Visualization of metrics during training of PyTorch-Lightning models

The current logic in nidl is to separate the implementation of the actual model (i.e. everything required to fit the model on data) from everything else, such as metrics computation and logging. This is usually performed to check the behavior of a model during training or validation but it is not essential for fitting.

This notebook will show you how to visualize some metrics (either given by torchmetrics, scikit-learn or a custom function score) during the training of a Pytorch Lightning model, using the MetricsCallback callback.

Setup

This notebook requires some packages besides nidl. Let’s first start with importing our standard libraries below:

import os
import re

import matplotlib.pyplot as plt
import torch.nn.functional as func
from tensorboard.backend.event_processing import event_accumulator
from torch import concat, nn
from torch.optim import SGD
from torch.utils.data import DataLoader
from torchmetrics import Accuracy, F1Score, Precision, Recall
from torchvision import transforms
from torchvision.datasets import MNIST
from torchvision.utils import make_grid

from nidl.callbacks import MetricsCallback
from nidl.estimators import BaseEstimator, ClassifierMixin
from nidl.estimators.ssl import SimCLR
from nidl.metrics.ssl import (
    alignment_score,
    contrastive_accuracy_score,
    uniformity_score,
)
from nidl.transforms.transforms import MultiViewsTransform

We define some global parameters that will be used throughout the notebook:

data_dir = "/tmp/mnist"
batch_size = 256
num_workers = 10
latent_size = 32

Classification metrics in supervised learning

For illustration purposes on how to use the metrics callback, we will focus on the popular MNIST dataset. It contains 60k training images and 10k test images of size 28x28 pixels. Each image contains a digit from 0 to 9. We will train a simple classification model on these data and log standard classification metrics (accuracy, F1-score, precision, recall) to understand how the MetricsCallback works.

We start by loading the MNIST dataset dataset with standard scaling transforms.

scale_transforms = transforms.Compose(
    [transforms.ToTensor(), transforms.Normalize((0.5,), (0.5,))]
)
train_xy_dataset = MNIST(data_dir, download=True, transform=scale_transforms)
test_xy_dataset = MNIST(
    data_dir, download=True, train=False, transform=scale_transforms
)

Then, we create the data loaders for training and testing the models.

train_xy_loader = DataLoader(
    train_xy_dataset,
    batch_size=batch_size,
    shuffle=True,
    drop_last=False,
    pin_memory=True,
    num_workers=num_workers,
)
test_xy_loader = DataLoader(
    test_xy_dataset,
    batch_size=batch_size,
    shuffle=False,
    drop_last=False,
    num_workers=num_workers,
)

/opt/hostedtoolcache/Python/3.12.14/x64/lib/python3.12/site-packages/torch/utils/data/dataloader.py:431: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  self.check_worker_number_rationality()

Before starting training classifiers, let’s visualize some examples of the dataset.

def show_images(images, title=None, nrow=8):
    grid = make_grid(images, nrow=nrow, normalize=True, pad_value=1)
    plt.figure(figsize=(10, 5))
    plt.imshow(grid.permute(1, 2, 0).cpu())
    if title:
        plt.title(title)
    plt.axis("off")
    plt.show()


images, labels = next(iter(test_xy_loader))
fig, axes = plt.subplots(1, 3, figsize=(6, 4))
for i in range(3):
    axes[i].imshow(images[i][0].cpu(), cmap="gray")
    axes[i].set_title(f"Label={labels[i].item()}")
    axes[i].axis("off")

plt.tight_layout()
plt.show()

/opt/hostedtoolcache/Python/3.12.14/x64/lib/python3.12/site-packages/torch/utils/data/dataloader.py:437: UserWarning: This DataLoader will create 10 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
  self.check_worker_number_rationality()

Supervised training with metrics callback

Since MNIST images are small, we can use a simple LeNet-like architecture as encoder, with few parameters. The output dimension of the encoder is set to 32, which is approximately 30 times smaller that the input, but larger than the number of input classes (10).

class LeNet(nn.Module):
    def __init__(self, num_classes=10):
        super().__init__()
        self.latent_size = num_classes
        self.conv1 = nn.Conv2d(1, 6, kernel_size=5, stride=1, padding=2)
        self.pool1 = nn.AvgPool2d(2, 2)
        self.conv2 = nn.Conv2d(6, 16, kernel_size=5)
        self.pool2 = nn.AvgPool2d(2, 2)
        self.fc1 = nn.Linear(16 * 5 * 5, 120)
        self.fc2 = nn.Linear(120, 84)
        self.fc3 = nn.Linear(84, num_classes)

    def forward(self, x):
        x = func.relu(self.conv1(x))
        x = self.pool1(x)
        x = func.relu(self.conv2(x))
        x = self.pool2(x)
        x = x.view(x.size(0), -1)
        x = func.relu(self.fc1(x))
        x = func.relu(self.fc2(x))
        return self.fc3(x)

We can now fit a supervised model with cross-entopy loss (PL-compatible). We limit the training to 10 epochs for the sake of time and because it is enough for checking the evolution of the metrics across training.

class SupervisedCrossEntropy(ClassifierMixin, BaseEstimator):
    """Self-contained Pytorch-Lightning model.

    Metrics are not computed here since it is not essential to model's
    training.
    """

    def __init__(
        self,
        backbone: nn.Module,
        lr: float = 1e-2,
        momentum: float = 0.9,
        weight_decay: float = 5e-4,
        **kwargs,
    ):
        super().__init__(ignore=["callbacks", "backbone"], **kwargs)
        self.backbone = backbone
        self.lr = lr
        self.momentum = momentum
        self.weight_decay = weight_decay

    def configure_optimizers(self):
        optimizer = SGD(
            self.parameters(),
            lr=self.lr,
            momentum=self.momentum,
            weight_decay=self.weight_decay,
        )
        return [optimizer]

    def forward(self, imgs):
        return self.backbone(imgs)

    def training_step(
        self,
        batch,
        batch_idx: int,
        dataloader_idx: int = 0,
    ):
        imgs, labels = batch
        preds = self.backbone(imgs)
        loss = nn.functional.cross_entropy(preds, labels)
        self.log("loss/train", loss, on_step=True)
        return {
            "loss": loss,
            "preds": preds,
            "target": labels,
        }

    def validation_step(
        self,
        batch,
        batch_idx: int,
        dataloader_idx: int = 0,
    ):
        imgs, labels = batch
        preds = self.backbone(imgs)
        loss = nn.functional.cross_entropy(preds, labels)
        self.log("loss/val", loss, on_epoch=True)
        return {
            "val_loss": loss,
            "preds": preds,
            "target": labels,
        }

We create the metrics callback that will log the classification metrics during training every training step and every validation epoch (default):

callback = MetricsCallback(
    metrics={
        "acc1": Accuracy(task="multiclass", num_classes=10),
        "f1": F1Score(task="multiclass", num_classes=10),
        "precision": Precision(task="multiclass", num_classes=10),
        "recall": Recall(task="multiclass", num_classes=10),
    }
)

Finally, we fit the model:

model = SupervisedCrossEntropy(
    backbone=LeNet(),
    lr=1e-2,
    momentum=0.9,
    max_epochs=10,
    check_val_every_n_epoch=2,
    enable_checkpointing=False,
    callbacks=callback,  # <-- key part for metrics computation
)
model.fit(train_xy_loader, test_xy_loader)

Sanity Checking: |          | 0/? [00:00<?, ?it/s]/opt/hostedtoolcache/Python/3.12.14/x64/lib/python3.12/site-packages/pytorch_lightning/utilities/_pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead.

Sanity Checking: |          | 0/? [00:00<?, ?it/s]
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/opt/hostedtoolcache/Python/3.12.14/x64/lib/python3.12/site-packages/torch/utils/data/dataloader.py:1102: UserWarning: 'pin_memory' argument is set as true but no accelerator is found, then device pinned memory won't be used.
  super().__init__(loader)

Training: |          | 0/? [00:00<?, ?it/s]
Training: |          | 0/? [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/235 [00:00<?, ?it/s]
Epoch 0:   0%|          | 1/235 [00:00<00:58,  4.02it/s]
Epoch 0:   0%|          | 1/235 [00:00<00:58,  4.01it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   1%|          | 2/235 [00:00<00:43,  5.38it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   1%|          | 2/235 [00:00<00:43,  5.37it/s, v_num=16, acc1/train=0.0898, f1/train=0.0898, precision/train=0.0898, recall/train=0.0898]
Epoch 0:   1%|▏         | 3/235 [00:00<00:32,  7.13it/s, v_num=16, acc1/train=0.0898, f1/train=0.0898, precision/train=0.0898, recall/train=0.0898]
Epoch 0:   1%|▏         | 3/235 [00:00<00:32,  7.12it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   2%|▏         | 4/235 [00:00<00:26,  8.63it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   2%|▏         | 4/235 [00:00<00:26,  8.62it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   2%|▏         | 5/235 [00:00<00:23,  9.99it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   2%|▏         | 5/235 [00:00<00:23,  9.98it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   3%|▎         | 6/235 [00:00<00:20, 11.17it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   3%|▎         | 6/235 [00:00<00:20, 11.16it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   3%|▎         | 7/235 [00:00<00:18, 12.20it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   3%|▎         | 7/235 [00:00<00:18, 12.19it/s, v_num=16, acc1/train=0.0742, f1/train=0.0742, precision/train=0.0742, recall/train=0.0742]
Epoch 0:   3%|▎         | 8/235 [00:00<00:17, 13.02it/s, v_num=16, acc1/train=0.0742, f1/train=0.0742, precision/train=0.0742, recall/train=0.0742]
Epoch 0:   3%|▎         | 8/235 [00:00<00:17, 13.01it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:   4%|▍         | 9/235 [00:00<00:16, 13.82it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:   4%|▍         | 9/235 [00:00<00:16, 13.81it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:   4%|▍         | 10/235 [00:00<00:15, 14.53it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:   4%|▍         | 10/235 [00:00<00:15, 14.52it/s, v_num=16, acc1/train=0.145, f1/train=0.145, precision/train=0.145, recall/train=0.145]
Epoch 0:   5%|▍         | 11/235 [00:00<00:14, 15.18it/s, v_num=16, acc1/train=0.145, f1/train=0.145, precision/train=0.145, recall/train=0.145]
Epoch 0:   5%|▍         | 11/235 [00:00<00:14, 15.17it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:   5%|▌         | 12/235 [00:00<00:14, 15.76it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:   5%|▌         | 12/235 [00:00<00:14, 15.75it/s, v_num=16, acc1/train=0.152, f1/train=0.152, precision/train=0.152, recall/train=0.152]
Epoch 0:   6%|▌         | 13/235 [00:00<00:13, 16.18it/s, v_num=16, acc1/train=0.152, f1/train=0.152, precision/train=0.152, recall/train=0.152]
Epoch 0:   6%|▌         | 13/235 [00:00<00:13, 16.17it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:   6%|▌         | 14/235 [00:00<00:13, 16.74it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:   6%|▌         | 14/235 [00:00<00:13, 16.73it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   6%|▋         | 15/235 [00:00<00:12, 17.31it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   6%|▋         | 15/235 [00:00<00:12, 17.30it/s, v_num=16, acc1/train=0.141, f1/train=0.141, precision/train=0.141, recall/train=0.141]
Epoch 0:   7%|▋         | 16/235 [00:00<00:12, 17.79it/s, v_num=16, acc1/train=0.141, f1/train=0.141, precision/train=0.141, recall/train=0.141]
Epoch 0:   7%|▋         | 16/235 [00:00<00:12, 17.78it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:   7%|▋         | 17/235 [00:00<00:11, 18.28it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:   7%|▋         | 17/235 [00:00<00:11, 18.27it/s, v_num=16, acc1/train=0.0508, f1/train=0.0508, precision/train=0.0508, recall/train=0.0508]
Epoch 0:   8%|▊         | 18/235 [00:00<00:11, 18.69it/s, v_num=16, acc1/train=0.0508, f1/train=0.0508, precision/train=0.0508, recall/train=0.0508]
Epoch 0:   8%|▊         | 18/235 [00:00<00:11, 18.68it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:   8%|▊         | 19/235 [00:00<00:11, 19.12it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:   8%|▊         | 19/235 [00:00<00:11, 19.11it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   9%|▊         | 20/235 [00:01<00:11, 19.48it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:   9%|▊         | 20/235 [00:01<00:11, 19.47it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:   9%|▉         | 21/235 [00:01<00:10, 19.69it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:   9%|▉         | 21/235 [00:01<00:10, 19.68it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   9%|▉         | 22/235 [00:01<00:10, 19.94it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:   9%|▉         | 22/235 [00:01<00:10, 19.93it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  10%|▉         | 23/235 [00:01<00:10, 20.16it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  10%|▉         | 23/235 [00:01<00:10, 20.15it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  10%|█         | 24/235 [00:01<00:10, 20.36it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  10%|█         | 24/235 [00:01<00:10, 20.35it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:  11%|█         | 25/235 [00:01<00:10, 20.55it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:  11%|█         | 25/235 [00:01<00:10, 20.54it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  11%|█         | 26/235 [00:01<00:10, 20.73it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  11%|█         | 26/235 [00:01<00:10, 20.72it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  11%|█▏        | 27/235 [00:01<00:09, 20.89it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  11%|█▏        | 27/235 [00:01<00:09, 20.89it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  12%|█▏        | 28/235 [00:01<00:09, 21.05it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  12%|█▏        | 28/235 [00:01<00:09, 21.05it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  12%|█▏        | 29/235 [00:01<00:09, 21.20it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  12%|█▏        | 29/235 [00:01<00:09, 21.19it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  13%|█▎        | 30/235 [00:01<00:09, 21.34it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  13%|█▎        | 30/235 [00:01<00:09, 21.33it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  13%|█▎        | 31/235 [00:01<00:09, 21.48it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  13%|█▎        | 31/235 [00:01<00:09, 21.47it/s, v_num=16, acc1/train=0.148, f1/train=0.148, precision/train=0.148, recall/train=0.148]
Epoch 0:  14%|█▎        | 32/235 [00:01<00:09, 21.60it/s, v_num=16, acc1/train=0.148, f1/train=0.148, precision/train=0.148, recall/train=0.148]
Epoch 0:  14%|█▎        | 32/235 [00:01<00:09, 21.59it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  14%|█▍        | 33/235 [00:01<00:09, 21.72it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  14%|█▍        | 33/235 [00:01<00:09, 21.71it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  14%|█▍        | 34/235 [00:01<00:09, 21.84it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  14%|█▍        | 34/235 [00:01<00:09, 21.83it/s, v_num=16, acc1/train=0.137, f1/train=0.137, precision/train=0.137, recall/train=0.137]
Epoch 0:  15%|█▍        | 35/235 [00:01<00:09, 21.95it/s, v_num=16, acc1/train=0.137, f1/train=0.137, precision/train=0.137, recall/train=0.137]
Epoch 0:  15%|█▍        | 35/235 [00:01<00:09, 21.94it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  15%|█▌        | 36/235 [00:01<00:09, 22.05it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  15%|█▌        | 36/235 [00:01<00:09, 22.05it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  16%|█▌        | 37/235 [00:01<00:08, 22.25it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  16%|█▌        | 37/235 [00:01<00:08, 22.25it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  16%|█▌        | 38/235 [00:01<00:08, 22.39it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  16%|█▌        | 38/235 [00:01<00:08, 22.38it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:  17%|█▋        | 39/235 [00:01<00:08, 22.56it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:  17%|█▋        | 39/235 [00:01<00:08, 22.56it/s, v_num=16, acc1/train=0.145, f1/train=0.145, precision/train=0.145, recall/train=0.145]
Epoch 0:  17%|█▋        | 40/235 [00:01<00:08, 22.68it/s, v_num=16, acc1/train=0.145, f1/train=0.145, precision/train=0.145, recall/train=0.145]
Epoch 0:  17%|█▋        | 40/235 [00:01<00:08, 22.67it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  17%|█▋        | 41/235 [00:01<00:08, 22.80it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  17%|█▋        | 41/235 [00:01<00:08, 22.79it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  18%|█▊        | 42/235 [00:01<00:08, 22.95it/s, v_num=16, acc1/train=0.129, f1/train=0.129, precision/train=0.129, recall/train=0.129]
Epoch 0:  18%|█▊        | 42/235 [00:01<00:08, 22.94it/s, v_num=16, acc1/train=0.0898, f1/train=0.0898, precision/train=0.0898, recall/train=0.0898]
Epoch 0:  18%|█▊        | 43/235 [00:01<00:08, 23.07it/s, v_num=16, acc1/train=0.0898, f1/train=0.0898, precision/train=0.0898, recall/train=0.0898]
Epoch 0:  18%|█▊        | 43/235 [00:01<00:08, 23.06it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  19%|█▊        | 44/235 [00:01<00:08, 23.21it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  19%|█▊        | 44/235 [00:01<00:08, 23.20it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  19%|█▉        | 45/235 [00:01<00:08, 23.31it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  19%|█▉        | 45/235 [00:01<00:08, 23.30it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  20%|█▉        | 46/235 [00:01<00:08, 23.33it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  20%|█▉        | 46/235 [00:01<00:08, 23.33it/s, v_num=16, acc1/train=0.0859, f1/train=0.0859, precision/train=0.0859, recall/train=0.0859]
Epoch 0:  20%|██        | 47/235 [00:02<00:08, 23.46it/s, v_num=16, acc1/train=0.0859, f1/train=0.0859, precision/train=0.0859, recall/train=0.0859]
Epoch 0:  20%|██        | 47/235 [00:02<00:08, 23.45it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:  20%|██        | 48/235 [00:02<00:07, 23.53it/s, v_num=16, acc1/train=0.125, f1/train=0.125, precision/train=0.125, recall/train=0.125]
Epoch 0:  20%|██        | 48/235 [00:02<00:07, 23.53it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  21%|██        | 49/235 [00:02<00:07, 23.65it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  21%|██        | 49/235 [00:02<00:07, 23.64it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  21%|██▏       | 50/235 [00:02<00:07, 23.74it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  21%|██▏       | 50/235 [00:02<00:07, 23.73it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  22%|██▏       | 51/235 [00:02<00:07, 23.74it/s, v_num=16, acc1/train=0.133, f1/train=0.133, precision/train=0.133, recall/train=0.133]
Epoch 0:  22%|██▏       | 51/235 [00:02<00:07, 23.73it/s, v_num=16, acc1/train=0.137, f1/train=0.137, precision/train=0.137, recall/train=0.137]
Epoch 0:  22%|██▏       | 52/235 [00:02<00:07, 23.78it/s, v_num=16, acc1/train=0.137, f1/train=0.137, precision/train=0.137, recall/train=0.137]
Epoch 0:  22%|██▏       | 52/235 [00:02<00:07, 23.78it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  23%|██▎       | 53/235 [00:02<00:07, 23.83it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  23%|██▎       | 53/235 [00:02<00:07, 23.82it/s, v_num=16, acc1/train=0.0938, f1/train=0.0938, precision/train=0.0938, recall/train=0.0938]
Epoch 0:  23%|██▎       | 54/235 [00:02<00:07, 23.85it/s, v_num=16, acc1/train=0.0938, f1/train=0.0938, precision/train=0.0938, recall/train=0.0938]
Epoch 0:  23%|██▎       | 54/235 [00:02<00:07, 23.85it/s, v_num=16, acc1/train=0.0938, f1/train=0.0938, precision/train=0.0938, recall/train=0.0938]
Epoch 0:  23%|██▎       | 55/235 [00:02<00:07, 23.89it/s, v_num=16, acc1/train=0.0938, f1/train=0.0938, precision/train=0.0938, recall/train=0.0938]
Epoch 0:  23%|██▎       | 55/235 [00:02<00:07, 23.89it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  24%|██▍       | 56/235 [00:02<00:07, 23.94it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  24%|██▍       | 56/235 [00:02<00:07, 23.93it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  24%|██▍       | 57/235 [00:02<00:07, 24.05it/s, v_num=16, acc1/train=0.105, f1/train=0.105, precision/train=0.105, recall/train=0.105]
Epoch 0:  24%|██▍       | 57/235 [00:02<00:07, 24.05it/s, v_num=16, acc1/train=0.0859, f1/train=0.0859, precision/train=0.0859, recall/train=0.0859]
Epoch 0:  25%|██▍       | 58/235 [00:02<00:07, 24.13it/s, v_num=16, acc1/train=0.0859, f1/train=0.0859, precision/train=0.0859, recall/train=0.0859]
Epoch 0:  25%|██▍       | 58/235 [00:02<00:07, 24.12it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  25%|██▌       | 59/235 [00:02<00:07, 24.23it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  25%|██▌       | 59/235 [00:02<00:07, 24.23it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  26%|██▌       | 60/235 [00:02<00:07, 24.30it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  26%|██▌       | 60/235 [00:02<00:07, 24.30it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  26%|██▌       | 61/235 [00:02<00:07, 24.29it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  26%|██▌       | 61/235 [00:02<00:07, 24.29it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  26%|██▋       | 62/235 [00:02<00:07, 24.32it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  26%|██▋       | 62/235 [00:02<00:07, 24.32it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  27%|██▋       | 63/235 [00:02<00:07, 24.35it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  27%|██▋       | 63/235 [00:02<00:07, 24.35it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  27%|██▋       | 64/235 [00:02<00:07, 24.38it/s, v_num=16, acc1/train=0.0977, f1/train=0.0977, precision/train=0.0977, recall/train=0.0977]
Epoch 0:  27%|██▋       | 64/235 [00:02<00:07, 24.38it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  28%|██▊       | 65/235 [00:02<00:06, 24.41it/s, v_num=16, acc1/train=0.156, f1/train=0.156, precision/train=0.156, recall/train=0.156]
Epoch 0:  28%|██▊       | 65/235 [00:02<00:06, 24.41it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  28%|██▊       | 66/235 [00:02<00:06, 24.44it/s, v_num=16, acc1/train=0.109, f1/train=0.109, precision/train=0.109, recall/train=0.109]
Epoch 0:  28%|██▊       | 66/235 [00:02<00:06, 24.44it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  29%|██▊       | 67/235 [00:02<00:06, 24.54it/s, v_num=16, acc1/train=0.113, f1/train=0.113, precision/train=0.113, recall/train=0.113]
Epoch 0:  29%|██▊       | 67/235 [00:02<00:06, 24.53it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  29%|██▉       | 68/235 [00:02<00:06, 24.60it/s, v_num=16, acc1/train=0.102, f1/train=0.102, precision/train=0.102, recall/train=0.102]
Epoch 0:  29%|██▉       | 68/235 [00:02<00:06, 24.59it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  29%|██▉       | 69/235 [00:02<00:06, 24.67it/s, v_num=16, acc1/train=0.117, f1/train=0.117, precision/train=0.117, recall/train=0.117]
Epoch 0:  29%|██▉       | 69/235 [00:02<00:06, 24.67it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:  30%|██▉       | 70/235 [00:02<00:06, 24.73it/s, v_num=16, acc1/train=0.082, f1/train=0.082, precision/train=0.082, recall/train=0.082]
Epoch 0:  30%|██▉       | 70/235 [00:02<00:06, 24.73it/s, v_num=16, acc1/train=0.152, f1/train=0.152, precision/train=0.152, recall/train=0.152]
Epoch 0:  30%|███       | 71/235 [00:02<00:06, 24.80it/s, v_num=16, acc1/train=0.152, f1/train=0.152, precision/train=0.152, recall/train=0.152]
Epoch 0:  30%|███       | 71/235 [00:02<00:06, 24.79it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  31%|███       | 72/235 [00:02<00:06, 24.85it/s, v_num=16, acc1/train=0.121, f1/train=0.121, precision/train=0.121, recall/train=0.121]
Epoch 0:  31%|███       | 72/235 [00:02<00:06, 24.85it/s, v_num=16, acc1/train=0.195, f1/train=0.195, precision/train=0.195, recall/train=0.195]
Epoch 0:  31%|███       | 73/235 [00:02<00:06, 24.85it/s, v_num=16, acc1/train=0.195, f1/train=0.195, precision/train=0.195, recall/train=0.195]
Epoch 0:  31%|███       | 73/235 [00:02<00:06, 24.85it/s, v_num=16, acc1/train=0.242, f1/train=0.242, precision/train=0.242, recall/train=0.242]
Epoch 0:  31%|███▏      | 74/235 [00:02<00:06, 24.90it/s, v_num=16, acc1/train=0.242, f1/train=0.242, precision/train=0.242, recall/train=0.242]
Epoch 0:  31%|███▏      | 74/235 [00:02<00:06, 24.90it/s, v_num=16, acc1/train=0.238, f1/train=0.238, precision/train=0.238, recall/train=0.238]
Epoch 0:  32%|███▏      | 75/235 [00:03<00:06, 24.97it/s, v_num=16, acc1/train=0.238, f1/train=0.238, precision/train=0.238, recall/train=0.238]
Epoch 0:  32%|███▏      | 75/235 [00:03<00:06, 24.97it/s, v_num=16, acc1/train=0.293, f1/train=0.293, precision/train=0.293, recall/train=0.293]
Epoch 0:  32%|███▏      | 76/235 [00:03<00:06, 25.03it/s, v_num=16, acc1/train=0.293, f1/train=0.293, precision/train=0.293, recall/train=0.293]
Epoch 0:  32%|███▏      | 76/235 [00:03<00:06, 25.02it/s, v_num=16, acc1/train=0.281, f1/train=0.281, precision/train=0.281, recall/train=0.281]
Epoch 0:  33%|███▎      | 77/235 [00:03<00:06, 25.09it/s, v_num=16, acc1/train=0.281, f1/train=0.281, precision/train=0.281, recall/train=0.281]
Epoch 0:  33%|███▎      | 77/235 [00:03<00:06, 25.09it/s, v_num=16, acc1/train=0.262, f1/train=0.262, precision/train=0.262, recall/train=0.262]
Epoch 0:  33%|███▎      | 78/235 [00:03<00:06, 25.14it/s, v_num=16, acc1/train=0.262, f1/train=0.262, precision/train=0.262, recall/train=0.262]
Epoch 0:  33%|███▎      | 78/235 [00:03<00:06, 25.13it/s, v_num=16, acc1/train=0.324, f1/train=0.324, precision/train=0.324, recall/train=0.324]
Epoch 0:  34%|███▎      | 79/235 [00:03<00:06, 25.20it/s, v_num=16, acc1/train=0.324, f1/train=0.324, precision/train=0.324, recall/train=0.324]
Epoch 0:  34%|███▎      | 79/235 [00:03<00:06, 25.20it/s, v_num=16, acc1/train=0.309, f1/train=0.309, precision/train=0.309, recall/train=0.309]
Epoch 0:  34%|███▍      | 80/235 [00:03<00:06, 25.25it/s, v_num=16, acc1/train=0.309, f1/train=0.309, precision/train=0.309, recall/train=0.309]
Epoch 0:  34%|███▍      | 80/235 [00:03<00:06, 25.24it/s, v_num=16, acc1/train=0.312, f1/train=0.312, precision/train=0.312, recall/train=0.312]
Epoch 0:  34%|███▍      | 81/235 [00:03<00:06, 25.30it/s, v_num=16, acc1/train=0.312, f1/train=0.312, precision/train=0.312, recall/train=0.312]
Epoch 0:  34%|███▍      | 81/235 [00:03<00:06, 25.30it/s, v_num=16, acc1/train=0.328, f1/train=0.328, precision/train=0.328, recall/train=0.328]
Epoch 0:  35%|███▍      | 82/235 [00:03<00:06, 25.34it/s, v_num=16, acc1/train=0.328, f1/train=0.328, precision/train=0.328, recall/train=0.328]
Epoch 0:  35%|███▍      | 82/235 [00:03<00:06, 25.33it/s, v_num=16, acc1/train=0.348, f1/train=0.348, precision/train=0.348, recall/train=0.348]
Epoch 0:  35%|███▌      | 83/235 [00:03<00:05, 25.37it/s, v_num=16, acc1/train=0.348, f1/train=0.348, precision/train=0.348, recall/train=0.348]
Epoch 0:  35%|███▌      | 83/235 [00:03<00:05, 25.36it/s, v_num=16, acc1/train=0.375, f1/train=0.375, precision/train=0.375, recall/train=0.375]
Epoch 0:  36%|███▌      | 84/235 [00:03<00:05, 25.42it/s, v_num=16, acc1/train=0.375, f1/train=0.375, precision/train=0.375, recall/train=0.375]
Epoch 0:  36%|███▌      | 84/235 [00:03<00:05, 25.42it/s, v_num=16, acc1/train=0.324, f1/train=0.324, precision/train=0.324, recall/train=0.324]
Epoch 0:  36%|███▌      | 85/235 [00:03<00:05, 25.46it/s, v_num=16, acc1/train=0.324, f1/train=0.324, precision/train=0.324, recall/train=0.324]
Epoch 0:  36%|███▌      | 85/235 [00:03<00:05, 25.46it/s, v_num=16, acc1/train=0.426, f1/train=0.426, precision/train=0.426, recall/train=0.426]
Epoch 0:  37%|███▋      | 86/235 [00:03<00:05, 25.52it/s, v_num=16, acc1/train=0.426, f1/train=0.426, precision/train=0.426, recall/train=0.426]
Epoch 0:  37%|███▋      | 86/235 [00:03<00:05, 25.51it/s, v_num=16, acc1/train=0.477, f1/train=0.477, precision/train=0.477, recall/train=0.477]
Epoch 0:  37%|███▋      | 87/235 [00:03<00:05, 25.56it/s, v_num=16, acc1/train=0.477, f1/train=0.477, precision/train=0.477, recall/train=0.477]
Epoch 0:  37%|███▋      | 87/235 [00:03<00:05, 25.55it/s, v_num=16, acc1/train=0.520, f1/train=0.520, precision/train=0.520, recall/train=0.520]
Epoch 0:  37%|███▋      | 88/235 [00:03<00:05, 25.56it/s, v_num=16, acc1/train=0.520, f1/train=0.520, precision/train=0.520, recall/train=0.520]
Epoch 0:  37%|███▋      | 88/235 [00:03<00:05, 25.55it/s, v_num=16, acc1/train=0.551, f1/train=0.551, precision/train=0.551, recall/train=0.551]
Epoch 0:  38%|███▊      | 89/235 [00:03<00:05, 25.62it/s, v_num=16, acc1/train=0.551, f1/train=0.551, precision/train=0.551, recall/train=0.551]
Epoch 0:  38%|███▊      | 89/235 [00:03<00:05, 25.62it/s, v_num=16, acc1/train=0.555, f1/train=0.555, precision/train=0.555, recall/train=0.555]
Epoch 0:  38%|███▊      | 90/235 [00:03<00:05, 25.66it/s, v_num=16, acc1/train=0.555, f1/train=0.555, precision/train=0.555, recall/train=0.555]
Epoch 0:  38%|███▊      | 90/235 [00:03<00:05, 25.65it/s, v_num=16, acc1/train=0.578, f1/train=0.578, precision/train=0.578, recall/train=0.578]
Epoch 0:  39%|███▊      | 91/235 [00:03<00:05, 25.70it/s, v_num=16, acc1/train=0.578, f1/train=0.578, precision/train=0.578, recall/train=0.578]
Epoch 0:  39%|███▊      | 91/235 [00:03<00:05, 25.70it/s, v_num=16, acc1/train=0.570, f1/train=0.570, precision/train=0.570, recall/train=0.570]
Epoch 0:  39%|███▉      | 92/235 [00:03<00:05, 25.74it/s, v_num=16, acc1/train=0.570, f1/train=0.570, precision/train=0.570, recall/train=0.570]
Epoch 0:  39%|███▉      | 92/235 [00:03<00:05, 25.73it/s, v_num=16, acc1/train=0.668, f1/train=0.668, precision/train=0.668, recall/train=0.668]
Epoch 0:  40%|███▉      | 93/235 [00:03<00:05, 25.78it/s, v_num=16, acc1/train=0.668, f1/train=0.668, precision/train=0.668, recall/train=0.668]
Epoch 0:  40%|███▉      | 93/235 [00:03<00:05, 25.78it/s, v_num=16, acc1/train=0.508, f1/train=0.508, precision/train=0.508, recall/train=0.508]
Epoch 0:  40%|████      | 94/235 [00:03<00:05, 25.81it/s, v_num=16, acc1/train=0.508, f1/train=0.508, precision/train=0.508, recall/train=0.508]
Epoch 0:  40%|████      | 94/235 [00:03<00:05, 25.81it/s, v_num=16, acc1/train=0.555, f1/train=0.555, precision/train=0.555, recall/train=0.555]
Epoch 0:  40%|████      | 95/235 [00:03<00:05, 25.86it/s, v_num=16, acc1/train=0.555, f1/train=0.555, precision/train=0.555, recall/train=0.555]
Epoch 0:  40%|████      | 95/235 [00:03<00:05, 25.85it/s, v_num=16, acc1/train=0.613, f1/train=0.613, precision/train=0.613, recall/train=0.613]
Epoch 0:  41%|████      | 96/235 [00:03<00:05, 25.89it/s, v_num=16, acc1/train=0.613, f1/train=0.613, precision/train=0.613, recall/train=0.613]
Epoch 0:  41%|████      | 96/235 [00:03<00:05, 25.88it/s, v_num=16, acc1/train=0.625, f1/train=0.625, precision/train=0.625, recall/train=0.625]
Epoch 0:  41%|████▏     | 97/235 [00:03<00:05, 25.93it/s, v_num=16, acc1/train=0.625, f1/train=0.625, precision/train=0.625, recall/train=0.625]
Epoch 0:  41%|████▏     | 97/235 [00:03<00:05, 25.93it/s, v_num=16, acc1/train=0.645, f1/train=0.645, precision/train=0.645, recall/train=0.645]
Epoch 0:  42%|████▏     | 98/235 [00:03<00:05, 25.95it/s, v_num=16, acc1/train=0.645, f1/train=0.645, precision/train=0.645, recall/train=0.645]
Epoch 0:  42%|████▏     | 98/235 [00:03<00:05, 25.95it/s, v_num=16, acc1/train=0.719, f1/train=0.719, precision/train=0.719, recall/train=0.719]
Epoch 0:  42%|████▏     | 99/235 [00:03<00:05, 26.00it/s, v_num=16, acc1/train=0.719, f1/train=0.719, precision/train=0.719, recall/train=0.719]
Epoch 0:  42%|████▏     | 99/235 [00:03<00:05, 25.99it/s, v_num=16, acc1/train=0.617, f1/train=0.617, precision/train=0.617, recall/train=0.617]
Epoch 0:  43%|████▎     | 100/235 [00:03<00:05, 26.02it/s, v_num=16, acc1/train=0.617, f1/train=0.617, precision/train=0.617, recall/train=0.617]
Epoch 0:  43%|████▎     | 100/235 [00:03<00:05, 26.02it/s, v_num=16, acc1/train=0.680, f1/train=0.680, precision/train=0.680, recall/train=0.680]
Epoch 0:  43%|████▎     | 101/235 [00:03<00:05, 26.06it/s, v_num=16, acc1/train=0.680, f1/train=0.680, precision/train=0.680, recall/train=0.680]
Epoch 0:  43%|████▎     | 101/235 [00:03<00:05, 26.06it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  43%|████▎     | 102/235 [00:03<00:05, 26.09it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  43%|████▎     | 102/235 [00:03<00:05, 26.08it/s, v_num=16, acc1/train=0.730, f1/train=0.730, precision/train=0.730, recall/train=0.730]
Epoch 0:  44%|████▍     | 103/235 [00:03<00:05, 26.13it/s, v_num=16, acc1/train=0.730, f1/train=0.730, precision/train=0.730, recall/train=0.730]
Epoch 0:  44%|████▍     | 103/235 [00:03<00:05, 26.13it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  44%|████▍     | 104/235 [00:03<00:05, 26.16it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  44%|████▍     | 104/235 [00:03<00:05, 26.15it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  45%|████▍     | 105/235 [00:04<00:04, 26.20it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  45%|████▍     | 105/235 [00:04<00:04, 26.20it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  45%|████▌     | 106/235 [00:04<00:04, 26.23it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  45%|████▌     | 106/235 [00:04<00:04, 26.22it/s, v_num=16, acc1/train=0.695, f1/train=0.695, precision/train=0.695, recall/train=0.695]
Epoch 0:  46%|████▌     | 107/235 [00:04<00:04, 26.27it/s, v_num=16, acc1/train=0.695, f1/train=0.695, precision/train=0.695, recall/train=0.695]
Epoch 0:  46%|████▌     | 107/235 [00:04<00:04, 26.27it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  46%|████▌     | 108/235 [00:04<00:04, 26.29it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  46%|████▌     | 108/235 [00:04<00:04, 26.29it/s, v_num=16, acc1/train=0.645, f1/train=0.645, precision/train=0.645, recall/train=0.645]
Epoch 0:  46%|████▋     | 109/235 [00:04<00:04, 26.34it/s, v_num=16, acc1/train=0.645, f1/train=0.645, precision/train=0.645, recall/train=0.645]
Epoch 0:  46%|████▋     | 109/235 [00:04<00:04, 26.33it/s, v_num=16, acc1/train=0.695, f1/train=0.695, precision/train=0.695, recall/train=0.695]
Epoch 0:  47%|████▋     | 110/235 [00:04<00:04, 26.37it/s, v_num=16, acc1/train=0.695, f1/train=0.695, precision/train=0.695, recall/train=0.695]
Epoch 0:  47%|████▋     | 110/235 [00:04<00:04, 26.37it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  47%|████▋     | 111/235 [00:04<00:04, 26.40it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  47%|████▋     | 111/235 [00:04<00:04, 26.39it/s, v_num=16, acc1/train=0.676, f1/train=0.676, precision/train=0.676, recall/train=0.676]
Epoch 0:  48%|████▊     | 112/235 [00:04<00:04, 26.44it/s, v_num=16, acc1/train=0.676, f1/train=0.676, precision/train=0.676, recall/train=0.676]
Epoch 0:  48%|████▊     | 112/235 [00:04<00:04, 26.44it/s, v_num=16, acc1/train=0.754, f1/train=0.754, precision/train=0.754, recall/train=0.754]
Epoch 0:  48%|████▊     | 113/235 [00:04<00:04, 26.46it/s, v_num=16, acc1/train=0.754, f1/train=0.754, precision/train=0.754, recall/train=0.754]
Epoch 0:  48%|████▊     | 113/235 [00:04<00:04, 26.46it/s, v_num=16, acc1/train=0.723, f1/train=0.723, precision/train=0.723, recall/train=0.723]
Epoch 0:  49%|████▊     | 114/235 [00:04<00:04, 26.48it/s, v_num=16, acc1/train=0.723, f1/train=0.723, precision/train=0.723, recall/train=0.723]
Epoch 0:  49%|████▊     | 114/235 [00:04<00:04, 26.48it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  49%|████▉     | 115/235 [00:04<00:04, 26.52it/s, v_num=16, acc1/train=0.688, f1/train=0.688, precision/train=0.688, recall/train=0.688]
Epoch 0:  49%|████▉     | 115/235 [00:04<00:04, 26.52it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  49%|████▉     | 116/235 [00:04<00:04, 26.54it/s, v_num=16, acc1/train=0.707, f1/train=0.707, precision/train=0.707, recall/train=0.707]
Epoch 0:  49%|████▉     | 116/235 [00:04<00:04, 26.54it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  50%|████▉     | 117/235 [00:04<00:04, 26.58it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  50%|████▉     | 117/235 [00:04<00:04, 26.57it/s, v_num=16, acc1/train=0.750, f1/train=0.750, precision/train=0.750, recall/train=0.750]
Epoch 0:  50%|█████     | 118/235 [00:04<00:04, 26.60it/s, v_num=16, acc1/train=0.750, f1/train=0.750, precision/train=0.750, recall/train=0.750]
Epoch 0:  50%|█████     | 118/235 [00:04<00:04, 26.60it/s, v_num=16, acc1/train=0.785, f1/train=0.785, precision/train=0.785, recall/train=0.785]
Epoch 0:  51%|█████     | 119/235 [00:04<00:04, 26.63it/s, v_num=16, acc1/train=0.785, f1/train=0.785, precision/train=0.785, recall/train=0.785]
Epoch 0:  51%|█████     | 119/235 [00:04<00:04, 26.63it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  51%|█████     | 120/235 [00:04<00:04, 26.65it/s, v_num=16, acc1/train=0.715, f1/train=0.715, precision/train=0.715, recall/train=0.715]
Epoch 0:  51%|█████     | 120/235 [00:04<00:04, 26.65it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  51%|█████▏    | 121/235 [00:04<00:04, 26.69it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  51%|█████▏    | 121/235 [00:04<00:04, 26.68it/s, v_num=16, acc1/train=0.758, f1/train=0.758, precision/train=0.758, recall/train=0.758]
Epoch 0:  52%|█████▏    | 122/235 [00:04<00:04, 26.71it/s, v_num=16, acc1/train=0.758, f1/train=0.758, precision/train=0.758, recall/train=0.758]
Epoch 0:  52%|█████▏    | 122/235 [00:04<00:04, 26.70it/s, v_num=16, acc1/train=0.773, f1/train=0.773, precision/train=0.773, recall/train=0.773]
Epoch 0:  52%|█████▏    | 123/235 [00:04<00:04, 26.73it/s, v_num=16, acc1/train=0.773, f1/train=0.773, precision/train=0.773, recall/train=0.773]
Epoch 0:  52%|█████▏    | 123/235 [00:04<00:04, 26.73it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  53%|█████▎    | 124/235 [00:04<00:04, 26.74it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  53%|█████▎    | 124/235 [00:04<00:04, 26.73it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  53%|█████▎    | 125/235 [00:04<00:04, 26.77it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  53%|█████▎    | 125/235 [00:04<00:04, 26.77it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  54%|█████▎    | 126/235 [00:04<00:04, 26.79it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  54%|█████▎    | 126/235 [00:04<00:04, 26.78it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  54%|█████▍    | 127/235 [00:04<00:04, 26.81it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  54%|█████▍    | 127/235 [00:04<00:04, 26.81it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  54%|█████▍    | 128/235 [00:04<00:03, 26.83it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  54%|█████▍    | 128/235 [00:04<00:03, 26.82it/s, v_num=16, acc1/train=0.754, f1/train=0.754, precision/train=0.754, recall/train=0.754]
Epoch 0:  55%|█████▍    | 129/235 [00:04<00:03, 26.84it/s, v_num=16, acc1/train=0.754, f1/train=0.754, precision/train=0.754, recall/train=0.754]
Epoch 0:  55%|█████▍    | 129/235 [00:04<00:03, 26.84it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  55%|█████▌    | 130/235 [00:04<00:03, 26.85it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  55%|█████▌    | 130/235 [00:04<00:03, 26.85it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  56%|█████▌    | 131/235 [00:04<00:03, 26.89it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  56%|█████▌    | 131/235 [00:04<00:03, 26.88it/s, v_num=16, acc1/train=0.828, f1/train=0.828, precision/train=0.828, recall/train=0.828]
Epoch 0:  56%|█████▌    | 132/235 [00:04<00:03, 26.90it/s, v_num=16, acc1/train=0.828, f1/train=0.828, precision/train=0.828, recall/train=0.828]
Epoch 0:  56%|█████▌    | 132/235 [00:04<00:03, 26.90it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  57%|█████▋    | 133/235 [00:04<00:03, 26.93it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  57%|█████▋    | 133/235 [00:04<00:03, 26.93it/s, v_num=16, acc1/train=0.816, f1/train=0.816, precision/train=0.816, recall/train=0.816]
Epoch 0:  57%|█████▋    | 134/235 [00:04<00:03, 26.95it/s, v_num=16, acc1/train=0.816, f1/train=0.816, precision/train=0.816, recall/train=0.816]
Epoch 0:  57%|█████▋    | 134/235 [00:04<00:03, 26.95it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  57%|█████▋    | 135/235 [00:05<00:03, 26.98it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  57%|█████▋    | 135/235 [00:05<00:03, 26.98it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  58%|█████▊    | 136/235 [00:05<00:03, 27.00it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  58%|█████▊    | 136/235 [00:05<00:03, 27.00it/s, v_num=16, acc1/train=0.793, f1/train=0.793, precision/train=0.793, recall/train=0.793]
Epoch 0:  58%|█████▊    | 137/235 [00:05<00:03, 27.03it/s, v_num=16, acc1/train=0.793, f1/train=0.793, precision/train=0.793, recall/train=0.793]
Epoch 0:  58%|█████▊    | 137/235 [00:05<00:03, 27.03it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  59%|█████▊    | 138/235 [00:05<00:03, 27.04it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  59%|█████▊    | 138/235 [00:05<00:03, 27.04it/s, v_num=16, acc1/train=0.789, f1/train=0.789, precision/train=0.789, recall/train=0.789]
Epoch 0:  59%|█████▉    | 139/235 [00:05<00:03, 27.07it/s, v_num=16, acc1/train=0.789, f1/train=0.789, precision/train=0.789, recall/train=0.789]
Epoch 0:  59%|█████▉    | 139/235 [00:05<00:03, 27.07it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  60%|█████▉    | 140/235 [00:05<00:03, 27.09it/s, v_num=16, acc1/train=0.812, f1/train=0.812, precision/train=0.812, recall/train=0.812]
Epoch 0:  60%|█████▉    | 140/235 [00:05<00:03, 27.08it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  60%|██████    | 141/235 [00:05<00:03, 27.11it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  60%|██████    | 141/235 [00:05<00:03, 27.11it/s, v_num=16, acc1/train=0.781, f1/train=0.781, precision/train=0.781, recall/train=0.781]
Epoch 0:  60%|██████    | 142/235 [00:05<00:03, 27.13it/s, v_num=16, acc1/train=0.781, f1/train=0.781, precision/train=0.781, recall/train=0.781]
Epoch 0:  60%|██████    | 142/235 [00:05<00:03, 27.12it/s, v_num=16, acc1/train=0.832, f1/train=0.832, precision/train=0.832, recall/train=0.832]
Epoch 0:  61%|██████    | 143/235 [00:05<00:03, 27.16it/s, v_num=16, acc1/train=0.832, f1/train=0.832, precision/train=0.832, recall/train=0.832]
Epoch 0:  61%|██████    | 143/235 [00:05<00:03, 27.15it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  61%|██████▏   | 144/235 [00:05<00:03, 27.17it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  61%|██████▏   | 144/235 [00:05<00:03, 27.17it/s, v_num=16, acc1/train=0.855, f1/train=0.855, precision/train=0.855, recall/train=0.855]
Epoch 0:  62%|██████▏   | 145/235 [00:05<00:03, 27.20it/s, v_num=16, acc1/train=0.855, f1/train=0.855, precision/train=0.855, recall/train=0.855]
Epoch 0:  62%|██████▏   | 145/235 [00:05<00:03, 27.20it/s, v_num=16, acc1/train=0.836, f1/train=0.836, precision/train=0.836, recall/train=0.836]
Epoch 0:  62%|██████▏   | 146/235 [00:05<00:03, 27.21it/s, v_num=16, acc1/train=0.836, f1/train=0.836, precision/train=0.836, recall/train=0.836]
Epoch 0:  62%|██████▏   | 146/235 [00:05<00:03, 27.21it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  63%|██████▎   | 147/235 [00:05<00:03, 27.24it/s, v_num=16, acc1/train=0.805, f1/train=0.805, precision/train=0.805, recall/train=0.805]
Epoch 0:  63%|██████▎   | 147/235 [00:05<00:03, 27.23it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  63%|██████▎   | 148/235 [00:05<00:03, 27.25it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  63%|██████▎   | 148/235 [00:05<00:03, 27.25it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  63%|██████▎   | 149/235 [00:05<00:03, 27.28it/s, v_num=16, acc1/train=0.820, f1/train=0.820, precision/train=0.820, recall/train=0.820]
Epoch 0:  63%|██████▎   | 149/235 [00:05<00:03, 27.27it/s, v_num=16, acc1/train=0.848, f1/train=0.848, precision/train=0.848, recall/train=0.848]
Epoch 0:  64%|██████▍   | 150/235 [00:05<00:03, 27.29it/s, v_num=16, acc1/train=0.848, f1/train=0.848, precision/train=0.848, recall/train=0.848]
Epoch 0:  64%|██████▍   | 150/235 [00:05<00:03, 27.29it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  64%|██████▍   | 151/235 [00:05<00:03, 27.31it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  64%|██████▍   | 151/235 [00:05<00:03, 27.31it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  65%|██████▍   | 152/235 [00:05<00:03, 27.33it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  65%|██████▍   | 152/235 [00:05<00:03, 27.32it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  65%|██████▌   | 153/235 [00:05<00:02, 27.35it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  65%|██████▌   | 153/235 [00:05<00:02, 27.35it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  66%|██████▌   | 154/235 [00:05<00:02, 27.36it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  66%|██████▌   | 154/235 [00:05<00:02, 27.36it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  66%|██████▌   | 155/235 [00:05<00:02, 27.39it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  66%|██████▌   | 155/235 [00:05<00:02, 27.39it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  66%|██████▋   | 156/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  66%|██████▋   | 156/235 [00:05<00:02, 27.39it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  67%|██████▋   | 157/235 [00:05<00:02, 27.42it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  67%|██████▋   | 157/235 [00:05<00:02, 27.42it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  67%|██████▋   | 158/235 [00:05<00:02, 27.43it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  67%|██████▋   | 158/235 [00:05<00:02, 27.43it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  68%|██████▊   | 159/235 [00:05<00:02, 27.41it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  68%|██████▊   | 159/235 [00:05<00:02, 27.41it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  68%|██████▊   | 160/235 [00:05<00:02, 27.41it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  68%|██████▊   | 160/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.828, f1/train=0.828, precision/train=0.828, recall/train=0.828]
Epoch 0:  69%|██████▊   | 161/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.828, f1/train=0.828, precision/train=0.828, recall/train=0.828]
Epoch 0:  69%|██████▊   | 161/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.848, f1/train=0.848, precision/train=0.848, recall/train=0.848]
Epoch 0:  69%|██████▉   | 162/235 [00:05<00:02, 27.39it/s, v_num=16, acc1/train=0.848, f1/train=0.848, precision/train=0.848, recall/train=0.848]
Epoch 0:  69%|██████▉   | 162/235 [00:05<00:02, 27.39it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  69%|██████▉   | 163/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  69%|██████▉   | 163/235 [00:05<00:02, 27.40it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  70%|██████▉   | 164/235 [00:05<00:02, 27.43it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  70%|██████▉   | 164/235 [00:05<00:02, 27.42it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  70%|███████   | 165/235 [00:06<00:02, 27.45it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  70%|███████   | 165/235 [00:06<00:02, 27.44it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  71%|███████   | 166/235 [00:06<00:02, 27.46it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  71%|███████   | 166/235 [00:06<00:02, 27.46it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  71%|███████   | 167/235 [00:06<00:02, 27.48it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  71%|███████   | 167/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  71%|███████▏  | 168/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  71%|███████▏  | 168/235 [00:06<00:02, 27.46it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  72%|███████▏  | 169/235 [00:06<00:02, 27.49it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  72%|███████▏  | 169/235 [00:06<00:02, 27.49it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  72%|███████▏  | 170/235 [00:06<00:02, 27.50it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  72%|███████▏  | 170/235 [00:06<00:02, 27.50it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  73%|███████▎  | 171/235 [00:06<00:02, 27.48it/s, v_num=16, acc1/train=0.824, f1/train=0.824, precision/train=0.824, recall/train=0.824]
Epoch 0:  73%|███████▎  | 171/235 [00:06<00:02, 27.48it/s, v_num=16, acc1/train=0.836, f1/train=0.836, precision/train=0.836, recall/train=0.836]
Epoch 0:  73%|███████▎  | 172/235 [00:06<00:02, 27.48it/s, v_num=16, acc1/train=0.836, f1/train=0.836, precision/train=0.836, recall/train=0.836]
Epoch 0:  73%|███████▎  | 172/235 [00:06<00:02, 27.48it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  74%|███████▎  | 173/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  74%|███████▎  | 173/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  74%|███████▍  | 174/235 [00:06<00:02, 27.46it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  74%|███████▍  | 174/235 [00:06<00:02, 27.46it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  74%|███████▍  | 175/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.844, f1/train=0.844, precision/train=0.844, recall/train=0.844]
Epoch 0:  74%|███████▍  | 175/235 [00:06<00:02, 27.47it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  75%|███████▍  | 176/235 [00:06<00:02, 27.50it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  75%|███████▍  | 176/235 [00:06<00:02, 27.49it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  75%|███████▌  | 177/235 [00:06<00:02, 27.52it/s, v_num=16, acc1/train=0.840, f1/train=0.840, precision/train=0.840, recall/train=0.840]
Epoch 0:  75%|███████▌  | 177/235 [00:06<00:02, 27.52it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  76%|███████▌  | 178/235 [00:06<00:02, 27.53it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  76%|███████▌  | 178/235 [00:06<00:02, 27.53it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  76%|███████▌  | 179/235 [00:06<00:02, 27.55it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  76%|███████▌  | 179/235 [00:06<00:02, 27.55it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  77%|███████▋  | 180/235 [00:06<00:01, 27.56it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  77%|███████▋  | 180/235 [00:06<00:01, 27.56it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  77%|███████▋  | 181/235 [00:06<00:01, 27.57it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  77%|███████▋  | 181/235 [00:06<00:01, 27.56it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  77%|███████▋  | 182/235 [00:06<00:01, 27.57it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  77%|███████▋  | 182/235 [00:06<00:01, 27.57it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  78%|███████▊  | 183/235 [00:06<00:01, 27.59it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  78%|███████▊  | 183/235 [00:06<00:01, 27.59it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  78%|███████▊  | 184/235 [00:06<00:01, 27.60it/s, v_num=16, acc1/train=0.852, f1/train=0.852, precision/train=0.852, recall/train=0.852]
Epoch 0:  78%|███████▊  | 184/235 [00:06<00:01, 27.60it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 0:  79%|███████▊  | 185/235 [00:06<00:01, 27.62it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 0:  79%|███████▊  | 185/235 [00:06<00:01, 27.62it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  79%|███████▉  | 186/235 [00:06<00:01, 27.63it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  79%|███████▉  | 186/235 [00:06<00:01, 27.63it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  80%|███████▉  | 187/235 [00:06<00:01, 27.65it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  80%|███████▉  | 187/235 [00:06<00:01, 27.65it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  80%|████████  | 188/235 [00:06<00:01, 27.66it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  80%|████████  | 188/235 [00:06<00:01, 27.65it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  80%|████████  | 189/235 [00:06<00:01, 27.68it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  80%|████████  | 189/235 [00:06<00:01, 27.67it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  81%|████████  | 190/235 [00:06<00:01, 27.68it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  81%|████████  | 190/235 [00:06<00:01, 27.68it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  81%|████████▏ | 191/235 [00:06<00:01, 27.70it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  81%|████████▏ | 191/235 [00:06<00:01, 27.70it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  82%|████████▏ | 192/235 [00:06<00:01, 27.71it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  82%|████████▏ | 192/235 [00:06<00:01, 27.71it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  82%|████████▏ | 193/235 [00:06<00:01, 27.70it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  82%|████████▏ | 193/235 [00:06<00:01, 27.70it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  83%|████████▎ | 194/235 [00:07<00:01, 27.70it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  83%|████████▎ | 194/235 [00:07<00:01, 27.69it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 0:  83%|████████▎ | 195/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 0:  83%|████████▎ | 195/235 [00:07<00:01, 27.70it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  83%|████████▎ | 196/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  83%|████████▎ | 196/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  84%|████████▍ | 197/235 [00:07<00:01, 27.73it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 0:  84%|████████▍ | 197/235 [00:07<00:01, 27.73it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  84%|████████▍ | 198/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  84%|████████▍ | 198/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  85%|████████▍ | 199/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  85%|████████▍ | 199/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 0:  85%|████████▌ | 200/235 [00:07<00:01, 27.73it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 0:  85%|████████▌ | 200/235 [00:07<00:01, 27.73it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  86%|████████▌ | 201/235 [00:07<00:01, 27.74it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  86%|████████▌ | 201/235 [00:07<00:01, 27.73it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  86%|████████▌ | 202/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  86%|████████▌ | 202/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  86%|████████▋ | 203/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  86%|████████▋ | 203/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  87%|████████▋ | 204/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  87%|████████▋ | 204/235 [00:07<00:01, 27.71it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 0:  87%|████████▋ | 205/235 [00:07<00:01, 27.70it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 0:  87%|████████▋ | 205/235 [00:07<00:01, 27.70it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  88%|████████▊ | 206/235 [00:07<00:01, 27.69it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 0:  88%|████████▊ | 206/235 [00:07<00:01, 27.69it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  88%|████████▊ | 207/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  88%|████████▊ | 207/235 [00:07<00:01, 27.72it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 0:  89%|████████▊ | 208/235 [00:07<00:00, 27.72it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 0:  89%|████████▊ | 208/235 [00:07<00:00, 27.72it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  89%|████████▉ | 209/235 [00:07<00:00, 27.74it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  89%|████████▉ | 209/235 [00:07<00:00, 27.74it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  89%|████████▉ | 210/235 [00:07<00:00, 27.75it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  89%|████████▉ | 210/235 [00:07<00:00, 27.75it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  90%|████████▉ | 211/235 [00:07<00:00, 27.75it/s, v_num=16, acc1/train=0.863, f1/train=0.863, precision/train=0.863, recall/train=0.863]
Epoch 0:  90%|████████▉ | 211/235 [00:07<00:00, 27.75it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  90%|█████████ | 212/235 [00:07<00:00, 27.77it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  90%|█████████ | 212/235 [00:07<00:00, 27.77it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 0:  91%|█████████ | 213/235 [00:07<00:00, 27.78it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 0:  91%|█████████ | 213/235 [00:07<00:00, 27.77it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  91%|█████████ | 214/235 [00:07<00:00, 27.79it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 0:  91%|█████████ | 214/235 [00:07<00:00, 27.79it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  91%|█████████▏| 215/235 [00:07<00:00, 27.80it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  91%|█████████▏| 215/235 [00:07<00:00, 27.80it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  92%|█████████▏| 216/235 [00:07<00:00, 27.84it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  92%|█████████▏| 216/235 [00:07<00:00, 27.84it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  92%|█████████▏| 217/235 [00:07<00:00, 27.88it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  92%|█████████▏| 217/235 [00:07<00:00, 27.88it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  93%|█████████▎| 218/235 [00:07<00:00, 27.92it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 0:  93%|█████████▎| 218/235 [00:07<00:00, 27.92it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  93%|█████████▎| 219/235 [00:07<00:00, 27.96it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 0:  93%|█████████▎| 219/235 [00:07<00:00, 27.96it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 0:  94%|█████████▎| 220/235 [00:07<00:00, 28.00it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 0:  94%|█████████▎| 220/235 [00:07<00:00, 28.00it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  94%|█████████▍| 221/235 [00:07<00:00, 28.04it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 0:  94%|█████████▍| 221/235 [00:07<00:00, 28.04it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  94%|█████████▍| 222/235 [00:07<00:00, 28.08it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 0:  94%|█████████▍| 222/235 [00:07<00:00, 28.08it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  95%|█████████▍| 223/235 [00:07<00:00, 28.12it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  95%|█████████▍| 223/235 [00:07<00:00, 28.12it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  95%|█████████▌| 224/235 [00:07<00:00, 28.16it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  95%|█████████▌| 224/235 [00:07<00:00, 28.16it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  96%|█████████▌| 225/235 [00:07<00:00, 28.20it/s, v_num=16, acc1/train=0.859, f1/train=0.859, precision/train=0.859, recall/train=0.859]
Epoch 0:  96%|█████████▌| 225/235 [00:07<00:00, 28.19it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  96%|█████████▌| 226/235 [00:08<00:00, 28.24it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  96%|█████████▌| 226/235 [00:08<00:00, 28.23it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  97%|█████████▋| 227/235 [00:08<00:00, 28.27it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 0:  97%|█████████▋| 227/235 [00:08<00:00, 28.27it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  97%|█████████▋| 228/235 [00:08<00:00, 28.31it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0:  97%|█████████▋| 228/235 [00:08<00:00, 28.31it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 0:  97%|█████████▋| 229/235 [00:08<00:00, 28.35it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 0:  97%|█████████▋| 229/235 [00:08<00:00, 28.35it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  98%|█████████▊| 230/235 [00:08<00:00, 28.39it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 0:  98%|█████████▊| 230/235 [00:08<00:00, 28.38it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 0:  98%|█████████▊| 231/235 [00:08<00:00, 28.42it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 0:  98%|█████████▊| 231/235 [00:08<00:00, 28.42it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  99%|█████████▊| 232/235 [00:08<00:00, 28.46it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 0:  99%|█████████▊| 232/235 [00:08<00:00, 28.46it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  99%|█████████▉| 233/235 [00:08<00:00, 28.50it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 0:  99%|█████████▉| 233/235 [00:08<00:00, 28.50it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0: 100%|█████████▉| 234/235 [00:08<00:00, 28.53it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 0: 100%|█████████▉| 234/235 [00:08<00:00, 28.53it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 0: 100%|██████████| 235/235 [00:08<00:00, 28.56it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 0: 100%|██████████| 235/235 [00:08<00:00, 28.56it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]
Epoch 0: 100%|██████████| 235/235 [00:08<00:00, 28.56it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]
Epoch 0:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]
Epoch 1:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]
Epoch 1:   0%|          | 1/235 [00:00<02:51,  1.37it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]
Epoch 1:   0%|          | 1/235 [00:00<02:51,  1.37it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 1:   1%|          | 2/235 [00:00<01:28,  2.62it/s, v_num=16, acc1/train=0.883, f1/train=0.883, precision/train=0.883, recall/train=0.883]
Epoch 1:   1%|          | 2/235 [00:00<01:28,  2.62it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   1%|▏         | 3/235 [00:00<01:02,  3.69it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   1%|▏         | 3/235 [00:00<01:02,  3.69it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   2%|▏         | 4/235 [00:00<00:49,  4.71it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   2%|▏         | 4/235 [00:00<00:49,  4.71it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 1:   2%|▏         | 5/235 [00:00<00:40,  5.64it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 1:   2%|▏         | 5/235 [00:00<00:40,  5.64it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 1:   3%|▎         | 6/235 [00:00<00:35,  6.50it/s, v_num=16, acc1/train=0.879, f1/train=0.879, precision/train=0.879, recall/train=0.879]
Epoch 1:   3%|▎         | 6/235 [00:00<00:35,  6.49it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   3%|▎         | 7/235 [00:00<00:31,  7.27it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   3%|▎         | 7/235 [00:00<00:31,  7.27it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   3%|▎         | 8/235 [00:00<00:28,  8.01it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   3%|▎         | 8/235 [00:00<00:28,  8.00it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:   4%|▍         | 9/235 [00:01<00:26,  8.69it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:   4%|▍         | 9/235 [00:01<00:26,  8.68it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:   4%|▍         | 10/235 [00:01<00:24,  9.32it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:   4%|▍         | 10/235 [00:01<00:24,  9.31it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   5%|▍         | 11/235 [00:01<00:22,  9.91it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:   5%|▍         | 11/235 [00:01<00:22,  9.91it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:   5%|▌         | 12/235 [00:01<00:21, 10.46it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:   5%|▌         | 12/235 [00:01<00:21, 10.46it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:   6%|▌         | 13/235 [00:01<00:20, 10.94it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:   6%|▌         | 13/235 [00:01<00:20, 10.94it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   6%|▌         | 14/235 [00:01<00:19, 11.43it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   6%|▌         | 14/235 [00:01<00:19, 11.42it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   6%|▋         | 15/235 [00:01<00:18, 11.89it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   6%|▋         | 15/235 [00:01<00:18, 11.88it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:   7%|▋         | 16/235 [00:01<00:17, 12.30it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:   7%|▋         | 16/235 [00:01<00:17, 12.30it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   7%|▋         | 17/235 [00:01<00:17, 12.69it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:   7%|▋         | 17/235 [00:01<00:17, 12.69it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 1:   8%|▊         | 18/235 [00:01<00:16, 13.08it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 1:   8%|▊         | 18/235 [00:01<00:16, 13.08it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   8%|▊         | 19/235 [00:01<00:16, 13.45it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:   8%|▊         | 19/235 [00:01<00:16, 13.44it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 1:   9%|▊         | 20/235 [00:01<00:15, 13.79it/s, v_num=16, acc1/train=0.867, f1/train=0.867, precision/train=0.867, recall/train=0.867]
Epoch 1:   9%|▊         | 20/235 [00:01<00:15, 13.79it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:   9%|▉         | 21/235 [00:01<00:15, 14.12it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:   9%|▉         | 21/235 [00:01<00:15, 14.12it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 1:   9%|▉         | 22/235 [00:01<00:14, 14.42it/s, v_num=16, acc1/train=0.871, f1/train=0.871, precision/train=0.871, recall/train=0.871]
Epoch 1:   9%|▉         | 22/235 [00:01<00:14, 14.42it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  10%|▉         | 23/235 [00:01<00:14, 14.71it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  10%|▉         | 23/235 [00:01<00:14, 14.71it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  10%|█         | 24/235 [00:01<00:14, 14.99it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  10%|█         | 24/235 [00:01<00:14, 14.98it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  11%|█         | 25/235 [00:01<00:13, 15.25it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  11%|█         | 25/235 [00:01<00:13, 15.25it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  11%|█         | 26/235 [00:01<00:13, 15.50it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  11%|█         | 26/235 [00:01<00:13, 15.50it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 1:  11%|█▏        | 27/235 [00:01<00:13, 15.74it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 1:  11%|█▏        | 27/235 [00:01<00:13, 15.74it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  12%|█▏        | 28/235 [00:01<00:12, 15.97it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  12%|█▏        | 28/235 [00:01<00:12, 15.97it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  12%|█▏        | 29/235 [00:01<00:12, 16.19it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  12%|█▏        | 29/235 [00:01<00:12, 16.19it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  13%|█▎        | 30/235 [00:01<00:12, 16.40it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  13%|█▎        | 30/235 [00:01<00:12, 16.40it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  13%|█▎        | 31/235 [00:01<00:12, 16.61it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  13%|█▎        | 31/235 [00:01<00:12, 16.60it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  14%|█▎        | 32/235 [00:01<00:12, 16.80it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  14%|█▎        | 32/235 [00:01<00:12, 16.80it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  14%|█▍        | 33/235 [00:01<00:11, 16.99it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  14%|█▍        | 33/235 [00:01<00:11, 16.98it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  14%|█▍        | 34/235 [00:01<00:11, 17.17it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  14%|█▍        | 34/235 [00:01<00:11, 17.17it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  15%|█▍        | 35/235 [00:02<00:11, 17.34it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  15%|█▍        | 35/235 [00:02<00:11, 17.34it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  15%|█▌        | 36/235 [00:02<00:11, 17.51it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  15%|█▌        | 36/235 [00:02<00:11, 17.51it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  16%|█▌        | 37/235 [00:02<00:11, 17.67it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  16%|█▌        | 37/235 [00:02<00:11, 17.66it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  16%|█▌        | 38/235 [00:02<00:11, 17.82it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  16%|█▌        | 38/235 [00:02<00:11, 17.82it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 1:  17%|█▋        | 39/235 [00:02<00:10, 17.97it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 1:  17%|█▋        | 39/235 [00:02<00:10, 17.97it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  17%|█▋        | 40/235 [00:02<00:10, 18.12it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  17%|█▋        | 40/235 [00:02<00:10, 18.11it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  17%|█▋        | 41/235 [00:02<00:10, 18.26it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  17%|█▋        | 41/235 [00:02<00:10, 18.26it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  18%|█▊        | 42/235 [00:02<00:10, 18.40it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  18%|█▊        | 42/235 [00:02<00:10, 18.40it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  18%|█▊        | 43/235 [00:02<00:10, 18.57it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  18%|█▊        | 43/235 [00:02<00:10, 18.56it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  19%|█▊        | 44/235 [00:02<00:10, 18.74it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  19%|█▊        | 44/235 [00:02<00:10, 18.74it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  19%|█▉        | 45/235 [00:02<00:10, 18.92it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  19%|█▉        | 45/235 [00:02<00:10, 18.92it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  20%|█▉        | 46/235 [00:02<00:09, 19.08it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  20%|█▉        | 46/235 [00:02<00:09, 19.08it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  20%|██        | 47/235 [00:02<00:09, 19.22it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  20%|██        | 47/235 [00:02<00:09, 19.22it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  20%|██        | 48/235 [00:02<00:09, 19.38it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  20%|██        | 48/235 [00:02<00:09, 19.37it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  21%|██        | 49/235 [00:02<00:09, 19.49it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  21%|██        | 49/235 [00:02<00:09, 19.49it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  21%|██▏       | 50/235 [00:02<00:09, 19.64it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  21%|██▏       | 50/235 [00:02<00:09, 19.64it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  22%|██▏       | 51/235 [00:02<00:09, 19.76it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  22%|██▏       | 51/235 [00:02<00:09, 19.76it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  22%|██▏       | 52/235 [00:02<00:09, 19.90it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  22%|██▏       | 52/235 [00:02<00:09, 19.90it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  23%|██▎       | 53/235 [00:02<00:09, 19.99it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  23%|██▎       | 53/235 [00:02<00:09, 19.98it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  23%|██▎       | 54/235 [00:02<00:08, 20.13it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  23%|██▎       | 54/235 [00:02<00:08, 20.12it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  23%|██▎       | 55/235 [00:02<00:08, 20.16it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  23%|██▎       | 55/235 [00:02<00:08, 20.16it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  24%|██▍       | 56/235 [00:02<00:08, 20.24it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  24%|██▍       | 56/235 [00:02<00:08, 20.24it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  24%|██▍       | 57/235 [00:02<00:08, 20.32it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  24%|██▍       | 57/235 [00:02<00:08, 20.32it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  25%|██▍       | 58/235 [00:02<00:08, 20.40it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  25%|██▍       | 58/235 [00:02<00:08, 20.40it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  25%|██▌       | 59/235 [00:02<00:08, 20.48it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  25%|██▌       | 59/235 [00:02<00:08, 20.48it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  26%|██▌       | 60/235 [00:02<00:08, 20.55it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  26%|██▌       | 60/235 [00:02<00:08, 20.55it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  26%|██▌       | 61/235 [00:02<00:08, 20.63it/s, v_num=16, acc1/train=0.891, f1/train=0.891, precision/train=0.891, recall/train=0.891]
Epoch 1:  26%|██▌       | 61/235 [00:02<00:08, 20.63it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  26%|██▋       | 62/235 [00:02<00:08, 20.70it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  26%|██▋       | 62/235 [00:02<00:08, 20.70it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  27%|██▋       | 63/235 [00:03<00:08, 20.77it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  27%|██▋       | 63/235 [00:03<00:08, 20.77it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 1:  27%|██▋       | 64/235 [00:03<00:08, 20.84it/s, v_num=16, acc1/train=0.875, f1/train=0.875, precision/train=0.875, recall/train=0.875]
Epoch 1:  27%|██▋       | 64/235 [00:03<00:08, 20.84it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  28%|██▊       | 65/235 [00:03<00:08, 20.91it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  28%|██▊       | 65/235 [00:03<00:08, 20.90it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  28%|██▊       | 66/235 [00:03<00:08, 20.97it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  28%|██▊       | 66/235 [00:03<00:08, 20.97it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  29%|██▊       | 67/235 [00:03<00:07, 21.03it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  29%|██▊       | 67/235 [00:03<00:07, 21.03it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  29%|██▉       | 68/235 [00:03<00:07, 21.10it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  29%|██▉       | 68/235 [00:03<00:07, 21.09it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  29%|██▉       | 69/235 [00:03<00:07, 21.16it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  29%|██▉       | 69/235 [00:03<00:07, 21.15it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  30%|██▉       | 70/235 [00:03<00:07, 21.22it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  30%|██▉       | 70/235 [00:03<00:07, 21.22it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  30%|███       | 71/235 [00:03<00:07, 21.28it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  30%|███       | 71/235 [00:03<00:07, 21.28it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  31%|███       | 72/235 [00:03<00:07, 21.33it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  31%|███       | 72/235 [00:03<00:07, 21.33it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  31%|███       | 73/235 [00:03<00:07, 21.39it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  31%|███       | 73/235 [00:03<00:07, 21.39it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  31%|███▏      | 74/235 [00:03<00:07, 21.45it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  31%|███▏      | 74/235 [00:03<00:07, 21.44it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  32%|███▏      | 75/235 [00:03<00:07, 21.50it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  32%|███▏      | 75/235 [00:03<00:07, 21.50it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  32%|███▏      | 76/235 [00:03<00:07, 21.55it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  32%|███▏      | 76/235 [00:03<00:07, 21.55it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  33%|███▎      | 77/235 [00:03<00:07, 21.60it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  33%|███▎      | 77/235 [00:03<00:07, 21.60it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  33%|███▎      | 78/235 [00:03<00:07, 21.65it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  33%|███▎      | 78/235 [00:03<00:07, 21.65it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  34%|███▎      | 79/235 [00:03<00:07, 21.70it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  34%|███▎      | 79/235 [00:03<00:07, 21.70it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  34%|███▍      | 80/235 [00:03<00:07, 21.75it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  34%|███▍      | 80/235 [00:03<00:07, 21.74it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  34%|███▍      | 81/235 [00:03<00:07, 21.79it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  34%|███▍      | 81/235 [00:03<00:07, 21.79it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  35%|███▍      | 82/235 [00:03<00:07, 21.84it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  35%|███▍      | 82/235 [00:03<00:07, 21.84it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  35%|███▌      | 83/235 [00:03<00:06, 21.88it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  35%|███▌      | 83/235 [00:03<00:06, 21.88it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 1:  36%|███▌      | 84/235 [00:03<00:06, 21.93it/s, v_num=16, acc1/train=0.887, f1/train=0.887, precision/train=0.887, recall/train=0.887]
Epoch 1:  36%|███▌      | 84/235 [00:03<00:06, 21.92it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  36%|███▌      | 85/235 [00:03<00:06, 21.97it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  36%|███▌      | 85/235 [00:03<00:06, 21.97it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  37%|███▋      | 86/235 [00:03<00:06, 22.01it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  37%|███▋      | 86/235 [00:03<00:06, 22.01it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  37%|███▋      | 87/235 [00:03<00:06, 22.05it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  37%|███▋      | 87/235 [00:03<00:06, 22.05it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  37%|███▋      | 88/235 [00:03<00:06, 22.09it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  37%|███▋      | 88/235 [00:03<00:06, 22.09it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  38%|███▊      | 89/235 [00:04<00:06, 22.13it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  38%|███▊      | 89/235 [00:04<00:06, 22.13it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  38%|███▊      | 90/235 [00:04<00:06, 22.17it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  38%|███▊      | 90/235 [00:04<00:06, 22.17it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  39%|███▊      | 91/235 [00:04<00:06, 22.21it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  39%|███▊      | 91/235 [00:04<00:06, 22.21it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  39%|███▉      | 92/235 [00:04<00:06, 22.25it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  39%|███▉      | 92/235 [00:04<00:06, 22.24it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  40%|███▉      | 93/235 [00:04<00:06, 22.28it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  40%|███▉      | 93/235 [00:04<00:06, 22.28it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  40%|████      | 94/235 [00:04<00:06, 22.32it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  40%|████      | 94/235 [00:04<00:06, 22.31it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  40%|████      | 95/235 [00:04<00:06, 22.35it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  40%|████      | 95/235 [00:04<00:06, 22.35it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  41%|████      | 96/235 [00:04<00:06, 22.39it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  41%|████      | 96/235 [00:04<00:06, 22.38it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  41%|████▏     | 97/235 [00:04<00:06, 22.42it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  41%|████▏     | 97/235 [00:04<00:06, 22.42it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  42%|████▏     | 98/235 [00:04<00:06, 22.46it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  42%|████▏     | 98/235 [00:04<00:06, 22.45it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  42%|████▏     | 99/235 [00:04<00:06, 22.49it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  42%|████▏     | 99/235 [00:04<00:06, 22.49it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  43%|████▎     | 100/235 [00:04<00:05, 22.52it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  43%|████▎     | 100/235 [00:04<00:05, 22.52it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  43%|████▎     | 101/235 [00:04<00:05, 22.57it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  43%|████▎     | 101/235 [00:04<00:05, 22.57it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  43%|████▎     | 102/235 [00:04<00:05, 22.64it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  43%|████▎     | 102/235 [00:04<00:05, 22.63it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  44%|████▍     | 103/235 [00:04<00:05, 22.69it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  44%|████▍     | 103/235 [00:04<00:05, 22.68it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  44%|████▍     | 104/235 [00:04<00:05, 22.75it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  44%|████▍     | 104/235 [00:04<00:05, 22.75it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  45%|████▍     | 105/235 [00:04<00:05, 22.80it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  45%|████▍     | 105/235 [00:04<00:05, 22.79it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  45%|████▌     | 106/235 [00:04<00:05, 22.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  45%|████▌     | 106/235 [00:04<00:05, 22.85it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  46%|████▌     | 107/235 [00:04<00:05, 22.90it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  46%|████▌     | 107/235 [00:04<00:05, 22.89it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  46%|████▌     | 108/235 [00:04<00:05, 22.91it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  46%|████▌     | 108/235 [00:04<00:05, 22.91it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  46%|████▋     | 109/235 [00:04<00:05, 22.94it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  46%|████▋     | 109/235 [00:04<00:05, 22.94it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  47%|████▋     | 110/235 [00:04<00:05, 22.97it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  47%|████▋     | 110/235 [00:04<00:05, 22.96it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  47%|████▋     | 111/235 [00:04<00:05, 22.99it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  47%|████▋     | 111/235 [00:04<00:05, 22.99it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  48%|████▊     | 112/235 [00:04<00:05, 23.02it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  48%|████▊     | 112/235 [00:04<00:05, 23.02it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  48%|████▊     | 113/235 [00:04<00:05, 23.05it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  48%|████▊     | 113/235 [00:04<00:05, 23.04it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  49%|████▊     | 114/235 [00:04<00:05, 23.07it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  49%|████▊     | 114/235 [00:04<00:05, 23.07it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  49%|████▉     | 115/235 [00:04<00:05, 23.09it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  49%|████▉     | 115/235 [00:04<00:05, 23.09it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  49%|████▉     | 116/235 [00:05<00:05, 23.12it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  49%|████▉     | 116/235 [00:05<00:05, 23.11it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  50%|████▉     | 117/235 [00:05<00:05, 23.14it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  50%|████▉     | 117/235 [00:05<00:05, 23.14it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  50%|█████     | 118/235 [00:05<00:05, 23.16it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  50%|█████     | 118/235 [00:05<00:05, 23.16it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  51%|█████     | 119/235 [00:05<00:05, 23.19it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  51%|█████     | 119/235 [00:05<00:05, 23.18it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  51%|█████     | 120/235 [00:05<00:04, 23.21it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  51%|█████     | 120/235 [00:05<00:04, 23.21it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  51%|█████▏    | 121/235 [00:05<00:04, 23.23it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  51%|█████▏    | 121/235 [00:05<00:04, 23.23it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  52%|█████▏    | 122/235 [00:05<00:04, 23.26it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  52%|█████▏    | 122/235 [00:05<00:04, 23.25it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  52%|█████▏    | 123/235 [00:05<00:04, 23.30it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  52%|█████▏    | 123/235 [00:05<00:04, 23.29it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  53%|█████▎    | 124/235 [00:05<00:04, 23.34it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  53%|█████▎    | 124/235 [00:05<00:04, 23.34it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  53%|█████▎    | 125/235 [00:05<00:04, 23.37it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  53%|█████▎    | 125/235 [00:05<00:04, 23.37it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  54%|█████▎    | 126/235 [00:05<00:04, 23.42it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  54%|█████▎    | 126/235 [00:05<00:04, 23.41it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  54%|█████▍    | 127/235 [00:05<00:04, 23.42it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  54%|█████▍    | 127/235 [00:05<00:04, 23.42it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  54%|█████▍    | 128/235 [00:05<00:04, 23.44it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  54%|█████▍    | 128/235 [00:05<00:04, 23.44it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  55%|█████▍    | 129/235 [00:05<00:04, 23.47it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  55%|█████▍    | 129/235 [00:05<00:04, 23.46it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  55%|█████▌    | 130/235 [00:05<00:04, 23.49it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  55%|█████▌    | 130/235 [00:05<00:04, 23.48it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  56%|█████▌    | 131/235 [00:05<00:04, 23.51it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  56%|█████▌    | 131/235 [00:05<00:04, 23.50it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  56%|█████▌    | 132/235 [00:05<00:04, 23.52it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  56%|█████▌    | 132/235 [00:05<00:04, 23.52it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  57%|█████▋    | 133/235 [00:05<00:04, 23.54it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  57%|█████▋    | 133/235 [00:05<00:04, 23.54it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:  57%|█████▋    | 134/235 [00:05<00:04, 23.56it/s, v_num=16, acc1/train=0.895, f1/train=0.895, precision/train=0.895, recall/train=0.895]
Epoch 1:  57%|█████▋    | 134/235 [00:05<00:04, 23.56it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  57%|█████▋    | 135/235 [00:05<00:04, 23.60it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  57%|█████▋    | 135/235 [00:05<00:04, 23.60it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  58%|█████▊    | 136/235 [00:05<00:04, 23.64it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  58%|█████▊    | 136/235 [00:05<00:04, 23.64it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  58%|█████▊    | 137/235 [00:05<00:04, 23.68it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  58%|█████▊    | 137/235 [00:05<00:04, 23.67it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  59%|█████▊    | 138/235 [00:05<00:04, 23.72it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  59%|█████▊    | 138/235 [00:05<00:04, 23.72it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  59%|█████▉    | 139/235 [00:05<00:04, 23.74it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  59%|█████▉    | 139/235 [00:05<00:04, 23.74it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  60%|█████▉    | 140/235 [00:05<00:03, 23.77it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  60%|█████▉    | 140/235 [00:05<00:03, 23.77it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  60%|██████    | 141/235 [00:05<00:03, 23.81it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  60%|██████    | 141/235 [00:05<00:03, 23.81it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  60%|██████    | 142/235 [00:05<00:03, 23.82it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  60%|██████    | 142/235 [00:05<00:03, 23.82it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  61%|██████    | 143/235 [00:05<00:03, 23.86it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  61%|██████    | 143/235 [00:05<00:03, 23.86it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  61%|██████▏   | 144/235 [00:06<00:03, 23.90it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  61%|██████▏   | 144/235 [00:06<00:03, 23.90it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  62%|██████▏   | 145/235 [00:06<00:03, 23.93it/s, v_num=16, acc1/train=0.914, f1/train=0.914, precision/train=0.914, recall/train=0.914]
Epoch 1:  62%|██████▏   | 145/235 [00:06<00:03, 23.93it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  62%|██████▏   | 146/235 [00:06<00:03, 23.96it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  62%|██████▏   | 146/235 [00:06<00:03, 23.95it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  63%|██████▎   | 147/235 [00:06<00:03, 23.99it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  63%|██████▎   | 147/235 [00:06<00:03, 23.98it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  63%|██████▎   | 148/235 [00:06<00:03, 24.02it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  63%|██████▎   | 148/235 [00:06<00:03, 24.02it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  63%|██████▎   | 149/235 [00:06<00:03, 24.05it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  63%|██████▎   | 149/235 [00:06<00:03, 24.05it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  64%|██████▍   | 150/235 [00:06<00:03, 24.09it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  64%|██████▍   | 150/235 [00:06<00:03, 24.09it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  64%|██████▍   | 151/235 [00:06<00:03, 24.12it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  64%|██████▍   | 151/235 [00:06<00:03, 24.11it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  65%|██████▍   | 152/235 [00:06<00:03, 24.15it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  65%|██████▍   | 152/235 [00:06<00:03, 24.15it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  65%|██████▌   | 153/235 [00:06<00:03, 24.17it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  65%|██████▌   | 153/235 [00:06<00:03, 24.17it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  66%|██████▌   | 154/235 [00:06<00:03, 24.21it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  66%|██████▌   | 154/235 [00:06<00:03, 24.21it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  66%|██████▌   | 155/235 [00:06<00:03, 24.23it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  66%|██████▌   | 155/235 [00:06<00:03, 24.23it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  66%|██████▋   | 156/235 [00:06<00:03, 24.23it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  66%|██████▋   | 156/235 [00:06<00:03, 24.23it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  67%|██████▋   | 157/235 [00:06<00:03, 24.24it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  67%|██████▋   | 157/235 [00:06<00:03, 24.24it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  67%|██████▋   | 158/235 [00:06<00:03, 24.25it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  67%|██████▋   | 158/235 [00:06<00:03, 24.25it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  68%|██████▊   | 159/235 [00:06<00:03, 24.26it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910]
Epoch 1:  68%|██████▊   | 159/235 [00:06<00:03, 24.26it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  68%|██████▊   | 160/235 [00:06<00:03, 24.28it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  68%|██████▊   | 160/235 [00:06<00:03, 24.28it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  69%|██████▊   | 161/235 [00:06<00:03, 24.32it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  69%|██████▊   | 161/235 [00:06<00:03, 24.32it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  69%|██████▉   | 162/235 [00:06<00:02, 24.35it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  69%|██████▉   | 162/235 [00:06<00:02, 24.34it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  69%|██████▉   | 163/235 [00:06<00:02, 24.38it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  69%|██████▉   | 163/235 [00:06<00:02, 24.38it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  70%|██████▉   | 164/235 [00:06<00:02, 24.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  70%|██████▉   | 164/235 [00:06<00:02, 24.40it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  70%|███████   | 165/235 [00:06<00:02, 24.43it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  70%|███████   | 165/235 [00:06<00:02, 24.43it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  71%|███████   | 166/235 [00:06<00:02, 24.45it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  71%|███████   | 166/235 [00:06<00:02, 24.45it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  71%|███████   | 167/235 [00:06<00:02, 24.49it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  71%|███████   | 167/235 [00:06<00:02, 24.49it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  71%|███████▏  | 168/235 [00:06<00:02, 24.51it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  71%|███████▏  | 168/235 [00:06<00:02, 24.51it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  72%|███████▏  | 169/235 [00:06<00:02, 24.54it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  72%|███████▏  | 169/235 [00:06<00:02, 24.54it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  72%|███████▏  | 170/235 [00:06<00:02, 24.57it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  72%|███████▏  | 170/235 [00:06<00:02, 24.57it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  73%|███████▎  | 171/235 [00:06<00:02, 24.57it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  73%|███████▎  | 171/235 [00:06<00:02, 24.57it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  73%|███████▎  | 172/235 [00:06<00:02, 24.58it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  73%|███████▎  | 172/235 [00:06<00:02, 24.58it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  74%|███████▎  | 173/235 [00:07<00:02, 24.59it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  74%|███████▎  | 173/235 [00:07<00:02, 24.59it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  74%|███████▍  | 174/235 [00:07<00:02, 24.60it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918]
Epoch 1:  74%|███████▍  | 174/235 [00:07<00:02, 24.60it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  74%|███████▍  | 175/235 [00:07<00:02, 24.61it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  74%|███████▍  | 175/235 [00:07<00:02, 24.61it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  75%|███████▍  | 176/235 [00:07<00:02, 24.62it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  75%|███████▍  | 176/235 [00:07<00:02, 24.62it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  75%|███████▌  | 177/235 [00:07<00:02, 24.63it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  75%|███████▌  | 177/235 [00:07<00:02, 24.62it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  76%|███████▌  | 178/235 [00:07<00:02, 24.64it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  76%|███████▌  | 178/235 [00:07<00:02, 24.63it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  76%|███████▌  | 179/235 [00:07<00:02, 24.64it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  76%|███████▌  | 179/235 [00:07<00:02, 24.64it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  77%|███████▋  | 180/235 [00:07<00:02, 24.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  77%|███████▋  | 180/235 [00:07<00:02, 24.65it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  77%|███████▋  | 181/235 [00:07<00:02, 24.66it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  77%|███████▋  | 181/235 [00:07<00:02, 24.66it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  77%|███████▋  | 182/235 [00:07<00:02, 24.67it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  77%|███████▋  | 182/235 [00:07<00:02, 24.67it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  78%|███████▊  | 183/235 [00:07<00:02, 24.68it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  78%|███████▊  | 183/235 [00:07<00:02, 24.68it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  78%|███████▊  | 184/235 [00:07<00:02, 24.69it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  78%|███████▊  | 184/235 [00:07<00:02, 24.69it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  79%|███████▊  | 185/235 [00:07<00:02, 24.70it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  79%|███████▊  | 185/235 [00:07<00:02, 24.70it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  79%|███████▉  | 186/235 [00:07<00:01, 24.71it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  79%|███████▉  | 186/235 [00:07<00:01, 24.70it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  80%|███████▉  | 187/235 [00:07<00:01, 24.71it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  80%|███████▉  | 187/235 [00:07<00:01, 24.71it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  80%|████████  | 188/235 [00:07<00:01, 24.72it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969]
Epoch 1:  80%|████████  | 188/235 [00:07<00:01, 24.72it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  80%|████████  | 189/235 [00:07<00:01, 24.73it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  80%|████████  | 189/235 [00:07<00:01, 24.73it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  81%|████████  | 190/235 [00:07<00:01, 24.74it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  81%|████████  | 190/235 [00:07<00:01, 24.73it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  81%|████████▏ | 191/235 [00:07<00:01, 24.74it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965]
Epoch 1:  81%|████████▏ | 191/235 [00:07<00:01, 24.74it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  82%|████████▏ | 192/235 [00:07<00:01, 24.75it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  82%|████████▏ | 192/235 [00:07<00:01, 24.75it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  82%|████████▏ | 193/235 [00:07<00:01, 24.76it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  82%|████████▏ | 193/235 [00:07<00:01, 24.76it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  83%|████████▎ | 194/235 [00:07<00:01, 24.77it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  83%|████████▎ | 194/235 [00:07<00:01, 24.77it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  83%|████████▎ | 195/235 [00:07<00:01, 24.78it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  83%|████████▎ | 195/235 [00:07<00:01, 24.77it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  83%|████████▎ | 196/235 [00:07<00:01, 24.78it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  83%|████████▎ | 196/235 [00:07<00:01, 24.78it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  84%|████████▍ | 197/235 [00:07<00:01, 24.79it/s, v_num=16, acc1/train=0.898, f1/train=0.898, precision/train=0.898, recall/train=0.898]
Epoch 1:  84%|████████▍ | 197/235 [00:07<00:01, 24.79it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  84%|████████▍ | 198/235 [00:07<00:01, 24.80it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  84%|████████▍ | 198/235 [00:07<00:01, 24.80it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  85%|████████▍ | 199/235 [00:08<00:01, 24.80it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  85%|████████▍ | 199/235 [00:08<00:01, 24.80it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  85%|████████▌ | 200/235 [00:08<00:01, 24.81it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  85%|████████▌ | 200/235 [00:08<00:01, 24.81it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  86%|████████▌ | 201/235 [00:08<00:01, 24.82it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  86%|████████▌ | 201/235 [00:08<00:01, 24.82it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  86%|████████▌ | 202/235 [00:08<00:01, 24.82it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  86%|████████▌ | 202/235 [00:08<00:01, 24.82it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  86%|████████▋ | 203/235 [00:08<00:01, 24.83it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  86%|████████▋ | 203/235 [00:08<00:01, 24.83it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  87%|████████▋ | 204/235 [00:08<00:01, 24.84it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  87%|████████▋ | 204/235 [00:08<00:01, 24.84it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  87%|████████▋ | 205/235 [00:08<00:01, 24.85it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  87%|████████▋ | 205/235 [00:08<00:01, 24.84it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  88%|████████▊ | 206/235 [00:08<00:01, 24.85it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  88%|████████▊ | 206/235 [00:08<00:01, 24.85it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  88%|████████▊ | 207/235 [00:08<00:01, 24.86it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  88%|████████▊ | 207/235 [00:08<00:01, 24.86it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  89%|████████▊ | 208/235 [00:08<00:01, 24.89it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  89%|████████▊ | 208/235 [00:08<00:01, 24.89it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  89%|████████▉ | 209/235 [00:08<00:01, 24.91it/s, v_num=16, acc1/train=0.902, f1/train=0.902, precision/train=0.902, recall/train=0.902]
Epoch 1:  89%|████████▉ | 209/235 [00:08<00:01, 24.90it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  89%|████████▉ | 210/235 [00:08<00:01, 24.91it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  89%|████████▉ | 210/235 [00:08<00:01, 24.91it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  90%|████████▉ | 211/235 [00:08<00:00, 24.92it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  90%|████████▉ | 211/235 [00:08<00:00, 24.92it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  90%|█████████ | 212/235 [00:08<00:00, 24.92it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922]
Epoch 1:  90%|█████████ | 212/235 [00:08<00:00, 24.92it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  91%|█████████ | 213/235 [00:08<00:00, 24.93it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  91%|█████████ | 213/235 [00:08<00:00, 24.93it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  91%|█████████ | 214/235 [00:08<00:00, 24.94it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  91%|█████████ | 214/235 [00:08<00:00, 24.94it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  91%|█████████▏| 215/235 [00:08<00:00, 24.93it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  91%|█████████▏| 215/235 [00:08<00:00, 24.93it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  92%|█████████▏| 216/235 [00:08<00:00, 24.98it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  92%|█████████▏| 216/235 [00:08<00:00, 24.98it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  92%|█████████▏| 217/235 [00:08<00:00, 25.02it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  92%|█████████▏| 217/235 [00:08<00:00, 25.02it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  93%|█████████▎| 218/235 [00:08<00:00, 25.07it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  93%|█████████▎| 218/235 [00:08<00:00, 25.07it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  93%|█████████▎| 219/235 [00:08<00:00, 25.11it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  93%|█████████▎| 219/235 [00:08<00:00, 25.11it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  94%|█████████▎| 220/235 [00:08<00:00, 25.16it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930]
Epoch 1:  94%|█████████▎| 220/235 [00:08<00:00, 25.15it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  94%|█████████▍| 221/235 [00:08<00:00, 25.20it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  94%|█████████▍| 221/235 [00:08<00:00, 25.20it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  94%|█████████▍| 222/235 [00:08<00:00, 25.24it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961]
Epoch 1:  94%|█████████▍| 222/235 [00:08<00:00, 25.24it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  95%|█████████▍| 223/235 [00:08<00:00, 25.29it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926]
Epoch 1:  95%|█████████▍| 223/235 [00:08<00:00, 25.28it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  95%|█████████▌| 224/235 [00:08<00:00, 25.33it/s, v_num=16, acc1/train=0.906, f1/train=0.906, precision/train=0.906, recall/train=0.906]
Epoch 1:  95%|█████████▌| 224/235 [00:08<00:00, 25.33it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  96%|█████████▌| 225/235 [00:08<00:00, 25.37it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  96%|█████████▌| 225/235 [00:08<00:00, 25.37it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  96%|█████████▌| 226/235 [00:08<00:00, 25.42it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957]
Epoch 1:  96%|█████████▌| 226/235 [00:08<00:00, 25.41it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  97%|█████████▋| 227/235 [00:08<00:00, 25.46it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953]
Epoch 1:  97%|█████████▋| 227/235 [00:08<00:00, 25.46it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  97%|█████████▋| 228/235 [00:08<00:00, 25.50it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1:  97%|█████████▋| 228/235 [00:08<00:00, 25.50it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  97%|█████████▋| 229/235 [00:08<00:00, 25.54it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  97%|█████████▋| 229/235 [00:08<00:00, 25.54it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  98%|█████████▊| 230/235 [00:08<00:00, 25.58it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941]
Epoch 1:  98%|█████████▊| 230/235 [00:08<00:00, 25.58it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  98%|█████████▊| 231/235 [00:09<00:00, 25.63it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938]
Epoch 1:  98%|█████████▊| 231/235 [00:09<00:00, 25.62it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  99%|█████████▊| 232/235 [00:09<00:00, 25.67it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934]
Epoch 1:  99%|█████████▊| 232/235 [00:09<00:00, 25.67it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  99%|█████████▉| 233/235 [00:09<00:00, 25.71it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1:  99%|█████████▉| 233/235 [00:09<00:00, 25.71it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1: 100%|█████████▉| 234/235 [00:09<00:00, 25.75it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945]
Epoch 1: 100%|█████████▉| 234/235 [00:09<00:00, 25.75it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1: 100%|██████████| 235/235 [00:09<00:00, 25.79it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949]
Epoch 1: 100%|██████████| 235/235 [00:09<00:00, 25.78it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927]

