Note

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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, 54.34it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 53.48it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.56it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.91it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.66it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.20it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.97it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.65it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.12it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.86it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.94it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.70it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.27it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.07it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.96it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.80it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.15it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.01it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.66it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.53it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.14it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.03it/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:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.48it/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, 69.14it/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, 69.04it/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, 62.30it/s, v_num=ld_0, val_loss=0.637]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.06it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 73.05it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 71.34it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.57it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.81it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.79it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.29it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.96it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.59it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.36it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.05it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.83it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.57it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.13it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.91it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.36it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.17it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.47it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.32it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.48it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.33it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.32it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.19it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.20it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.08it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.20it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.08it/s, v_num=ld_0, val_loss=0.637, train_loss=0.665]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.62it/s, v_num=ld_0, val_loss=0.602, train_loss=0.665]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.35it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 70.23it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 68.60it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.71it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.00it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.27it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.79it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.75it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.39it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.89it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.57it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.36it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.11it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.44it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.23it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.65it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.46it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.78it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.61it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.97it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.82it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.12it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.98it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.69it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.54it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.69it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.55it/s, v_num=ld_0, val_loss=0.602, train_loss=0.593]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.18it/s, v_num=ld_0, val_loss=0.597, train_loss=0.593]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.91it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 71.58it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 70.12it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.32it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.51it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.59it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.10it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.42it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.03it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.69it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.39it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.87it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.62it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.01it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.79it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.08it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.89it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.09it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.92it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.04it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.88it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.75it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.60it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.76it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.64it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.20it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.08it/s, v_num=ld_0, val_loss=0.597, train_loss=0.581]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.81it/s, v_num=ld_0, val_loss=0.595, train_loss=0.581]
Epoch 3: 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=0.595, train_loss=0.554]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 68.83it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 67.39it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.72it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.01it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.35it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.85it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.82it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.48it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.31it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.03it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.42it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.19it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.65it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.45it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.51it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.33it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.40it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.24it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.87it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.72it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.95it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.82it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.14it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.02it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.58it/s, v_num=ld_0, val_loss=0.595, train_loss=0.554]
Epoch 4: 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=0.595, train_loss=0.554]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.42it/s, v_num=ld_0, val_loss=0.677, train_loss=0.554]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.14it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 70.94it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 69.45it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.41it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.67it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.56it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.10it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.16it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.81it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.75it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.47it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.23it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.99it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.07it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.76it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.43it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.22it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.78it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.60it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.53it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.33it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.22it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.06it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.96it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5: 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=0.677, train_loss=0.552]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.02it/s, v_num=ld_0, val_loss=0.677, train_loss=0.552]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.03it/s, v_num=ld_0, val_loss=0.629, train_loss=0.552]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.75it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 64.98it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 63.65it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.94it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.28it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.27it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.06it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.70it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.32it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.03it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.69it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.44it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.76it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.54it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.43it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.24it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.59it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.43it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.83it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.68it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.76it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.63it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.78it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.65it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.98it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.86it/s, v_num=ld_0, val_loss=0.629, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.49it/s, v_num=ld_0, val_loss=0.589, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.19it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 62.80it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 61.54it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.96it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.24it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.80it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.33it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.63it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.24it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.30it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.01it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.82it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.55it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.08it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.86it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.39it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.20it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.76it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.60it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.02it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.87it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.26it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.13it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.20it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.07it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.20it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.08it/s, v_num=ld_0, val_loss=0.589, train_loss=0.547]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.97it/s, v_num=ld_0, val_loss=0.590, train_loss=0.547]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.70it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 70.55it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 69.12it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.07it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.33it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.55it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.09it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.76it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.29it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.84it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.56it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.72it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.48it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.06it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.83it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.83it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.62it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.57it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.38it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.52it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.36it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.64it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.49it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.38it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.25it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.69it/s, v_num=ld_0, val_loss=0.590, train_loss=0.539]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.79it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.54it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 67.61it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 66.24it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.12it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.11it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.46it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.98it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.62it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.25it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.23it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.95it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.84it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.60it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.90it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.70it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.96it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.78it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.37it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.21it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.70it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.56it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.57it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.45it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.70it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.59it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.20it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.09it/s, v_num=ld_0, val_loss=0.608, train_loss=0.539]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.10it/s, v_num=ld_0, val_loss=0.612, train_loss=0.539]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.84it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 71.85it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 70.42it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.03it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.25it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.22it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.71it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.74it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.39it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.25it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.95it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.41it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.14it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.31it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.10it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.59it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.41it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.45it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.28it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.95it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.80it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.07it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.93it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.06it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.94it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.29it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.17it/s, v_num=ld_0, val_loss=0.612, train_loss=0.531]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.57it/s, v_num=ld_0, val_loss=0.606, train_loss=0.531]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.31it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 69.55it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 68.18it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.32it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.66it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.14it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.70it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.07it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.74it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.58it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.30it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.92it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.69it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.91it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.70it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.89it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.71it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.16it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.00it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.01it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.87it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.95it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.82it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.86it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.74it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.35it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.24it/s, v_num=ld_0, val_loss=0.606, train_loss=0.551]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.32it/s, v_num=ld_0, val_loss=0.674, train_loss=0.551]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.07it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 63.56it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 62.35it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.62it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.98it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.05it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.60it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.29it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.92it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.59it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.30it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.09it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.86it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.47it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.28it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.08it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.90it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.16it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.00it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.25it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.11it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.41it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.28it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.51it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.39it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.94it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.83it/s, v_num=ld_0, val_loss=0.674, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.81it/s, v_num=ld_0, val_loss=0.607, train_loss=0.527]
