Note

Go to the end to download the full example code.

K-Fold Cross-Validation: Binary Classification๏ƒ

๐Ÿš€ In this tutorial, weโ€™ll explore binary classification using K-fold cross validation. Weโ€™ll show you how to train a fusion model using K-Fold cross-validation with multimodal tabular data. Specifically, weโ€™re using the TabularCrossmodalMultiheadAttention model.

Data:

The data we are using is 500 rows of the MNIST dataset, split into top and bottom halves as our two tabular modalities. The bottom halfโ€™s values have been inverted to make the task more difficult. The prediction label will be whether the number is odd or even.

Key Features:

  • ๐Ÿ“ฅ Importing a model based on its path.

  • ๐Ÿงช Training and testing a model with k-fold cross validation.

  • ๐Ÿ“ˆ Plotting the loss curves of each fold.

  • ๐Ÿ“Š Visualising the results of a single K-Fold model using the ConfusionMatrix class.

import matplotlib.pyplot as plt
from tqdm.auto import tqdm
import os

from fusilli.data import prepare_fusion_data
from fusilli.eval import ConfusionMatrix
from fusilli.train import train_and_save_models

# sphinx_gallery_thumbnail_number = -1

1. Import the fusion model ๐Ÿ”๏ƒ

Weโ€™re importing only one model for this example, the TabularCrossmodalMultiheadAttention model. Instead of using the import_chosen_fusion_models() function, weโ€™re importing the model directly like with any other library method.

from fusilli.fusionmodels.tabularfusion.crossmodal_att import (
    TabularCrossmodalMultiheadAttention,
)

2. Set the training parameters ๐ŸŽฏ๏ƒ

Now weโ€™re configuring our training parameters.

For training and testing, the necessary parameters are: - Paths to the input data files. - Paths to the output directories. - prediction_task: the type of prediction to be performed. This is either regression, binary, or classification.

Some optional parameters are:

  • kfold: a boolean of whether to use k-fold cross-validation (True) or not (False). By default, this is set to False.

  • num_folds: the number of folds to use. It canโ€™t be k=1.

  • wandb_logging: a boolean of whether to log the results using Weights and Biases (True) or not (False). Default is False.

  • test_size: the proportion of the dataset to include in the test split. Default is 0.2.

  • batch_size: the batch size to use for training. Default is 8.

  • multiclass_dimensions: the number of classes to use for multiclass classification. Default is None unless prediction_task is multiclass.

  • max_epochs: the maximum number of epochs to train for. Default is 1000.

# Binary task (predicting a binary variable - 0 or 1)
prediction_task = "binary"

# Set the batch size
batch_size = 32

# Enable k-fold cross-validation with k=5
kfold = True
num_folds = 5

# Setting output directories
output_paths = {
    "losses": "loss_logs/one_model_binary_kfold",
    "checkpoints": "checkpoints/one_model_binary_kfold",
    "figures": "figures/one_model_binary_kfold",
}

# Create the output directories if they don't exist
for path in output_paths.values():
    os.makedirs(path, exist_ok=True)

# Clearing the loss logs directory (only for the example notebooks)
for dir in os.listdir(output_paths["losses"]):
    # remove files
    for file in os.listdir(os.path.join(output_paths["losses"], dir)):
        os.remove(os.path.join(output_paths["losses"], dir, file))
    # remove dir
    os.rmdir(os.path.join(output_paths["losses"], dir))

3. Specifying input file paths ๐Ÿ”ฎ๏ƒ

Weโ€™re using the MNIST dataset for this example, and the CSV files are stored in the _static/mnist_data directory with the documentation files.

data_paths = {
    "tabular1": "../../_static/mnist_data/mnist1_binary.csv",
    "tabular2": "../../_static/mnist_data/mnist2_binary.csv",
    "image": "",
}

4. Training the fusion model ๐Ÿ๏ƒ

Now weโ€™re ready to train our model. Weโ€™re using the train_and_save_models() function to train our model.

First we need to create a data module using the prepare_fusion_data() function. This function takes the following parameters:

  • prediction_task: the type of prediction to be performed.

  • fusion_model: the fusion model to be trained.

  • data_paths: the paths to the input data files.

  • output_paths: the paths to the output directories.

Then we pass the data module and the fusion model to the train_and_save_models() function. Weโ€™re not using checkpointing for this example, so we set enable_checkpointing=False. Weโ€™re also setting show_loss_plot=True to plot the loss curves for each fold.

fusion_model = TabularCrossmodalMultiheadAttention

print("method_name:", fusion_model.method_name)
print("modality_type:", fusion_model.modality_type)
print("fusion_type:", fusion_model.fusion_type)

dm = prepare_fusion_data(prediction_task=prediction_task,
                         fusion_model=fusion_model,
                         data_paths=data_paths,
                         output_paths=output_paths,
                         kfold=kfold,
                         num_folds=num_folds,
                         batch_size=batch_size)