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Epoch 1: 100%|██████████| 235/235 [00:10<00:00, 22.74it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 1: 100%|██████████| 235/235 [00:10<00:00, 22.73it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 1:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   0%|          | 1/235 [00:00<02:47,  1.39it/s, v_num=16, acc1/train=0.927, f1/train=0.927, precision/train=0.927, recall/train=0.927, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   0%|          | 1/235 [00:00<02:48,  1.39it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   1%|          | 2/235 [00:00<01:27,  2.66it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   1%|          | 2/235 [00:00<01:27,  2.66it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   1%|▏         | 3/235 [00:00<01:01,  3.78it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   1%|▏         | 3/235 [00:00<01:01,  3.78it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   2%|▏         | 4/235 [00:00<00:47,  4.85it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   2%|▏         | 4/235 [00:00<00:47,  4.84it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   2%|▏         | 5/235 [00:00<00:39,  5.85it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   2%|▏         | 5/235 [00:00<00:39,  5.84it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 6/235 [00:00<00:33,  6.76it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 6/235 [00:00<00:33,  6.75it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 7/235 [00:00<00:29,  7.62it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 7/235 [00:00<00:29,  7.61it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 8/235 [00:00<00:27,  8.38it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   3%|▎         | 8/235 [00:00<00:27,  8.37it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   4%|▍         | 9/235 [00:00<00:24,  9.13it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   4%|▍         | 9/235 [00:00<00:24,  9.13it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   4%|▍         | 10/235 [00:01<00:22,  9.86it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   4%|▍         | 10/235 [00:01<00:22,  9.85it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   5%|▍         | 11/235 [00:01<00:21, 10.39it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   5%|▍         | 11/235 [00:01<00:21, 10.39it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   5%|▌         | 12/235 [00:01<00:20, 10.96it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   5%|▌         | 12/235 [00:01<00:20, 10.95it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▌         | 13/235 [00:01<00:19, 11.49it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▌         | 13/235 [00:01<00:19, 11.48it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▌         | 14/235 [00:01<00:18, 11.98it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▌         | 14/235 [00:01<00:18, 11.98it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▋         | 15/235 [00:01<00:17, 12.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   6%|▋         | 15/235 [00:01<00:17, 12.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   7%|▋         | 16/235 [00:01<00:17, 12.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   7%|▋         | 16/235 [00:01<00:17, 12.85it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   7%|▋         | 17/235 [00:01<00:16, 13.27it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   7%|▋         | 17/235 [00:01<00:16, 13.26it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   8%|▊         | 18/235 [00:01<00:15, 13.65it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   8%|▊         | 18/235 [00:01<00:15, 13.65it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   8%|▊         | 19/235 [00:01<00:15, 14.01it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   8%|▊         | 19/235 [00:01<00:15, 14.01it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▊         | 20/235 [00:01<00:14, 14.36it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▊         | 20/235 [00:01<00:14, 14.36it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▉         | 21/235 [00:01<00:14, 14.67it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▉         | 21/235 [00:01<00:14, 14.67it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▉         | 22/235 [00:01<00:14, 14.98it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   9%|▉         | 22/235 [00:01<00:14, 14.97it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  10%|▉         | 23/235 [00:01<00:13, 15.27it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  10%|▉         | 23/235 [00:01<00:13, 15.26it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  10%|█         | 24/235 [00:01<00:13, 15.53it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  10%|█         | 24/235 [00:01<00:13, 15.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█         | 25/235 [00:01<00:13, 15.79it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█         | 25/235 [00:01<00:13, 15.78it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█         | 26/235 [00:01<00:13, 16.04it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█         | 26/235 [00:01<00:13, 16.03it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█▏        | 27/235 [00:01<00:12, 16.28it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  11%|█▏        | 27/235 [00:01<00:12, 16.27it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  12%|█▏        | 28/235 [00:01<00:12, 16.50it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  12%|█▏        | 28/235 [00:01<00:12, 16.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  12%|█▏        | 29/235 [00:01<00:12, 16.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  12%|█▏        | 29/235 [00:01<00:12, 16.70it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  13%|█▎        | 30/235 [00:01<00:12, 16.92it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  13%|█▎        | 30/235 [00:01<00:12, 16.91it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  13%|█▎        | 31/235 [00:01<00:11, 17.17it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  13%|█▎        | 31/235 [00:01<00:11, 17.17it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▎        | 32/235 [00:01<00:11, 17.39it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▎        | 32/235 [00:01<00:11, 17.39it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▍        | 33/235 [00:01<00:11, 17.57it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▍        | 33/235 [00:01<00:11, 17.56it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▍        | 34/235 [00:01<00:11, 17.74it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  14%|█▍        | 34/235 [00:01<00:11, 17.74it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  15%|█▍        | 35/235 [00:01<00:11, 17.91it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  15%|█▍        | 35/235 [00:01<00:11, 17.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  15%|█▌        | 36/235 [00:01<00:11, 18.07it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  15%|█▌        | 36/235 [00:01<00:11, 18.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  16%|█▌        | 37/235 [00:02<00:10, 18.22it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  16%|█▌        | 37/235 [00:02<00:10, 18.21it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  16%|█▌        | 38/235 [00:02<00:10, 18.37it/s, v_num=16, acc1/train=0.918, f1/train=0.918, precision/train=0.918, recall/train=0.918, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  16%|█▌        | 38/235 [00:02<00:10, 18.37it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 39/235 [00:02<00:10, 18.52it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 39/235 [00:02<00:10, 18.51it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 40/235 [00:02<00:10, 18.66it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 40/235 [00:02<00:10, 18.65it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 41/235 [00:02<00:10, 18.79it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  17%|█▋        | 41/235 [00:02<00:10, 18.79it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  18%|█▊        | 42/235 [00:02<00:10, 18.92it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  18%|█▊        | 42/235 [00:02<00:10, 18.92it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  18%|█▊        | 43/235 [00:02<00:10, 19.05it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  18%|█▊        | 43/235 [00:02<00:10, 19.05it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  19%|█▊        | 44/235 [00:02<00:09, 19.24it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  19%|█▊        | 44/235 [00:02<00:09, 19.23it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  19%|█▉        | 45/235 [00:02<00:09, 19.38it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  19%|█▉        | 45/235 [00:02<00:09, 19.38it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|█▉        | 46/235 [00:02<00:09, 19.49it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|█▉        | 46/235 [00:02<00:09, 19.49it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|██        | 47/235 [00:02<00:09, 19.60it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|██        | 47/235 [00:02<00:09, 19.60it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|██        | 48/235 [00:02<00:09, 19.71it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  20%|██        | 48/235 [00:02<00:09, 19.70it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  21%|██        | 49/235 [00:02<00:09, 19.81it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  21%|██        | 49/235 [00:02<00:09, 19.81it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  21%|██▏       | 50/235 [00:02<00:09, 19.91it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  21%|██▏       | 50/235 [00:02<00:09, 19.91it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  22%|██▏       | 51/235 [00:02<00:09, 20.01it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  22%|██▏       | 51/235 [00:02<00:09, 20.00it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  22%|██▏       | 52/235 [00:02<00:09, 20.10it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  22%|██▏       | 52/235 [00:02<00:09, 20.10it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 53/235 [00:02<00:09, 20.19it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 53/235 [00:02<00:09, 20.19it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 54/235 [00:02<00:08, 20.28it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 54/235 [00:02<00:08, 20.28it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 55/235 [00:02<00:08, 20.40it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  23%|██▎       | 55/235 [00:02<00:08, 20.40it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  24%|██▍       | 56/235 [00:02<00:08, 20.51it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  24%|██▍       | 56/235 [00:02<00:08, 20.51it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  24%|██▍       | 57/235 [00:02<00:08, 20.62it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  24%|██▍       | 57/235 [00:02<00:08, 20.61it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  25%|██▍       | 58/235 [00:02<00:08, 20.74it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  25%|██▍       | 58/235 [00:02<00:08, 20.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  25%|██▌       | 59/235 [00:02<00:08, 20.83it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  25%|██▌       | 59/235 [00:02<00:08, 20.82it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▌       | 60/235 [00:02<00:08, 20.90it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▌       | 60/235 [00:02<00:08, 20.90it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▌       | 61/235 [00:02<00:08, 20.97it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▌       | 61/235 [00:02<00:08, 20.97it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▋       | 62/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  26%|██▋       | 62/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  27%|██▋       | 63/235 [00:02<00:08, 21.11it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  27%|██▋       | 63/235 [00:02<00:08, 21.10it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  27%|██▋       | 64/235 [00:03<00:08, 21.18it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  27%|██▋       | 64/235 [00:03<00:08, 21.17it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  28%|██▊       | 65/235 [00:03<00:08, 21.24it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  28%|██▊       | 65/235 [00:03<00:08, 21.24it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  28%|██▊       | 66/235 [00:03<00:07, 21.31it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  28%|██▊       | 66/235 [00:03<00:07, 21.30it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▊       | 67/235 [00:03<00:07, 21.37it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▊       | 67/235 [00:03<00:07, 21.37it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▉       | 68/235 [00:03<00:07, 21.43it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▉       | 68/235 [00:03<00:07, 21.43it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▉       | 69/235 [00:03<00:07, 21.49it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  29%|██▉       | 69/235 [00:03<00:07, 21.49it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  30%|██▉       | 70/235 [00:03<00:07, 21.55it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  30%|██▉       | 70/235 [00:03<00:07, 21.54it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  30%|███       | 71/235 [00:03<00:07, 21.60it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  30%|███       | 71/235 [00:03<00:07, 21.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███       | 72/235 [00:03<00:07, 21.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███       | 72/235 [00:03<00:07, 21.65it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███       | 73/235 [00:03<00:07, 21.71it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███       | 73/235 [00:03<00:07, 21.71it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███▏      | 74/235 [00:03<00:07, 21.77it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  31%|███▏      | 74/235 [00:03<00:07, 21.76it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  32%|███▏      | 75/235 [00:03<00:07, 21.82it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  32%|███▏      | 75/235 [00:03<00:07, 21.81it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  32%|███▏      | 76/235 [00:03<00:07, 21.87it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  32%|███▏      | 76/235 [00:03<00:07, 21.87it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  33%|███▎      | 77/235 [00:03<00:07, 21.94it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  33%|███▎      | 77/235 [00:03<00:07, 21.94it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  33%|███▎      | 78/235 [00:03<00:07, 22.03it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  33%|███▎      | 78/235 [00:03<00:07, 22.03it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▎      | 79/235 [00:03<00:07, 22.06it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▎      | 79/235 [00:03<00:07, 22.06it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▍      | 80/235 [00:03<00:06, 22.15it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▍      | 80/235 [00:03<00:06, 22.15it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▍      | 81/235 [00:03<00:06, 22.21it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  34%|███▍      | 81/235 [00:03<00:06, 22.20it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  35%|███▍      | 82/235 [00:03<00:06, 22.28it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  35%|███▍      | 82/235 [00:03<00:06, 22.28it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  35%|███▌      | 83/235 [00:03<00:06, 22.34it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  35%|███▌      | 83/235 [00:03<00:06, 22.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  36%|███▌      | 84/235 [00:03<00:06, 22.42it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  36%|███▌      | 84/235 [00:03<00:06, 22.41it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  36%|███▌      | 85/235 [00:03<00:06, 22.48it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  36%|███▌      | 85/235 [00:03<00:06, 22.48it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 86/235 [00:03<00:06, 22.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 86/235 [00:03<00:06, 22.54it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 87/235 [00:03<00:06, 22.60it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 87/235 [00:03<00:06, 22.60it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 88/235 [00:03<00:06, 22.66it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  37%|███▋      | 88/235 [00:03<00:06, 22.65it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  38%|███▊      | 89/235 [00:03<00:06, 22.72it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  38%|███▊      | 89/235 [00:03<00:06, 22.71it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  38%|███▊      | 90/235 [00:03<00:06, 22.78it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  38%|███▊      | 90/235 [00:03<00:06, 22.78it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  39%|███▊      | 91/235 [00:03<00:06, 22.82it/s, v_num=16, acc1/train=0.910, f1/train=0.910, precision/train=0.910, recall/train=0.910, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  39%|███▊      | 91/235 [00:03<00:06, 22.82it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  39%|███▉      | 92/235 [00:04<00:06, 22.89it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  39%|███▉      | 92/235 [00:04<00:06, 22.88it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|███▉      | 93/235 [00:04<00:06, 22.93it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|███▉      | 93/235 [00:04<00:06, 22.93it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|████      | 94/235 [00:04<00:06, 22.98it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|████      | 94/235 [00:04<00:06, 22.98it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|████      | 95/235 [00:04<00:06, 23.04it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  40%|████      | 95/235 [00:04<00:06, 23.04it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  41%|████      | 96/235 [00:04<00:06, 23.08it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  41%|████      | 96/235 [00:04<00:06, 23.08it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  41%|████▏     | 97/235 [00:04<00:05, 23.13it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  41%|████▏     | 97/235 [00:04<00:05, 23.13it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  42%|████▏     | 98/235 [00:04<00:05, 23.15it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  42%|████▏     | 98/235 [00:04<00:05, 23.15it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  42%|████▏     | 99/235 [00:04<00:05, 23.21it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  42%|████▏     | 99/235 [00:04<00:05, 23.21it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 100/235 [00:04<00:05, 23.26it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 100/235 [00:04<00:05, 23.25it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 101/235 [00:04<00:05, 23.30it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 101/235 [00:04<00:05, 23.30it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 102/235 [00:04<00:05, 23.36it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  43%|████▎     | 102/235 [00:04<00:05, 23.36it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  44%|████▍     | 103/235 [00:04<00:05, 23.41it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  44%|████▍     | 103/235 [00:04<00:05, 23.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  44%|████▍     | 104/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  44%|████▍     | 104/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  45%|████▍     | 105/235 [00:04<00:05, 23.50it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  45%|████▍     | 105/235 [00:04<00:05, 23.50it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  45%|████▌     | 106/235 [00:04<00:05, 23.56it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  45%|████▌     | 106/235 [00:04<00:05, 23.56it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▌     | 107/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▌     | 107/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▌     | 108/235 [00:04<00:05, 23.66it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▌     | 108/235 [00:04<00:05, 23.65it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▋     | 109/235 [00:04<00:05, 23.70it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  46%|████▋     | 109/235 [00:04<00:05, 23.70it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  47%|████▋     | 110/235 [00:04<00:05, 23.74it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  47%|████▋     | 110/235 [00:04<00:05, 23.73it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  47%|████▋     | 111/235 [00:04<00:05, 23.74it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  47%|████▋     | 111/235 [00:04<00:05, 23.74it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  48%|████▊     | 112/235 [00:04<00:05, 23.76it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  48%|████▊     | 112/235 [00:04<00:05, 23.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  48%|████▊     | 113/235 [00:04<00:05, 23.78it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  48%|████▊     | 113/235 [00:04<00:05, 23.78it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▊     | 114/235 [00:04<00:05, 23.79it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▊     | 114/235 [00:04<00:05, 23.79it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▉     | 115/235 [00:04<00:05, 23.82it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▉     | 115/235 [00:04<00:05, 23.81it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▉     | 116/235 [00:04<00:04, 23.87it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  49%|████▉     | 116/235 [00:04<00:04, 23.86it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  50%|████▉     | 117/235 [00:04<00:04, 23.90it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  50%|████▉     | 117/235 [00:04<00:04, 23.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  50%|█████     | 118/235 [00:04<00:04, 23.94it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  50%|█████     | 118/235 [00:04<00:04, 23.94it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████     | 119/235 [00:04<00:04, 23.99it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████     | 119/235 [00:04<00:04, 23.98it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████     | 120/235 [00:04<00:04, 24.01it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████     | 120/235 [00:04<00:04, 24.01it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████▏    | 121/235 [00:05<00:04, 24.06it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  51%|█████▏    | 121/235 [00:05<00:04, 24.05it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  52%|█████▏    | 122/235 [00:05<00:04, 24.09it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  52%|█████▏    | 122/235 [00:05<00:04, 24.08it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  52%|█████▏    | 123/235 [00:05<00:04, 24.12it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  52%|█████▏    | 123/235 [00:05<00:04, 24.12it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  53%|█████▎    | 124/235 [00:05<00:04, 24.16it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  53%|█████▎    | 124/235 [00:05<00:04, 24.16it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  53%|█████▎    | 125/235 [00:05<00:04, 24.20it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  53%|█████▎    | 125/235 [00:05<00:04, 24.19it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▎    | 126/235 [00:05<00:04, 24.24it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▎    | 126/235 [00:05<00:04, 24.24it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▍    | 127/235 [00:05<00:04, 24.27it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▍    | 127/235 [00:05<00:04, 24.27it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▍    | 128/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  54%|█████▍    | 128/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  55%|█████▍    | 129/235 [00:05<00:04, 24.30it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  55%|█████▍    | 129/235 [00:05<00:04, 24.29it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  55%|█████▌    | 130/235 [00:05<00:04, 24.34it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  55%|█████▌    | 130/235 [00:05<00:04, 24.33it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  56%|█████▌    | 131/235 [00:05<00:04, 24.35it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  56%|█████▌    | 131/235 [00:05<00:04, 24.35it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  56%|█████▌    | 132/235 [00:05<00:04, 24.40it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  56%|█████▌    | 132/235 [00:05<00:04, 24.39it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 133/235 [00:05<00:04, 24.43it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 133/235 [00:05<00:04, 24.42it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 134/235 [00:05<00:04, 24.46it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 134/235 [00:05<00:04, 24.46it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 135/235 [00:05<00:04, 24.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  57%|█████▋    | 135/235 [00:05<00:04, 24.49it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  58%|█████▊    | 136/235 [00:05<00:04, 24.50it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  58%|█████▊    | 136/235 [00:05<00:04, 24.50it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  58%|█████▊    | 137/235 [00:05<00:03, 24.52it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  58%|█████▊    | 137/235 [00:05<00:03, 24.52it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  59%|█████▊    | 138/235 [00:05<00:03, 24.55it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  59%|█████▊    | 138/235 [00:05<00:03, 24.54it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  59%|█████▉    | 139/235 [00:05<00:03, 24.58it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  59%|█████▉    | 139/235 [00:05<00:03, 24.58it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|█████▉    | 140/235 [00:05<00:03, 24.61it/s, v_num=16, acc1/train=0.922, f1/train=0.922, precision/train=0.922, recall/train=0.922, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|█████▉    | 140/235 [00:05<00:03, 24.61it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|██████    | 141/235 [00:05<00:03, 24.65it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|██████    | 141/235 [00:05<00:03, 24.64it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|██████    | 142/235 [00:05<00:03, 24.67it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  60%|██████    | 142/235 [00:05<00:03, 24.67it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  61%|██████    | 143/235 [00:05<00:03, 24.71it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  61%|██████    | 143/235 [00:05<00:03, 24.71it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  61%|██████▏   | 144/235 [00:05<00:03, 24.73it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  61%|██████▏   | 144/235 [00:05<00:03, 24.73it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  62%|██████▏   | 145/235 [00:05<00:03, 24.77it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  62%|██████▏   | 145/235 [00:05<00:03, 24.77it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  62%|██████▏   | 146/235 [00:05<00:03, 24.80it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  62%|██████▏   | 146/235 [00:05<00:03, 24.80it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 147/235 [00:05<00:03, 24.83it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 147/235 [00:05<00:03, 24.83it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 148/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 148/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 149/235 [00:05<00:03, 24.89it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  63%|██████▎   | 149/235 [00:05<00:03, 24.89it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  64%|██████▍   | 150/235 [00:06<00:03, 24.91it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  64%|██████▍   | 150/235 [00:06<00:03, 24.91it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  64%|██████▍   | 151/235 [00:06<00:03, 24.95it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  64%|██████▍   | 151/235 [00:06<00:03, 24.95it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  65%|██████▍   | 152/235 [00:06<00:03, 24.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  65%|██████▍   | 152/235 [00:06<00:03, 24.96it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  65%|██████▌   | 153/235 [00:06<00:03, 25.00it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  65%|██████▌   | 153/235 [00:06<00:03, 25.00it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▌   | 154/235 [00:06<00:03, 25.03it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▌   | 154/235 [00:06<00:03, 25.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▌   | 155/235 [00:06<00:03, 25.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▌   | 155/235 [00:06<00:03, 25.05it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▋   | 156/235 [00:06<00:03, 25.08it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  66%|██████▋   | 156/235 [00:06<00:03, 25.07it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  67%|██████▋   | 157/235 [00:06<00:03, 25.11it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  67%|██████▋   | 157/235 [00:06<00:03, 25.10it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  67%|██████▋   | 158/235 [00:06<00:03, 25.13it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  67%|██████▋   | 158/235 [00:06<00:03, 25.13it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  68%|██████▊   | 159/235 [00:06<00:03, 25.16it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  68%|██████▊   | 159/235 [00:06<00:03, 25.16it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  68%|██████▊   | 160/235 [00:06<00:02, 25.18it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  68%|██████▊   | 160/235 [00:06<00:02, 25.18it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▊   | 161/235 [00:06<00:02, 25.21it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▊   | 161/235 [00:06<00:02, 25.21it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▉   | 162/235 [00:06<00:02, 25.24it/s, v_num=16, acc1/train=0.926, f1/train=0.926, precision/train=0.926, recall/train=0.926, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▉   | 162/235 [00:06<00:02, 25.23it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▉   | 163/235 [00:06<00:02, 25.27it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  69%|██████▉   | 163/235 [00:06<00:02, 25.27it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  70%|██████▉   | 164/235 [00:06<00:02, 25.29it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  70%|██████▉   | 164/235 [00:06<00:02, 25.29it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  70%|███████   | 165/235 [00:06<00:02, 25.32it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  70%|███████   | 165/235 [00:06<00:02, 25.32it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████   | 166/235 [00:06<00:02, 25.34it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████   | 166/235 [00:06<00:02, 25.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████   | 167/235 [00:06<00:02, 25.37it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████   | 167/235 [00:06<00:02, 25.37it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████▏  | 168/235 [00:06<00:02, 25.39it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  71%|███████▏  | 168/235 [00:06<00:02, 25.39it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  72%|███████▏  | 169/235 [00:06<00:02, 25.42it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  72%|███████▏  | 169/235 [00:06<00:02, 25.42it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  72%|███████▏  | 170/235 [00:06<00:02, 25.44it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  72%|███████▏  | 170/235 [00:06<00:02, 25.44it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  73%|███████▎  | 171/235 [00:06<00:02, 25.47it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  73%|███████▎  | 171/235 [00:06<00:02, 25.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  73%|███████▎  | 172/235 [00:06<00:02, 25.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  73%|███████▎  | 172/235 [00:06<00:02, 25.49it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▎  | 173/235 [00:06<00:02, 25.52it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▎  | 173/235 [00:06<00:02, 25.52it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▍  | 174/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▍  | 174/235 [00:06<00:02, 25.53it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▍  | 175/235 [00:06<00:02, 25.56it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  74%|███████▍  | 175/235 [00:06<00:02, 25.56it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  75%|███████▍  | 176/235 [00:06<00:02, 25.58it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  75%|███████▍  | 176/235 [00:06<00:02, 25.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  75%|███████▌  | 177/235 [00:06<00:02, 25.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  75%|███████▌  | 177/235 [00:06<00:02, 25.61it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  76%|███████▌  | 178/235 [00:06<00:02, 25.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  76%|███████▌  | 178/235 [00:06<00:02, 25.62it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  76%|███████▌  | 179/235 [00:06<00:02, 25.62it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  76%|███████▌  | 179/235 [00:06<00:02, 25.62it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 180/235 [00:07<00:02, 25.62it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 180/235 [00:07<00:02, 25.62it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 181/235 [00:07<00:02, 25.62it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 181/235 [00:07<00:02, 25.62it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 182/235 [00:07<00:02, 25.63it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  77%|███████▋  | 182/235 [00:07<00:02, 25.63it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  78%|███████▊  | 183/235 [00:07<00:02, 25.63it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  78%|███████▊  | 183/235 [00:07<00:02, 25.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  78%|███████▊  | 184/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  78%|███████▊  | 184/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  79%|███████▊  | 185/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  79%|███████▊  | 185/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  79%|███████▉  | 186/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  79%|███████▉  | 186/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|███████▉  | 187/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|███████▉  | 187/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|████████  | 188/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|████████  | 188/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|████████  | 189/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  80%|████████  | 189/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  81%|████████  | 190/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  81%|████████  | 190/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  81%|████████▏ | 191/235 [00:07<00:01, 25.67it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  81%|████████▏ | 191/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  82%|████████▏ | 192/235 [00:07<00:01, 25.67it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  82%|████████▏ | 192/235 [00:07<00:01, 25.67it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  82%|████████▏ | 193/235 [00:07<00:01, 25.69it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  82%|████████▏ | 193/235 [00:07<00:01, 25.69it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 194/235 [00:07<00:01, 25.71it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 194/235 [00:07<00:01, 25.71it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 195/235 [00:07<00:01, 25.73it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 195/235 [00:07<00:01, 25.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 196/235 [00:07<00:01, 25.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  83%|████████▎ | 196/235 [00:07<00:01, 25.75it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  84%|████████▍ | 197/235 [00:07<00:01, 25.78it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  84%|████████▍ | 197/235 [00:07<00:01, 25.78it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  84%|████████▍ | 198/235 [00:07<00:01, 25.80it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  84%|████████▍ | 198/235 [00:07<00:01, 25.80it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  85%|████████▍ | 199/235 [00:07<00:01, 25.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  85%|████████▍ | 199/235 [00:07<00:01, 25.82it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  85%|████████▌ | 200/235 [00:07<00:01, 25.83it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  85%|████████▌ | 200/235 [00:07<00:01, 25.82it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▌ | 201/235 [00:07<00:01, 25.85it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▌ | 201/235 [00:07<00:01, 25.85it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▌ | 202/235 [00:07<00:01, 25.87it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▌ | 202/235 [00:07<00:01, 25.86it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▋ | 203/235 [00:07<00:01, 25.89it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  86%|████████▋ | 203/235 [00:07<00:01, 25.89it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  87%|████████▋ | 204/235 [00:07<00:01, 25.89it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  87%|████████▋ | 204/235 [00:07<00:01, 25.89it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  87%|████████▋ | 205/235 [00:07<00:01, 25.92it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  87%|████████▋ | 205/235 [00:07<00:01, 25.92it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  88%|████████▊ | 206/235 [00:07<00:01, 25.93it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  88%|████████▊ | 206/235 [00:07<00:01, 25.93it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  88%|████████▊ | 207/235 [00:07<00:01, 25.95it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  88%|████████▊ | 207/235 [00:07<00:01, 25.94it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▊ | 208/235 [00:08<00:01, 25.96it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▊ | 208/235 [00:08<00:01, 25.96it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▉ | 209/235 [00:08<00:01, 25.98it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▉ | 209/235 [00:08<00:01, 25.98it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▉ | 210/235 [00:08<00:00, 26.00it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  89%|████████▉ | 210/235 [00:08<00:00, 25.99it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  90%|████████▉ | 211/235 [00:08<00:00, 26.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  90%|████████▉ | 211/235 [00:08<00:00, 26.02it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  90%|█████████ | 212/235 [00:08<00:00, 26.03it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  90%|█████████ | 212/235 [00:08<00:00, 26.03it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████ | 213/235 [00:08<00:00, 26.05it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████ | 213/235 [00:08<00:00, 26.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████ | 214/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████ | 214/235 [00:08<00:00, 26.06it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████▏| 215/235 [00:08<00:00, 26.08it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  91%|█████████▏| 215/235 [00:08<00:00, 26.08it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  92%|█████████▏| 216/235 [00:08<00:00, 26.12it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  92%|█████████▏| 216/235 [00:08<00:00, 26.12it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  92%|█████████▏| 217/235 [00:08<00:00, 26.17it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  92%|█████████▏| 217/235 [00:08<00:00, 26.16it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  93%|█████████▎| 218/235 [00:08<00:00, 26.21it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  93%|█████████▎| 218/235 [00:08<00:00, 26.21it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  93%|█████████▎| 219/235 [00:08<00:00, 26.25it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  93%|█████████▎| 219/235 [00:08<00:00, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▎| 220/235 [00:08<00:00, 26.29it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▎| 220/235 [00:08<00:00, 26.29it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▍| 221/235 [00:08<00:00, 26.34it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▍| 221/235 [00:08<00:00, 26.34it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▍| 222/235 [00:08<00:00, 26.38it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  94%|█████████▍| 222/235 [00:08<00:00, 26.38it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  95%|█████████▍| 223/235 [00:08<00:00, 26.42it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  95%|█████████▍| 223/235 [00:08<00:00, 26.42it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  95%|█████████▌| 224/235 [00:08<00:00, 26.46it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  95%|█████████▌| 224/235 [00:08<00:00, 26.46it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  96%|█████████▌| 225/235 [00:08<00:00, 26.51it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  96%|█████████▌| 225/235 [00:08<00:00, 26.50it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  96%|█████████▌| 226/235 [00:08<00:00, 26.55it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  96%|█████████▌| 226/235 [00:08<00:00, 26.55it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 227/235 [00:08<00:00, 26.59it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 227/235 [00:08<00:00, 26.59it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 228/235 [00:08<00:00, 26.63it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 228/235 [00:08<00:00, 26.63it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 229/235 [00:08<00:00, 26.67it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  97%|█████████▋| 229/235 [00:08<00:00, 26.67it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  98%|█████████▊| 230/235 [00:08<00:00, 26.71it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  98%|█████████▊| 230/235 [00:08<00:00, 26.71it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  98%|█████████▊| 231/235 [00:08<00:00, 26.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  98%|█████████▊| 231/235 [00:08<00:00, 26.75it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  99%|█████████▊| 232/235 [00:08<00:00, 26.79it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  99%|█████████▊| 232/235 [00:08<00:00, 26.79it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  99%|█████████▉| 233/235 [00:08<00:00, 26.83it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:  99%|█████████▉| 233/235 [00:08<00:00, 26.83it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2: 100%|█████████▉| 234/235 [00:08<00:00, 26.87it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2: 100%|█████████▉| 234/235 [00:08<00:00, 26.87it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2: 100%|██████████| 235/235 [00:08<00:00, 26.91it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2: 100%|██████████| 235/235 [00:08<00:00, 26.90it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2: 100%|██████████| 235/235 [00:08<00:00, 26.90it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 2:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   0%|          | 1/235 [00:00<02:47,  1.40it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   0%|          | 1/235 [00:00<02:47,  1.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   1%|          | 2/235 [00:00<01:27,  2.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   1%|          | 2/235 [00:00<01:28,  2.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   1%|▏         | 3/235 [00:00<01:01,  3.78it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   1%|▏         | 3/235 [00:00<01:01,  3.77it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   2%|▏         | 4/235 [00:00<00:47,  4.82it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   2%|▏         | 4/235 [00:00<00:47,  4.81it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   2%|▏         | 5/235 [00:00<00:39,  5.79it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   2%|▏         | 5/235 [00:00<00:39,  5.78it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 6/235 [00:00<00:34,  6.66it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 6/235 [00:00<00:34,  6.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 7/235 [00:00<00:30,  7.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 7/235 [00:00<00:30,  7.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 8/235 [00:00<00:27,  8.29it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   3%|▎         | 8/235 [00:00<00:27,  8.29it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   4%|▍         | 9/235 [00:01<00:25,  8.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   4%|▍         | 9/235 [00:01<00:25,  8.96it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   4%|▍         | 10/235 [00:01<00:23,  9.60it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   4%|▍         | 10/235 [00:01<00:23,  9.59it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   5%|▍         | 11/235 [00:01<00:21, 10.20it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   5%|▍         | 11/235 [00:01<00:21, 10.20it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   5%|▌         | 12/235 [00:01<00:20, 10.76it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   5%|▌         | 12/235 [00:01<00:20, 10.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▌         | 13/235 [00:01<00:19, 11.26it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▌         | 13/235 [00:01<00:19, 11.25it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▌         | 14/235 [00:01<00:18, 11.79it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▌         | 14/235 [00:01<00:18, 11.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▋         | 15/235 [00:01<00:17, 12.29it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   6%|▋         | 15/235 [00:01<00:17, 12.29it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   7%|▋         | 16/235 [00:01<00:17, 12.77it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   7%|▋         | 16/235 [00:01<00:17, 12.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   7%|▋         | 17/235 [00:01<00:16, 13.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   7%|▋         | 17/235 [00:01<00:16, 13.24it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   8%|▊         | 18/235 [00:01<00:15, 13.67it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   8%|▊         | 18/235 [00:01<00:15, 13.66it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   8%|▊         | 19/235 [00:01<00:15, 14.11it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   8%|▊         | 19/235 [00:01<00:15, 14.10it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▊         | 20/235 [00:01<00:14, 14.50it/s, v_num=16, acc1/train=0.930, f1/train=0.930, precision/train=0.930, recall/train=0.930, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▊         | 20/235 [00:01<00:14, 14.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▉         | 21/235 [00:01<00:14, 14.89it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▉         | 21/235 [00:01<00:14, 14.89it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▉         | 22/235 [00:01<00:14, 15.20it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:   9%|▉         | 22/235 [00:01<00:14, 15.20it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  10%|▉         | 23/235 [00:01<00:13, 15.48it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  10%|▉         | 23/235 [00:01<00:13, 15.47it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  10%|█         | 24/235 [00:01<00:13, 15.73it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  10%|█         | 24/235 [00:01<00:13, 15.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█         | 25/235 [00:01<00:13, 15.98it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█         | 25/235 [00:01<00:13, 15.97it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█         | 26/235 [00:01<00:12, 16.22it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█         | 26/235 [00:01<00:12, 16.22it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█▏        | 27/235 [00:01<00:12, 16.45it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  11%|█▏        | 27/235 [00:01<00:12, 16.45it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  12%|█▏        | 28/235 [00:01<00:12, 16.68it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  12%|█▏        | 28/235 [00:01<00:12, 16.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  12%|█▏        | 29/235 [00:01<00:12, 16.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  12%|█▏        | 29/235 [00:01<00:12, 16.89it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  13%|█▎        | 30/235 [00:01<00:11, 17.10it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  13%|█▎        | 30/235 [00:01<00:11, 17.10it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  13%|█▎        | 31/235 [00:01<00:11, 17.30it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  13%|█▎        | 31/235 [00:01<00:11, 17.29it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▎        | 32/235 [00:01<00:11, 17.49it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▎        | 32/235 [00:01<00:11, 17.48it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▍        | 33/235 [00:01<00:11, 17.67it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▍        | 33/235 [00:01<00:11, 17.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▍        | 34/235 [00:01<00:11, 17.84it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  14%|█▍        | 34/235 [00:01<00:11, 17.84it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  15%|█▍        | 35/235 [00:01<00:11, 18.01it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  15%|█▍        | 35/235 [00:01<00:11, 18.00it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  15%|█▌        | 36/235 [00:01<00:10, 18.17it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  15%|█▌        | 36/235 [00:01<00:10, 18.17it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  16%|█▌        | 37/235 [00:02<00:10, 18.32it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  16%|█▌        | 37/235 [00:02<00:10, 18.32it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  16%|█▌        | 38/235 [00:02<00:10, 18.47it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  16%|█▌        | 38/235 [00:02<00:10, 18.46it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 39/235 [00:02<00:10, 18.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 39/235 [00:02<00:10, 18.61it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 40/235 [00:02<00:10, 18.75it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 40/235 [00:02<00:10, 18.75it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 41/235 [00:02<00:10, 18.88it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  17%|█▋        | 41/235 [00:02<00:10, 18.87it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  18%|█▊        | 42/235 [00:02<00:10, 19.01it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  18%|█▊        | 42/235 [00:02<00:10, 19.00it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  18%|█▊        | 43/235 [00:02<00:10, 19.13it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  18%|█▊        | 43/235 [00:02<00:10, 19.13it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  19%|█▊        | 44/235 [00:02<00:09, 19.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  19%|█▊        | 44/235 [00:02<00:09, 19.25it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  19%|█▉        | 45/235 [00:02<00:09, 19.37it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  19%|█▉        | 45/235 [00:02<00:09, 19.37it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|█▉        | 46/235 [00:02<00:09, 19.47it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|█▉        | 46/235 [00:02<00:09, 19.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|██        | 47/235 [00:02<00:09, 19.58it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|██        | 47/235 [00:02<00:09, 19.58it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|██        | 48/235 [00:02<00:09, 19.69it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  20%|██        | 48/235 [00:02<00:09, 19.68it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  21%|██        | 49/235 [00:02<00:09, 19.79it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  21%|██        | 49/235 [00:02<00:09, 19.79it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  21%|██▏       | 50/235 [00:02<00:09, 19.89it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  21%|██▏       | 50/235 [00:02<00:09, 19.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  22%|██▏       | 51/235 [00:02<00:09, 19.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  22%|██▏       | 51/235 [00:02<00:09, 19.98it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  22%|██▏       | 52/235 [00:02<00:09, 20.12it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  22%|██▏       | 52/235 [00:02<00:09, 20.11it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 53/235 [00:02<00:08, 20.26it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 53/235 [00:02<00:08, 20.25it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 54/235 [00:02<00:08, 20.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 54/235 [00:02<00:08, 20.37it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 55/235 [00:02<00:08, 20.51it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  23%|██▎       | 55/235 [00:02<00:08, 20.50it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  24%|██▍       | 56/235 [00:02<00:08, 20.62it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  24%|██▍       | 56/235 [00:02<00:08, 20.61it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  24%|██▍       | 57/235 [00:02<00:08, 20.74it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  24%|██▍       | 57/235 [00:02<00:08, 20.73it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  25%|██▍       | 58/235 [00:02<00:08, 20.84it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  25%|██▍       | 58/235 [00:02<00:08, 20.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  25%|██▌       | 59/235 [00:02<00:08, 20.96it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  25%|██▌       | 59/235 [00:02<00:08, 20.96it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▌       | 60/235 [00:02<00:08, 21.06it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▌       | 60/235 [00:02<00:08, 21.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▌       | 61/235 [00:02<00:08, 21.18it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▌       | 61/235 [00:02<00:08, 21.18it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▋       | 62/235 [00:02<00:08, 21.27it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  26%|██▋       | 62/235 [00:02<00:08, 21.27it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  27%|██▋       | 63/235 [00:02<00:08, 21.38it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  27%|██▋       | 63/235 [00:02<00:08, 21.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  27%|██▋       | 64/235 [00:02<00:07, 21.48it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  27%|██▋       | 64/235 [00:02<00:07, 21.47it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  28%|██▊       | 65/235 [00:03<00:07, 21.58it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  28%|██▊       | 65/235 [00:03<00:07, 21.58it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  28%|██▊       | 66/235 [00:03<00:07, 21.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  28%|██▊       | 66/235 [00:03<00:07, 21.67it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▊       | 67/235 [00:03<00:07, 21.77it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▊       | 67/235 [00:03<00:07, 21.77it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▉       | 68/235 [00:03<00:07, 21.85it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▉       | 68/235 [00:03<00:07, 21.85it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▉       | 69/235 [00:03<00:07, 21.95it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  29%|██▉       | 69/235 [00:03<00:07, 21.95it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  30%|██▉       | 70/235 [00:03<00:07, 22.03it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  30%|██▉       | 70/235 [00:03<00:07, 22.03it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  30%|███       | 71/235 [00:03<00:07, 22.12it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  30%|███       | 71/235 [00:03<00:07, 22.12it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███       | 72/235 [00:03<00:07, 22.20it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███       | 72/235 [00:03<00:07, 22.19it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███       | 73/235 [00:03<00:07, 22.29it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███       | 73/235 [00:03<00:07, 22.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███▏      | 74/235 [00:03<00:07, 22.36it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  31%|███▏      | 74/235 [00:03<00:07, 22.35it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  32%|███▏      | 75/235 [00:03<00:07, 22.45it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  32%|███▏      | 75/235 [00:03<00:07, 22.44it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  32%|███▏      | 76/235 [00:03<00:07, 22.52it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  32%|███▏      | 76/235 [00:03<00:07, 22.51it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  33%|███▎      | 77/235 [00:03<00:07, 22.54it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  33%|███▎      | 77/235 [00:03<00:07, 22.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  33%|███▎      | 78/235 [00:03<00:06, 22.58it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  33%|███▎      | 78/235 [00:03<00:06, 22.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▎      | 79/235 [00:03<00:06, 22.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▎      | 79/235 [00:03<00:06, 22.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▍      | 80/235 [00:03<00:06, 22.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▍      | 80/235 [00:03<00:06, 22.66it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▍      | 81/235 [00:03<00:06, 22.70it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  34%|███▍      | 81/235 [00:03<00:06, 22.70it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  35%|███▍      | 82/235 [00:03<00:06, 22.74it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  35%|███▍      | 82/235 [00:03<00:06, 22.74it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  35%|███▌      | 83/235 [00:03<00:06, 22.78it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  35%|███▌      | 83/235 [00:03<00:06, 22.78it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  36%|███▌      | 84/235 [00:03<00:06, 22.82it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  36%|███▌      | 84/235 [00:03<00:06, 22.81it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  36%|███▌      | 85/235 [00:03<00:06, 22.85it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  36%|███▌      | 85/235 [00:03<00:06, 22.85it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 86/235 [00:03<00:06, 22.89it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 86/235 [00:03<00:06, 22.89it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 87/235 [00:03<00:06, 22.92it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 87/235 [00:03<00:06, 22.92it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 88/235 [00:03<00:06, 22.96it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  37%|███▋      | 88/235 [00:03<00:06, 22.96it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  38%|███▊      | 89/235 [00:03<00:06, 22.99it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  38%|███▊      | 89/235 [00:03<00:06, 22.99it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  38%|███▊      | 90/235 [00:03<00:06, 23.03it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  38%|███▊      | 90/235 [00:03<00:06, 23.02it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  39%|███▊      | 91/235 [00:03<00:06, 23.06it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  39%|███▊      | 91/235 [00:03<00:06, 23.06it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  39%|███▉      | 92/235 [00:03<00:06, 23.09it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  39%|███▉      | 92/235 [00:03<00:06, 23.09it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|███▉      | 93/235 [00:04<00:06, 23.12it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|███▉      | 93/235 [00:04<00:06, 23.12it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|████      | 94/235 [00:04<00:06, 23.15it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|████      | 94/235 [00:04<00:06, 23.15it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|████      | 95/235 [00:04<00:06, 23.18it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  40%|████      | 95/235 [00:04<00:06, 23.18it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  41%|████      | 96/235 [00:04<00:05, 23.21it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  41%|████      | 96/235 [00:04<00:05, 23.21it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  41%|████▏     | 97/235 [00:04<00:05, 23.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  41%|████▏     | 97/235 [00:04<00:05, 23.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  42%|████▏     | 98/235 [00:04<00:05, 23.27it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  42%|████▏     | 98/235 [00:04<00:05, 23.27it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  42%|████▏     | 99/235 [00:04<00:05, 23.30it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  42%|████▏     | 99/235 [00:04<00:05, 23.30it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 100/235 [00:04<00:05, 23.33it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 100/235 [00:04<00:05, 23.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 101/235 [00:04<00:05, 23.35it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 101/235 [00:04<00:05, 23.35it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 102/235 [00:04<00:05, 23.38it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  43%|████▎     | 102/235 [00:04<00:05, 23.38it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  44%|████▍     | 103/235 [00:04<00:05, 23.41it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  44%|████▍     | 103/235 [00:04<00:05, 23.41it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  44%|████▍     | 104/235 [00:04<00:05, 23.43it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  44%|████▍     | 104/235 [00:04<00:05, 23.43it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  45%|████▍     | 105/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  45%|████▍     | 105/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  45%|████▌     | 106/235 [00:04<00:05, 23.48it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  45%|████▌     | 106/235 [00:04<00:05, 23.48it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▌     | 107/235 [00:04<00:05, 23.51it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▌     | 107/235 [00:04<00:05, 23.51it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▌     | 108/235 [00:04<00:05, 23.54it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▌     | 108/235 [00:04<00:05, 23.53it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▋     | 109/235 [00:04<00:05, 23.56it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  46%|████▋     | 109/235 [00:04<00:05, 23.56it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  47%|████▋     | 110/235 [00:04<00:05, 23.58it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  47%|████▋     | 110/235 [00:04<00:05, 23.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  47%|████▋     | 111/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  47%|████▋     | 111/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  48%|████▊     | 112/235 [00:04<00:05, 23.63it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  48%|████▊     | 112/235 [00:04<00:05, 23.62it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  48%|████▊     | 113/235 [00:04<00:05, 23.65it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  48%|████▊     | 113/235 [00:04<00:05, 23.65it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▊     | 114/235 [00:04<00:05, 23.67it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▊     | 114/235 [00:04<00:05, 23.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▉     | 115/235 [00:04<00:05, 23.69it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▉     | 115/235 [00:04<00:05, 23.69it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▉     | 116/235 [00:04<00:05, 23.72it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  49%|████▉     | 116/235 [00:04<00:05, 23.71it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  50%|████▉     | 117/235 [00:04<00:04, 23.74it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  50%|████▉     | 117/235 [00:04<00:04, 23.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  50%|█████     | 118/235 [00:04<00:04, 23.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  50%|█████     | 118/235 [00:04<00:04, 23.75it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████     | 119/235 [00:05<00:04, 23.78it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████     | 119/235 [00:05<00:04, 23.77it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████     | 120/235 [00:05<00:04, 23.80it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████     | 120/235 [00:05<00:04, 23.79it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████▏    | 121/235 [00:05<00:04, 23.82it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  51%|█████▏    | 121/235 [00:05<00:04, 23.81it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  52%|█████▏    | 122/235 [00:05<00:04, 23.84it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  52%|█████▏    | 122/235 [00:05<00:04, 23.83it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  52%|█████▏    | 123/235 [00:05<00:04, 23.85it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  52%|█████▏    | 123/235 [00:05<00:04, 23.85it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  53%|█████▎    | 124/235 [00:05<00:04, 23.87it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  53%|█████▎    | 124/235 [00:05<00:04, 23.87it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  53%|█████▎    | 125/235 [00:05<00:04, 23.93it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  53%|█████▎    | 125/235 [00:05<00:04, 23.93it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▎    | 126/235 [00:05<00:04, 23.96it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▎    | 126/235 [00:05<00:04, 23.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▍    | 127/235 [00:05<00:04, 24.01it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▍    | 127/235 [00:05<00:04, 24.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▍    | 128/235 [00:05<00:04, 24.04it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  54%|█████▍    | 128/235 [00:05<00:04, 24.04it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  55%|█████▍    | 129/235 [00:05<00:04, 24.09it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  55%|█████▍    | 129/235 [00:05<00:04, 24.08it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  55%|█████▌    | 130/235 [00:05<00:04, 24.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  55%|█████▌    | 130/235 [00:05<00:04, 24.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  56%|█████▌    | 131/235 [00:05<00:04, 24.14it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  56%|█████▌    | 131/235 [00:05<00:04, 24.14it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  56%|█████▌    | 132/235 [00:05<00:04, 24.18it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  56%|█████▌    | 132/235 [00:05<00:04, 24.18it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 133/235 [00:05<00:04, 24.21it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 133/235 [00:05<00:04, 24.21it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 134/235 [00:05<00:04, 24.25it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 134/235 [00:05<00:04, 24.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 135/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  57%|█████▋    | 135/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  58%|█████▊    | 136/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  58%|█████▊    | 136/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  58%|█████▊    | 137/235 [00:05<00:04, 24.30it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  58%|█████▊    | 137/235 [00:05<00:04, 24.29it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  59%|█████▊    | 138/235 [00:05<00:03, 24.31it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  59%|█████▊    | 138/235 [00:05<00:03, 24.31it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  59%|█████▉    | 139/235 [00:05<00:03, 24.32it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  59%|█████▉    | 139/235 [00:05<00:03, 24.32it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|█████▉    | 140/235 [00:05<00:03, 24.33it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|█████▉    | 140/235 [00:05<00:03, 24.33it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|██████    | 141/235 [00:05<00:03, 24.35it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|██████    | 141/235 [00:05<00:03, 24.35it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|██████    | 142/235 [00:05<00:03, 24.36it/s, v_num=16, acc1/train=0.934, f1/train=0.934, precision/train=0.934, recall/train=0.934, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  60%|██████    | 142/235 [00:05<00:03, 24.36it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  61%|██████    | 143/235 [00:05<00:03, 24.38it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  61%|██████    | 143/235 [00:05<00:03, 24.37it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  61%|██████▏   | 144/235 [00:05<00:03, 24.39it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  61%|██████▏   | 144/235 [00:05<00:03, 24.39it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  62%|██████▏   | 145/235 [00:05<00:03, 24.40it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  62%|██████▏   | 145/235 [00:05<00:03, 24.40it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  62%|██████▏   | 146/235 [00:05<00:03, 24.41it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  62%|██████▏   | 146/235 [00:05<00:03, 24.41it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 147/235 [00:06<00:03, 24.42it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 147/235 [00:06<00:03, 24.42it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 148/235 [00:06<00:03, 24.43it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 148/235 [00:06<00:03, 24.43it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 149/235 [00:06<00:03, 24.45it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  63%|██████▎   | 149/235 [00:06<00:03, 24.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  64%|██████▍   | 150/235 [00:06<00:03, 24.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  64%|██████▍   | 150/235 [00:06<00:03, 24.46it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  64%|██████▍   | 151/235 [00:06<00:03, 24.47it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  64%|██████▍   | 151/235 [00:06<00:03, 24.47it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  65%|██████▍   | 152/235 [00:06<00:03, 24.48it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  65%|██████▍   | 152/235 [00:06<00:03, 24.48it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  65%|██████▌   | 153/235 [00:06<00:03, 24.49it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  65%|██████▌   | 153/235 [00:06<00:03, 24.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▌   | 154/235 [00:06<00:03, 24.51it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▌   | 154/235 [00:06<00:03, 24.50it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▌   | 155/235 [00:06<00:03, 24.52it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▌   | 155/235 [00:06<00:03, 24.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▋   | 156/235 [00:06<00:03, 24.53it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  66%|██████▋   | 156/235 [00:06<00:03, 24.53it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  67%|██████▋   | 157/235 [00:06<00:03, 24.54it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  67%|██████▋   | 157/235 [00:06<00:03, 24.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  67%|██████▋   | 158/235 [00:06<00:03, 24.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  67%|██████▋   | 158/235 [00:06<00:03, 24.55it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  68%|██████▊   | 159/235 [00:06<00:03, 24.56it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  68%|██████▊   | 159/235 [00:06<00:03, 24.56it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  68%|██████▊   | 160/235 [00:06<00:03, 24.57it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  68%|██████▊   | 160/235 [00:06<00:03, 24.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▊   | 161/235 [00:06<00:03, 24.59it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▊   | 161/235 [00:06<00:03, 24.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▉   | 162/235 [00:06<00:02, 24.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▉   | 162/235 [00:06<00:02, 24.60it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▉   | 163/235 [00:06<00:02, 24.61it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  69%|██████▉   | 163/235 [00:06<00:02, 24.61it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  70%|██████▉   | 164/235 [00:06<00:02, 24.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  70%|██████▉   | 164/235 [00:06<00:02, 24.62it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  70%|███████   | 165/235 [00:06<00:02, 24.63it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  70%|███████   | 165/235 [00:06<00:02, 24.63it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████   | 166/235 [00:06<00:02, 24.64it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████   | 166/235 [00:06<00:02, 24.64it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████   | 167/235 [00:06<00:02, 24.65it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████   | 167/235 [00:06<00:02, 24.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████▏  | 168/235 [00:06<00:02, 24.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  71%|███████▏  | 168/235 [00:06<00:02, 24.66it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  72%|███████▏  | 169/235 [00:06<00:02, 24.67it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  72%|███████▏  | 169/235 [00:06<00:02, 24.67it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  72%|███████▏  | 170/235 [00:06<00:02, 24.68it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  72%|███████▏  | 170/235 [00:06<00:02, 24.68it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  73%|███████▎  | 171/235 [00:06<00:02, 24.69it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  73%|███████▎  | 171/235 [00:06<00:02, 24.69it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  73%|███████▎  | 172/235 [00:06<00:02, 24.70it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  73%|███████▎  | 172/235 [00:06<00:02, 24.69it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▎  | 173/235 [00:07<00:02, 24.70it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▎  | 173/235 [00:07<00:02, 24.70it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▍  | 174/235 [00:07<00:02, 24.71it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▍  | 174/235 [00:07<00:02, 24.71it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▍  | 175/235 [00:07<00:02, 24.72it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  74%|███████▍  | 175/235 [00:07<00:02, 24.72it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  75%|███████▍  | 176/235 [00:07<00:02, 24.73it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  75%|███████▍  | 176/235 [00:07<00:02, 24.73it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  75%|███████▌  | 177/235 [00:07<00:02, 24.74it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  75%|███████▌  | 177/235 [00:07<00:02, 24.74it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  76%|███████▌  | 178/235 [00:07<00:02, 24.75it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  76%|███████▌  | 178/235 [00:07<00:02, 24.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  76%|███████▌  | 179/235 [00:07<00:02, 24.76it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  76%|███████▌  | 179/235 [00:07<00:02, 24.76it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 180/235 [00:07<00:02, 24.78it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 180/235 [00:07<00:02, 24.78it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 181/235 [00:07<00:02, 24.81it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 181/235 [00:07<00:02, 24.81it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 182/235 [00:07<00:02, 24.83it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  77%|███████▋  | 182/235 [00:07<00:02, 24.83it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  78%|███████▊  | 183/235 [00:07<00:02, 24.83it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  78%|███████▊  | 183/235 [00:07<00:02, 24.83it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  78%|███████▊  | 184/235 [00:07<00:02, 24.84it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  78%|███████▊  | 184/235 [00:07<00:02, 24.84it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  79%|███████▊  | 185/235 [00:07<00:02, 24.85it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  79%|███████▊  | 185/235 [00:07<00:02, 24.85it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  79%|███████▉  | 186/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  79%|███████▉  | 186/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|███████▉  | 187/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|███████▉  | 187/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|████████  | 188/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|████████  | 188/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|████████  | 189/235 [00:07<00:01, 24.85it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  80%|████████  | 189/235 [00:07<00:01, 24.85it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  81%|████████  | 190/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  81%|████████  | 190/235 [00:07<00:01, 24.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  81%|████████▏ | 191/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  81%|████████▏ | 191/235 [00:07<00:01, 24.86it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  82%|████████▏ | 192/235 [00:07<00:01, 24.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  82%|████████▏ | 192/235 [00:07<00:01, 24.87it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  82%|████████▏ | 193/235 [00:07<00:01, 24.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  82%|████████▏ | 193/235 [00:07<00:01, 24.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 194/235 [00:07<00:01, 24.92it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 194/235 [00:07<00:01, 24.91it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 195/235 [00:07<00:01, 24.93it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 195/235 [00:07<00:01, 24.93it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 196/235 [00:07<00:01, 24.94it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  83%|████████▎ | 196/235 [00:07<00:01, 24.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  84%|████████▍ | 197/235 [00:07<00:01, 24.96it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  84%|████████▍ | 197/235 [00:07<00:01, 24.96it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  84%|████████▍ | 198/235 [00:07<00:01, 24.98it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  84%|████████▍ | 198/235 [00:07<00:01, 24.98it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  85%|████████▍ | 199/235 [00:07<00:01, 25.01it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  85%|████████▍ | 199/235 [00:07<00:01, 25.01it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  85%|████████▌ | 200/235 [00:07<00:01, 25.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  85%|████████▌ | 200/235 [00:07<00:01, 25.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▌ | 201/235 [00:08<00:01, 25.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▌ | 201/235 [00:08<00:01, 25.05it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▌ | 202/235 [00:08<00:01, 25.07it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▌ | 202/235 [00:08<00:01, 25.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▋ | 203/235 [00:08<00:01, 25.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  86%|████████▋ | 203/235 [00:08<00:01, 25.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  87%|████████▋ | 204/235 [00:08<00:01, 25.08it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  87%|████████▋ | 204/235 [00:08<00:01, 25.07it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  87%|████████▋ | 205/235 [00:08<00:01, 25.08it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  87%|████████▋ | 205/235 [00:08<00:01, 25.08it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  88%|████████▊ | 206/235 [00:08<00:01, 25.09it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  88%|████████▊ | 206/235 [00:08<00:01, 25.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  88%|████████▊ | 207/235 [00:08<00:01, 25.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  88%|████████▊ | 207/235 [00:08<00:01, 25.09it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▊ | 208/235 [00:08<00:01, 25.10it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▊ | 208/235 [00:08<00:01, 25.10it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▉ | 209/235 [00:08<00:01, 25.11it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▉ | 209/235 [00:08<00:01, 25.10it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▉ | 210/235 [00:08<00:00, 25.11it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  89%|████████▉ | 210/235 [00:08<00:00, 25.11it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  90%|████████▉ | 211/235 [00:08<00:00, 25.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  90%|████████▉ | 211/235 [00:08<00:00, 25.13it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  90%|█████████ | 212/235 [00:08<00:00, 25.14it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  90%|█████████ | 212/235 [00:08<00:00, 25.14it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████ | 213/235 [00:08<00:00, 25.17it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████ | 213/235 [00:08<00:00, 25.17it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████ | 214/235 [00:08<00:00, 25.18it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████ | 214/235 [00:08<00:00, 25.18it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████▏| 215/235 [00:08<00:00, 25.20it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  91%|█████████▏| 215/235 [00:08<00:00, 25.20it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  92%|█████████▏| 216/235 [00:08<00:00, 25.25it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  92%|█████████▏| 216/235 [00:08<00:00, 25.25it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  92%|█████████▏| 217/235 [00:08<00:00, 25.29it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  92%|█████████▏| 217/235 [00:08<00:00, 25.29it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  93%|█████████▎| 218/235 [00:08<00:00, 25.33it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  93%|█████████▎| 218/235 [00:08<00:00, 25.33it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  93%|█████████▎| 219/235 [00:08<00:00, 25.38it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  93%|█████████▎| 219/235 [00:08<00:00, 25.38it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▎| 220/235 [00:08<00:00, 25.42it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▎| 220/235 [00:08<00:00, 25.42it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▍| 221/235 [00:08<00:00, 25.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▍| 221/235 [00:08<00:00, 25.46it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▍| 222/235 [00:08<00:00, 25.51it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  94%|█████████▍| 222/235 [00:08<00:00, 25.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  95%|█████████▍| 223/235 [00:08<00:00, 25.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  95%|█████████▍| 223/235 [00:08<00:00, 25.55it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  95%|█████████▌| 224/235 [00:08<00:00, 25.60it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  95%|█████████▌| 224/235 [00:08<00:00, 25.59it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  96%|█████████▌| 225/235 [00:08<00:00, 25.64it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  96%|█████████▌| 225/235 [00:08<00:00, 25.64it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  96%|█████████▌| 226/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  96%|█████████▌| 226/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 227/235 [00:08<00:00, 25.72it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 227/235 [00:08<00:00, 25.72it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 228/235 [00:08<00:00, 25.76it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 228/235 [00:08<00:00, 25.76it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 229/235 [00:08<00:00, 25.80it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  97%|█████████▋| 229/235 [00:08<00:00, 25.80it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  98%|█████████▊| 230/235 [00:08<00:00, 25.85it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  98%|█████████▊| 230/235 [00:08<00:00, 25.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  98%|█████████▊| 231/235 [00:08<00:00, 25.89it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  98%|█████████▊| 231/235 [00:08<00:00, 25.88it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  99%|█████████▊| 232/235 [00:08<00:00, 25.93it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  99%|█████████▊| 232/235 [00:08<00:00, 25.93it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  99%|█████████▉| 233/235 [00:08<00:00, 25.97it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3:  99%|█████████▉| 233/235 [00:08<00:00, 25.97it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3: 100%|█████████▉| 234/235 [00:08<00:00, 26.01it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3: 100%|█████████▉| 234/235 [00:08<00:00, 26.01it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3: 100%|██████████| 235/235 [00:09<00:00, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]
Epoch 3: 100%|██████████| 235/235 [00:09<00:00, 26.04it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.946, f1/val=0.946, precision/val=0.946, recall/val=0.946]