Epoch 12: 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=0.607, train_loss=0.553]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 63.98it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 62.62it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.37it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.74it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.00it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.56it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.74it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.39it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.43it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.14it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.17it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.91it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.49it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.29it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.78it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.60it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.11it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.95it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.16it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.02it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.47it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.34it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.50it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.38it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13: 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=0.607, train_loss=0.553]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.46it/s, v_num=ld_0, val_loss=0.607, train_loss=0.553]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.35it/s, v_num=ld_0, val_loss=0.646, train_loss=0.553]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.09it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 62.63it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 61.44it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.79it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.11it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.79it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.33it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.63it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.30it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.91it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.65it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.86it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.63it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.43it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.23it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.46it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.29it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.76it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.61it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.86it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.72it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.97it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.82it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.43it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.30it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.68it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.55it/s, v_num=ld_0, val_loss=0.646, train_loss=0.539]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.85it/s, v_num=ld_0, val_loss=0.603, train_loss=0.539]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.60it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 67.98it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 66.57it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.71it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.98it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.29it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.71it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.01it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.62it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.42it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.12it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.50it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.23it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.72it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.49it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.16it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.98it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.30it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.13it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.52it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.36it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.23it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.09it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.29it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.17it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.75it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.64it/s, v_num=ld_0, val_loss=0.603, train_loss=0.560]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.84it/s, v_num=ld_0, val_loss=0.605, train_loss=0.560]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.58it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 68.30it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 66.90it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.54it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.83it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.83it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.31it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.37it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.99it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.97it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.66it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.49it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.22it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.27it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.94it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.12it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.93it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.58it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.43it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.53it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.40it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.92it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.79it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.07it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.94it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.23it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.11it/s, v_num=ld_0, val_loss=0.605, train_loss=0.555]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.49it/s, v_num=ld_0, val_loss=0.604, train_loss=0.555]
Epoch 16: 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=0.604, train_loss=0.552]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 66.85it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 65.46it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.00it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.38it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.53it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.08it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.25it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.91it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.92it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.67it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.20it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.95it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.66it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.44it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.77it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.58it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.59it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.42it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.47it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.31it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.34it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.20it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.21it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.09it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.18it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.07it/s, v_num=ld_0, val_loss=0.604, train_loss=0.552]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.89it/s, v_num=ld_0, val_loss=0.612, train_loss=0.552]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.65it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 60.70it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 59.24it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.11it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.40it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.25it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.72it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.29it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.93it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.89it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.60it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.56it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.33it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.05it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.85it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.03it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.86it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.32it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.17it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.67it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.54it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.19it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.03it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.50it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.39it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.08it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.98it/s, v_num=ld_0, val_loss=0.612, train_loss=0.544]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.35it/s, v_num=ld_0, val_loss=0.599, train_loss=0.544]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.12it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 64.21it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 63.05it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.59it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.94it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.63it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.19it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.65it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.31it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.86it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.57it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.39it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.13it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.75it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.54it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.13it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.95it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.28it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.12it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.53it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.38it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.61it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.47it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.74it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.61it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.58it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.46it/s, v_num=ld_0, val_loss=0.599, train_loss=0.523]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.30it/s, v_num=ld_0, val_loss=0.626, train_loss=0.523]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.04it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 68.15it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 66.84it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.91it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.24it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.95it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.48it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.80it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.41it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.12it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.82it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.77it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.51it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.84it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.62it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.99it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.78it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.68it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.49it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.52it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.35it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.16it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.00it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.51it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.38it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.75it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.58it/s, v_num=ld_0, val_loss=0.626, train_loss=0.520]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.59it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.34it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 67.76it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 66.28it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.12it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.46it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.81it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.36it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.31it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.89it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.21it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.89it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.34it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.10it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.69it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.49it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.19it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.02it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.69it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.54it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.92it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.78it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.80it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.66it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.97it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.85it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21: 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=0.623, train_loss=0.520]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.35it/s, v_num=ld_0, val_loss=0.623, train_loss=0.520]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.43it/s, v_num=ld_0, val_loss=0.617, train_loss=0.520]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.18it/s, v_num=ld_0, val_loss=0.617, train_loss=0.516]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.79it/s, v_num=ld_0, val_loss=0.617, train_loss=0.516]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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            0.912238359451294
      Accuracy_val           0.800000011920929
        val_loss            0.6165602207183838
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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, 30.45it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 29.94it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.84it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.54it/s, v_num=ld_1]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 38.23it/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:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 43.38it/s, v_num=ld_1]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 43.25it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.24it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.12it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.27it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.15it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 52.69it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 52.58it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 54.40it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 54.30it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 56.02it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 55.93it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 57.41it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 57.32it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 58.61it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 58.52it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.70it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.62it/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, 60.77it/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, 60.70it/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, 55.48it/s, v_num=ld_1, val_loss=0.616]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.28it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 72.22it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 70.59it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.08it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.32it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.64it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.12it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.35it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.97it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.19it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.78it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.26it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.02it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.21it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.99it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.31it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.12it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.38it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.21it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.49it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.33it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.18it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.04it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.25it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.12it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.52it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.41it/s, v_num=ld_1, val_loss=0.616, train_loss=0.667]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.06it/s, v_num=ld_1, val_loss=0.574, train_loss=0.667]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.79it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 73.28it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 71.75it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.58it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.82it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.26it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.70it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.48it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.07it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.61it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.31it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.67it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.42it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.87it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.66it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.99it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.79it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 73.03it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.84it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.40it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.24it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.38it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.24it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.38it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.25it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.69it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.57it/s, v_num=ld_1, val_loss=0.574, train_loss=0.605]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.20it/s, v_num=ld_1, val_loss=0.580, train_loss=0.605]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.93it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 69.28it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 67.92it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.73it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.06it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.41it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.96it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.25it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.90it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.96it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.68it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.52it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.26it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.56it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.32it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.64it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.44it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.34it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.17it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.47it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.32it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.48it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.34it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.61it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.49it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.04it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.93it/s, v_num=ld_1, val_loss=0.580, train_loss=0.589]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.78it/s, v_num=ld_1, val_loss=0.587, train_loss=0.589]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.50it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 67.09it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 65.67it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.57it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.88it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.36it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.86it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.51it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.14it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.85it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.56it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.34it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.10it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.53it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.30it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.60it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.41it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.24it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.06it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.19it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.03it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.26it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.11it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.32it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.18it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.58it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.45it/s, v_num=ld_1, val_loss=0.587, train_loss=0.592]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.41it/s, v_num=ld_1, val_loss=0.561, train_loss=0.592]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.14it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 64.48it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 