# train and test
single_model_list = train_and_save_models(
    data_module=dm,
    fusion_model=fusion_model,
    enable_checkpointing=False,  # False for the example notebooks
    show_loss_plot=True,
)
  • Loss Curves for TabularCrossmodalMultiheadAttention_fold_0
  • Loss Curves for TabularCrossmodalMultiheadAttention_fold_1
  • Loss Curves for TabularCrossmodalMultiheadAttention_fold_2
  • Loss Curves for TabularCrossmodalMultiheadAttention_fold_3
  • Loss Curves for TabularCrossmodalMultiheadAttention_fold_4
method_name: Tabular Crossmodal multi-head attention
modality_type: tabular_tabular
fusion_type: attention

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 54.18it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 53.35it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.05it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.48it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.09it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.71it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.91it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.61it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.90it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.66it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.73it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.52it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.27it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.08it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.95it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.78it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.20it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.05it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.44it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.31it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.66it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.54it/s, v_num=ld_0]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.74it/s, v_num=ld_0]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.62it/s, v_num=ld_0]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.93it/s, v_num=ld_0]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.83it/s, v_num=ld_0]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.08it/s, v_num=ld_0, val_loss=0.693]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 68.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 67.23it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.03it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.82it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.35it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.42it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.49it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.58it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.39it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.43it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.74it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.21it/s, v_num=ld_0, val_loss=0.693, train_loss=0.697]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 68.47it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 67.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.00it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.19it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.91it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.62it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.77it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.30it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.32it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.42it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.37it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.00it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 66.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 65.24it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.43it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.04it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.21it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.80it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.74it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.51it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.34it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.45it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.48it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.13it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 61.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 60.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.41it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.49it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.54it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.38it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.88it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.37it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.98it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 65.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 63.93it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.70it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.58it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.31it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.11it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.45it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.65it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.04it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.88it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.82it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.82it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.64it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.34it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 71.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 69.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.30it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.38it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.91it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.03it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.75it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.42it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.51it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.11it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.99it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.87it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.74it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.23it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.13it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.11it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.87it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 70.23it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 68.80it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.35it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.06it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.88it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.59it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.42it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.74it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 72.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 70.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.08it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.34it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.66it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.18it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.37it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.04it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.54it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.82it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.31it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.45it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.33it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 65.13it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 63.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.62it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.39it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.70it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.30it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.66it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.43it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 66.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 64.64it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.27it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.99it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.58it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.79it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.54it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.77it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.98it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.18it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.54it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 66.44it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 65.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.47it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.46it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.24it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.43it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.00it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.45it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.24it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.47it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.36it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.46it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.30it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 68.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 66.73it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.98it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.75it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.65it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.93it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.36it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.65it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.45it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.93it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.75it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.06it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.19it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.14it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.00it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.88it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.27it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 68.99it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 67.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.48it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.06it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.27it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.02it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.32it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.24it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.99it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.49it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.38it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 69.66it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 68.27it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.86it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.03it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.29it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.35it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.41it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.23it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.66it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.35it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.51it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.39it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.02it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.30it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.05it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 67.32it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 65.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.94it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.23it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.34it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.98it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.62it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.42it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.38it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.48it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.31it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.87it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.74it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.78it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.91it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val           0.8315746784210205
      Accuracy_val          0.4399999976158142
        val_loss            0.6931471824645996
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 29.72it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 29.16it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.44it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.14it/s, v_num=ld_1]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 38.08it/s, v_num=ld_1]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.91it/s, v_num=ld_1]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.83it/s, v_num=ld_1]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.68it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.03it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.90it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.26it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.13it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.24it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.13it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.15it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.05it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.80it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.71it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.08it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 54.98it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.21it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.12it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.85it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.77it/s, v_num=ld_1]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.45it/s, v_num=ld_1]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.38it/s, v_num=ld_1]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 52.58it/s, v_num=ld_1, val_loss=0.693]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 52.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 69.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 67.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.34it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.13it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.62it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 67.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 66.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.27it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.27it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 64.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 62.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.34it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.89it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 64.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 63.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.63it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.41it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 65.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 64.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.15it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 66.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 65.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.11it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.41it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 65.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 64.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.89it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.52it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 65.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 63.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.62it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.11it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.28it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 62.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 60.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.80it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.80it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.19it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.41it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 60.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 58.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.28it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.62it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.63it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.19it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 66.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 65.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.15it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.80it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 63.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 61.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.27it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 64.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 63.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.27it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 64.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.85it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 64.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 63.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val           0.8141234517097473
      Accuracy_val          0.4399999976158142
        val_loss            0.6931471824645996