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Epoch 3: 100%|██████████| 235/235 [00:10<00:00, 22.78it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 3: 100%|██████████| 235/235 [00:10<00:00, 22.78it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 3:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   0%|          | 1/235 [00:00<02:47,  1.40it/s, v_num=16, acc1/train=0.958, f1/train=0.958, precision/train=0.958, recall/train=0.958, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   0%|          | 1/235 [00:00<02:47,  1.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   1%|          | 2/235 [00:00<01:28,  2.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   1%|          | 2/235 [00:00<01:28,  2.63it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   1%|▏         | 3/235 [00:00<01:01,  3.76it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   1%|▏         | 3/235 [00:00<01:01,  3.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   2%|▏         | 4/235 [00:00<00:48,  4.78it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   2%|▏         | 4/235 [00:00<00:48,  4.77it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   2%|▏         | 5/235 [00:00<00:40,  5.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   2%|▏         | 5/235 [00:00<00:40,  5.71it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 6/235 [00:00<00:34,  6.58it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 6/235 [00:00<00:34,  6.57it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 7/235 [00:00<00:30,  7.38it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 7/235 [00:00<00:30,  7.37it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 8/235 [00:00<00:27,  8.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   3%|▎         | 8/235 [00:00<00:27,  8.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   4%|▍         | 9/235 [00:01<00:25,  8.78it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   4%|▍         | 9/235 [00:01<00:25,  8.77it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   4%|▍         | 10/235 [00:01<00:23,  9.42it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   4%|▍         | 10/235 [00:01<00:23,  9.41it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   5%|▍         | 11/235 [00:01<00:22,  9.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   5%|▍         | 11/235 [00:01<00:22,  9.99it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   5%|▌         | 12/235 [00:01<00:21, 10.56it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   5%|▌         | 12/235 [00:01<00:21, 10.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▌         | 13/235 [00:01<00:19, 11.14it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▌         | 13/235 [00:01<00:19, 11.14it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▌         | 14/235 [00:01<00:18, 11.67it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▌         | 14/235 [00:01<00:18, 11.66it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▋         | 15/235 [00:01<00:18, 12.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   6%|▋         | 15/235 [00:01<00:18, 12.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   7%|▋         | 16/235 [00:01<00:17, 12.58it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   7%|▋         | 16/235 [00:01<00:17, 12.58it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   7%|▋         | 17/235 [00:01<00:16, 13.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   7%|▋         | 17/235 [00:01<00:16, 13.04it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   8%|▊         | 18/235 [00:01<00:16, 13.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   8%|▊         | 18/235 [00:01<00:16, 13.47it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   8%|▊         | 19/235 [00:01<00:15, 13.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   8%|▊         | 19/235 [00:01<00:15, 13.88it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▊         | 20/235 [00:01<00:15, 14.26it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▊         | 20/235 [00:01<00:15, 14.25it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▉         | 21/235 [00:01<00:14, 14.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▉         | 21/235 [00:01<00:14, 14.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▉         | 22/235 [00:01<00:14, 14.99it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   9%|▉         | 22/235 [00:01<00:14, 14.99it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  10%|▉         | 23/235 [00:01<00:13, 15.34it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  10%|▉         | 23/235 [00:01<00:13, 15.33it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  10%|█         | 24/235 [00:01<00:13, 15.65it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  10%|█         | 24/235 [00:01<00:13, 15.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█         | 25/235 [00:01<00:13, 15.89it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█         | 25/235 [00:01<00:13, 15.89it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█         | 26/235 [00:01<00:12, 16.08it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█         | 26/235 [00:01<00:13, 16.08it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█▏        | 27/235 [00:01<00:12, 16.38it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  11%|█▏        | 27/235 [00:01<00:12, 16.37it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  12%|█▏        | 28/235 [00:01<00:12, 16.63it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  12%|█▏        | 28/235 [00:01<00:12, 16.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  12%|█▏        | 29/235 [00:01<00:12, 16.90it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  12%|█▏        | 29/235 [00:01<00:12, 16.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  13%|█▎        | 30/235 [00:01<00:11, 17.14it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  13%|█▎        | 30/235 [00:01<00:11, 17.13it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  13%|█▎        | 31/235 [00:01<00:11, 17.39it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  13%|█▎        | 31/235 [00:01<00:11, 17.38it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▎        | 32/235 [00:01<00:11, 17.60it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▎        | 32/235 [00:01<00:11, 17.60it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▍        | 33/235 [00:01<00:11, 17.84it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▍        | 33/235 [00:01<00:11, 17.83it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▍        | 34/235 [00:01<00:11, 18.04it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  14%|█▍        | 34/235 [00:01<00:11, 18.03it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  15%|█▍        | 35/235 [00:01<00:10, 18.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  15%|█▍        | 35/235 [00:01<00:10, 18.26it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  15%|█▌        | 36/235 [00:01<00:10, 18.44it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  15%|█▌        | 36/235 [00:01<00:10, 18.44it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  16%|█▌        | 37/235 [00:01<00:10, 18.65it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  16%|█▌        | 37/235 [00:01<00:10, 18.65it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  16%|█▌        | 38/235 [00:02<00:10, 18.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  16%|█▌        | 38/235 [00:02<00:10, 18.83it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 39/235 [00:02<00:10, 19.03it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 39/235 [00:02<00:10, 19.02it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 40/235 [00:02<00:10, 19.19it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 40/235 [00:02<00:10, 19.19it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 41/235 [00:02<00:10, 19.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  17%|█▋        | 41/235 [00:02<00:10, 19.34it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  18%|█▊        | 42/235 [00:02<00:09, 19.53it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  18%|█▊        | 42/235 [00:02<00:09, 19.52it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  18%|█▊        | 43/235 [00:02<00:09, 19.68it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  18%|█▊        | 43/235 [00:02<00:09, 19.68it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  19%|█▊        | 44/235 [00:02<00:09, 19.85it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  19%|█▊        | 44/235 [00:02<00:09, 19.85it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  19%|█▉        | 45/235 [00:02<00:09, 19.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  19%|█▉        | 45/235 [00:02<00:09, 19.96it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|█▉        | 46/235 [00:02<00:09, 20.06it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|█▉        | 46/235 [00:02<00:09, 20.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|██        | 47/235 [00:02<00:09, 20.17it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|██        | 47/235 [00:02<00:09, 20.16it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|██        | 48/235 [00:02<00:09, 20.27it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  20%|██        | 48/235 [00:02<00:09, 20.26it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  21%|██        | 49/235 [00:02<00:09, 20.36it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  21%|██        | 49/235 [00:02<00:09, 20.35it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  21%|██▏       | 50/235 [00:02<00:09, 20.45it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  21%|██▏       | 50/235 [00:02<00:09, 20.45it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  22%|██▏       | 51/235 [00:02<00:08, 20.54it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  22%|██▏       | 51/235 [00:02<00:08, 20.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  22%|██▏       | 52/235 [00:02<00:08, 20.63it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  22%|██▏       | 52/235 [00:02<00:08, 20.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 53/235 [00:02<00:08, 20.72it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 53/235 [00:02<00:08, 20.71it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 54/235 [00:02<00:08, 20.80it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 54/235 [00:02<00:08, 20.79it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 55/235 [00:02<00:08, 20.87it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  23%|██▎       | 55/235 [00:02<00:08, 20.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  24%|██▍       | 56/235 [00:02<00:08, 20.95it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  24%|██▍       | 56/235 [00:02<00:08, 20.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  24%|██▍       | 57/235 [00:02<00:08, 21.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  24%|██▍       | 57/235 [00:02<00:08, 21.02it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  25%|██▍       | 58/235 [00:02<00:08, 21.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  25%|██▍       | 58/235 [00:02<00:08, 21.09it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  25%|██▌       | 59/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  25%|██▌       | 59/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▌       | 60/235 [00:02<00:08, 21.23it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▌       | 60/235 [00:02<00:08, 21.23it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▌       | 61/235 [00:02<00:08, 21.35it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▌       | 61/235 [00:02<00:08, 21.35it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▋       | 62/235 [00:02<00:08, 21.45it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  26%|██▋       | 62/235 [00:02<00:08, 21.44it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  27%|██▋       | 63/235 [00:02<00:07, 21.52it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  27%|██▋       | 63/235 [00:02<00:07, 21.52it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  27%|██▋       | 64/235 [00:02<00:07, 21.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  27%|██▋       | 64/235 [00:02<00:07, 21.62it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  28%|██▊       | 65/235 [00:02<00:07, 21.71it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  28%|██▊       | 65/235 [00:02<00:07, 21.70it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  28%|██▊       | 66/235 [00:03<00:07, 21.76it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  28%|██▊       | 66/235 [00:03<00:07, 21.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▊       | 67/235 [00:03<00:07, 21.82it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▊       | 67/235 [00:03<00:07, 21.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▉       | 68/235 [00:03<00:07, 21.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▉       | 68/235 [00:03<00:07, 21.87it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▉       | 69/235 [00:03<00:07, 21.91it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  29%|██▉       | 69/235 [00:03<00:07, 21.90it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  30%|██▉       | 70/235 [00:03<00:07, 21.93it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  30%|██▉       | 70/235 [00:03<00:07, 21.92it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  30%|███       | 71/235 [00:03<00:07, 21.95it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  30%|███       | 71/235 [00:03<00:07, 21.94it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███       | 72/235 [00:03<00:07, 22.00it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███       | 72/235 [00:03<00:07, 21.99it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███       | 73/235 [00:03<00:07, 22.04it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███       | 73/235 [00:03<00:07, 22.04it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███▏      | 74/235 [00:03<00:07, 22.09it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  31%|███▏      | 74/235 [00:03<00:07, 22.09it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  32%|███▏      | 75/235 [00:03<00:07, 22.13it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  32%|███▏      | 75/235 [00:03<00:07, 22.13it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  32%|███▏      | 76/235 [00:03<00:07, 22.18it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  32%|███▏      | 76/235 [00:03<00:07, 22.17it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  33%|███▎      | 77/235 [00:03<00:07, 22.25it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  33%|███▎      | 77/235 [00:03<00:07, 22.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  33%|███▎      | 78/235 [00:03<00:07, 22.33it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  33%|███▎      | 78/235 [00:03<00:07, 22.33it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▎      | 79/235 [00:03<00:06, 22.39it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▎      | 79/235 [00:03<00:06, 22.39it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▍      | 80/235 [00:03<00:06, 22.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▍      | 80/235 [00:03<00:06, 22.47it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▍      | 81/235 [00:03<00:06, 22.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  34%|███▍      | 81/235 [00:03<00:06, 22.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  35%|███▍      | 82/235 [00:03<00:06, 22.60it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  35%|███▍      | 82/235 [00:03<00:06, 22.60it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  35%|███▌      | 83/235 [00:03<00:06, 22.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  35%|███▌      | 83/235 [00:03<00:06, 22.60it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  36%|███▌      | 84/235 [00:03<00:06, 22.69it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  36%|███▌      | 84/235 [00:03<00:06, 22.69it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  36%|███▌      | 85/235 [00:03<00:06, 22.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  36%|███▌      | 85/235 [00:03<00:06, 22.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 86/235 [00:03<00:06, 22.79it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 86/235 [00:03<00:06, 22.79it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 87/235 [00:03<00:06, 22.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 87/235 [00:03<00:06, 22.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 88/235 [00:03<00:06, 22.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  37%|███▋      | 88/235 [00:03<00:06, 22.90it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  38%|███▊      | 89/235 [00:03<00:06, 22.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  38%|███▊      | 89/235 [00:03<00:06, 22.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  38%|███▊      | 90/235 [00:03<00:06, 23.00it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  38%|███▊      | 90/235 [00:03<00:06, 22.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  39%|███▊      | 91/235 [00:03<00:06, 23.05it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  39%|███▊      | 91/235 [00:03<00:06, 23.05it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  39%|███▉      | 92/235 [00:03<00:06, 23.10it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  39%|███▉      | 92/235 [00:03<00:06, 23.10it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|███▉      | 93/235 [00:04<00:06, 23.17it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|███▉      | 93/235 [00:04<00:06, 23.17it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|████      | 94/235 [00:04<00:06, 23.21it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|████      | 94/235 [00:04<00:06, 23.20it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|████      | 95/235 [00:04<00:06, 23.27it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  40%|████      | 95/235 [00:04<00:06, 23.27it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  41%|████      | 96/235 [00:04<00:05, 23.32it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  41%|████      | 96/235 [00:04<00:05, 23.32it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  41%|████▏     | 97/235 [00:04<00:05, 23.38it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  41%|████▏     | 97/235 [00:04<00:05, 23.37it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  42%|████▏     | 98/235 [00:04<00:05, 23.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  42%|████▏     | 98/235 [00:04<00:05, 23.42it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  42%|████▏     | 99/235 [00:04<00:05, 23.49it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  42%|████▏     | 99/235 [00:04<00:05, 23.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 100/235 [00:04<00:05, 23.54it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 100/235 [00:04<00:05, 23.54it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 101/235 [00:04<00:05, 23.59it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 101/235 [00:04<00:05, 23.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 102/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  43%|████▎     | 102/235 [00:04<00:05, 23.60it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  44%|████▍     | 103/235 [00:04<00:05, 23.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  44%|████▍     | 103/235 [00:04<00:05, 23.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  44%|████▍     | 104/235 [00:04<00:05, 23.71it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  44%|████▍     | 104/235 [00:04<00:05, 23.71it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  45%|████▍     | 105/235 [00:04<00:05, 23.75it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  45%|████▍     | 105/235 [00:04<00:05, 23.75it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  45%|████▌     | 106/235 [00:04<00:05, 23.80it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  45%|████▌     | 106/235 [00:04<00:05, 23.80it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▌     | 107/235 [00:04<00:05, 23.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▌     | 107/235 [00:04<00:05, 23.84it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▌     | 108/235 [00:04<00:05, 23.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▌     | 108/235 [00:04<00:05, 23.82it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▋     | 109/235 [00:04<00:05, 23.84it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  46%|████▋     | 109/235 [00:04<00:05, 23.84it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  47%|████▋     | 110/235 [00:04<00:05, 23.86it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  47%|████▋     | 110/235 [00:04<00:05, 23.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  47%|████▋     | 111/235 [00:04<00:05, 23.87it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  47%|████▋     | 111/235 [00:04<00:05, 23.87it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  48%|████▊     | 112/235 [00:04<00:05, 23.91it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  48%|████▊     | 112/235 [00:04<00:05, 23.90it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  48%|████▊     | 113/235 [00:04<00:05, 23.92it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  48%|████▊     | 113/235 [00:04<00:05, 23.91it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▊     | 114/235 [00:04<00:05, 23.97it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▊     | 114/235 [00:04<00:05, 23.97it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▉     | 115/235 [00:04<00:04, 24.01it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▉     | 115/235 [00:04<00:04, 24.00it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▉     | 116/235 [00:04<00:04, 24.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  49%|████▉     | 116/235 [00:04<00:04, 24.05it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  50%|████▉     | 117/235 [00:04<00:04, 24.09it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  50%|████▉     | 117/235 [00:04<00:04, 24.08it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  50%|█████     | 118/235 [00:04<00:04, 24.13it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  50%|█████     | 118/235 [00:04<00:04, 24.13it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████     | 119/235 [00:04<00:04, 24.17it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████     | 119/235 [00:04<00:04, 24.17it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████     | 120/235 [00:04<00:04, 24.22it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████     | 120/235 [00:04<00:04, 24.22it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████▏    | 121/235 [00:04<00:04, 24.25it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  51%|█████▏    | 121/235 [00:04<00:04, 24.25it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  52%|█████▏    | 122/235 [00:05<00:04, 24.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  52%|█████▏    | 122/235 [00:05<00:04, 24.30it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  52%|█████▏    | 123/235 [00:05<00:04, 24.32it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  52%|█████▏    | 123/235 [00:05<00:04, 24.32it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  53%|█████▎    | 124/235 [00:05<00:04, 24.36it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  53%|█████▎    | 124/235 [00:05<00:04, 24.36it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  53%|█████▎    | 125/235 [00:05<00:04, 24.39it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  53%|█████▎    | 125/235 [00:05<00:04, 24.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▎    | 126/235 [00:05<00:04, 24.44it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▎    | 126/235 [00:05<00:04, 24.44it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▍    | 127/235 [00:05<00:04, 24.47it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▍    | 127/235 [00:05<00:04, 24.47it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▍    | 128/235 [00:05<00:04, 24.51it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  54%|█████▍    | 128/235 [00:05<00:04, 24.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  55%|█████▍    | 129/235 [00:05<00:04, 24.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  55%|█████▍    | 129/235 [00:05<00:04, 24.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  55%|█████▌    | 130/235 [00:05<00:04, 24.59it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  55%|█████▌    | 130/235 [00:05<00:04, 24.58it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  56%|█████▌    | 131/235 [00:05<00:04, 24.62it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  56%|█████▌    | 131/235 [00:05<00:04, 24.61it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  56%|█████▌    | 132/235 [00:05<00:04, 24.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  56%|█████▌    | 132/235 [00:05<00:04, 24.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 133/235 [00:05<00:04, 24.69it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 133/235 [00:05<00:04, 24.68it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 134/235 [00:05<00:04, 24.73it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 134/235 [00:05<00:04, 24.72it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 135/235 [00:05<00:04, 24.75it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  57%|█████▋    | 135/235 [00:05<00:04, 24.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  58%|█████▊    | 136/235 [00:05<00:03, 24.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  58%|█████▊    | 136/235 [00:05<00:03, 24.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  58%|█████▊    | 137/235 [00:05<00:03, 24.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  58%|█████▊    | 137/235 [00:05<00:03, 24.80it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  59%|█████▊    | 138/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  59%|█████▊    | 138/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  59%|█████▉    | 139/235 [00:05<00:03, 24.88it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  59%|█████▉    | 139/235 [00:05<00:03, 24.87it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|█████▉    | 140/235 [00:05<00:03, 24.91it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|█████▉    | 140/235 [00:05<00:03, 24.91it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|██████    | 141/235 [00:05<00:03, 24.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|██████    | 141/235 [00:05<00:03, 24.94it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|██████    | 142/235 [00:05<00:03, 24.97it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  60%|██████    | 142/235 [00:05<00:03, 24.97it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  61%|██████    | 143/235 [00:05<00:03, 24.99it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  61%|██████    | 143/235 [00:05<00:03, 24.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  61%|██████▏   | 144/235 [00:05<00:03, 25.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  61%|██████▏   | 144/235 [00:05<00:03, 25.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  62%|██████▏   | 145/235 [00:05<00:03, 25.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  62%|██████▏   | 145/235 [00:05<00:03, 25.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  62%|██████▏   | 146/235 [00:05<00:03, 25.08it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  62%|██████▏   | 146/235 [00:05<00:03, 25.08it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 147/235 [00:05<00:03, 25.08it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 147/235 [00:05<00:03, 25.08it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 148/235 [00:05<00:03, 25.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 148/235 [00:05<00:03, 25.11it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 149/235 [00:05<00:03, 25.14it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  63%|██████▎   | 149/235 [00:05<00:03, 25.13it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  64%|██████▍   | 150/235 [00:05<00:03, 25.17it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  64%|██████▍   | 150/235 [00:05<00:03, 25.16it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  64%|██████▍   | 151/235 [00:05<00:03, 25.19it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  64%|██████▍   | 151/235 [00:05<00:03, 25.19it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  65%|██████▍   | 152/235 [00:06<00:03, 25.22it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  65%|██████▍   | 152/235 [00:06<00:03, 25.22it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  65%|██████▌   | 153/235 [00:06<00:03, 25.24it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  65%|██████▌   | 153/235 [00:06<00:03, 25.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▌   | 154/235 [00:06<00:03, 25.27it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▌   | 154/235 [00:06<00:03, 25.27it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▌   | 155/235 [00:06<00:03, 25.29it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▌   | 155/235 [00:06<00:03, 25.29it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▋   | 156/235 [00:06<00:03, 25.33it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  66%|██████▋   | 156/235 [00:06<00:03, 25.32it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  67%|██████▋   | 157/235 [00:06<00:03, 25.35it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  67%|██████▋   | 157/235 [00:06<00:03, 25.34it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  67%|██████▋   | 158/235 [00:06<00:03, 25.38it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  67%|██████▋   | 158/235 [00:06<00:03, 25.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  68%|██████▊   | 159/235 [00:06<00:02, 25.40it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  68%|██████▊   | 159/235 [00:06<00:02, 25.40it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  68%|██████▊   | 160/235 [00:06<00:02, 25.43it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  68%|██████▊   | 160/235 [00:06<00:02, 25.43it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▊   | 161/235 [00:06<00:02, 25.45it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▊   | 161/235 [00:06<00:02, 25.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▉   | 162/235 [00:06<00:02, 25.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▉   | 162/235 [00:06<00:02, 25.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▉   | 163/235 [00:06<00:02, 25.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  69%|██████▉   | 163/235 [00:06<00:02, 25.50it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  70%|██████▉   | 164/235 [00:06<00:02, 25.53it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  70%|██████▉   | 164/235 [00:06<00:02, 25.53it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  70%|███████   | 165/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  70%|███████   | 165/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████   | 166/235 [00:06<00:02, 25.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████   | 166/235 [00:06<00:02, 25.58it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████   | 167/235 [00:06<00:02, 25.60it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████   | 167/235 [00:06<00:02, 25.59it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████▏  | 168/235 [00:06<00:02, 25.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  71%|███████▏  | 168/235 [00:06<00:02, 25.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  72%|███████▏  | 169/235 [00:06<00:02, 25.64it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  72%|███████▏  | 169/235 [00:06<00:02, 25.64it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  72%|███████▏  | 170/235 [00:06<00:02, 25.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  72%|███████▏  | 170/235 [00:06<00:02, 25.66it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  73%|███████▎  | 171/235 [00:06<00:02, 25.68it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  73%|███████▎  | 171/235 [00:06<00:02, 25.67it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  73%|███████▎  | 172/235 [00:06<00:02, 25.71it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  73%|███████▎  | 172/235 [00:06<00:02, 25.70it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▎  | 173/235 [00:06<00:02, 25.72it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▎  | 173/235 [00:06<00:02, 25.72it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▍  | 174/235 [00:06<00:02, 25.74it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▍  | 174/235 [00:06<00:02, 25.74it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▍  | 175/235 [00:06<00:02, 25.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  74%|███████▍  | 175/235 [00:06<00:02, 25.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  75%|███████▍  | 176/235 [00:06<00:02, 25.78it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  75%|███████▍  | 176/235 [00:06<00:02, 25.78it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  75%|███████▌  | 177/235 [00:06<00:02, 25.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  75%|███████▌  | 177/235 [00:06<00:02, 25.80it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  76%|███████▌  | 178/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  76%|███████▌  | 178/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  76%|███████▌  | 179/235 [00:06<00:02, 25.84it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  76%|███████▌  | 179/235 [00:06<00:02, 25.84it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 180/235 [00:06<00:02, 25.86it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 180/235 [00:06<00:02, 25.86it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 181/235 [00:06<00:02, 25.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 181/235 [00:06<00:02, 25.88it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 182/235 [00:07<00:02, 25.91it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  77%|███████▋  | 182/235 [00:07<00:02, 25.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  78%|███████▊  | 183/235 [00:07<00:02, 25.92it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  78%|███████▊  | 183/235 [00:07<00:02, 25.92it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  78%|███████▊  | 184/235 [00:07<00:01, 25.95it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  78%|███████▊  | 184/235 [00:07<00:01, 25.95it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  79%|███████▊  | 185/235 [00:07<00:01, 25.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  79%|███████▊  | 185/235 [00:07<00:01, 25.96it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  79%|███████▉  | 186/235 [00:07<00:01, 25.99it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  79%|███████▉  | 186/235 [00:07<00:01, 25.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|███████▉  | 187/235 [00:07<00:01, 26.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|███████▉  | 187/235 [00:07<00:01, 26.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|████████  | 188/235 [00:07<00:01, 26.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|████████  | 188/235 [00:07<00:01, 26.02it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|████████  | 189/235 [00:07<00:01, 26.04it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  80%|████████  | 189/235 [00:07<00:01, 26.04it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  81%|████████  | 190/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  81%|████████  | 190/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  81%|████████▏ | 191/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  81%|████████▏ | 191/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  82%|████████▏ | 192/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  82%|████████▏ | 192/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  82%|████████▏ | 193/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  82%|████████▏ | 193/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 194/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 194/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 195/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 195/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 196/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  83%|████████▎ | 196/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  84%|████████▍ | 197/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  84%|████████▍ | 197/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  84%|████████▍ | 198/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  84%|████████▍ | 198/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  85%|████████▍ | 199/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  85%|████████▍ | 199/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  85%|████████▌ | 200/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  85%|████████▌ | 200/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▌ | 201/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▌ | 201/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▌ | 202/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▌ | 202/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▋ | 203/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  86%|████████▋ | 203/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  87%|████████▋ | 204/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  87%|████████▋ | 204/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  87%|████████▋ | 205/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  87%|████████▋ | 205/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  88%|████████▊ | 206/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  88%|████████▊ | 206/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  88%|████████▊ | 207/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  88%|████████▊ | 207/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▊ | 208/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▊ | 208/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▉ | 209/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▉ | 209/235 [00:08<00:00, 26.06it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▉ | 210/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  89%|████████▉ | 210/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  90%|████████▉ | 211/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  90%|████████▉ | 211/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  90%|█████████ | 212/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  90%|█████████ | 212/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████ | 213/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████ | 213/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████ | 214/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████ | 214/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████▏| 215/235 [00:08<00:00, 26.06it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  91%|█████████▏| 215/235 [00:08<00:00, 26.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  92%|█████████▏| 216/235 [00:08<00:00, 26.11it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  92%|█████████▏| 216/235 [00:08<00:00, 26.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  92%|█████████▏| 217/235 [00:08<00:00, 26.15it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  92%|█████████▏| 217/235 [00:08<00:00, 26.15it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  93%|█████████▎| 218/235 [00:08<00:00, 26.19it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  93%|█████████▎| 218/235 [00:08<00:00, 26.19it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  93%|█████████▎| 219/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  93%|█████████▎| 219/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▎| 220/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▎| 220/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▍| 221/235 [00:08<00:00, 26.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▍| 221/235 [00:08<00:00, 26.32it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▍| 222/235 [00:08<00:00, 26.36it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  94%|█████████▍| 222/235 [00:08<00:00, 26.36it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  95%|█████████▍| 223/235 [00:08<00:00, 26.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  95%|█████████▍| 223/235 [00:08<00:00, 26.40it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  95%|█████████▌| 224/235 [00:08<00:00, 26.45it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  95%|█████████▌| 224/235 [00:08<00:00, 26.45it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  96%|█████████▌| 225/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  96%|█████████▌| 225/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  96%|█████████▌| 226/235 [00:08<00:00, 26.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  96%|█████████▌| 226/235 [00:08<00:00, 26.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 227/235 [00:08<00:00, 26.57it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 227/235 [00:08<00:00, 26.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 228/235 [00:08<00:00, 26.61it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 228/235 [00:08<00:00, 26.61it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 229/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  97%|█████████▋| 229/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  98%|█████████▊| 230/235 [00:08<00:00, 26.69it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  98%|█████████▊| 230/235 [00:08<00:00, 26.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  98%|█████████▊| 231/235 [00:08<00:00, 26.73it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  98%|█████████▊| 231/235 [00:08<00:00, 26.73it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  99%|█████████▊| 232/235 [00:08<00:00, 26.77it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  99%|█████████▊| 232/235 [00:08<00:00, 26.77it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  99%|█████████▉| 233/235 [00:08<00:00, 26.81it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:  99%|█████████▉| 233/235 [00:08<00:00, 26.81it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4: 100%|█████████▉| 234/235 [00:08<00:00, 26.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4: 100%|█████████▉| 234/235 [00:08<00:00, 26.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4: 100%|██████████| 235/235 [00:08<00:00, 26.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4: 100%|██████████| 235/235 [00:08<00:00, 26.89it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4: 100%|██████████| 235/235 [00:08<00:00, 26.89it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 4:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   0%|          | 1/235 [00:00<02:47,  1.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   0%|          | 1/235 [00:00<02:47,  1.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   1%|          | 2/235 [00:00<01:28,  2.64it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   1%|          | 2/235 [00:00<01:28,  2.63it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   1%|▏         | 3/235 [00:00<01:01,  3.76it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   1%|▏         | 3/235 [00:00<01:01,  3.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   2%|▏         | 4/235 [00:00<00:47,  4.83it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   2%|▏         | 4/235 [00:00<00:47,  4.83it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   2%|▏         | 5/235 [00:00<00:39,  5.78it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   2%|▏         | 5/235 [00:00<00:39,  5.78it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 6/235 [00:00<00:34,  6.64it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 6/235 [00:00<00:34,  6.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 7/235 [00:00<00:30,  7.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 7/235 [00:00<00:30,  7.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 8/235 [00:00<00:27,  8.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   3%|▎         | 8/235 [00:00<00:27,  8.17it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   4%|▍         | 9/235 [00:01<00:25,  8.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   4%|▍         | 9/235 [00:01<00:25,  8.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   4%|▍         | 10/235 [00:01<00:23,  9.50it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   4%|▍         | 10/235 [00:01<00:23,  9.50it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   5%|▍         | 11/235 [00:01<00:22, 10.07it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   5%|▍         | 11/235 [00:01<00:22, 10.06it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   5%|▌         | 12/235 [00:01<00:20, 10.63it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   5%|▌         | 12/235 [00:01<00:20, 10.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▌         | 13/235 [00:01<00:19, 11.14it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▌         | 13/235 [00:01<00:19, 11.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▌         | 14/235 [00:01<00:19, 11.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▌         | 14/235 [00:01<00:19, 11.60it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▋         | 15/235 [00:01<00:18, 12.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   6%|▋         | 15/235 [00:01<00:18, 12.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   7%|▋         | 16/235 [00:01<00:17, 12.49it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   7%|▋         | 16/235 [00:01<00:17, 12.48it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   7%|▋         | 17/235 [00:01<00:16, 12.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   7%|▋         | 17/235 [00:01<00:16, 12.89it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   8%|▊         | 18/235 [00:01<00:16, 13.28it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   8%|▊         | 18/235 [00:01<00:16, 13.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   8%|▊         | 19/235 [00:01<00:15, 13.64it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   8%|▊         | 19/235 [00:01<00:15, 13.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▊         | 20/235 [00:01<00:15, 13.98it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▊         | 20/235 [00:01<00:15, 13.98it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▉         | 21/235 [00:01<00:14, 14.30it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▉         | 21/235 [00:01<00:14, 14.30it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▉         | 22/235 [00:01<00:14, 14.60it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:   9%|▉         | 22/235 [00:01<00:14, 14.60it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  10%|▉         | 23/235 [00:01<00:14, 14.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  10%|▉         | 23/235 [00:01<00:14, 14.88it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  10%|█         | 24/235 [00:01<00:13, 15.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  10%|█         | 24/235 [00:01<00:13, 15.16it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█         | 25/235 [00:01<00:13, 15.43it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█         | 25/235 [00:01<00:13, 15.42it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█         | 26/235 [00:01<00:13, 15.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█         | 26/235 [00:01<00:13, 15.66it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█▏        | 27/235 [00:01<00:13, 15.90it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  11%|█▏        | 27/235 [00:01<00:13, 15.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  12%|█▏        | 28/235 [00:01<00:12, 16.13it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  12%|█▏        | 28/235 [00:01<00:12, 16.12it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  12%|█▏        | 29/235 [00:01<00:12, 16.35it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  12%|█▏        | 29/235 [00:01<00:12, 16.34it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  13%|█▎        | 30/235 [00:01<00:12, 16.55it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  13%|█▎        | 30/235 [00:01<00:12, 16.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  13%|█▎        | 31/235 [00:01<00:12, 16.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  13%|█▎        | 31/235 [00:01<00:12, 16.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▎        | 32/235 [00:01<00:11, 16.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▎        | 32/235 [00:01<00:11, 16.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▍        | 33/235 [00:01<00:11, 17.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▍        | 33/235 [00:01<00:11, 17.12it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▍        | 34/235 [00:01<00:11, 17.30it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  14%|█▍        | 34/235 [00:01<00:11, 17.30it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  15%|█▍        | 35/235 [00:02<00:11, 17.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  15%|█▍        | 35/235 [00:02<00:11, 17.47it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  15%|█▌        | 36/235 [00:02<00:11, 17.63it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  15%|█▌        | 36/235 [00:02<00:11, 17.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  16%|█▌        | 37/235 [00:02<00:11, 17.79it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  16%|█▌        | 37/235 [00:02<00:11, 17.79it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  16%|█▌        | 38/235 [00:02<00:10, 17.94it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  16%|█▌        | 38/235 [00:02<00:10, 17.94it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 39/235 [00:02<00:10, 18.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 39/235 [00:02<00:10, 18.09it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 40/235 [00:02<00:10, 18.23it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 40/235 [00:02<00:10, 18.23it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 41/235 [00:02<00:10, 18.37it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  17%|█▋        | 41/235 [00:02<00:10, 18.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  18%|█▊        | 42/235 [00:02<00:10, 18.57it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  18%|█▊        | 42/235 [00:02<00:10, 18.56it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  18%|█▊        | 43/235 [00:02<00:10, 18.73it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  18%|█▊        | 43/235 [00:02<00:10, 18.72it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  19%|█▊        | 44/235 [00:02<00:10, 18.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  19%|█▊        | 44/235 [00:02<00:10, 18.89it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  19%|█▉        | 45/235 [00:02<00:09, 19.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  19%|█▉        | 45/235 [00:02<00:09, 19.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|█▉        | 46/235 [00:02<00:09, 19.20it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|█▉        | 46/235 [00:02<00:09, 19.19it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|██        | 47/235 [00:02<00:09, 19.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|██        | 47/235 [00:02<00:09, 19.33it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|██        | 48/235 [00:02<00:09, 19.47it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  20%|██        | 48/235 [00:02<00:09, 19.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  21%|██        | 49/235 [00:02<00:09, 19.62it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  21%|██        | 49/235 [00:02<00:09, 19.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  21%|██▏       | 50/235 [00:02<00:09, 19.75it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  21%|██▏       | 50/235 [00:02<00:09, 19.75it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  22%|██▏       | 51/235 [00:02<00:09, 19.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  22%|██▏       | 51/235 [00:02<00:09, 19.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  22%|██▏       | 52/235 [00:02<00:09, 20.02it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  22%|██▏       | 52/235 [00:02<00:09, 20.01it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 53/235 [00:02<00:09, 20.13it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 53/235 [00:02<00:09, 20.13it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 54/235 [00:02<00:08, 20.26it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 54/235 [00:02<00:08, 20.26it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 55/235 [00:02<00:08, 20.38it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  23%|██▎       | 55/235 [00:02<00:08, 20.37it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  24%|██▍       | 56/235 [00:02<00:08, 20.50it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  24%|██▍       | 56/235 [00:02<00:08, 20.49it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  24%|██▍       | 57/235 [00:02<00:08, 20.61it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  24%|██▍       | 57/235 [00:02<00:08, 20.60it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  25%|██▍       | 58/235 [00:02<00:08, 20.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  25%|██▍       | 58/235 [00:02<00:08, 20.66it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  25%|██▌       | 59/235 [00:02<00:08, 20.77it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  25%|██▌       | 59/235 [00:02<00:08, 20.76it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▌       | 60/235 [00:02<00:08, 20.84it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▌       | 60/235 [00:02<00:08, 20.83it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▌       | 61/235 [00:02<00:08, 20.91it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▌       | 61/235 [00:02<00:08, 20.90it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▋       | 62/235 [00:02<00:08, 20.98it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  26%|██▋       | 62/235 [00:02<00:08, 20.97it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  27%|██▋       | 63/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  27%|██▋       | 63/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  27%|██▋       | 64/235 [00:03<00:08, 21.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  27%|██▋       | 64/235 [00:03<00:08, 21.10it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  28%|██▊       | 65/235 [00:03<00:08, 21.17it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  28%|██▊       | 65/235 [00:03<00:08, 21.17it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  28%|██▊       | 66/235 [00:03<00:07, 21.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  28%|██▊       | 66/235 [00:03<00:07, 21.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▊       | 67/235 [00:03<00:07, 21.36it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▊       | 67/235 [00:03<00:07, 21.36it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▉       | 68/235 [00:03<00:07, 21.44it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▉       | 68/235 [00:03<00:07, 21.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▉       | 69/235 [00:03<00:07, 21.54it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  29%|██▉       | 69/235 [00:03<00:07, 21.54it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  30%|██▉       | 70/235 [00:03<00:07, 21.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  30%|██▉       | 70/235 [00:03<00:07, 21.62it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  30%|███       | 71/235 [00:03<00:07, 21.72it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  30%|███       | 71/235 [00:03<00:07, 21.72it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███       | 72/235 [00:03<00:07, 21.80it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███       | 72/235 [00:03<00:07, 21.79it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███       | 73/235 [00:03<00:07, 21.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███       | 73/235 [00:03<00:07, 21.88it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███▏      | 74/235 [00:03<00:07, 21.96it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  31%|███▏      | 74/235 [00:03<00:07, 21.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  32%|███▏      | 75/235 [00:03<00:07, 22.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  32%|███▏      | 75/235 [00:03<00:07, 22.05it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  32%|███▏      | 76/235 [00:03<00:07, 22.11it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  32%|███▏      | 76/235 [00:03<00:07, 22.11it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  33%|███▎      | 77/235 [00:03<00:07, 22.20it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  33%|███▎      | 77/235 [00:03<00:07, 22.20it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  33%|███▎      | 78/235 [00:03<00:07, 22.27it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  33%|███▎      | 78/235 [00:03<00:07, 22.26it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▎      | 79/235 [00:03<00:06, 22.34it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▎      | 79/235 [00:03<00:06, 22.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▍      | 80/235 [00:03<00:06, 22.38it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▍      | 80/235 [00:03<00:06, 22.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▍      | 81/235 [00:03<00:06, 22.42it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  34%|███▍      | 81/235 [00:03<00:06, 22.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  35%|███▍      | 82/235 [00:03<00:06, 22.46it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  35%|███▍      | 82/235 [00:03<00:06, 22.46it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  35%|███▌      | 83/235 [00:03<00:06, 22.50it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  35%|███▌      | 83/235 [00:03<00:06, 22.50it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  36%|███▌      | 84/235 [00:03<00:06, 22.54it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  36%|███▌      | 84/235 [00:03<00:06, 22.54it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  36%|███▌      | 85/235 [00:03<00:06, 22.58it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  36%|███▌      | 85/235 [00:03<00:06, 22.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 86/235 [00:03<00:06, 22.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 86/235 [00:03<00:06, 22.62it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 87/235 [00:03<00:06, 22.66it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 87/235 [00:03<00:06, 22.65it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 88/235 [00:03<00:06, 22.69it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  37%|███▋      | 88/235 [00:03<00:06, 22.69it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  38%|███▊      | 89/235 [00:03<00:06, 22.73it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  38%|███▊      | 89/235 [00:03<00:06, 22.72it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  38%|███▊      | 90/235 [00:03<00:06, 22.76it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  38%|███▊      | 90/235 [00:03<00:06, 22.76it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  39%|███▊      | 91/235 [00:03<00:06, 22.79it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  39%|███▊      | 91/235 [00:03<00:06, 22.79it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  39%|███▉      | 92/235 [00:04<00:06, 22.87it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  39%|███▉      | 92/235 [00:04<00:06, 22.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|███▉      | 93/235 [00:04<00:06, 22.92it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|███▉      | 93/235 [00:04<00:06, 22.92it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|████      | 94/235 [00:04<00:06, 22.98it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|████      | 94/235 [00:04<00:06, 22.97it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|████      | 95/235 [00:04<00:06, 23.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  40%|████      | 95/235 [00:04<00:06, 23.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  41%|████      | 96/235 [00:04<00:06, 23.05it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  41%|████      | 96/235 [00:04<00:06, 23.05it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  41%|████▏     | 97/235 [00:04<00:05, 23.08it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  41%|████▏     | 97/235 [00:04<00:05, 23.08it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  42%|████▏     | 98/235 [00:04<00:05, 23.11it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  42%|████▏     | 98/235 [00:04<00:05, 23.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  42%|████▏     | 99/235 [00:04<00:05, 23.14it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  42%|████▏     | 99/235 [00:04<00:05, 23.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 100/235 [00:04<00:05, 23.16it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 100/235 [00:04<00:05, 23.16it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 101/235 [00:04<00:05, 23.19it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 101/235 [00:04<00:05, 23.19it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 102/235 [00:04<00:05, 23.22it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  43%|████▎     | 102/235 [00:04<00:05, 23.21it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  44%|████▍     | 103/235 [00:04<00:05, 23.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  44%|████▍     | 103/235 [00:04<00:05, 23.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  44%|████▍     | 104/235 [00:04<00:05, 23.27it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  44%|████▍     | 104/235 [00:04<00:05, 23.27it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  45%|████▍     | 105/235 [00:04<00:05, 23.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  45%|████▍     | 105/235 [00:04<00:05, 23.29it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  45%|████▌     | 106/235 [00:04<00:05, 23.32it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  45%|████▌     | 106/235 [00:04<00:05, 23.32it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▌     | 107/235 [00:04<00:05, 23.35it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▌     | 107/235 [00:04<00:05, 23.34it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▌     | 108/235 [00:04<00:05, 23.36it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▌     | 108/235 [00:04<00:05, 23.36it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▋     | 109/235 [00:04<00:05, 23.39it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  46%|████▋     | 109/235 [00:04<00:05, 23.39it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  47%|████▋     | 110/235 [00:04<00:05, 23.41it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  47%|████▋     | 110/235 [00:04<00:05, 23.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  47%|████▋     | 111/235 [00:04<00:05, 23.43it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  47%|████▋     | 111/235 [00:04<00:05, 23.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  48%|████▊     | 112/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  48%|████▊     | 112/235 [00:04<00:05, 23.46it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  48%|████▊     | 113/235 [00:04<00:05, 23.48it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  48%|████▊     | 113/235 [00:04<00:05, 23.48it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▊     | 114/235 [00:04<00:05, 23.52it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▊     | 114/235 [00:04<00:05, 23.52it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▉     | 115/235 [00:04<00:05, 23.57it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▉     | 115/235 [00:04<00:05, 23.57it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▉     | 116/235 [00:04<00:05, 23.61it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  49%|████▉     | 116/235 [00:04<00:05, 23.61it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  50%|████▉     | 117/235 [00:04<00:04, 23.65it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  50%|████▉     | 117/235 [00:04<00:04, 23.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  50%|█████     | 118/235 [00:04<00:04, 23.70it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  50%|█████     | 118/235 [00:04<00:04, 23.69it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████     | 119/235 [00:05<00:04, 23.73it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████     | 119/235 [00:05<00:04, 23.73it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████     | 120/235 [00:05<00:04, 23.78it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████     | 120/235 [00:05<00:04, 23.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████▏    | 121/235 [00:05<00:04, 23.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  51%|█████▏    | 121/235 [00:05<00:04, 23.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  52%|█████▏    | 122/235 [00:05<00:04, 23.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  52%|█████▏    | 122/235 [00:05<00:04, 23.86it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  52%|█████▏    | 123/235 [00:05<00:04, 23.90it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  52%|█████▏    | 123/235 [00:05<00:04, 23.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  53%|█████▎    | 124/235 [00:05<00:04, 23.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  53%|█████▎    | 124/235 [00:05<00:04, 23.94it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  53%|█████▎    | 125/235 [00:05<00:04, 23.98it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  53%|█████▎    | 125/235 [00:05<00:04, 23.98it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▎    | 126/235 [00:05<00:04, 24.02it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▎    | 126/235 [00:05<00:04, 24.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▍    | 127/235 [00:05<00:04, 24.04it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▍    | 127/235 [00:05<00:04, 24.04it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▍    | 128/235 [00:05<00:04, 24.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  54%|█████▍    | 128/235 [00:05<00:04, 24.09it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  55%|█████▍    | 129/235 [00:05<00:04, 24.12it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  55%|█████▍    | 129/235 [00:05<00:04, 24.12it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  55%|█████▌    | 130/235 [00:05<00:04, 24.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  55%|█████▌    | 130/235 [00:05<00:04, 24.16it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  56%|█████▌    | 131/235 [00:05<00:04, 24.17it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  56%|█████▌    | 131/235 [00:05<00:04, 24.17it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  56%|█████▌    | 132/235 [00:05<00:04, 24.21it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  56%|█████▌    | 132/235 [00:05<00:04, 24.21it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 133/235 [00:05<00:04, 24.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 133/235 [00:05<00:04, 24.23it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 134/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 134/235 [00:05<00:04, 24.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 135/235 [00:05<00:04, 24.31it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  57%|█████▋    | 135/235 [00:05<00:04, 24.31it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  58%|█████▊    | 136/235 [00:05<00:04, 24.35it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  58%|█████▊    | 136/235 [00:05<00:04, 24.35it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  58%|█████▊    | 137/235 [00:05<00:04, 24.38it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  58%|█████▊    | 137/235 [00:05<00:04, 24.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  59%|█████▊    | 138/235 [00:05<00:03, 24.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  59%|█████▊    | 138/235 [00:05<00:03, 24.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  59%|█████▉    | 139/235 [00:05<00:03, 24.45it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  59%|█████▉    | 139/235 [00:05<00:03, 24.44it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|█████▉    | 140/235 [00:05<00:03, 24.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|█████▉    | 140/235 [00:05<00:03, 24.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|██████    | 141/235 [00:05<00:03, 24.51it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|██████    | 141/235 [00:05<00:03, 24.51it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|██████    | 142/235 [00:05<00:03, 24.55it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  60%|██████    | 142/235 [00:05<00:03, 24.55it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  61%|██████    | 143/235 [00:05<00:03, 24.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  61%|██████    | 143/235 [00:05<00:03, 24.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  61%|██████▏   | 144/235 [00:05<00:03, 24.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  61%|██████▏   | 144/235 [00:05<00:03, 24.62it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  62%|██████▏   | 145/235 [00:05<00:03, 24.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  62%|██████▏   | 145/235 [00:05<00:03, 24.64it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  62%|██████▏   | 146/235 [00:05<00:03, 24.68it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  62%|██████▏   | 146/235 [00:05<00:03, 24.68it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 147/235 [00:05<00:03, 24.70it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 147/235 [00:05<00:03, 24.70it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 148/235 [00:05<00:03, 24.72it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 148/235 [00:05<00:03, 24.72it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 149/235 [00:06<00:03, 24.72it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  63%|██████▎   | 149/235 [00:06<00:03, 24.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  64%|██████▍   | 150/235 [00:06<00:03, 24.73it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  64%|██████▍   | 150/235 [00:06<00:03, 24.73it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  64%|██████▍   | 151/235 [00:06<00:03, 24.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  64%|██████▍   | 151/235 [00:06<00:03, 24.73it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  65%|██████▍   | 152/235 [00:06<00:03, 24.75it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  65%|██████▍   | 152/235 [00:06<00:03, 24.74it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  65%|██████▌   | 153/235 [00:06<00:03, 24.76it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  65%|██████▌   | 153/235 [00:06<00:03, 24.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▌   | 154/235 [00:06<00:03, 24.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▌   | 154/235 [00:06<00:03, 24.76it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▌   | 155/235 [00:06<00:03, 24.77it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▌   | 155/235 [00:06<00:03, 24.77it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▋   | 156/235 [00:06<00:03, 24.78it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  66%|██████▋   | 156/235 [00:06<00:03, 24.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  67%|██████▋   | 157/235 [00:06<00:03, 24.79it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  67%|██████▋   | 157/235 [00:06<00:03, 24.79it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  67%|██████▋   | 158/235 [00:06<00:03, 24.80it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  67%|██████▋   | 158/235 [00:06<00:03, 24.80it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  68%|██████▊   | 159/235 [00:06<00:03, 24.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  68%|██████▊   | 159/235 [00:06<00:03, 24.81it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  68%|██████▊   | 160/235 [00:06<00:03, 24.82it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  68%|██████▊   | 160/235 [00:06<00:03, 24.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▊   | 161/235 [00:06<00:02, 24.82it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▊   | 161/235 [00:06<00:02, 24.82it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▉   | 162/235 [00:06<00:02, 24.83it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▉   | 162/235 [00:06<00:02, 24.83it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▉   | 163/235 [00:06<00:02, 24.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  69%|██████▉   | 163/235 [00:06<00:02, 24.84it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  70%|██████▉   | 164/235 [00:06<00:02, 24.85it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  70%|██████▉   | 164/235 [00:06<00:02, 24.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  70%|███████   | 165/235 [00:06<00:02, 24.86it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  70%|███████   | 165/235 [00:06<00:02, 24.86it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████   | 166/235 [00:06<00:02, 24.87it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████   | 166/235 [00:06<00:02, 24.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████   | 167/235 [00:06<00:02, 24.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████   | 167/235 [00:06<00:02, 24.87it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████▏  | 168/235 [00:06<00:02, 24.88it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  71%|███████▏  | 168/235 [00:06<00:02, 24.88it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  72%|███████▏  | 169/235 [00:06<00:02, 24.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  72%|███████▏  | 169/235 [00:06<00:02, 24.89it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  72%|███████▏  | 170/235 [00:06<00:02, 24.90it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  72%|███████▏  | 170/235 [00:06<00:02, 24.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  73%|███████▎  | 171/235 [00:06<00:02, 24.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  73%|███████▎  | 171/235 [00:06<00:02, 24.91it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  73%|███████▎  | 172/235 [00:06<00:02, 24.91it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  73%|███████▎  | 172/235 [00:06<00:02, 24.91it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▎  | 173/235 [00:06<00:02, 24.92it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▎  | 173/235 [00:06<00:02, 24.92it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▍  | 174/235 [00:06<00:02, 24.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▍  | 174/235 [00:06<00:02, 24.93it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▍  | 175/235 [00:07<00:02, 24.93it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  74%|███████▍  | 175/235 [00:07<00:02, 24.93it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  75%|███████▍  | 176/235 [00:07<00:02, 24.97it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  75%|███████▍  | 176/235 [00:07<00:02, 24.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  75%|███████▌  | 177/235 [00:07<00:02, 24.98it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  75%|███████▌  | 177/235 [00:07<00:02, 24.98it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  76%|███████▌  | 178/235 [00:07<00:02, 25.00it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  76%|███████▌  | 178/235 [00:07<00:02, 25.00it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  76%|███████▌  | 179/235 [00:07<00:02, 25.00it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  76%|███████▌  | 179/235 [00:07<00:02, 25.00it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 180/235 [00:07<00:02, 25.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 180/235 [00:07<00:02, 25.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 181/235 [00:07<00:02, 25.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 181/235 [00:07<00:02, 25.02it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 182/235 [00:07<00:02, 25.04it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  77%|███████▋  | 182/235 [00:07<00:02, 25.04it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  78%|███████▊  | 183/235 [00:07<00:02, 25.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  78%|███████▊  | 183/235 [00:07<00:02, 25.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  78%|███████▊  | 184/235 [00:07<00:02, 25.08it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  78%|███████▊  | 184/235 [00:07<00:02, 25.08it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  79%|███████▊  | 185/235 [00:07<00:01, 25.11it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  79%|███████▊  | 185/235 [00:07<00:01, 25.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  79%|███████▉  | 186/235 [00:07<00:01, 25.13it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  79%|███████▉  | 186/235 [00:07<00:01, 25.13it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|███████▉  | 187/235 [00:07<00:01, 25.15it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|███████▉  | 187/235 [00:07<00:01, 25.14it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|████████  | 188/235 [00:07<00:01, 25.17it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|████████  | 188/235 [00:07<00:01, 25.17it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|████████  | 189/235 [00:07<00:01, 25.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  80%|████████  | 189/235 [00:07<00:01, 25.18it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  81%|████████  | 190/235 [00:07<00:01, 25.21it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  81%|████████  | 190/235 [00:07<00:01, 25.21it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  81%|████████▏ | 191/235 [00:07<00:01, 25.23it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  81%|████████▏ | 191/235 [00:07<00:01, 25.23it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  82%|████████▏ | 192/235 [00:07<00:01, 25.26it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  82%|████████▏ | 192/235 [00:07<00:01, 25.25it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  82%|████████▏ | 193/235 [00:07<00:01, 25.27it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  82%|████████▏ | 193/235 [00:07<00:01, 25.27it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 194/235 [00:07<00:01, 25.28it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 194/235 [00:07<00:01, 25.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 195/235 [00:07<00:01, 25.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 195/235 [00:07<00:01, 25.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 196/235 [00:07<00:01, 25.29it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  83%|████████▎ | 196/235 [00:07<00:01, 25.29it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  84%|████████▍ | 197/235 [00:07<00:01, 25.30it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  84%|████████▍ | 197/235 [00:07<00:01, 25.29it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  84%|████████▍ | 198/235 [00:07<00:01, 25.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  84%|████████▍ | 198/235 [00:07<00:01, 25.30it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  85%|████████▍ | 199/235 [00:07<00:01, 25.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  85%|████████▍ | 199/235 [00:07<00:01, 25.30it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  85%|████████▌ | 200/235 [00:07<00:01, 25.31it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  85%|████████▌ | 200/235 [00:07<00:01, 25.31it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▌ | 201/235 [00:07<00:01, 25.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▌ | 201/235 [00:07<00:01, 25.34it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▌ | 202/235 [00:07<00:01, 25.36it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▌ | 202/235 [00:07<00:01, 25.36it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▋ | 203/235 [00:07<00:01, 25.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  86%|████████▋ | 203/235 [00:07<00:01, 25.38it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  87%|████████▋ | 204/235 [00:08<00:01, 25.40it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  87%|████████▋ | 204/235 [00:08<00:01, 25.40it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  87%|████████▋ | 205/235 [00:08<00:01, 25.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  87%|████████▋ | 205/235 [00:08<00:01, 25.42it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  88%|████████▊ | 206/235 [00:08<00:01, 25.44it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  88%|████████▊ | 206/235 [00:08<00:01, 25.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  88%|████████▊ | 207/235 [00:08<00:01, 25.46it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  88%|████████▊ | 207/235 [00:08<00:01, 25.46it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▊ | 208/235 [00:08<00:01, 25.48it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▊ | 208/235 [00:08<00:01, 25.48it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▉ | 209/235 [00:08<00:01, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▉ | 209/235 [00:08<00:01, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▉ | 210/235 [00:08<00:00, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  89%|████████▉ | 210/235 [00:08<00:00, 25.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  90%|████████▉ | 211/235 [00:08<00:00, 25.51it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  90%|████████▉ | 211/235 [00:08<00:00, 25.51it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  90%|█████████ | 212/235 [00:08<00:00, 25.53it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  90%|█████████ | 212/235 [00:08<00:00, 25.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████ | 213/235 [00:08<00:00, 25.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████ | 213/235 [00:08<00:00, 25.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████ | 214/235 [00:08<00:00, 25.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████ | 214/235 [00:08<00:00, 25.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████▏| 215/235 [00:08<00:00, 25.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  91%|█████████▏| 215/235 [00:08<00:00, 25.56it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  92%|█████████▏| 216/235 [00:08<00:00, 25.61it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  92%|█████████▏| 216/235 [00:08<00:00, 25.61it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  92%|█████████▏| 217/235 [00:08<00:00, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  92%|█████████▏| 217/235 [00:08<00:00, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  93%|█████████▎| 218/235 [00:08<00:00, 25.70it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  93%|█████████▎| 218/235 [00:08<00:00, 25.69it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  93%|█████████▎| 219/235 [00:08<00:00, 25.74it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  93%|█████████▎| 219/235 [00:08<00:00, 25.74it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▎| 220/235 [00:08<00:00, 25.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▎| 220/235 [00:08<00:00, 25.78it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▍| 221/235 [00:08<00:00, 25.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▍| 221/235 [00:08<00:00, 25.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▍| 222/235 [00:08<00:00, 25.87it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  94%|█████████▍| 222/235 [00:08<00:00, 25.87it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  95%|█████████▍| 223/235 [00:08<00:00, 25.91it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  95%|█████████▍| 223/235 [00:08<00:00, 25.91it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  95%|█████████▌| 224/235 [00:08<00:00, 25.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  95%|█████████▌| 224/235 [00:08<00:00, 25.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  96%|█████████▌| 225/235 [00:08<00:00, 26.00it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  96%|█████████▌| 225/235 [00:08<00:00, 25.99it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  96%|█████████▌| 226/235 [00:08<00:00, 26.04it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  96%|█████████▌| 226/235 [00:08<00:00, 26.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 227/235 [00:08<00:00, 26.08it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 227/235 [00:08<00:00, 26.08it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 228/235 [00:08<00:00, 26.12it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 228/235 [00:08<00:00, 26.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 229/235 [00:08<00:00, 26.16it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  97%|█████████▋| 229/235 [00:08<00:00, 26.16it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  98%|█████████▊| 230/235 [00:08<00:00, 26.20it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  98%|█████████▊| 230/235 [00:08<00:00, 26.20it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  98%|█████████▊| 231/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  98%|█████████▊| 231/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  99%|█████████▊| 232/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  99%|█████████▊| 232/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  99%|█████████▉| 233/235 [00:08<00:00, 26.33it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5:  99%|█████████▉| 233/235 [00:08<00:00, 26.32it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5: 100%|█████████▉| 234/235 [00:08<00:00, 26.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5: 100%|█████████▉| 234/235 [00:08<00:00, 26.36it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5: 100%|██████████| 235/235 [00:08<00:00, 26.41it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]
Epoch 5: 100%|██████████| 235/235 [00:08<00:00, 26.40it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.966, f1/val=0.966, precision/val=0.966, recall/val=0.966]