63.27it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.95it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.30it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.33it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.78it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.64it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.28it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.14it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.82it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.58it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.32it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.46it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.25it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.68it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.48it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.61it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.43it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.68it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.52it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.51it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.37it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.23it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.10it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.26it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.15it/s, v_num=ld_1, val_loss=0.561, train_loss=0.602]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.23it/s, v_num=ld_1, val_loss=0.565, train_loss=0.602]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.98it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 69.53it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 68.02it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.03it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.25it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.00it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.44it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.36it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.00it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.93it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.61it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.68it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.44it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.06it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.86it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.41it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.23it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.64it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.46it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.64it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.47it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.68it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.52it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.43it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.31it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.85it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.73it/s, v_num=ld_1, val_loss=0.565, train_loss=0.581]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.44it/s, v_num=ld_1, val_loss=0.527, train_loss=0.581]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.10it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 68.94it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 67.51it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.12it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.40it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.87it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.37it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.58it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.20it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.18it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.90it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.61it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.35it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.30it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.07it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.30it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.10it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.24it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.04it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.88it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.70it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.62it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.45it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.47it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.35it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.91it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.79it/s, v_num=ld_1, val_loss=0.527, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.01it/s, v_num=ld_1, val_loss=0.546, train_loss=0.571]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.77it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 70.84it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 69.45it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.97it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.20it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.14it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.63it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.69it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.34it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.36it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.07it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.84it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.60it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.13it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.92it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.29it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.11it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.45it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.29it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.20it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.05it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.44it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.31it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.50it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.37it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.78it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.66it/s, v_num=ld_1, val_loss=0.546, train_loss=0.555]
Epoch 8: 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=0.558, train_loss=0.555]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.10it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 71.81it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 70.38it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.61it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.82it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.51it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.99it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.06it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.69it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.28it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.98it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.48it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.23it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.44it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.24it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.41it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.21it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.81it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.64it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.88it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.72it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.07it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.92it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.23it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.10it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.58it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.47it/s, v_num=ld_1, val_loss=0.558, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.80it/s, v_num=ld_1, val_loss=0.596, train_loss=0.571]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.52it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 65.96it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 64.54it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.88it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.22it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.23it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.77it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.06it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.71it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.59it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.30it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.51it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.27it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.15it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.94it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.41it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.24it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.85it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.70it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 69.13it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.97it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.32it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.19it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.43it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.31it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.72it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.61it/s, v_num=ld_1, val_loss=0.596, train_loss=0.592]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.72it/s, v_num=ld_1, val_loss=0.584, train_loss=0.592]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.46it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 61.30it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 60.22it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.61it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.99it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.79it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.36it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.09it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.75it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.60it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.26it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.16it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.88it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.13it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.89it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.16it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.98it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.45it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.30it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.84it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.68it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.24it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.12it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.62it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.51it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.97it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.86it/s, v_num=ld_1, val_loss=0.584, train_loss=0.593]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.07it/s, v_num=ld_1, val_loss=0.560, train_loss=0.593]
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=0.560, train_loss=0.580]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 69.28it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 67.75it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.96it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.26it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.83it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.32it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.83it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.48it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.86it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.55it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.01it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.77it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.13it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.91it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.04it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.84it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.10it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.94it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.21it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.05it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.19it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.05it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.74it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.62it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.00it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.89it/s, v_num=ld_1, val_loss=0.560, train_loss=0.580]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.86it/s, v_num=ld_1, val_loss=0.554, train_loss=0.580]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.61it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 69.58it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 68.22it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.84it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.10it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.07it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.57it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.20it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.77it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.37it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.05it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.60it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.32it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.42it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.19it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.30it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.10it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.44it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.27it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.44it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.29it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.09it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.93it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.95it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.83it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.23it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.10it/s, v_num=ld_1, val_loss=0.554, train_loss=0.560]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.08it/s, v_num=ld_1, val_loss=0.565, train_loss=0.560]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.82it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 66.35it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 65.10it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.38it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.73it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.54it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.08it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.23it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.92it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.31it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.06it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.07it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.86it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.20it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.01it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.81it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.64it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.92it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.77it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.80it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.65it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.55it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.43it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.70it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.58it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.26it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.15it/s, v_num=ld_1, val_loss=0.565, train_loss=0.565]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.67it/s, v_num=ld_1, val_loss=0.570, train_loss=0.565]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.42it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 60.34it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 59.28it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.96it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.36it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.19it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 61.81it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.83it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.45it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.94it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.68it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.76it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.55it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.55it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.37it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.23it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.07it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.63it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.49it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.07it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.95it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.33it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.22it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.47it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.37it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.14it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.03it/s, v_num=ld_1, val_loss=0.570, train_loss=0.572]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.78it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.55it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 64.91it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 63.55it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.27it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.60it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.86it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.42it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.61it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.26it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.26it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.98it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.93it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.65it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.99it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.78it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.64it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.47it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.07it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.90it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.35it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.20it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.11it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.98it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.35it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.25it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.13it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.04it/s, v_num=ld_1, val_loss=0.550, train_loss=0.572]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.97it/s, v_num=ld_1, val_loss=0.558, train_loss=0.572]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.73it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 61.40it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 60.34it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.56it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.96it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.91it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.52it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.73it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.40it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.32it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.93it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.63it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.41it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.12it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.94it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.34it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.18it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.79it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.65it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.80it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.67it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.47it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.35it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17:  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=0.558, train_loss=0.555]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.87it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.33it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.23it/s, v_num=ld_1, val_loss=0.558, train_loss=0.555]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.67it/s, v_num=ld_1, val_loss=0.552, train_loss=0.555]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.42it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 65.29it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 63.88it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.00it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.34it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.00it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.50it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.88it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.53it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.90it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.63it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.82it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.61it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.45it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.27it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.32it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.17it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.81it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.67it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.72it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.59it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.12it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.99it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.53it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.41it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.01it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.90it/s, v_num=ld_1, val_loss=0.552, train_loss=0.565]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.57it/s, v_num=ld_1, val_loss=0.530, train_loss=0.565]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.33it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 