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 30.70it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 30.14it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.21it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 32.87it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.33it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.18it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 41.96it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 41.81it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.28it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.14it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.94it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.75it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.80it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.68it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 51.30it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 51.20it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 52.34it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 52.25it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 53.40it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 53.30it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 54.43it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 54.34it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 55.29it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 55.20it/s, v_num=ld_2]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.12it/s, v_num=ld_2]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.04it/s, v_num=ld_2]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 51.33it/s, v_num=ld_2, val_loss=0.640]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 51.14it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 65.51it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 64.10it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.55it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.78it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.72it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.21it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.84it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.78it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.46it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.31it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.02it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.66it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.81it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.63it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.83it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.67it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.76it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.61it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.52it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.38it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.22it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.10it/s, v_num=ld_2, val_loss=0.640, train_loss=0.690]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.32it/s, v_num=ld_2, val_loss=0.579, train_loss=0.690]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.08it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 66.85it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 65.32it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.77it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.99it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.25it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.72it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.09it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.70it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.18it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.84it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.49it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.24it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.57it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.35it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.74it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.55it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.93it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.76it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.02it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.87it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.15it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.00it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.03it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.91it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.37it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.25it/s, v_num=ld_2, val_loss=0.579, train_loss=0.618]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.50it/s, v_num=ld_2, val_loss=0.566, train_loss=0.618]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.27it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 64.16it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 62.79it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.28it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.57it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.99it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.53it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.06it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.64it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.20it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.89it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.71it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.49it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.26it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.06it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.35it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.18it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.43it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.26it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.54it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.39it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.19it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.06it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.42it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.30it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.69it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.56it/s, v_num=ld_2, val_loss=0.566, train_loss=0.585]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.30it/s, v_num=ld_2, val_loss=0.558, train_loss=0.585]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.07it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 61.57it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 60.37it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.69it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.06it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.53it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.12it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.57it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.26it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.28it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.01it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.50it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.28it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 62.18it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.97it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.19it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.02it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.48it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.33it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.62it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.50it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.98it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.87it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.44it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.33it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.17it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.08it/s, v_num=ld_2, val_loss=0.558, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.94it/s, v_num=ld_2, val_loss=0.578, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.73it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 66.90it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 65.52it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.03it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.28it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.05it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.58it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.77it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.39it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.21it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.90it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.56it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.33it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.82it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.62it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.04it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.86it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.50it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.78it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.63it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.80it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.59it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.47it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.92it/s, v_num=ld_2, val_loss=0.578, train_loss=0.557]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.41it/s, v_num=ld_2, val_loss=0.610, train_loss=0.557]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.18it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 59.77it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 58.36it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.43it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.76it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.47it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.03it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.21it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.87it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.51it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.26it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.26it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.04it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.63it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.45it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.88it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.72it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.48it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.35it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.90it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.77it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.11it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.99it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.24it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.13it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.84it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.73it/s, v_num=ld_2, val_loss=0.610, train_loss=0.585]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.24it/s, v_num=ld_2, val_loss=0.602, train_loss=0.585]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.01it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 63.32it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 62.20it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.34it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.72it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.25it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.82it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.31it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.98it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.51it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.54it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.30it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.70it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.50it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.69it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.52it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.81it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.66it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.90it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.76it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.01it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.88it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.17it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.06it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.36it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.26it/s, v_num=ld_2, val_loss=0.602, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.56it/s, v_num=ld_2, val_loss=0.569, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.33it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 70.65it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 69.21it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.96it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.25it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.64it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.17it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.84it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.12it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.83it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.28it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.87it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.69it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.44it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.28it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.83it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.67it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.06it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.92it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.16it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.04it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.87it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.75it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.28it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.18it/s, v_num=ld_2, val_loss=0.569, train_loss=0.564]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.46it/s, v_num=ld_2, val_loss=0.567, train_loss=0.564]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.22it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 63.07it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 61.94it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.75it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.13it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.82it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.32it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.85it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.43it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.01it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.75it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.51it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.29it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.84it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.65it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.90it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.74it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.84it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.69it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.92it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.56it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.45it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.84it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.73it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.20it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.10it/s, v_num=ld_2, val_loss=0.567, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.71it/s, v_num=ld_2, val_loss=0.569, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.49it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 68.30it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 67.06it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.77it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.08it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.94it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.49it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.63it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.32it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.00it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.75it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.99it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.78it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.59it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.26it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.10it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.14it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.99it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.84it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.71it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.44it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.32it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.82it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.71it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.31it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.20it/s, v_num=ld_2, val_loss=0.569, train_loss=0.555]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.42it/s, v_num=ld_2, val_loss=0.554, train_loss=0.555]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.19it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 61.56it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 