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Epoch 5: 100%|██████████| 235/235 [00:10<00:00, 23.25it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 5: 100%|██████████| 235/235 [00:10<00:00, 23.25it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 5:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   0%|          | 1/235 [00:00<02:47,  1.40it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   0%|          | 1/235 [00:00<02:47,  1.39it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   1%|          | 2/235 [00:00<01:29,  2.61it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   1%|          | 2/235 [00:00<01:29,  2.61it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   1%|▏         | 3/235 [00:00<01:02,  3.74it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   1%|▏         | 3/235 [00:00<01:02,  3.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   2%|▏         | 4/235 [00:00<00:48,  4.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   2%|▏         | 4/235 [00:00<00:48,  4.76it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   2%|▏         | 5/235 [00:00<00:40,  5.70it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   2%|▏         | 5/235 [00:00<00:40,  5.70it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 6/235 [00:00<00:34,  6.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 6/235 [00:00<00:34,  6.56it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 7/235 [00:00<00:30,  7.37it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 7/235 [00:00<00:30,  7.36it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 8/235 [00:00<00:28,  8.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   3%|▎         | 8/235 [00:00<00:28,  8.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   4%|▍         | 9/235 [00:01<00:25,  8.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   4%|▍         | 9/235 [00:01<00:25,  8.77it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   4%|▍         | 10/235 [00:01<00:23,  9.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   4%|▍         | 10/235 [00:01<00:23,  9.41it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   5%|▍         | 11/235 [00:01<00:22, 10.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   5%|▍         | 11/235 [00:01<00:22, 10.00it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   5%|▌         | 12/235 [00:01<00:21, 10.54it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   5%|▌         | 12/235 [00:01<00:21, 10.53it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▌         | 13/235 [00:01<00:19, 11.12it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▌         | 13/235 [00:01<00:19, 11.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▌         | 14/235 [00:01<00:19, 11.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▌         | 14/235 [00:01<00:19, 11.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▋         | 15/235 [00:01<00:18, 12.15it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   6%|▋         | 15/235 [00:01<00:18, 12.15it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   7%|▋         | 16/235 [00:01<00:17, 12.62it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   7%|▋         | 16/235 [00:01<00:17, 12.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   7%|▋         | 17/235 [00:01<00:16, 13.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   7%|▋         | 17/235 [00:01<00:16, 13.00it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   8%|▊         | 18/235 [00:01<00:16, 13.37it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   8%|▊         | 18/235 [00:01<00:16, 13.36it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   8%|▊         | 19/235 [00:01<00:15, 13.74it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   8%|▊         | 19/235 [00:01<00:15, 13.73it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▊         | 20/235 [00:01<00:15, 14.09it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▊         | 20/235 [00:01<00:15, 14.08it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▉         | 21/235 [00:01<00:14, 14.41it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▉         | 21/235 [00:01<00:14, 14.41it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▉         | 22/235 [00:01<00:14, 14.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   9%|▉         | 22/235 [00:01<00:14, 14.71it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  10%|▉         | 23/235 [00:01<00:14, 15.00it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  10%|▉         | 23/235 [00:01<00:14, 14.99it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  10%|█         | 24/235 [00:01<00:13, 15.27it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  10%|█         | 24/235 [00:01<00:13, 15.27it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█         | 25/235 [00:01<00:13, 15.53it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█         | 25/235 [00:01<00:13, 15.53it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█         | 26/235 [00:01<00:13, 15.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█         | 26/235 [00:01<00:13, 15.78it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█▏        | 27/235 [00:01<00:12, 16.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  11%|█▏        | 27/235 [00:01<00:12, 16.02it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  12%|█▏        | 28/235 [00:01<00:12, 16.29it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  12%|█▏        | 28/235 [00:01<00:12, 16.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  12%|█▏        | 29/235 [00:01<00:12, 16.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  12%|█▏        | 29/235 [00:01<00:12, 16.56it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  13%|█▎        | 30/235 [00:01<00:12, 16.81it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  13%|█▎        | 30/235 [00:01<00:12, 16.80it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  13%|█▎        | 31/235 [00:01<00:11, 17.06it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  13%|█▎        | 31/235 [00:01<00:11, 17.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▎        | 32/235 [00:01<00:11, 17.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▎        | 32/235 [00:01<00:11, 17.28it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▍        | 33/235 [00:01<00:11, 17.52it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▍        | 33/235 [00:01<00:11, 17.52it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▍        | 34/235 [00:01<00:11, 17.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  14%|█▍        | 34/235 [00:01<00:11, 17.72it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  15%|█▍        | 35/235 [00:01<00:11, 17.95it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  15%|█▍        | 35/235 [00:01<00:11, 17.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  15%|█▌        | 36/235 [00:01<00:10, 18.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  15%|█▌        | 36/235 [00:01<00:10, 18.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  16%|█▌        | 37/235 [00:02<00:10, 18.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  16%|█▌        | 37/235 [00:02<00:10, 18.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  16%|█▌        | 38/235 [00:02<00:10, 18.52it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  16%|█▌        | 38/235 [00:02<00:10, 18.51it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 39/235 [00:02<00:10, 18.66it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 39/235 [00:02<00:10, 18.65it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 40/235 [00:02<00:10, 18.79it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 40/235 [00:02<00:10, 18.78it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 41/235 [00:02<00:10, 18.91it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  17%|█▋        | 41/235 [00:02<00:10, 18.90it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  18%|█▊        | 42/235 [00:02<00:10, 19.03it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  18%|█▊        | 42/235 [00:02<00:10, 19.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  18%|█▊        | 43/235 [00:02<00:10, 19.15it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  18%|█▊        | 43/235 [00:02<00:10, 19.15it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  19%|█▊        | 44/235 [00:02<00:09, 19.27it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  19%|█▊        | 44/235 [00:02<00:09, 19.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  19%|█▉        | 45/235 [00:02<00:09, 19.38it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  19%|█▉        | 45/235 [00:02<00:09, 19.38it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|█▉        | 46/235 [00:02<00:09, 19.50it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|█▉        | 46/235 [00:02<00:09, 19.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|██        | 47/235 [00:02<00:09, 19.66it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|██        | 47/235 [00:02<00:09, 19.66it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|██        | 48/235 [00:02<00:09, 19.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  20%|██        | 48/235 [00:02<00:09, 19.79it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  21%|██        | 49/235 [00:02<00:09, 19.95it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  21%|██        | 49/235 [00:02<00:09, 19.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  21%|██▏       | 50/235 [00:02<00:09, 20.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  21%|██▏       | 50/235 [00:02<00:09, 20.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  22%|██▏       | 51/235 [00:02<00:09, 20.21it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  22%|██▏       | 51/235 [00:02<00:09, 20.21it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  22%|██▏       | 52/235 [00:02<00:08, 20.34it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  22%|██▏       | 52/235 [00:02<00:09, 20.33it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 53/235 [00:02<00:08, 20.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 53/235 [00:02<00:08, 20.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 54/235 [00:02<00:08, 20.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 54/235 [00:02<00:08, 20.58it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 55/235 [00:02<00:08, 20.71it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  23%|██▎       | 55/235 [00:02<00:08, 20.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  24%|██▍       | 56/235 [00:02<00:08, 20.82it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  24%|██▍       | 56/235 [00:02<00:08, 20.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  24%|██▍       | 57/235 [00:02<00:08, 20.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  24%|██▍       | 57/235 [00:02<00:08, 20.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  25%|██▍       | 58/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  25%|██▍       | 58/235 [00:02<00:08, 21.04it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  25%|██▌       | 59/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  25%|██▌       | 59/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▌       | 60/235 [00:02<00:08, 21.26it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▌       | 60/235 [00:02<00:08, 21.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▌       | 61/235 [00:02<00:08, 21.37it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▌       | 61/235 [00:02<00:08, 21.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▋       | 62/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  26%|██▋       | 62/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  27%|██▋       | 63/235 [00:02<00:07, 21.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  27%|██▋       | 63/235 [00:02<00:07, 21.56it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  27%|██▋       | 64/235 [00:02<00:07, 21.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  27%|██▋       | 64/235 [00:02<00:07, 21.64it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  28%|██▊       | 65/235 [00:02<00:07, 21.74it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  28%|██▊       | 65/235 [00:02<00:07, 21.74it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  28%|██▊       | 66/235 [00:03<00:07, 21.82it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  28%|██▊       | 66/235 [00:03<00:07, 21.82it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▊       | 67/235 [00:03<00:07, 21.92it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▊       | 67/235 [00:03<00:07, 21.92it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▉       | 68/235 [00:03<00:07, 22.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▉       | 68/235 [00:03<00:07, 22.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▉       | 69/235 [00:03<00:07, 22.10it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  29%|██▉       | 69/235 [00:03<00:07, 22.09it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  30%|██▉       | 70/235 [00:03<00:07, 22.17it/s, v_num=16, acc1/train=0.953, f1/train=0.953, precision/train=0.953, recall/train=0.953, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  30%|██▉       | 70/235 [00:03<00:07, 22.17it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  30%|███       | 71/235 [00:03<00:07, 22.27it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  30%|███       | 71/235 [00:03<00:07, 22.26it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███       | 72/235 [00:03<00:07, 22.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███       | 72/235 [00:03<00:07, 22.33it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███       | 73/235 [00:03<00:07, 22.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███       | 73/235 [00:03<00:07, 22.43it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███▏      | 74/235 [00:03<00:07, 22.50it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  31%|███▏      | 74/235 [00:03<00:07, 22.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  32%|███▏      | 75/235 [00:03<00:07, 22.59it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  32%|███▏      | 75/235 [00:03<00:07, 22.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  32%|███▏      | 76/235 [00:03<00:07, 22.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  32%|███▏      | 76/235 [00:03<00:07, 22.65it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  33%|███▎      | 77/235 [00:03<00:06, 22.74it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  33%|███▎      | 77/235 [00:03<00:06, 22.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  33%|███▎      | 78/235 [00:03<00:06, 22.81it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  33%|███▎      | 78/235 [00:03<00:06, 22.80it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▎      | 79/235 [00:03<00:06, 22.89it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▎      | 79/235 [00:03<00:06, 22.88it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▍      | 80/235 [00:03<00:06, 22.95it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▍      | 80/235 [00:03<00:06, 22.94it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▍      | 81/235 [00:03<00:06, 23.02it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  34%|███▍      | 81/235 [00:03<00:06, 23.02it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  35%|███▍      | 82/235 [00:03<00:06, 23.08it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  35%|███▍      | 82/235 [00:03<00:06, 23.07it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  35%|███▌      | 83/235 [00:03<00:06, 23.15it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  35%|███▌      | 83/235 [00:03<00:06, 23.15it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  36%|███▌      | 84/235 [00:03<00:06, 23.21it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  36%|███▌      | 84/235 [00:03<00:06, 23.20it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  36%|███▌      | 85/235 [00:03<00:06, 23.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  36%|███▌      | 85/235 [00:03<00:06, 23.27it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 86/235 [00:03<00:06, 23.33it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 86/235 [00:03<00:06, 23.33it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 87/235 [00:03<00:06, 23.40it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 87/235 [00:03<00:06, 23.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 88/235 [00:03<00:06, 23.46it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  37%|███▋      | 88/235 [00:03<00:06, 23.45it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  38%|███▊      | 89/235 [00:03<00:06, 23.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  38%|███▊      | 89/235 [00:03<00:06, 23.51it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  38%|███▊      | 90/235 [00:03<00:06, 23.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  38%|███▊      | 90/235 [00:03<00:06, 23.56it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  39%|███▊      | 91/235 [00:03<00:06, 23.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  39%|███▊      | 91/235 [00:03<00:06, 23.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  39%|███▉      | 92/235 [00:03<00:06, 23.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  39%|███▉      | 92/235 [00:03<00:06, 23.67it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|███▉      | 93/235 [00:03<00:05, 23.72it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|███▉      | 93/235 [00:03<00:05, 23.72it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|████      | 94/235 [00:03<00:05, 23.77it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|████      | 94/235 [00:03<00:05, 23.76it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|████      | 95/235 [00:03<00:05, 23.83it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  40%|████      | 95/235 [00:03<00:05, 23.83it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  41%|████      | 96/235 [00:04<00:05, 23.87it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  41%|████      | 96/235 [00:04<00:05, 23.87it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  41%|████▏     | 97/235 [00:04<00:05, 23.93it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  41%|████▏     | 97/235 [00:04<00:05, 23.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  42%|████▏     | 98/235 [00:04<00:05, 23.98it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  42%|████▏     | 98/235 [00:04<00:05, 23.97it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  42%|████▏     | 99/235 [00:04<00:05, 24.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  42%|████▏     | 99/235 [00:04<00:05, 24.02it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 100/235 [00:04<00:05, 24.07it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 100/235 [00:04<00:05, 24.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 101/235 [00:04<00:05, 24.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 101/235 [00:04<00:05, 24.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 102/235 [00:04<00:05, 24.16it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  43%|████▎     | 102/235 [00:04<00:05, 24.16it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  44%|████▍     | 103/235 [00:04<00:05, 24.22it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  44%|████▍     | 103/235 [00:04<00:05, 24.22it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  44%|████▍     | 104/235 [00:04<00:05, 24.26it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  44%|████▍     | 104/235 [00:04<00:05, 24.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  45%|████▍     | 105/235 [00:04<00:05, 24.31it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  45%|████▍     | 105/235 [00:04<00:05, 24.30it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  45%|████▌     | 106/235 [00:04<00:05, 24.35it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  45%|████▌     | 106/235 [00:04<00:05, 24.34it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▌     | 107/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▌     | 107/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▌     | 108/235 [00:04<00:05, 24.43it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▌     | 108/235 [00:04<00:05, 24.43it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▋     | 109/235 [00:04<00:05, 24.48it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  46%|████▋     | 109/235 [00:04<00:05, 24.48it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  47%|████▋     | 110/235 [00:04<00:05, 24.52it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  47%|████▋     | 110/235 [00:04<00:05, 24.51it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  47%|████▋     | 111/235 [00:04<00:05, 24.57it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  47%|████▋     | 111/235 [00:04<00:05, 24.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  48%|████▊     | 112/235 [00:04<00:04, 24.60it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  48%|████▊     | 112/235 [00:04<00:05, 24.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  48%|████▊     | 113/235 [00:04<00:04, 24.65it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  48%|████▊     | 113/235 [00:04<00:04, 24.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▊     | 114/235 [00:04<00:04, 24.68it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▊     | 114/235 [00:04<00:04, 24.68it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▉     | 115/235 [00:04<00:04, 24.72it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▉     | 115/235 [00:04<00:04, 24.72it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▉     | 116/235 [00:04<00:04, 24.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  49%|████▉     | 116/235 [00:04<00:04, 24.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  50%|████▉     | 117/235 [00:04<00:04, 24.78it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  50%|████▉     | 117/235 [00:04<00:04, 24.78it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  50%|█████     | 118/235 [00:04<00:04, 24.81it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  50%|█████     | 118/235 [00:04<00:04, 24.80it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████     | 119/235 [00:04<00:04, 24.85it/s, v_num=16, acc1/train=0.949, f1/train=0.949, precision/train=0.949, recall/train=0.949, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████     | 119/235 [00:04<00:04, 24.85it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████     | 120/235 [00:04<00:04, 24.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████     | 120/235 [00:04<00:04, 24.88it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████▏    | 121/235 [00:04<00:04, 24.92it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  51%|█████▏    | 121/235 [00:04<00:04, 24.92it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  52%|█████▏    | 122/235 [00:04<00:04, 24.95it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  52%|█████▏    | 122/235 [00:04<00:04, 24.95it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  52%|█████▏    | 123/235 [00:04<00:04, 25.00it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  52%|█████▏    | 123/235 [00:04<00:04, 25.00it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  53%|█████▎    | 124/235 [00:04<00:04, 25.02it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  53%|█████▎    | 124/235 [00:04<00:04, 25.02it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  53%|█████▎    | 125/235 [00:04<00:04, 25.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  53%|█████▎    | 125/235 [00:04<00:04, 25.06it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▎    | 126/235 [00:05<00:04, 25.09it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▎    | 126/235 [00:05<00:04, 25.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▍    | 127/235 [00:05<00:04, 25.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▍    | 127/235 [00:05<00:04, 25.10it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▍    | 128/235 [00:05<00:04, 25.13it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  54%|█████▍    | 128/235 [00:05<00:04, 25.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  55%|█████▍    | 129/235 [00:05<00:04, 25.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  55%|█████▍    | 129/235 [00:05<00:04, 25.16it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  55%|█████▌    | 130/235 [00:05<00:04, 25.20it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  55%|█████▌    | 130/235 [00:05<00:04, 25.20it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  56%|█████▌    | 131/235 [00:05<00:04, 25.22it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  56%|█████▌    | 131/235 [00:05<00:04, 25.22it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  56%|█████▌    | 132/235 [00:05<00:04, 25.26it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  56%|█████▌    | 132/235 [00:05<00:04, 25.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 133/235 [00:05<00:04, 25.29it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 133/235 [00:05<00:04, 25.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 134/235 [00:05<00:03, 25.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 134/235 [00:05<00:03, 25.32it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 135/235 [00:05<00:03, 25.33it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  57%|█████▋    | 135/235 [00:05<00:03, 25.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  58%|█████▊    | 136/235 [00:05<00:03, 25.37it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  58%|█████▊    | 136/235 [00:05<00:03, 25.37it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  58%|█████▊    | 137/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  58%|█████▊    | 137/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  59%|█████▊    | 138/235 [00:05<00:03, 25.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  59%|█████▊    | 138/235 [00:05<00:03, 25.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  59%|█████▉    | 139/235 [00:05<00:03, 25.44it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  59%|█████▉    | 139/235 [00:05<00:03, 25.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|█████▉    | 140/235 [00:05<00:03, 25.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|█████▉    | 140/235 [00:05<00:03, 25.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|██████    | 141/235 [00:05<00:03, 25.50it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|██████    | 141/235 [00:05<00:03, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|██████    | 142/235 [00:05<00:03, 25.53it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  60%|██████    | 142/235 [00:05<00:03, 25.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  61%|██████    | 143/235 [00:05<00:03, 25.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  61%|██████    | 143/235 [00:05<00:03, 25.55it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  61%|██████▏   | 144/235 [00:05<00:03, 25.59it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  61%|██████▏   | 144/235 [00:05<00:03, 25.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  62%|██████▏   | 145/235 [00:05<00:03, 25.61it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  62%|██████▏   | 145/235 [00:05<00:03, 25.61it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  62%|██████▏   | 146/235 [00:05<00:03, 25.64it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  62%|██████▏   | 146/235 [00:05<00:03, 25.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 147/235 [00:05<00:03, 25.66it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 147/235 [00:05<00:03, 25.65it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 148/235 [00:05<00:03, 25.69it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 148/235 [00:05<00:03, 25.69it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 149/235 [00:05<00:03, 25.71it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  63%|██████▎   | 149/235 [00:05<00:03, 25.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  64%|██████▍   | 150/235 [00:05<00:03, 25.74it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  64%|██████▍   | 150/235 [00:05<00:03, 25.74it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  64%|██████▍   | 151/235 [00:05<00:03, 25.76it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  64%|██████▍   | 151/235 [00:05<00:03, 25.76it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  65%|██████▍   | 152/235 [00:05<00:03, 25.78it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  65%|██████▍   | 152/235 [00:05<00:03, 25.78it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  65%|██████▌   | 153/235 [00:05<00:03, 25.79it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  65%|██████▌   | 153/235 [00:05<00:03, 25.79it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▌   | 154/235 [00:05<00:03, 25.82it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▌   | 154/235 [00:05<00:03, 25.82it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▌   | 155/235 [00:05<00:03, 25.84it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▌   | 155/235 [00:05<00:03, 25.84it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▋   | 156/235 [00:06<00:03, 25.87it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  66%|██████▋   | 156/235 [00:06<00:03, 25.87it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  67%|██████▋   | 157/235 [00:06<00:03, 25.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  67%|██████▋   | 157/235 [00:06<00:03, 25.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  67%|██████▋   | 158/235 [00:06<00:02, 25.92it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  67%|██████▋   | 158/235 [00:06<00:02, 25.92it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  68%|██████▊   | 159/235 [00:06<00:02, 25.94it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  68%|██████▊   | 159/235 [00:06<00:02, 25.93it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  68%|██████▊   | 160/235 [00:06<00:02, 25.97it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  68%|██████▊   | 160/235 [00:06<00:02, 25.96it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▊   | 161/235 [00:06<00:02, 25.98it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▊   | 161/235 [00:06<00:02, 25.98it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▉   | 162/235 [00:06<00:02, 26.01it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▉   | 162/235 [00:06<00:02, 26.01it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▉   | 163/235 [00:06<00:02, 26.03it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  69%|██████▉   | 163/235 [00:06<00:02, 26.02it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  70%|██████▉   | 164/235 [00:06<00:02, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  70%|██████▉   | 164/235 [00:06<00:02, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  70%|███████   | 165/235 [00:06<00:02, 26.08it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  70%|███████   | 165/235 [00:06<00:02, 26.08it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████   | 166/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████   | 166/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████   | 167/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████   | 167/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████▏  | 168/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  71%|███████▏  | 168/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  72%|███████▏  | 169/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  72%|███████▏  | 169/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  72%|███████▏  | 170/235 [00:06<00:02, 26.08it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  72%|███████▏  | 170/235 [00:06<00:02, 26.07it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  73%|███████▎  | 171/235 [00:06<00:02, 26.09it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  73%|███████▎  | 171/235 [00:06<00:02, 26.09it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  73%|███████▎  | 172/235 [00:06<00:02, 26.12it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  73%|███████▎  | 172/235 [00:06<00:02, 26.12it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▎  | 173/235 [00:06<00:02, 26.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▎  | 173/235 [00:06<00:02, 26.13it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▍  | 174/235 [00:06<00:02, 26.14it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▍  | 174/235 [00:06<00:02, 26.14it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▍  | 175/235 [00:06<00:02, 26.15it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  74%|███████▍  | 175/235 [00:06<00:02, 26.15it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  75%|███████▍  | 176/235 [00:06<00:02, 26.18it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  75%|███████▍  | 176/235 [00:06<00:02, 26.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  75%|███████▌  | 177/235 [00:06<00:02, 26.19it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  75%|███████▌  | 177/235 [00:06<00:02, 26.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  76%|███████▌  | 178/235 [00:06<00:02, 26.22it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  76%|███████▌  | 178/235 [00:06<00:02, 26.22it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  76%|███████▌  | 179/235 [00:06<00:02, 26.21it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  76%|███████▌  | 179/235 [00:06<00:02, 26.21it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 180/235 [00:06<00:02, 26.23it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 180/235 [00:06<00:02, 26.22it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 181/235 [00:06<00:02, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 181/235 [00:06<00:02, 26.25it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 182/235 [00:06<00:02, 26.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  77%|███████▋  | 182/235 [00:06<00:02, 26.26it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  78%|███████▊  | 183/235 [00:06<00:01, 26.25it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  78%|███████▊  | 183/235 [00:06<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  78%|███████▊  | 184/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  78%|███████▊  | 184/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  79%|███████▊  | 185/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  79%|███████▊  | 185/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  79%|███████▉  | 186/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  79%|███████▉  | 186/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|███████▉  | 187/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|███████▉  | 187/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|████████  | 188/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|████████  | 188/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|████████  | 189/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  80%|████████  | 189/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  81%|████████  | 190/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  81%|████████  | 190/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  81%|████████▏ | 191/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  81%|████████▏ | 191/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  82%|████████▏ | 192/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  82%|████████▏ | 192/235 [00:07<00:01, 26.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  82%|████████▏ | 193/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  82%|████████▏ | 193/235 [00:07<00:01, 26.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 194/235 [00:07<00:01, 26.27it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 194/235 [00:07<00:01, 26.27it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 195/235 [00:07<00:01, 26.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 195/235 [00:07<00:01, 26.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 196/235 [00:07<00:01, 26.30it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  83%|████████▎ | 196/235 [00:07<00:01, 26.30it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  84%|████████▍ | 197/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  84%|████████▍ | 197/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  84%|████████▍ | 198/235 [00:07<00:01, 26.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  84%|████████▍ | 198/235 [00:07<00:01, 26.33it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  85%|████████▍ | 199/235 [00:07<00:01, 26.35it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  85%|████████▍ | 199/235 [00:07<00:01, 26.35it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  85%|████████▌ | 200/235 [00:07<00:01, 26.37it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  85%|████████▌ | 200/235 [00:07<00:01, 26.37it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▌ | 201/235 [00:07<00:01, 26.38it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▌ | 201/235 [00:07<00:01, 26.38it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▌ | 202/235 [00:07<00:01, 26.39it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▌ | 202/235 [00:07<00:01, 26.39it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▋ | 203/235 [00:07<00:01, 26.39it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  86%|████████▋ | 203/235 [00:07<00:01, 26.38it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  87%|████████▋ | 204/235 [00:07<00:01, 26.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  87%|████████▋ | 204/235 [00:07<00:01, 26.40it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  87%|████████▋ | 205/235 [00:07<00:01, 26.42it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  87%|████████▋ | 205/235 [00:07<00:01, 26.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  88%|████████▊ | 206/235 [00:07<00:01, 26.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  88%|████████▊ | 206/235 [00:07<00:01, 26.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  88%|████████▊ | 207/235 [00:07<00:01, 26.44it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  88%|████████▊ | 207/235 [00:07<00:01, 26.44it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▊ | 208/235 [00:07<00:01, 26.45it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▊ | 208/235 [00:07<00:01, 26.45it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▉ | 209/235 [00:07<00:00, 26.47it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▉ | 209/235 [00:07<00:00, 26.47it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▉ | 210/235 [00:07<00:00, 26.50it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  89%|████████▉ | 210/235 [00:07<00:00, 26.49it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  90%|████████▉ | 211/235 [00:07<00:00, 26.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  90%|████████▉ | 211/235 [00:07<00:00, 26.50it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  90%|█████████ | 212/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  90%|█████████ | 212/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████ | 213/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████ | 213/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████ | 214/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████ | 214/235 [00:08<00:00, 26.49it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████▏| 215/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  91%|█████████▏| 215/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  92%|█████████▏| 216/235 [00:08<00:00, 26.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  92%|█████████▏| 216/235 [00:08<00:00, 26.52it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  92%|█████████▏| 217/235 [00:08<00:00, 26.57it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  92%|█████████▏| 217/235 [00:08<00:00, 26.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  93%|█████████▎| 218/235 [00:08<00:00, 26.61it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  93%|█████████▎| 218/235 [00:08<00:00, 26.61it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  93%|█████████▎| 219/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  93%|█████████▎| 219/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▎| 220/235 [00:08<00:00, 26.70it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▎| 220/235 [00:08<00:00, 26.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▍| 221/235 [00:08<00:00, 26.74it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▍| 221/235 [00:08<00:00, 26.74it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▍| 222/235 [00:08<00:00, 26.78it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  94%|█████████▍| 222/235 [00:08<00:00, 26.78it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  95%|█████████▍| 223/235 [00:08<00:00, 26.82it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  95%|█████████▍| 223/235 [00:08<00:00, 26.82it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  95%|█████████▌| 224/235 [00:08<00:00, 26.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  95%|█████████▌| 224/235 [00:08<00:00, 26.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  96%|█████████▌| 225/235 [00:08<00:00, 26.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  96%|█████████▌| 225/235 [00:08<00:00, 26.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  96%|█████████▌| 226/235 [00:08<00:00, 26.94it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  96%|█████████▌| 226/235 [00:08<00:00, 26.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 227/235 [00:08<00:00, 26.98it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 227/235 [00:08<00:00, 26.98it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 228/235 [00:08<00:00, 27.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 228/235 [00:08<00:00, 27.02it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 229/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  97%|█████████▋| 229/235 [00:08<00:00, 27.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  98%|█████████▊| 230/235 [00:08<00:00, 27.10it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  98%|█████████▊| 230/235 [00:08<00:00, 27.10it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  98%|█████████▊| 231/235 [00:08<00:00, 27.14it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  98%|█████████▊| 231/235 [00:08<00:00, 27.14it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  99%|█████████▊| 232/235 [00:08<00:00, 27.18it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  99%|█████████▊| 232/235 [00:08<00:00, 27.18it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  99%|█████████▉| 233/235 [00:08<00:00, 27.22it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:  99%|█████████▉| 233/235 [00:08<00:00, 27.22it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6: 100%|█████████▉| 234/235 [00:08<00:00, 27.26it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6: 100%|█████████▉| 234/235 [00:08<00:00, 27.26it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6: 100%|██████████| 235/235 [00:08<00:00, 27.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6: 100%|██████████| 235/235 [00:08<00:00, 27.30it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6: 100%|██████████| 235/235 [00:08<00:00, 27.30it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 6:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   0%|          | 1/235 [00:00<02:48,  1.39it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   0%|          | 1/235 [00:00<02:48,  1.39it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   1%|          | 2/235 [00:00<01:27,  2.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   1%|          | 2/235 [00:00<01:28,  2.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   1%|▏         | 3/235 [00:00<01:01,  3.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   1%|▏         | 3/235 [00:00<01:01,  3.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   2%|▏         | 4/235 [00:00<00:47,  4.82it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   2%|▏         | 4/235 [00:00<00:47,  4.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   2%|▏         | 5/235 [00:00<00:39,  5.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   2%|▏         | 5/235 [00:00<00:39,  5.76it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 6/235 [00:00<00:34,  6.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 6/235 [00:00<00:34,  6.67it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 7/235 [00:00<00:30,  7.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 7/235 [00:00<00:30,  7.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 8/235 [00:00<00:27,  8.30it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   3%|▎         | 8/235 [00:00<00:27,  8.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   4%|▍         | 9/235 [00:00<00:25,  9.04it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   4%|▍         | 9/235 [00:00<00:25,  9.03it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   4%|▍         | 10/235 [00:01<00:23,  9.74it/s, v_num=16, acc1/train=0.938, f1/train=0.938, precision/train=0.938, recall/train=0.938, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   4%|▍         | 10/235 [00:01<00:23,  9.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   5%|▍         | 11/235 [00:01<00:21, 10.39it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   5%|▍         | 11/235 [00:01<00:21, 10.38it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   5%|▌         | 12/235 [00:01<00:20, 11.00it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   5%|▌         | 12/235 [00:01<00:20, 10.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▌         | 13/235 [00:01<00:19, 11.54it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▌         | 13/235 [00:01<00:19, 11.53it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▌         | 14/235 [00:01<00:18, 12.09it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▌         | 14/235 [00:01<00:18, 12.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▋         | 15/235 [00:01<00:17, 12.56it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   6%|▋         | 15/235 [00:01<00:17, 12.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   7%|▋         | 16/235 [00:01<00:16, 13.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   7%|▋         | 16/235 [00:01<00:16, 13.06it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   7%|▋         | 17/235 [00:01<00:16, 13.51it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   7%|▋         | 17/235 [00:01<00:16, 13.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   8%|▊         | 18/235 [00:01<00:15, 13.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   8%|▊         | 18/235 [00:01<00:15, 13.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   8%|▊         | 19/235 [00:01<00:15, 14.36it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   8%|▊         | 19/235 [00:01<00:15, 14.35it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▊         | 20/235 [00:01<00:14, 14.77it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▊         | 20/235 [00:01<00:14, 14.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▉         | 21/235 [00:01<00:14, 15.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▉         | 21/235 [00:01<00:14, 15.12it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▉         | 22/235 [00:01<00:13, 15.49it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:   9%|▉         | 22/235 [00:01<00:13, 15.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  10%|▉         | 23/235 [00:01<00:13, 15.82it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  10%|▉         | 23/235 [00:01<00:13, 15.81it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  10%|█         | 24/235 [00:01<00:13, 16.15it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  10%|█         | 24/235 [00:01<00:13, 16.15it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█         | 25/235 [00:01<00:12, 16.45it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█         | 25/235 [00:01<00:12, 16.44it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█         | 26/235 [00:01<00:12, 16.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█         | 26/235 [00:01<00:12, 16.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█▏        | 27/235 [00:01<00:12, 17.02it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  11%|█▏        | 27/235 [00:01<00:12, 17.02it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  12%|█▏        | 28/235 [00:01<00:11, 17.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  12%|█▏        | 28/235 [00:01<00:11, 17.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  12%|█▏        | 29/235 [00:01<00:11, 17.56it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  12%|█▏        | 29/235 [00:01<00:11, 17.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  13%|█▎        | 30/235 [00:01<00:11, 17.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  13%|█▎        | 30/235 [00:01<00:11, 17.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  13%|█▎        | 31/235 [00:01<00:11, 18.04it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  13%|█▎        | 31/235 [00:01<00:11, 18.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▎        | 32/235 [00:01<00:11, 18.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▎        | 32/235 [00:01<00:11, 18.28it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▍        | 33/235 [00:01<00:10, 18.49it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▍        | 33/235 [00:01<00:10, 18.48it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▍        | 34/235 [00:01<00:10, 18.72it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  14%|█▍        | 34/235 [00:01<00:10, 18.71it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  15%|█▍        | 35/235 [00:01<00:10, 18.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  15%|█▍        | 35/235 [00:01<00:10, 18.90it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  15%|█▌        | 36/235 [00:01<00:10, 19.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  15%|█▌        | 36/235 [00:01<00:10, 19.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  16%|█▌        | 37/235 [00:01<00:10, 19.30it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  16%|█▌        | 37/235 [00:01<00:10, 19.29it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  16%|█▌        | 38/235 [00:01<00:10, 19.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  16%|█▌        | 38/235 [00:01<00:10, 19.49it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 39/235 [00:01<00:09, 19.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 39/235 [00:01<00:09, 19.66it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 40/235 [00:02<00:09, 19.85it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 40/235 [00:02<00:09, 19.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 41/235 [00:02<00:09, 20.01it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  17%|█▋        | 41/235 [00:02<00:09, 20.01it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  18%|█▊        | 42/235 [00:02<00:09, 20.19it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  18%|█▊        | 42/235 [00:02<00:09, 20.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  18%|█▊        | 43/235 [00:02<00:09, 20.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  18%|█▊        | 43/235 [00:02<00:09, 20.33it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  19%|█▊        | 44/235 [00:02<00:09, 20.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  19%|█▊        | 44/235 [00:02<00:09, 20.49it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  19%|█▉        | 45/235 [00:02<00:09, 20.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  19%|█▉        | 45/235 [00:02<00:09, 20.63it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|█▉        | 46/235 [00:02<00:09, 20.79it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|█▉        | 46/235 [00:02<00:09, 20.79it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|██        | 47/235 [00:02<00:08, 20.92it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|██        | 47/235 [00:02<00:08, 20.92it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|██        | 48/235 [00:02<00:08, 21.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  20%|██        | 48/235 [00:02<00:08, 21.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  21%|██        | 49/235 [00:02<00:08, 21.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  21%|██        | 49/235 [00:02<00:08, 21.18it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  21%|██▏       | 50/235 [00:02<00:08, 21.33it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  21%|██▏       | 50/235 [00:02<00:08, 21.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  22%|██▏       | 51/235 [00:02<00:08, 21.45it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  22%|██▏       | 51/235 [00:02<00:08, 21.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  22%|██▏       | 52/235 [00:02<00:08, 21.57it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  22%|██▏       | 52/235 [00:02<00:08, 21.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 53/235 [00:02<00:08, 21.68it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 53/235 [00:02<00:08, 21.67it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 54/235 [00:02<00:08, 21.80it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 54/235 [00:02<00:08, 21.79it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 55/235 [00:02<00:08, 21.90it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  23%|██▎       | 55/235 [00:02<00:08, 21.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  24%|██▍       | 56/235 [00:02<00:08, 22.02it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  24%|██▍       | 56/235 [00:02<00:08, 22.01it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  24%|██▍       | 57/235 [00:02<00:08, 22.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  24%|██▍       | 57/235 [00:02<00:08, 22.10it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  25%|██▍       | 58/235 [00:02<00:07, 22.22it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  25%|██▍       | 58/235 [00:02<00:07, 22.22it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  25%|██▌       | 59/235 [00:02<00:07, 22.31it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  25%|██▌       | 59/235 [00:02<00:07, 22.31it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▌       | 60/235 [00:02<00:07, 22.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▌       | 60/235 [00:02<00:07, 22.42it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▌       | 61/235 [00:02<00:07, 22.51it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▌       | 61/235 [00:02<00:07, 22.50it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▋       | 62/235 [00:02<00:07, 22.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  26%|██▋       | 62/235 [00:02<00:07, 22.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  27%|██▋       | 63/235 [00:02<00:07, 22.70it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  27%|██▋       | 63/235 [00:02<00:07, 22.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  27%|██▋       | 64/235 [00:02<00:07, 22.80it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  27%|██▋       | 64/235 [00:02<00:07, 22.80it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  28%|██▊       | 65/235 [00:02<00:07, 22.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  28%|██▊       | 65/235 [00:02<00:07, 22.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  28%|██▊       | 66/235 [00:02<00:07, 22.97it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  28%|██▊       | 66/235 [00:02<00:07, 22.97it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▊       | 67/235 [00:02<00:07, 23.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▊       | 67/235 [00:02<00:07, 23.04it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▉       | 68/235 [00:02<00:07, 23.14it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▉       | 68/235 [00:02<00:07, 23.14it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▉       | 69/235 [00:02<00:07, 23.21it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  29%|██▉       | 69/235 [00:02<00:07, 23.21it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  30%|██▉       | 70/235 [00:03<00:07, 23.30it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  30%|██▉       | 70/235 [00:03<00:07, 23.30it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  30%|███       | 71/235 [00:03<00:07, 23.37it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  30%|███       | 71/235 [00:03<00:07, 23.36it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███       | 72/235 [00:03<00:06, 23.45it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███       | 72/235 [00:03<00:06, 23.45it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███       | 73/235 [00:03<00:06, 23.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███       | 73/235 [00:03<00:06, 23.52it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███▏      | 74/235 [00:03<00:06, 23.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  31%|███▏      | 74/235 [00:03<00:06, 23.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  32%|███▏      | 75/235 [00:03<00:06, 23.67it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  32%|███▏      | 75/235 [00:03<00:06, 23.67it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  32%|███▏      | 76/235 [00:03<00:06, 23.75it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  32%|███▏      | 76/235 [00:03<00:06, 23.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  33%|███▎      | 77/235 [00:03<00:06, 23.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  33%|███▎      | 77/235 [00:03<00:06, 23.80it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  33%|███▎      | 78/235 [00:03<00:06, 23.88it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  33%|███▎      | 78/235 [00:03<00:06, 23.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▎      | 79/235 [00:03<00:06, 23.94it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▎      | 79/235 [00:03<00:06, 23.93it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▍      | 80/235 [00:03<00:06, 24.00it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▍      | 80/235 [00:03<00:06, 24.00it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▍      | 81/235 [00:03<00:06, 24.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  34%|███▍      | 81/235 [00:03<00:06, 24.05it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  35%|███▍      | 82/235 [00:03<00:06, 24.13it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  35%|███▍      | 82/235 [00:03<00:06, 24.12it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  35%|███▌      | 83/235 [00:03<00:06, 24.18it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  35%|███▌      | 83/235 [00:03<00:06, 24.18it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  36%|███▌      | 84/235 [00:03<00:06, 24.25it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  36%|███▌      | 84/235 [00:03<00:06, 24.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  36%|███▌      | 85/235 [00:03<00:06, 24.30it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  36%|███▌      | 85/235 [00:03<00:06, 24.29it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 86/235 [00:03<00:06, 24.36it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 86/235 [00:03<00:06, 24.36it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 87/235 [00:03<00:06, 24.41it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 87/235 [00:03<00:06, 24.41it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 88/235 [00:03<00:06, 24.47it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  37%|███▋      | 88/235 [00:03<00:06, 24.47it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  38%|███▊      | 89/235 [00:03<00:05, 24.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  38%|███▊      | 89/235 [00:03<00:05, 24.52it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  38%|███▊      | 90/235 [00:03<00:05, 24.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  38%|███▊      | 90/235 [00:03<00:05, 24.58it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  39%|███▊      | 91/235 [00:03<00:05, 24.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  39%|███▊      | 91/235 [00:03<00:05, 24.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  39%|███▉      | 92/235 [00:03<00:05, 24.69it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  39%|███▉      | 92/235 [00:03<00:05, 24.68it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|███▉      | 93/235 [00:03<00:05, 24.73it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|███▉      | 93/235 [00:03<00:05, 24.73it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|████      | 94/235 [00:03<00:05, 24.79it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|████      | 94/235 [00:03<00:05, 24.79it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|████      | 95/235 [00:03<00:05, 24.83it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  40%|████      | 95/235 [00:03<00:05, 24.83it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  41%|████      | 96/235 [00:03<00:05, 24.88it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  41%|████      | 96/235 [00:03<00:05, 24.88it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  41%|████▏     | 97/235 [00:03<00:05, 24.92it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  41%|████▏     | 97/235 [00:03<00:05, 24.92it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  42%|████▏     | 98/235 [00:03<00:05, 24.98it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  42%|████▏     | 98/235 [00:03<00:05, 24.97it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  42%|████▏     | 99/235 [00:03<00:05, 24.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  42%|████▏     | 99/235 [00:03<00:05, 24.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 100/235 [00:04<00:05, 24.97it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 100/235 [00:04<00:05, 24.97it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 101/235 [00:04<00:05, 24.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 101/235 [00:04<00:05, 24.98it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 102/235 [00:04<00:05, 25.00it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  43%|████▎     | 102/235 [00:04<00:05, 25.00it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  44%|████▍     | 103/235 [00:04<00:05, 25.01it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  44%|████▍     | 103/235 [00:04<00:05, 25.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  44%|████▍     | 104/235 [00:04<00:05, 25.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  44%|████▍     | 104/235 [00:04<00:05, 25.05it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  45%|████▍     | 105/235 [00:04<00:05, 25.10it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  45%|████▍     | 105/235 [00:04<00:05, 25.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  45%|████▌     | 106/235 [00:04<00:05, 25.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  45%|████▌     | 106/235 [00:04<00:05, 25.12it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▌     | 107/235 [00:04<00:05, 25.18it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▌     | 107/235 [00:04<00:05, 25.17it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▌     | 108/235 [00:04<00:05, 25.20it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▌     | 108/235 [00:04<00:05, 25.20it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▋     | 109/235 [00:04<00:04, 25.25it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  46%|████▋     | 109/235 [00:04<00:04, 25.25it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  47%|████▋     | 110/235 [00:04<00:04, 25.28it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  47%|████▋     | 110/235 [00:04<00:04, 25.27it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  47%|████▋     | 111/235 [00:04<00:04, 25.32it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  47%|████▋     | 111/235 [00:04<00:04, 25.32it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  48%|████▊     | 112/235 [00:04<00:04, 25.32it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  48%|████▊     | 112/235 [00:04<00:04, 25.32it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  48%|████▊     | 113/235 [00:04<00:04, 25.33it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  48%|████▊     | 113/235 [00:04<00:04, 25.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▊     | 114/235 [00:04<00:04, 25.34it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▊     | 114/235 [00:04<00:04, 25.33it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▉     | 115/235 [00:04<00:04, 25.35it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▉     | 115/235 [00:04<00:04, 25.34it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▉     | 116/235 [00:04<00:04, 25.38it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  49%|████▉     | 116/235 [00:04<00:04, 25.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  50%|████▉     | 117/235 [00:04<00:04, 25.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  50%|████▉     | 117/235 [00:04<00:04, 25.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  50%|█████     | 118/235 [00:04<00:04, 25.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  50%|█████     | 118/235 [00:04<00:04, 25.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████     | 119/235 [00:04<00:04, 25.40it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████     | 119/235 [00:04<00:04, 25.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████     | 120/235 [00:04<00:04, 25.41it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████     | 120/235 [00:04<00:04, 25.41it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████▏    | 121/235 [00:04<00:04, 25.42it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  51%|█████▏    | 121/235 [00:04<00:04, 25.42it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  52%|█████▏    | 122/235 [00:04<00:04, 25.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  52%|█████▏    | 122/235 [00:04<00:04, 25.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  52%|█████▏    | 123/235 [00:04<00:04, 25.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  52%|█████▏    | 123/235 [00:04<00:04, 25.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  53%|█████▎    | 124/235 [00:04<00:04, 25.45it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  53%|█████▎    | 124/235 [00:04<00:04, 25.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  53%|█████▎    | 125/235 [00:04<00:04, 25.46it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  53%|█████▎    | 125/235 [00:04<00:04, 25.45it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▎    | 126/235 [00:04<00:04, 25.46it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▎    | 126/235 [00:04<00:04, 25.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▍    | 127/235 [00:04<00:04, 25.47it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▍    | 127/235 [00:04<00:04, 25.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▍    | 128/235 [00:05<00:04, 25.48it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  54%|█████▍    | 128/235 [00:05<00:04, 25.48it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  55%|█████▍    | 129/235 [00:05<00:04, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  55%|█████▍    | 129/235 [00:05<00:04, 25.49it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  55%|█████▌    | 130/235 [00:05<00:04, 25.50it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  55%|█████▌    | 130/235 [00:05<00:04, 25.49it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  56%|█████▌    | 131/235 [00:05<00:04, 25.50it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  56%|█████▌    | 131/235 [00:05<00:04, 25.50it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  56%|█████▌    | 132/235 [00:05<00:04, 25.51it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  56%|█████▌    | 132/235 [00:05<00:04, 25.51it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 133/235 [00:05<00:03, 25.52it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 133/235 [00:05<00:03, 25.52it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 134/235 [00:05<00:03, 25.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 134/235 [00:05<00:03, 25.52it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 135/235 [00:05<00:03, 25.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  57%|█████▋    | 135/235 [00:05<00:03, 25.53it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  58%|█████▊    | 136/235 [00:05<00:03, 25.54it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  58%|█████▊    | 136/235 [00:05<00:03, 25.54it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  58%|█████▊    | 137/235 [00:05<00:03, 25.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  58%|█████▊    | 137/235 [00:05<00:03, 25.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  59%|█████▊    | 138/235 [00:05<00:03, 25.57it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  59%|█████▊    | 138/235 [00:05<00:03, 25.57it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  59%|█████▉    | 139/235 [00:05<00:03, 25.59it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  59%|█████▉    | 139/235 [00:05<00:03, 25.59it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|█████▉    | 140/235 [00:05<00:03, 25.62it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|█████▉    | 140/235 [00:05<00:03, 25.62it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|██████    | 141/235 [00:05<00:03, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|██████    | 141/235 [00:05<00:03, 25.65it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|██████    | 142/235 [00:05<00:03, 25.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  60%|██████    | 142/235 [00:05<00:03, 25.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  61%|██████    | 143/235 [00:05<00:03, 25.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  61%|██████    | 143/235 [00:05<00:03, 25.69it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  61%|██████▏   | 144/235 [00:05<00:03, 25.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  61%|██████▏   | 144/235 [00:05<00:03, 25.70it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  62%|██████▏   | 145/235 [00:05<00:03, 25.74it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  62%|██████▏   | 145/235 [00:05<00:03, 25.73it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  62%|██████▏   | 146/235 [00:05<00:03, 25.76it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  62%|██████▏   | 146/235 [00:05<00:03, 25.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 147/235 [00:05<00:03, 25.79it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 147/235 [00:05<00:03, 25.78it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 148/235 [00:05<00:03, 25.80it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 148/235 [00:05<00:03, 25.80it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 149/235 [00:05<00:03, 25.84it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  63%|██████▎   | 149/235 [00:05<00:03, 25.83it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  64%|██████▍   | 150/235 [00:05<00:03, 25.84it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  64%|██████▍   | 150/235 [00:05<00:03, 25.84it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  64%|██████▍   | 151/235 [00:05<00:03, 25.87it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  64%|██████▍   | 151/235 [00:05<00:03, 25.87it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  65%|██████▍   | 152/235 [00:05<00:03, 25.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  65%|██████▍   | 152/235 [00:05<00:03, 25.89it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  65%|██████▌   | 153/235 [00:05<00:03, 25.92it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  65%|██████▌   | 153/235 [00:05<00:03, 25.92it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▌   | 154/235 [00:05<00:03, 25.94it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▌   | 154/235 [00:05<00:03, 25.94it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▌   | 155/235 [00:05<00:03, 25.97it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▌   | 155/235 [00:05<00:03, 25.97it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▋   | 156/235 [00:06<00:03, 25.98it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  66%|██████▋   | 156/235 [00:06<00:03, 25.98it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  67%|██████▋   | 157/235 [00:06<00:02, 26.01it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  67%|██████▋   | 157/235 [00:06<00:02, 26.01it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  67%|██████▋   | 158/235 [00:06<00:02, 26.02it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  67%|██████▋   | 158/235 [00:06<00:02, 26.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  68%|██████▊   | 159/235 [00:06<00:02, 26.04it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  68%|██████▊   | 159/235 [00:06<00:02, 26.04it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  68%|██████▊   | 160/235 [00:06<00:02, 26.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  68%|██████▊   | 160/235 [00:06<00:02, 26.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▊   | 161/235 [00:06<00:02, 26.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▊   | 161/235 [00:06<00:02, 26.08it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▉   | 162/235 [00:06<00:02, 26.10it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▉   | 162/235 [00:06<00:02, 26.10it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▉   | 163/235 [00:06<00:02, 26.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  69%|██████▉   | 163/235 [00:06<00:02, 26.13it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  70%|██████▉   | 164/235 [00:06<00:02, 26.15it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  70%|██████▉   | 164/235 [00:06<00:02, 26.14it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  70%|███████   | 165/235 [00:06<00:02, 26.15it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  70%|███████   | 165/235 [00:06<00:02, 26.15it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████   | 166/235 [00:06<00:02, 26.18it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████   | 166/235 [00:06<00:02, 26.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████   | 167/235 [00:06<00:02, 26.19it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████   | 167/235 [00:06<00:02, 26.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████▏  | 168/235 [00:06<00:02, 26.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  71%|███████▏  | 168/235 [00:06<00:02, 26.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  72%|███████▏  | 169/235 [00:06<00:02, 26.20it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  72%|███████▏  | 169/235 [00:06<00:02, 26.20it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  72%|███████▏  | 170/235 [00:06<00:02, 26.23it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  72%|███████▏  | 170/235 [00:06<00:02, 26.23it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  73%|███████▎  | 171/235 [00:06<00:02, 26.24it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  73%|███████▎  | 171/235 [00:06<00:02, 26.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  73%|███████▎  | 172/235 [00:06<00:02, 26.27it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  73%|███████▎  | 172/235 [00:06<00:02, 26.27it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▎  | 173/235 [00:06<00:02, 26.29it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▎  | 173/235 [00:06<00:02, 26.28it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▍  | 174/235 [00:06<00:02, 26.31it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▍  | 174/235 [00:06<00:02, 26.31it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▍  | 175/235 [00:06<00:02, 26.33it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  74%|███████▍  | 175/235 [00:06<00:02, 26.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  75%|███████▍  | 176/235 [00:06<00:02, 26.35it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  75%|███████▍  | 176/235 [00:06<00:02, 26.35it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  75%|███████▌  | 177/235 [00:06<00:02, 26.36it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  75%|███████▌  | 177/235 [00:06<00:02, 26.36it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  76%|███████▌  | 178/235 [00:06<00:02, 26.38it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  76%|███████▌  | 178/235 [00:06<00:02, 26.38it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  76%|███████▌  | 179/235 [00:06<00:02, 26.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  76%|███████▌  | 179/235 [00:06<00:02, 26.39it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 180/235 [00:06<00:02, 26.41it/s, v_num=16, acc1/train=0.945, f1/train=0.945, precision/train=0.945, recall/train=0.945, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 180/235 [00:06<00:02, 26.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 181/235 [00:06<00:02, 26.42it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 181/235 [00:06<00:02, 26.42it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 182/235 [00:06<00:02, 26.44it/s, v_num=16, acc1/train=0.941, f1/train=0.941, precision/train=0.941, recall/train=0.941, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  77%|███████▋  | 182/235 [00:06<00:02, 26.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  78%|███████▊  | 183/235 [00:06<00:01, 26.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  78%|███████▊  | 183/235 [00:06<00:01, 26.46it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  78%|███████▊  | 184/235 [00:06<00:01, 26.48it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  78%|███████▊  | 184/235 [00:06<00:01, 26.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  79%|███████▊  | 185/235 [00:06<00:01, 26.49it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  79%|███████▊  | 185/235 [00:06<00:01, 26.49it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  79%|███████▉  | 186/235 [00:07<00:01, 26.51it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  79%|███████▉  | 186/235 [00:07<00:01, 26.51it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|███████▉  | 187/235 [00:07<00:01, 26.53it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|███████▉  | 187/235 [00:07<00:01, 26.52it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|████████  | 188/235 [00:07<00:01, 26.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|████████  | 188/235 [00:07<00:01, 26.55it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|████████  | 189/235 [00:07<00:01, 26.56it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  80%|████████  | 189/235 [00:07<00:01, 26.55it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  81%|████████  | 190/235 [00:07<00:01, 26.58it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  81%|████████  | 190/235 [00:07<00:01, 26.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  81%|████████▏ | 191/235 [00:07<00:01, 26.59it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  81%|████████▏ | 191/235 [00:07<00:01, 26.59it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  82%|████████▏ | 192/235 [00:07<00:01, 26.61it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  82%|████████▏ | 192/235 [00:07<00:01, 26.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  82%|████████▏ | 193/235 [00:07<00:01, 26.62it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  82%|████████▏ | 193/235 [00:07<00:01, 26.62it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 194/235 [00:07<00:01, 26.64it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 194/235 [00:07<00:01, 26.64it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 195/235 [00:07<00:01, 26.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 195/235 [00:07<00:01, 26.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 196/235 [00:07<00:01, 26.68it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  83%|████████▎ | 196/235 [00:07<00:01, 26.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  84%|████████▍ | 197/235 [00:07<00:01, 26.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  84%|████████▍ | 197/235 [00:07<00:01, 26.69it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  84%|████████▍ | 198/235 [00:07<00:01, 26.71it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  84%|████████▍ | 198/235 [00:07<00:01, 26.70it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  85%|████████▍ | 199/235 [00:07<00:01, 26.72it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  85%|████████▍ | 199/235 [00:07<00:01, 26.72it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  85%|████████▌ | 200/235 [00:07<00:01, 26.74it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  85%|████████▌ | 200/235 [00:07<00:01, 26.74it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▌ | 201/235 [00:07<00:01, 26.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▌ | 201/235 [00:07<00:01, 26.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▌ | 202/235 [00:07<00:01, 26.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▌ | 202/235 [00:07<00:01, 26.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▋ | 203/235 [00:07<00:01, 26.78it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  86%|████████▋ | 203/235 [00:07<00:01, 26.78it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  87%|████████▋ | 204/235 [00:07<00:01, 26.80it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  87%|████████▋ | 204/235 [00:07<00:01, 26.80it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  87%|████████▋ | 205/235 [00:07<00:01, 26.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  87%|████████▋ | 205/235 [00:07<00:01, 26.81it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  88%|████████▊ | 206/235 [00:07<00:01, 26.83it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  88%|████████▊ | 206/235 [00:07<00:01, 26.83it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  88%|████████▊ | 207/235 [00:07<00:01, 26.83it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  88%|████████▊ | 207/235 [00:07<00:01, 26.82it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▊ | 208/235 [00:07<00:01, 26.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▊ | 208/235 [00:07<00:01, 26.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▉ | 209/235 [00:07<00:00, 26.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▉ | 209/235 [00:07<00:00, 26.86it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▉ | 210/235 [00:07<00:00, 26.88it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  89%|████████▉ | 210/235 [00:07<00:00, 26.88it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  90%|████████▉ | 211/235 [00:07<00:00, 26.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  90%|████████▉ | 211/235 [00:07<00:00, 26.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  90%|█████████ | 212/235 [00:07<00:00, 26.90it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  90%|█████████ | 212/235 [00:07<00:00, 26.90it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████ | 213/235 [00:07<00:00, 26.91it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████ | 213/235 [00:07<00:00, 26.91it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████ | 214/235 [00:07<00:00, 26.93it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████ | 214/235 [00:07<00:00, 26.93it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████▏| 215/235 [00:07<00:00, 26.95it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  91%|█████████▏| 215/235 [00:07<00:00, 26.95it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  92%|█████████▏| 216/235 [00:08<00:00, 26.99it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  92%|█████████▏| 216/235 [00:08<00:00, 26.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  92%|█████████▏| 217/235 [00:08<00:00, 27.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  92%|█████████▏| 217/235 [00:08<00:00, 27.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  93%|█████████▎| 218/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  93%|█████████▎| 218/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  93%|█████████▎| 219/235 [00:08<00:00, 27.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  93%|█████████▎| 219/235 [00:08<00:00, 27.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▎| 220/235 [00:08<00:00, 27.16it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▎| 220/235 [00:08<00:00, 27.15it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▍| 221/235 [00:08<00:00, 27.20it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▍| 221/235 [00:08<00:00, 27.19it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▍| 222/235 [00:08<00:00, 27.24it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  94%|█████████▍| 222/235 [00:08<00:00, 27.23it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  95%|█████████▍| 223/235 [00:08<00:00, 27.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  95%|█████████▍| 223/235 [00:08<00:00, 27.28it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  95%|█████████▌| 224/235 [00:08<00:00, 27.32it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  95%|█████████▌| 224/235 [00:08<00:00, 27.32it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  96%|█████████▌| 225/235 [00:08<00:00, 27.36it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  96%|█████████▌| 225/235 [00:08<00:00, 27.36it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  96%|█████████▌| 226/235 [00:08<00:00, 27.40it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  96%|█████████▌| 226/235 [00:08<00:00, 27.40it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 227/235 [00:08<00:00, 27.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 227/235 [00:08<00:00, 27.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 228/235 [00:08<00:00, 27.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 228/235 [00:08<00:00, 27.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 229/235 [00:08<00:00, 27.52it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  97%|█████████▋| 229/235 [00:08<00:00, 27.52it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  98%|█████████▊| 230/235 [00:08<00:00, 27.56it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  98%|█████████▊| 230/235 [00:08<00:00, 27.56it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  98%|█████████▊| 231/235 [00:08<00:00, 27.60it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  98%|█████████▊| 231/235 [00:08<00:00, 27.59it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  99%|█████████▊| 232/235 [00:08<00:00, 27.63it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  99%|█████████▊| 232/235 [00:08<00:00, 27.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  99%|█████████▉| 233/235 [00:08<00:00, 27.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7:  99%|█████████▉| 233/235 [00:08<00:00, 27.67it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7: 100%|█████████▉| 234/235 [00:08<00:00, 27.71it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7: 100%|█████████▉| 234/235 [00:08<00:00, 27.71it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7: 100%|██████████| 235/235 [00:08<00:00, 27.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]
Epoch 7: 100%|██████████| 235/235 [00:08<00:00, 27.75it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.974, f1/val=0.974, precision/val=0.974, recall/val=0.974]