67.08it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 65.69it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.37it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.68it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.75it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.29it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.79it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.43it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.33it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.07it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.37it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.13it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.60it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.42it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.22it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.05it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.64it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.49it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.93it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.80it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.09it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.97it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.27it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.16it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.82it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.71it/s, v_num=ld_1, val_loss=0.530, train_loss=0.551]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.03it/s, v_num=ld_1, val_loss=0.543, train_loss=0.551]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.79it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 67.17it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 65.88it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.48it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.75it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.56it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.06it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.68it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.34it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.75it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.48it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.45it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.23it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.18it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.99it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.96it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.79it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.51it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.37it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.21it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.09it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.61it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.48it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.37it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.26it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.68it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.58it/s, v_num=ld_1, val_loss=0.543, train_loss=0.560]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.17it/s, v_num=ld_1, val_loss=0.557, train_loss=0.560]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.94it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 59.83it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 58.80it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.31it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.70it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.64it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.23it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.07it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.72it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.70it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.40it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.58it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.35it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.06it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.86it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.71it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.54it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.61it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.47it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.55it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.41it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.96it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.84it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.65it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.54it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.35it/s, v_num=ld_1, val_loss=0.557, train_loss=0.562]
Epoch 21: 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=0.557, train_loss=0.562]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.89it/s, v_num=ld_1, val_loss=0.567, train_loss=0.562]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.66it/s, v_num=ld_1, val_loss=0.567, train_loss=0.563]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.30it/s, v_num=ld_1, val_loss=0.567, train_loss=0.563]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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           0.8971847295761108
      Accuracy_val          0.7799999713897705
        val_loss            0.5671014189720154
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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, 30.21it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 29.66it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.32it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.01it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.84it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.69it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.77it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.63it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.41it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.26it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.85it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.72it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.06it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.94it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.92it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.82it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.27it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.17it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.16it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.06it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.17it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.06it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.98it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.89it/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, 57.50it/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, 57.42it/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, 52.60it/s, v_num=ld_2, val_loss=0.685]
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_2, val_loss=0.685, train_loss=0.698]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 67.07it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 65.56it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.76it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.00it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.40it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.87it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.97it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.56it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.91it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.56it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.63it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.36it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.55it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.32it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.49it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.28it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.49it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.30it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.90it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.74it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.59it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.09it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.46it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.34it/s, v_num=ld_2, val_loss=0.685, train_loss=0.698]
Epoch 1: 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=0.693, train_loss=0.698]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.45it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 66.09it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 64.78it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.74it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.02it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.55it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.12it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.30it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.96it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.75it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.47it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.92it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.70it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.25it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.57it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.38it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.21it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.05it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.49it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.35it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.79it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.67it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.10it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.99it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.48it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.82it/s, v_num=ld_2, val_loss=0.693, train_loss=0.674]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.58it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 65.94it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 64.46it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.36it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.63it/s, v_num=ld_2, 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_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.61it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.78it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.53it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.26it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.96it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.73it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.23it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.03it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.04it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.84it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.23it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.07it/s, v_num=ld_2, 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, 68.14it/s, v_num=ld_2, 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, 67.93it/s, v_num=ld_2, 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, 68.16it/s, v_num=ld_2, 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, 68.03it/s, v_num=ld_2, 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, 68.07it/s, v_num=ld_2, 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, 67.96it/s, v_num=ld_2, 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, 68.11it/s, v_num=ld_2, 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, 68.00it/s, v_num=ld_2, 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, 62.21it/s, v_num=ld_2, 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, 61.97it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 63.08it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 61.89it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.62it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.97it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.36it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.91it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.86it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.52it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.30it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.02it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.51it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.73it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.53it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.88it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.73it/s, v_num=ld_2, 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, 68.18it/s, v_num=ld_2, 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, 68.03it/s, v_num=ld_2, 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, 68.38it/s, v_num=ld_2, 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, 68.25it/s, v_num=ld_2, 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, 68.47it/s, v_num=ld_2, 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, 68.36it/s, v_num=ld_2, 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, 68.62it/s, v_num=ld_2, 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, 68.51it/s, v_num=ld_2, 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, 62.66it/s, v_num=ld_2, 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, 62.41it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 64.20it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 62.99it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.86it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.22it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.45it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.95it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.41it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.06it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.02it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.79it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.21it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.02it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.44it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.27it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.74it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.59it/s, v_num=ld_2, 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, 67.93it/s, v_num=ld_2, 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, 67.79it/s, v_num=ld_2, 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, 67.97it/s, v_num=ld_2, 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, 67.84it/s, v_num=ld_2, 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, 67.89it/s, v_num=ld_2, 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, 67.78it/s, v_num=ld_2, 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, 68.31it/s, v_num=ld_2, 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, 68.20it/s, v_num=ld_2, 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, 62.41it/s, v_num=ld_2, 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, 62.14it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 67.24it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 65.77it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.46it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.79it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.98it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.52it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.04it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.68it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.56it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.29it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.93it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.70it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.14it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.03it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.86it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.37it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.22it/s, v_num=ld_2, 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, 68.66it/s, v_num=ld_2, 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, 68.53it/s, v_num=ld_2, 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, 68.47it/s, v_num=ld_2, 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, 68.35it/s, v_num=ld_2, 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, 68.56it/s, v_num=ld_2, 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, 68.44it/s, v_num=ld_2, 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, 68.76it/s, v_num=ld_2, 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, 68.66it/s, v_num=ld_2, 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, 62.84it/s, v_num=ld_2, 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, 62.58it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 65.64it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 64.45it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.34it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.67it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.98it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.52it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.50it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.17it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.17it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.89it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.15it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.92it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.39it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.68it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
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=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.06it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.92it/s, v_num=ld_2, 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, 67.81it/s, v_num=ld_2, 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, 67.68it/s, v_num=ld_2, 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, 68.20it/s, v_num=ld_2, 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, 68.08it/s, v_num=ld_2, 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, 68.24it/s, v_num=ld_2, 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, 68.13it/s, v_num=ld_2, 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, 68.71it/s, v_num=ld_2, 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, 68.60it/s, v_num=ld_2, 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, 62.60it/s, v_num=ld_2, 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, 62.35it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 62.81it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 61.56it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.68it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.99it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.91it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.52it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.71it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.40it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.78it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.50it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.20it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.99it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.24it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.54it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.35it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.00it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.84it/s, v_num=ld_2, 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, 65.86it/s, v_num=ld_2, 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, 65.72it/s, v_num=ld_2, 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, 66.15it/s, v_num=ld_2, 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, 66.03it/s, v_num=ld_2, 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, 66.35it/s, v_num=ld_2, 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, 66.24it/s, v_num=ld_2, 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, 66.78it/s, v_num=ld_2, 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, 66.68it/s, v_num=ld_2, 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, 61.14it/s, v_num=ld_2, 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, 60.91it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 62.40it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 61.17it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.49it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.87it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.75it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.29it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.14it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.80it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.50it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.24it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.40it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.05it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.86it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.59it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.91it/s, v_num=ld_2, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.76it/s, v_num=ld_2, 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, 67.33it/s, v_num=ld_2, 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, 67.18it/s, v_num=ld_2, 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, 67.63it/s, v_num=ld_2, 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, 67.49it/s, v_num=ld_2, 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, 67.92it/s, v_num=ld_2, 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, 67.80it/s, v_num=ld_2, 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, 68.45it/s, v_num=ld_2, 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, 68.34it/s, v_num=ld_2, 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, 62.57it/s, v_num=ld_2, val_loss=0.638, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.32it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 63.28it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 61.97it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.79it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.13it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.81it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.33it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.21it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.84it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.14it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.94it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.66it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.22it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.01it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.61it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.31it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.15it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.74it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.59it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.93it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.78it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.07it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.95it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.09it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.97it/s, v_num=ld_2, val_loss=0.638, train_loss=0.692]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.78it/s, v_num=ld_2, val_loss=0.602, train_loss=0.692]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.53it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 