60.61it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.25it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.66it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.41it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.06it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.06it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.77it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.10it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.87it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.57it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.38it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.27it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.10it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.62it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.47it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.63it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.50it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.19it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.08it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.70it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.59it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.52it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.43it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.05it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.96it/s, v_num=ld_2, val_loss=0.554, train_loss=0.547]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.98it/s, v_num=ld_2, val_loss=0.542, train_loss=0.547]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.78it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 59.34it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 58.18it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.34it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.75it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.24it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.88it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.08it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.79it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.50it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.26it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.65it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.44it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.32it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.15it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.40it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.25it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.28it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.15it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.94it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.82it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.41it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.29it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.62it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.51it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.28it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.18it/s, v_num=ld_2, val_loss=0.542, train_loss=0.546]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.85it/s, v_num=ld_2, val_loss=0.556, train_loss=0.546]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.62it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 60.35it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 59.31it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.20it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.58it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.54it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.12it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.17it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.81it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.79it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.54it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.85it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.84it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.66it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.65it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.49it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.29it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.76it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.79it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.18it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.08it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.33it/s, v_num=ld_2, val_loss=0.556, train_loss=0.547]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.94it/s, v_num=ld_2, val_loss=0.566, train_loss=0.547]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.70it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 64.88it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.83it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.20it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.18it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.76it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.72it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.39it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.83it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.58it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.89it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.66it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.71it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.52it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.12it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.95it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.42it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.28it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.80it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.09it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.97it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.78it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.02it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.92it/s, v_num=ld_2, val_loss=0.566, train_loss=0.546]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.58it/s, v_num=ld_2, val_loss=0.582, train_loss=0.546]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.36it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 68.95it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 67.65it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.11it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.40it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.87it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.41it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.17it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.80it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.66it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.40it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.31it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.10it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.27it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.08it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.54it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.36it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.17it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.02it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.44it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.30it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.65it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.69it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.04it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.582, train_loss=0.574]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.35it/s, v_num=ld_2, val_loss=0.592, train_loss=0.574]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.11it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 66.38it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 65.05it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.01it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.35it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.16it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.28it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.93it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.35it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.18it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.96it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.37it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.19it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.31it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.15it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.65it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.51it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.34it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.22it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.70it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.74it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.63it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.25it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.15it/s, v_num=ld_2, val_loss=0.592, train_loss=0.576]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.52it/s, v_num=ld_2, val_loss=0.556, train_loss=0.576]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.28it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 64.37it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 63.24it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.33it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.74it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.65it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.25it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.21it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.90it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.10it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.86it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.05it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.83it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.19it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.97it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.22it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.06it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.23it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.09it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.06it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.94it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.12it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.01it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.93it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.83it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.54it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.42it/s, v_num=ld_2, val_loss=0.556, train_loss=0.623]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.29it/s, v_num=ld_2, val_loss=0.568, train_loss=0.623]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.07it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 63.56it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 62.23it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 58.08it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 57.55it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 59.99it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 59.57it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 60.32it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 59.99it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.04it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 57.78it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.12it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.91it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 58.69it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 58.51it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 59.00it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.85it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.57it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.43it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.88it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.75it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.73it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.58it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.07it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.92it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.06it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.97it/s, v_num=ld_2, val_loss=0.568, train_loss=0.553]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.33it/s, v_num=ld_2, val_loss=0.562, train_loss=0.553]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.13it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 55.05it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 54.04it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 55.54it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 55.01it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 56.42it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 56.08it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.74it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.47it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.40it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.17it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.25it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.06it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.97it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.79it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.84it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.68it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.28it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.13it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.96it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.83it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.09it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.97it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.09it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.98it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.28it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.18it/s, v_num=ld_2, val_loss=0.562, train_loss=0.558]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.43it/s, v_num=ld_2, val_loss=0.586, train_loss=0.558]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.23it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 56.89it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 55.75it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.35it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 58.73it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 58.57it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 58.17it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 59.18it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.88it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.40it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.12it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.97it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.76it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.72it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.54it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.67it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.50it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.25it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.08it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.93it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.80it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.90it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.77it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.80it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.69it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.98it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.89it/s, v_num=ld_2, val_loss=0.586, train_loss=0.559]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.34it/s, v_num=ld_2, val_loss=0.558, train_loss=0.559]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.13it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 61.75it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 60.67it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.03it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.38it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.21it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.66it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.40it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.03it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.18it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.92it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.03it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.82it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.52it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.35it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.61it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.46it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.14it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 60.99it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.24it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.11it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.36it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.24it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.29it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.18it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.64it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.54it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.58it/s, v_num=ld_2, val_loss=0.558, train_loss=0.591]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.35it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 63.70it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 62.46it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.78it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.14it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.45it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.03it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.81it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.52it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.39it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.16it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.87it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.67it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 62.51it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 62.32it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.73it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.57it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.87it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.73it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.74it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.62it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.72it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.61it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.92it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.81it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.24it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.14it/s, v_num=ld_2, val_loss=0.558, train_loss=0.562]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.23it/s, v_num=ld_2, val_loss=0.568, train_loss=0.562]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.02it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 