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Epoch 7: 100%|██████████| 235/235 [00:09<00:00, 24.18it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 7: 100%|██████████| 235/235 [00:09<00:00, 24.18it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 7:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   0%|          | 1/235 [00:00<02:42,  1.44it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   0%|          | 1/235 [00:00<02:42,  1.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   1%|          | 2/235 [00:00<01:25,  2.72it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   1%|          | 2/235 [00:00<01:25,  2.71it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   1%|▏         | 3/235 [00:00<01:00,  3.87it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   1%|▏         | 3/235 [00:00<01:00,  3.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   2%|▏         | 4/235 [00:00<00:46,  4.92it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   2%|▏         | 4/235 [00:00<00:46,  4.92it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   2%|▏         | 5/235 [00:00<00:38,  5.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   2%|▏         | 5/235 [00:00<00:39,  5.90it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 6/235 [00:00<00:33,  6.82it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 6/235 [00:00<00:33,  6.82it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 7/235 [00:00<00:29,  7.65it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 7/235 [00:00<00:29,  7.65it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 8/235 [00:00<00:26,  8.44it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   3%|▎         | 8/235 [00:00<00:26,  8.43it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   4%|▍         | 9/235 [00:00<00:24,  9.15it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   4%|▍         | 9/235 [00:00<00:24,  9.14it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   4%|▍         | 10/235 [00:01<00:22,  9.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   4%|▍         | 10/235 [00:01<00:22,  9.85it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   5%|▍         | 11/235 [00:01<00:21, 10.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   5%|▍         | 11/235 [00:01<00:21, 10.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   5%|▌         | 12/235 [00:01<00:20, 11.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   5%|▌         | 12/235 [00:01<00:20, 11.04it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▌         | 13/235 [00:01<00:19, 11.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▌         | 13/235 [00:01<00:19, 11.64it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▌         | 14/235 [00:01<00:18, 12.18it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▌         | 14/235 [00:01<00:18, 12.17it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▋         | 15/235 [00:01<00:17, 12.67it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   6%|▋         | 15/235 [00:01<00:17, 12.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   7%|▋         | 16/235 [00:01<00:16, 13.17it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   7%|▋         | 16/235 [00:01<00:16, 13.16it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   7%|▋         | 17/235 [00:01<00:16, 13.62it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   7%|▋         | 17/235 [00:01<00:16, 13.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   8%|▊         | 18/235 [00:01<00:15, 14.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   8%|▊         | 18/235 [00:01<00:15, 14.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   8%|▊         | 19/235 [00:01<00:14, 14.44it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   8%|▊         | 19/235 [00:01<00:14, 14.44it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▊         | 20/235 [00:01<00:14, 14.84it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▊         | 20/235 [00:01<00:14, 14.84it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▉         | 21/235 [00:01<00:14, 15.19it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▉         | 21/235 [00:01<00:14, 15.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▉         | 22/235 [00:01<00:13, 15.56it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   9%|▉         | 22/235 [00:01<00:13, 15.55it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  10%|▉         | 23/235 [00:01<00:13, 15.83it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  10%|▉         | 23/235 [00:01<00:13, 15.82it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  10%|█         | 24/235 [00:01<00:13, 16.10it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  10%|█         | 24/235 [00:01<00:13, 16.09it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█         | 25/235 [00:01<00:12, 16.35it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█         | 25/235 [00:01<00:12, 16.35it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█         | 26/235 [00:01<00:12, 16.60it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█         | 26/235 [00:01<00:12, 16.59it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█▏        | 27/235 [00:01<00:12, 16.87it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  11%|█▏        | 27/235 [00:01<00:12, 16.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  12%|█▏        | 28/235 [00:01<00:12, 17.16it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  12%|█▏        | 28/235 [00:01<00:12, 17.15it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  12%|█▏        | 29/235 [00:01<00:11, 17.41it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  12%|█▏        | 29/235 [00:01<00:11, 17.40it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  13%|█▎        | 30/235 [00:01<00:11, 17.63it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  13%|█▎        | 30/235 [00:01<00:11, 17.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  13%|█▎        | 31/235 [00:01<00:11, 17.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  13%|█▎        | 31/235 [00:01<00:11, 17.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▎        | 32/235 [00:01<00:11, 18.10it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▎        | 32/235 [00:01<00:11, 18.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▍        | 33/235 [00:01<00:11, 18.29it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▍        | 33/235 [00:01<00:11, 18.28it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▍        | 34/235 [00:01<00:10, 18.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  14%|█▍        | 34/235 [00:01<00:10, 18.47it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  15%|█▍        | 35/235 [00:01<00:10, 18.70it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  15%|█▍        | 35/235 [00:01<00:10, 18.70it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  15%|█▌        | 36/235 [00:01<00:10, 18.89it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  15%|█▌        | 36/235 [00:01<00:10, 18.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  16%|█▌        | 37/235 [00:01<00:10, 19.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  16%|█▌        | 37/235 [00:01<00:10, 19.09it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  16%|█▌        | 38/235 [00:01<00:10, 19.25it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  16%|█▌        | 38/235 [00:01<00:10, 19.25it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 39/235 [00:02<00:10, 19.45it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 39/235 [00:02<00:10, 19.44it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 40/235 [00:02<00:09, 19.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 40/235 [00:02<00:09, 19.60it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 41/235 [00:02<00:09, 19.76it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  17%|█▋        | 41/235 [00:02<00:09, 19.75it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  18%|█▊        | 42/235 [00:02<00:09, 19.93it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  18%|█▊        | 42/235 [00:02<00:09, 19.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  18%|█▊        | 43/235 [00:02<00:09, 20.06it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  18%|█▊        | 43/235 [00:02<00:09, 20.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  19%|█▊        | 44/235 [00:02<00:09, 20.19it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  19%|█▊        | 44/235 [00:02<00:09, 20.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  19%|█▉        | 45/235 [00:02<00:09, 20.35it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  19%|█▉        | 45/235 [00:02<00:09, 20.35it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|█▉        | 46/235 [00:02<00:09, 20.49it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|█▉        | 46/235 [00:02<00:09, 20.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|██        | 47/235 [00:02<00:09, 20.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|██        | 47/235 [00:02<00:09, 20.64it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|██        | 48/235 [00:02<00:09, 20.77it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  20%|██        | 48/235 [00:02<00:09, 20.77it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  21%|██        | 49/235 [00:02<00:08, 20.91it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  21%|██        | 49/235 [00:02<00:08, 20.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  21%|██▏       | 50/235 [00:02<00:08, 21.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  21%|██▏       | 50/235 [00:02<00:08, 21.03it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  22%|██▏       | 51/235 [00:02<00:08, 21.08it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  22%|██▏       | 51/235 [00:02<00:08, 21.08it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  22%|██▏       | 52/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  22%|██▏       | 52/235 [00:02<00:08, 21.16it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 53/235 [00:02<00:08, 21.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 53/235 [00:02<00:08, 21.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 54/235 [00:02<00:08, 21.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 54/235 [00:02<00:08, 21.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 55/235 [00:02<00:08, 21.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  23%|██▎       | 55/235 [00:02<00:08, 21.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  24%|██▍       | 56/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  24%|██▍       | 56/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  24%|██▍       | 57/235 [00:02<00:08, 21.53it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  24%|██▍       | 57/235 [00:02<00:08, 21.53it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  25%|██▍       | 58/235 [00:02<00:08, 21.60it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  25%|██▍       | 58/235 [00:02<00:08, 21.60it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  25%|██▌       | 59/235 [00:02<00:08, 21.67it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  25%|██▌       | 59/235 [00:02<00:08, 21.66it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▌       | 60/235 [00:02<00:08, 21.73it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▌       | 60/235 [00:02<00:08, 21.73it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▌       | 61/235 [00:02<00:07, 21.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▌       | 61/235 [00:02<00:07, 21.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▋       | 62/235 [00:02<00:07, 21.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  26%|██▋       | 62/235 [00:02<00:07, 21.94it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  27%|██▋       | 63/235 [00:02<00:07, 22.05it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  27%|██▋       | 63/235 [00:02<00:07, 22.05it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  27%|██▋       | 64/235 [00:02<00:07, 22.14it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  27%|██▋       | 64/235 [00:02<00:07, 22.13it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  28%|██▊       | 65/235 [00:02<00:07, 22.18it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  28%|██▊       | 65/235 [00:02<00:07, 22.18it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  28%|██▊       | 66/235 [00:02<00:07, 22.23it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  28%|██▊       | 66/235 [00:02<00:07, 22.23it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▊       | 67/235 [00:03<00:07, 22.29it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▊       | 67/235 [00:03<00:07, 22.28it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▉       | 68/235 [00:03<00:07, 22.34it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▉       | 68/235 [00:03<00:07, 22.34it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▉       | 69/235 [00:03<00:07, 22.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  29%|██▉       | 69/235 [00:03<00:07, 22.39it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  30%|██▉       | 70/235 [00:03<00:07, 22.44it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  30%|██▉       | 70/235 [00:03<00:07, 22.43it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  30%|███       | 71/235 [00:03<00:07, 22.53it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  30%|███       | 71/235 [00:03<00:07, 22.52it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███       | 72/235 [00:03<00:07, 22.60it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███       | 72/235 [00:03<00:07, 22.59it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███       | 73/235 [00:03<00:07, 22.63it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███       | 73/235 [00:03<00:07, 22.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███▏      | 74/235 [00:03<00:07, 22.68it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  31%|███▏      | 74/235 [00:03<00:07, 22.67it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  32%|███▏      | 75/235 [00:03<00:07, 22.72it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  32%|███▏      | 75/235 [00:03<00:07, 22.71it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  32%|███▏      | 76/235 [00:03<00:06, 22.76it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  32%|███▏      | 76/235 [00:03<00:06, 22.76it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  33%|███▎      | 77/235 [00:03<00:06, 22.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  33%|███▎      | 77/235 [00:03<00:06, 22.80it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  33%|███▎      | 78/235 [00:03<00:06, 22.84it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  33%|███▎      | 78/235 [00:03<00:06, 22.84it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▎      | 79/235 [00:03<00:06, 22.88it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▎      | 79/235 [00:03<00:06, 22.88it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▍      | 80/235 [00:03<00:06, 22.92it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▍      | 80/235 [00:03<00:06, 22.92it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▍      | 81/235 [00:03<00:06, 22.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  34%|███▍      | 81/235 [00:03<00:06, 22.95it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  35%|███▍      | 82/235 [00:03<00:06, 23.00it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  35%|███▍      | 82/235 [00:03<00:06, 22.99it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  35%|███▌      | 83/235 [00:03<00:06, 23.03it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  35%|███▌      | 83/235 [00:03<00:06, 23.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  36%|███▌      | 84/235 [00:03<00:06, 23.06it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  36%|███▌      | 84/235 [00:03<00:06, 23.06it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  36%|███▌      | 85/235 [00:03<00:06, 23.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  36%|███▌      | 85/235 [00:03<00:06, 23.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 86/235 [00:03<00:06, 23.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 86/235 [00:03<00:06, 23.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 87/235 [00:03<00:06, 23.23it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 87/235 [00:03<00:06, 23.23it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 88/235 [00:03<00:06, 23.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  37%|███▋      | 88/235 [00:03<00:06, 23.30it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  38%|███▊      | 89/235 [00:03<00:06, 23.36it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  38%|███▊      | 89/235 [00:03<00:06, 23.35it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  38%|███▊      | 90/235 [00:03<00:06, 23.42it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  38%|███▊      | 90/235 [00:03<00:06, 23.42it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  39%|███▊      | 91/235 [00:03<00:06, 23.47it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  39%|███▊      | 91/235 [00:03<00:06, 23.46it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  39%|███▉      | 92/235 [00:03<00:06, 23.54it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  39%|███▉      | 92/235 [00:03<00:06, 23.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|███▉      | 93/235 [00:03<00:06, 23.58it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|███▉      | 93/235 [00:03<00:06, 23.58it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|████      | 94/235 [00:03<00:05, 23.64it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|████      | 94/235 [00:03<00:05, 23.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|████      | 95/235 [00:04<00:05, 23.69it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  40%|████      | 95/235 [00:04<00:05, 23.69it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  41%|████      | 96/235 [00:04<00:05, 23.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  41%|████      | 96/235 [00:04<00:05, 23.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  41%|████▏     | 97/235 [00:04<00:05, 23.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  41%|████▏     | 97/235 [00:04<00:05, 23.79it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  42%|████▏     | 98/235 [00:04<00:05, 23.86it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  42%|████▏     | 98/235 [00:04<00:05, 23.85it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  42%|████▏     | 99/235 [00:04<00:05, 23.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  42%|████▏     | 99/235 [00:04<00:05, 23.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 100/235 [00:04<00:05, 23.93it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 100/235 [00:04<00:05, 23.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 101/235 [00:04<00:05, 23.98it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 101/235 [00:04<00:05, 23.97it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 102/235 [00:04<00:05, 24.02it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  43%|████▎     | 102/235 [00:04<00:05, 24.02it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  44%|████▍     | 103/235 [00:04<00:05, 24.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  44%|████▍     | 103/235 [00:04<00:05, 24.07it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  44%|████▍     | 104/235 [00:04<00:05, 24.12it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  44%|████▍     | 104/235 [00:04<00:05, 24.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  45%|████▍     | 105/235 [00:04<00:05, 24.16it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  45%|████▍     | 105/235 [00:04<00:05, 24.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  45%|████▌     | 106/235 [00:04<00:05, 24.21it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  45%|████▌     | 106/235 [00:04<00:05, 24.21it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▌     | 107/235 [00:04<00:05, 24.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▌     | 107/235 [00:04<00:05, 24.24it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▌     | 108/235 [00:04<00:05, 24.29it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▌     | 108/235 [00:04<00:05, 24.29it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▋     | 109/235 [00:04<00:05, 24.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  46%|████▋     | 109/235 [00:04<00:05, 24.32it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  47%|████▋     | 110/235 [00:04<00:05, 24.37it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  47%|████▋     | 110/235 [00:04<00:05, 24.37it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  47%|████▋     | 111/235 [00:04<00:05, 24.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  47%|████▋     | 111/235 [00:04<00:05, 24.40it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  48%|████▊     | 112/235 [00:04<00:05, 24.46it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  48%|████▊     | 112/235 [00:04<00:05, 24.45it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  48%|████▊     | 113/235 [00:04<00:04, 24.49it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  48%|████▊     | 113/235 [00:04<00:04, 24.49it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▊     | 114/235 [00:04<00:04, 24.54it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▊     | 114/235 [00:04<00:04, 24.54it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▉     | 115/235 [00:04<00:04, 24.56it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▉     | 115/235 [00:04<00:04, 24.56it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▉     | 116/235 [00:04<00:04, 24.60it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  49%|████▉     | 116/235 [00:04<00:04, 24.59it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  50%|████▉     | 117/235 [00:04<00:04, 24.63it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  50%|████▉     | 117/235 [00:04<00:04, 24.63it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  50%|█████     | 118/235 [00:04<00:04, 24.67it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  50%|█████     | 118/235 [00:04<00:04, 24.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████     | 119/235 [00:04<00:04, 24.70it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████     | 119/235 [00:04<00:04, 24.70it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████     | 120/235 [00:04<00:04, 24.74it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████     | 120/235 [00:04<00:04, 24.74it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████▏    | 121/235 [00:04<00:04, 24.76it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  51%|█████▏    | 121/235 [00:04<00:04, 24.75it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  52%|█████▏    | 122/235 [00:04<00:04, 24.80it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  52%|█████▏    | 122/235 [00:04<00:04, 24.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  52%|█████▏    | 123/235 [00:04<00:04, 24.83it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  52%|█████▏    | 123/235 [00:04<00:04, 24.83it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  53%|█████▎    | 124/235 [00:04<00:04, 24.87it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  53%|█████▎    | 124/235 [00:04<00:04, 24.87it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  53%|█████▎    | 125/235 [00:05<00:04, 24.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  53%|█████▎    | 125/235 [00:05<00:04, 24.89it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▎    | 126/235 [00:05<00:04, 24.92it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▎    | 126/235 [00:05<00:04, 24.92it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▍    | 127/235 [00:05<00:04, 24.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▍    | 127/235 [00:05<00:04, 24.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▍    | 128/235 [00:05<00:04, 24.99it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  54%|█████▍    | 128/235 [00:05<00:04, 24.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  55%|█████▍    | 129/235 [00:05<00:04, 24.99it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  55%|█████▍    | 129/235 [00:05<00:04, 24.99it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  55%|█████▌    | 130/235 [00:05<00:04, 25.04it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  55%|█████▌    | 130/235 [00:05<00:04, 25.03it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  56%|█████▌    | 131/235 [00:05<00:04, 25.06it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  56%|█████▌    | 131/235 [00:05<00:04, 25.06it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  56%|█████▌    | 132/235 [00:05<00:04, 25.10it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  56%|█████▌    | 132/235 [00:05<00:04, 25.10it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 133/235 [00:05<00:04, 25.13it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 133/235 [00:05<00:04, 25.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 134/235 [00:05<00:04, 25.17it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 134/235 [00:05<00:04, 25.17it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 135/235 [00:05<00:03, 25.19it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  57%|█████▋    | 135/235 [00:05<00:03, 25.19it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  58%|█████▊    | 136/235 [00:05<00:03, 25.22it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  58%|█████▊    | 136/235 [00:05<00:03, 25.21it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  58%|█████▊    | 137/235 [00:05<00:03, 25.26it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  58%|█████▊    | 137/235 [00:05<00:03, 25.25it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  59%|█████▊    | 138/235 [00:05<00:03, 25.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  59%|█████▊    | 138/235 [00:05<00:03, 25.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  59%|█████▉    | 139/235 [00:05<00:03, 25.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  59%|█████▉    | 139/235 [00:05<00:03, 25.32it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|█████▉    | 140/235 [00:05<00:03, 25.34it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|█████▉    | 140/235 [00:05<00:03, 25.34it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|██████    | 141/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|██████    | 141/235 [00:05<00:03, 25.37it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|██████    | 142/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  60%|██████    | 142/235 [00:05<00:03, 25.37it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  61%|██████    | 143/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  61%|██████    | 143/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  61%|██████▏   | 144/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  61%|██████▏   | 144/235 [00:05<00:03, 25.38it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  62%|██████▏   | 145/235 [00:05<00:03, 25.39it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  62%|██████▏   | 145/235 [00:05<00:03, 25.39it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  62%|██████▏   | 146/235 [00:05<00:03, 25.40it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  62%|██████▏   | 146/235 [00:05<00:03, 25.39it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 147/235 [00:05<00:03, 25.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 147/235 [00:05<00:03, 25.40it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 148/235 [00:05<00:03, 25.41it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 148/235 [00:05<00:03, 25.41it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 149/235 [00:05<00:03, 25.43it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  63%|██████▎   | 149/235 [00:05<00:03, 25.43it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  64%|██████▍   | 150/235 [00:05<00:03, 25.46it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  64%|██████▍   | 150/235 [00:05<00:03, 25.45it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  64%|██████▍   | 151/235 [00:05<00:03, 25.48it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  64%|██████▍   | 151/235 [00:05<00:03, 25.48it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  65%|██████▍   | 152/235 [00:05<00:03, 25.47it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  65%|██████▍   | 152/235 [00:05<00:03, 25.46it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  65%|██████▌   | 153/235 [00:06<00:03, 25.47it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  65%|██████▌   | 153/235 [00:06<00:03, 25.47it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▌   | 154/235 [00:06<00:03, 25.48it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▌   | 154/235 [00:06<00:03, 25.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▌   | 155/235 [00:06<00:03, 25.49it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▌   | 155/235 [00:06<00:03, 25.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▋   | 156/235 [00:06<00:03, 25.52it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  66%|██████▋   | 156/235 [00:06<00:03, 25.52it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  67%|██████▋   | 157/235 [00:06<00:03, 25.54it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  67%|██████▋   | 157/235 [00:06<00:03, 25.54it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  67%|██████▋   | 158/235 [00:06<00:03, 25.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  67%|██████▋   | 158/235 [00:06<00:03, 25.53it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  68%|██████▊   | 159/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  68%|██████▊   | 159/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  68%|██████▊   | 160/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  68%|██████▊   | 160/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▊   | 161/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▊   | 161/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▉   | 162/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▉   | 162/235 [00:06<00:02, 25.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▉   | 163/235 [00:06<00:02, 25.59it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  69%|██████▉   | 163/235 [00:06<00:02, 25.59it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  70%|██████▉   | 164/235 [00:06<00:02, 25.60it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  70%|██████▉   | 164/235 [00:06<00:02, 25.60it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  70%|███████   | 165/235 [00:06<00:02, 25.63it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  70%|███████   | 165/235 [00:06<00:02, 25.62it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████   | 166/235 [00:06<00:02, 25.65it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████   | 166/235 [00:06<00:02, 25.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████   | 167/235 [00:06<00:02, 25.67it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████   | 167/235 [00:06<00:02, 25.67it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████▏  | 168/235 [00:06<00:02, 25.68it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  71%|███████▏  | 168/235 [00:06<00:02, 25.68it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  72%|███████▏  | 169/235 [00:06<00:02, 25.70it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  72%|███████▏  | 169/235 [00:06<00:02, 25.70it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  72%|███████▏  | 170/235 [00:06<00:02, 25.72it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  72%|███████▏  | 170/235 [00:06<00:02, 25.72it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  73%|███████▎  | 171/235 [00:06<00:02, 25.74it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  73%|███████▎  | 171/235 [00:06<00:02, 25.74it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  73%|███████▎  | 172/235 [00:06<00:02, 25.76it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  73%|███████▎  | 172/235 [00:06<00:02, 25.76it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▎  | 173/235 [00:06<00:02, 25.79it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▎  | 173/235 [00:06<00:02, 25.79it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▍  | 174/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▍  | 174/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▍  | 175/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  74%|███████▍  | 175/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  75%|███████▍  | 176/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  75%|███████▍  | 176/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  75%|███████▌  | 177/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  75%|███████▌  | 177/235 [00:06<00:02, 25.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  76%|███████▌  | 178/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  76%|███████▌  | 178/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  76%|███████▌  | 179/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  76%|███████▌  | 179/235 [00:06<00:02, 25.82it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 180/235 [00:06<00:02, 25.85it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 180/235 [00:06<00:02, 25.85it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 181/235 [00:06<00:02, 25.87it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 181/235 [00:06<00:02, 25.87it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 182/235 [00:07<00:02, 25.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  77%|███████▋  | 182/235 [00:07<00:02, 25.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  78%|███████▊  | 183/235 [00:07<00:02, 25.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  78%|███████▊  | 183/235 [00:07<00:02, 25.91it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  78%|███████▊  | 184/235 [00:07<00:01, 25.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  78%|███████▊  | 184/235 [00:07<00:01, 25.93it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  79%|███████▊  | 185/235 [00:07<00:01, 25.95it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  79%|███████▊  | 185/235 [00:07<00:01, 25.95it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  79%|███████▉  | 186/235 [00:07<00:01, 25.97it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  79%|███████▉  | 186/235 [00:07<00:01, 25.97it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|███████▉  | 187/235 [00:07<00:01, 25.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|███████▉  | 187/235 [00:07<00:01, 25.99it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|████████  | 188/235 [00:07<00:01, 26.01it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|████████  | 188/235 [00:07<00:01, 26.01it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|████████  | 189/235 [00:07<00:01, 26.03it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  80%|████████  | 189/235 [00:07<00:01, 26.03it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  81%|████████  | 190/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  81%|████████  | 190/235 [00:07<00:01, 26.05it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  81%|████████▏ | 191/235 [00:07<00:01, 26.07it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  81%|████████▏ | 191/235 [00:07<00:01, 26.06it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  82%|████████▏ | 192/235 [00:07<00:01, 26.09it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  82%|████████▏ | 192/235 [00:07<00:01, 26.09it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  82%|████████▏ | 193/235 [00:07<00:01, 26.11it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  82%|████████▏ | 193/235 [00:07<00:01, 26.10it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 194/235 [00:07<00:01, 26.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 194/235 [00:07<00:01, 26.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 195/235 [00:07<00:01, 26.14it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 195/235 [00:07<00:01, 26.13it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 196/235 [00:07<00:01, 26.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  83%|████████▎ | 196/235 [00:07<00:01, 26.16it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  84%|████████▍ | 197/235 [00:07<00:01, 26.18it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  84%|████████▍ | 197/235 [00:07<00:01, 26.17it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  84%|████████▍ | 198/235 [00:07<00:01, 26.20it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  84%|████████▍ | 198/235 [00:07<00:01, 26.20it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  85%|████████▍ | 199/235 [00:07<00:01, 26.22it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  85%|████████▍ | 199/235 [00:07<00:01, 26.21it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  85%|████████▌ | 200/235 [00:07<00:01, 26.23it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  85%|████████▌ | 200/235 [00:07<00:01, 26.23it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▌ | 201/235 [00:07<00:01, 26.24it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▌ | 201/235 [00:07<00:01, 26.24it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▌ | 202/235 [00:07<00:01, 26.26it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▌ | 202/235 [00:07<00:01, 26.26it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▋ | 203/235 [00:07<00:01, 26.28it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  86%|████████▋ | 203/235 [00:07<00:01, 26.27it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  87%|████████▋ | 204/235 [00:07<00:01, 26.30it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  87%|████████▋ | 204/235 [00:07<00:01, 26.30it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  87%|████████▋ | 205/235 [00:07<00:01, 26.32it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  87%|████████▋ | 205/235 [00:07<00:01, 26.32it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  88%|████████▊ | 206/235 [00:07<00:01, 26.34it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  88%|████████▊ | 206/235 [00:07<00:01, 26.33it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  88%|████████▊ | 207/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  88%|████████▊ | 207/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▊ | 208/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▊ | 208/235 [00:07<00:01, 26.31it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▉ | 209/235 [00:07<00:00, 26.32it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▉ | 209/235 [00:07<00:00, 26.31it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▉ | 210/235 [00:07<00:00, 26.31it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  89%|████████▉ | 210/235 [00:07<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  90%|████████▉ | 211/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  90%|████████▉ | 211/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  90%|█████████ | 212/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  90%|█████████ | 212/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████ | 213/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████ | 213/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████ | 214/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████ | 214/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████▏| 215/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  91%|█████████▏| 215/235 [00:08<00:00, 26.31it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  92%|█████████▏| 216/235 [00:08<00:00, 26.35it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  92%|█████████▏| 216/235 [00:08<00:00, 26.35it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  92%|█████████▏| 217/235 [00:08<00:00, 26.40it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  92%|█████████▏| 217/235 [00:08<00:00, 26.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  93%|█████████▎| 218/235 [00:08<00:00, 26.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  93%|█████████▎| 218/235 [00:08<00:00, 26.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  93%|█████████▎| 219/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  93%|█████████▎| 219/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▎| 220/235 [00:08<00:00, 26.52it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▎| 220/235 [00:08<00:00, 26.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▍| 221/235 [00:08<00:00, 26.56it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▍| 221/235 [00:08<00:00, 26.56it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▍| 222/235 [00:08<00:00, 26.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  94%|█████████▍| 222/235 [00:08<00:00, 26.60it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  95%|█████████▍| 223/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  95%|█████████▍| 223/235 [00:08<00:00, 26.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  95%|█████████▌| 224/235 [00:08<00:00, 26.69it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  95%|█████████▌| 224/235 [00:08<00:00, 26.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  96%|█████████▌| 225/235 [00:08<00:00, 26.71it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  96%|█████████▌| 225/235 [00:08<00:00, 26.70it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  96%|█████████▌| 226/235 [00:08<00:00, 26.75it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  96%|█████████▌| 226/235 [00:08<00:00, 26.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 227/235 [00:08<00:00, 26.79it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 227/235 [00:08<00:00, 26.79it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 228/235 [00:08<00:00, 26.83it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 228/235 [00:08<00:00, 26.83it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 229/235 [00:08<00:00, 26.86it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  97%|█████████▋| 229/235 [00:08<00:00, 26.85it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  98%|█████████▊| 230/235 [00:08<00:00, 26.89it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  98%|█████████▊| 230/235 [00:08<00:00, 26.89it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  98%|█████████▊| 231/235 [00:08<00:00, 26.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  98%|█████████▊| 231/235 [00:08<00:00, 26.91it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  99%|█████████▊| 232/235 [00:08<00:00, 26.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  99%|█████████▊| 232/235 [00:08<00:00, 26.95it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  99%|█████████▉| 233/235 [00:08<00:00, 26.99it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:  99%|█████████▉| 233/235 [00:08<00:00, 26.99it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8: 100%|█████████▉| 234/235 [00:08<00:00, 27.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8: 100%|█████████▉| 234/235 [00:08<00:00, 27.03it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8: 100%|██████████| 235/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8: 100%|██████████| 235/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8: 100%|██████████| 235/235 [00:08<00:00, 27.07it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 8:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   0%|          | 0/235 [00:00<?, ?it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   0%|          | 1/235 [00:00<02:46,  1.41it/s, v_num=16, acc1/train=0.979, f1/train=0.979, precision/train=0.979, recall/train=0.979, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   0%|          | 1/235 [00:00<02:46,  1.41it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   1%|          | 2/235 [00:00<01:27,  2.67it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   1%|          | 2/235 [00:00<01:27,  2.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   1%|▏         | 3/235 [00:00<01:00,  3.85it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   1%|▏         | 3/235 [00:00<01:00,  3.84it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   2%|▏         | 4/235 [00:00<00:47,  4.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   2%|▏         | 4/235 [00:00<00:47,  4.88it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   2%|▏         | 5/235 [00:00<00:39,  5.81it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   2%|▏         | 5/235 [00:00<00:39,  5.81it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 6/235 [00:00<00:34,  6.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 6/235 [00:00<00:34,  6.66it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 7/235 [00:00<00:30,  7.47it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 7/235 [00:00<00:30,  7.47it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 8/235 [00:00<00:27,  8.22it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   3%|▎         | 8/235 [00:00<00:27,  8.21it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   4%|▍         | 9/235 [00:01<00:25,  8.90it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   4%|▍         | 9/235 [00:01<00:25,  8.90it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   4%|▍         | 10/235 [00:01<00:23,  9.55it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   4%|▍         | 10/235 [00:01<00:23,  9.54it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   5%|▍         | 11/235 [00:01<00:22, 10.14it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   5%|▍         | 11/235 [00:01<00:22, 10.13it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   5%|▌         | 12/235 [00:01<00:20, 10.66it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   5%|▌         | 12/235 [00:01<00:20, 10.65it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▌         | 13/235 [00:01<00:19, 11.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▌         | 13/235 [00:01<00:19, 11.17it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▌         | 14/235 [00:01<00:18, 11.67it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▌         | 14/235 [00:01<00:18, 11.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▋         | 15/235 [00:01<00:18, 12.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   6%|▋         | 15/235 [00:01<00:18, 12.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   7%|▋         | 16/235 [00:01<00:17, 12.55it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   7%|▋         | 16/235 [00:01<00:17, 12.54it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   7%|▋         | 17/235 [00:01<00:16, 12.94it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   7%|▋         | 17/235 [00:01<00:16, 12.94it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   8%|▊         | 18/235 [00:01<00:16, 13.33it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   8%|▊         | 18/235 [00:01<00:16, 13.33it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   8%|▊         | 19/235 [00:01<00:15, 13.70it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   8%|▊         | 19/235 [00:01<00:15, 13.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▊         | 20/235 [00:01<00:15, 14.05it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▊         | 20/235 [00:01<00:15, 14.04it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▉         | 21/235 [00:01<00:14, 14.44it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▉         | 21/235 [00:01<00:14, 14.44it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▉         | 22/235 [00:01<00:14, 14.78it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:   9%|▉         | 22/235 [00:01<00:14, 14.77it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  10%|▉         | 23/235 [00:01<00:14, 15.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  10%|▉         | 23/235 [00:01<00:14, 15.12it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  10%|█         | 24/235 [00:01<00:13, 15.44it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  10%|█         | 24/235 [00:01<00:13, 15.43it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█         | 25/235 [00:01<00:13, 15.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█         | 25/235 [00:01<00:13, 15.75it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█         | 26/235 [00:01<00:13, 16.04it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█         | 26/235 [00:01<00:13, 16.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█▏        | 27/235 [00:01<00:12, 16.34it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  11%|█▏        | 27/235 [00:01<00:12, 16.33it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  12%|█▏        | 28/235 [00:01<00:12, 16.59it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  12%|█▏        | 28/235 [00:01<00:12, 16.58it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  12%|█▏        | 29/235 [00:01<00:12, 16.87it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  12%|█▏        | 29/235 [00:01<00:12, 16.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  13%|█▎        | 30/235 [00:01<00:11, 17.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  13%|█▎        | 30/235 [00:01<00:11, 17.10it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  13%|█▎        | 31/235 [00:01<00:11, 17.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  13%|█▎        | 31/235 [00:01<00:11, 17.34it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▎        | 32/235 [00:01<00:11, 17.56it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▎        | 32/235 [00:01<00:11, 17.55it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▍        | 33/235 [00:01<00:11, 17.77it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▍        | 33/235 [00:01<00:11, 17.76it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▍        | 34/235 [00:01<00:11, 18.00it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  14%|█▍        | 34/235 [00:01<00:11, 18.00it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  15%|█▍        | 35/235 [00:01<00:10, 18.20it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  15%|█▍        | 35/235 [00:01<00:10, 18.20it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  15%|█▌        | 36/235 [00:01<00:10, 18.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  15%|█▌        | 36/235 [00:01<00:10, 18.39it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  16%|█▌        | 37/235 [00:01<00:10, 18.59it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  16%|█▌        | 37/235 [00:01<00:10, 18.58it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  16%|█▌        | 38/235 [00:02<00:10, 18.79it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  16%|█▌        | 38/235 [00:02<00:10, 18.79it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 39/235 [00:02<00:10, 18.97it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 39/235 [00:02<00:10, 18.96it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 40/235 [00:02<00:10, 19.16it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 40/235 [00:02<00:10, 19.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 41/235 [00:02<00:10, 19.32it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  17%|█▋        | 41/235 [00:02<00:10, 19.32it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  18%|█▊        | 42/235 [00:02<00:09, 19.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  18%|█▊        | 42/235 [00:02<00:09, 19.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  18%|█▊        | 43/235 [00:02<00:09, 19.64it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  18%|█▊        | 43/235 [00:02<00:09, 19.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  19%|█▊        | 44/235 [00:02<00:09, 19.81it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  19%|█▊        | 44/235 [00:02<00:09, 19.80it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  19%|█▉        | 45/235 [00:02<00:09, 19.95it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  19%|█▉        | 45/235 [00:02<00:09, 19.94it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|█▉        | 46/235 [00:02<00:09, 20.11it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|█▉        | 46/235 [00:02<00:09, 20.11it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|██        | 47/235 [00:02<00:09, 20.24it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|██        | 47/235 [00:02<00:09, 20.24it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|██        | 48/235 [00:02<00:09, 20.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  20%|██        | 48/235 [00:02<00:09, 20.39it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  21%|██        | 49/235 [00:02<00:09, 20.52it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  21%|██        | 49/235 [00:02<00:09, 20.51it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  21%|██▏       | 50/235 [00:02<00:08, 20.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  21%|██▏       | 50/235 [00:02<00:08, 20.62it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  22%|██▏       | 51/235 [00:02<00:08, 20.77it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  22%|██▏       | 51/235 [00:02<00:08, 20.77it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  22%|██▏       | 52/235 [00:02<00:08, 20.88it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  22%|██▏       | 52/235 [00:02<00:08, 20.88it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 53/235 [00:02<00:08, 21.01it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 53/235 [00:02<00:08, 21.01it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 54/235 [00:02<00:08, 21.12it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 54/235 [00:02<00:08, 21.11it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 55/235 [00:02<00:08, 21.24it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  23%|██▎       | 55/235 [00:02<00:08, 21.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  24%|██▍       | 56/235 [00:02<00:08, 21.34it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  24%|██▍       | 56/235 [00:02<00:08, 21.34it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  24%|██▍       | 57/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  24%|██▍       | 57/235 [00:02<00:08, 21.46it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  25%|██▍       | 58/235 [00:02<00:08, 21.56it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  25%|██▍       | 58/235 [00:02<00:08, 21.56it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  25%|██▌       | 59/235 [00:02<00:08, 21.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  25%|██▌       | 59/235 [00:02<00:08, 21.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▌       | 60/235 [00:02<00:08, 21.77it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▌       | 60/235 [00:02<00:08, 21.77it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▌       | 61/235 [00:02<00:07, 21.88it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▌       | 61/235 [00:02<00:07, 21.88it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▋       | 62/235 [00:02<00:07, 21.95it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  26%|██▋       | 62/235 [00:02<00:07, 21.94it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  27%|██▋       | 63/235 [00:02<00:07, 22.06it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  27%|██▋       | 63/235 [00:02<00:07, 22.05it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  27%|██▋       | 64/235 [00:02<00:07, 22.14it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  27%|██▋       | 64/235 [00:02<00:07, 22.14it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  28%|██▊       | 65/235 [00:02<00:07, 22.24it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  28%|██▊       | 65/235 [00:02<00:07, 22.24it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  28%|██▊       | 66/235 [00:02<00:07, 22.32it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  28%|██▊       | 66/235 [00:02<00:07, 22.32it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▊       | 67/235 [00:02<00:07, 22.41it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▊       | 67/235 [00:02<00:07, 22.41it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▉       | 68/235 [00:03<00:07, 22.49it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▉       | 68/235 [00:03<00:07, 22.48it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▉       | 69/235 [00:03<00:07, 22.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  29%|██▉       | 69/235 [00:03<00:07, 22.58it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  30%|██▉       | 70/235 [00:03<00:07, 22.66it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  30%|██▉       | 70/235 [00:03<00:07, 22.65it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  30%|███       | 71/235 [00:03<00:07, 22.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  30%|███       | 71/235 [00:03<00:07, 22.74it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███       | 72/235 [00:03<00:07, 22.82it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███       | 72/235 [00:03<00:07, 22.81it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███       | 73/235 [00:03<00:07, 22.91it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███       | 73/235 [00:03<00:07, 22.90it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███▏      | 74/235 [00:03<00:07, 22.97it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  31%|███▏      | 74/235 [00:03<00:07, 22.96it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  32%|███▏      | 75/235 [00:03<00:06, 23.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  32%|███▏      | 75/235 [00:03<00:06, 23.05it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  32%|███▏      | 76/235 [00:03<00:06, 23.10it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  32%|███▏      | 76/235 [00:03<00:06, 23.09it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  33%|███▎      | 77/235 [00:03<00:06, 23.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  33%|███▎      | 77/235 [00:03<00:06, 23.18it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  33%|███▎      | 78/235 [00:03<00:06, 23.24it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  33%|███▎      | 78/235 [00:03<00:06, 23.24it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▎      | 79/235 [00:03<00:06, 23.32it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▎      | 79/235 [00:03<00:06, 23.31it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▍      | 80/235 [00:03<00:06, 23.38it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▍      | 80/235 [00:03<00:06, 23.37it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▍      | 81/235 [00:03<00:06, 23.45it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  34%|███▍      | 81/235 [00:03<00:06, 23.45it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  35%|███▍      | 82/235 [00:03<00:06, 23.51it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  35%|███▍      | 82/235 [00:03<00:06, 23.50it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  35%|███▌      | 83/235 [00:03<00:06, 23.58it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  35%|███▌      | 83/235 [00:03<00:06, 23.58it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  36%|███▌      | 84/235 [00:03<00:06, 23.63it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  36%|███▌      | 84/235 [00:03<00:06, 23.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  36%|███▌      | 85/235 [00:03<00:06, 23.70it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  36%|███▌      | 85/235 [00:03<00:06, 23.70it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 86/235 [00:03<00:06, 23.75it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 86/235 [00:03<00:06, 23.74it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 87/235 [00:03<00:06, 23.80it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 87/235 [00:03<00:06, 23.80it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 88/235 [00:03<00:06, 23.85it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  37%|███▋      | 88/235 [00:03<00:06, 23.85it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  38%|███▊      | 89/235 [00:03<00:06, 23.91it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  38%|███▊      | 89/235 [00:03<00:06, 23.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  38%|███▊      | 90/235 [00:03<00:06, 23.96it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  38%|███▊      | 90/235 [00:03<00:06, 23.96it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  39%|███▊      | 91/235 [00:03<00:05, 24.03it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  39%|███▊      | 91/235 [00:03<00:05, 24.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  39%|███▉      | 92/235 [00:03<00:05, 24.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  39%|███▉      | 92/235 [00:03<00:05, 24.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|███▉      | 93/235 [00:03<00:05, 24.14it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|███▉      | 93/235 [00:03<00:05, 24.13it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|████      | 94/235 [00:03<00:05, 24.18it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|████      | 94/235 [00:03<00:05, 24.17it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|████      | 95/235 [00:03<00:05, 24.24it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  40%|████      | 95/235 [00:03<00:05, 24.23it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  41%|████      | 96/235 [00:03<00:05, 24.28it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  41%|████      | 96/235 [00:03<00:05, 24.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  41%|████▏     | 97/235 [00:03<00:05, 24.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  41%|████▏     | 97/235 [00:03<00:05, 24.28it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  42%|████▏     | 98/235 [00:04<00:05, 24.30it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  42%|████▏     | 98/235 [00:04<00:05, 24.30it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  42%|████▏     | 99/235 [00:04<00:05, 24.32it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  42%|████▏     | 99/235 [00:04<00:05, 24.31it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 100/235 [00:04<00:05, 24.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 100/235 [00:04<00:05, 24.34it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 101/235 [00:04<00:05, 24.36it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 101/235 [00:04<00:05, 24.35it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 102/235 [00:04<00:05, 24.37it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  43%|████▎     | 102/235 [00:04<00:05, 24.37it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  44%|████▍     | 103/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  44%|████▍     | 103/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  44%|████▍     | 104/235 [00:04<00:05, 24.40it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  44%|████▍     | 104/235 [00:04<00:05, 24.40it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  45%|████▍     | 105/235 [00:04<00:05, 24.36it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  45%|████▍     | 105/235 [00:04<00:05, 24.36it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  45%|████▌     | 106/235 [00:04<00:05, 24.38it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  45%|████▌     | 106/235 [00:04<00:05, 24.37it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▌     | 107/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▌     | 107/235 [00:04<00:05, 24.39it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▌     | 108/235 [00:04<00:05, 24.41it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▌     | 108/235 [00:04<00:05, 24.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▋     | 109/235 [00:04<00:05, 24.42it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  46%|████▋     | 109/235 [00:04<00:05, 24.42it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  47%|████▋     | 110/235 [00:04<00:05, 24.44it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  47%|████▋     | 110/235 [00:04<00:05, 24.44it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  47%|████▋     | 111/235 [00:04<00:05, 24.45it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  47%|████▋     | 111/235 [00:04<00:05, 24.45it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  48%|████▊     | 112/235 [00:04<00:05, 24.47it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  48%|████▊     | 112/235 [00:04<00:05, 24.47it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  48%|████▊     | 113/235 [00:04<00:04, 24.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  48%|████▊     | 113/235 [00:04<00:04, 24.48it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▊     | 114/235 [00:04<00:04, 24.50it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▊     | 114/235 [00:04<00:04, 24.50it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▉     | 115/235 [00:04<00:04, 24.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▉     | 115/235 [00:04<00:04, 24.52it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▉     | 116/235 [00:04<00:04, 24.53it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  49%|████▉     | 116/235 [00:04<00:04, 24.53it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  50%|████▉     | 117/235 [00:04<00:04, 24.55it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  50%|████▉     | 117/235 [00:04<00:04, 24.55it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  50%|█████     | 118/235 [00:04<00:04, 24.57it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  50%|█████     | 118/235 [00:04<00:04, 24.56it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████     | 119/235 [00:04<00:04, 24.58it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████     | 119/235 [00:04<00:04, 24.58it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████     | 120/235 [00:04<00:04, 24.60it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████     | 120/235 [00:04<00:04, 24.59it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████▏    | 121/235 [00:04<00:04, 24.61it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  51%|█████▏    | 121/235 [00:04<00:04, 24.61it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  52%|█████▏    | 122/235 [00:04<00:04, 24.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  52%|█████▏    | 122/235 [00:04<00:04, 24.62it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  52%|█████▏    | 123/235 [00:04<00:04, 24.64it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  52%|█████▏    | 123/235 [00:04<00:04, 24.64it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  53%|█████▎    | 124/235 [00:05<00:04, 24.66it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  53%|█████▎    | 124/235 [00:05<00:04, 24.65it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  53%|█████▎    | 125/235 [00:05<00:04, 24.67it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  53%|█████▎    | 125/235 [00:05<00:04, 24.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▎    | 126/235 [00:05<00:04, 24.68it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▎    | 126/235 [00:05<00:04, 24.68it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▍    | 127/235 [00:05<00:04, 24.70it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▍    | 127/235 [00:05<00:04, 24.69it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▍    | 128/235 [00:05<00:04, 24.71it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  54%|█████▍    | 128/235 [00:05<00:04, 24.70it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  55%|█████▍    | 129/235 [00:05<00:04, 24.72it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  55%|█████▍    | 129/235 [00:05<00:04, 24.72it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  55%|█████▌    | 130/235 [00:05<00:04, 24.73it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  55%|█████▌    | 130/235 [00:05<00:04, 24.73it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  56%|█████▌    | 131/235 [00:05<00:04, 24.74it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  56%|█████▌    | 131/235 [00:05<00:04, 24.74it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  56%|█████▌    | 132/235 [00:05<00:04, 24.75it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  56%|█████▌    | 132/235 [00:05<00:04, 24.75it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 133/235 [00:05<00:04, 24.77it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 133/235 [00:05<00:04, 24.76it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 134/235 [00:05<00:04, 24.78it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 134/235 [00:05<00:04, 24.77it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 135/235 [00:05<00:04, 24.79it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  57%|█████▋    | 135/235 [00:05<00:04, 24.79it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  58%|█████▊    | 136/235 [00:05<00:03, 24.80it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  58%|█████▊    | 136/235 [00:05<00:03, 24.79it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  58%|█████▊    | 137/235 [00:05<00:03, 24.81it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  58%|█████▊    | 137/235 [00:05<00:03, 24.80it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  59%|█████▊    | 138/235 [00:05<00:03, 24.82it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  59%|█████▊    | 138/235 [00:05<00:03, 24.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  59%|█████▉    | 139/235 [00:05<00:03, 24.83it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  59%|█████▉    | 139/235 [00:05<00:03, 24.83it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|█████▉    | 140/235 [00:05<00:03, 24.84it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|█████▉    | 140/235 [00:05<00:03, 24.84it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|██████    | 141/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|██████    | 141/235 [00:05<00:03, 24.85it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|██████    | 142/235 [00:05<00:03, 24.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  60%|██████    | 142/235 [00:05<00:03, 24.86it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  61%|██████    | 143/235 [00:05<00:03, 24.87it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  61%|██████    | 143/235 [00:05<00:03, 24.87it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  61%|██████▏   | 144/235 [00:05<00:03, 24.88it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  61%|██████▏   | 144/235 [00:05<00:03, 24.88it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  62%|██████▏   | 145/235 [00:05<00:03, 24.89it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  62%|██████▏   | 145/235 [00:05<00:03, 24.89it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  62%|██████▏   | 146/235 [00:05<00:03, 24.90it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  62%|██████▏   | 146/235 [00:05<00:03, 24.90it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 147/235 [00:05<00:03, 24.91it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 147/235 [00:05<00:03, 24.91it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 148/235 [00:05<00:03, 24.92it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 148/235 [00:05<00:03, 24.91it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 149/235 [00:05<00:03, 24.93it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  63%|██████▎   | 149/235 [00:05<00:03, 24.92it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  64%|██████▍   | 150/235 [00:06<00:03, 24.93it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  64%|██████▍   | 150/235 [00:06<00:03, 24.93it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  64%|██████▍   | 151/235 [00:06<00:03, 24.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  64%|██████▍   | 151/235 [00:06<00:03, 24.94it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  65%|██████▍   | 152/235 [00:06<00:03, 24.95it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  65%|██████▍   | 152/235 [00:06<00:03, 24.95it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  65%|██████▌   | 153/235 [00:06<00:03, 24.96it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  65%|██████▌   | 153/235 [00:06<00:03, 24.96it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▌   | 154/235 [00:06<00:03, 24.97it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▌   | 154/235 [00:06<00:03, 24.97it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▌   | 155/235 [00:06<00:03, 25.01it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▌   | 155/235 [00:06<00:03, 25.01it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▋   | 156/235 [00:06<00:03, 25.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  66%|██████▋   | 156/235 [00:06<00:03, 25.03it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  67%|██████▋   | 157/235 [00:06<00:03, 25.07it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  67%|██████▋   | 157/235 [00:06<00:03, 25.06it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  67%|██████▋   | 158/235 [00:06<00:03, 25.09it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  67%|██████▋   | 158/235 [00:06<00:03, 25.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  68%|██████▊   | 159/235 [00:06<00:03, 25.09it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  68%|██████▊   | 159/235 [00:06<00:03, 25.09it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  68%|██████▊   | 160/235 [00:06<00:02, 25.12it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  68%|██████▊   | 160/235 [00:06<00:02, 25.12it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▊   | 161/235 [00:06<00:02, 25.14it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▊   | 161/235 [00:06<00:02, 25.14it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▉   | 162/235 [00:06<00:02, 25.16it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▉   | 162/235 [00:06<00:02, 25.16it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▉   | 163/235 [00:06<00:02, 25.19it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  69%|██████▉   | 163/235 [00:06<00:02, 25.18it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  70%|██████▉   | 164/235 [00:06<00:02, 25.21it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  70%|██████▉   | 164/235 [00:06<00:02, 25.20it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  70%|███████   | 165/235 [00:06<00:02, 25.23it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  70%|███████   | 165/235 [00:06<00:02, 25.23it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████   | 166/235 [00:06<00:02, 25.25it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████   | 166/235 [00:06<00:02, 25.25it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████   | 167/235 [00:06<00:02, 25.28it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████   | 167/235 [00:06<00:02, 25.28it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████▏  | 168/235 [00:06<00:02, 25.32it/s, v_num=16, acc1/train=0.965, f1/train=0.965, precision/train=0.965, recall/train=0.965, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  71%|███████▏  | 168/235 [00:06<00:02, 25.32it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  72%|███████▏  | 169/235 [00:06<00:02, 25.34it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  72%|███████▏  | 169/235 [00:06<00:02, 25.34it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  72%|███████▏  | 170/235 [00:06<00:02, 25.36it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  72%|███████▏  | 170/235 [00:06<00:02, 25.36it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  73%|███████▎  | 171/235 [00:06<00:02, 25.39it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  73%|███████▎  | 171/235 [00:06<00:02, 25.38it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  73%|███████▎  | 172/235 [00:06<00:02, 25.40it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  73%|███████▎  | 172/235 [00:06<00:02, 25.40it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▎  | 173/235 [00:06<00:02, 25.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▎  | 173/235 [00:06<00:02, 25.43it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▍  | 174/235 [00:06<00:02, 25.46it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▍  | 174/235 [00:06<00:02, 25.45it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▍  | 175/235 [00:06<00:02, 25.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  74%|███████▍  | 175/235 [00:06<00:02, 25.48it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  75%|███████▍  | 176/235 [00:06<00:02, 25.50it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  75%|███████▍  | 176/235 [00:06<00:02, 25.49it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  75%|███████▌  | 177/235 [00:06<00:02, 25.52it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  75%|███████▌  | 177/235 [00:06<00:02, 25.52it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  76%|███████▌  | 178/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  76%|███████▌  | 178/235 [00:06<00:02, 25.54it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  76%|███████▌  | 179/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=1.000, f1/train=1.000, precision/train=1.000, recall/train=1.000, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  76%|███████▌  | 179/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 180/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 180/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 181/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 181/235 [00:07<00:02, 25.56it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 182/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  77%|███████▋  | 182/235 [00:07<00:02, 25.57it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  78%|███████▊  | 183/235 [00:07<00:02, 25.59it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  78%|███████▊  | 183/235 [00:07<00:02, 25.58it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  78%|███████▊  | 184/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  78%|███████▊  | 184/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  79%|███████▊  | 185/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  79%|███████▊  | 185/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  79%|███████▉  | 186/235 [00:07<00:01, 25.59it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  79%|███████▉  | 186/235 [00:07<00:01, 25.59it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|███████▉  | 187/235 [00:07<00:01, 25.60it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|███████▉  | 187/235 [00:07<00:01, 25.60it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|████████  | 188/235 [00:07<00:01, 25.60it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|████████  | 188/235 [00:07<00:01, 25.60it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|████████  | 189/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  80%|████████  | 189/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  81%|████████  | 190/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  81%|████████  | 190/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  81%|████████▏ | 191/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  81%|████████▏ | 191/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  82%|████████▏ | 192/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  82%|████████▏ | 192/235 [00:07<00:01, 25.61it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  82%|████████▏ | 193/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  82%|████████▏ | 193/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 194/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 194/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 195/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 195/235 [00:07<00:01, 25.62it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 196/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  83%|████████▎ | 196/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  84%|████████▍ | 197/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  84%|████████▍ | 197/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  84%|████████▍ | 198/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  84%|████████▍ | 198/235 [00:07<00:01, 25.63it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  85%|████████▍ | 199/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  85%|████████▍ | 199/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  85%|████████▌ | 200/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  85%|████████▌ | 200/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▌ | 201/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▌ | 201/235 [00:07<00:01, 25.64it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▌ | 202/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▌ | 202/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▋ | 203/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  86%|████████▋ | 203/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  87%|████████▋ | 204/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  87%|████████▋ | 204/235 [00:07<00:01, 25.65it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  87%|████████▋ | 205/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  87%|████████▋ | 205/235 [00:07<00:01, 25.66it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  88%|████████▊ | 206/235 [00:08<00:01, 25.66it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  88%|████████▊ | 206/235 [00:08<00:01, 25.66it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  88%|████████▊ | 207/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  88%|████████▊ | 207/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▊ | 208/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▊ | 208/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▉ | 209/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▉ | 209/235 [00:08<00:01, 25.67it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▉ | 210/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  89%|████████▉ | 210/235 [00:08<00:00, 25.67it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  90%|████████▉ | 211/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  90%|████████▉ | 211/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  90%|█████████ | 212/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  90%|█████████ | 212/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████ | 213/235 [00:08<00:00, 25.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████ | 213/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████ | 214/235 [00:08<00:00, 25.69it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████ | 214/235 [00:08<00:00, 25.69it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████▏| 215/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.977, f1/train=0.977, precision/train=0.977, recall/train=0.977, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  91%|█████████▏| 215/235 [00:08<00:00, 25.68it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  92%|█████████▏| 216/235 [00:08<00:00, 25.73it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  92%|█████████▏| 216/235 [00:08<00:00, 25.73it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  92%|█████████▏| 217/235 [00:08<00:00, 25.77it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  92%|█████████▏| 217/235 [00:08<00:00, 25.77it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  93%|█████████▎| 218/235 [00:08<00:00, 25.82it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  93%|█████████▎| 218/235 [00:08<00:00, 25.81it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  93%|█████████▎| 219/235 [00:08<00:00, 25.86it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  93%|█████████▎| 219/235 [00:08<00:00, 25.86it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▎| 220/235 [00:08<00:00, 25.90it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▎| 220/235 [00:08<00:00, 25.90it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▍| 221/235 [00:08<00:00, 25.94it/s, v_num=16, acc1/train=0.957, f1/train=0.957, precision/train=0.957, recall/train=0.957, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▍| 221/235 [00:08<00:00, 25.94it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▍| 222/235 [00:08<00:00, 25.99it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  94%|█████████▍| 222/235 [00:08<00:00, 25.99it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  95%|█████████▍| 223/235 [00:08<00:00, 26.03it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  95%|█████████▍| 223/235 [00:08<00:00, 26.03it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  95%|█████████▌| 224/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  95%|█████████▌| 224/235 [00:08<00:00, 26.07it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  96%|█████████▌| 225/235 [00:08<00:00, 26.11it/s, v_num=16, acc1/train=0.992, f1/train=0.992, precision/train=0.992, recall/train=0.992, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  96%|█████████▌| 225/235 [00:08<00:00, 26.11it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  96%|█████████▌| 226/235 [00:08<00:00, 26.16it/s, v_num=16, acc1/train=0.961, f1/train=0.961, precision/train=0.961, recall/train=0.961, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  96%|█████████▌| 226/235 [00:08<00:00, 26.15it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 227/235 [00:08<00:00, 26.20it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 227/235 [00:08<00:00, 26.20it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 228/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 228/235 [00:08<00:00, 26.24it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 229/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.984, f1/train=0.984, precision/train=0.984, recall/train=0.984, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  97%|█████████▋| 229/235 [00:08<00:00, 26.28it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  98%|█████████▊| 230/235 [00:08<00:00, 26.32it/s, v_num=16, acc1/train=0.969, f1/train=0.969, precision/train=0.969, recall/train=0.969, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  98%|█████████▊| 230/235 [00:08<00:00, 26.32it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  98%|█████████▊| 231/235 [00:08<00:00, 26.35it/s, v_num=16, acc1/train=0.973, f1/train=0.973, precision/train=0.973, recall/train=0.973, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  98%|█████████▊| 231/235 [00:08<00:00, 26.35it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  99%|█████████▊| 232/235 [00:08<00:00, 26.40it/s, v_num=16, acc1/train=0.996, f1/train=0.996, precision/train=0.996, recall/train=0.996, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  99%|█████████▊| 232/235 [00:08<00:00, 26.39it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  99%|█████████▉| 233/235 [00:08<00:00, 26.44it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9:  99%|█████████▉| 233/235 [00:08<00:00, 26.43it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9: 100%|█████████▉| 234/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.980, f1/train=0.980, precision/train=0.980, recall/train=0.980, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9: 100%|█████████▉| 234/235 [00:08<00:00, 26.48it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9: 100%|██████████| 235/235 [00:08<00:00, 26.50it/s, v_num=16, acc1/train=0.988, f1/train=0.988, precision/train=0.988, recall/train=0.988, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]
Epoch 9: 100%|██████████| 235/235 [00:08<00:00, 26.50it/s, v_num=16, acc1/train=0.990, f1/train=0.990, precision/train=0.990, recall/train=0.990, acc1/val=0.979, f1/val=0.979, precision/val=0.979, recall/val=0.979]

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Epoch 9: 100%|██████████| 235/235 [00:10<00:00, 23.31it/s, v_num=16, acc1/train=0.990, f1/train=0.990, precision/train=0.990, recall/train=0.990, acc1/val=0.976, f1/val=0.976, precision/val=0.976, recall/val=0.976]
Epoch 9: 100%|██████████| 235/235 [00:10<00:00, 23.31it/s, v_num=16, acc1/train=0.990, f1/train=0.990, precision/train=0.990, recall/train=0.990, acc1/val=0.976, f1/val=0.976, precision/val=0.976, recall/val=0.976]
Epoch 9: 100%|██████████| 235/235 [00:10<00:00, 23.30it/s, v_num=16, acc1/train=0.990, f1/train=0.990, precision/train=0.990, recall/train=0.990, acc1/val=0.976, f1/val=0.976, precision/val=0.976, recall/val=0.976]

SupervisedCrossEntropy(
  (backbone): LeNet(
    (conv1): Conv2d(1, 6, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
    (pool1): AvgPool2d(kernel_size=2, stride=2, padding=0)
    (conv2): Conv2d(6, 16, kernel_size=(5, 5), stride=(1, 1))
    (pool2): AvgPool2d(kernel_size=2, stride=2, padding=0)
    (fc1): Linear(in_features=400, out_features=120, bias=True)
    (fc2): Linear(in_features=120, out_features=84, bias=True)
    (fc3): Linear(in_features=84, out_features=10, bias=True)
  )
)

Visualization of the classification metrics during training

During training, we can visualize the classification metrics logged by the MetricsCallback using TensorBoard. The logged metrics are stored in the lightning_logs folder by default. They contain the accuracy, F1-score, precision (macro) and recall (macro).

def get_last_log_version(logs_dir="lightning_logs"):
    versions = []
    for d in os.listdir(logs_dir):
        match = re.match(r"version_(\d+)", d)
        if match:
            versions.append(int(match.group(1)))
    return max(versions) if versions else None


log_dir = f"lightning_logs/version_{get_last_log_version()}/"
ea = event_accumulator.EventAccumulator(log_dir)
ea.Reload()
metrics = [
    "acc1/val",
    "f1/val",
    "precision/val",
    "recall/val",
]
scalars = {m: ea.Scalars(m) for m in metrics}

Once all the metrics are loaded, we plot them as the number of training steps increases:

num_metrics = len(scalars)
fig, axes = plt.subplots(1, num_metrics, figsize=(3 * num_metrics, 3))

for ax, (metric_name, events) in zip(axes, scalars.items()):
    steps = [e.step for e in events]
    values = [e.value for e in events]

    ax.plot(steps, values, marker="o", linestyle="-")
    ax.set_title(metric_name.split("/")[0].capitalize())
    ax.set_xlabel(f"Steps (batch size={batch_size})")
    ax.set_ylabel(metric_name)
    ax.grid(True, alpha=0.3)

plt.suptitle("Supervised metrics during training", fontsize="x-large")
plt.tight_layout()
plt.show()

Unsupervised contrastive learning with metrics callback

We now demonstrate how to plot self-supervised metrics (alignment and uniformity scores) during the training of a SimCLR model (implementation from NIDL). The logic is the same as before.

Dataset and data augmentations for contrastive learning

To perform self-supervisde contrastive learning, we need to define a set of data augmentations to create multiple views of the same image. Since we work with grayscale images, we will use random resized crop and Gaussian blur. We reduce the size of the Gaussian kernel to 3x3 since MNIST images are only 28x28 pixels.

contrast_transforms = transforms.Compose(
    [
        transforms.RandomResizedCrop(size=28, scale=(0.8, 1.0)),
        transforms.GaussianBlur(kernel_size=3),
        transforms.ToTensor(),
        transforms.Normalize((0.5,), (0.5,)),
    ]
)

We create a MNIST dataset that returns multiple views of the same image.

ssl_dataset = MNIST(
    data_dir,
    download=True,
    transform=MultiViewsTransform(contrast_transforms, n_views=2),
)
test_ssl_dataset = MNIST(
    data_dir,
    download=True,
    train=False,
    transform=MultiViewsTransform(contrast_transforms, n_views=2),
)

train_ssl_loader = DataLoader(
    ssl_dataset,
    batch_size=batch_size,
    shuffle=True,
    pin_memory=True,
    num_workers=num_workers,
)
test_ssl_loader = DataLoader(
    test_ssl_dataset,
    batch_size=batch_size,
    shuffle=False,
    pin_memory=True,
    num_workers=num_workers,
)

Now, we create the callback that will compute and log the self-supervised metrics during training and validation.

Important remark: uniformity score cannot be aggregated with a simple average over batch as the alignment score. Here, we perform an exact computation of the uniformity score on the validation set only. The score on the training set is just an approximation but we don’t require exact computation as the model’s weights are changing over iterations.

callback = MetricsCallback(
    metrics={
        "alignment": alignment_score,
        "uniformity": uniformity_score,
        "contrastive_acc": contrastive_accuracy_score,
    },
    needs={
        "alignment": ["z1", "z2"],
        "uniformity": {"z": lambda out: concat((out["z1"], out["z2"]))},
        "contrastive_acc": ["z1", "z2"],
    },
    every_n_train_steps=None,
    every_n_val_epochs=2,
)

model = SimCLR(
    encoder=LeNet(num_classes=latent_size),
    proj_input_dim=latent_size,
    proj_hidden_dim=latent_size,
    proj_output_dim=32,
    learning_rate=3e-4,
    temperature=0.1,
    weight_decay=5e-5,
    max_epochs=10,
    enable_checkpointing=False,
    callbacks=callback,  # <-- key part for metrics computation
)

model.fit(train_ssl_loader, test_ssl_loader)

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Validation DataLoader 0: 100%|██████████| 40/40 [00:03<00:00, 10.57it/s]


Epoch 0: 100%|██████████| 235/235 [00:41<00:00,  5.65it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 0: 100%|██████████| 235/235 [00:41<00:00,  5.65it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 0:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 1:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 1:   0%|          | 1/235 [00:02<09:58,  0.39it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 1:   0%|          | 1/235 [00:02<09:58,  0.39it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   1%|          | 2/235 [00:02<05:13,  0.74it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   1%|          | 2/235 [00:02<05:13,  0.74it/s, v_num=17, loss/train=5.260, loss/val=5.320]
Epoch 1:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=5.260, loss/val=5.320]
Epoch 1:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=5.230, loss/val=5.320]
Epoch 1:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=5.230, loss/val=5.320]
Epoch 1:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=5.230, loss/val=5.320]
Epoch 1:   3%|▎         | 6/235 [00:03<02:07,  1.80it/s, v_num=17, loss/train=5.230, loss/val=5.320]
Epoch 1:   3%|▎         | 6/235 [00:03<02:07,  1.80it/s, v_num=17, loss/train=5.200, loss/val=5.320]
Epoch 1:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=5.200, loss/val=5.320]
Epoch 1:   3%|▎         | 7/235 [00:03<01:53,  2.00it/s, v_num=17, loss/train=5.210, loss/val=5.320]
Epoch 1:   3%|▎         | 8/235 [00:03<01:44,  2.18it/s, v_num=17, loss/train=5.210, loss/val=5.320]
Epoch 1:   3%|▎         | 8/235 [00:03<01:44,  2.18it/s, v_num=17, loss/train=5.200, loss/val=5.320]
Epoch 1:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=5.200, loss/val=5.320]
Epoch 1:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   4%|▍         | 10/235 [00:04<01:30,  2.50it/s, v_num=17, loss/train=5.240, loss/val=5.320]
Epoch 1:   4%|▍         | 10/235 [00:04<01:30,  2.50it/s, v_num=17, loss/train=5.210, loss/val=5.320]
Epoch 1:   5%|▍         | 11/235 [00:04<01:24,  2.65it/s, v_num=17, loss/train=5.210, loss/val=5.320]
Epoch 1:   5%|▍         | 11/235 [00:04<01:24,  2.65it/s, v_num=17, loss/train=5.180, loss/val=5.320]
Epoch 1:   5%|▌         | 12/235 [00:04<01:19,  2.81it/s, v_num=17, loss/train=5.180, loss/val=5.320]
Epoch 1:   5%|▌         | 12/235 [00:04<01:19,  2.81it/s, v_num=17, loss/train=5.130, loss/val=5.320]
Epoch 1:   6%|▌         | 13/235 [00:04<01:15,  2.92it/s, v_num=17, loss/train=5.130, loss/val=5.320]
Epoch 1:   6%|▌         | 13/235 [00:04<01:15,  2.92it/s, v_num=17, loss/train=5.140, loss/val=5.320]
Epoch 1:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=5.140, loss/val=5.320]
Epoch 1:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=5.180, loss/val=5.320]
Epoch 1:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=5.180, loss/val=5.320]
Epoch 1:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=5.140, loss/val=5.320]
Epoch 1:   7%|▋         | 16/235 [00:04<01:07,  3.26it/s, v_num=17, loss/train=5.140, loss/val=5.320]
Epoch 1:   7%|▋         | 16/235 [00:04<01:07,  3.26it/s, v_num=17, loss/train=5.110, loss/val=5.320]
Epoch 1:   7%|▋         | 17/235 [00:05<01:05,  3.32it/s, v_num=17, loss/train=5.110, loss/val=5.320]
Epoch 1:   7%|▋         | 17/235 [00:05<01:05,  3.32it/s, v_num=17, loss/train=5.100, loss/val=5.320]
Epoch 1:   8%|▊         | 18/235 [00:05<01:03,  3.43it/s, v_num=17, loss/train=5.100, loss/val=5.320]
Epoch 1:   8%|▊         | 18/235 [00:05<01:03,  3.43it/s, v_num=17, loss/train=5.110, loss/val=5.320]
Epoch 1:   8%|▊         | 19/235 [00:05<01:01,  3.51it/s, v_num=17, loss/train=5.110, loss/val=5.320]
Epoch 1:   8%|▊         | 19/235 [00:05<01:01,  3.51it/s, v_num=17, loss/train=5.070, loss/val=5.320]
Epoch 1:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=5.070, loss/val=5.320]
Epoch 1:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=5.070, loss/val=5.320]
Epoch 1:   9%|▉         | 21/235 [00:05<00:58,  3.66it/s, v_num=17, loss/train=5.070, loss/val=5.320]
Epoch 1:   9%|▉         | 21/235 [00:05<00:58,  3.66it/s, v_num=17, loss/train=5.100, loss/val=5.320]
Epoch 1:   9%|▉         | 22/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=5.100, loss/val=5.320]
Epoch 1:   9%|▉         | 22/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=5.020, loss/val=5.320]
Epoch 1:  11%|█         | 25/235 [00:06<00:53,  3.95it/s, v_num=17, loss/train=5.020, loss/val=5.320]
Epoch 1:  11%|█         | 25/235 [00:06<00:53,  3.95it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  11%|█         | 26/235 [00:06<00:52,  4.02it/s, v_num=17, loss/train=5.040, loss/val=5.320]
Epoch 1:  11%|█         | 26/235 [00:06<00:52,  4.02it/s, v_num=17, loss/train=5.010, loss/val=5.320]
Epoch 1:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=5.010, loss/val=5.320]
Epoch 1:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=4.970, loss/val=5.320]
Epoch 1:  12%|█▏        | 28/235 [00:06<00:50,  4.09it/s, v_num=17, loss/train=4.970, loss/val=5.320]
Epoch 1:  12%|█▏        | 28/235 [00:06<00:50,  4.09it/s, v_num=17, loss/train=4.980, loss/val=5.320]
Epoch 1:  12%|█▏        | 29/235 [00:06<00:49,  4.16it/s, v_num=17, loss/train=4.980, loss/val=5.320]
Epoch 1:  12%|█▏        | 29/235 [00:06<00:49,  4.16it/s, v_num=17, loss/train=4.920, loss/val=5.320]
Epoch 1:  13%|█▎        | 30/235 [00:07<00:49,  4.17it/s, v_num=17, loss/train=4.920, loss/val=5.320]
Epoch 1:  13%|█▎        | 30/235 [00:07<00:49,  4.17it/s, v_num=17, loss/train=4.890, loss/val=5.320]
Epoch 1:  13%|█▎        | 31/235 [00:07<00:48,  4.23it/s, v_num=17, loss/train=4.890, loss/val=5.320]
Epoch 1:  13%|█▎        | 31/235 [00:07<00:48,  4.23it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▎        | 32/235 [00:07<00:47,  4.28it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▎        | 32/235 [00:07<00:47,  4.28it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▍        | 33/235 [00:07<00:46,  4.34it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▍        | 33/235 [00:07<00:46,  4.34it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▍        | 34/235 [00:07<00:45,  4.38it/s, v_num=17, loss/train=4.910, loss/val=5.320]
Epoch 1:  14%|█▍        | 34/235 [00:07<00:45,  4.38it/s, v_num=17, loss/train=4.840, loss/val=5.320]
Epoch 1:  15%|█▍        | 35/235 [00:07<00:45,  4.43it/s, v_num=17, loss/train=4.840, loss/val=5.320]
Epoch 1:  15%|█▍        | 35/235 [00:07<00:45,  4.43it/s, v_num=17, loss/train=4.850, loss/val=5.320]
Epoch 1:  15%|█▌        | 36/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=4.850, loss/val=5.320]
Epoch 1:  15%|█▌        | 36/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=4.840, loss/val=5.320]
Epoch 1:  16%|█▌        | 37/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=4.840, loss/val=5.320]
Epoch 1:  16%|█▌        | 37/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=4.820, loss/val=5.320]
Epoch 1:  16%|█▌        | 38/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=4.820, loss/val=5.320]
Epoch 1:  16%|█▌        | 38/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=4.870, loss/val=5.320]
Epoch 1:  17%|█▋        | 39/235 [00:08<00:43,  4.52it/s, v_num=17, loss/train=4.870, loss/val=5.320]
Epoch 1:  17%|█▋        | 39/235 [00:08<00:43,  4.52it/s, v_num=17, loss/train=4.820, loss/val=5.320]
Epoch 1:  17%|█▋        | 40/235 [00:08<00:43,  4.53it/s, v_num=17, loss/train=4.820, loss/val=5.320]
Epoch 1:  17%|█▋        | 40/235 [00:08<00:43,  4.53it/s, v_num=17, loss/train=4.770, loss/val=5.320]
Epoch 1:  17%|█▋        | 41/235 [00:08<00:42,  4.57it/s, v_num=17, loss/train=4.770, loss/val=5.320]
Epoch 1:  17%|█▋        | 41/235 [00:08<00:42,  4.57it/s, v_num=17, loss/train=4.750, loss/val=5.320]
Epoch 1:  18%|█▊        | 42/235 [00:09<00:41,  4.62it/s, v_num=17, loss/train=4.750, loss/val=5.320]
Epoch 1:  18%|█▊        | 42/235 [00:09<00:41,  4.62it/s, v_num=17, loss/train=4.730, loss/val=5.320]
Epoch 1:  18%|█▊        | 43/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=4.730, loss/val=5.320]
Epoch 1:  18%|█▊        | 43/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=4.720, loss/val=5.320]
Epoch 1:  19%|█▊        | 44/235 [00:09<00:41,  4.64it/s, v_num=17, loss/train=4.720, loss/val=5.320]
Epoch 1:  19%|█▊        | 44/235 [00:09<00:41,  4.64it/s, v_num=17, loss/train=4.650, loss/val=5.320]
Epoch 1:  19%|█▉        | 45/235 [00:09<00:40,  4.68it/s, v_num=17, loss/train=4.650, loss/val=5.320]
Epoch 1:  19%|█▉        | 45/235 [00:09<00:40,  4.68it/s, v_num=17, loss/train=4.690, loss/val=5.320]
Epoch 1:  20%|█▉        | 46/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=4.690, loss/val=5.320]
Epoch 1:  20%|█▉        | 46/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=4.700, loss/val=5.320]
Epoch 1:  20%|██        | 47/235 [00:09<00:39,  4.74it/s, v_num=17, loss/train=4.700, loss/val=5.320]
Epoch 1:  20%|██        | 47/235 [00:09<00:39,  4.74it/s, v_num=17, loss/train=4.650, loss/val=5.320]
Epoch 1:  20%|██        | 48/235 [00:10<00:39,  4.74it/s, v_num=17, loss/train=4.650, loss/val=5.320]
Epoch 1:  20%|██        | 48/235 [00:10<00:39,  4.74it/s, v_num=17, loss/train=4.630, loss/val=5.320]
Epoch 1:  21%|██        | 49/235 [00:10<00:38,  4.78it/s, v_num=17, loss/train=4.630, loss/val=5.320]
Epoch 1:  21%|██        | 49/235 [00:10<00:38,  4.78it/s, v_num=17, loss/train=4.690, loss/val=5.320]
Epoch 1:  21%|██▏       | 50/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=4.690, loss/val=5.320]
Epoch 1:  21%|██▏       | 50/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=4.610, loss/val=5.320]
Epoch 1:  22%|██▏       | 51/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=4.610, loss/val=5.320]
Epoch 1:  22%|██▏       | 51/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=4.540, loss/val=5.320]
Epoch 1:  22%|██▏       | 52/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=4.540, loss/val=5.320]
Epoch 1:  22%|██▏       | 52/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=4.560, loss/val=5.320]
Epoch 1:  23%|██▎       | 53/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=4.560, loss/val=5.320]
Epoch 1:  23%|██▎       | 53/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=4.550, loss/val=5.320]
Epoch 1:  23%|██▎       | 54/235 [00:11<00:36,  4.90it/s, v_num=17, loss/train=4.550, loss/val=5.320]
Epoch 1:  23%|██▎       | 54/235 [00:11<00:36,  4.90it/s, v_num=17, loss/train=4.560, loss/val=5.320]
Epoch 1:  23%|██▎       | 55/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=4.560, loss/val=5.320]
Epoch 1:  23%|██▎       | 55/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  24%|██▍       | 56/235 [00:11<00:36,  4.94it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  24%|██▍       | 56/235 [00:11<00:36,  4.94it/s, v_num=17, loss/train=4.470, loss/val=5.320]
Epoch 1:  24%|██▍       | 57/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=4.470, loss/val=5.320]
Epoch 1:  24%|██▍       | 57/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=4.500, loss/val=5.320]
Epoch 1:  25%|██▍       | 58/235 [00:11<00:35,  4.98it/s, v_num=17, loss/train=4.500, loss/val=5.320]
Epoch 1:  25%|██▍       | 58/235 [00:11<00:35,  4.98it/s, v_num=17, loss/train=4.570, loss/val=5.320]
Epoch 1:  25%|██▌       | 59/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=4.570, loss/val=5.320]
Epoch 1:  25%|██▌       | 59/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=4.380, loss/val=5.320]
Epoch 1:  26%|██▌       | 60/235 [00:11<00:34,  5.02it/s, v_num=17, loss/train=4.380, loss/val=5.320]
Epoch 1:  26%|██▌       | 60/235 [00:11<00:34,  5.02it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  26%|██▌       | 61/235 [00:12<00:34,  5.04it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  26%|██▌       | 61/235 [00:12<00:34,  5.04it/s, v_num=17, loss/train=4.420, loss/val=5.320]
Epoch 1:  26%|██▋       | 62/235 [00:12<00:34,  5.05it/s, v_num=17, loss/train=4.420, loss/val=5.320]
Epoch 1:  26%|██▋       | 62/235 [00:12<00:34,  5.05it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  27%|██▋       | 63/235 [00:12<00:33,  5.07it/s, v_num=17, loss/train=4.460, loss/val=5.320]
Epoch 1:  27%|██▋       | 63/235 [00:12<00:33,  5.07it/s, v_num=17, loss/train=4.440, loss/val=5.320]
Epoch 1:  27%|██▋       | 64/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=4.440, loss/val=5.320]
Epoch 1:  27%|██▋       | 64/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=4.300, loss/val=5.320]
Epoch 1:  28%|██▊       | 65/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=4.300, loss/val=5.320]
Epoch 1:  28%|██▊       | 65/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=4.390, loss/val=5.320]
Epoch 1:  28%|██▊       | 66/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=4.390, loss/val=5.320]
Epoch 1:  28%|██▊       | 66/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=4.320, loss/val=5.320]
Epoch 1:  29%|██▊       | 67/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=4.320, loss/val=5.320]
Epoch 1:  29%|██▊       | 67/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=4.370, loss/val=5.320]
Epoch 1:  29%|██▉       | 68/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=4.370, loss/val=5.320]
Epoch 1:  29%|██▉       | 68/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=4.290, loss/val=5.320]
Epoch 1:  29%|██▉       | 69/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=4.290, loss/val=5.320]
Epoch 1:  29%|██▉       | 69/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=4.220, loss/val=5.320]
Epoch 1:  30%|██▉       | 70/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=4.220, loss/val=5.320]
Epoch 1:  30%|██▉       | 70/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 1:  30%|███       | 71/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=4.330, loss/val=5.320]
Epoch 1:  30%|███       | 71/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=4.260, loss/val=5.320]
Epoch 1:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=4.260, loss/val=5.320]
Epoch 1:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=4.310, loss/val=5.320]
Epoch 1:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=4.310, loss/val=5.320]
Epoch 1:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=4.300, loss/val=5.320]
Epoch 1:  31%|███▏      | 74/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=4.300, loss/val=5.320]
Epoch 1:  31%|███▏      | 74/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=4.230, loss/val=5.320]
Epoch 1:  32%|███▏      | 75/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=4.230, loss/val=5.320]
Epoch 1:  32%|███▏      | 75/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=4.250, loss/val=5.320]
Epoch 1:  32%|███▏      | 76/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=4.250, loss/val=5.320]
Epoch 1:  32%|███▏      | 76/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=4.230, loss/val=5.320]
Epoch 1:  33%|███▎      | 77/235 [00:14<00:29,  5.27it/s, v_num=17, loss/train=4.230, loss/val=5.320]
Epoch 1:  33%|███▎      | 77/235 [00:14<00:29,  5.27it/s, v_num=17, loss/train=4.180, loss/val=5.320]
Epoch 1:  33%|███▎      | 78/235 [00:14<00:29,  5.25it/s, v_num=17, loss/train=4.180, loss/val=5.320]
Epoch 1:  33%|███▎      | 78/235 [00:14<00:29,  5.25it/s, v_num=17, loss/train=4.150, loss/val=5.320]
Epoch 1:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=4.150, loss/val=5.320]
Epoch 1:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=4.220, loss/val=5.320]
Epoch 1:  34%|███▍      | 80/235 [00:15<00:29,  5.29it/s, v_num=17, loss/train=4.220, loss/val=5.320]
Epoch 1:  34%|███▍      | 80/235 [00:15<00:29,  5.29it/s, v_num=17, loss/train=4.210, loss/val=5.320]
Epoch 1:  34%|███▍      | 81/235 [00:15<00:29,  5.31it/s, v_num=17, loss/train=4.210, loss/val=5.320]
Epoch 1:  34%|███▍      | 81/235 [00:15<00:29,  5.31it/s, v_num=17, loss/train=4.120, loss/val=5.320]
Epoch 1:  35%|███▍      | 82/235 [00:15<00:28,  5.30it/s, v_num=17, loss/train=4.120, loss/val=5.320]
Epoch 1:  35%|███▍      | 82/235 [00:15<00:28,  5.30it/s, v_num=17, loss/train=4.170, loss/val=5.320]
Epoch 1:  35%|███▌      | 83/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=4.170, loss/val=5.320]
Epoch 1:  35%|███▌      | 83/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=4.110, loss/val=5.320]
Epoch 1:  36%|███▌      | 84/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=4.110, loss/val=5.320]
Epoch 1:  36%|███▌      | 84/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=4.040, loss/val=5.320]
Epoch 1:  36%|███▌      | 85/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=4.040, loss/val=5.320]
Epoch 1:  36%|███▌      | 85/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=4.050, loss/val=5.320]
Epoch 1:  37%|███▋      | 86/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=4.050, loss/val=5.320]
Epoch 1:  37%|███▋      | 86/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=4.050, loss/val=5.320]
Epoch 1:  37%|███▋      | 87/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=4.050, loss/val=5.320]
Epoch 1:  37%|███▋      | 87/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=4.110, loss/val=5.320]
Epoch 1:  37%|███▋      | 88/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=4.110, loss/val=5.320]
Epoch 1:  37%|███▋      | 88/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=4.040, loss/val=5.320]
Epoch 1:  38%|███▊      | 89/235 [00:16<00:27,  5.41it/s, v_num=17, loss/train=4.040, loss/val=5.320]
Epoch 1:  38%|███▊      | 89/235 [00:16<00:27,  5.41it/s, v_num=17, loss/train=3.980, loss/val=5.320]
Epoch 1:  38%|███▊      | 90/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=3.980, loss/val=5.320]
Epoch 1:  38%|███▊      | 90/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=3.980, loss/val=5.320]
Epoch 1:  39%|███▊      | 91/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=3.980, loss/val=5.320]
Epoch 1:  39%|███▊      | 91/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=3.910, loss/val=5.320]
Epoch 1:  39%|███▉      | 92/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=3.910, loss/val=5.320]
Epoch 1:  39%|███▉      | 92/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=3.880, loss/val=5.320]
Epoch 1:  40%|███▉      | 93/235 [00:17<00:26,  5.42it/s, v_num=17, loss/train=3.880, loss/val=5.320]
Epoch 1:  40%|███▉      | 93/235 [00:17<00:26,  5.42it/s, v_num=17, loss/train=3.960, loss/val=5.320]
Epoch 1:  40%|████      | 94/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=3.960, loss/val=5.320]
Epoch 1:  40%|████      | 94/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=3.930, loss/val=5.320]
Epoch 1:  40%|████      | 95/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=3.930, loss/val=5.320]
Epoch 1:  40%|████      | 95/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=3.860, loss/val=5.320]
Epoch 1:  41%|████      | 96/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=3.860, loss/val=5.320]
Epoch 1:  41%|████      | 96/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=3.920, loss/val=5.320]
Epoch 1:  41%|████▏     | 97/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=3.920, loss/val=5.320]
Epoch 1:  41%|████▏     | 97/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=4.000, loss/val=5.320]
Epoch 1:  42%|████▏     | 98/235 [00:17<00:25,  5.46it/s, v_num=17, loss/train=4.000, loss/val=5.320]
Epoch 1:  42%|████▏     | 98/235 [00:17<00:25,  5.46it/s, v_num=17, loss/train=3.810, loss/val=5.320]
Epoch 1:  42%|████▏     | 99/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=3.810, loss/val=5.320]
Epoch 1:  42%|████▏     | 99/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=3.890, loss/val=5.320]
Epoch 1:  43%|████▎     | 100/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=3.890, loss/val=5.320]
Epoch 1:  43%|████▎     | 100/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=3.940, loss/val=5.320]
Epoch 1:  43%|████▎     | 101/235 [00:18<00:24,  5.47it/s, v_num=17, loss/train=3.940, loss/val=5.320]
Epoch 1:  43%|████▎     | 101/235 [00:18<00:24,  5.47it/s, v_num=17, loss/train=3.770, loss/val=5.320]
Epoch 1:  43%|████▎     | 102/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=3.770, loss/val=5.320]
Epoch 1:  43%|████▎     | 102/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=3.790, loss/val=5.320]
Epoch 1:  44%|████▍     | 103/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=3.790, loss/val=5.320]
Epoch 1:  44%|████▍     | 103/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=3.720, loss/val=5.320]
Epoch 1:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=3.720, loss/val=5.320]
Epoch 1:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=3.850, loss/val=5.320]
Epoch 1:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=3.850, loss/val=5.320]
Epoch 1:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=3.640, loss/val=5.320]
Epoch 1:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=3.640, loss/val=5.320]
Epoch 1:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=3.810, loss/val=5.320]
Epoch 1:  46%|████▌     | 107/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=3.810, loss/val=5.320]
Epoch 1:  46%|████▌     | 107/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=3.690, loss/val=5.320]
Epoch 1:  46%|████▌     | 108/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=3.690, loss/val=5.320]
Epoch 1:  46%|████▌     | 108/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=3.700, loss/val=5.320]
Epoch 1:  46%|████▋     | 109/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=3.700, loss/val=5.320]
Epoch 1:  46%|████▋     | 109/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=3.680, loss/val=5.320]
Epoch 1:  47%|████▋     | 110/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=3.680, loss/val=5.320]
Epoch 1:  47%|████▋     | 110/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=3.650, loss/val=5.320]
Epoch 1:  47%|████▋     | 111/235 [00:20<00:22,  5.55it/s, v_num=17, loss/train=3.650, loss/val=5.320]
Epoch 1:  47%|████▋     | 111/235 [00:20<00:22,  5.55it/s, v_num=17, loss/train=3.600, loss/val=5.320]
Epoch 1:  48%|████▊     | 112/235 [00:20<00:22,  5.55it/s, v_num=17, loss/train=3.600, loss/val=5.320]
Epoch 1:  48%|████▊     | 112/235 [00:20<00:22,  5.55it/s, v_num=17, loss/train=3.640, loss/val=5.320]
Epoch 1:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=3.640, loss/val=5.320]
Epoch 1:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=3.620, loss/val=5.320]
Epoch 1:  49%|████▊     | 114/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=3.620, loss/val=5.320]
Epoch 1:  49%|████▊     | 114/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=3.620, loss/val=5.320]
Epoch 1:  49%|████▉     | 115/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=3.620, loss/val=5.320]
Epoch 1:  49%|████▉     | 115/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  49%|████▉     | 116/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  49%|████▉     | 116/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  50%|████▉     | 117/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  50%|████▉     | 117/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  50%|█████     | 118/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=3.480, loss/val=5.320]
Epoch 1:  50%|█████     | 118/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=3.460, loss/val=5.320]
Epoch 1:  51%|█████     | 119/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=3.460, loss/val=5.320]
Epoch 1:  51%|█████     | 119/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=3.380, loss/val=5.320]
Epoch 1:  51%|█████     | 120/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=3.380, loss/val=5.320]
Epoch 1:  51%|█████     | 120/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=3.500, loss/val=5.320]
Epoch 1:  51%|█████▏    | 121/235 [00:21<00:20,  5.61it/s, v_num=17, loss/train=3.500, loss/val=5.320]
Epoch 1:  51%|█████▏    | 121/235 [00:21<00:20,  5.61it/s, v_num=17, loss/train=3.270, loss/val=5.320]
Epoch 1:  52%|█████▏    | 122/235 [00:21<00:20,  5.62it/s, v_num=17, loss/train=3.270, loss/val=5.320]
Epoch 1:  52%|█████▏    | 122/235 [00:21<00:20,  5.62it/s, v_num=17, loss/train=3.290, loss/val=5.320]
Epoch 1:  52%|█████▏    | 123/235 [00:21<00:19,  5.62it/s, v_num=17, loss/train=3.290, loss/val=5.320]
Epoch 1:  52%|█████▏    | 123/235 [00:21<00:19,  5.62it/s, v_num=17, loss/train=3.380, loss/val=5.320]
Epoch 1:  53%|█████▎    | 124/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.380, loss/val=5.320]
Epoch 1:  53%|█████▎    | 124/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.340, loss/val=5.320]
Epoch 1:  53%|█████▎    | 125/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.340, loss/val=5.320]
Epoch 1:  53%|█████▎    | 125/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.320, loss/val=5.320]
Epoch 1:  54%|█████▎    | 126/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.320, loss/val=5.320]
Epoch 1:  54%|█████▎    | 126/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=3.240, loss/val=5.320]
Epoch 1:  54%|█████▍    | 127/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=3.240, loss/val=5.320]
Epoch 1:  54%|█████▍    | 127/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=3.230, loss/val=5.320]
Epoch 1:  54%|█████▍    | 128/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=3.230, loss/val=5.320]
Epoch 1:  54%|█████▍    | 128/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=3.360, loss/val=5.320]
Epoch 1:  55%|█████▍    | 129/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=3.360, loss/val=5.320]
Epoch 1:  55%|█████▍    | 129/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=3.170, loss/val=5.320]
Epoch 1:  55%|█████▌    | 130/235 [00:23<00:18,  5.64it/s, v_num=17, loss/train=3.170, loss/val=5.320]
Epoch 1:  55%|█████▌    | 130/235 [00:23<00:18,  5.64it/s, v_num=17, loss/train=3.250, loss/val=5.320]
Epoch 1:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=3.250, loss/val=5.320]
Epoch 1:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=3.200, loss/val=5.320]
Epoch 1:  56%|█████▌    | 132/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=3.200, loss/val=5.320]
Epoch 1:  56%|█████▌    | 132/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=3.170, loss/val=5.320]
Epoch 1:  57%|█████▋    | 133/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.170, loss/val=5.320]
Epoch 1:  57%|█████▋    | 133/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.210, loss/val=5.320]
Epoch 1:  57%|█████▋    | 134/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.210, loss/val=5.320]
Epoch 1:  57%|█████▋    | 134/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.140, loss/val=5.320]
Epoch 1:  57%|█████▋    | 135/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.140, loss/val=5.320]
Epoch 1:  57%|█████▋    | 135/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=3.110, loss/val=5.320]
Epoch 1:  58%|█████▊    | 136/235 [00:24<00:17,  5.66it/s, v_num=17, loss/train=3.110, loss/val=5.320]
Epoch 1:  58%|█████▊    | 136/235 [00:24<00:17,  5.66it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  58%|█████▊    | 137/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  58%|█████▊    | 137/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  59%|█████▊    | 138/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  59%|█████▊    | 138/235 [00:24<00:17,  5.67it/s, v_num=17, loss/train=3.110, loss/val=5.320]
Epoch 1:  59%|█████▉    | 139/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=3.110, loss/val=5.320]
Epoch 1:  59%|█████▉    | 139/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=3.050, loss/val=5.320]
Epoch 1:  60%|█████▉    | 140/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=3.050, loss/val=5.320]
Epoch 1:  60%|█████▉    | 140/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=3.220, loss/val=5.320]
Epoch 1:  60%|██████    | 141/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=3.220, loss/val=5.320]
Epoch 1:  60%|██████    | 141/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=3.100, loss/val=5.320]
Epoch 1:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=3.070, loss/val=5.320]
Epoch 1:  61%|██████    | 143/235 [00:25<00:16,  5.70it/s, v_num=17, loss/train=3.070, loss/val=5.320]
Epoch 1:  61%|██████    | 143/235 [00:25<00:16,  5.70it/s, v_num=17, loss/train=2.990, loss/val=5.320]
Epoch 1:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=2.990, loss/val=5.320]
Epoch 1:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=3.050, loss/val=5.320]
Epoch 1:  62%|██████▏   | 145/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=3.050, loss/val=5.320]
Epoch 1:  62%|██████▏   | 145/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=2.990, loss/val=5.320]
Epoch 1:  62%|██████▏   | 146/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=2.990, loss/val=5.320]
Epoch 1:  62%|██████▏   | 146/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=3.030, loss/val=5.320]
Epoch 1:  63%|██████▎   | 147/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=3.030, loss/val=5.320]
Epoch 1:  63%|██████▎   | 147/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  63%|██████▎   | 148/235 [00:25<00:15,  5.73it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  63%|██████▎   | 148/235 [00:25<00:15,  5.73it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  63%|██████▎   | 149/235 [00:26<00:15,  5.73it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  63%|██████▎   | 149/235 [00:26<00:15,  5.73it/s, v_num=17, loss/train=2.940, loss/val=5.320]
Epoch 1:  64%|██████▍   | 150/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=2.940, loss/val=5.320]
Epoch 1:  64%|██████▍   | 150/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  64%|██████▍   | 151/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=3.000, loss/val=5.320]
Epoch 1:  64%|██████▍   | 151/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=3.010, loss/val=5.320]
Epoch 1:  65%|██████▍   | 152/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=3.010, loss/val=5.320]
Epoch 1:  65%|██████▍   | 152/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=2.950, loss/val=5.320]
Epoch 1:  65%|██████▌   | 153/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=2.950, loss/val=5.320]
Epoch 1:  65%|██████▌   | 153/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=2.890, loss/val=5.320]
Epoch 1:  66%|██████▌   | 154/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=2.890, loss/val=5.320]
Epoch 1:  66%|██████▌   | 154/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=2.880, loss/val=5.320]
Epoch 1:  66%|██████▌   | 155/235 [00:26<00:13,  5.76it/s, v_num=17, loss/train=2.880, loss/val=5.320]
Epoch 1:  66%|██████▌   | 155/235 [00:26<00:13,  5.76it/s, v_num=17, loss/train=2.940, loss/val=5.320]
Epoch 1:  66%|██████▋   | 156/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.940, loss/val=5.320]
Epoch 1:  66%|██████▋   | 156/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  67%|██████▋   | 157/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  67%|██████▋   | 157/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  67%|██████▋   | 158/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  67%|██████▋   | 158/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=2.900, loss/val=5.320]
Epoch 1:  68%|██████▊   | 159/235 [00:27<00:13,  5.77it/s, v_num=17, loss/train=2.900, loss/val=5.320]
Epoch 1:  68%|██████▊   | 159/235 [00:27<00:13,  5.77it/s, v_num=17, loss/train=2.890, loss/val=5.320]
Epoch 1:  68%|██████▊   | 160/235 [00:27<00:12,  5.77it/s, v_num=17, loss/train=2.890, loss/val=5.320]
Epoch 1:  68%|██████▊   | 160/235 [00:27<00:12,  5.77it/s, v_num=17, loss/train=2.950, loss/val=5.320]
Epoch 1:  69%|██████▊   | 161/235 [00:27<00:12,  5.78it/s, v_num=17, loss/train=2.950, loss/val=5.320]
Epoch 1:  69%|██████▊   | 161/235 [00:27<00:12,  5.78it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  69%|██████▉   | 162/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  69%|██████▉   | 162/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  69%|██████▉   | 163/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  69%|██████▉   | 163/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.810, loss/val=5.320]
Epoch 1:  70%|██████▉   | 164/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.810, loss/val=5.320]
Epoch 1:  70%|██████▉   | 164/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=2.900, loss/val=5.320]
Epoch 1:  70%|███████   | 165/235 [00:28<00:12,  5.79it/s, v_num=17, loss/train=2.900, loss/val=5.320]
Epoch 1:  70%|███████   | 165/235 [00:28<00:12,  5.79it/s, v_num=17, loss/train=2.930, loss/val=5.320]
Epoch 1:  71%|███████   | 166/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.930, loss/val=5.320]
Epoch 1:  71%|███████   | 166/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  71%|███████   | 167/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  71%|███████   | 167/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  71%|███████▏  | 168/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  71%|███████▏  | 168/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  72%|███████▏  | 169/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  72%|███████▏  | 169/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  72%|███████▏  | 170/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=2.820, loss/val=5.320]
Epoch 1:  72%|███████▏  | 170/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  73%|███████▎  | 171/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  73%|███████▎  | 171/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  73%|███████▎  | 172/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  73%|███████▎  | 172/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=2.860, loss/val=5.320]
Epoch 1:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=2.860, loss/val=5.320]
Epoch 1:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  74%|███████▍  | 174/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  74%|███████▍  | 174/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=2.790, loss/val=5.320]
Epoch 1:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=2.790, loss/val=5.320]
Epoch 1:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=2.850, loss/val=5.320]
Epoch 1:  75%|███████▍  | 176/235 [00:30<00:10,  5.82it/s, v_num=17, loss/train=2.850, loss/val=5.320]
Epoch 1:  75%|███████▍  | 176/235 [00:30<00:10,  5.82it/s, v_num=17, loss/train=2.810, loss/val=5.320]
Epoch 1:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.810, loss/val=5.320]
Epoch 1:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  76%|███████▌  | 178/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.830, loss/val=5.320]
Epoch 1:  76%|███████▌  | 178/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.730, loss/val=5.320]
Epoch 1:  76%|███████▌  | 179/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.730, loss/val=5.320]
Epoch 1:  76%|███████▌  | 179/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  77%|███████▋  | 180/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  77%|███████▋  | 180/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=2.760, loss/val=5.320]
Epoch 1:  77%|███████▋  | 181/235 [00:31<00:09,  5.82it/s, v_num=17, loss/train=2.760, loss/val=5.320]
Epoch 1:  77%|███████▋  | 181/235 [00:31<00:09,  5.82it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  77%|███████▋  | 182/235 [00:31<00:09,  5.83it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  77%|███████▋  | 182/235 [00:31<00:09,  5.83it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  78%|███████▊  | 183/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  78%|███████▊  | 183/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  78%|███████▊  | 184/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=2.840, loss/val=5.320]
Epoch 1:  78%|███████▊  | 184/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  79%|███████▊  | 185/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.780, loss/val=5.320]
Epoch 1:  79%|███████▊  | 185/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  79%|███████▉  | 186/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  79%|███████▉  | 186/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  80%|███████▉  | 187/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  80%|███████▉  | 187/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  80%|████████  | 188/235 [00:32<00:08,  5.84it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  80%|████████  | 188/235 [00:32<00:08,  5.84it/s, v_num=17, loss/train=2.660, loss/val=5.320]
Epoch 1:  80%|████████  | 189/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=2.660, loss/val=5.320]
Epoch 1:  80%|████████  | 189/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  81%|████████  | 190/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  81%|████████  | 190/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=2.770, loss/val=5.320]
Epoch 1:  81%|████████▏ | 191/235 [00:32<00:07,  5.85it/s, v_num=17, loss/train=2.770, loss/val=5.320]
Epoch 1:  81%|████████▏ | 191/235 [00:32<00:07,  5.85it/s, v_num=17, loss/train=2.770, loss/val=5.320]
Epoch 1:  82%|████████▏ | 192/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=2.770, loss/val=5.320]
Epoch 1:  82%|████████▏ | 192/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=2.740, loss/val=5.320]
Epoch 1:  82%|████████▏ | 193/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=2.740, loss/val=5.320]
Epoch 1:  82%|████████▏ | 193/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  83%|████████▎ | 194/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  83%|████████▎ | 194/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  83%|████████▎ | 195/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  83%|████████▎ | 195/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=2.710, loss/val=5.320]
Epoch 1:  83%|████████▎ | 196/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.710, loss/val=5.320]
Epoch 1:  83%|████████▎ | 196/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.790, loss/val=5.320]
Epoch 1:  84%|████████▍ | 197/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.790, loss/val=5.320]
Epoch 1:  84%|████████▍ | 197/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  84%|████████▍ | 198/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  84%|████████▍ | 198/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  85%|████████▌ | 200/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  85%|████████▌ | 200/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  86%|████████▌ | 201/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  86%|████████▌ | 201/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  86%|████████▋ | 203/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.700, loss/val=5.320]
Epoch 1:  86%|████████▋ | 203/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  87%|████████▋ | 204/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  87%|████████▋ | 204/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  87%|████████▋ | 205/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  87%|████████▋ | 205/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  88%|████████▊ | 206/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  88%|████████▊ | 206/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.760, loss/val=5.320]
Epoch 1:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.760, loss/val=5.320]
Epoch 1:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.680, loss/val=5.320]
Epoch 1:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.680, loss/val=5.320]
Epoch 1:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.740, loss/val=5.320]
Epoch 1:  89%|████████▉ | 209/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.740, loss/val=5.320]
Epoch 1:  89%|████████▉ | 209/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  89%|████████▉ | 210/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  89%|████████▉ | 210/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.480, loss/val=5.320]
Epoch 1:  90%|████████▉ | 211/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.480, loss/val=5.320]
Epoch 1:  90%|████████▉ | 211/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=2.620, loss/val=5.320]
Epoch 1:  90%|█████████ | 212/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.620, loss/val=5.320]
Epoch 1:  90%|█████████ | 212/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.750, loss/val=5.320]
Epoch 1:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.590, loss/val=5.320]
Epoch 1:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.590, loss/val=5.320]
Epoch 1:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  91%|█████████▏| 215/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  91%|█████████▏| 215/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  92%|█████████▏| 216/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  92%|█████████▏| 216/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  92%|█████████▏| 217/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  92%|█████████▏| 217/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=2.600, loss/val=5.320]
Epoch 1:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  93%|█████████▎| 219/235 [00:36<00:02,  5.94it/s, v_num=17, loss/train=2.690, loss/val=5.320]
Epoch 1:  93%|█████████▎| 219/235 [00:36<00:02,  5.94it/s, v_num=17, loss/train=2.540, loss/val=5.320]
Epoch 1:  94%|█████████▎| 220/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=2.540, loss/val=5.320]
Epoch 1:  94%|█████████▎| 220/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=2.550, loss/val=5.320]
Epoch 1:  94%|█████████▍| 221/235 [00:37<00:02,  5.96it/s, v_num=17, loss/train=2.550, loss/val=5.320]
Epoch 1:  94%|█████████▍| 221/235 [00:37<00:02,  5.96it/s, v_num=17, loss/train=2.610, loss/val=5.320]
Epoch 1:  94%|█████████▍| 222/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=2.610, loss/val=5.320]
Epoch 1:  94%|█████████▍| 222/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=2.650, loss/val=5.320]
Epoch 1:  95%|█████████▍| 223/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=2.650, loss/val=5.320]
Epoch 1:  95%|█████████▍| 223/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  96%|█████████▌| 225/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=2.640, loss/val=5.320]
Epoch 1:  96%|█████████▌| 225/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=2.680, loss/val=5.320]
Epoch 1:  96%|█████████▌| 226/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=2.680, loss/val=5.320]
Epoch 1:  96%|█████████▌| 226/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=2.570, loss/val=5.320]
Epoch 1:  97%|█████████▋| 227/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=2.570, loss/val=5.320]
Epoch 1:  97%|█████████▋| 227/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  97%|█████████▋| 228/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=2.670, loss/val=5.320]
Epoch 1:  97%|█████████▋| 228/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  97%|█████████▋| 229/235 [00:37<00:00,  6.05it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  97%|█████████▋| 229/235 [00:37<00:00,  6.05it/s, v_num=17, loss/train=2.610, loss/val=5.320]
Epoch 1:  98%|█████████▊| 230/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=2.610, loss/val=5.320]
Epoch 1:  98%|█████████▊| 230/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=2.510, loss/val=5.320]
Epoch 1:  98%|█████████▊| 231/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=2.510, loss/val=5.320]
Epoch 1:  98%|█████████▊| 231/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=2.590, loss/val=5.320]
Epoch 1:  99%|█████████▊| 232/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=2.590, loss/val=5.320]
Epoch 1:  99%|█████████▊| 232/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  99%|█████████▉| 233/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=2.560, loss/val=5.320]
Epoch 1:  99%|█████████▉| 233/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1: 100%|█████████▉| 234/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=2.630, loss/val=5.320]
Epoch 1: 100%|█████████▉| 234/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=2.620, loss/val=5.320]
Epoch 1: 100%|██████████| 235/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=2.620, loss/val=5.320]
Epoch 1: 100%|██████████| 235/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=1.700, loss/val=5.320]