68.93it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 67.57it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.57it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.78it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.69it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.13it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.50it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.12it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.63it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.52it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.26it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.55it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.34it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.76it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.57it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.72it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.55it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.84it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.69it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.15it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.02it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.85it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11:  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=0.602, train_loss=0.626]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.19it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.08it/s, v_num=ld_2, val_loss=0.602, train_loss=0.626]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.39it/s, v_num=ld_2, val_loss=0.591, train_loss=0.626]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.15it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 67.73it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 66.35it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.99it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.32it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.40it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.95it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.72it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.36it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.71it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.21it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.99it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.26it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.06it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.33it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.14it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.23it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.07it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.66it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.32it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.19it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.30it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.13it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.72it/s, v_num=ld_2, val_loss=0.606, train_loss=0.604]
Epoch 12: 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=0.606, train_loss=0.588]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 68.56it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 67.21it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.97it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.45it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.71it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.27it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 62.12it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.82it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.33it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.08it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.93it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.71it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.38it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.15it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.00it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 63.80it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.05it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.89it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.90it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.76it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.32it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.21it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.77it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.67it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
Epoch 13: 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=0.606, train_loss=0.588]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.28it/s, v_num=ld_2, val_loss=0.606, train_loss=0.588]
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_2, val_loss=0.596, train_loss=0.588]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.77it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 70.02it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 68.46it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.08it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.24it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.21it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.69it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.16it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.77it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.65it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.34it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.09it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.52it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.28it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.74it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.53it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.05it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.86it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.78it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.61it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  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=0.596, train_loss=0.624]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.60it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.48it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.94it/s, v_num=ld_2, val_loss=0.596, train_loss=0.624]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.42it/s, v_num=ld_2, val_loss=0.588, train_loss=0.624]
Epoch 14: 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=0.588, train_loss=0.604]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 62.78it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 61.47it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.71it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.06it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.93it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.45it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.57it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.23it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.60it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.32it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.55it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.29it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.44it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.22it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.46it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.28it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.95it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.79it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.40it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.26it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.86it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.73it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.04it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.93it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.65it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.55it/s, v_num=ld_2, val_loss=0.588, train_loss=0.604]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.79it/s, v_num=ld_2, val_loss=0.609, train_loss=0.604]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.55it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 61.23it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 60.11it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.16it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.53it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.90it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.45it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.98it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.65it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.43it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.17it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.60it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.37it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.27it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.09it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.02it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.85it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.95it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.17it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.02it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.26it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.12it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.36it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.43it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.30it/s, v_num=ld_2, val_loss=0.609, train_loss=0.588]
Epoch 16: 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=0.597, train_loss=0.588]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.45it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 65.21it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 63.70it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.77it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.03it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.50it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.02it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.49it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.13it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.42it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.10it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.42it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.46it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.26it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.76it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.59it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.48it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.32it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.61it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.47it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.92it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.79it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.04it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.93it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.63it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.52it/s, v_num=ld_2, val_loss=0.597, train_loss=0.601]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.80it/s, v_num=ld_2, val_loss=0.605, train_loss=0.601]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.56it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 64.53it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 62.87it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.24it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.63it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.70it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.22it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.16it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.78it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.26it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 63.97it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.15it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.91it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.28it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.07it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.65it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.49it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.14it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.99it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.53it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.40it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.72it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.59it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18:  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=0.605, train_loss=0.597]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.63it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.53it/s, v_num=ld_2, val_loss=0.605, train_loss=0.597]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.88it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.63it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 61.57it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 60.48it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.39it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 61.81it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 52.23it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.92it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.61it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.37it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.82it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.61it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.00it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.81it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.86it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.72it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.32it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.21it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 50.75it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 50.64it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 51.80it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 51.71it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 52.95it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 52.86it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 53.67it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 53.58it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.60it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.51it/s, v_num=ld_2, val_loss=0.574, train_loss=0.602]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 50.65it/s, v_num=ld_2, val_loss=0.585, train_loss=0.602]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 50.47it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 64.97it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 63.77it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.66it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.92it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.21it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.74it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.36it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.02it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.57it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.29it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.10it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.87it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.22it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.01it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.56it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.39it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.25it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.10it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.96it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.82it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.10it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.97it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.56it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.45it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20: 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=0.585, train_loss=0.600]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.585, train_loss=0.600]
Epoch 20: 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=0.592, train_loss=0.600]
Epoch 20: 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=0.592, train_loss=0.599]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 59.11it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 58.07it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.81it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.22it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.71it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.29it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.72it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.38it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.28it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.02it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.33it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.13it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.39it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.20it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.51it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.35it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.70it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.54it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.94it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.81it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.11it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.99it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.62it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.52it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.34it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.24it/s, v_num=ld_2, val_loss=0.592, train_loss=0.599]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.90it/s, v_num=ld_2, val_loss=0.589, train_loss=0.599]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.64it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 65.09it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 63.75it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.60it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.90it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.60it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.15it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 48.81it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 48.61it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 51.38it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 51.18it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 53.21it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 53.05it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 54.86it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 54.74it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.11it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.02it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 50.80it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 50.71it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 52.42it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 52.34it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 53.82it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 53.74it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 55.09it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 55.01it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.13it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.06it/s, v_num=ld_2, val_loss=0.589, train_loss=0.605]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 52.16it/s, v_num=ld_2, val_loss=0.628, train_loss=0.605]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 52.00it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 63.62it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 62.45it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.89it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.27it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.01it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.54it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.88it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.52it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.43it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.16it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.68it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.45it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.43it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.91it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.73it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.04it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.88it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.74it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.60it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.62it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.48it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.11it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.98it/s, v_num=ld_2, val_loss=0.628, train_loss=0.604]
Epoch 23: 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=0.628, train_loss=0.604]