67.20it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 65.76it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.87it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.19it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.74it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.32it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.25it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.93it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.71it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.43it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.61it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.41it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.24it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.07it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.98it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.81it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.48it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.34it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.49it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.37it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.79it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.68it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.96it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.86it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.59it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.50it/s, v_num=ld_2, val_loss=0.568, train_loss=0.550]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.80it/s, v_num=ld_2, val_loss=0.569, train_loss=0.550]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.59it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 56.82it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 55.79it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.99it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.39it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.68it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.29it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.42it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.11it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.93it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.65it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.23it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.03it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.49it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.32it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.97it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.83it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.31it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.19it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.75it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.64it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.52it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.42it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.49it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 62.40it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.20it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.11it/s, v_num=ld_2, val_loss=0.569, train_loss=0.546]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.24it/s, v_num=ld_2, val_loss=0.572, train_loss=0.546]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.04it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 57.15it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 56.24it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.14it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.58it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.31it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.90it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.74it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.44it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.67it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.43it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.13it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.91it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.30it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.13it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.02it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.86it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 60.57it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 60.43it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.07it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.94it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.74it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.61it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.08it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.98it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.33it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.23it/s, v_num=ld_2, val_loss=0.572, train_loss=0.541]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.48it/s, v_num=ld_2, val_loss=0.553, train_loss=0.541]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.27it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 58.57it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 57.31it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 55.29it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 54.76it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.46it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.07it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.12it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 57.80it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.81it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.55it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.13it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.93it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 59.63it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 59.46it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.62it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.47it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 58.80it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 58.65it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.12it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.00it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.20it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.09it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.35it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.24it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.05it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.96it/s, v_num=ld_2, val_loss=0.553, train_loss=0.536]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.19it/s, v_num=ld_2, val_loss=0.568, train_loss=0.536]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.99it/s, v_num=ld_2, val_loss=0.568, train_loss=0.537]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.71it/s, v_num=ld_2, val_loss=0.568, train_loss=0.537]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val           0.8490338325500488
      Accuracy_val          0.8399999737739563
        val_loss            0.5680024027824402
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 30.82it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 30.26it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.27it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 32.95it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 38.00it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.85it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.68it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.53it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.32it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.19it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.17it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.05it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.39it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.27it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.54it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.44it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.05it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.94it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.33it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.24it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.33it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.24it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.35it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.25it/s, v_num=ld_3]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.33it/s, v_num=ld_3]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.25it/s, v_num=ld_3]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.15it/s, v_num=ld_3, val_loss=0.632]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 52.92it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 66.71it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 65.32it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.28it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.47it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.66it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.16it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.23it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.84it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.04it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.73it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.12it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.86it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.20it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.98it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.91it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.73it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.95it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.78it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.93it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.78it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.82it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.68it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.95it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.83it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.37it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.25it/s, v_num=ld_3, val_loss=0.632, train_loss=0.677]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.52it/s, v_num=ld_3, val_loss=0.622, train_loss=0.677]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.29it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 71.63it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 70.21it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.89it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.14it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.57it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.93it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.29it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.91it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.01it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.71it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.05it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.77it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.25it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.04it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.20it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.01it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.27it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.10it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.99it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.83it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.04it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.90it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.22it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.09it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.62it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.50it/s, v_num=ld_3, val_loss=0.622, train_loss=0.596]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.71it/s, v_num=ld_3, val_loss=0.617, train_loss=0.596]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.46it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 69.84it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 68.17it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.93it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.17it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.50it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.00it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.19it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.82it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.67it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.38it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.10it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.82it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.34it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.11it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.39it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.20it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.79it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.59it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.50it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.34it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.44it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.29it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.40it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.26it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.65it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.53it/s, v_num=ld_3, val_loss=0.617, train_loss=0.577]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.66it/s, v_num=ld_3, val_loss=0.590, train_loss=0.577]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.40it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 63.60it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 62.22it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.87it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.17it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.80it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.31it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.37it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.98it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.43it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.12it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.72it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.47it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.31it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.09it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.64it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.45it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.64it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.46it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.67it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.52it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.86it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.72it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.92it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.80it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.35it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.24it/s, v_num=ld_3, val_loss=0.590, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.60it/s, v_num=ld_3, val_loss=0.600, train_loss=0.564]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.36it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 63.93it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 62.69it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.53it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.83it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.43it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.96it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.03it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.66it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.02it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.73it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.88it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.63it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.14it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.94it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.28it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.09it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.19it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.02it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.10it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.96it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.14it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.00it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.97it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.84it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.81it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.69it/s, v_num=ld_3, val_loss=0.600, train_loss=0.544]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.17it/s, v_num=ld_3, val_loss=0.598, train_loss=0.544]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.92it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 63.65it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 62.40it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.20it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.52it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.11it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.63it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.85it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.47it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.83it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.52it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.16it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.89it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.99it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.77it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.02it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.83it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.16it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.99it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.36it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.21it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.58it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.44it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.39it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.26it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.75it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.64it/s, v_num=ld_3, val_loss=0.598, train_loss=0.551]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.09it/s, v_num=ld_3, val_loss=0.649, train_loss=0.551]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.84it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 