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Epoch 1: 100%|██████████| 235/235 [00:44<00:00,  5.32it/s, v_num=17, loss/train=1.700, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 1: 100%|██████████| 235/235 [00:44<00:00,  5.32it/s, v_num=17, loss/train=1.700, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 1:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=1.700, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=1.700, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   0%|          | 1/235 [00:02<10:22,  0.38it/s, v_num=17, loss/train=1.700, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   0%|          | 1/235 [00:02<10:22,  0.38it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   1%|          | 2/235 [00:02<05:26,  0.71it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   1%|          | 2/235 [00:02<05:26,  0.71it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   1%|▏         | 3/235 [00:02<03:47,  1.02it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   1%|▏         | 3/235 [00:02<03:47,  1.02it/s, v_num=17, loss/train=2.680, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   2%|▏         | 4/235 [00:03<02:56,  1.31it/s, v_num=17, loss/train=2.680, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   2%|▏         | 4/235 [00:03<02:57,  1.30it/s, v_num=17, loss/train=2.650, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   2%|▏         | 5/235 [00:03<02:28,  1.55it/s, v_num=17, loss/train=2.650, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   2%|▏         | 5/235 [00:03<02:28,  1.55it/s, v_num=17, loss/train=2.620, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 6/235 [00:03<02:08,  1.78it/s, v_num=17, loss/train=2.620, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 6/235 [00:03<02:08,  1.78it/s, v_num=17, loss/train=2.660, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 7/235 [00:03<01:58,  1.93it/s, v_num=17, loss/train=2.660, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 7/235 [00:03<01:58,  1.93it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 8/235 [00:03<01:47,  2.12it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   3%|▎         | 8/235 [00:03<01:47,  2.12it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   4%|▍         | 9/235 [00:03<01:38,  2.30it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   4%|▍         | 9/235 [00:03<01:38,  2.30it/s, v_num=17, loss/train=2.550, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   4%|▍         | 10/235 [00:04<01:31,  2.46it/s, v_num=17, loss/train=2.550, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   4%|▍         | 10/235 [00:04<01:31,  2.46it/s, v_num=17, loss/train=2.760, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   5%|▍         | 11/235 [00:04<01:25,  2.62it/s, v_num=17, loss/train=2.760, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   5%|▍         | 11/235 [00:04<01:25,  2.62it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   5%|▌         | 12/235 [00:04<01:20,  2.77it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   5%|▌         | 12/235 [00:04<01:20,  2.77it/s, v_num=17, loss/train=2.650, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▌         | 13/235 [00:04<01:16,  2.89it/s, v_num=17, loss/train=2.650, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▌         | 13/235 [00:04<01:16,  2.89it/s, v_num=17, loss/train=2.680, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▌         | 14/235 [00:04<01:13,  3.02it/s, v_num=17, loss/train=2.680, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▌         | 14/235 [00:04<01:13,  3.02it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▋         | 15/235 [00:04<01:10,  3.13it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   6%|▋         | 15/235 [00:04<01:10,  3.13it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   7%|▋         | 16/235 [00:04<01:07,  3.25it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   7%|▋         | 16/235 [00:04<01:07,  3.25it/s, v_num=17, loss/train=2.640, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   7%|▋         | 17/235 [00:05<01:06,  3.28it/s, v_num=17, loss/train=2.640, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   7%|▋         | 17/235 [00:05<01:06,  3.28it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   8%|▊         | 18/235 [00:05<01:04,  3.36it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   8%|▊         | 18/235 [00:05<01:04,  3.36it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   8%|▊         | 19/235 [00:05<01:02,  3.46it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   8%|▊         | 19/235 [00:05<01:02,  3.46it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▊         | 20/235 [00:05<01:01,  3.52it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▊         | 20/235 [00:05<01:01,  3.52it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▉         | 21/235 [00:05<00:59,  3.61it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▉         | 21/235 [00:05<00:59,  3.61it/s, v_num=17, loss/train=2.560, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▉         | 22/235 [00:05<00:57,  3.70it/s, v_num=17, loss/train=2.560, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   9%|▉         | 22/235 [00:05<00:57,  3.70it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  10%|▉         | 23/235 [00:06<00:55,  3.79it/s, v_num=17, loss/train=2.590, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  10%|▉         | 23/235 [00:06<00:55,  3.79it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  10%|█         | 24/235 [00:06<00:55,  3.83it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  10%|█         | 24/235 [00:06<00:55,  3.83it/s, v_num=17, loss/train=2.630, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█         | 25/235 [00:06<00:54,  3.87it/s, v_num=17, loss/train=2.630, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█         | 25/235 [00:06<00:54,  3.87it/s, v_num=17, loss/train=2.550, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█         | 26/235 [00:06<00:53,  3.94it/s, v_num=17, loss/train=2.550, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█         | 26/235 [00:06<00:53,  3.94it/s, v_num=17, loss/train=2.580, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█▏        | 27/235 [00:06<00:51,  4.01it/s, v_num=17, loss/train=2.580, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  11%|█▏        | 27/235 [00:06<00:51,  4.01it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  12%|█▏        | 28/235 [00:06<00:51,  4.01it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  12%|█▏        | 28/235 [00:06<00:51,  4.01it/s, v_num=17, loss/train=2.520, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  12%|█▏        | 29/235 [00:07<00:50,  4.07it/s, v_num=17, loss/train=2.520, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  12%|█▏        | 29/235 [00:07<00:50,  4.07it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  13%|█▎        | 30/235 [00:07<00:49,  4.12it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  13%|█▎        | 30/235 [00:07<00:49,  4.12it/s, v_num=17, loss/train=2.610, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  13%|█▎        | 31/235 [00:07<00:48,  4.17it/s, v_num=17, loss/train=2.610, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  13%|█▎        | 31/235 [00:07<00:48,  4.17it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▎        | 32/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▎        | 32/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▍        | 33/235 [00:07<00:47,  4.27it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▍        | 33/235 [00:07<00:47,  4.27it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▍        | 34/235 [00:07<00:46,  4.29it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  14%|█▍        | 34/235 [00:07<00:46,  4.29it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  15%|█▍        | 35/235 [00:08<00:46,  4.33it/s, v_num=17, loss/train=2.600, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  15%|█▍        | 35/235 [00:08<00:46,  4.33it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  15%|█▌        | 36/235 [00:08<00:45,  4.38it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  15%|█▌        | 36/235 [00:08<00:45,  4.38it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  16%|█▌        | 37/235 [00:08<00:44,  4.41it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  16%|█▌        | 37/235 [00:08<00:44,  4.41it/s, v_num=17, loss/train=2.560, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  16%|█▌        | 38/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=2.560, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  16%|█▌        | 38/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 39/235 [00:08<00:43,  4.48it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 39/235 [00:08<00:43,  4.48it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 40/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 40/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 41/235 [00:09<00:42,  4.55it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  17%|█▋        | 41/235 [00:09<00:42,  4.55it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  18%|█▊        | 42/235 [00:09<00:42,  4.59it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  18%|█▊        | 42/235 [00:09<00:42,  4.58it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  18%|█▊        | 43/235 [00:09<00:41,  4.63it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  18%|█▊        | 43/235 [00:09<00:41,  4.63it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  19%|█▊        | 44/235 [00:09<00:40,  4.67it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  19%|█▊        | 44/235 [00:09<00:40,  4.67it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  19%|█▉        | 45/235 [00:09<00:41,  4.61it/s, v_num=17, loss/train=2.530, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  19%|█▉        | 45/235 [00:09<00:41,  4.61it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|█▉        | 46/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|█▉        | 46/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|██        | 47/235 [00:10<00:40,  4.69it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|██        | 47/235 [00:10<00:40,  4.69it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|██        | 48/235 [00:10<00:39,  4.71it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  20%|██        | 48/235 [00:10<00:39,  4.71it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  21%|██        | 49/235 [00:10<00:39,  4.75it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  21%|██        | 49/235 [00:10<00:39,  4.75it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  21%|██▏       | 50/235 [00:10<00:38,  4.76it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  21%|██▏       | 50/235 [00:10<00:38,  4.76it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  22%|██▏       | 51/235 [00:10<00:38,  4.80it/s, v_num=17, loss/train=2.570, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  22%|██▏       | 51/235 [00:10<00:38,  4.80it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  22%|██▏       | 52/235 [00:10<00:37,  4.83it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  22%|██▏       | 52/235 [00:10<00:37,  4.83it/s, v_num=17, loss/train=2.520, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 53/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=2.520, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 53/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 54/235 [00:11<00:37,  4.85it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 54/235 [00:11<00:37,  4.85it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 55/235 [00:11<00:36,  4.88it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  23%|██▎       | 55/235 [00:11<00:36,  4.88it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  24%|██▍       | 56/235 [00:11<00:36,  4.92it/s, v_num=17, loss/train=2.540, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  24%|██▍       | 56/235 [00:11<00:36,  4.92it/s, v_num=17, loss/train=2.370, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  24%|██▍       | 57/235 [00:11<00:36,  4.92it/s, v_num=17, loss/train=2.370, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  24%|██▍       | 57/235 [00:11<00:36,  4.92it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  25%|██▍       | 58/235 [00:11<00:35,  4.94it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  25%|██▍       | 58/235 [00:11<00:35,  4.94it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  25%|██▌       | 59/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  25%|██▌       | 59/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▌       | 60/235 [00:12<00:35,  4.97it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▌       | 60/235 [00:12<00:35,  4.97it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▌       | 61/235 [00:12<00:34,  5.00it/s, v_num=17, loss/train=2.480, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▌       | 61/235 [00:12<00:34,  5.00it/s, v_num=17, loss/train=2.340, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▋       | 62/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=2.340, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  26%|██▋       | 62/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  27%|██▋       | 63/235 [00:12<00:34,  5.03it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  27%|██▋       | 63/235 [00:12<00:34,  5.03it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  27%|██▋       | 64/235 [00:12<00:33,  5.05it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  27%|██▋       | 64/235 [00:12<00:33,  5.05it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  28%|██▊       | 65/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  28%|██▊       | 65/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  28%|██▊       | 66/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=2.500, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  28%|██▊       | 66/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▊       | 67/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▊       | 67/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▉       | 68/235 [00:13<00:32,  5.08it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▉       | 68/235 [00:13<00:32,  5.08it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▉       | 69/235 [00:13<00:32,  5.10it/s, v_num=17, loss/train=2.470, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  29%|██▉       | 69/235 [00:13<00:32,  5.10it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  30%|██▉       | 70/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=2.510, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  30%|██▉       | 70/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  30%|███       | 71/235 [00:13<00:31,  5.15it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  30%|███       | 71/235 [00:13<00:31,  5.15it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███       | 72/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███       | 72/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███       | 73/235 [00:14<00:31,  5.17it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███       | 73/235 [00:14<00:31,  5.17it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███▏      | 74/235 [00:14<00:31,  5.19it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  31%|███▏      | 74/235 [00:14<00:31,  5.19it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  32%|███▏      | 75/235 [00:14<00:30,  5.20it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  32%|███▏      | 75/235 [00:14<00:30,  5.20it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  32%|███▏      | 76/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  32%|███▏      | 76/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  33%|███▎      | 77/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  33%|███▎      | 77/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  33%|███▎      | 78/235 [00:14<00:29,  5.24it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  33%|███▎      | 78/235 [00:14<00:29,  5.24it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▎      | 79/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▎      | 79/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▍      | 80/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▍      | 80/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▍      | 81/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=2.420, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  34%|███▍      | 81/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  35%|███▍      | 82/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  35%|███▍      | 82/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  35%|███▌      | 83/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  35%|███▌      | 83/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  36%|███▌      | 84/235 [00:15<00:28,  5.30it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  36%|███▌      | 84/235 [00:15<00:28,  5.30it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  36%|███▌      | 85/235 [00:16<00:28,  5.30it/s, v_num=17, loss/train=2.450, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  36%|███▌      | 85/235 [00:16<00:28,  5.30it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 86/235 [00:16<00:28,  5.32it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 86/235 [00:16<00:28,  5.32it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 87/235 [00:16<00:27,  5.33it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 87/235 [00:16<00:27,  5.33it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 88/235 [00:16<00:27,  5.33it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  37%|███▋      | 88/235 [00:16<00:27,  5.33it/s, v_num=17, loss/train=2.360, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  38%|███▊      | 89/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=2.360, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  38%|███▊      | 89/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  38%|███▊      | 90/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=2.410, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  38%|███▊      | 90/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=2.460, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  39%|███▊      | 91/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=2.460, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  39%|███▊      | 91/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  39%|███▉      | 92/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  39%|███▉      | 92/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|███▉      | 93/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|███▉      | 93/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|████      | 94/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|████      | 94/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|████      | 95/235 [00:17<00:25,  5.39it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  40%|████      | 95/235 [00:17<00:25,  5.39it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  41%|████      | 96/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  41%|████      | 96/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  41%|████▏     | 97/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  41%|████▏     | 97/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  42%|████▏     | 98/235 [00:18<00:25,  5.41it/s, v_num=17, loss/train=2.440, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  42%|████▏     | 98/235 [00:18<00:25,  5.41it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  42%|████▏     | 99/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  42%|████▏     | 99/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=2.370, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 100/235 [00:18<00:24,  5.42it/s, v_num=17, loss/train=2.370, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 100/235 [00:18<00:24,  5.42it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 101/235 [00:18<00:24,  5.43it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 101/235 [00:18<00:24,  5.43it/s, v_num=17, loss/train=2.360, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 102/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=2.360, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  43%|████▎     | 102/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  44%|████▍     | 103/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  44%|████▍     | 103/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  44%|████▍     | 104/235 [00:19<00:24,  5.44it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  44%|████▍     | 104/235 [00:19<00:24,  5.44it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  45%|████▍     | 105/235 [00:19<00:23,  5.46it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  45%|████▍     | 105/235 [00:19<00:23,  5.46it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  45%|████▌     | 106/235 [00:19<00:23,  5.47it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  45%|████▌     | 106/235 [00:19<00:23,  5.47it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▌     | 107/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=2.330, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▌     | 107/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▌     | 108/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=2.490, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▌     | 108/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▋     | 109/235 [00:19<00:22,  5.50it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  46%|████▋     | 109/235 [00:19<00:22,  5.50it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  47%|████▋     | 110/235 [00:20<00:22,  5.50it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  47%|████▋     | 110/235 [00:20<00:22,  5.49it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  47%|████▋     | 111/235 [00:20<00:22,  5.49it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  47%|████▋     | 111/235 [00:20<00:22,  5.49it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  48%|████▊     | 112/235 [00:20<00:22,  5.50it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  48%|████▊     | 112/235 [00:20<00:22,  5.50it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  48%|████▊     | 113/235 [00:20<00:22,  5.51it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  48%|████▊     | 113/235 [00:20<00:22,  5.51it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▊     | 114/235 [00:20<00:21,  5.51it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▊     | 114/235 [00:20<00:21,  5.51it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▉     | 115/235 [00:20<00:21,  5.52it/s, v_num=17, loss/train=2.390, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▉     | 115/235 [00:20<00:21,  5.51it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▉     | 116/235 [00:21<00:21,  5.52it/s, v_num=17, loss/train=2.350, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  49%|████▉     | 116/235 [00:21<00:21,  5.52it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  50%|████▉     | 117/235 [00:21<00:21,  5.53it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  50%|████▉     | 117/235 [00:21<00:21,  5.53it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  50%|█████     | 118/235 [00:21<00:21,  5.54it/s, v_num=17, loss/train=2.320, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  50%|█████     | 118/235 [00:21<00:21,  5.54it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████     | 119/235 [00:21<00:20,  5.55it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████     | 119/235 [00:21<00:20,  5.55it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████     | 120/235 [00:21<00:20,  5.54it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████     | 120/235 [00:21<00:20,  5.54it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████▏    | 121/235 [00:21<00:20,  5.55it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  51%|█████▏    | 121/235 [00:21<00:20,  5.55it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  53%|█████▎    | 125/235 [00:22<00:19,  5.57it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  53%|█████▎    | 125/235 [00:22<00:19,  5.57it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▎    | 126/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.430, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▎    | 126/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▍    | 127/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▍    | 127/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=2.340, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▍    | 128/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=2.340, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  54%|█████▍    | 128/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  55%|█████▍    | 129/235 [00:23<00:18,  5.59it/s, v_num=17, loss/train=2.380, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  55%|█████▍    | 129/235 [00:23<00:18,  5.59it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  55%|█████▌    | 130/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=2.290, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  55%|█████▌    | 130/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  56%|█████▌    | 131/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=2.300, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  56%|█████▌    | 131/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  56%|█████▌    | 132/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  56%|█████▌    | 132/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 133/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 133/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 134/235 [00:23<00:17,  5.61it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 134/235 [00:23<00:17,  5.61it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 135/235 [00:24<00:17,  5.61it/s, v_num=17, loss/train=2.400, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  57%|█████▋    | 135/235 [00:24<00:17,  5.61it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  58%|█████▊    | 136/235 [00:24<00:17,  5.61it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  58%|█████▊    | 136/235 [00:24<00:17,  5.61it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  58%|█████▊    | 137/235 [00:24<00:17,  5.62it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  58%|█████▊    | 137/235 [00:24<00:17,  5.62it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  59%|█████▊    | 138/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  59%|█████▊    | 138/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  59%|█████▉    | 139/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  59%|█████▉    | 139/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|█████▉    | 140/235 [00:24<00:16,  5.64it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|█████▉    | 140/235 [00:24<00:16,  5.64it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|██████    | 141/235 [00:24<00:16,  5.64it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|██████    | 141/235 [00:24<00:16,  5.64it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|██████    | 142/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  60%|██████    | 142/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  61%|██████    | 143/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=2.260, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  61%|██████    | 143/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  61%|██████▏   | 144/235 [00:25<00:16,  5.65it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  61%|██████▏   | 144/235 [00:25<00:16,  5.65it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  62%|██████▏   | 145/235 [00:25<00:15,  5.65it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  62%|██████▏   | 145/235 [00:25<00:15,  5.65it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  62%|██████▏   | 146/235 [00:25<00:15,  5.65it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  62%|██████▏   | 146/235 [00:25<00:15,  5.65it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 147/235 [00:25<00:15,  5.66it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 147/235 [00:25<00:15,  5.66it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 148/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 148/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 149/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  63%|██████▎   | 149/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  64%|██████▍   | 150/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  64%|██████▍   | 150/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  64%|██████▍   | 151/235 [00:26<00:14,  5.67it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  64%|██████▍   | 151/235 [00:26<00:14,  5.67it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  65%|██████▍   | 152/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  65%|██████▍   | 152/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  65%|██████▌   | 153/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  65%|██████▌   | 153/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▌   | 154/235 [00:27<00:14,  5.68it/s, v_num=17, loss/train=2.270, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▌   | 154/235 [00:27<00:14,  5.68it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▌   | 155/235 [00:27<00:14,  5.69it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▌   | 155/235 [00:27<00:14,  5.69it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▋   | 156/235 [00:27<00:13,  5.69it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  66%|██████▋   | 156/235 [00:27<00:13,  5.69it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  67%|██████▋   | 157/235 [00:27<00:13,  5.69it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  67%|██████▋   | 157/235 [00:27<00:13,  5.69it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  67%|██████▋   | 158/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=2.240, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  67%|██████▋   | 158/235 [00:27<00:13,  5.69it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  68%|██████▊   | 159/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  68%|██████▊   | 159/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  68%|██████▊   | 160/235 [00:28<00:13,  5.71it/s, v_num=17, loss/train=2.220, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  68%|██████▊   | 160/235 [00:28<00:13,  5.71it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▊   | 161/235 [00:28<00:12,  5.70it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▊   | 161/235 [00:28<00:12,  5.70it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▉   | 162/235 [00:28<00:12,  5.70it/s, v_num=17, loss/train=2.200, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▉   | 162/235 [00:28<00:12,  5.70it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▉   | 163/235 [00:28<00:12,  5.71it/s, v_num=17, loss/train=2.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  69%|██████▉   | 163/235 [00:28<00:12,  5.71it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  70%|██████▉   | 164/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=2.210, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  70%|██████▉   | 164/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  70%|███████   | 165/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  70%|███████   | 165/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████   | 166/235 [00:29<00:12,  5.72it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████   | 166/235 [00:29<00:12,  5.72it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████   | 167/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████   | 167/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████▏  | 168/235 [00:29<00:11,  5.74it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  71%|███████▏  | 168/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  72%|███████▏  | 169/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  72%|███████▏  | 169/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  72%|███████▏  | 170/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  72%|███████▏  | 170/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  73%|███████▎  | 171/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  73%|███████▎  | 171/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  73%|███████▎  | 172/235 [00:29<00:10,  5.74it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  73%|███████▎  | 172/235 [00:29<00:10,  5.74it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▎  | 173/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▎  | 173/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▍  | 174/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▍  | 174/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▍  | 175/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.180, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  74%|███████▍  | 175/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  75%|███████▍  | 176/235 [00:30<00:10,  5.76it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  75%|███████▍  | 176/235 [00:30<00:10,  5.76it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  76%|███████▌  | 179/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  76%|███████▌  | 179/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 180/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 180/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 181/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.170, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 181/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 182/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  77%|███████▋  | 182/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  78%|███████▊  | 183/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  78%|███████▊  | 183/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=2.110, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  78%|███████▊  | 184/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=2.110, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  78%|███████▊  | 184/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  79%|███████▊  | 185/235 [00:32<00:08,  5.77it/s, v_num=17, loss/train=2.190, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  79%|███████▊  | 185/235 [00:32<00:08,  5.77it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  79%|███████▉  | 186/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  79%|███████▉  | 186/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|███████▉  | 187/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|███████▉  | 187/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|████████  | 188/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|████████  | 188/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|████████  | 189/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  80%|████████  | 189/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=2.110, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  81%|████████  | 190/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=2.110, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  81%|████████  | 190/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  81%|████████▏ | 191/235 [00:32<00:07,  5.80it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  81%|████████▏ | 191/235 [00:32<00:07,  5.80it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  82%|████████▏ | 192/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  82%|████████▏ | 192/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  82%|████████▏ | 193/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.140, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  82%|████████▏ | 193/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 194/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 194/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 195/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 195/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 196/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  83%|████████▎ | 196/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  84%|████████▍ | 197/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  84%|████████▍ | 197/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  84%|████████▍ | 198/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  84%|████████▍ | 198/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  85%|████████▍ | 199/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.150, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  85%|████████▍ | 199/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  85%|████████▌ | 200/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  85%|████████▌ | 200/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▌ | 201/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▌ | 201/235 [00:34<00:05,  5.82it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▌ | 202/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=2.120, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▌ | 202/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▋ | 203/235 [00:34<00:05,  5.84it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  86%|████████▋ | 203/235 [00:34<00:05,  5.84it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  87%|████████▋ | 204/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  87%|████████▋ | 204/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  87%|████████▋ | 205/235 [00:35<00:05,  5.85it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  87%|████████▋ | 205/235 [00:35<00:05,  5.85it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  88%|████████▊ | 207/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  88%|████████▊ | 207/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▊ | 208/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▊ | 208/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.100, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▉ | 210/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  89%|████████▉ | 210/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  90%|████████▉ | 211/235 [00:36<00:04,  5.85it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  90%|████████▉ | 211/235 [00:36<00:04,  5.85it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████ | 213/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.080, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████ | 213/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.000, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████ | 214/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.000, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████ | 214/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████▏| 215/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  91%|█████████▏| 215/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  92%|█████████▏| 216/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  92%|█████████▏| 216/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  92%|█████████▏| 217/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=2.040, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  92%|█████████▏| 217/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=2.090, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=1.960, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=1.960, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=1.980, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=1.980, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▍| 221/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▍| 221/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▍| 222/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=2.060, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  94%|█████████▍| 222/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  95%|█████████▍| 223/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  95%|█████████▍| 223/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=2.050, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  95%|█████████▌| 224/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=2.050, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  95%|█████████▌| 224/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=1.980, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  96%|█████████▌| 225/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=1.980, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  96%|█████████▌| 225/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=2.020, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 228/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 228/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 229/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=2.070, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  97%|█████████▋| 229/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  98%|█████████▊| 230/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  98%|█████████▊| 230/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=2.050, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  98%|█████████▊| 231/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=2.050, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  98%|█████████▊| 231/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  99%|█████████▊| 232/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=2.130, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  99%|█████████▊| 232/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  99%|█████████▉| 233/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=2.030, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:  99%|█████████▉| 233/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2: 100%|█████████▉| 234/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=1.990, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2: 100%|█████████▉| 234/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=1.950, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2: 100%|██████████| 235/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=1.950, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2: 100%|██████████| 235/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=1.250, loss/val=2.860, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]

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Epoch 2: 100%|██████████| 235/235 [00:43<00:00,  5.40it/s, v_num=17, loss/train=1.250, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2: 100%|██████████| 235/235 [00:43<00:00,  5.40it/s, v_num=17, loss/train=1.250, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 2:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=1.250, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=1.250, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   0%|          | 1/235 [00:02<10:15,  0.38it/s, v_num=17, loss/train=1.250, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   0%|          | 1/235 [00:02<10:15,  0.38it/s, v_num=17, loss/train=1.980, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   1%|          | 2/235 [00:02<05:21,  0.72it/s, v_num=17, loss/train=1.980, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   1%|          | 2/235 [00:02<05:21,  0.72it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=1.970, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   2%|▏         | 4/235 [00:03<02:56,  1.31it/s, v_num=17, loss/train=1.970, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   2%|▏         | 4/235 [00:03<02:56,  1.31it/s, v_num=17, loss/train=2.080, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=2.080, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 6/235 [00:03<02:07,  1.79it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 6/235 [00:03<02:08,  1.79it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 7/235 [00:03<01:54,  2.00it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 7/235 [00:03<01:54,  2.00it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   4%|▍         | 9/235 [00:03<01:34,  2.39it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   4%|▍         | 9/235 [00:03<01:34,  2.39it/s, v_num=17, loss/train=2.020, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   4%|▍         | 10/235 [00:03<01:28,  2.55it/s, v_num=17, loss/train=2.020, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   4%|▍         | 10/235 [00:03<01:28,  2.55it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=2.050, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=2.050, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=2.050, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▌         | 13/235 [00:04<01:15,  2.93it/s, v_num=17, loss/train=2.050, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▌         | 13/235 [00:04<01:15,  2.93it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=2.070, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▋         | 15/235 [00:04<01:09,  3.15it/s, v_num=17, loss/train=2.070, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   6%|▋         | 15/235 [00:04<01:09,  3.15it/s, v_num=17, loss/train=2.010, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   7%|▋         | 16/235 [00:04<01:07,  3.26it/s, v_num=17, loss/train=2.010, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   7%|▋         | 16/235 [00:04<01:07,  3.26it/s, v_num=17, loss/train=2.030, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=2.030, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   8%|▊         | 18/235 [00:05<01:02,  3.45it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   8%|▊         | 18/235 [00:05<01:02,  3.45it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   8%|▊         | 19/235 [00:05<01:00,  3.54it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   8%|▊         | 19/235 [00:05<01:00,  3.54it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▉         | 21/235 [00:05<00:58,  3.67it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▉         | 21/235 [00:05<00:58,  3.67it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▉         | 22/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:   9%|▉         | 22/235 [00:05<00:57,  3.72it/s, v_num=17, loss/train=1.990, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=1.990, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█         | 25/235 [00:06<00:53,  3.92it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█         | 25/235 [00:06<00:53,  3.91it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█         | 26/235 [00:06<00:52,  3.99it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█         | 26/235 [00:06<00:52,  3.99it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█▏        | 27/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  11%|█▏        | 27/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  12%|█▏        | 28/235 [00:06<00:50,  4.12it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  12%|█▏        | 28/235 [00:06<00:50,  4.12it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  12%|█▏        | 29/235 [00:06<00:49,  4.17it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  12%|█▏        | 29/235 [00:06<00:49,  4.17it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  13%|█▎        | 30/235 [00:07<00:48,  4.21it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  13%|█▎        | 30/235 [00:07<00:48,  4.21it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  13%|█▎        | 31/235 [00:07<00:47,  4.25it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  13%|█▎        | 31/235 [00:07<00:47,  4.25it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▎        | 32/235 [00:07<00:47,  4.31it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▎        | 32/235 [00:07<00:47,  4.31it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▍        | 33/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▍        | 33/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▍        | 34/235 [00:07<00:45,  4.37it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  14%|█▍        | 34/235 [00:07<00:45,  4.37it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  15%|█▍        | 35/235 [00:07<00:45,  4.43it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  15%|█▍        | 35/235 [00:07<00:45,  4.43it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  15%|█▌        | 36/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=1.960, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  15%|█▌        | 36/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  16%|█▌        | 37/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  16%|█▌        | 37/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  16%|█▌        | 38/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=2.000, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  16%|█▌        | 38/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 39/235 [00:08<00:43,  4.56it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 39/235 [00:08<00:43,  4.56it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 40/235 [00:08<00:42,  4.60it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 40/235 [00:08<00:42,  4.60it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 41/235 [00:08<00:41,  4.65it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  17%|█▋        | 41/235 [00:08<00:41,  4.65it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  18%|█▊        | 42/235 [00:08<00:41,  4.68it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  18%|█▊        | 42/235 [00:08<00:41,  4.68it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  18%|█▊        | 43/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  18%|█▊        | 43/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  19%|█▊        | 44/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  19%|█▊        | 44/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  19%|█▉        | 45/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=1.950, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  19%|█▉        | 45/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|█▉        | 46/235 [00:09<00:39,  4.74it/s, v_num=17, loss/train=1.890, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|█▉        | 46/235 [00:09<00:39,  4.74it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|██        | 47/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|██        | 47/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|██        | 48/235 [00:10<00:39,  4.78it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  20%|██        | 48/235 [00:10<00:39,  4.78it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  21%|██        | 49/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  21%|██        | 49/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=1.970, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  21%|██▏       | 50/235 [00:10<00:38,  4.84it/s, v_num=17, loss/train=1.970, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  21%|██▏       | 50/235 [00:10<00:38,  4.84it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  22%|██▏       | 51/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=1.870, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  22%|██▏       | 51/235 [00:10<00:37,  4.85it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  22%|██▏       | 52/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  22%|██▏       | 52/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 53/235 [00:10<00:37,  4.91it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 53/235 [00:10<00:37,  4.91it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 54/235 [00:10<00:36,  4.94it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 54/235 [00:10<00:36,  4.93it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 55/235 [00:11<00:36,  4.96it/s, v_num=17, loss/train=1.920, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  23%|██▎       | 55/235 [00:11<00:36,  4.96it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  24%|██▍       | 56/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  24%|██▍       | 56/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  24%|██▍       | 57/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  24%|██▍       | 57/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  25%|██▍       | 58/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  25%|██▍       | 58/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  25%|██▌       | 59/235 [00:11<00:35,  5.00it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  25%|██▌       | 59/235 [00:11<00:35,  5.00it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▌       | 60/235 [00:11<00:34,  5.03it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▌       | 60/235 [00:11<00:34,  5.03it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▌       | 61/235 [00:12<00:34,  5.06it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▌       | 61/235 [00:12<00:34,  5.06it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▋       | 62/235 [00:12<00:34,  5.07it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  26%|██▋       | 62/235 [00:12<00:34,  5.07it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  27%|██▋       | 63/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  27%|██▋       | 63/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  27%|██▋       | 64/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  27%|██▋       | 64/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  28%|██▊       | 65/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  28%|██▊       | 65/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  28%|██▊       | 66/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  28%|██▊       | 66/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▊       | 67/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▊       | 67/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▉       | 69/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.910, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  29%|██▉       | 69/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  30%|██▉       | 70/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  30%|██▉       | 70/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  30%|███       | 71/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  30%|███       | 71/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███       | 72/235 [00:13<00:31,  5.25it/s, v_num=17, loss/train=1.940, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███       | 72/235 [00:13<00:31,  5.25it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███       | 73/235 [00:13<00:30,  5.26it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███       | 73/235 [00:13<00:30,  5.26it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███▏      | 74/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  31%|███▏      | 74/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  32%|███▏      | 75/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  32%|███▏      | 75/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  32%|███▏      | 76/235 [00:14<00:30,  5.28it/s, v_num=17, loss/train=1.930, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  32%|███▏      | 76/235 [00:14<00:30,  5.28it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  33%|███▎      | 77/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  33%|███▎      | 77/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  33%|███▎      | 78/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.880, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  33%|███▎      | 78/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▎      | 79/235 [00:14<00:29,  5.29it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▎      | 79/235 [00:14<00:29,  5.29it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▍      | 80/235 [00:15<00:29,  5.29it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▍      | 80/235 [00:15<00:29,  5.29it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▍      | 81/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  34%|███▍      | 81/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  35%|███▍      | 82/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  35%|███▍      | 82/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  35%|███▌      | 83/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  35%|███▌      | 83/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  36%|███▌      | 84/235 [00:15<00:28,  5.36it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  36%|███▌      | 84/235 [00:15<00:28,  5.36it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  36%|███▌      | 85/235 [00:15<00:27,  5.38it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  36%|███▌      | 85/235 [00:15<00:27,  5.38it/s, v_num=17, loss/train=1.810, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 86/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.810, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 86/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 87/235 [00:16<00:27,  5.38it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 87/235 [00:16<00:27,  5.38it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 88/235 [00:16<00:27,  5.40it/s, v_num=17, loss/train=1.850, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  37%|███▋      | 88/235 [00:16<00:27,  5.40it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  38%|███▊      | 89/235 [00:16<00:27,  5.40it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  38%|███▊      | 89/235 [00:16<00:27,  5.40it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  38%|███▊      | 90/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  38%|███▊      | 90/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  39%|███▊      | 91/235 [00:16<00:26,  5.43it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  39%|███▊      | 91/235 [00:16<00:26,  5.43it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  39%|███▉      | 92/235 [00:16<00:26,  5.45it/s, v_num=17, loss/train=1.840, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  39%|███▉      | 92/235 [00:16<00:26,  5.45it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|███▉      | 93/235 [00:17<00:26,  5.44it/s, v_num=17, loss/train=1.900, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|███▉      | 93/235 [00:17<00:26,  5.44it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|████      | 94/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|████      | 94/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|████      | 95/235 [00:17<00:25,  5.46it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  40%|████      | 95/235 [00:17<00:25,  5.46it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  41%|████      | 96/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  41%|████      | 96/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  41%|████▏     | 97/235 [00:17<00:25,  5.48it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  41%|████▏     | 97/235 [00:17<00:25,  5.48it/s, v_num=17, loss/train=1.810, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  42%|████▏     | 98/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=1.810, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  42%|████▏     | 98/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  42%|████▏     | 99/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  42%|████▏     | 99/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 100/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 100/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 101/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 101/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 102/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  43%|████▎     | 102/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  44%|████▍     | 103/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  44%|████▍     | 103/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▌     | 107/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▌     | 107/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▌     | 108/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▌     | 108/235 [00:19<00:22,  5.54it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▋     | 109/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  46%|████▋     | 109/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  47%|████▋     | 110/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  47%|████▋     | 110/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  47%|████▋     | 111/235 [00:19<00:22,  5.57it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  47%|████▋     | 111/235 [00:19<00:22,  5.57it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  48%|████▊     | 112/235 [00:20<00:22,  5.58it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  48%|████▊     | 112/235 [00:20<00:22,  5.58it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  48%|████▊     | 113/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  48%|████▊     | 113/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▊     | 114/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▊     | 114/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▉     | 115/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▉     | 115/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▉     | 116/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  49%|████▉     | 116/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  50%|████▉     | 117/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  50%|████▉     | 117/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████     | 119/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████     | 119/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████     | 120/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.860, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████     | 120/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  52%|█████▏    | 122/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  52%|█████▏    | 122/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  52%|█████▏    | 123/235 [00:21<00:19,  5.61it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  52%|█████▏    | 123/235 [00:21<00:19,  5.61it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  53%|█████▎    | 124/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  53%|█████▎    | 124/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  53%|█████▎    | 125/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  53%|█████▎    | 125/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▎    | 126/235 [00:22<00:19,  5.64it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▎    | 126/235 [00:22<00:19,  5.64it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▍    | 127/235 [00:22<00:19,  5.64it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▍    | 127/235 [00:22<00:19,  5.64it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▍    | 128/235 [00:22<00:18,  5.64it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  54%|█████▍    | 128/235 [00:22<00:18,  5.64it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  55%|█████▍    | 129/235 [00:22<00:18,  5.64it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  55%|█████▍    | 129/235 [00:22<00:18,  5.64it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  55%|█████▌    | 130/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  55%|█████▌    | 130/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  56%|█████▌    | 132/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  56%|█████▌    | 132/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 133/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.820, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 133/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 134/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 134/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 135/235 [00:23<00:17,  5.68it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  57%|█████▋    | 135/235 [00:23<00:17,  5.68it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  58%|█████▊    | 136/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  58%|█████▊    | 136/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  58%|█████▊    | 137/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  58%|█████▊    | 137/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  59%|█████▊    | 138/235 [00:24<00:17,  5.69it/s, v_num=17, loss/train=1.790, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  59%|█████▊    | 138/235 [00:24<00:17,  5.69it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  59%|█████▉    | 139/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  59%|█████▉    | 139/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|█████▉    | 140/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|█████▉    | 140/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|██████    | 141/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|██████    | 141/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  61%|██████    | 143/235 [00:25<00:16,  5.71it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  61%|██████    | 143/235 [00:25<00:16,  5.71it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  62%|██████▏   | 145/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  62%|██████▏   | 145/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  62%|██████▏   | 146/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  62%|██████▏   | 146/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 147/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 147/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 148/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 148/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 149/235 [00:26<00:15,  5.71it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  63%|██████▎   | 149/235 [00:26<00:15,  5.71it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  64%|██████▍   | 150/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  64%|██████▍   | 150/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  64%|██████▍   | 151/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  64%|██████▍   | 151/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  65%|██████▍   | 152/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  65%|██████▍   | 152/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  65%|██████▌   | 153/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  65%|██████▌   | 153/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▌   | 154/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=1.730, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▌   | 154/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▌   | 155/235 [00:26<00:13,  5.75it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▌   | 155/235 [00:26<00:13,  5.75it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▋   | 156/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  66%|██████▋   | 156/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  67%|██████▋   | 157/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.800, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  67%|██████▋   | 157/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  68%|██████▊   | 159/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  68%|██████▊   | 159/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  68%|██████▊   | 160/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  68%|██████▊   | 160/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▊   | 161/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=1.780, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▊   | 161/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▉   | 162/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▉   | 162/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▉   | 163/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.830, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  69%|██████▉   | 163/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  70%|██████▉   | 164/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  70%|██████▉   | 164/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  70%|███████   | 165/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  70%|███████   | 165/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████   | 166/235 [00:28<00:11,  5.78it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████   | 166/235 [00:28<00:11,  5.78it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████▏  | 168/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  71%|███████▏  | 168/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  72%|███████▏  | 169/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  72%|███████▏  | 169/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  72%|███████▏  | 170/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=1.750, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  72%|███████▏  | 170/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  73%|███████▎  | 171/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  73%|███████▎  | 171/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▍  | 174/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.710, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▍  | 174/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  75%|███████▍  | 176/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  75%|███████▍  | 176/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  76%|███████▌  | 178/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  76%|███████▌  | 178/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  76%|███████▌  | 179/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  76%|███████▌  | 179/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.720, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 181/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 181/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  78%|███████▊  | 183/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  78%|███████▊  | 183/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  78%|███████▊  | 184/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  78%|███████▊  | 184/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  79%|███████▉  | 186/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  79%|███████▉  | 186/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|███████▉  | 187/235 [00:32<00:08,  5.82it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|███████▉  | 187/235 [00:32<00:08,  5.82it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|████████  | 188/235 [00:32<00:08,  5.82it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|████████  | 188/235 [00:32<00:08,  5.82it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|████████  | 189/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  80%|████████  | 189/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  81%|████████  | 190/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  81%|████████  | 190/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  81%|████████▏ | 191/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.610, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  81%|████████▏ | 191/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  82%|████████▏ | 192/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  82%|████████▏ | 192/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  82%|████████▏ | 193/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  82%|████████▏ | 193/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 194/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 194/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 195/235 [00:33<00:06,  5.84it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 195/235 [00:33<00:06,  5.84it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 196/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  83%|████████▎ | 196/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  84%|████████▍ | 197/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.670, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  84%|████████▍ | 197/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  84%|████████▍ | 198/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.770, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  84%|████████▍ | 198/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.640, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  85%|████████▌ | 200/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=1.700, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  85%|████████▌ | 200/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▌ | 201/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▌ | 201/235 [00:34<00:05,  5.85it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▌ | 202/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▌ | 202/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▋ | 203/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.630, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  86%|████████▋ | 203/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  87%|████████▋ | 204/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.690, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  87%|████████▋ | 204/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.560, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  87%|████████▋ | 205/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.560, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  87%|████████▋ | 205/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  88%|████████▊ | 206/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  88%|████████▊ | 206/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  88%|████████▊ | 207/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  88%|████████▊ | 207/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▊ | 208/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▊ | 208/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▉ | 209/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▉ | 209/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▉ | 210/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  89%|████████▉ | 210/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.560, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  90%|████████▉ | 211/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.560, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  90%|████████▉ | 211/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  90%|█████████ | 212/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  90%|█████████ | 212/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████▏| 215/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  91%|█████████▏| 215/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  92%|█████████▏| 216/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  92%|█████████▏| 216/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  92%|█████████▏| 217/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=1.550, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  92%|█████████▏| 217/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  93%|█████████▎| 218/235 [00:36<00:02,  5.91it/s, v_num=17, loss/train=1.680, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  93%|█████████▎| 218/235 [00:36<00:02,  5.91it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  93%|█████████▎| 219/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  93%|█████████▎| 219/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▎| 220/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▎| 220/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▍| 221/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=1.740, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▍| 221/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▍| 222/235 [00:37<00:02,  5.96it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  94%|█████████▍| 222/235 [00:37<00:02,  5.96it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  95%|█████████▍| 223/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=1.660, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  95%|█████████▍| 223/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  95%|█████████▌| 224/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=1.760, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  95%|█████████▌| 224/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=1.490, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  96%|█████████▌| 225/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=1.490, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  96%|█████████▌| 225/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  96%|█████████▌| 226/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  96%|█████████▌| 226/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=1.580, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 227/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=1.580, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 227/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 228/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 228/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 229/235 [00:37<00:00,  6.04it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  97%|█████████▋| 229/235 [00:37<00:00,  6.04it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  98%|█████████▊| 230/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=1.600, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  98%|█████████▊| 230/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=1.500, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  98%|█████████▊| 231/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=1.500, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  98%|█████████▊| 231/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  99%|█████████▊| 232/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=1.650, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  99%|█████████▊| 232/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  99%|█████████▉| 233/235 [00:38<00:00,  6.08it/s, v_num=17, loss/train=1.570, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3:  99%|█████████▉| 233/235 [00:38<00:00,  6.08it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3: 100%|█████████▉| 234/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=1.620, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3: 100%|█████████▉| 234/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3: 100%|██████████| 235/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=1.590, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]
Epoch 3: 100%|██████████| 235/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=0.902, loss/val=2.280, alignment/val=0.131, uniformity/val=-2.63, contrastive_acc/val=0.240]

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Validation DataLoader 0:  50%|█████     | 20/40 [00:02<00:02,  7.16it/s]

Validation DataLoader 0:  52%|█████▎    | 21/40 [00:02<00:02,  7.34it/s]

Validation DataLoader 0:  55%|█████▌    | 22/40 [00:02<00:02,  7.52it/s]

Validation DataLoader 0:  57%|█████▊    | 23/40 [00:02<00:02,  7.77it/s]

Validation DataLoader 0:  60%|██████    | 24/40 [00:03<00:02,  7.87it/s]

Validation DataLoader 0:  62%|██████▎   | 25/40 [00:03<00:01,  8.07it/s]

Validation DataLoader 0:  65%|██████▌   | 26/40 [00:03<00:01,  8.31it/s]

Validation DataLoader 0:  68%|██████▊   | 27/40 [00:03<00:01,  8.55it/s]

Validation DataLoader 0:  70%|███████   | 28/40 [00:03<00:01,  8.81it/s]

Validation DataLoader 0:  72%|███████▎  | 29/40 [00:03<00:01,  9.04it/s]

Validation DataLoader 0:  75%|███████▌  | 30/40 [00:03<00:01,  9.29it/s]

Validation DataLoader 0:  78%|███████▊  | 31/40 [00:03<00:00,  9.53it/s]

Validation DataLoader 0:  80%|████████  | 32/40 [00:03<00:00,  9.77it/s]

Validation DataLoader 0:  82%|████████▎ | 33/40 [00:03<00:00, 10.00it/s]

Validation DataLoader 0:  85%|████████▌ | 34/40 [00:03<00:00, 10.22it/s]

Validation DataLoader 0:  88%|████████▊ | 35/40 [00:03<00:00, 10.44it/s]

Validation DataLoader 0:  90%|█████████ | 36/40 [00:03<00:00, 10.65it/s]

Validation DataLoader 0:  92%|█████████▎| 37/40 [00:03<00:00, 10.87it/s]

Validation DataLoader 0:  95%|█████████▌| 38/40 [00:03<00:00, 11.09it/s]

Validation DataLoader 0:  98%|█████████▊| 39/40 [00:03<00:00, 11.31it/s]

Validation DataLoader 0: 100%|██████████| 40/40 [00:03<00:00, 11.58it/s]


Epoch 3: 100%|██████████| 235/235 [00:44<00:00,  5.31it/s, v_num=17, loss/train=0.902, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 3: 100%|██████████| 235/235 [00:44<00:00,  5.31it/s, v_num=17, loss/train=0.902, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 3:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.902, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.902, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   0%|          | 1/235 [00:02<10:00,  0.39it/s, v_num=17, loss/train=0.902, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   0%|          | 1/235 [00:02<10:01,  0.39it/s, v_num=17, loss/train=1.640, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   1%|          | 2/235 [00:02<05:14,  0.74it/s, v_num=17, loss/train=1.640, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   1%|          | 2/235 [00:02<05:14,  0.74it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   1%|▏         | 3/235 [00:02<03:38,  1.06it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   1%|▏         | 3/235 [00:02<03:38,  1.06it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   2%|▏         | 4/235 [00:02<02:50,  1.35it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   2%|▏         | 4/235 [00:02<02:50,  1.35it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   2%|▏         | 5/235 [00:03<02:26,  1.57it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   2%|▏         | 5/235 [00:03<02:26,  1.57it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 6/235 [00:03<02:08,  1.78it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 6/235 [00:03<02:08,  1.78it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=1.620, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▌         | 13/235 [00:04<01:15,  2.92it/s, v_num=17, loss/train=1.620, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▌         | 13/235 [00:04<01:15,  2.92it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▌         | 14/235 [00:04<01:12,  3.05it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   7%|▋         | 16/235 [00:04<01:07,  3.25it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   7%|▋         | 16/235 [00:04<01:07,  3.25it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   8%|▊         | 18/235 [00:05<01:03,  3.42it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   8%|▊         | 18/235 [00:05<01:03,  3.42it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   8%|▊         | 19/235 [00:05<01:01,  3.53it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   8%|▊         | 19/235 [00:05<01:01,  3.53it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▊         | 20/235 [00:05<00:59,  3.62it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▊         | 20/235 [00:05<00:59,  3.62it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▉         | 21/235 [00:05<00:58,  3.67it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▉         | 21/235 [00:05<00:58,  3.67it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▉         | 22/235 [00:05<00:56,  3.74it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   9%|▉         | 22/235 [00:05<00:56,  3.74it/s, v_num=17, loss/train=1.630, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=1.630, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  10%|█         | 24/235 [00:06<00:54,  3.86it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  10%|█         | 24/235 [00:06<00:54,  3.86it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█         | 25/235 [00:06<00:53,  3.94it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█         | 25/235 [00:06<00:53,  3.94it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█         | 26/235 [00:06<00:52,  4.00it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█         | 26/235 [00:06<00:52,  4.00it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█▏        | 27/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  11%|█▏        | 27/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  12%|█▏        | 28/235 [00:06<00:50,  4.08it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  12%|█▏        | 28/235 [00:06<00:50,  4.08it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  12%|█▏        | 29/235 [00:06<00:49,  4.15it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  12%|█▏        | 29/235 [00:06<00:49,  4.15it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  13%|█▎        | 30/235 [00:07<00:48,  4.20it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  13%|█▎        | 30/235 [00:07<00:48,  4.20it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  13%|█▎        | 31/235 [00:07<00:47,  4.26it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  13%|█▎        | 31/235 [00:07<00:47,  4.26it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▎        | 32/235 [00:07<00:47,  4.31it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▎        | 32/235 [00:07<00:47,  4.31it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▍        | 33/235 [00:07<00:46,  4.37it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▍        | 33/235 [00:07<00:46,  4.37it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▍        | 34/235 [00:07<00:45,  4.40it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  14%|█▍        | 34/235 [00:07<00:45,  4.40it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  15%|█▍        | 35/235 [00:07<00:44,  4.46it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  15%|█▍        | 35/235 [00:07<00:44,  4.46it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  15%|█▌        | 36/235 [00:08<00:44,  4.47it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  15%|█▌        | 36/235 [00:08<00:44,  4.47it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  16%|█▌        | 37/235 [00:08<00:44,  4.50it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  16%|█▌        | 37/235 [00:08<00:44,  4.50it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  16%|█▌        | 38/235 [00:08<00:43,  4.52it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  16%|█▌        | 38/235 [00:08<00:43,  4.52it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.650, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 40/235 [00:08<00:42,  4.58it/s, v_num=17, loss/train=1.650, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 40/235 [00:08<00:42,  4.58it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 41/235 [00:08<00:41,  4.62it/s, v_num=17, loss/train=1.580, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  17%|█▋        | 41/235 [00:08<00:41,  4.62it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  18%|█▊        | 42/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  18%|█▊        | 42/235 [00:09<00:41,  4.66it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  18%|█▊        | 43/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  18%|█▊        | 43/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  19%|█▊        | 44/235 [00:09<00:40,  4.68it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  19%|█▊        | 44/235 [00:09<00:40,  4.68it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  19%|█▉        | 45/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  19%|█▉        | 45/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|█▉        | 46/235 [00:09<00:39,  4.73it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|█▉        | 46/235 [00:09<00:39,  4.73it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|██        | 47/235 [00:09<00:39,  4.75it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|██        | 47/235 [00:09<00:39,  4.75it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|██        | 48/235 [00:10<00:39,  4.79it/s, v_num=17, loss/train=1.570, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  20%|██        | 48/235 [00:10<00:39,  4.79it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  21%|██        | 49/235 [00:10<00:38,  4.82it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  21%|██        | 49/235 [00:10<00:38,  4.82it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  21%|██▏       | 50/235 [00:10<00:38,  4.85it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  21%|██▏       | 50/235 [00:10<00:38,  4.85it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  22%|██▏       | 51/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=1.610, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  22%|██▏       | 51/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  22%|██▏       | 52/235 [00:10<00:37,  4.88it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  22%|██▏       | 52/235 [00:10<00:37,  4.88it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 53/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 53/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 54/235 [00:10<00:36,  4.92it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 54/235 [00:10<00:36,  4.92it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 55/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  23%|██▎       | 55/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  24%|██▍       | 56/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  24%|██▍       | 56/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  24%|██▍       | 57/235 [00:11<00:35,  4.98it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  24%|██▍       | 57/235 [00:11<00:35,  4.98it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  25%|██▍       | 58/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  25%|██▍       | 58/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  25%|██▌       | 59/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  25%|██▌       | 59/235 [00:11<00:35,  5.01it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▌       | 60/235 [00:11<00:34,  5.04it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▌       | 60/235 [00:11<00:34,  5.04it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▌       | 61/235 [00:12<00:34,  5.06it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▌       | 61/235 [00:12<00:34,  5.06it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▋       | 62/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  26%|██▋       | 62/235 [00:12<00:33,  5.09it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  27%|██▋       | 63/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.600, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  27%|██▋       | 63/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  27%|██▋       | 64/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  27%|██▋       | 64/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  28%|██▊       | 65/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  28%|██▊       | 65/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  28%|██▊       | 66/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.560, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  28%|██▊       | 66/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▊       | 67/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▊       | 67/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▉       | 69/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  29%|██▉       | 69/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  30%|██▉       | 70/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  30%|██▉       | 70/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  30%|███       | 71/235 [00:13<00:31,  5.21it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  30%|███       | 71/235 [00:13<00:31,  5.21it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███▏      | 74/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  31%|███▏      | 74/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  32%|███▏      | 75/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.590, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  32%|███▏      | 75/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  32%|███▏      | 76/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  32%|███▏      | 76/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  33%|███▎      | 77/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  33%|███▎      | 77/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  33%|███▎      | 78/235 [00:14<00:29,  5.26it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  33%|███▎      | 78/235 [00:14<00:29,  5.26it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▍      | 80/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▍      | 80/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▍      | 81/235 [00:15<00:29,  5.30it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  34%|███▍      | 81/235 [00:15<00:29,  5.30it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  35%|███▍      | 82/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  35%|███▍      | 82/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  35%|███▌      | 83/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=1.550, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  35%|███▌      | 83/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  36%|███▌      | 84/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  36%|███▌      | 84/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  36%|███▌      | 85/235 [00:15<00:27,  5.36it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  36%|███▌      | 85/235 [00:15<00:27,  5.36it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 86/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 86/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 87/235 [00:16<00:27,  5.38it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 87/235 [00:16<00:27,  5.38it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 88/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  37%|███▋      | 88/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  38%|███▊      | 89/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  38%|███▊      | 89/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  38%|███▊      | 90/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  38%|███▊      | 90/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  39%|███▊      | 91/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  39%|███▊      | 91/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  39%|███▉      | 92/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  39%|███▉      | 92/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|███▉      | 93/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=1.520, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|███▉      | 93/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|████      | 94/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|████      | 94/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|████      | 95/235 [00:17<00:25,  5.39it/s, v_num=17, loss/train=1.490, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  40%|████      | 95/235 [00:17<00:25,  5.39it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  41%|████      | 96/235 [00:17<00:25,  5.41it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  41%|████      | 96/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  41%|████▏     | 97/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  41%|████▏     | 97/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  42%|████▏     | 98/235 [00:18<00:25,  5.43it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  42%|████▏     | 98/235 [00:18<00:25,  5.43it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  42%|████▏     | 99/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  42%|████▏     | 99/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 100/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=1.540, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 100/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 101/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 101/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 102/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  43%|████▎     | 102/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  44%|████▍     | 104/235 [00:18<00:23,  5.49it/s, v_num=17, loss/train=1.500, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  44%|████▍     | 104/235 [00:18<00:23,  5.49it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  45%|████▍     | 105/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  45%|████▍     | 105/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  45%|████▌     | 106/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  45%|████▌     | 106/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▌     | 107/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▌     | 107/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▌     | 108/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▌     | 108/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▋     | 109/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  46%|████▋     | 109/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  47%|████▋     | 110/235 [00:19<00:22,  5.52it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  47%|████▋     | 110/235 [00:19<00:22,  5.52it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  47%|████▋     | 111/235 [00:20<00:22,  5.52it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  47%|████▋     | 111/235 [00:20<00:22,  5.52it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  48%|████▊     | 112/235 [00:20<00:22,  5.52it/s, v_num=17, loss/train=1.530, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  48%|████▊     | 112/235 [00:20<00:22,  5.52it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  48%|████▊     | 113/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  48%|████▊     | 113/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▊     | 114/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=1.480, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▊     | 114/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▉     | 115/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▉     | 115/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▉     | 116/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  49%|████▉     | 116/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  50%|████▉     | 117/235 [00:21<00:21,  5.57it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  50%|████▉     | 117/235 [00:21<00:21,  5.57it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████     | 119/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████     | 119/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████     | 120/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=1.510, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████     | 120/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  52%|█████▏    | 122/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  52%|█████▏    | 122/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  52%|█████▏    | 123/235 [00:22<00:20,  5.57it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  52%|█████▏    | 123/235 [00:22<00:20,  5.57it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▍    | 128/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  54%|█████▍    | 128/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  55%|█████▍    | 129/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  55%|█████▍    | 129/235 [00:23<00:18,  5.60it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  55%|█████▌    | 130/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  55%|█████▌    | 130/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  56%|█████▌    | 131/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  56%|█████▌    | 131/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 133/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 133/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 134/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 134/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 135/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  57%|█████▋    | 135/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  58%|█████▊    | 136/235 [00:24<00:17,  5.64it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  58%|█████▊    | 136/235 [00:24<00:17,  5.64it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  58%|█████▊    | 137/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  58%|█████▊    | 137/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  59%|█████▊    | 138/235 [00:24<00:17,  5.66it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  59%|█████▊    | 138/235 [00:24<00:17,  5.66it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  59%|█████▉    | 139/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  59%|█████▉    | 139/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|█████▉    | 140/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|█████▉    | 140/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|██████    | 141/235 [00:24<00:16,  5.66it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|██████    | 141/235 [00:24<00:16,  5.66it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|██████    | 142/235 [00:25<00:16,  5.67it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  60%|██████    | 142/235 [00:25<00:16,  5.67it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  61%|██████    | 143/235 [00:25<00:16,  5.67it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  61%|██████    | 143/235 [00:25<00:16,  5.67it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  61%|██████▏   | 144/235 [00:25<00:16,  5.68it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  61%|██████▏   | 144/235 [00:25<00:16,  5.68it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  62%|██████▏   | 145/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  62%|██████▏   | 145/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  62%|██████▏   | 146/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  62%|██████▏   | 146/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 147/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 147/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 148/235 [00:26<00:15,  5.68it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 148/235 [00:26<00:15,  5.68it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 149/235 [00:26<00:15,  5.69it/s, v_num=17, loss/train=1.470, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  63%|██████▎   | 149/235 [00:26<00:15,  5.69it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  64%|██████▍   | 150/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  64%|██████▍   | 150/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  64%|██████▍   | 151/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  64%|██████▍   | 151/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  65%|██████▍   | 152/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  65%|██████▍   | 152/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  65%|██████▌   | 153/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  65%|██████▌   | 153/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▌   | 154/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▌   | 154/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▌   | 155/235 [00:27<00:14,  5.71it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▌   | 155/235 [00:27<00:14,  5.71it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▋   | 156/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  66%|██████▋   | 156/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  67%|██████▋   | 157/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  67%|██████▋   | 157/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  67%|██████▋   | 158/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  67%|██████▋   | 158/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  68%|██████▊   | 159/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  68%|██████▊   | 159/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  68%|██████▊   | 160/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  68%|██████▊   | 160/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.260, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▊   | 161/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.260, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▊   | 161/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▉   | 162/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▉   | 162/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▉   | 163/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.400, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  69%|██████▉   | 163/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  70%|██████▉   | 164/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  70%|██████▉   | 164/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  70%|███████   | 165/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  70%|███████   | 165/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████   | 166/235 [00:28<00:11,  5.76it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████   | 166/235 [00:28<00:11,  5.76it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████▏  | 168/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  71%|███████▏  | 168/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  72%|███████▏  | 169/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  72%|███████▏  | 169/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  72%|███████▏  | 170/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  72%|███████▏  | 170/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  73%|███████▎  | 171/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  73%|███████▎  | 171/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  73%|███████▎  | 172/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  73%|███████▎  | 172/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▎  | 173/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▎  | 173/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▍  | 174/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▍  | 174/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.260, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▍  | 175/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.260, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  74%|███████▍  | 175/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  75%|███████▍  | 176/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  75%|███████▍  | 176/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  75%|███████▌  | 177/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  75%|███████▌  | 177/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  76%|███████▌  | 178/235 [00:30<00:09,  5.80it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  76%|███████▌  | 178/235 [00:30<00:09,  5.80it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  76%|███████▌  | 179/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  76%|███████▌  | 179/235 [00:30<00:09,  5.81it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 181/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 181/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  78%|███████▊  | 183/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.390, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  78%|███████▊  | 183/235 [00:31<00:08,  5.81it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  78%|███████▊  | 184/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  78%|███████▊  | 184/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  79%|███████▉  | 186/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  79%|███████▉  | 186/235 [00:31<00:08,  5.83it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|███████▉  | 187/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|███████▉  | 187/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|████████  | 188/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=1.430, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|████████  | 188/235 [00:32<00:08,  5.83it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|████████  | 189/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  80%|████████  | 189/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  81%|████████  | 190/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  81%|████████  | 190/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  81%|████████▏ | 191/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  81%|████████▏ | 191/235 [00:32<00:07,  5.83it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  82%|████████▏ | 192/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  82%|████████▏ | 192/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  82%|████████▏ | 193/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.450, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  82%|████████▏ | 193/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 194/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 194/235 [00:33<00:07,  5.85it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 195/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 195/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 196/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.420, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  83%|████████▎ | 196/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  84%|████████▍ | 197/235 [00:33<00:06,  5.84it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  84%|████████▍ | 197/235 [00:33<00:06,  5.84it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  84%|████████▍ | 198/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  84%|████████▍ | 198/235 [00:33<00:06,  5.85it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  85%|████████▌ | 200/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  85%|████████▌ | 200/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▌ | 201/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.410, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▌ | 201/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▋ | 203/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  86%|████████▋ | 203/235 [00:34<00:05,  5.86it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  87%|████████▋ | 204/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.440, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  87%|████████▋ | 204/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  87%|████████▋ | 205/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.460, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  87%|████████▋ | 205/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  88%|████████▊ | 206/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  88%|████████▊ | 206/235 [00:35<00:04,  5.87it/s, v_num=17, loss/train=1.270, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.270, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▉ | 209/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▉ | 209/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▉ | 210/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  89%|████████▉ | 210/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  90%|████████▉ | 211/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  90%|████████▉ | 211/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  90%|█████████ | 212/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  90%|█████████ | 212/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████ | 213/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████ | 214/235 [00:36<00:03,  5.89it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████▏| 215/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  91%|█████████▏| 215/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  92%|█████████▏| 216/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  92%|█████████▏| 216/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  92%|█████████▏| 217/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=1.360, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  92%|█████████▏| 217/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  93%|█████████▎| 219/235 [00:36<00:02,  5.94it/s, v_num=17, loss/train=1.380, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  93%|█████████▎| 219/235 [00:36<00:02,  5.94it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▎| 220/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=1.300, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▎| 220/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▍| 221/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▍| 221/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▍| 222/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  94%|█████████▍| 222/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  95%|█████████▍| 223/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=1.330, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  95%|█████████▍| 223/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=1.350, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  96%|█████████▌| 225/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  96%|█████████▌| 225/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=1.270, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  96%|█████████▌| 226/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=1.270, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  96%|█████████▌| 226/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 227/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=1.310, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 227/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 228/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=1.370, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 228/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=1.210, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 229/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=1.210, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  97%|█████████▋| 229/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  98%|█████████▊| 230/235 [00:37<00:00,  6.07it/s, v_num=17, loss/train=1.280, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  98%|█████████▊| 230/235 [00:37<00:00,  6.07it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  98%|█████████▊| 231/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=1.340, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  98%|█████████▊| 231/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=1.200, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  99%|█████████▊| 232/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=1.200, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  99%|█████████▊| 232/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  99%|█████████▉| 233/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=1.320, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:  99%|█████████▉| 233/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4: 100%|█████████▉| 234/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=1.290, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4: 100%|█████████▉| 234/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=1.230, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4: 100%|██████████| 235/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=1.230, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4: 100%|██████████| 235/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=0.659, loss/val=1.910, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]