Epoch 23: 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=0.628, train_loss=0.604]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.69it/s, v_num=ld_2, val_loss=0.591, train_loss=0.604]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.46it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 70.40it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 68.94it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.86it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.14it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.80it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.33it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.09it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.71it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.40it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.13it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.90it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.67it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.21it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.00it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.74it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.57it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.91it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.76it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.21it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.23it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  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=0.591, train_loss=0.585]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.72it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.60it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.33it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.23it/s, v_num=ld_2, val_loss=0.591, train_loss=0.585]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.68it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.44it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 31.61it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 31.30it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 43.19it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 42.91it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 48.88it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 48.61it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 52.98it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 52.76it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 55.59it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 55.41it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.75it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.59it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 58.24it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 58.10it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 59.78it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 59.64it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.98it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.85it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.65it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.53it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.02it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.92it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 58.71it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 58.62it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.51it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.42it/s, v_num=ld_2, val_loss=0.598, train_loss=0.585]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.02it/s, v_num=ld_2, val_loss=0.657, train_loss=0.585]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.83it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 70.89it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 69.46it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.37it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.67it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.14it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.92it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.58it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.60it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.33it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.69it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.46it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.83it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.64it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.25it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.07it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.45it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.30it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.76it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.63it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  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=0.657, train_loss=0.593]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 67.76it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.67it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 67.55it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.87it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.77it/s, v_num=ld_2, val_loss=0.657, train_loss=0.593]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.07it/s, v_num=ld_2, val_loss=0.590, train_loss=0.593]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.83it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 63.65it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 62.44it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.45it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.80it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.23it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.92it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.59it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.71it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.36it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.44it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.20it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.15it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.92it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.41it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.21it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.27it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.09it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.57it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.43it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.13it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.01it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.09it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.97it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.74it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.64it/s, v_num=ld_2, val_loss=0.590, train_loss=0.600]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.99it/s, v_num=ld_2, val_loss=0.595, train_loss=0.600]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 55.77it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 58.18it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 56.94it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.84it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.18it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 59.18it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 58.80it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 61.20it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 60.88it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.85it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.57it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.57it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.33it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.65it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.47it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.27it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.11it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.62it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.47it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.97it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 65.83it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.03it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.90it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28:  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=0.595, train_loss=0.594]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.06it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.26it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.16it/s, v_num=ld_2, val_loss=0.595, train_loss=0.594]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.52it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.25it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 71.65it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 70.20it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.84it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.10it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.55it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.02it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.32it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.95it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.63it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.31it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.41it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.16it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.27it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.03it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.47it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.27it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.68it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.51it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.94it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.79it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.22it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 69.09it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.95it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.82it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.45it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.33it/s, v_num=ld_2, val_loss=0.592, train_loss=0.598]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 63.45it/s, v_num=ld_2, val_loss=0.584, train_loss=0.598]
Epoch 29: 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=0.584, train_loss=0.594]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 33.18it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 32.81it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.97it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.77it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 40.95it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 40.77it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 38.76it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 38.59it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 41.65it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 41.52it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 43.16it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 43.04it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 45.45it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 45.34it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 46.81it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 46.71it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.49it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.39it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 49.98it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 49.90it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 51.05it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 50.97it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 52.36it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 52.29it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.65it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.59it/s, v_num=ld_2, val_loss=0.584, train_loss=0.594]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 49.98it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 49.83it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 30:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:   8%|โ–Š         | 1/13 [00:00<00:00, 70.27it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:   8%|โ–Š         | 1/13 [00:00<00:00, 68.80it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 49.85it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 49.45it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 53.09it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 52.79it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 56.10it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 55.86it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.48it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.28it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.20it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.04it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.00it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.88it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.11it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.00it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.80it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 53.70it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 54.20it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 54.10it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 55.42it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 55.35it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.48it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 56.40it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.65it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.57it/s, v_num=ld_2, val_loss=0.588, train_loss=0.594]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.49it/s, v_num=ld_2, val_loss=0.574, train_loss=0.594]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.31it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 31:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:   8%|โ–Š         | 1/13 [00:00<00:00, 72.84it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:   8%|โ–Š         | 1/13 [00:00<00:00, 71.34it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.92it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 60.31it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.14it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.72it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 66.20it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.85it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.99it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.73it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 68.13it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.90it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.96it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 68.77it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.77it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.57it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.17it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.00it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.89it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.75it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.28it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.15it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.44it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.32it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.60it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.50it/s, v_num=ld_2, val_loss=0.574, train_loss=0.597]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.23it/s, v_num=ld_2, val_loss=0.568, train_loss=0.597]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.99it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 32:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:   8%|โ–Š         | 1/13 [00:00<00:00, 61.66it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:   8%|โ–Š         | 1/13 [00:00<00:00, 60.51it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.86it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.21it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.30it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.85it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.79it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.42it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.16it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 57.96it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.57it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.40it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.20it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.04it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.90it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.73it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.76it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.61it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.76it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.62it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.09it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.97it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.81it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.70it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.58it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.48it/s, v_num=ld_2, val_loss=0.568, train_loss=0.601]
Epoch 33: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.24it/s, v_num=ld_2, val_loss=0.570, train_loss=0.601]
Epoch 33: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.02it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 33:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:   8%|โ–Š         | 1/13 [00:00<00:00, 64.41it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:   8%|โ–Š         | 1/13 [00:00<00:00, 62.88it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.67it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.94it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.90it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.42it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.72it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.35it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.08it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.79it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.78it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.57it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 55.63it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 55.49it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 56.95it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 56.83it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 58.35it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 58.24it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.51it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 59.41it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.81it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 59.70it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.68it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 60.58it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.37it/s, v_num=ld_2, val_loss=0.570, train_loss=0.605]
Epoch 34: 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=0.570, train_loss=0.605]
Epoch 34: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.45it/s, v_num=ld_2, val_loss=0.572, train_loss=0.605]
Epoch 34: 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=0.572, train_loss=0.600]
Epoch 34:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:   8%|โ–Š         | 1/13 [00:00<00:00, 69.28it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:   8%|โ–Š         | 1/13 [00:00<00:00, 67.89it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.70it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.95it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.54it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.04it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.13it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.74it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.00it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.70it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.81it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.54it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.25it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.04it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.48it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.27it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.82it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.61it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.96it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.80it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 66.07it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.95it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.26it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 66.14it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.50it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.39it/s, v_num=ld_2, val_loss=0.572, train_loss=0.600]
Epoch 35: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.92it/s, v_num=ld_2, val_loss=0.592, train_loss=0.600]
Epoch 35: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.68it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 35:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:   8%|โ–Š         | 1/13 [00:00<00:00, 65.13it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:   8%|โ–Š         | 1/13 [00:00<00:00, 63.94it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.38it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.69it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.69it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.44it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.01it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 53.79it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.93it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.74it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.66it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.50it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.13it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 59.98it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.18it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.04it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.37it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.24it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.63it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.52it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.08it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 62.97it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.89it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 63.80it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.79it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.70it/s, v_num=ld_2, val_loss=0.592, train_loss=0.594]
Epoch 36: 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=0.605, train_loss=0.594]
Epoch 36: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.28it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 36:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:   8%|โ–Š         | 1/13 [00:00<00:00, 64.89it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:   8%|โ–Š         | 1/13 [00:00<00:00, 63.69it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.31it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.65it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.78it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.27it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.89it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 67.54it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.50it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 67.22it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.03it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.80it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.95it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.74it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.30it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.12it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.78it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 67.59it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.70it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 67.56it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  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=0.605, train_loss=0.593]