69.20it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 67.64it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.56it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.76it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.93it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.43it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.97it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.56it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.76it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.45it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.07it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.81it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.30it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.08it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.22it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.02it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.40it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.13it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.45it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.30it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.25it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.12it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.88it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.76it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.13it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.00it/s, v_num=ld_3, val_loss=0.649, train_loss=0.613]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.70it/s, v_num=ld_3, val_loss=0.684, train_loss=0.613]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.47it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 69.10it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 67.66it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.56it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.85it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.17it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.72it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.90it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.60it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.39it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.14it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.48it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.28it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.02it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.85it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.90it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.75it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.62it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.48it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.52it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.40it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.46it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.35it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.60it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.49it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.89it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.76it/s, v_num=ld_3, val_loss=0.684, train_loss=0.609]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.39it/s, v_num=ld_3, val_loss=0.679, train_loss=0.609]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.17it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 68.30it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 66.74it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.21it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.54it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.12it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.70it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.24it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 60.95it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.55it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.32it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.91it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.71it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.05it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.87it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.67it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.50it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.25it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.09it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.59it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.44it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.98it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.85it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.07it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.95it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.55it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.44it/s, v_num=ld_3, val_loss=0.679, train_loss=0.623]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.87it/s, v_num=ld_3, val_loss=0.634, train_loss=0.623]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.63it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 63.29it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 61.89it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.76it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.05it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.00it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.52it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.44it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.02it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.07it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.76it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.10it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.85it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.97it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.74it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.17it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.98it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.46it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.28it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.49it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.35it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.76it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.62it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.52it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.40it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.78it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.67it/s, v_num=ld_3, val_loss=0.634, train_loss=0.603]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.18it/s, v_num=ld_3, val_loss=0.647, train_loss=0.603]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.95it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 62.21it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 61.07it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.12it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.47it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.34it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.83it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.69it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.35it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.25it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.96it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.29it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.05it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.27it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.06it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.80it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.63it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.93it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.78it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.63it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.48it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.44it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.31it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.26it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.15it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.17it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.07it/s, v_num=ld_3, val_loss=0.647, train_loss=0.582]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.98it/s, v_num=ld_3, val_loss=0.622, train_loss=0.582]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.76it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 67.50it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 65.84it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.23it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.53it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.92it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.44it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.52it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.16it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.49it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.21it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.01it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.76it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.21it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.01it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.91it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.72it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.95it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.80it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.50it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.36it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.53it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.40it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.01it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.89it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.62it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.51it/s, v_num=ld_3, val_loss=0.622, train_loss=0.575]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.23it/s, v_num=ld_3, val_loss=0.600, train_loss=0.575]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.00it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 66.23it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 65.00it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.72it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.98it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.96it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.53it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.79it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.42it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.57it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.29it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.08it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.84it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.96it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.75it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.30it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.12it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.77it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.61it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.87it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.73it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.26it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.13it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.37it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.25it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.70it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.59it/s, v_num=ld_3, val_loss=0.600, train_loss=0.563]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.10it/s, v_num=ld_3, val_loss=0.619, train_loss=0.563]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.86it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 66.14it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 64.81it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.19it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.49it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.62it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.10it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.34it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.99it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.94it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.67it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.88it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.64it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.30it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.09it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.64it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.45it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.20it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.04it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.12it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.97it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.36it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.24it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.35it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.22it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.66it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.54it/s, v_num=ld_3, val_loss=0.619, train_loss=0.571]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.90it/s, v_num=ld_3, val_loss=0.644, train_loss=0.571]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.65it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 70.49it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 69.03it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.22it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.46it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.55it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.06it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.40it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.99it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.16it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.87it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.97it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.73it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.07it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.86it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.34it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.16it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.23it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.08it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.12it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.98it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.17it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.04it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.31it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.18it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.70it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.59it/s, v_num=ld_3, val_loss=0.644, train_loss=0.599]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.91it/s, v_num=ld_3, val_loss=0.628, train_loss=0.599]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.66it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 60.83it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 59.57it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.46it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.82it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.90it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.48it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.92it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.54it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.36it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.10it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.70it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.48it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.25it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.06it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.68it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.52it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.69it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.54it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.09it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.95it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.21it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.09it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.50it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.40it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.97it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.87it/s, v_num=ld_3, val_loss=0.628, train_loss=0.597]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.50it/s, v_num=ld_3, val_loss=0.631, train_loss=0.597]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.28it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 61.53it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 60.47it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.98it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.38it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.55it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.11it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.12it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.78it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.68it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.39it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.49it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.21it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.13it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.93it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.67it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.46it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.62it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.45it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.45it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.29it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.32it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.18it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.34it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.20it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.46it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.35it/s, v_num=ld_3, val_loss=0.631, train_loss=0.605]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.67it/s, v_num=ld_3, val_loss=0.642, train_loss=0.605]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.43it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 64.86it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 63.52it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.99it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.32it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.14it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.66it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.66it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.28it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.68it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.39it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.38it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.13it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.34it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.14it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.86it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.67it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.81it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.65it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.43it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.26it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.70it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.57it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.76it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.64it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.39it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.28it/s, v_num=ld_3, val_loss=0.642, train_loss=0.570]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.07it/s, v_num=ld_3, val_loss=0.681, train_loss=0.570]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.84it/s, v_num=ld_3, val_loss=0.681, train_loss=0.589]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.51it/s, v_num=ld_3, val_loss=0.681, train_loss=0.589]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val           0.7228000164031982