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Epoch 4: 100%|██████████| 235/235 [00:43<00:00,  5.43it/s, v_num=17, loss/train=0.659, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4: 100%|██████████| 235/235 [00:43<00:00,  5.43it/s, v_num=17, loss/train=0.659, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 4:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.659, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.659, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   0%|          | 1/235 [00:02<10:04,  0.39it/s, v_num=17, loss/train=0.659, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   0%|          | 1/235 [00:02<10:05,  0.39it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   1%|          | 2/235 [00:02<05:15,  0.74it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   1%|          | 2/235 [00:02<05:15,  0.74it/s, v_num=17, loss/train=1.400, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   1%|▏         | 3/235 [00:02<03:41,  1.05it/s, v_num=17, loss/train=1.400, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   1%|▏         | 3/235 [00:02<03:41,  1.05it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   2%|▏         | 4/235 [00:03<02:54,  1.32it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   2%|▏         | 4/235 [00:03<02:54,  1.32it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   2%|▏         | 5/235 [00:03<02:24,  1.59it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   2%|▏         | 5/235 [00:03<02:24,  1.59it/s, v_num=17, loss/train=1.330, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 6/235 [00:03<02:06,  1.82it/s, v_num=17, loss/train=1.330, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 6/235 [00:03<02:06,  1.82it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 8/235 [00:03<01:42,  2.21it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   3%|▎         | 8/235 [00:03<01:42,  2.21it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   4%|▍         | 9/235 [00:03<01:34,  2.40it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   4%|▍         | 9/235 [00:03<01:34,  2.40it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   5%|▍         | 11/235 [00:04<01:23,  2.67it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   5%|▍         | 11/235 [00:04<01:23,  2.67it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   5%|▌         | 12/235 [00:04<01:19,  2.82it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   5%|▌         | 12/235 [00:04<01:19,  2.82it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▌         | 13/235 [00:04<01:14,  2.97it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▌         | 13/235 [00:04<01:14,  2.97it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▌         | 14/235 [00:04<01:12,  3.06it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▌         | 14/235 [00:04<01:12,  3.06it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▋         | 15/235 [00:04<01:09,  3.19it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   6%|▋         | 15/235 [00:04<01:09,  3.19it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   7%|▋         | 16/235 [00:04<01:06,  3.31it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   7%|▋         | 16/235 [00:04<01:06,  3.31it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   7%|▋         | 17/235 [00:04<01:03,  3.41it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   7%|▋         | 17/235 [00:04<01:03,  3.41it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   8%|▊         | 18/235 [00:05<01:01,  3.52it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   8%|▊         | 18/235 [00:05<01:01,  3.52it/s, v_num=17, loss/train=1.380, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   8%|▊         | 19/235 [00:05<01:00,  3.58it/s, v_num=17, loss/train=1.380, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   8%|▊         | 19/235 [00:05<01:00,  3.58it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▊         | 20/235 [00:05<00:59,  3.63it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▊         | 20/235 [00:05<00:59,  3.63it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▉         | 21/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▉         | 21/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▉         | 22/235 [00:05<00:55,  3.82it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:   9%|▉         | 22/235 [00:05<00:55,  3.82it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  10%|▉         | 23/235 [00:05<00:54,  3.86it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  10%|▉         | 23/235 [00:05<00:54,  3.85it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  10%|█         | 24/235 [00:06<00:53,  3.92it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  10%|█         | 24/235 [00:06<00:53,  3.92it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█         | 25/235 [00:06<00:52,  3.98it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█         | 25/235 [00:06<00:52,  3.98it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█         | 26/235 [00:06<00:51,  4.03it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█         | 26/235 [00:06<00:51,  4.03it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█▏        | 27/235 [00:06<00:50,  4.09it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  11%|█▏        | 27/235 [00:06<00:50,  4.09it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  12%|█▏        | 28/235 [00:06<00:49,  4.16it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  12%|█▏        | 28/235 [00:06<00:49,  4.16it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  12%|█▏        | 29/235 [00:06<00:49,  4.20it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  12%|█▏        | 29/235 [00:06<00:49,  4.20it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  13%|█▎        | 30/235 [00:07<00:48,  4.26it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  13%|█▎        | 30/235 [00:07<00:48,  4.26it/s, v_num=17, loss/train=1.330, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  13%|█▎        | 31/235 [00:07<00:47,  4.30it/s, v_num=17, loss/train=1.330, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  13%|█▎        | 31/235 [00:07<00:47,  4.30it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▎        | 32/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▎        | 32/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▍        | 33/235 [00:07<00:46,  4.39it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▍        | 33/235 [00:07<00:46,  4.39it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▍        | 34/235 [00:07<00:45,  4.45it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  14%|█▍        | 34/235 [00:07<00:45,  4.45it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  15%|█▍        | 35/235 [00:07<00:44,  4.48it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  15%|█▍        | 35/235 [00:07<00:44,  4.48it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  15%|█▌        | 36/235 [00:07<00:44,  4.51it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  15%|█▌        | 36/235 [00:07<00:44,  4.50it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  16%|█▌        | 37/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  16%|█▌        | 37/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  16%|█▌        | 38/235 [00:08<00:43,  4.58it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  16%|█▌        | 38/235 [00:08<00:43,  4.58it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 39/235 [00:08<00:42,  4.61it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 39/235 [00:08<00:42,  4.61it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 40/235 [00:08<00:42,  4.63it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 40/235 [00:08<00:42,  4.63it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 41/235 [00:08<00:41,  4.66it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  17%|█▋        | 41/235 [00:08<00:41,  4.66it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  18%|█▊        | 42/235 [00:08<00:41,  4.68it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  18%|█▊        | 42/235 [00:08<00:41,  4.68it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  18%|█▊        | 43/235 [00:09<00:40,  4.72it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  18%|█▊        | 43/235 [00:09<00:40,  4.72it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  19%|█▊        | 44/235 [00:09<00:40,  4.74it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  19%|█▊        | 44/235 [00:09<00:40,  4.74it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  19%|█▉        | 45/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  19%|█▉        | 45/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|█▉        | 46/235 [00:09<00:39,  4.79it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|█▉        | 46/235 [00:09<00:39,  4.79it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|██        | 47/235 [00:09<00:39,  4.81it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|██        | 47/235 [00:09<00:39,  4.81it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|██        | 48/235 [00:09<00:38,  4.84it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  20%|██        | 48/235 [00:09<00:38,  4.84it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  21%|██        | 49/235 [00:10<00:38,  4.86it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  21%|██        | 49/235 [00:10<00:38,  4.86it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  21%|██▏       | 50/235 [00:10<00:37,  4.90it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  21%|██▏       | 50/235 [00:10<00:37,  4.90it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  22%|██▏       | 51/235 [00:10<00:37,  4.93it/s, v_num=17, loss/train=1.310, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  22%|██▏       | 51/235 [00:10<00:37,  4.93it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  22%|██▏       | 52/235 [00:10<00:37,  4.92it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  22%|██▏       | 52/235 [00:10<00:37,  4.92it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 53/235 [00:10<00:36,  4.94it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 53/235 [00:10<00:36,  4.94it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 54/235 [00:10<00:36,  4.97it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 54/235 [00:10<00:36,  4.97it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 55/235 [00:11<00:36,  5.00it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  23%|██▎       | 55/235 [00:11<00:36,  5.00it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  24%|██▍       | 56/235 [00:11<00:35,  5.03it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  24%|██▍       | 56/235 [00:11<00:35,  5.03it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  24%|██▍       | 57/235 [00:11<00:35,  5.04it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  24%|██▍       | 57/235 [00:11<00:35,  5.04it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  25%|██▍       | 58/235 [00:11<00:34,  5.06it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  25%|██▍       | 58/235 [00:11<00:34,  5.06it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  25%|██▌       | 59/235 [00:11<00:34,  5.05it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  25%|██▌       | 59/235 [00:11<00:34,  5.05it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▌       | 60/235 [00:11<00:34,  5.08it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▌       | 60/235 [00:11<00:34,  5.08it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▌       | 61/235 [00:11<00:34,  5.11it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▌       | 61/235 [00:11<00:34,  5.11it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▋       | 62/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  26%|██▋       | 62/235 [00:12<00:33,  5.12it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  27%|██▋       | 63/235 [00:12<00:33,  5.14it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  27%|██▋       | 63/235 [00:12<00:33,  5.14it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  27%|██▋       | 64/235 [00:12<00:33,  5.16it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  27%|██▋       | 64/235 [00:12<00:33,  5.16it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  28%|██▊       | 65/235 [00:12<00:32,  5.18it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  28%|██▊       | 65/235 [00:12<00:32,  5.18it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  28%|██▊       | 66/235 [00:12<00:32,  5.19it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  28%|██▊       | 66/235 [00:12<00:32,  5.19it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▊       | 67/235 [00:12<00:32,  5.20it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▊       | 67/235 [00:12<00:32,  5.20it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▉       | 68/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▉       | 68/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▉       | 69/235 [00:13<00:31,  5.23it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  29%|██▉       | 69/235 [00:13<00:31,  5.23it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  30%|██▉       | 70/235 [00:13<00:31,  5.25it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  30%|██▉       | 70/235 [00:13<00:31,  5.25it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  30%|███       | 71/235 [00:13<00:31,  5.28it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  30%|███       | 71/235 [00:13<00:31,  5.28it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███       | 72/235 [00:13<00:30,  5.27it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███       | 72/235 [00:13<00:30,  5.27it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███       | 73/235 [00:13<00:30,  5.28it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███       | 73/235 [00:13<00:30,  5.28it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███▏      | 74/235 [00:13<00:30,  5.30it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  31%|███▏      | 74/235 [00:13<00:30,  5.30it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  32%|███▏      | 75/235 [00:14<00:30,  5.33it/s, v_num=17, loss/train=1.320, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  32%|███▏      | 75/235 [00:14<00:30,  5.33it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  32%|███▏      | 76/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  32%|███▏      | 76/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  33%|███▎      | 77/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  33%|███▎      | 77/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  33%|███▎      | 78/235 [00:14<00:29,  5.34it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  33%|███▎      | 78/235 [00:14<00:29,  5.34it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▎      | 79/235 [00:14<00:29,  5.36it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▎      | 79/235 [00:14<00:29,  5.36it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▍      | 80/235 [00:14<00:28,  5.38it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▍      | 80/235 [00:14<00:28,  5.38it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▍      | 81/235 [00:15<00:28,  5.38it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  34%|███▍      | 81/235 [00:15<00:28,  5.38it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  35%|███▍      | 82/235 [00:15<00:28,  5.38it/s, v_num=17, loss/train=1.270, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  35%|███▍      | 82/235 [00:15<00:28,  5.38it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  35%|███▌      | 83/235 [00:15<00:28,  5.40it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  35%|███▌      | 83/235 [00:15<00:28,  5.40it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  36%|███▌      | 84/235 [00:15<00:27,  5.41it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  36%|███▌      | 84/235 [00:15<00:27,  5.41it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  36%|███▌      | 85/235 [00:15<00:27,  5.42it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  36%|███▌      | 85/235 [00:15<00:27,  5.42it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 86/235 [00:15<00:27,  5.43it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 86/235 [00:15<00:27,  5.43it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 87/235 [00:15<00:27,  5.45it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 87/235 [00:15<00:27,  5.45it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 88/235 [00:16<00:26,  5.46it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  37%|███▋      | 88/235 [00:16<00:26,  5.46it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  38%|███▊      | 89/235 [00:16<00:26,  5.47it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  38%|███▊      | 89/235 [00:16<00:26,  5.47it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  38%|███▊      | 90/235 [00:16<00:26,  5.48it/s, v_num=17, loss/train=1.290, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  38%|███▊      | 90/235 [00:16<00:26,  5.48it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  39%|███▊      | 91/235 [00:16<00:26,  5.49it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  39%|███▊      | 91/235 [00:16<00:26,  5.49it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  39%|███▉      | 92/235 [00:16<00:26,  5.49it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  39%|███▉      | 92/235 [00:16<00:26,  5.49it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|███▉      | 93/235 [00:16<00:25,  5.49it/s, v_num=17, loss/train=1.300, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|███▉      | 93/235 [00:16<00:25,  5.49it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|████      | 94/235 [00:17<00:25,  5.50it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|████      | 94/235 [00:17<00:25,  5.50it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|████      | 95/235 [00:17<00:25,  5.52it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  40%|████      | 95/235 [00:17<00:25,  5.52it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  41%|████      | 96/235 [00:17<00:25,  5.52it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  41%|████      | 96/235 [00:17<00:25,  5.52it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  41%|████▏     | 97/235 [00:17<00:24,  5.53it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  41%|████▏     | 97/235 [00:17<00:24,  5.53it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  42%|████▏     | 98/235 [00:17<00:24,  5.53it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  42%|████▏     | 98/235 [00:17<00:24,  5.53it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  42%|████▏     | 99/235 [00:17<00:24,  5.54it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  42%|████▏     | 99/235 [00:17<00:24,  5.54it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 100/235 [00:18<00:24,  5.55it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 100/235 [00:18<00:24,  5.55it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 101/235 [00:18<00:24,  5.56it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 101/235 [00:18<00:24,  5.56it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 102/235 [00:18<00:23,  5.57it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  43%|████▎     | 102/235 [00:18<00:23,  5.57it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  44%|████▍     | 103/235 [00:18<00:23,  5.57it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  44%|████▍     | 103/235 [00:18<00:23,  5.57it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  44%|████▍     | 104/235 [00:18<00:23,  5.59it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  44%|████▍     | 104/235 [00:18<00:23,  5.59it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  45%|████▍     | 105/235 [00:18<00:23,  5.58it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  45%|████▍     | 105/235 [00:18<00:23,  5.58it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  45%|████▌     | 106/235 [00:18<00:23,  5.59it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  45%|████▌     | 106/235 [00:18<00:23,  5.59it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▌     | 107/235 [00:19<00:22,  5.60it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▌     | 107/235 [00:19<00:22,  5.60it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▌     | 108/235 [00:19<00:22,  5.61it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▌     | 108/235 [00:19<00:22,  5.61it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▋     | 109/235 [00:19<00:22,  5.60it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  46%|████▋     | 109/235 [00:19<00:22,  5.60it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  47%|████▋     | 110/235 [00:19<00:22,  5.61it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  47%|████▋     | 110/235 [00:19<00:22,  5.61it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  47%|████▋     | 111/235 [00:19<00:22,  5.62it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  47%|████▋     | 111/235 [00:19<00:22,  5.62it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  48%|████▊     | 112/235 [00:19<00:21,  5.63it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  48%|████▊     | 112/235 [00:19<00:21,  5.63it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  48%|████▊     | 113/235 [00:20<00:21,  5.62it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  48%|████▊     | 113/235 [00:20<00:21,  5.62it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▊     | 114/235 [00:20<00:21,  5.63it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▊     | 114/235 [00:20<00:21,  5.63it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▉     | 115/235 [00:20<00:21,  5.63it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▉     | 115/235 [00:20<00:21,  5.63it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▉     | 116/235 [00:20<00:21,  5.64it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  49%|████▉     | 116/235 [00:20<00:21,  5.64it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  50%|████▉     | 117/235 [00:20<00:20,  5.65it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  50%|████▉     | 117/235 [00:20<00:20,  5.65it/s, v_num=17, loss/train=1.090, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  50%|█████     | 118/235 [00:20<00:20,  5.66it/s, v_num=17, loss/train=1.090, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  50%|█████     | 118/235 [00:20<00:20,  5.66it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████     | 119/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████     | 119/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████     | 120/235 [00:21<00:20,  5.66it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████     | 120/235 [00:21<00:20,  5.66it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████▏    | 121/235 [00:21<00:20,  5.67it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  51%|█████▏    | 121/235 [00:21<00:20,  5.67it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  52%|█████▏    | 122/235 [00:21<00:19,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  52%|█████▏    | 122/235 [00:21<00:19,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  52%|█████▏    | 123/235 [00:21<00:19,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  52%|█████▏    | 123/235 [00:21<00:19,  5.68it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  53%|█████▎    | 124/235 [00:21<00:19,  5.69it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  53%|█████▎    | 124/235 [00:21<00:19,  5.69it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  53%|█████▎    | 125/235 [00:21<00:19,  5.70it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  53%|█████▎    | 125/235 [00:21<00:19,  5.70it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▎    | 126/235 [00:22<00:19,  5.69it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▎    | 126/235 [00:22<00:19,  5.69it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▍    | 127/235 [00:22<00:19,  5.67it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▍    | 127/235 [00:22<00:19,  5.67it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▍    | 128/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  54%|█████▍    | 128/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  55%|█████▍    | 129/235 [00:22<00:18,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  55%|█████▍    | 129/235 [00:22<00:18,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  55%|█████▌    | 130/235 [00:22<00:18,  5.69it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  55%|█████▌    | 130/235 [00:22<00:18,  5.69it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  56%|█████▌    | 131/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  56%|█████▌    | 131/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  56%|█████▌    | 132/235 [00:23<00:18,  5.69it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  56%|█████▌    | 132/235 [00:23<00:18,  5.69it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 133/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 133/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 134/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 134/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 135/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  57%|█████▋    | 135/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  58%|█████▊    | 136/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  58%|█████▊    | 136/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  58%|█████▊    | 137/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  58%|█████▊    | 137/235 [00:23<00:17,  5.71it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  59%|█████▊    | 138/235 [00:24<00:16,  5.72it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  59%|█████▊    | 138/235 [00:24<00:16,  5.72it/s, v_num=17, loss/train=1.350, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  59%|█████▉    | 139/235 [00:24<00:16,  5.73it/s, v_num=17, loss/train=1.350, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  59%|█████▉    | 139/235 [00:24<00:16,  5.73it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|█████▉    | 140/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|█████▉    | 140/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|██████    | 141/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|██████    | 141/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|██████    | 142/235 [00:24<00:16,  5.75it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  60%|██████    | 142/235 [00:24<00:16,  5.75it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  61%|██████    | 143/235 [00:24<00:15,  5.76it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  61%|██████    | 143/235 [00:24<00:15,  5.76it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  61%|██████▏   | 144/235 [00:25<00:15,  5.73it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  61%|██████▏   | 144/235 [00:25<00:15,  5.73it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  62%|██████▏   | 145/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  62%|██████▏   | 145/235 [00:25<00:15,  5.68it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  62%|██████▏   | 146/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  62%|██████▏   | 146/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 147/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 147/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 148/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 148/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 149/235 [00:26<00:15,  5.71it/s, v_num=17, loss/train=1.280, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  63%|██████▎   | 149/235 [00:26<00:15,  5.71it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  64%|██████▍   | 150/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  64%|██████▍   | 150/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  64%|██████▍   | 151/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.240, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  64%|██████▍   | 151/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  65%|██████▍   | 152/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  65%|██████▍   | 152/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  65%|██████▌   | 153/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  65%|██████▌   | 153/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▌   | 154/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▌   | 154/235 [00:26<00:14,  5.72it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▌   | 155/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▌   | 155/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▋   | 156/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  66%|██████▋   | 156/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  67%|██████▋   | 157/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  67%|██████▋   | 157/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  68%|██████▊   | 159/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  68%|██████▊   | 159/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  68%|██████▊   | 160/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  68%|██████▊   | 160/235 [00:27<00:13,  5.74it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▊   | 161/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▊   | 161/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.060, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▉   | 162/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.060, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▉   | 162/235 [00:28<00:12,  5.76it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▉   | 163/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  69%|██████▉   | 163/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  70%|██████▉   | 164/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  70%|██████▉   | 164/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  70%|███████   | 165/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  70%|███████   | 165/235 [00:28<00:12,  5.75it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████   | 166/235 [00:28<00:11,  5.76it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████   | 166/235 [00:28<00:11,  5.76it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████   | 167/235 [00:28<00:11,  5.77it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████▏  | 168/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  71%|███████▏  | 168/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  72%|███████▏  | 169/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  72%|███████▏  | 169/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  72%|███████▏  | 170/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  72%|███████▏  | 170/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  73%|███████▎  | 171/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  73%|███████▎  | 171/235 [00:29<00:11,  5.78it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▎  | 173/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▎  | 173/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▍  | 174/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.230, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▍  | 174/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▍  | 175/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  74%|███████▍  | 175/235 [00:30<00:10,  5.79it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  75%|███████▍  | 176/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  75%|███████▍  | 176/235 [00:30<00:10,  5.80it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  75%|███████▌  | 177/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  75%|███████▌  | 177/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  76%|███████▌  | 178/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  76%|███████▌  | 178/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  76%|███████▌  | 179/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  76%|███████▌  | 179/235 [00:30<00:09,  5.79it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 180/235 [00:31<00:09,  5.80it/s, v_num=17, loss/train=1.050, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 181/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.050, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 181/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  77%|███████▋  | 182/235 [00:31<00:09,  5.81it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  78%|███████▊  | 183/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  78%|███████▊  | 183/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  78%|███████▊  | 184/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  78%|███████▊  | 184/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  79%|███████▊  | 185/235 [00:31<00:08,  5.82it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  79%|███████▉  | 186/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  79%|███████▉  | 186/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|███████▉  | 187/235 [00:32<00:08,  5.80it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|███████▉  | 187/235 [00:32<00:08,  5.80it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|████████  | 188/235 [00:32<00:08,  5.81it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|████████  | 188/235 [00:32<00:08,  5.81it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|████████  | 189/235 [00:32<00:07,  5.81it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  80%|████████  | 189/235 [00:32<00:07,  5.81it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  81%|████████  | 190/235 [00:32<00:07,  5.81it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  81%|████████  | 190/235 [00:32<00:07,  5.81it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  81%|████████▏ | 191/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  81%|████████▏ | 191/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  82%|████████▏ | 192/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  82%|████████▏ | 192/235 [00:32<00:07,  5.82it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  82%|████████▏ | 193/235 [00:33<00:07,  5.83it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  82%|████████▏ | 193/235 [00:33<00:07,  5.83it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 194/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 194/235 [00:33<00:07,  5.84it/s, v_num=17, loss/train=1.090, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 195/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.090, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 195/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 196/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  83%|████████▎ | 196/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  84%|████████▍ | 197/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.110, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  84%|████████▍ | 197/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  84%|████████▍ | 198/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  84%|████████▍ | 198/235 [00:34<00:06,  5.82it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  85%|████████▍ | 199/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=1.100, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  85%|████████▍ | 199/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  85%|████████▌ | 200/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  85%|████████▌ | 200/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▌ | 201/235 [00:34<00:05,  5.82it/s, v_num=17, loss/train=1.190, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▌ | 201/235 [00:34<00:05,  5.82it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▌ | 202/235 [00:34<00:05,  5.82it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▌ | 202/235 [00:34<00:05,  5.82it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▋ | 203/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  86%|████████▋ | 203/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  87%|████████▋ | 204/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  87%|████████▋ | 204/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  87%|████████▋ | 205/235 [00:35<00:05,  5.83it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  87%|████████▋ | 205/235 [00:35<00:05,  5.83it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  88%|████████▊ | 207/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  88%|████████▊ | 207/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▊ | 208/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▊ | 208/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▉ | 210/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  89%|████████▉ | 210/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  90%|████████▉ | 211/235 [00:36<00:04,  5.84it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  90%|████████▉ | 211/235 [00:36<00:04,  5.84it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████ | 213/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████ | 213/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████ | 214/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████ | 214/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████▏| 215/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  91%|█████████▏| 215/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  92%|█████████▏| 216/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  92%|█████████▏| 216/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  92%|█████████▏| 217/235 [00:36<00:03,  5.87it/s, v_num=17, loss/train=1.250, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  92%|█████████▏| 217/235 [00:36<00:03,  5.87it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▍| 221/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=1.160, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▍| 221/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▍| 222/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  94%|█████████▍| 222/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  95%|█████████▍| 223/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  95%|█████████▍| 223/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  95%|█████████▌| 224/235 [00:37<00:01,  5.95it/s, v_num=17, loss/train=1.140, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  95%|█████████▌| 224/235 [00:37<00:01,  5.95it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  96%|█████████▌| 225/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=1.260, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  96%|█████████▌| 225/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=1.220, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 228/235 [00:38<00:01,  6.00it/s, v_num=17, loss/train=1.150, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 228/235 [00:38<00:01,  6.00it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 229/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  97%|█████████▋| 229/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  98%|█████████▊| 230/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=1.200, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  98%|█████████▊| 230/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  98%|█████████▊| 231/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=1.180, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  98%|█████████▊| 231/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  99%|█████████▊| 232/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=1.210, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  99%|█████████▊| 232/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  99%|█████████▉| 233/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=1.170, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5:  99%|█████████▉| 233/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5: 100%|█████████▉| 234/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=1.120, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5: 100%|█████████▉| 234/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5: 100%|██████████| 235/235 [00:38<00:00,  6.08it/s, v_num=17, loss/train=1.130, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]
Epoch 5: 100%|██████████| 235/235 [00:38<00:00,  6.08it/s, v_num=17, loss/train=0.634, loss/val=1.670, alignment/val=0.141, uniformity/val=-3.16, contrastive_acc/val=0.481]

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Epoch 5: 100%|██████████| 235/235 [00:44<00:00,  5.28it/s, v_num=17, loss/train=0.634, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 5: 100%|██████████| 235/235 [00:44<00:00,  5.28it/s, v_num=17, loss/train=0.634, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 5:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.634, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.634, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   0%|          | 1/235 [00:02<10:09,  0.38it/s, v_num=17, loss/train=0.634, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   0%|          | 1/235 [00:02<10:09,  0.38it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   1%|          | 2/235 [00:02<05:19,  0.73it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   1%|          | 2/235 [00:02<05:19,  0.73it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=1.240, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=1.240, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   2%|▏         | 5/235 [00:03<02:26,  1.57it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   2%|▏         | 5/235 [00:03<02:26,  1.57it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 6/235 [00:03<02:06,  1.81it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 6/235 [00:03<02:06,  1.81it/s, v_num=17, loss/train=1.180, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 7/235 [00:03<01:52,  2.02it/s, v_num=17, loss/train=1.180, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 7/235 [00:03<01:52,  2.02it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 8/235 [00:03<01:42,  2.22it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   3%|▎         | 8/235 [00:03<01:42,  2.22it/s, v_num=17, loss/train=1.210, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   4%|▍         | 9/235 [00:03<01:36,  2.35it/s, v_num=17, loss/train=1.210, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   4%|▍         | 9/235 [00:03<01:36,  2.35it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   4%|▍         | 10/235 [00:03<01:29,  2.52it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   4%|▍         | 10/235 [00:03<01:29,  2.52it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   5%|▍         | 11/235 [00:04<01:26,  2.60it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   5%|▍         | 11/235 [00:04<01:26,  2.60it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   5%|▌         | 12/235 [00:04<01:21,  2.73it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   5%|▌         | 12/235 [00:04<01:21,  2.73it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▌         | 13/235 [00:04<01:17,  2.87it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▌         | 13/235 [00:04<01:17,  2.87it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▌         | 14/235 [00:04<01:14,  2.98it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▌         | 14/235 [00:04<01:14,  2.98it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▋         | 15/235 [00:04<01:11,  3.09it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   6%|▋         | 15/235 [00:04<01:11,  3.09it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   7%|▋         | 16/235 [00:05<01:08,  3.18it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   7%|▋         | 16/235 [00:05<01:08,  3.18it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   7%|▋         | 17/235 [00:05<01:06,  3.28it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   7%|▋         | 17/235 [00:05<01:06,  3.28it/s, v_num=17, loss/train=1.180, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   8%|▊         | 18/235 [00:05<01:03,  3.39it/s, v_num=17, loss/train=1.180, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   8%|▊         | 18/235 [00:05<01:03,  3.39it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   8%|▊         | 19/235 [00:05<01:01,  3.50it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   8%|▊         | 19/235 [00:05<01:01,  3.50it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▊         | 20/235 [00:05<00:59,  3.60it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▊         | 20/235 [00:05<00:59,  3.60it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▉         | 22/235 [00:05<00:57,  3.69it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   9%|▉         | 22/235 [00:05<00:57,  3.69it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  10%|▉         | 23/235 [00:06<00:56,  3.77it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  10%|▉         | 23/235 [00:06<00:56,  3.77it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  10%|█         | 24/235 [00:06<00:54,  3.86it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  10%|█         | 24/235 [00:06<00:54,  3.86it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█         | 25/235 [00:06<00:53,  3.90it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█         | 25/235 [00:06<00:53,  3.90it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  12%|█▏        | 28/235 [00:06<00:50,  4.08it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  12%|█▏        | 28/235 [00:06<00:50,  4.08it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  12%|█▏        | 29/235 [00:07<00:49,  4.13it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  12%|█▏        | 29/235 [00:07<00:49,  4.13it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  13%|█▎        | 30/235 [00:07<00:49,  4.17it/s, v_num=17, loss/train=1.150, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  13%|█▎        | 30/235 [00:07<00:49,  4.17it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  13%|█▎        | 31/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  13%|█▎        | 31/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▎        | 32/235 [00:07<00:47,  4.27it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▎        | 32/235 [00:07<00:47,  4.27it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▍        | 33/235 [00:07<00:46,  4.30it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▍        | 33/235 [00:07<00:46,  4.30it/s, v_num=17, loss/train=1.190, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▍        | 34/235 [00:07<00:46,  4.36it/s, v_num=17, loss/train=1.190, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  14%|█▍        | 34/235 [00:07<00:46,  4.36it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  15%|█▍        | 35/235 [00:07<00:45,  4.39it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  15%|█▍        | 35/235 [00:07<00:45,  4.39it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  15%|█▌        | 36/235 [00:08<00:44,  4.43it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  15%|█▌        | 36/235 [00:08<00:44,  4.43it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  16%|█▌        | 37/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  16%|█▌        | 37/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  16%|█▌        | 38/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  16%|█▌        | 38/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 40/235 [00:08<00:42,  4.57it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 40/235 [00:08<00:42,  4.57it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 41/235 [00:08<00:42,  4.61it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  17%|█▋        | 41/235 [00:08<00:42,  4.61it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  18%|█▊        | 42/235 [00:09<00:41,  4.65it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  18%|█▊        | 42/235 [00:09<00:41,  4.65it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  18%|█▊        | 43/235 [00:09<00:41,  4.68it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  18%|█▊        | 43/235 [00:09<00:41,  4.68it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  19%|█▊        | 44/235 [00:09<00:40,  4.72it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  19%|█▊        | 44/235 [00:09<00:40,  4.72it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  19%|█▉        | 45/235 [00:09<00:40,  4.73it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  19%|█▉        | 45/235 [00:09<00:40,  4.73it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|█▉        | 46/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|█▉        | 46/235 [00:09<00:39,  4.76it/s, v_num=17, loss/train=1.000, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|██        | 47/235 [00:09<00:39,  4.78it/s, v_num=17, loss/train=1.000, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|██        | 47/235 [00:09<00:39,  4.78it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|██        | 48/235 [00:09<00:38,  4.81it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  20%|██        | 48/235 [00:09<00:38,  4.81it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  21%|██        | 49/235 [00:10<00:38,  4.82it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  21%|██        | 49/235 [00:10<00:38,  4.82it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  21%|██▏       | 50/235 [00:10<00:38,  4.86it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  21%|██▏       | 50/235 [00:10<00:38,  4.86it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  22%|██▏       | 51/235 [00:10<00:37,  4.88it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  22%|██▏       | 51/235 [00:10<00:37,  4.88it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  22%|██▏       | 52/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  22%|██▏       | 52/235 [00:10<00:37,  4.89it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 53/235 [00:10<00:36,  4.93it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 53/235 [00:10<00:36,  4.93it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 54/235 [00:10<00:36,  4.94it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 54/235 [00:10<00:36,  4.94it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 55/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  23%|██▎       | 55/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  24%|██▍       | 56/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  24%|██▍       | 56/235 [00:11<00:36,  4.97it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  24%|██▍       | 57/235 [00:11<00:35,  5.00it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  24%|██▍       | 57/235 [00:11<00:35,  5.00it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  25%|██▍       | 58/235 [00:11<00:35,  5.04it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  25%|██▍       | 58/235 [00:11<00:35,  5.04it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  25%|██▌       | 59/235 [00:11<00:34,  5.03it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  25%|██▌       | 59/235 [00:11<00:34,  5.03it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▌       | 60/235 [00:11<00:34,  5.06it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▌       | 60/235 [00:11<00:34,  5.06it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▌       | 61/235 [00:12<00:34,  5.08it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▌       | 61/235 [00:12<00:34,  5.08it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▋       | 62/235 [00:12<00:34,  5.07it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  26%|██▋       | 62/235 [00:12<00:34,  5.07it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  27%|██▋       | 63/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  27%|██▋       | 63/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  27%|██▋       | 64/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  27%|██▋       | 64/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  28%|██▊       | 65/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  28%|██▊       | 65/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  28%|██▊       | 66/235 [00:12<00:32,  5.13it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  28%|██▊       | 66/235 [00:12<00:32,  5.13it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▊       | 67/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▊       | 67/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▉       | 68/235 [00:13<00:32,  5.16it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▉       | 69/235 [00:13<00:32,  5.17it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  29%|██▉       | 69/235 [00:13<00:32,  5.17it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  30%|██▉       | 70/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=1.100, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  30%|██▉       | 70/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  30%|███       | 71/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  30%|███       | 71/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███       | 72/235 [00:13<00:31,  5.21it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███       | 72/235 [00:13<00:31,  5.21it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███       | 73/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███       | 73/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███▏      | 74/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  31%|███▏      | 74/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  32%|███▏      | 75/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  32%|███▏      | 75/235 [00:14<00:30,  5.25it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  32%|███▏      | 76/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  32%|███▏      | 76/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  33%|███▎      | 77/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  33%|███▎      | 77/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  33%|███▎      | 78/235 [00:14<00:29,  5.30it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  33%|███▎      | 78/235 [00:14<00:29,  5.30it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▎      | 79/235 [00:14<00:29,  5.32it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▎      | 79/235 [00:14<00:29,  5.32it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▍      | 80/235 [00:15<00:29,  5.33it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▍      | 80/235 [00:15<00:29,  5.33it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▍      | 81/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  34%|███▍      | 81/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  35%|███▍      | 82/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=1.170, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  35%|███▍      | 82/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  35%|███▌      | 83/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  35%|███▌      | 83/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  36%|███▌      | 84/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  36%|███▌      | 84/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  36%|███▌      | 85/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  36%|███▌      | 85/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 86/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 86/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 87/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 87/235 [00:16<00:27,  5.36it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 88/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  37%|███▋      | 88/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  38%|███▊      | 89/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  38%|███▊      | 89/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  38%|███▊      | 90/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  38%|███▊      | 90/235 [00:16<00:26,  5.38it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  39%|███▊      | 91/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  39%|███▊      | 91/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  39%|███▉      | 92/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  39%|███▉      | 92/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|███▉      | 93/235 [00:17<00:26,  5.41it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|███▉      | 93/235 [00:17<00:26,  5.41it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|████      | 94/235 [00:17<00:26,  5.41it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|████      | 94/235 [00:17<00:26,  5.41it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|████      | 95/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  40%|████      | 95/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  41%|████      | 96/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  41%|████      | 96/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  41%|████▏     | 97/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  41%|████▏     | 97/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  42%|████▏     | 98/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  42%|████▏     | 98/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  42%|████▏     | 99/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  42%|████▏     | 99/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 100/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.160, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 100/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 101/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 101/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 102/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  43%|████▎     | 102/235 [00:18<00:24,  5.49it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  44%|████▍     | 104/235 [00:18<00:23,  5.50it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  44%|████▍     | 104/235 [00:18<00:23,  5.49it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  45%|████▍     | 105/235 [00:19<00:23,  5.51it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  45%|████▍     | 105/235 [00:19<00:23,  5.51it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▌     | 107/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▌     | 107/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▌     | 108/235 [00:19<00:22,  5.53it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▌     | 108/235 [00:19<00:22,  5.53it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▋     | 109/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  46%|████▋     | 109/235 [00:19<00:22,  5.55it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  47%|████▋     | 110/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  47%|████▋     | 110/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  47%|████▋     | 111/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  47%|████▋     | 111/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▊     | 114/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▊     | 114/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▉     | 115/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▉     | 115/235 [00:20<00:21,  5.57it/s, v_num=17, loss/train=0.973, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▉     | 116/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=0.973, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  49%|████▉     | 116/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  50%|████▉     | 117/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  50%|████▉     | 117/235 [00:20<00:21,  5.58it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  50%|█████     | 118/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████     | 119/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████     | 119/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████     | 120/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████     | 120/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  51%|█████▏    | 121/235 [00:21<00:20,  5.60it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  52%|█████▏    | 122/235 [00:21<00:20,  5.61it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  52%|█████▏    | 122/235 [00:21<00:20,  5.61it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  52%|█████▏    | 123/235 [00:21<00:19,  5.61it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  52%|█████▏    | 123/235 [00:21<00:19,  5.61it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  53%|█████▎    | 124/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  53%|█████▎    | 124/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  53%|█████▎    | 125/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  53%|█████▎    | 125/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▎    | 126/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▎    | 126/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▍    | 127/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▍    | 127/235 [00:22<00:19,  5.62it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▍    | 128/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  54%|█████▍    | 128/235 [00:22<00:19,  5.63it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  55%|█████▍    | 129/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  55%|█████▍    | 129/235 [00:22<00:18,  5.63it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  55%|█████▌    | 130/235 [00:23<00:18,  5.64it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  55%|█████▌    | 130/235 [00:23<00:18,  5.64it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  56%|█████▌    | 131/235 [00:23<00:18,  5.65it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  56%|█████▌    | 132/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  56%|█████▌    | 132/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 133/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.120, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 133/235 [00:23<00:18,  5.66it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 134/235 [00:23<00:17,  5.66it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 134/235 [00:23<00:17,  5.66it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 135/235 [00:23<00:17,  5.66it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  57%|█████▋    | 135/235 [00:23<00:17,  5.66it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  58%|█████▊    | 136/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  58%|█████▊    | 136/235 [00:23<00:17,  5.67it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  58%|█████▊    | 137/235 [00:24<00:17,  5.67it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  58%|█████▊    | 137/235 [00:24<00:17,  5.67it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  59%|█████▊    | 138/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  59%|█████▊    | 138/235 [00:24<00:17,  5.68it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  59%|█████▉    | 139/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  59%|█████▉    | 139/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|█████▉    | 140/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|█████▉    | 140/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|██████    | 141/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|██████    | 141/235 [00:24<00:16,  5.69it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  60%|██████    | 142/235 [00:24<00:16,  5.70it/s, v_num=17, loss/train=0.996, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  61%|██████    | 143/235 [00:25<00:16,  5.70it/s, v_num=17, loss/train=0.996, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  61%|██████    | 143/235 [00:25<00:16,  5.70it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  61%|██████▏   | 144/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=0.957, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  62%|██████▏   | 145/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=0.957, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  62%|██████▏   | 145/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=0.978, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  62%|██████▏   | 146/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=0.978, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  62%|██████▏   | 146/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 147/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 147/235 [00:25<00:15,  5.71it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 148/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 148/235 [00:25<00:15,  5.72it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 149/235 [00:26<00:15,  5.72it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  63%|██████▎   | 149/235 [00:26<00:15,  5.72it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  64%|██████▍   | 150/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  64%|██████▍   | 150/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  64%|██████▍   | 151/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  64%|██████▍   | 151/235 [00:26<00:14,  5.73it/s, v_num=17, loss/train=0.991, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  65%|██████▍   | 152/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=0.991, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  65%|██████▍   | 152/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=0.995, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  65%|██████▌   | 153/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=0.995, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  65%|██████▌   | 153/235 [00:26<00:14,  5.75it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▌   | 154/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=1.130, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▌   | 154/235 [00:26<00:14,  5.74it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▌   | 155/235 [00:26<00:13,  5.75it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▌   | 155/235 [00:26<00:13,  5.75it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▋   | 156/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  66%|██████▋   | 156/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  67%|██████▋   | 157/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.140, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  67%|██████▋   | 157/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  67%|██████▋   | 158/235 [00:27<00:13,  5.75it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  68%|██████▊   | 159/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  68%|██████▊   | 159/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  68%|██████▊   | 160/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  68%|██████▊   | 160/235 [00:27<00:13,  5.76it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▊   | 161/235 [00:27<00:12,  5.76it/s, v_num=17, loss/train=0.998, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▊   | 161/235 [00:27<00:12,  5.76it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▉   | 162/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▉   | 162/235 [00:28<00:12,  5.77it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▉   | 163/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  69%|██████▉   | 163/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  70%|██████▉   | 164/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=0.997, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  70%|██████▉   | 164/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  70%|███████   | 165/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  70%|███████   | 165/235 [00:28<00:12,  5.78it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████   | 166/235 [00:28<00:11,  5.79it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████   | 166/235 [00:28<00:11,  5.79it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████   | 167/235 [00:28<00:11,  5.79it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████   | 167/235 [00:28<00:11,  5.79it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████▏  | 168/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  71%|███████▏  | 168/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=0.988, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  72%|███████▏  | 169/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=0.988, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  72%|███████▏  | 169/235 [00:29<00:11,  5.79it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  72%|███████▏  | 170/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  72%|███████▏  | 170/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  73%|███████▎  | 171/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  73%|███████▎  | 171/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  73%|███████▎  | 172/235 [00:29<00:10,  5.79it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▎  | 173/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▍  | 174/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▍  | 174/235 [00:29<00:10,  5.80it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  74%|███████▍  | 175/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=0.972, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  75%|███████▍  | 176/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=0.972, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  75%|███████▍  | 176/235 [00:30<00:10,  5.81it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  75%|███████▌  | 177/235 [00:30<00:09,  5.82it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  76%|███████▌  | 178/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  76%|███████▌  | 178/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  76%|███████▌  | 179/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  76%|███████▌  | 179/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.999, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 180/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.999, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 180/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 181/235 [00:31<00:09,  5.82it/s, v_num=17, loss/train=1.080, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 181/235 [00:31<00:09,  5.82it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 182/235 [00:31<00:09,  5.83it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  77%|███████▋  | 182/235 [00:31<00:09,  5.83it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  78%|███████▊  | 183/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  78%|███████▊  | 183/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  78%|███████▊  | 184/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  78%|███████▊  | 184/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  79%|███████▊  | 185/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  79%|███████▊  | 185/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  79%|███████▉  | 186/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  79%|███████▉  | 186/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|███████▉  | 187/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|███████▉  | 187/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|████████  | 188/235 [00:32<00:08,  5.85it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|████████  | 188/235 [00:32<00:08,  5.85it/s, v_num=17, loss/train=0.984, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|████████  | 189/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=0.984, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  80%|████████  | 189/235 [00:32<00:07,  5.84it/s, v_num=17, loss/train=0.970, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  81%|████████  | 190/235 [00:32<00:07,  5.85it/s, v_num=17, loss/train=0.970, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  81%|████████  | 190/235 [00:32<00:07,  5.85it/s, v_num=17, loss/train=0.978, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  81%|████████▏ | 191/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=0.978, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  81%|████████▏ | 191/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  82%|████████▏ | 192/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  82%|████████▏ | 192/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  82%|████████▏ | 193/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  82%|████████▏ | 193/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=1.000, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 194/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=1.000, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 194/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 195/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=1.110, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 195/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.994, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 196/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.994, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  83%|████████▎ | 196/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  84%|████████▍ | 197/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  84%|████████▍ | 197/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  84%|████████▍ | 198/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  84%|████████▍ | 198/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  85%|████████▍ | 199/235 [00:33<00:06,  5.86it/s, v_num=17, loss/train=0.940, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  85%|████████▌ | 200/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=0.940, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  85%|████████▌ | 200/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▌ | 201/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▌ | 201/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▌ | 202/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▋ | 203/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  86%|████████▋ | 203/235 [00:34<00:05,  5.87it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  87%|████████▋ | 204/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  87%|████████▋ | 204/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.960, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  87%|████████▋ | 205/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.960, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  87%|████████▋ | 205/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  88%|████████▊ | 206/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.010, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  88%|████████▊ | 206/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  88%|████████▊ | 207/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▊ | 208/235 [00:35<00:04,  5.88it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▉ | 209/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▉ | 209/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=0.930, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▉ | 210/235 [00:35<00:04,  5.90it/s, v_num=17, loss/train=0.930, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  89%|████████▉ | 210/235 [00:35<00:04,  5.90it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  90%|████████▉ | 211/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  90%|████████▉ | 211/235 [00:35<00:04,  5.89it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  90%|█████████ | 212/235 [00:35<00:03,  5.90it/s, v_num=17, loss/train=0.980, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  90%|█████████ | 212/235 [00:35<00:03,  5.90it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████ | 213/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=1.070, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████ | 213/235 [00:36<00:03,  5.90it/s, v_num=17, loss/train=0.970, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████ | 214/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=0.970, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████ | 214/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████▏| 215/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  91%|█████████▏| 215/235 [00:36<00:03,  5.91it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  92%|█████████▏| 216/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=1.030, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  92%|█████████▏| 216/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  92%|█████████▏| 217/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=1.020, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  92%|█████████▏| 217/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.946, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=0.946, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  93%|█████████▎| 218/235 [00:36<00:02,  5.93it/s, v_num=17, loss/train=0.965, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  93%|█████████▎| 219/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=0.965, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  93%|█████████▎| 219/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=0.996, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▎| 220/235 [00:36<00:02,  5.96it/s, v_num=17, loss/train=0.996, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▎| 220/235 [00:36<00:02,  5.96it/s, v_num=17, loss/train=0.929, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▍| 221/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=0.929, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▍| 221/235 [00:37<00:02,  5.97it/s, v_num=17, loss/train=0.990, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▍| 222/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=0.990, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  94%|█████████▍| 222/235 [00:37<00:02,  5.98it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  95%|█████████▍| 223/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=1.050, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  95%|█████████▍| 223/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=0.915, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=0.915, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  95%|█████████▌| 224/235 [00:37<00:01,  6.00it/s, v_num=17, loss/train=0.967, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  96%|█████████▌| 225/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=0.967, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  96%|█████████▌| 225/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  96%|█████████▌| 226/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=1.060, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  96%|█████████▌| 226/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=0.960, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 227/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=0.960, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 227/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=0.951, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 228/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=0.951, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 228/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 229/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=0.974, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  97%|█████████▋| 229/235 [00:37<00:00,  6.06it/s, v_num=17, loss/train=0.940, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  98%|█████████▊| 230/235 [00:37<00:00,  6.07it/s, v_num=17, loss/train=0.940, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  98%|█████████▊| 230/235 [00:37<00:00,  6.07it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  98%|█████████▊| 231/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=1.090, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  98%|█████████▊| 231/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  99%|█████████▊| 232/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=1.040, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  99%|█████████▊| 232/235 [00:38<00:00,  6.10it/s, v_num=17, loss/train=0.993, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  99%|█████████▉| 233/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=0.993, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:  99%|█████████▉| 233/235 [00:38<00:00,  6.11it/s, v_num=17, loss/train=0.994, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6: 100%|█████████▉| 234/235 [00:38<00:00,  6.12it/s, v_num=17, loss/train=0.994, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6: 100%|█████████▉| 234/235 [00:38<00:00,  6.12it/s, v_num=17, loss/train=0.945, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6: 100%|██████████| 235/235 [00:38<00:00,  6.14it/s, v_num=17, loss/train=0.945, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6: 100%|██████████| 235/235 [00:38<00:00,  6.14it/s, v_num=17, loss/train=0.516, loss/val=1.470, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]

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Epoch 6: 100%|██████████| 235/235 [00:43<00:00,  5.44it/s, v_num=17, loss/train=0.516, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6: 100%|██████████| 235/235 [00:43<00:00,  5.44it/s, v_num=17, loss/train=0.516, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 6:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.516, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.516, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   0%|          | 1/235 [00:02<10:11,  0.38it/s, v_num=17, loss/train=0.516, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   0%|          | 1/235 [00:02<10:11,  0.38it/s, v_num=17, loss/train=1.100, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   1%|          | 2/235 [00:02<05:19,  0.73it/s, v_num=17, loss/train=1.100, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   1%|          | 2/235 [00:02<05:19,  0.73it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   1%|▏         | 3/235 [00:02<03:43,  1.04it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   2%|▏         | 4/235 [00:03<02:54,  1.32it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   2%|▏         | 4/235 [00:03<02:54,  1.32it/s, v_num=17, loss/train=1.060, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   2%|▏         | 5/235 [00:03<02:25,  1.58it/s, v_num=17, loss/train=1.060, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   2%|▏         | 5/235 [00:03<02:25,  1.58it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 6/235 [00:03<02:06,  1.81it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 6/235 [00:03<02:06,  1.81it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 7/235 [00:03<01:53,  2.01it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   3%|▎         | 8/235 [00:03<01:43,  2.20it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   4%|▍         | 10/235 [00:03<01:29,  2.53it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   5%|▍         | 11/235 [00:04<01:24,  2.66it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   5%|▌         | 12/235 [00:04<01:19,  2.80it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▌         | 13/235 [00:04<01:16,  2.92it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▌         | 13/235 [00:04<01:16,  2.92it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▌         | 14/235 [00:04<01:13,  3.01it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▌         | 14/235 [00:04<01:13,  3.01it/s, v_num=17, loss/train=1.070, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▋         | 15/235 [00:04<01:10,  3.13it/s, v_num=17, loss/train=1.070, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   6%|▋         | 15/235 [00:04<01:10,  3.13it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   7%|▋         | 16/235 [00:04<01:07,  3.24it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   7%|▋         | 16/235 [00:04<01:07,  3.24it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   7%|▋         | 17/235 [00:05<01:05,  3.35it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   8%|▊         | 18/235 [00:05<01:02,  3.45it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   8%|▊         | 18/235 [00:05<01:02,  3.45it/s, v_num=17, loss/train=1.110, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   8%|▊         | 19/235 [00:05<01:01,  3.50it/s, v_num=17, loss/train=1.110, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   8%|▊         | 19/235 [00:05<01:01,  3.50it/s, v_num=17, loss/train=1.100, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=1.100, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▊         | 20/235 [00:05<00:59,  3.59it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=0.999, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▉         | 22/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=0.999, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:   9%|▉         | 22/235 [00:05<00:57,  3.73it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  10%|█         | 24/235 [00:06<00:54,  3.88it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█         | 25/235 [00:06<00:53,  3.95it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█         | 25/235 [00:06<00:53,  3.95it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█         | 26/235 [00:06<00:52,  4.02it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█         | 26/235 [00:06<00:52,  4.02it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█▏        | 27/235 [00:06<00:51,  4.06it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  11%|█▏        | 27/235 [00:06<00:51,  4.06it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  12%|█▏        | 28/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  12%|█▏        | 28/235 [00:06<00:51,  4.05it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  12%|█▏        | 29/235 [00:07<00:50,  4.08it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  12%|█▏        | 29/235 [00:07<00:50,  4.08it/s, v_num=17, loss/train=0.977, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  13%|█▎        | 30/235 [00:07<00:49,  4.14it/s, v_num=17, loss/train=0.977, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  13%|█▎        | 30/235 [00:07<00:49,  4.14it/s, v_num=17, loss/train=1.110, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  13%|█▎        | 31/235 [00:07<00:48,  4.20it/s, v_num=17, loss/train=1.110, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  13%|█▎        | 31/235 [00:07<00:48,  4.20it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▎        | 32/235 [00:07<00:47,  4.25it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▎        | 32/235 [00:07<00:47,  4.25it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▍        | 33/235 [00:07<00:47,  4.28it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▍        | 33/235 [00:07<00:47,  4.28it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▍        | 34/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  14%|█▍        | 34/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  15%|█▍        | 35/235 [00:08<00:45,  4.35it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  15%|█▍        | 35/235 [00:08<00:45,  4.35it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  15%|█▌        | 36/235 [00:08<00:45,  4.36it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  15%|█▌        | 36/235 [00:08<00:45,  4.36it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  16%|█▌        | 37/235 [00:08<00:44,  4.42it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  16%|█▌        | 37/235 [00:08<00:44,  4.41it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  16%|█▌        | 38/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  16%|█▌        | 38/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=0.960, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 39/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=0.960, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 39/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 40/235 [00:08<00:42,  4.54it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 40/235 [00:08<00:42,  4.54it/s, v_num=17, loss/train=0.963, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 41/235 [00:08<00:42,  4.59it/s, v_num=17, loss/train=0.963, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  17%|█▋        | 41/235 [00:08<00:42,  4.59it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  18%|█▊        | 42/235 [00:09<00:42,  4.59it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  18%|█▊        | 42/235 [00:09<00:42,  4.59it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  18%|█▊        | 43/235 [00:09<00:41,  4.62it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  18%|█▊        | 43/235 [00:09<00:41,  4.62it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  19%|█▊        | 44/235 [00:09<00:41,  4.65it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  19%|█▊        | 44/235 [00:09<00:41,  4.65it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  19%|█▉        | 45/235 [00:09<00:40,  4.69it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  19%|█▉        | 45/235 [00:09<00:40,  4.69it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|█▉        | 46/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|█▉        | 46/235 [00:09<00:40,  4.71it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|██        | 47/235 [00:09<00:39,  4.72it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|██        | 47/235 [00:09<00:39,  4.72it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|██        | 48/235 [00:10<00:39,  4.75it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  20%|██        | 48/235 [00:10<00:39,  4.75it/s, v_num=17, loss/train=0.967, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  21%|██        | 49/235 [00:10<00:39,  4.77it/s, v_num=17, loss/train=0.967, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  21%|██        | 49/235 [00:10<00:39,  4.77it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  21%|██▏       | 50/235 [00:10<00:38,  4.80it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  21%|██▏       | 50/235 [00:10<00:38,  4.80it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  22%|██▏       | 51/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  22%|██▏       | 51/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  22%|██▏       | 52/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  22%|██▏       | 52/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 53/235 [00:10<00:37,  4.87it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 53/235 [00:10<00:37,  4.87it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 54/235 [00:11<00:36,  4.89it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 54/235 [00:11<00:36,  4.89it/s, v_num=17, loss/train=0.949, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 55/235 [00:11<00:36,  4.90it/s, v_num=17, loss/train=0.949, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  23%|██▎       | 55/235 [00:11<00:36,  4.90it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  24%|██▍       | 56/235 [00:11<00:36,  4.91it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  24%|██▍       | 56/235 [00:11<00:36,  4.91it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  24%|██▍       | 57/235 [00:11<00:36,  4.94it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  24%|██▍       | 57/235 [00:11<00:36,  4.94it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  25%|██▍       | 58/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  25%|██▍       | 58/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=0.988, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  25%|██▌       | 59/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=0.988, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  25%|██▌       | 59/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▌       | 60/235 [00:11<00:34,  5.02it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▌       | 60/235 [00:11<00:34,  5.02it/s, v_num=17, loss/train=0.988, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▌       | 61/235 [00:12<00:34,  5.01it/s, v_num=17, loss/train=0.988, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▌       | 61/235 [00:12<00:34,  5.01it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▋       | 62/235 [00:12<00:34,  5.03it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  26%|██▋       | 62/235 [00:12<00:34,  5.03it/s, v_num=17, loss/train=0.976, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  27%|██▋       | 63/235 [00:12<00:33,  5.06it/s, v_num=17, loss/train=0.976, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  27%|██▋       | 63/235 [00:12<00:33,  5.06it/s, v_num=17, loss/train=1.080, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  27%|██▋       | 64/235 [00:12<00:33,  5.07it/s, v_num=17, loss/train=1.080, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  27%|██▋       | 64/235 [00:12<00:33,  5.07it/s, v_num=17, loss/train=0.923, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  28%|██▊       | 65/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=0.923, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  28%|██▊       | 65/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=0.935, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  28%|██▊       | 66/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=0.935, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  28%|██▊       | 66/235 [00:12<00:33,  5.10it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▊       | 67/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▊       | 67/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=0.905, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▉       | 68/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=0.905, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▉       | 68/235 [00:13<00:32,  5.13it/s, v_num=17, loss/train=0.907, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▉       | 69/235 [00:13<00:32,  5.15it/s, v_num=17, loss/train=0.907, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  29%|██▉       | 69/235 [00:13<00:32,  5.15it/s, v_num=17, loss/train=0.973, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  30%|██▉       | 70/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=0.973, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  30%|██▉       | 70/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  30%|███       | 71/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  30%|███       | 71/235 [00:13<00:31,  5.18it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███       | 72/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███       | 73/235 [00:14<00:31,  5.21it/s, v_num=17, loss/train=0.989, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███▏      | 74/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=0.989, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  31%|███▏      | 74/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  32%|███▏      | 75/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=0.981, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  32%|███▏      | 75/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  32%|███▏      | 76/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  32%|███▏      | 76/235 [00:14<00:30,  5.24it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  33%|███▎      | 77/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  33%|███▎      | 77/235 [00:14<00:30,  5.26it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  33%|███▎      | 78/235 [00:14<00:29,  5.26it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  33%|███▎      | 78/235 [00:14<00:29,  5.26it/s, v_num=17, loss/train=0.986, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=0.986, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▎      | 79/235 [00:14<00:29,  5.28it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▍      | 80/235 [00:15<00:29,  5.30it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▍      | 80/235 [00:15<00:29,  5.30it/s, v_num=17, loss/train=0.930, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▍      | 81/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.930, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  34%|███▍      | 81/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.989, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  35%|███▍      | 82/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.989, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  35%|███▍      | 82/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.995, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  35%|███▌      | 83/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=0.995, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  35%|███▌      | 83/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  36%|███▌      | 84/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  36%|███▌      | 84/235 [00:15<00:28,  5.33it/s, v_num=17, loss/train=0.969, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  36%|███▌      | 85/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.969, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  36%|███▌      | 85/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 86/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 86/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 87/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 87/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 88/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  37%|███▋      | 88/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  38%|███▊      | 89/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  38%|███▊      | 89/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=0.969, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  38%|███▊      | 90/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=0.969, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  38%|███▊      | 90/235 [00:16<00:26,  5.41it/s, v_num=17, loss/train=0.897, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  39%|███▊      | 91/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=0.897, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  39%|███▊      | 91/235 [00:16<00:26,  5.39it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  39%|███▉      | 92/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  39%|███▉      | 92/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|███▉      | 93/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|███▉      | 93/235 [00:17<00:26,  5.40it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|████      | 94/235 [00:17<00:26,  5.42it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|████      | 94/235 [00:17<00:26,  5.42it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|████      | 95/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  40%|████      | 95/235 [00:17<00:25,  5.43it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  41%|████      | 96/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  41%|████      | 96/235 [00:17<00:25,  5.45it/s, v_num=17, loss/train=0.904, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  41%|████▏     | 97/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=0.904, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  41%|████▏     | 97/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=0.967, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  42%|████▏     | 98/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=0.967, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  42%|████▏     | 98/235 [00:17<00:25,  5.44it/s, v_num=17, loss/train=0.927, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  42%|████▏     | 99/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=0.927, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  42%|████▏     | 99/235 [00:18<00:24,  5.45it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 100/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 100/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 101/235 [00:18<00:24,  5.47it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 101/235 [00:18<00:24,  5.47it/s, v_num=17, loss/train=0.992, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 102/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=0.992, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  43%|████▎     | 102/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  44%|████▍     | 103/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  44%|████▍     | 103/235 [00:18<00:24,  5.50it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  44%|████▍     | 104/235 [00:18<00:23,  5.51it/s, v_num=17, loss/train=0.965, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=0.965, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  45%|████▍     | 105/235 [00:19<00:23,  5.52it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  45%|████▌     | 106/235 [00:19<00:23,  5.53it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▌     | 107/235 [00:19<00:23,  5.51it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▌     | 107/235 [00:19<00:23,  5.51it/s, v_num=17, loss/train=0.944, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▌     | 108/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=0.944, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▌     | 108/235 [00:19<00:23,  5.50it/s, v_num=17, loss/train=0.974, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▋     | 109/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=0.974, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  46%|████▋     | 109/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  47%|████▋     | 110/235 [00:19<00:22,  5.52it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  47%|████▋     | 110/235 [00:19<00:22,  5.52it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  47%|████▋     | 111/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=1.050, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  47%|████▋     | 111/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  48%|████▊     | 113/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  48%|████▊     | 113/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▊     | 114/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▊     | 114/235 [00:20<00:21,  5.55it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▉     | 115/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▉     | 115/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▉     | 116/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  49%|████▉     | 116/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  50%|████▉     | 117/235 [00:21<00:21,  5.54it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  50%|████▉     | 117/235 [00:21<00:21,  5.54it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  50%|█████     | 118/235 [00:21<00:21,  5.55it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  50%|█████     | 118/235 [00:21<00:21,  5.55it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████     | 119/235 [00:21<00:20,  5.56it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████     | 119/235 [00:21<00:20,  5.56it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████     | 120/235 [00:21<00:20,  5.56it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████     | 120/235 [00:21<00:20,  5.56it/s, v_num=17, loss/train=0.987, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████▏    | 121/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.987, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  51%|█████▏    | 121/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.973, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.973, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.948, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=0.948, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  53%|█████▎    | 124/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  53%|█████▎    | 124/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▍    | 128/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  54%|█████▍    | 128/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.960, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  55%|█████▍    | 129/235 [00:22<00:18,  5.61it/s, v_num=17, loss/train=0.960, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  55%|█████▍    | 129/235 [00:22<00:18,  5.61it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  55%|█████▌    | 130/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  55%|█████▌    | 130/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  56%|█████▌    | 131/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  56%|█████▌    | 131/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.070, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.070, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 133/235 [00:23<00:18,  5.63it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 133/235 [00:23<00:18,  5.63it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 134/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 134/235 [00:23<00:17,  5.63it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 135/235 [00:23<00:17,  5.64it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  57%|█████▋    | 135/235 [00:23<00:17,  5.64it/s, v_num=17, loss/train=0.860, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  58%|█████▊    | 136/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=0.860, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  58%|█████▊    | 136/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  58%|█████▊    | 137/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.993, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  58%|█████▊    | 137/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  59%|█████▊    | 138/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  59%|█████▊    | 138/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  59%|█████▉    | 139/235 [00:24<00:16,  5.66it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  59%|█████▉    | 139/235 [00:24<00:16,  5.66it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|█████▉    | 140/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|█████▉    | 140/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|██████    | 141/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=0.961, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|██████    | 141/235 [00:24<00:16,  5.67it/s, v_num=17, loss/train=0.923, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|██████    | 142/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=0.923, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  60%|██████    | 142/235 [00:24<00:16,  5.68it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  61%|██████    | 143/235 [00:25<00:16,  5.68it/s, v_num=17, loss/train=0.951, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  61%|██████    | 143/235 [00:25<00:16,  5.68it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  61%|██████▏   | 144/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  61%|██████▏   | 144/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.080, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  62%|██████▏   | 145/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.080, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  62%|██████▏   | 145/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  62%|██████▏   | 146/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.020, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  62%|██████▏   | 146/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=0.908, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 147/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=0.908, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 147/235 [00:25<00:15,  5.69it/s, v_num=17, loss/train=1.060, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 148/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=1.060, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 148/235 [00:25<00:15,  5.70it/s, v_num=17, loss/train=0.913, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 149/235 [00:26<00:15,  5.69it/s, v_num=17, loss/train=0.913, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  63%|██████▎   | 149/235 [00:26<00:15,  5.69it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  64%|██████▍   | 150/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=0.990, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  64%|██████▍   | 150/235 [00:26<00:14,  5.70it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  64%|██████▍   | 151/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.010, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  64%|██████▍   | 151/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  65%|██████▍   | 152/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.000, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  65%|██████▍   | 152/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  65%|██████▌   | 153/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  65%|██████▌   | 153/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=0.935, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▌   | 154/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=0.935, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▌   | 154/235 [00:26<00:14,  5.71it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▌   | 155/235 [00:27<00:14,  5.71it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▌   | 155/235 [00:27<00:14,  5.71it/s, v_num=17, loss/train=0.975, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▋   | 156/235 [00:27<00:13,  5.71it/s, v_num=17, loss/train=0.975, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  66%|██████▋   | 156/235 [00:27<00:13,  5.71it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  67%|██████▋   | 157/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.968, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  67%|██████▋   | 157/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  67%|██████▋   | 158/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.982, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  67%|██████▋   | 158/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.867, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  68%|██████▊   | 159/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=0.867, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  68%|██████▊   | 159/235 [00:27<00:13,  5.73it/s, v_num=17, loss/train=0.986, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  68%|██████▊   | 160/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.986, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  68%|██████▊   | 160/235 [00:27<00:13,  5.72it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▊   | 161/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▊   | 161/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▉   | 162/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.996, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▉   | 162/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▉   | 163/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.924, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  69%|██████▉   | 163/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.916, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  70%|██████▉   | 164/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.916, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  70%|██████▉   | 164/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.985, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  70%|███████   | 165/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.985, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  70%|███████   | 165/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.987, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████   | 166/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.987, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████   | 166/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.900, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████   | 167/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.900, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████   | 167/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.882, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████▏  | 168/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.882, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  71%|███████▏  | 168/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.983, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  72%|███████▏  | 169/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.983, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  72%|███████▏  | 169/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  72%|███████▏  | 170/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  72%|███████▏  | 170/235 [00:29<00:11,  5.76it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  73%|███████▎  | 171/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  73%|███████▎  | 171/235 [00:29<00:11,  5.77it/s, v_num=17, loss/train=0.929, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  73%|███████▎  | 172/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=0.929, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  73%|███████▎  | 172/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=0.948, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▎  | 173/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=0.948, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▎  | 173/235 [00:29<00:10,  5.78it/s, v_num=17, loss/train=0.979, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▍  | 174/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=0.979, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▍  | 174/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=0.892, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▍  | 175/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=0.892, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  74%|███████▍  | 175/235 [00:30<00:10,  5.78it/s, v_num=17, loss/train=0.933, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  75%|███████▍  | 176/235 [00:30<00:10,  5.74it/s, v_num=17, loss/train=0.933, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  75%|███████▍  | 176/235 [00:30<00:10,  5.74it/s, v_num=17, loss/train=0.942, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.942, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.963, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=0.963, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  76%|███████▌  | 179/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=1.040, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  76%|███████▌  | 179/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.914, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 180/235 [00:31<00:09,  5.78it/s, v_num=17, loss/train=0.914, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 180/235 [00:31<00:09,  5.78it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 181/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 181/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.901, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 182/235 [00:31<00:09,  5.78it/s, v_num=17, loss/train=0.901, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  77%|███████▋  | 182/235 [00:31<00:09,  5.78it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  78%|███████▊  | 183/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=0.953, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  78%|███████▊  | 183/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=0.874, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  78%|███████▊  | 184/235 [00:31<00:08,  5.79it/s, v_num=17, loss/train=0.874, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  78%|███████▊  | 184/235 [00:31<00:08,  5.79it/s, v_num=17, loss/train=0.898, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  79%|███████▊  | 185/235 [00:31<00:08,  5.80it/s, v_num=17, loss/train=0.898, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  79%|███████▊  | 185/235 [00:31<00:08,  5.80it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  79%|███████▉  | 186/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  79%|███████▉  | 186/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.905, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|███████▉  | 187/235 [00:32<00:08,  5.77it/s, v_num=17, loss/train=0.905, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|███████▉  | 187/235 [00:32<00:08,  5.77it/s, v_num=17, loss/train=0.865, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|████████  | 188/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.865, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|████████  | 188/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|████████  | 189/235 [00:32<00:07,  5.78it/s, v_num=17, loss/train=0.938, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  80%|████████  | 189/235 [00:32<00:07,  5.78it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  81%|████████  | 190/235 [00:32<00:07,  5.78it/s, v_num=17, loss/train=0.978, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  81%|████████  | 190/235 [00:32<00:07,  5.78it/s, v_num=17, loss/train=0.856, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  81%|████████▏ | 191/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.856, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  81%|████████▏ | 191/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  82%|████████▏ | 192/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.950, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  82%|████████▏ | 192/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.926, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  82%|████████▏ | 193/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.926, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  82%|████████▏ | 193/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 194/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 194/235 [00:33<00:07,  5.79it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 195/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 195/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=0.894, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 196/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=0.894, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  83%|████████▎ | 196/235 [00:33<00:06,  5.80it/s, v_num=17, loss/train=0.940, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  84%|████████▍ | 197/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=0.940, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  84%|████████▍ | 197/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=0.915, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  84%|████████▍ | 198/235 [00:34<00:06,  5.81it/s, v_num=17, loss/train=0.915, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  84%|████████▍ | 198/235 [00:34<00:06,  5.81it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  85%|████████▍ | 199/235 [00:34<00:06,  5.80it/s, v_num=17, loss/train=0.918, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  85%|████████▍ | 199/235 [00:34<00:06,  5.80it/s, v_num=17, loss/train=0.944, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  85%|████████▌ | 200/235 [00:34<00:06,  5.80it/s, v_num=17, loss/train=0.944, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  85%|████████▌ | 200/235 [00:34<00:06,  5.80it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▌ | 201/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.947, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▌ | 201/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▌ | 202/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.941, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▌ | 202/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▋ | 203/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.943, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  86%|████████▋ | 203/235 [00:34<00:05,  5.81it/s, v_num=17, loss/train=0.893, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  87%|████████▋ | 204/235 [00:35<00:05,  5.81it/s, v_num=17, loss/train=0.893, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  87%|████████▋ | 204/235 [00:35<00:05,  5.81it/s, v_num=17, loss/train=0.916, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  87%|████████▋ | 205/235 [00:35<00:05,  5.82it/s, v_num=17, loss/train=0.916, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  87%|████████▋ | 205/235 [00:35<00:05,  5.82it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=0.934, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  88%|████████▊ | 206/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=0.896, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  88%|████████▊ | 207/235 [00:35<00:04,  5.82it/s, v_num=17, loss/train=0.896, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  88%|████████▊ | 207/235 [00:35<00:04,  5.82it/s, v_num=17, loss/train=0.883, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▊ | 208/235 [00:35<00:04,  5.82it/s, v_num=17, loss/train=0.883, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▊ | 208/235 [00:35<00:04,  5.82it/s, v_num=17, loss/train=0.909, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▉ | 209/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=0.909, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▉ | 209/235 [00:35<00:04,  5.83it/s, v_num=17, loss/train=0.977, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▉ | 210/235 [00:36<00:04,  5.83it/s, v_num=17, loss/train=0.977, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  89%|████████▉ | 210/235 [00:36<00:04,  5.83it/s, v_num=17, loss/train=0.885, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  90%|████████▉ | 211/235 [00:36<00:04,  5.83it/s, v_num=17, loss/train=0.885, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  90%|████████▉ | 211/235 [00:36<00:04,  5.83it/s, v_num=17, loss/train=0.915, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  90%|█████████ | 212/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.915, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  90%|█████████ | 212/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████ | 213/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████ | 213/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.867, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████ | 214/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.867, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████ | 214/235 [00:36<00:03,  5.83it/s, v_num=17, loss/train=0.940, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████▏| 215/235 [00:36<00:03,  5.84it/s, v_num=17, loss/train=0.940, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  91%|█████████▏| 215/235 [00:36<00:03,  5.84it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  92%|█████████▏| 216/235 [00:36<00:03,  5.84it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  92%|█████████▏| 216/235 [00:36<00:03,  5.84it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  92%|█████████▏| 217/235 [00:37<00:03,  5.86it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  92%|█████████▏| 217/235 [00:37<00:03,  5.86it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  93%|█████████▎| 218/235 [00:37<00:02,  5.87it/s, v_num=17, loss/train=0.984, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  93%|█████████▎| 218/235 [00:37<00:02,  5.87it/s, v_num=17, loss/train=0.954, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  93%|█████████▎| 219/235 [00:37<00:02,  5.88it/s, v_num=17, loss/train=0.954, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  93%|█████████▎| 219/235 [00:37<00:02,  5.88it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▎| 220/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▎| 220/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▍| 221/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=0.945, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▍| 221/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▍| 222/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  94%|█████████▍| 222/235 [00:37<00:02,  5.92it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  95%|█████████▍| 223/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=0.919, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  95%|█████████▍| 223/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  95%|█████████▌| 224/235 [00:37<00:01,  5.94it/s, v_num=17, loss/train=1.030, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  95%|█████████▌| 224/235 [00:37<00:01,  5.94it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  96%|█████████▌| 225/235 [00:37<00:01,  5.95it/s, v_num=17, loss/train=0.932, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  96%|█████████▌| 225/235 [00:37<00:01,  5.95it/s, v_num=17, loss/train=0.999, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  96%|█████████▌| 226/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=0.999, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  96%|█████████▌| 226/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 227/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=0.925, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 227/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=0.886, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 228/235 [00:38<00:01,  5.99it/s, v_num=17, loss/train=0.886, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 228/235 [00:38<00:01,  5.99it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 229/235 [00:38<00:01,  6.00it/s, v_num=17, loss/train=0.972, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  97%|█████████▋| 229/235 [00:38<00:01,  6.00it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  98%|█████████▊| 230/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=0.958, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  98%|█████████▊| 230/235 [00:38<00:00,  6.01it/s, v_num=17, loss/train=0.964, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  98%|█████████▊| 231/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=0.964, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  98%|█████████▊| 231/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  99%|█████████▊| 232/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=0.937, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  99%|█████████▊| 232/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=0.880, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  99%|█████████▉| 233/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=0.880, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7:  99%|█████████▉| 233/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=0.928, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7: 100%|█████████▉| 234/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=0.928, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7: 100%|█████████▉| 234/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=0.966, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7: 100%|██████████| 235/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=0.966, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]
Epoch 7: 100%|██████████| 235/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=0.471, loss/val=1.370, alignment/val=0.123, uniformity/val=-3.30, contrastive_acc/val=0.639]

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Validation DataLoader 0:  48%|████▊     | 19/40 [00:02<00:03,  6.77it/s]

Validation DataLoader 0:  50%|█████     | 20/40 [00:02<00:02,  6.87it/s]

Validation DataLoader 0:  52%|█████▎    | 21/40 [00:02<00:02,  7.02it/s]