Epoch 37:  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=0.605, train_loss=0.593]
Epoch 37:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.30it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.18it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.70it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.59it/s, v_num=ld_2, val_loss=0.605, train_loss=0.593]
Epoch 37: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.81it/s, v_num=ld_2, val_loss=0.598, train_loss=0.593]
Epoch 37: 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=0.598, train_loss=0.603]
Epoch 37:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:   8%|โ–Š         | 1/13 [00:00<00:00, 71.74it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:   8%|โ–Š         | 1/13 [00:00<00:00, 70.31it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.37it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.67it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 63.12it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 62.70it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.81it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.50it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.18it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.94it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.59it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.38it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.94it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.77it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.93it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.78it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.28it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.15it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 61.09it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.97it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.43it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.33it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.75it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.66it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.69it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.60it/s, v_num=ld_2, val_loss=0.598, train_loss=0.603]
Epoch 38: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.81it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 38: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.60it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 38:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:   8%|โ–Š         | 1/13 [00:00<00:00, 64.02it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:   8%|โ–Š         | 1/13 [00:00<00:00, 62.74it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.15it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.48it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.57it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.10it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.45it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.07it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.63it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.31it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.75it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.48it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.04it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.83it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.52it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.24it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.53it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.37it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.35it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.20it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.65it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.52it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.36it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.24it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.90it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.79it/s, v_num=ld_2, val_loss=0.603, train_loss=0.603]
Epoch 39: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.77it/s, v_num=ld_2, val_loss=0.583, train_loss=0.603]
Epoch 39: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.50it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 39:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:   8%|โ–Š         | 1/13 [00:00<00:00, 67.85it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:   8%|โ–Š         | 1/13 [00:00<00:00, 66.56it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.55it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.87it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 50.78it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 50.52it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.99it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.77it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 57.91it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 57.71it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.28it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.09it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.04it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 60.89it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.05it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 61.91it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.23it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.10it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.20it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 64.08it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 65.01it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 64.90it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40:  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=0.583, train_loss=0.598]
Epoch 40:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 65.63it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.27it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 66.17it/s, v_num=ld_2, val_loss=0.583, train_loss=0.598]
Epoch 40: 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=0.580, train_loss=0.598]
Epoch 40: 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=0.580, train_loss=0.588]
Epoch 40:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:   8%|โ–Š         | 1/13 [00:00<00:00, 69.98it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:   8%|โ–Š         | 1/13 [00:00<00:00, 68.53it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.76it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.02it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.39it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.85it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.04it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.65it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.59it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.27it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.06it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.81it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.37it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.16it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.81it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.62it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.80it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.64it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.76it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.62it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.01it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.88it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.52it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.40it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.10it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.99it/s, v_num=ld_2, val_loss=0.580, train_loss=0.588]
Epoch 41: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.77it/s, v_num=ld_2, val_loss=0.577, train_loss=0.588]
Epoch 41: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.54it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 41:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:   8%|โ–Š         | 1/13 [00:00<00:00, 72.06it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:   8%|โ–Š         | 1/13 [00:00<00:00, 70.56it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.34it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 69.62it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.36it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 70.87it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.72it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.32it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.33it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.04it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.61it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.35it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.90it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.68it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.05it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.85it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.95it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.77it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.25it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.09it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.85it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 70.70it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.86it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 70.74it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.30it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.19it/s, v_num=ld_2, val_loss=0.577, train_loss=0.596]
Epoch 42: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.07it/s, v_num=ld_2, val_loss=0.584, train_loss=0.596]
Epoch 42: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.81it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 42:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:   8%|โ–Š         | 1/13 [00:00<00:00, 73.94it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:   8%|โ–Š         | 1/13 [00:00<00:00, 72.30it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 74.18it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.41it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.02it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.43it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.23it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.84it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.10it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.81it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.99it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.82it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 53.14it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 53.02it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 55.06it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 54.94it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 56.56it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 56.45it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 57.72it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 57.61it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 58.93it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 58.83it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.96it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 59.88it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.00it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 60.91it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.32it/s, v_num=ld_2, val_loss=0.584, train_loss=0.589]
Epoch 43: 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, val_loss=0.584, train_loss=0.586]
Epoch 43:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:   8%|โ–Š         | 1/13 [00:00<00:00, 72.34it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:   8%|โ–Š         | 1/13 [00:00<00:00, 70.86it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 52.46it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 52.02it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.47it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.10it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 49.81it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 49.60it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 52.86it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 52.67it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 55.02it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 54.85it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.95it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.80it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.62it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.48it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.24it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.12it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.13it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.03it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.01it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 60.91it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.79it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.70it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.70it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.61it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.74it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.53it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 44:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:   8%|โ–Š         | 1/13 [00:00<00:00, 62.25it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:   8%|โ–Š         | 1/13 [00:00<00:00, 61.05it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.77it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.13it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.94it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.48it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.25it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.90it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.23it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.04it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 54.61it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 54.46it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.69it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.56it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 58.03it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 57.91it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.42it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 59.30it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.38it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 60.26it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.10it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.00it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.87it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.77it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.79it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.71it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.83it/s, v_num=ld_2, val_loss=0.584, train_loss=0.586]
Epoch 45: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.62it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 45:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:   8%|โ–Š         | 1/13 [00:00<00:00, 68.07it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:   8%|โ–Š         | 1/13 [00:00<00:00, 66.60it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 43.12it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 42.83it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.60it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.36it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 53.96it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 53.75it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.55it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 56.37it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.55it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 57.37it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 59.40it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 59.26it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.56it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 60.43it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.79it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 61.67it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.62it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 62.51it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.43it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 63.32it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.14it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 64.04it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.66it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.57it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 59.21it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 58.99it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 46:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:   8%|โ–Š         | 1/13 [00:00<00:00, 70.58it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:   8%|โ–Š         | 1/13 [00:00<00:00, 69.18it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.57it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.85it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.90it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.42it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 57.38it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 57.01it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 59.06it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.82it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 60.02it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 59.84it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.41it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 61.25it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.20it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 62.05it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 63.07it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 62.93it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.69it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 63.56it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.37it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 61.27it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.28it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 61.20it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.18it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.09it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.36it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 57.15it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
Epoch 47: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 56.85it/s, v_num=ld_2, val_loss=0.584, train_loss=0.585]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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           0.7781819105148315
      Accuracy_val          0.7699999809265137
        val_loss            0.5835952162742615
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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, 30.79it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 30.28it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 34.39it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 34.08it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 38.06it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.91it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.94it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.82it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.66it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 46.54it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.60it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.48it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.89it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 51.78it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 53.52it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 53.42it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.99it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.90it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.95it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.86it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.97it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.89it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.95it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.88it/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, 59.02it/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, 58.94it/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, 54.19it/s, v_num=ld_3, val_loss=0.693]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 54.00it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 67.15it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 65.90it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.76it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.38it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.13it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.14it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.36it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 67.13it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.64it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.96it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.79it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.22it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.07it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.53it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.39it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.41it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.26it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.27it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 68.13it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.22it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 62.25it/s, v_num=ld_3, val_loss=0.693, train_loss=0.695]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 61.97it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 63.13it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 61.73it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.44it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 62.83it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.93it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.52it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.12it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.82it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.02it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.69it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.46it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.58it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.70it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.71it/s, v_num=ld_3, 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, 64.59it/s, v_num=ld_3, 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, 64.45it/s, v_num=ld_3, 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, 63.90it/s, v_num=ld_3, 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, 63.79it/s, v_num=ld_3, 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, 62.54it/s, v_num=ld_3, 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, 62.44it/s, v_num=ld_3, 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, 63.11it/s, v_num=ld_3, 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, 63.02it/s, v_num=ld_3, 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, 58.11it/s, v_num=ld_3, 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, 57.90it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 61.20it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 60.