      Accuracy_val          0.7099999785423279
        val_loss            0.6814847588539124
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 28.24it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 27.75it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 29.85it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 29.69it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 36.43it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 36.29it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 41.21it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 41.08it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 44.88it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 44.74it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.37it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.24it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.52it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.41it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 51.46it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 51.35it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.00it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 52.91it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 54.38it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 54.29it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 55.40it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 55.32it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.24it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.16it/s, v_num=ld_4]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.75it/s, v_num=ld_4]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.67it/s, v_num=ld_4]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 51.99it/s, v_num=ld_4, val_loss=0.657]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 51.79it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 64.38it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 62.98it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.28it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.54it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.25it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.74it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.85it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.46it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.19it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.87it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.48it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.23it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.69it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.46it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.53it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.32it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.51it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.33it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.03it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.88it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.09it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.95it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.18it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.02it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.60it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.49it/s, v_num=ld_4, val_loss=0.657, train_loss=0.659]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.91it/s, v_num=ld_4, val_loss=0.646, train_loss=0.659]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.67it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 70.87it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 69.47it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.28it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.48it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.84it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.35it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.27it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.84it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.47it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.18it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.64it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.37it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.52it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.30it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.69it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.49it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.17it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.99it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.11it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.93it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.00it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.85it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.83it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.69it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.10it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.94it/s, v_num=ld_4, val_loss=0.646, train_loss=0.615]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.89it/s, v_num=ld_4, val_loss=0.632, train_loss=0.615]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.63it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 62.51it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 61.04it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.99it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.19it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.85it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.41it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.60it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.24it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.99it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.70it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.42it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.17it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.52it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.29it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.87it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.68it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.85it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.68it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.04it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.89it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.27it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.14it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.41it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.29it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.83it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.70it/s, v_num=ld_4, val_loss=0.632, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.09it/s, v_num=ld_4, val_loss=0.601, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.86it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 63.96it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 62.65it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.05it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.35it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.06it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.57it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.52it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.14it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.84it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.53it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.81it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.26it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.06it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.73it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.53it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.93it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.76it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.95it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.79it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.92it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.77it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.81it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.68it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.66it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.54it/s, v_num=ld_4, val_loss=0.601, train_loss=0.574]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.92it/s, v_num=ld_4, val_loss=0.576, train_loss=0.574]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.68it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 67.39it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 65.87it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.47it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.70it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.34it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.84it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.73it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.34it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.78it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.41it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.91it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.64it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.98it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.75it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.95it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.76it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.10it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.94it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.20it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.05it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.45it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.31it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.37it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.25it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.80it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.68it/s, v_num=ld_4, val_loss=0.576, train_loss=0.585]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.06it/s, v_num=ld_4, val_loss=0.616, train_loss=0.585]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.82it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 63.64it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 62.16it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.10it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.40it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.66it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.19it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.19it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.80it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.70it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.41it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.19it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.92it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.51it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.30it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.88it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.69it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.07it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.91it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.31it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.17it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.01it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.87it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.12it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.99it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.19it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.08it/s, v_num=ld_4, val_loss=0.616, train_loss=0.568]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.53it/s, v_num=ld_4, val_loss=0.624, train_loss=0.568]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.30it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 66.11it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 64.74it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.15it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.43it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.89it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.33it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.74it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.38it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.07it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.87it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.62it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.82it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.60it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.95it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.84it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.69it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.64it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.49it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.81it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.67it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.94it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.82it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.43it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.32it/s, v_num=ld_4, val_loss=0.624, train_loss=0.562]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.01it/s, v_num=ld_4, val_loss=0.588, train_loss=0.562]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.77it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 67.34it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 65.95it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.23it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.49it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.09it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.43it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.08it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.90it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.58it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.25it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.00it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.49it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.28it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.18it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.99it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.62it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.42it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.51it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.35it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.24it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.09it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.91it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.78it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.90it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.78it/s, v_num=ld_4, val_loss=0.588, train_loss=0.560]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.18it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.94it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 62.84it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 