Validation DataLoader 0:  55%|█████▌    | 22/40 [00:03<00:02,  7.16it/s]

Validation DataLoader 0:  57%|█████▊    | 23/40 [00:03<00:02,  7.40it/s]

Validation DataLoader 0:  60%|██████    | 24/40 [00:03<00:02,  7.64it/s]

Validation DataLoader 0:  62%|██████▎   | 25/40 [00:03<00:01,  7.87it/s]

Validation DataLoader 0:  65%|██████▌   | 26/40 [00:03<00:01,  8.10it/s]

Validation DataLoader 0:  68%|██████▊   | 27/40 [00:03<00:01,  8.33it/s]

Validation DataLoader 0:  70%|███████   | 28/40 [00:03<00:01,  8.58it/s]

Validation DataLoader 0:  72%|███████▎  | 29/40 [00:03<00:01,  8.82it/s]

Validation DataLoader 0:  75%|███████▌  | 30/40 [00:03<00:01,  9.03it/s]

Validation DataLoader 0:  78%|███████▊  | 31/40 [00:03<00:00,  9.27it/s]

Validation DataLoader 0:  80%|████████  | 32/40 [00:03<00:00,  9.51it/s]

Validation DataLoader 0:  82%|████████▎ | 33/40 [00:03<00:00,  9.72it/s]

Validation DataLoader 0:  85%|████████▌ | 34/40 [00:03<00:00,  9.95it/s]

Validation DataLoader 0:  88%|████████▊ | 35/40 [00:03<00:00, 10.17it/s]

Validation DataLoader 0:  90%|█████████ | 36/40 [00:03<00:00, 10.39it/s]

Validation DataLoader 0:  92%|█████████▎| 37/40 [00:03<00:00, 10.61it/s]

Validation DataLoader 0:  95%|█████████▌| 38/40 [00:03<00:00, 10.83it/s]

Validation DataLoader 0:  98%|█████████▊| 39/40 [00:03<00:00, 11.03it/s]

Validation DataLoader 0: 100%|██████████| 40/40 [00:03<00:00, 11.30it/s]


Epoch 7: 100%|██████████| 235/235 [00:44<00:00,  5.28it/s, v_num=17, loss/train=0.471, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 7: 100%|██████████| 235/235 [00:44<00:00,  5.28it/s, v_num=17, loss/train=0.471, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 7:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.471, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.471, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   0%|          | 1/235 [00:02<10:13,  0.38it/s, v_num=17, loss/train=0.471, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   0%|          | 1/235 [00:02<10:13,  0.38it/s, v_num=17, loss/train=0.927, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   1%|          | 2/235 [00:02<05:22,  0.72it/s, v_num=17, loss/train=0.927, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   1%|          | 2/235 [00:02<05:22,  0.72it/s, v_num=17, loss/train=0.991, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   1%|▏         | 3/235 [00:02<03:45,  1.03it/s, v_num=17, loss/train=0.991, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   1%|▏         | 3/235 [00:02<03:45,  1.03it/s, v_num=17, loss/train=0.973, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   2%|▏         | 4/235 [00:03<02:56,  1.31it/s, v_num=17, loss/train=0.973, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   2%|▏         | 4/235 [00:03<02:56,  1.31it/s, v_num=17, loss/train=0.956, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=0.956, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   2%|▏         | 5/235 [00:03<02:27,  1.56it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 6/235 [00:03<02:10,  1.76it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 6/235 [00:03<02:10,  1.76it/s, v_num=17, loss/train=0.895, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 7/235 [00:03<01:55,  1.97it/s, v_num=17, loss/train=0.895, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 7/235 [00:03<01:55,  1.97it/s, v_num=17, loss/train=0.954, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 8/235 [00:03<01:45,  2.15it/s, v_num=17, loss/train=0.954, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   3%|▎         | 8/235 [00:03<01:45,  2.15it/s, v_num=17, loss/train=0.947, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   4%|▍         | 9/235 [00:03<01:36,  2.33it/s, v_num=17, loss/train=0.947, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   4%|▍         | 9/235 [00:03<01:37,  2.33it/s, v_num=17, loss/train=0.944, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   4%|▍         | 10/235 [00:04<01:30,  2.48it/s, v_num=17, loss/train=0.944, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   4%|▍         | 10/235 [00:04<01:30,  2.48it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   5%|▍         | 11/235 [00:04<01:25,  2.61it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   5%|▍         | 11/235 [00:04<01:25,  2.61it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   5%|▌         | 12/235 [00:04<01:20,  2.76it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   5%|▌         | 12/235 [00:04<01:20,  2.76it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▌         | 13/235 [00:04<01:17,  2.88it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▌         | 13/235 [00:04<01:17,  2.88it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▌         | 14/235 [00:04<01:13,  3.02it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▌         | 14/235 [00:04<01:13,  3.02it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▋         | 15/235 [00:04<01:10,  3.12it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   6%|▋         | 15/235 [00:04<01:10,  3.12it/s, v_num=17, loss/train=0.934, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   7%|▋         | 16/235 [00:04<01:07,  3.23it/s, v_num=17, loss/train=0.934, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   7%|▋         | 16/235 [00:04<01:07,  3.23it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   7%|▋         | 17/235 [00:05<01:05,  3.34it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   7%|▋         | 17/235 [00:05<01:05,  3.34it/s, v_num=17, loss/train=0.998, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   8%|▊         | 18/235 [00:05<01:03,  3.44it/s, v_num=17, loss/train=0.998, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   8%|▊         | 18/235 [00:05<01:03,  3.44it/s, v_num=17, loss/train=0.974, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   8%|▊         | 19/235 [00:05<01:02,  3.46it/s, v_num=17, loss/train=0.974, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   8%|▊         | 19/235 [00:05<01:02,  3.45it/s, v_num=17, loss/train=0.956, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▊         | 20/235 [00:05<01:00,  3.53it/s, v_num=17, loss/train=0.956, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▊         | 20/235 [00:05<01:00,  3.53it/s, v_num=17, loss/train=0.990, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▉         | 21/235 [00:05<00:59,  3.62it/s, v_num=17, loss/train=0.990, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▉         | 21/235 [00:05<00:59,  3.62it/s, v_num=17, loss/train=0.952, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▉         | 22/235 [00:05<00:57,  3.69it/s, v_num=17, loss/train=0.952, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   9%|▉         | 22/235 [00:05<00:57,  3.69it/s, v_num=17, loss/train=0.871, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  10%|▉         | 23/235 [00:06<00:56,  3.77it/s, v_num=17, loss/train=0.871, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  10%|▉         | 23/235 [00:06<00:56,  3.77it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  10%|█         | 24/235 [00:06<00:55,  3.83it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  10%|█         | 24/235 [00:06<00:55,  3.83it/s, v_num=17, loss/train=0.983, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█         | 25/235 [00:06<00:53,  3.89it/s, v_num=17, loss/train=0.983, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█         | 25/235 [00:06<00:53,  3.89it/s, v_num=17, loss/train=0.949, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=0.949, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=0.947, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=0.947, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  11%|█▏        | 27/235 [00:06<00:51,  4.02it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  12%|█▏        | 28/235 [00:06<00:50,  4.06it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  12%|█▏        | 28/235 [00:06<00:50,  4.06it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  12%|█▏        | 29/235 [00:07<00:50,  4.08it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  12%|█▏        | 29/235 [00:07<00:50,  4.08it/s, v_num=17, loss/train=0.964, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  13%|█▎        | 30/235 [00:07<00:49,  4.14it/s, v_num=17, loss/train=0.964, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  13%|█▎        | 30/235 [00:07<00:49,  4.14it/s, v_num=17, loss/train=0.972, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  13%|█▎        | 31/235 [00:07<00:48,  4.18it/s, v_num=17, loss/train=0.972, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  13%|█▎        | 31/235 [00:07<00:48,  4.18it/s, v_num=17, loss/train=0.944, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▎        | 32/235 [00:07<00:47,  4.24it/s, v_num=17, loss/train=0.944, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▎        | 32/235 [00:07<00:47,  4.23it/s, v_num=17, loss/train=0.953, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▍        | 33/235 [00:07<00:47,  4.26it/s, v_num=17, loss/train=0.953, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▍        | 33/235 [00:07<00:47,  4.26it/s, v_num=17, loss/train=1.000, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▍        | 34/235 [00:07<00:46,  4.31it/s, v_num=17, loss/train=1.000, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  14%|█▍        | 34/235 [00:07<00:46,  4.31it/s, v_num=17, loss/train=0.910, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  15%|█▍        | 35/235 [00:08<00:45,  4.36it/s, v_num=17, loss/train=0.910, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  15%|█▍        | 35/235 [00:08<00:45,  4.36it/s, v_num=17, loss/train=0.905, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  15%|█▌        | 36/235 [00:08<00:45,  4.41it/s, v_num=17, loss/train=0.905, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  15%|█▌        | 36/235 [00:08<00:45,  4.41it/s, v_num=17, loss/train=0.936, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  16%|█▌        | 37/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=0.936, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  16%|█▌        | 37/235 [00:08<00:44,  4.46it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  16%|█▌        | 38/235 [00:08<00:43,  4.48it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  16%|█▌        | 38/235 [00:08<00:43,  4.48it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 39/235 [00:08<00:43,  4.47it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 39/235 [00:08<00:43,  4.47it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 40/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 40/235 [00:08<00:43,  4.51it/s, v_num=17, loss/train=0.828, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 41/235 [00:09<00:42,  4.55it/s, v_num=17, loss/train=0.828, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  17%|█▋        | 41/235 [00:09<00:42,  4.55it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  18%|█▊        | 42/235 [00:09<00:42,  4.59it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  18%|█▊        | 42/235 [00:09<00:42,  4.59it/s, v_num=17, loss/train=0.825, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  18%|█▊        | 43/235 [00:09<00:41,  4.63it/s, v_num=17, loss/train=0.825, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  18%|█▊        | 43/235 [00:09<00:41,  4.63it/s, v_num=17, loss/train=0.918, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  19%|█▊        | 44/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=0.918, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  19%|█▊        | 44/235 [00:09<00:40,  4.66it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  19%|█▉        | 45/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  19%|█▉        | 45/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=0.896, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|█▉        | 46/235 [00:09<00:40,  4.69it/s, v_num=17, loss/train=0.896, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|█▉        | 46/235 [00:09<00:40,  4.69it/s, v_num=17, loss/train=0.850, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|██        | 47/235 [00:10<00:40,  4.69it/s, v_num=17, loss/train=0.850, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|██        | 47/235 [00:10<00:40,  4.69it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|██        | 48/235 [00:10<00:39,  4.71it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  20%|██        | 48/235 [00:10<00:39,  4.71it/s, v_num=17, loss/train=0.811, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  21%|██        | 49/235 [00:10<00:39,  4.74it/s, v_num=17, loss/train=0.811, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  21%|██        | 49/235 [00:10<00:39,  4.74it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  21%|██▏       | 50/235 [00:10<00:38,  4.78it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  21%|██▏       | 50/235 [00:10<00:38,  4.78it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  22%|██▏       | 51/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  22%|██▏       | 51/235 [00:10<00:38,  4.81it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  22%|██▏       | 52/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  22%|██▏       | 52/235 [00:10<00:37,  4.84it/s, v_num=17, loss/train=0.865, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 53/235 [00:10<00:37,  4.82it/s, v_num=17, loss/train=0.865, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 53/235 [00:10<00:37,  4.82it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 54/235 [00:11<00:37,  4.86it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 54/235 [00:11<00:37,  4.86it/s, v_num=17, loss/train=0.911, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 55/235 [00:11<00:36,  4.87it/s, v_num=17, loss/train=0.911, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  23%|██▎       | 55/235 [00:11<00:36,  4.87it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  24%|██▍       | 56/235 [00:11<00:36,  4.91it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  24%|██▍       | 56/235 [00:11<00:36,  4.91it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  24%|██▍       | 57/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  24%|██▍       | 57/235 [00:11<00:36,  4.93it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  25%|██▍       | 58/235 [00:11<00:35,  4.96it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  25%|██▍       | 58/235 [00:11<00:35,  4.96it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  25%|██▌       | 59/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  25%|██▌       | 59/235 [00:11<00:35,  4.97it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▌       | 60/235 [00:11<00:34,  5.00it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▌       | 60/235 [00:11<00:34,  5.00it/s, v_num=17, loss/train=0.862, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▌       | 61/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=0.862, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▌       | 61/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▋       | 62/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  26%|██▋       | 62/235 [00:12<00:34,  5.02it/s, v_num=17, loss/train=0.916, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  27%|██▋       | 63/235 [00:12<00:34,  5.04it/s, v_num=17, loss/train=0.916, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  27%|██▋       | 63/235 [00:12<00:34,  5.04it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  27%|██▋       | 64/235 [00:12<00:33,  5.03it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  27%|██▋       | 64/235 [00:12<00:33,  5.03it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  28%|██▊       | 65/235 [00:12<00:33,  5.06it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  28%|██▊       | 65/235 [00:12<00:33,  5.06it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  28%|██▊       | 66/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  28%|██▊       | 66/235 [00:12<00:33,  5.08it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▊       | 67/235 [00:13<00:32,  5.09it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▊       | 67/235 [00:13<00:32,  5.09it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▉       | 68/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▉       | 68/235 [00:13<00:32,  5.12it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▉       | 69/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  29%|██▉       | 69/235 [00:13<00:32,  5.14it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  30%|██▉       | 70/235 [00:13<00:31,  5.17it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  30%|██▉       | 70/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  30%|███       | 71/235 [00:13<00:31,  5.17it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  30%|███       | 71/235 [00:13<00:31,  5.17it/s, v_num=17, loss/train=0.925, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███       | 72/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=0.925, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███       | 72/235 [00:13<00:31,  5.16it/s, v_num=17, loss/train=0.870, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███       | 73/235 [00:14<00:31,  5.18it/s, v_num=17, loss/train=0.870, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███       | 73/235 [00:14<00:31,  5.18it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███▏      | 74/235 [00:14<00:30,  5.21it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  31%|███▏      | 74/235 [00:14<00:30,  5.21it/s, v_num=17, loss/train=0.908, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  32%|███▏      | 75/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=0.908, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  32%|███▏      | 75/235 [00:14<00:30,  5.22it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  32%|███▏      | 76/235 [00:14<00:30,  5.21it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  32%|███▏      | 76/235 [00:14<00:30,  5.21it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  33%|███▎      | 77/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  33%|███▎      | 77/235 [00:14<00:30,  5.23it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  33%|███▎      | 78/235 [00:14<00:29,  5.25it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  33%|███▎      | 78/235 [00:14<00:29,  5.25it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▎      | 79/235 [00:15<00:29,  5.25it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▎      | 79/235 [00:15<00:29,  5.25it/s, v_num=17, loss/train=0.934, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▍      | 80/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=0.934, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▍      | 80/235 [00:15<00:29,  5.26it/s, v_num=17, loss/train=0.867, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▍      | 81/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=0.867, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  34%|███▍      | 81/235 [00:15<00:29,  5.28it/s, v_num=17, loss/train=0.884, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  35%|███▍      | 82/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=0.884, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  35%|███▍      | 82/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=0.887, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  35%|███▌      | 83/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=0.887, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  35%|███▌      | 83/235 [00:15<00:28,  5.29it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  36%|███▌      | 84/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  36%|███▌      | 84/235 [00:15<00:28,  5.31it/s, v_num=17, loss/train=0.904, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  36%|███▌      | 85/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.904, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  36%|███▌      | 85/235 [00:15<00:28,  5.32it/s, v_num=17, loss/train=0.946, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 86/235 [00:16<00:28,  5.32it/s, v_num=17, loss/train=0.946, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 86/235 [00:16<00:28,  5.32it/s, v_num=17, loss/train=0.922, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 87/235 [00:16<00:27,  5.34it/s, v_num=17, loss/train=0.922, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 87/235 [00:16<00:27,  5.34it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 88/235 [00:16<00:27,  5.34it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  37%|███▋      | 88/235 [00:16<00:27,  5.34it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  38%|███▊      | 89/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  38%|███▊      | 89/235 [00:16<00:27,  5.35it/s, v_num=17, loss/train=0.767, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  38%|███▊      | 90/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.767, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  38%|███▊      | 90/235 [00:16<00:27,  5.37it/s, v_num=17, loss/train=0.894, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  39%|███▊      | 91/235 [00:16<00:26,  5.37it/s, v_num=17, loss/train=0.894, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  39%|███▊      | 91/235 [00:16<00:26,  5.37it/s, v_num=17, loss/train=0.864, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  39%|███▉      | 92/235 [00:17<00:26,  5.36it/s, v_num=17, loss/train=0.864, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  39%|███▉      | 92/235 [00:17<00:26,  5.36it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|███▉      | 93/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=0.958, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|███▉      | 93/235 [00:17<00:26,  5.38it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|████      | 94/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|████      | 94/235 [00:17<00:26,  5.39it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|████      | 95/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  40%|████      | 95/235 [00:17<00:25,  5.40it/s, v_num=17, loss/train=0.910, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  41%|████      | 96/235 [00:17<00:25,  5.41it/s, v_num=17, loss/train=0.910, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  41%|████      | 96/235 [00:17<00:25,  5.41it/s, v_num=17, loss/train=0.920, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  41%|████▏     | 97/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=0.920, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  41%|████▏     | 97/235 [00:17<00:25,  5.42it/s, v_num=17, loss/train=0.906, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  42%|████▏     | 98/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=0.906, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  42%|████▏     | 98/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=0.893, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  42%|████▏     | 99/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=0.893, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  42%|████▏     | 99/235 [00:18<00:25,  5.42it/s, v_num=17, loss/train=0.807, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 100/235 [00:18<00:24,  5.43it/s, v_num=17, loss/train=0.807, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 100/235 [00:18<00:24,  5.43it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 101/235 [00:18<00:24,  5.44it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 101/235 [00:18<00:24,  5.44it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 102/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  43%|████▎     | 102/235 [00:18<00:24,  5.46it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  44%|████▍     | 103/235 [00:18<00:24,  5.48it/s, v_num=17, loss/train=0.839, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  44%|████▍     | 104/235 [00:19<00:23,  5.47it/s, v_num=17, loss/train=0.839, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  44%|████▍     | 104/235 [00:19<00:23,  5.47it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  45%|████▍     | 105/235 [00:19<00:23,  5.48it/s, v_num=17, loss/train=0.948, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  45%|████▍     | 105/235 [00:19<00:23,  5.48it/s, v_num=17, loss/train=0.851, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  45%|████▌     | 106/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=0.851, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  45%|████▌     | 106/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=0.815, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▌     | 107/235 [00:19<00:23,  5.48it/s, v_num=17, loss/train=0.815, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▌     | 107/235 [00:19<00:23,  5.48it/s, v_num=17, loss/train=0.839, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▌     | 108/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=0.839, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▌     | 108/235 [00:19<00:23,  5.49it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▋     | 109/235 [00:19<00:22,  5.50it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  46%|████▋     | 109/235 [00:19<00:22,  5.50it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  47%|████▋     | 110/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  47%|████▋     | 110/235 [00:19<00:22,  5.51it/s, v_num=17, loss/train=0.882, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  47%|████▋     | 111/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=0.882, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  47%|████▋     | 111/235 [00:20<00:22,  5.53it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  48%|████▊     | 112/235 [00:20<00:22,  5.54it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=0.909, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  48%|████▊     | 113/235 [00:20<00:21,  5.56it/s, v_num=17, loss/train=0.832, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▊     | 114/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=0.832, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▊     | 114/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=0.829, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▉     | 115/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=0.829, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▉     | 115/235 [00:20<00:21,  5.53it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▉     | 116/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  49%|████▉     | 116/235 [00:20<00:21,  5.54it/s, v_num=17, loss/train=0.906, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  50%|████▉     | 117/235 [00:21<00:21,  5.55it/s, v_num=17, loss/train=0.906, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  50%|████▉     | 117/235 [00:21<00:21,  5.55it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  50%|█████     | 118/235 [00:21<00:21,  5.56it/s, v_num=17, loss/train=0.883, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  50%|█████     | 118/235 [00:21<00:21,  5.56it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████     | 119/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████     | 119/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.872, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████     | 120/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=0.872, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████     | 120/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=0.831, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████▏    | 121/235 [00:21<00:20,  5.59it/s, v_num=17, loss/train=0.831, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  51%|█████▏    | 121/235 [00:21<00:20,  5.58it/s, v_num=17, loss/train=0.831, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.831, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  52%|█████▏    | 122/235 [00:21<00:20,  5.57it/s, v_num=17, loss/train=0.783, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=0.783, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  52%|█████▏    | 123/235 [00:22<00:20,  5.58it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  53%|█████▎    | 124/235 [00:22<00:19,  5.58it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.913, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  53%|█████▎    | 125/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▎    | 126/235 [00:22<00:19,  5.59it/s, v_num=17, loss/train=0.884, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.884, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▍    | 127/235 [00:22<00:19,  5.60it/s, v_num=17, loss/train=0.857, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▍    | 128/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=0.857, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  54%|█████▍    | 128/235 [00:22<00:19,  5.61it/s, v_num=17, loss/train=0.935, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  55%|█████▍    | 129/235 [00:22<00:18,  5.62it/s, v_num=17, loss/train=0.935, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  55%|█████▍    | 129/235 [00:22<00:18,  5.62it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  55%|█████▌    | 130/235 [00:23<00:18,  5.63it/s, v_num=17, loss/train=0.880, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  55%|█████▌    | 130/235 [00:23<00:18,  5.63it/s, v_num=17, loss/train=0.856, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  56%|█████▌    | 131/235 [00:23<00:18,  5.64it/s, v_num=17, loss/train=0.856, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  56%|█████▌    | 131/235 [00:23<00:18,  5.63it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=0.876, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  56%|█████▌    | 132/235 [00:23<00:18,  5.62it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 133/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 133/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.902, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 134/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.902, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 134/235 [00:23<00:18,  5.61it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 135/235 [00:24<00:17,  5.62it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  57%|█████▋    | 135/235 [00:24<00:17,  5.62it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  58%|█████▊    | 136/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  58%|█████▊    | 136/235 [00:24<00:17,  5.63it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  58%|█████▊    | 137/235 [00:24<00:17,  5.64it/s, v_num=17, loss/train=0.903, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  58%|█████▊    | 137/235 [00:24<00:17,  5.64it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  59%|█████▊    | 138/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  59%|█████▊    | 138/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.936, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  59%|█████▉    | 139/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.936, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  59%|█████▉    | 139/235 [00:24<00:17,  5.65it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|█████▉    | 140/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=0.931, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|█████▉    | 140/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=0.888, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|██████    | 141/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=0.888, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|██████    | 141/235 [00:24<00:16,  5.65it/s, v_num=17, loss/train=0.863, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|██████    | 142/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.863, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  60%|██████    | 142/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.920, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  61%|██████    | 143/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.920, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  61%|██████    | 143/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.887, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  61%|██████▏   | 144/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.887, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  61%|██████▏   | 144/235 [00:25<00:16,  5.66it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  62%|██████▏   | 145/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  62%|██████▏   | 145/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.917, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  62%|██████▏   | 146/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.917, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  62%|██████▏   | 146/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.900, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 147/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.900, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 147/235 [00:25<00:15,  5.67it/s, v_num=17, loss/train=0.960, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 148/235 [00:26<00:15,  5.68it/s, v_num=17, loss/train=0.960, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 148/235 [00:26<00:15,  5.68it/s, v_num=17, loss/train=1.010, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 149/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=1.010, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  63%|██████▎   | 149/235 [00:26<00:15,  5.67it/s, v_num=17, loss/train=0.849, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  64%|██████▍   | 150/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=0.849, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  64%|██████▍   | 150/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  64%|██████▍   | 151/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=0.898, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  64%|██████▍   | 151/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=0.922, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  65%|██████▍   | 152/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=0.922, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  65%|██████▍   | 152/235 [00:26<00:14,  5.68it/s, v_num=17, loss/train=0.927, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  65%|██████▌   | 153/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=0.927, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  65%|██████▌   | 153/235 [00:26<00:14,  5.69it/s, v_num=17, loss/train=1.030, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▌   | 154/235 [00:27<00:14,  5.69it/s, v_num=17, loss/train=1.030, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▌   | 154/235 [00:27<00:14,  5.69it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▌   | 155/235 [00:27<00:14,  5.70it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▌   | 155/235 [00:27<00:14,  5.70it/s, v_num=17, loss/train=0.832, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▋   | 156/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.832, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  66%|██████▋   | 156/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  67%|██████▋   | 157/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.940, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  67%|██████▋   | 157/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.915, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  67%|██████▋   | 158/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.915, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  67%|██████▋   | 158/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.835, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  68%|██████▊   | 159/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.835, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  68%|██████▊   | 159/235 [00:27<00:13,  5.70it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  68%|██████▊   | 160/235 [00:28<00:13,  5.71it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  68%|██████▊   | 160/235 [00:28<00:13,  5.71it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▊   | 161/235 [00:28<00:12,  5.71it/s, v_num=17, loss/train=0.873, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▊   | 161/235 [00:28<00:12,  5.71it/s, v_num=17, loss/train=0.829, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▉   | 162/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=0.829, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▉   | 162/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=0.937, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▉   | 163/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=0.937, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  69%|██████▉   | 163/235 [00:28<00:12,  5.72it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  70%|██████▉   | 164/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.921, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  70%|██████▉   | 164/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.800, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  70%|███████   | 165/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.800, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  70%|███████   | 165/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████   | 166/235 [00:28<00:12,  5.74it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████   | 166/235 [00:28<00:12,  5.73it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████   | 167/235 [00:29<00:11,  5.74it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████   | 167/235 [00:29<00:11,  5.74it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████▏  | 168/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.890, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  71%|███████▏  | 168/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.900, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  72%|███████▏  | 169/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.900, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  72%|███████▏  | 169/235 [00:29<00:11,  5.75it/s, v_num=17, loss/train=0.892, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  72%|███████▏  | 170/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=0.892, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  72%|███████▏  | 170/235 [00:29<00:11,  5.73it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  73%|███████▎  | 171/235 [00:29<00:11,  5.74it/s, v_num=17, loss/train=0.842, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  73%|███████▎  | 171/235 [00:29<00:11,  5.74it/s, v_num=17, loss/train=0.959, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  73%|███████▎  | 172/235 [00:29<00:10,  5.74it/s, v_num=17, loss/train=0.959, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  73%|███████▎  | 172/235 [00:29<00:10,  5.74it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▎  | 173/235 [00:30<00:10,  5.74it/s, v_num=17, loss/train=0.833, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▎  | 173/235 [00:30<00:10,  5.74it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▍  | 174/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▍  | 174/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.856, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▍  | 175/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.856, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  74%|███████▍  | 175/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.905, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  75%|███████▍  | 176/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.905, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  75%|███████▍  | 176/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.904, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.904, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  75%|███████▌  | 177/235 [00:30<00:10,  5.75it/s, v_num=17, loss/train=0.828, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=0.828, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  76%|███████▌  | 178/235 [00:30<00:09,  5.76it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  76%|███████▌  | 179/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=0.886, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  76%|███████▌  | 179/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=0.930, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 180/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=0.930, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 180/235 [00:31<00:09,  5.76it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 181/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 181/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.850, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 182/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.850, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  77%|███████▋  | 182/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  78%|███████▊  | 183/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  78%|███████▊  | 183/235 [00:31<00:09,  5.77it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  78%|███████▊  | 184/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  78%|███████▊  | 184/235 [00:31<00:08,  5.78it/s, v_num=17, loss/train=0.878, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  79%|███████▊  | 185/235 [00:31<00:08,  5.79it/s, v_num=17, loss/train=0.878, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  79%|███████▊  | 185/235 [00:31<00:08,  5.79it/s, v_num=17, loss/train=0.892, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  79%|███████▉  | 186/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.892, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  79%|███████▉  | 186/235 [00:32<00:08,  5.77it/s, v_num=17, loss/train=0.854, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|███████▉  | 187/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.854, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|███████▉  | 187/235 [00:32<00:08,  5.78it/s, v_num=17, loss/train=0.867, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|████████  | 188/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=0.867, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|████████  | 188/235 [00:32<00:08,  5.79it/s, v_num=17, loss/train=0.841, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|████████  | 189/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=0.841, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  80%|████████  | 189/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  81%|████████  | 190/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=0.869, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  81%|████████  | 190/235 [00:32<00:07,  5.79it/s, v_num=17, loss/train=0.878, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  81%|████████▏ | 191/235 [00:32<00:07,  5.80it/s, v_num=17, loss/train=0.878, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  81%|████████▏ | 191/235 [00:32<00:07,  5.80it/s, v_num=17, loss/train=0.914, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  82%|████████▏ | 192/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=0.914, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  82%|████████▏ | 192/235 [00:33<00:07,  5.80it/s, v_num=17, loss/train=0.875, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  82%|████████▏ | 193/235 [00:33<00:07,  5.81it/s, v_num=17, loss/train=0.875, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  82%|████████▏ | 193/235 [00:33<00:07,  5.81it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 194/235 [00:33<00:07,  5.81it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 194/235 [00:33<00:07,  5.81it/s, v_num=17, loss/train=0.837, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 195/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=0.837, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 195/235 [00:33<00:06,  5.81it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 196/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  83%|████████▎ | 196/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=0.897, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  84%|████████▍ | 197/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=0.897, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  84%|████████▍ | 197/235 [00:33<00:06,  5.82it/s, v_num=17, loss/train=0.845, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  84%|████████▍ | 198/235 [00:33<00:06,  5.83it/s, v_num=17, loss/train=0.845, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  84%|████████▍ | 198/235 [00:33<00:06,  5.83it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  85%|████████▍ | 199/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=0.912, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  85%|████████▍ | 199/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  85%|████████▌ | 200/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  85%|████████▌ | 200/235 [00:34<00:06,  5.83it/s, v_num=17, loss/train=0.891, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▌ | 201/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=0.891, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▌ | 201/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▌ | 202/235 [00:34<00:05,  5.84it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▌ | 202/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=0.802, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▋ | 203/235 [00:34<00:05,  5.84it/s, v_num=17, loss/train=0.802, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  86%|████████▋ | 203/235 [00:34<00:05,  5.84it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  87%|████████▋ | 204/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=0.859, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  87%|████████▋ | 204/235 [00:34<00:05,  5.83it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  87%|████████▋ | 205/235 [00:35<00:05,  5.83it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  87%|████████▋ | 205/235 [00:35<00:05,  5.83it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  88%|████████▊ | 206/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  88%|████████▊ | 206/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  88%|████████▊ | 207/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.923, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  88%|████████▊ | 207/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.838, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▊ | 208/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=0.838, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▊ | 208/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.858, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▉ | 209/235 [00:35<00:04,  5.84it/s, v_num=17, loss/train=0.864, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▉ | 210/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=0.864, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  89%|████████▉ | 210/235 [00:35<00:04,  5.85it/s, v_num=17, loss/train=0.840, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  90%|████████▉ | 211/235 [00:36<00:04,  5.84it/s, v_num=17, loss/train=0.840, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  90%|████████▉ | 211/235 [00:36<00:04,  5.84it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=0.852, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  90%|█████████ | 212/235 [00:36<00:03,  5.85it/s, v_num=17, loss/train=0.877, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████ | 213/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.877, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████ | 213/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.877, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████ | 214/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.877, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████ | 214/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.871, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████▏| 215/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.871, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  91%|█████████▏| 215/235 [00:36<00:03,  5.86it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  92%|█████████▏| 216/235 [00:36<00:03,  5.87it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  92%|█████████▏| 216/235 [00:36<00:03,  5.87it/s, v_num=17, loss/train=0.908, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  92%|█████████▏| 217/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=0.908, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  92%|█████████▏| 217/235 [00:36<00:03,  5.88it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=0.853, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  93%|█████████▎| 218/235 [00:37<00:02,  5.89it/s, v_num=17, loss/train=0.805, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=0.805, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  93%|█████████▎| 219/235 [00:37<00:02,  5.90it/s, v_num=17, loss/train=0.935, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=0.935, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▎| 220/235 [00:37<00:02,  5.91it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▍| 221/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=0.889, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▍| 221/235 [00:37<00:02,  5.93it/s, v_num=17, loss/train=0.959, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▍| 222/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=0.959, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  94%|█████████▍| 222/235 [00:37<00:02,  5.94it/s, v_num=17, loss/train=0.917, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  95%|█████████▍| 223/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=0.917, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  95%|█████████▍| 223/235 [00:37<00:02,  5.95it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  95%|█████████▌| 224/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=0.901, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  95%|█████████▌| 224/235 [00:37<00:01,  5.96it/s, v_num=17, loss/train=0.846, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  96%|█████████▌| 225/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=0.846, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  96%|█████████▌| 225/235 [00:37<00:01,  5.97it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=0.879, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  96%|█████████▌| 226/235 [00:37<00:01,  5.98it/s, v_num=17, loss/train=0.836, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=0.836, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 227/235 [00:37<00:01,  5.99it/s, v_num=17, loss/train=0.897, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 228/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=0.897, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 228/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=0.849, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 229/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=0.849, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  97%|█████████▋| 229/235 [00:38<00:00,  6.02it/s, v_num=17, loss/train=0.941, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  98%|█████████▊| 230/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=0.941, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  98%|█████████▊| 230/235 [00:38<00:00,  6.03it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  98%|█████████▊| 231/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=0.932, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  98%|█████████▊| 231/235 [00:38<00:00,  6.04it/s, v_num=17, loss/train=0.881, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  99%|█████████▊| 232/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=0.881, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  99%|█████████▊| 232/235 [00:38<00:00,  6.05it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  99%|█████████▉| 233/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=0.874, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:  99%|█████████▉| 233/235 [00:38<00:00,  6.06it/s, v_num=17, loss/train=0.925, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8: 100%|█████████▉| 234/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=0.925, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8: 100%|█████████▉| 234/235 [00:38<00:00,  6.07it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8: 100%|██████████| 235/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=0.855, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8: 100%|██████████| 235/235 [00:38<00:00,  6.09it/s, v_num=17, loss/train=0.389, loss/val=1.300, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]

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Epoch 8: 100%|██████████| 235/235 [00:43<00:00,  5.40it/s, v_num=17, loss/train=0.389, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8: 100%|██████████| 235/235 [00:43<00:00,  5.40it/s, v_num=17, loss/train=0.389, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 8:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.389, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   0%|          | 0/235 [00:00<?, ?it/s, v_num=17, loss/train=0.389, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   0%|          | 1/235 [00:02<10:08,  0.38it/s, v_num=17, loss/train=0.389, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   0%|          | 1/235 [00:02<10:08,  0.38it/s, v_num=17, loss/train=0.862, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   1%|          | 2/235 [00:02<05:17,  0.73it/s, v_num=17, loss/train=0.862, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   1%|          | 2/235 [00:02<05:18,  0.73it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   1%|▏         | 3/235 [00:02<03:44,  1.03it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   1%|▏         | 3/235 [00:02<03:44,  1.03it/s, v_num=17, loss/train=0.885, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=0.885, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   2%|▏         | 4/235 [00:03<02:55,  1.32it/s, v_num=17, loss/train=0.878, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   2%|▏         | 5/235 [00:03<02:28,  1.55it/s, v_num=17, loss/train=0.878, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   2%|▏         | 5/235 [00:03<02:28,  1.55it/s, v_num=17, loss/train=0.884, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 6/235 [00:03<02:09,  1.77it/s, v_num=17, loss/train=0.884, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 6/235 [00:03<02:09,  1.77it/s, v_num=17, loss/train=0.905, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 7/235 [00:03<01:54,  1.99it/s, v_num=17, loss/train=0.905, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 7/235 [00:03<01:54,  1.99it/s, v_num=17, loss/train=0.814, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 8/235 [00:03<01:44,  2.17it/s, v_num=17, loss/train=0.814, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   3%|▎         | 8/235 [00:03<01:44,  2.17it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   4%|▍         | 9/235 [00:03<01:35,  2.36it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   4%|▍         | 10/235 [00:04<01:30,  2.50it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   4%|▍         | 10/235 [00:04<01:30,  2.50it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   5%|▍         | 11/235 [00:04<01:24,  2.64it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   5%|▍         | 11/235 [00:04<01:24,  2.64it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   5%|▌         | 12/235 [00:04<01:20,  2.78it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   5%|▌         | 12/235 [00:04<01:20,  2.78it/s, v_num=17, loss/train=0.814, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▌         | 13/235 [00:04<01:15,  2.93it/s, v_num=17, loss/train=0.814, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▌         | 13/235 [00:04<01:15,  2.93it/s, v_num=17, loss/train=0.847, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▌         | 14/235 [00:04<01:12,  3.04it/s, v_num=17, loss/train=0.847, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▌         | 14/235 [00:04<01:12,  3.04it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   6%|▋         | 15/235 [00:04<01:10,  3.14it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   7%|▋         | 16/235 [00:05<01:08,  3.19it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   7%|▋         | 16/235 [00:05<01:08,  3.19it/s, v_num=17, loss/train=0.809, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   7%|▋         | 17/235 [00:05<01:05,  3.31it/s, v_num=17, loss/train=0.809, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   7%|▋         | 17/235 [00:05<01:05,  3.31it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   8%|▊         | 18/235 [00:05<01:03,  3.42it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   8%|▊         | 18/235 [00:05<01:03,  3.42it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   8%|▊         | 19/235 [00:05<01:01,  3.51it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   8%|▊         | 19/235 [00:05<01:01,  3.51it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▊         | 20/235 [00:05<00:59,  3.61it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▊         | 20/235 [00:05<00:59,  3.61it/s, v_num=17, loss/train=0.839, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=0.839, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▉         | 21/235 [00:05<00:58,  3.64it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▉         | 22/235 [00:05<00:57,  3.72it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:   9%|▉         | 22/235 [00:05<00:57,  3.72it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  10%|▉         | 23/235 [00:06<00:55,  3.80it/s, v_num=17, loss/train=0.790, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  10%|█         | 24/235 [00:06<00:54,  3.85it/s, v_num=17, loss/train=0.790, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  10%|█         | 24/235 [00:06<00:54,  3.85it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█         | 25/235 [00:06<00:53,  3.93it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█         | 25/235 [00:06<00:53,  3.93it/s, v_num=17, loss/train=0.882, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=0.882, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█         | 26/235 [00:06<00:52,  3.96it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█▏        | 27/235 [00:06<00:51,  4.03it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  11%|█▏        | 27/235 [00:06<00:51,  4.03it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  12%|█▏        | 28/235 [00:06<00:50,  4.10it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  12%|█▏        | 28/235 [00:06<00:50,  4.10it/s, v_num=17, loss/train=0.844, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  12%|█▏        | 29/235 [00:06<00:49,  4.17it/s, v_num=17, loss/train=0.844, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  12%|█▏        | 29/235 [00:06<00:49,  4.17it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  13%|█▎        | 30/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  13%|█▎        | 30/235 [00:07<00:48,  4.22it/s, v_num=17, loss/train=0.922, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  13%|█▎        | 31/235 [00:07<00:48,  4.24it/s, v_num=17, loss/train=0.922, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  13%|█▎        | 31/235 [00:07<00:48,  4.24it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▎        | 32/235 [00:07<00:47,  4.29it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▎        | 32/235 [00:07<00:47,  4.29it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▍        | 33/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▍        | 33/235 [00:07<00:46,  4.33it/s, v_num=17, loss/train=0.853, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▍        | 34/235 [00:07<00:45,  4.39it/s, v_num=17, loss/train=0.853, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  14%|█▍        | 34/235 [00:07<00:45,  4.38it/s, v_num=17, loss/train=0.830, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  15%|█▍        | 35/235 [00:07<00:45,  4.42it/s, v_num=17, loss/train=0.830, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  15%|█▍        | 35/235 [00:07<00:45,  4.42it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  15%|█▌        | 36/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  15%|█▌        | 36/235 [00:08<00:44,  4.44it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  16%|█▌        | 37/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  16%|█▌        | 37/235 [00:08<00:44,  4.48it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  16%|█▌        | 38/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  16%|█▌        | 38/235 [00:08<00:43,  4.50it/s, v_num=17, loss/train=0.897, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=0.897, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 39/235 [00:08<00:43,  4.54it/s, v_num=17, loss/train=0.823, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 40/235 [00:08<00:42,  4.56it/s, v_num=17, loss/train=0.823, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 40/235 [00:08<00:42,  4.56it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 41/235 [00:08<00:42,  4.60it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  17%|█▋        | 41/235 [00:08<00:42,  4.60it/s, v_num=17, loss/train=0.751, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  18%|█▊        | 42/235 [00:09<00:41,  4.64it/s, v_num=17, loss/train=0.751, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  18%|█▊        | 42/235 [00:09<00:41,  4.64it/s, v_num=17, loss/train=0.772, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  18%|█▊        | 43/235 [00:09<00:41,  4.68it/s, v_num=17, loss/train=0.772, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  18%|█▊        | 43/235 [00:09<00:41,  4.68it/s, v_num=17, loss/train=0.810, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  19%|█▊        | 44/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=0.810, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  19%|█▊        | 44/235 [00:09<00:40,  4.70it/s, v_num=17, loss/train=0.799, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  19%|█▉        | 45/235 [00:09<00:40,  4.74it/s, v_num=17, loss/train=0.799, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  19%|█▉        | 45/235 [00:09<00:40,  4.74it/s, v_num=17, loss/train=0.832, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|█▉        | 46/235 [00:09<00:39,  4.75it/s, v_num=17, loss/train=0.832, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|█▉        | 46/235 [00:09<00:39,  4.75it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|██        | 47/235 [00:09<00:39,  4.78it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|██        | 47/235 [00:09<00:39,  4.78it/s, v_num=17, loss/train=0.758, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|██        | 48/235 [00:09<00:38,  4.81it/s, v_num=17, loss/train=0.758, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  20%|██        | 48/235 [00:09<00:38,  4.81it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  21%|██        | 49/235 [00:10<00:38,  4.84it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  21%|██        | 49/235 [00:10<00:38,  4.84it/s, v_num=17, loss/train=0.896, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  21%|██▏       | 50/235 [00:10<00:37,  4.87it/s, v_num=17, loss/train=0.896, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  21%|██▏       | 50/235 [00:10<00:37,  4.87it/s, v_num=17, loss/train=0.859, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  22%|██▏       | 51/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=0.859, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  22%|██▏       | 51/235 [00:10<00:37,  4.86it/s, v_num=17, loss/train=0.880, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  22%|██▏       | 52/235 [00:10<00:37,  4.90it/s, v_num=17, loss/train=0.880, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  22%|██▏       | 52/235 [00:10<00:37,  4.90it/s, v_num=17, loss/train=0.787, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 53/235 [00:10<00:36,  4.93it/s, v_num=17, loss/train=0.787, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 53/235 [00:10<00:36,  4.93it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 54/235 [00:10<00:36,  4.96it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 54/235 [00:10<00:36,  4.96it/s, v_num=17, loss/train=0.780, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 55/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=0.780, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  23%|██▎       | 55/235 [00:11<00:36,  4.95it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  24%|██▍       | 56/235 [00:11<00:36,  4.97it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  24%|██▍       | 56/235 [00:11<00:36,  4.97it/s, v_num=17, loss/train=0.898, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  24%|██▍       | 57/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=0.898, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  24%|██▍       | 57/235 [00:11<00:35,  4.99it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  25%|██▍       | 58/235 [00:11<00:35,  5.02it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  25%|██▍       | 58/235 [00:11<00:35,  5.02it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  25%|██▌       | 59/235 [00:11<00:35,  5.03it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  25%|██▌       | 59/235 [00:11<00:35,  5.03it/s, v_num=17, loss/train=0.915, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▌       | 60/235 [00:11<00:34,  5.05it/s, v_num=17, loss/train=0.915, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▌       | 60/235 [00:11<00:34,  5.05it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▌       | 61/235 [00:11<00:34,  5.08it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▌       | 61/235 [00:11<00:34,  5.08it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▋       | 62/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=0.870, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  26%|██▋       | 62/235 [00:12<00:33,  5.11it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  27%|██▋       | 63/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  27%|██▋       | 63/235 [00:12<00:33,  5.13it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  27%|██▋       | 64/235 [00:12<00:33,  5.15it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  27%|██▋       | 64/235 [00:12<00:33,  5.15it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  28%|██▊       | 65/235 [00:12<00:32,  5.15it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  28%|██▊       | 65/235 [00:12<00:32,  5.15it/s, v_num=17, loss/train=0.826, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  28%|██▊       | 66/235 [00:12<00:32,  5.15it/s, v_num=17, loss/train=0.826, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  28%|██▊       | 66/235 [00:12<00:32,  5.15it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▊       | 67/235 [00:12<00:32,  5.16it/s, v_num=17, loss/train=0.869, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▊       | 67/235 [00:12<00:32,  5.16it/s, v_num=17, loss/train=0.766, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▉       | 68/235 [00:13<00:32,  5.18it/s, v_num=17, loss/train=0.766, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▉       | 68/235 [00:13<00:32,  5.18it/s, v_num=17, loss/train=0.856, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▉       | 69/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=0.856, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  29%|██▉       | 69/235 [00:13<00:31,  5.19it/s, v_num=17, loss/train=0.761, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  30%|██▉       | 70/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=0.761, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  30%|██▉       | 70/235 [00:13<00:31,  5.20it/s, v_num=17, loss/train=0.849, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  30%|███       | 71/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=0.849, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  30%|███       | 71/235 [00:13<00:31,  5.22it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███       | 72/235 [00:13<00:31,  5.24it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███       | 72/235 [00:13<00:31,  5.24it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███       | 73/235 [00:13<00:30,  5.24it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███       | 73/235 [00:13<00:30,  5.24it/s, v_num=17, loss/train=0.790, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███▏      | 74/235 [00:14<00:30,  5.27it/s, v_num=17, loss/train=0.790, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  31%|███▏      | 74/235 [00:14<00:30,  5.27it/s, v_num=17, loss/train=0.883, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  32%|███▏      | 75/235 [00:14<00:30,  5.29it/s, v_num=17, loss/train=0.883, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  32%|███▏      | 75/235 [00:14<00:30,  5.29it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  32%|███▏      | 76/235 [00:14<00:30,  5.28it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  32%|███▏      | 76/235 [00:14<00:30,  5.28it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  33%|███▎      | 77/235 [00:14<00:29,  5.30it/s, v_num=17, loss/train=0.827, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  33%|███▎      | 77/235 [00:14<00:29,  5.30it/s, v_num=17, loss/train=0.829, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  33%|███▎      | 78/235 [00:14<00:29,  5.32it/s, v_num=17, loss/train=0.829, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  33%|███▎      | 78/235 [00:14<00:29,  5.32it/s, v_num=17, loss/train=0.854, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▎      | 79/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=0.854, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▎      | 79/235 [00:14<00:29,  5.33it/s, v_num=17, loss/train=0.797, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▍      | 80/235 [00:15<00:29,  5.32it/s, v_num=17, loss/train=0.797, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▍      | 80/235 [00:15<00:29,  5.32it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▍      | 81/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  34%|███▍      | 81/235 [00:15<00:28,  5.34it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  35%|███▍      | 82/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.818, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  35%|███▍      | 82/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  35%|███▌      | 83/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  35%|███▌      | 83/235 [00:15<00:28,  5.35it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  36%|███▌      | 84/235 [00:15<00:28,  5.37it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  36%|███▌      | 84/235 [00:15<00:28,  5.37it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  36%|███▌      | 85/235 [00:15<00:27,  5.38it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  36%|███▌      | 85/235 [00:15<00:27,  5.38it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 86/235 [00:15<00:27,  5.39it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 86/235 [00:15<00:27,  5.39it/s, v_num=17, loss/train=0.868, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 87/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=0.868, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 87/235 [00:16<00:27,  5.39it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 88/235 [00:16<00:27,  5.41it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  37%|███▋      | 88/235 [00:16<00:27,  5.41it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  38%|███▊      | 89/235 [00:16<00:26,  5.42it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  38%|███▊      | 89/235 [00:16<00:26,  5.42it/s, v_num=17, loss/train=0.868, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  38%|███▊      | 90/235 [00:16<00:26,  5.43it/s, v_num=17, loss/train=0.868, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  38%|███▊      | 90/235 [00:16<00:26,  5.43it/s, v_num=17, loss/train=0.835, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  39%|███▊      | 91/235 [00:16<00:26,  5.44it/s, v_num=17, loss/train=0.835, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  39%|███▊      | 91/235 [00:16<00:26,  5.44it/s, v_num=17, loss/train=0.864, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  39%|███▉      | 92/235 [00:16<00:26,  5.46it/s, v_num=17, loss/train=0.864, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  39%|███▉      | 92/235 [00:16<00:26,  5.46it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|███▉      | 93/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|███▉      | 93/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=0.815, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|████      | 94/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=0.815, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|████      | 94/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=0.854, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|████      | 95/235 [00:17<00:25,  5.48it/s, v_num=17, loss/train=0.854, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  40%|████      | 95/235 [00:17<00:25,  5.47it/s, v_num=17, loss/train=0.853, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  41%|████      | 96/235 [00:17<00:25,  5.49it/s, v_num=17, loss/train=0.853, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  41%|████      | 96/235 [00:17<00:25,  5.49it/s, v_num=17, loss/train=0.851, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  41%|████▏     | 97/235 [00:17<00:25,  5.50it/s, v_num=17, loss/train=0.851, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  41%|████▏     | 97/235 [00:17<00:25,  5.50it/s, v_num=17, loss/train=0.847, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  42%|████▏     | 98/235 [00:17<00:24,  5.52it/s, v_num=17, loss/train=0.847, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  42%|████▏     | 98/235 [00:17<00:24,  5.52it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  42%|████▏     | 99/235 [00:17<00:24,  5.54it/s, v_num=17, loss/train=0.831, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  42%|████▏     | 99/235 [00:17<00:24,  5.54it/s, v_num=17, loss/train=0.802, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 100/235 [00:18<00:24,  5.55it/s, v_num=17, loss/train=0.802, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 100/235 [00:18<00:24,  5.55it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 101/235 [00:18<00:24,  5.56it/s, v_num=17, loss/train=0.840, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 101/235 [00:18<00:24,  5.56it/s, v_num=17, loss/train=0.841, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 102/235 [00:18<00:23,  5.56it/s, v_num=17, loss/train=0.841, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  43%|████▎     | 102/235 [00:18<00:23,  5.56it/s, v_num=17, loss/train=0.907, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  44%|████▍     | 103/235 [00:18<00:23,  5.54it/s, v_num=17, loss/train=0.907, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  44%|████▍     | 103/235 [00:18<00:23,  5.54it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  44%|████▍     | 104/235 [00:18<00:23,  5.55it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  44%|████▍     | 104/235 [00:18<00:23,  5.55it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  45%|████▍     | 105/235 [00:18<00:23,  5.56it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  45%|████▍     | 105/235 [00:18<00:23,  5.56it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  45%|████▌     | 106/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  45%|████▌     | 106/235 [00:19<00:23,  5.54it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▌     | 107/235 [00:19<00:23,  5.55it/s, v_num=17, loss/train=0.817, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▌     | 107/235 [00:19<00:23,  5.55it/s, v_num=17, loss/train=0.781, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▌     | 108/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=0.781, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▌     | 108/235 [00:19<00:22,  5.56it/s, v_num=17, loss/train=0.803, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▋     | 109/235 [00:19<00:22,  5.57it/s, v_num=17, loss/train=0.803, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  46%|████▋     | 109/235 [00:19<00:22,  5.57it/s, v_num=17, loss/train=0.913, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  47%|████▋     | 110/235 [00:19<00:22,  5.58it/s, v_num=17, loss/train=0.913, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  47%|████▋     | 110/235 [00:19<00:22,  5.58it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  47%|████▋     | 111/235 [00:19<00:22,  5.59it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  47%|████▋     | 111/235 [00:19<00:22,  5.59it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  48%|████▊     | 112/235 [00:20<00:21,  5.60it/s, v_num=17, loss/train=0.836, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  48%|████▊     | 112/235 [00:20<00:21,  5.60it/s, v_num=17, loss/train=0.734, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  48%|████▊     | 113/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=0.734, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  48%|████▊     | 113/235 [00:20<00:21,  5.59it/s, v_num=17, loss/train=0.798, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▊     | 114/235 [00:20<00:21,  5.60it/s, v_num=17, loss/train=0.798, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▊     | 114/235 [00:20<00:21,  5.60it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▉     | 115/235 [00:20<00:21,  5.61it/s, v_num=17, loss/train=0.845, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▉     | 115/235 [00:20<00:21,  5.61it/s, v_num=17, loss/train=0.867, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▉     | 116/235 [00:20<00:21,  5.61it/s, v_num=17, loss/train=0.867, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  49%|████▉     | 116/235 [00:20<00:21,  5.61it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  50%|████▉     | 117/235 [00:20<00:20,  5.62it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  50%|████▉     | 117/235 [00:20<00:20,  5.62it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  50%|█████     | 118/235 [00:20<00:20,  5.63it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  50%|█████     | 118/235 [00:20<00:20,  5.63it/s, v_num=17, loss/train=0.848, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████     | 119/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=0.848, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████     | 119/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████     | 120/235 [00:21<00:20,  5.63it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████     | 120/235 [00:21<00:20,  5.63it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████▏    | 121/235 [00:21<00:20,  5.64it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  51%|█████▏    | 121/235 [00:21<00:20,  5.64it/s, v_num=17, loss/train=0.863, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  52%|█████▏    | 122/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=0.863, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  52%|█████▏    | 122/235 [00:21<00:20,  5.65it/s, v_num=17, loss/train=0.746, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  52%|█████▏    | 123/235 [00:21<00:19,  5.64it/s, v_num=17, loss/train=0.746, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  52%|█████▏    | 123/235 [00:21<00:19,  5.64it/s, v_num=17, loss/train=0.793, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  53%|█████▎    | 124/235 [00:21<00:19,  5.65it/s, v_num=17, loss/train=0.793, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  53%|█████▎    | 124/235 [00:21<00:19,  5.65it/s, v_num=17, loss/train=0.874, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  53%|█████▎    | 125/235 [00:22<00:19,  5.66it/s, v_num=17, loss/train=0.874, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  53%|█████▎    | 125/235 [00:22<00:19,  5.66it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▎    | 126/235 [00:22<00:19,  5.67it/s, v_num=17, loss/train=0.837, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▎    | 126/235 [00:22<00:19,  5.66it/s, v_num=17, loss/train=0.864, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▍    | 127/235 [00:22<00:19,  5.67it/s, v_num=17, loss/train=0.864, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▍    | 127/235 [00:22<00:19,  5.67it/s, v_num=17, loss/train=0.798, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▍    | 128/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=0.798, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  54%|█████▍    | 128/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=0.860, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  55%|█████▍    | 129/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=0.860, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  55%|█████▍    | 129/235 [00:22<00:18,  5.66it/s, v_num=17, loss/train=0.783, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  55%|█████▌    | 130/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=0.783, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  55%|█████▌    | 130/235 [00:22<00:18,  5.67it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  56%|█████▌    | 131/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  56%|█████▌    | 131/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=0.888, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  56%|█████▌    | 132/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=0.888, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  56%|█████▌    | 132/235 [00:23<00:18,  5.68it/s, v_num=17, loss/train=0.812, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 133/235 [00:23<00:17,  5.69it/s, v_num=17, loss/train=0.812, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 133/235 [00:23<00:17,  5.69it/s, v_num=17, loss/train=0.771, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 134/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.771, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 134/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 135/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  57%|█████▋    | 135/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  58%|█████▊    | 136/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  58%|█████▊    | 136/235 [00:23<00:17,  5.70it/s, v_num=17, loss/train=0.810, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  58%|█████▊    | 137/235 [00:24<00:17,  5.71it/s, v_num=17, loss/train=0.810, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  58%|█████▊    | 137/235 [00:24<00:17,  5.71it/s, v_num=17, loss/train=0.832, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  59%|█████▊    | 138/235 [00:24<00:16,  5.71it/s, v_num=17, loss/train=0.832, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  59%|█████▊    | 138/235 [00:24<00:16,  5.71it/s, v_num=17, loss/train=0.914, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  59%|█████▉    | 139/235 [00:24<00:16,  5.71it/s, v_num=17, loss/train=0.914, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  59%|█████▉    | 139/235 [00:24<00:16,  5.71it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|█████▉    | 140/235 [00:24<00:16,  5.72it/s, v_num=17, loss/train=0.887, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|█████▉    | 140/235 [00:24<00:16,  5.72it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|██████    | 141/235 [00:24<00:16,  5.73it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|██████    | 141/235 [00:24<00:16,  5.73it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|██████    | 142/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  60%|██████    | 142/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  61%|██████    | 143/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=0.789, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  61%|██████    | 143/235 [00:24<00:16,  5.74it/s, v_num=17, loss/train=0.763, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  61%|██████▏   | 144/235 [00:25<00:15,  5.75it/s, v_num=17, loss/train=0.763, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  61%|██████▏   | 144/235 [00:25<00:15,  5.75it/s, v_num=17, loss/train=0.892, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  62%|██████▏   | 145/235 [00:25<00:15,  5.76it/s, v_num=17, loss/train=0.892, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  62%|██████▏   | 145/235 [00:25<00:15,  5.76it/s, v_num=17, loss/train=0.906, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  62%|██████▏   | 146/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.906, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  62%|██████▏   | 146/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.791, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 147/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.791, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 147/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 148/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 148/235 [00:25<00:15,  5.77it/s, v_num=17, loss/train=0.857, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 149/235 [00:25<00:14,  5.76it/s, v_num=17, loss/train=0.857, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  63%|██████▎   | 149/235 [00:25<00:14,  5.76it/s, v_num=17, loss/train=0.812, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  64%|██████▍   | 150/235 [00:26<00:14,  5.76it/s, v_num=17, loss/train=0.812, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  64%|██████▍   | 150/235 [00:26<00:14,  5.76it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  64%|██████▍   | 151/235 [00:26<00:14,  5.77it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  64%|██████▍   | 151/235 [00:26<00:14,  5.77it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  65%|██████▍   | 152/235 [00:26<00:14,  5.78it/s, v_num=17, loss/train=0.819, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  65%|██████▍   | 152/235 [00:26<00:14,  5.78it/s, v_num=17, loss/train=0.771, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  65%|██████▌   | 153/235 [00:26<00:14,  5.77it/s, v_num=17, loss/train=0.771, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  65%|██████▌   | 153/235 [00:26<00:14,  5.77it/s, v_num=17, loss/train=0.834, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▌   | 154/235 [00:26<00:14,  5.78it/s, v_num=17, loss/train=0.834, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▌   | 154/235 [00:26<00:14,  5.78it/s, v_num=17, loss/train=0.834, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▌   | 155/235 [00:26<00:13,  5.79it/s, v_num=17, loss/train=0.834, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▌   | 155/235 [00:26<00:13,  5.79it/s, v_num=17, loss/train=0.808, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▋   | 156/235 [00:26<00:13,  5.79it/s, v_num=17, loss/train=0.808, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  66%|██████▋   | 156/235 [00:26<00:13,  5.79it/s, v_num=17, loss/train=0.844, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  67%|██████▋   | 157/235 [00:27<00:13,  5.78it/s, v_num=17, loss/train=0.844, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  67%|██████▋   | 157/235 [00:27<00:13,  5.78it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  67%|██████▋   | 158/235 [00:27<00:13,  5.78it/s, v_num=17, loss/train=0.846, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  67%|██████▋   | 158/235 [00:27<00:13,  5.78it/s, v_num=17, loss/train=0.769, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  68%|██████▊   | 159/235 [00:27<00:13,  5.79it/s, v_num=17, loss/train=0.769, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  68%|██████▊   | 159/235 [00:27<00:13,  5.79it/s, v_num=17, loss/train=0.797, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  68%|██████▊   | 160/235 [00:27<00:12,  5.80it/s, v_num=17, loss/train=0.797, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  68%|██████▊   | 160/235 [00:27<00:12,  5.80it/s, v_num=17, loss/train=0.731, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▊   | 161/235 [00:27<00:12,  5.80it/s, v_num=17, loss/train=0.731, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▊   | 161/235 [00:27<00:12,  5.80it/s, v_num=17, loss/train=0.805, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▉   | 162/235 [00:27<00:12,  5.81it/s, v_num=17, loss/train=0.805, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▉   | 162/235 [00:27<00:12,  5.81it/s, v_num=17, loss/train=0.835, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▉   | 163/235 [00:28<00:12,  5.81it/s, v_num=17, loss/train=0.835, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  69%|██████▉   | 163/235 [00:28<00:12,  5.81it/s, v_num=17, loss/train=0.720, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  70%|██████▉   | 164/235 [00:28<00:12,  5.82it/s, v_num=17, loss/train=0.720, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  70%|██████▉   | 164/235 [00:28<00:12,  5.82it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  70%|███████   | 165/235 [00:28<00:12,  5.82it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  70%|███████   | 165/235 [00:28<00:12,  5.82it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████   | 166/235 [00:28<00:11,  5.82it/s, v_num=17, loss/train=0.795, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████   | 166/235 [00:28<00:11,  5.82it/s, v_num=17, loss/train=0.740, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████   | 167/235 [00:28<00:11,  5.83it/s, v_num=17, loss/train=0.740, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████   | 167/235 [00:28<00:11,  5.83it/s, v_num=17, loss/train=0.784, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████▏  | 168/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=0.784, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  71%|███████▏  | 168/235 [00:28<00:11,  5.80it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  72%|███████▏  | 169/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  72%|███████▏  | 169/235 [00:29<00:11,  5.80it/s, v_num=17, loss/train=0.822, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  72%|███████▏  | 170/235 [00:29<00:11,  5.81it/s, v_num=17, loss/train=0.822, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  72%|███████▏  | 170/235 [00:29<00:11,  5.81it/s, v_num=17, loss/train=0.792, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  73%|███████▎  | 171/235 [00:29<00:11,  5.81it/s, v_num=17, loss/train=0.792, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  73%|███████▎  | 171/235 [00:29<00:11,  5.81it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  73%|███████▎  | 172/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  73%|███████▎  | 172/235 [00:29<00:10,  5.81it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▎  | 173/235 [00:29<00:10,  5.82it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▎  | 173/235 [00:29<00:10,  5.82it/s, v_num=17, loss/train=0.794, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▍  | 174/235 [00:29<00:10,  5.83it/s, v_num=17, loss/train=0.794, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▍  | 174/235 [00:29<00:10,  5.83it/s, v_num=17, loss/train=0.755, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▍  | 175/235 [00:30<00:10,  5.82it/s, v_num=17, loss/train=0.755, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  74%|███████▍  | 175/235 [00:30<00:10,  5.82it/s, v_num=17, loss/train=0.787, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  75%|███████▍  | 176/235 [00:30<00:10,  5.83it/s, v_num=17, loss/train=0.787, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  75%|███████▍  | 176/235 [00:30<00:10,  5.83it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  75%|███████▌  | 177/235 [00:30<00:09,  5.84it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  75%|███████▌  | 177/235 [00:30<00:09,  5.84it/s, v_num=17, loss/train=0.793, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  76%|███████▌  | 178/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.793, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  76%|███████▌  | 178/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.802, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  76%|███████▌  | 179/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.802, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  76%|███████▌  | 179/235 [00:30<00:09,  5.83it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 180/235 [00:30<00:09,  5.84it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 180/235 [00:30<00:09,  5.84it/s, v_num=17, loss/train=0.821, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 181/235 [00:30<00:09,  5.85it/s, v_num=17, loss/train=0.821, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 181/235 [00:30<00:09,  5.85it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 182/235 [00:31<00:09,  5.84it/s, v_num=17, loss/train=0.824, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  77%|███████▋  | 182/235 [00:31<00:09,  5.84it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  78%|███████▊  | 183/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  78%|███████▊  | 183/235 [00:31<00:08,  5.84it/s, v_num=17, loss/train=0.763, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  78%|███████▊  | 184/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.763, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  78%|███████▊  | 184/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  79%|███████▊  | 185/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.828, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  79%|███████▊  | 185/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.821, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  79%|███████▉  | 186/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.821, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  79%|███████▉  | 186/235 [00:31<00:08,  5.85it/s, v_num=17, loss/train=0.726, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|███████▉  | 187/235 [00:31<00:08,  5.86it/s, v_num=17, loss/train=0.726, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|███████▉  | 187/235 [00:31<00:08,  5.86it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|████████  | 188/235 [00:32<00:08,  5.86it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|████████  | 188/235 [00:32<00:08,  5.86it/s, v_num=17, loss/train=0.823, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|████████  | 189/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=0.823, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  80%|████████  | 189/235 [00:32<00:07,  5.86it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  81%|████████  | 190/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  81%|████████  | 190/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  81%|████████▏ | 191/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  81%|████████▏ | 191/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.801, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  82%|████████▏ | 192/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.801, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  82%|████████▏ | 192/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  82%|████████▏ | 193/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  82%|████████▏ | 193/235 [00:32<00:07,  5.87it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 194/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 194/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.738, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 195/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.738, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 195/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.772, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 196/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.772, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  83%|████████▎ | 196/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.756, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  84%|████████▍ | 197/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.756, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  84%|████████▍ | 197/235 [00:33<00:06,  5.87it/s, v_num=17, loss/train=0.859, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  84%|████████▍ | 198/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.859, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  84%|████████▍ | 198/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.856, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  85%|████████▍ | 199/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.856, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  85%|████████▍ | 199/235 [00:33<00:06,  5.88it/s, v_num=17, loss/train=0.754, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  85%|████████▌ | 200/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.754, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  85%|████████▌ | 200/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.769, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▌ | 201/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.769, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▌ | 201/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▌ | 202/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.820, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▌ | 202/235 [00:34<00:05,  5.88it/s, v_num=17, loss/train=0.792, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▋ | 203/235 [00:34<00:05,  5.89it/s, v_num=17, loss/train=0.792, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  86%|████████▋ | 203/235 [00:34<00:05,  5.89it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  87%|████████▋ | 204/235 [00:34<00:05,  5.89it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  87%|████████▋ | 204/235 [00:34<00:05,  5.89it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  87%|████████▋ | 205/235 [00:34<00:05,  5.90it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  87%|████████▋ | 205/235 [00:34<00:05,  5.90it/s, v_num=17, loss/train=0.753, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  88%|████████▊ | 206/235 [00:34<00:04,  5.91it/s, v_num=17, loss/train=0.753, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  88%|████████▊ | 206/235 [00:34<00:04,  5.90it/s, v_num=17, loss/train=0.791, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  88%|████████▊ | 207/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.791, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  88%|████████▊ | 207/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▊ | 208/235 [00:35<00:04,  5.90it/s, v_num=17, loss/train=0.843, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▊ | 208/235 [00:35<00:04,  5.90it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▉ | 209/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▉ | 209/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.750, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▉ | 210/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.750, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  89%|████████▉ | 210/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.765, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  90%|████████▉ | 211/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.765, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  90%|████████▉ | 211/235 [00:35<00:04,  5.91it/s, v_num=17, loss/train=0.746, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  90%|█████████ | 212/235 [00:35<00:03,  5.91it/s, v_num=17, loss/train=0.746, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  90%|█████████ | 212/235 [00:35<00:03,  5.91it/s, v_num=17, loss/train=0.758, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████ | 213/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.758, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████ | 213/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.811, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████ | 214/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.811, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████ | 214/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.826, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████▏| 215/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.826, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  91%|█████████▏| 215/235 [00:36<00:03,  5.92it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  92%|█████████▏| 216/235 [00:36<00:03,  5.93it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  92%|█████████▏| 216/235 [00:36<00:03,  5.93it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  92%|█████████▏| 217/235 [00:36<00:03,  5.94it/s, v_num=17, loss/train=0.838, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  92%|█████████▏| 217/235 [00:36<00:03,  5.94it/s, v_num=17, loss/train=0.785, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  93%|█████████▎| 218/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=0.785, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  93%|█████████▎| 218/235 [00:36<00:02,  5.95it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  93%|█████████▎| 219/235 [00:36<00:02,  5.96it/s, v_num=17, loss/train=0.796, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  93%|█████████▎| 219/235 [00:36<00:02,  5.96it/s, v_num=17, loss/train=0.727, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▎| 220/235 [00:36<00:02,  5.97it/s, v_num=17, loss/train=0.727, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▎| 220/235 [00:36<00:02,  5.97it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▍| 221/235 [00:36<00:02,  5.98it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▍| 221/235 [00:36<00:02,  5.98it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▍| 222/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=0.770, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  94%|█████████▍| 222/235 [00:37<00:02,  5.99it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  95%|█████████▍| 223/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=0.779, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  95%|█████████▍| 223/235 [00:37<00:01,  6.01it/s, v_num=17, loss/train=0.775, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  95%|█████████▌| 224/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=0.775, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  95%|█████████▌| 224/235 [00:37<00:01,  6.02it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  96%|█████████▌| 225/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=0.800, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  96%|█████████▌| 225/235 [00:37<00:01,  6.03it/s, v_num=17, loss/train=0.736, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  96%|█████████▌| 226/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=0.736, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  96%|█████████▌| 226/235 [00:37<00:01,  6.04it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 227/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=0.788, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 227/235 [00:37<00:01,  6.05it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 228/235 [00:37<00:01,  6.06it/s, v_num=17, loss/train=0.816, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 228/235 [00:37<00:01,  6.06it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 229/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=0.786, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  97%|█████████▋| 229/235 [00:37<00:00,  6.08it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  98%|█████████▊| 230/235 [00:37<00:00,  6.09it/s, v_num=17, loss/train=0.773, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  98%|█████████▊| 230/235 [00:37<00:00,  6.09it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  98%|█████████▊| 231/235 [00:37<00:00,  6.10it/s, v_num=17, loss/train=0.861, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  98%|█████████▊| 231/235 [00:37<00:00,  6.10it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  99%|█████████▊| 232/235 [00:37<00:00,  6.11it/s, v_num=17, loss/train=0.852, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  99%|█████████▊| 232/235 [00:37<00:00,  6.11it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  99%|█████████▉| 233/235 [00:38<00:00,  6.12it/s, v_num=17, loss/train=0.804, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9:  99%|█████████▉| 233/235 [00:38<00:00,  6.12it/s, v_num=17, loss/train=0.822, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9: 100%|█████████▉| 234/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=0.822, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9: 100%|█████████▉| 234/235 [00:38<00:00,  6.13it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9: 100%|██████████| 235/235 [00:38<00:00,  6.15it/s, v_num=17, loss/train=0.825, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]
Epoch 9: 100%|██████████| 235/235 [00:38<00:00,  6.15it/s, v_num=17, loss/train=0.328, loss/val=1.190, alignment/val=0.120, uniformity/val=-3.33, contrastive_acc/val=0.700]

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Epoch 9: 100%|██████████| 235/235 [00:44<00:00,  5.34it/s, v_num=17, loss/train=0.328, loss/val=1.130, alignment/val=0.119, uniformity/val=-3.44, contrastive_acc/val=0.750]
Epoch 9: 100%|██████████| 235/235 [00:44<00:00,  5.34it/s, v_num=17, loss/train=0.328, loss/val=1.130, alignment/val=0.119, uniformity/val=-3.44, contrastive_acc/val=0.750]
Epoch 9: 100%|██████████| 235/235 [00:44<00:00,  5.34it/s, v_num=17, loss/train=0.328, loss/val=1.130, alignment/val=0.119, uniformity/val=-3.44, contrastive_acc/val=0.750]

SimCLR(
  (encoder): LeNet(
    (conv1): Conv2d(1, 6, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2))
    (pool1): AvgPool2d(kernel_size=2, stride=2, padding=0)
    (conv2): Conv2d(6, 16, kernel_size=(5, 5), stride=(1, 1))
    (pool2): AvgPool2d(kernel_size=2, stride=2, padding=0)
    (fc1): Linear(in_features=400, out_features=120, bias=True)
    (fc2): Linear(in_features=120, out_features=84, bias=True)
    (fc3): Linear(in_features=84, out_features=32, bias=True)
  )
  (projection_head): SimCLRProjectionHead(
    (layers): Sequential(
      (0): Linear(in_features=32, out_features=32, bias=True)
      (1): ReLU()
      (2): Linear(in_features=32, out_features=32, bias=True)
    )
  )
  (loss): InfoNCE(temperature=0.1)
)

Visualization of the self-supervised metrics during training

As before, we visualize the logged metrics using tensorboard.

def get_last_log_version(logs_dir="lightning_logs"):
    versions = []
    for d in os.listdir(logs_dir):
        match = re.match(r"version_(\d+)", d)
        if match:
            versions.append(int(match.group(1)))
    return max(versions) if versions else None


log_dir = f"lightning_logs/version_{get_last_log_version()}/"
ea = event_accumulator.EventAccumulator(log_dir)
ea.Reload()
metrics = ["alignment/val", "uniformity/val", "contrastive_acc/val"]
scalars = {m: ea.Scalars(m) for m in metrics}

Once all the metrics are loaded, we plot them as the number of training steps increases:

num_metrics = len(scalars)
fig, axes = plt.subplots(1, num_metrics, figsize=(3 * num_metrics, 3))

for ax, (metric_name, events) in zip(axes, scalars.items()):
    steps = [e.step for e in events]
    values = [e.value for e in events]

    ax.plot(steps, values, marker="o", linestyle="-")
    ax.set_title(metric_name.split("/")[0].capitalize())
    ax.set_xlabel(f"Steps (batch size={batch_size})")
    ax.set_ylabel(metric_name)
    ax.grid(True, alpha=0.3)

plt.suptitle("Self-supervised metrics during training", fontsize="x-large")
plt.tight_layout()
plt.show()

Estimated memory usage: 2321 MB