61.39it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.49it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.77it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.79it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.30it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.65it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.28it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.59it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.30it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.69it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.45it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.80it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.58it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.50it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.32it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.86it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.70it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.18it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.03it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.43it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.30it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.67it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.55it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.00it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.88it/s, v_num=ld_4, val_loss=0.624, train_loss=0.560]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.43it/s, v_num=ld_4, val_loss=0.592, train_loss=0.560]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.15it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 58.84it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 57.62it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.80it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.15it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.72it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.27it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.24it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.89it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.77it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.45it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.57it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.32it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 62.92it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 62.72it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.29it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.11it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.52it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.36it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.73it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.58it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.79it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.66it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.03it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.91it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.16it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.05it/s, v_num=ld_4, val_loss=0.592, train_loss=0.549]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.85it/s, v_num=ld_4, val_loss=0.615, train_loss=0.549]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.62it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 68.23it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 66.69it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.09it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.32it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.24it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.66it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.31it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.92it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.89it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.58it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.35it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.10it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.52it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.30it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.64it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.45it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.71it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.54it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.83it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.68it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.85it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.72it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.68it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.56it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.02it/s, v_num=ld_4, val_loss=0.615, train_loss=0.545]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.71it/s, v_num=ld_4, val_loss=0.641, train_loss=0.545]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.48it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 68.47it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 66.94it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.63it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.91it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.93it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.43it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.10it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.71it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.26it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.96it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.84it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.60it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.31it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.10it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.60it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.41it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.88it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.71it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.18it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.03it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.51it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.37it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.63it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.50it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.29it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.18it/s, v_num=ld_4, val_loss=0.641, train_loss=0.561]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.01it/s, v_num=ld_4, val_loss=0.588, train_loss=0.561]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.79it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 67.40it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 65.71it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.89it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.15it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.29it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.78it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.95it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.59it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.51it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.21it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.64it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.39it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.17it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.96it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.58it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.40it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.82it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.66it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.68it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.53it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.00it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.86it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.12it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.00it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.03it/s, v_num=ld_4, val_loss=0.588, train_loss=0.566]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.66it/s, v_num=ld_4, val_loss=0.639, train_loss=0.566]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.42it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 67.79it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 66.15it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.91it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.01it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.62it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.14it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.34it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.97it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.45it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.15it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.62it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.36it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.60it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.38it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.73it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.54it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.44it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.27it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.59it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.44it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.77it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.64it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.79it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.66it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.07it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.95it/s, v_num=ld_4, val_loss=0.639, train_loss=0.551]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.31it/s, v_num=ld_4, val_loss=0.602, train_loss=0.551]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.06it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 63.39it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 62.13it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.65it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.97it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.94it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.48it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.08it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.72it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.15it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.82it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.49it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.24it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.79it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.57it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.41it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.22it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.51it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.35it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.78it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.63it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.84it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.71it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.17it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.05it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.71it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.60it/s, v_num=ld_4, val_loss=0.602, train_loss=0.550]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.09it/s, v_num=ld_4, val_loss=0.599, train_loss=0.550]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.84it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 62.01it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 60.61it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.72it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.07it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.51it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.04it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.81it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.45it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.46it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.18it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.37it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.11it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.35it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.78it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.59it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.62it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.46it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.76it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.61it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.80it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.66it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.68it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.65it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.52it/s, v_num=ld_4, val_loss=0.599, train_loss=0.541]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.12it/s, v_num=ld_4, val_loss=0.609, train_loss=0.541]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.89it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 69.24it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 67.89it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.28it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.54it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.85it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.35it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.98it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.57it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.55it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.23it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.83it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.57it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.06it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.84it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.16it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.97it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.29it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.09it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.33it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.17it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.23it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.08it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.97it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.84it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.24it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.08it/s, v_num=ld_4, val_loss=0.609, train_loss=0.536]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.22it/s, v_num=ld_4, val_loss=0.590, train_loss=0.536]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.97it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 67.43it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 65.97it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.00it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.30it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.37it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.88it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.52it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.15it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.21it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.94it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.86it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.62it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.94it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.63it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.23it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.03it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.81it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.62it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.71it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.16it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.01it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.49it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.37it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.91it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.80it/s, v_num=ld_4, val_loss=0.590, train_loss=0.526]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.37it/s, v_num=ld_4, val_loss=0.606, train_loss=0.526]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.13it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 68.80it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 67.24it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.74it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.97it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.38it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.83it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.97it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.60it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.97it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.61it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.04it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.81it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.09it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.86it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.29it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.10it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.62it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.47it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.61it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.46it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.89it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.76it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.10it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.98it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.60it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.49it/s, v_num=ld_4, val_loss=0.606, train_loss=0.533]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.95it/s, v_num=ld_4, val_loss=0.596, train_loss=0.533]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.71it/s, v_num=ld_4, val_loss=0.596, train_loss=0.529]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.37it/s, v_num=ld_4, val_loss=0.596, train_loss=0.529]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val           0.9388084411621094
      Accuracy_val          0.8600000143051147
        val_loss            0.5959576368331909
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€

6. Plotting the results ๐Ÿ“Š๏ƒ

Now weโ€™re ready to plot the results of our model. Weโ€™re using the ConfusionMatrix class to plot the confusion matrix. Weโ€™re seeing each foldโ€™s confusion matrices separately on the right, and the confusion matrix created from the concatenated validation sets from each fold on the left.

confusion_matrix_fig = ConfusionMatrix.from_final_val_data(
    single_model_list
)
plt.show()
TabularCrossmodalMultiheadAttention: confusion matrix, Tabular Crossmodal multi-head attention: auroc=0.691, Fold 1: auroc=0.832, Fold 2: auroc=0.814, Fold 3: auroc=0.849, Fold 4: auroc=0.723, Fold 5: auroc=0.939

Total running time of the script: (0 minutes 23.944 seconds)

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