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 59.36it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 58.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.65it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 60.28it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.05it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 57.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.32it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 58.11it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.85it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 58.68it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.75it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 56.61it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 56.71it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 56.59it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 55.52it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 55.42it/s, v_num=ld_3, 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, 55.07it/s, v_num=ld_3, 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, 54.98it/s, v_num=ld_3, 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, 54.53it/s, v_num=ld_3, 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, 54.45it/s, v_num=ld_3, 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, 54.79it/s, v_num=ld_3, 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, 54.72it/s, v_num=ld_3, 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, 55.23it/s, v_num=ld_3, 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, 55.17it/s, v_num=ld_3, 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, 51.35it/s, v_num=ld_3, 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, 51.18it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 63.03it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 61.93it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 57.47it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 56.99it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 53.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 52.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 50.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 50.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 50.70it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 50.54it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.73it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.61it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.95it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 50.79it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 50.70it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 51.31it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 51.22it/s, v_num=ld_3, 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, 51.15it/s, v_num=ld_3, 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, 51.07it/s, v_num=ld_3, 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, 50.60it/s, v_num=ld_3, 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, 50.53it/s, v_num=ld_3, 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, 50.25it/s, v_num=ld_3, 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, 50.18it/s, v_num=ld_3, 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, 51.05it/s, v_num=ld_3, 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, 50.98it/s, v_num=ld_3, 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, 47.67it/s, v_num=ld_3, 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, 47.52it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 52.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 51.51it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 50.75it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 50.30it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 50.91it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 50.66it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 51.52it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 51.32it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 52.19it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 52.03it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.48it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.35it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.19it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 50.14it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 50.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.04it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 47.93it/s, v_num=ld_3, 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, 47.89it/s, v_num=ld_3, 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, 47.82it/s, v_num=ld_3, 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, 47.24it/s, v_num=ld_3, 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, 47.14it/s, v_num=ld_3, 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, 47.14it/s, v_num=ld_3, 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, 47.08it/s, v_num=ld_3, 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, 48.22it/s, v_num=ld_3, 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, 48.16it/s, v_num=ld_3, 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, 45.23it/s, v_num=ld_3, 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, 45.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 54.68it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 53.74it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 51.73it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 51.34it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.64it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.35it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 52.05it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 51.85it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 53.57it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 53.40it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 52.81it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 52.67it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 53.47it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 53.34it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.60it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.49it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 52.49it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 52.39it/s, v_num=ld_3, 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, 52.13it/s, v_num=ld_3, 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, 52.05it/s, v_num=ld_3, 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, 50.75it/s, v_num=ld_3, 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, 50.68it/s, v_num=ld_3, 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, 50.03it/s, v_num=ld_3, 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, 49.96it/s, v_num=ld_3, 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, 51.03it/s, v_num=ld_3, 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, 50.97it/s, v_num=ld_3, 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, 47.36it/s, v_num=ld_3, 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, 47.23it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 41.59it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 40.96it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 48.46it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 48.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 47.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 47.52it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 48.28it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 48.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.55it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.41it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.88it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.75it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 48.98it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 48.87it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.35it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.26it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 50.07it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 49.99it/s, v_num=ld_3, 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, 50.17it/s, v_num=ld_3, 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, 50.10it/s, v_num=ld_3, 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, 49.62it/s, v_num=ld_3, 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, 49.55it/s, v_num=ld_3, 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, 49.51it/s, v_num=ld_3, 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, 49.45it/s, v_num=ld_3, 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, 49.11it/s, v_num=ld_3, 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, 49.06it/s, v_num=ld_3, 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, 46.04it/s, v_num=ld_3, 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, 45.91it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 50.70it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 49.97it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 48.25it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.36it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.11it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 50.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 50.64it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 51.00it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 50.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.24it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 50.12it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.06it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.95it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.26it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 49.17it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 49.80it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 49.72it/s, v_num=ld_3, 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, 50.16it/s, v_num=ld_3, 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, 50.09it/s, v_num=ld_3, 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, 49.87it/s, v_num=ld_3, 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, 49.80it/s, v_num=ld_3, 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, 49.05it/s, v_num=ld_3, 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, 48.99it/s, v_num=ld_3, 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, 49.64it/s, v_num=ld_3, 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, 49.58it/s, v_num=ld_3, 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, 46.51it/s, v_num=ld_3, 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, 46.37it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 51.50it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 50.68it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.43it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.11it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 45.37it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 45.17it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 46.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 46.69it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.56it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.43it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.31it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.20it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.97it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.88it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.03it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 47.95it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.54it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.46it/s, v_num=ld_3, 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, 48.66it/s, v_num=ld_3, 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, 48.58it/s, v_num=ld_3, 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, 48.68it/s, v_num=ld_3, 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, 48.61it/s, v_num=ld_3, 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, 47.76it/s, v_num=ld_3, 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, 47.70it/s, v_num=ld_3, 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, 48.52it/s, v_num=ld_3, 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, 48.47it/s, v_num=ld_3, 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, 45.52it/s, v_num=ld_3, 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, 45.39it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 38.27it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 37.86it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 42.54it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 42.28it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 44.80it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 44.58it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 45.50it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 45.34it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.99it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.85it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.20it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.32it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.21it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.87it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 49.36it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 49.27it/s, v_num=ld_3, 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, 49.02it/s, v_num=ld_3, 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, 48.94it/s, v_num=ld_3, 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, 48.68it/s, v_num=ld_3, 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, 48.61it/s, v_num=ld_3, 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, 49.16it/s, v_num=ld_3, 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, 49.10it/s, v_num=ld_3, 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, 49.98it/s, v_num=ld_3, 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, 49.93it/s, v_num=ld_3, 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, 46.82it/s, v_num=ld_3, 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, 46.69it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 58.81it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 57.79it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 49.60it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 49.09it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 46.60it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 46.35it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 47.06it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 46.88it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.17it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 47.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.22it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 46.90it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 46.80it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 47.55it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 47.46it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 47.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 47.76it/s, v_num=ld_3, 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, 47.70it/s, v_num=ld_3, 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, 47.63it/s, v_num=ld_3, 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, 47.63it/s, v_num=ld_3, 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, 47.56it/s, v_num=ld_3, 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, 47.66it/s, v_num=ld_3, 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, 47.60it/s, v_num=ld_3, 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, 48.56it/s, v_num=ld_3, 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, 48.51it/s, v_num=ld_3, 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, 45.55it/s, v_num=ld_3, 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, 45.43it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 53.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 52.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 54.28it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.85it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 55.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.71it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.23it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 54.02it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 52.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 51.92it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.40it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 49.25it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.66it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 49.54it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.32it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.21it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.22it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.13it/s, v_num=ld_3, 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, 47.41it/s, v_num=ld_3, 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, 47.33it/s, v_num=ld_3, 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, 47.19it/s, v_num=ld_3, 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, 47.12it/s, v_num=ld_3, 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, 46.85it/s, v_num=ld_3, 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, 46.78it/s, v_num=ld_3, 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, 47.73it/s, v_num=ld_3, 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, 47.67it/s, v_num=ld_3, 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, 44.71it/s, v_num=ld_3, 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, 44.58it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 38.51it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 38.03it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 41.38it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 41.09it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 43.93it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 43.72it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 45.32it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 45.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.20it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 45.17it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 45.06it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 45.54it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 45.45it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 45.82it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 45.74it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 46.33it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 46.25it/s, v_num=ld_3, 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, 45.66it/s, v_num=ld_3, 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, 45.60it/s, v_num=ld_3, 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, 46.12it/s, v_num=ld_3, 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, 46.06it/s, v_num=ld_3, 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, 46.96it/s, v_num=ld_3, 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, 46.90it/s, v_num=ld_3, 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, 47.09it/s, v_num=ld_3, 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, 47.04it/s, v_num=ld_3, 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, 44.26it/s, v_num=ld_3, 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, 44.14it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 52.98it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 52.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 48.29it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.96it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.36it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 49.11it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 49.59it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 49.40it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.25it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.12it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.23it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.12it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.77it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.68it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 47.22it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 47.14it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 47.44it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 47.37it/s, v_num=ld_3, 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, 48.34it/s, v_num=ld_3, 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, 48.27it/s, v_num=ld_3, 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, 47.57it/s, v_num=ld_3, 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, 47.50it/s, v_num=ld_3, 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, 47.66it/s, v_num=ld_3, 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, 47.59it/s, v_num=ld_3, 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, 48.10it/s, v_num=ld_3, 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, 48.04it/s, v_num=ld_3, 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, 45.13it/s, v_num=ld_3, 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, 45.00it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 57.74it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 56.79it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.84it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.42it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.50it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 51.25it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 47.21it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 47.03it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.24it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 48.10it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.28it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 47.16it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.89it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 47.79it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.09it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 48.01it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.15it/s, v_num=ld_3, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 48.07it/s, v_num=ld_3, 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, 48.90it/s, v_num=ld_3, 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, 48.83it/s, v_num=ld_3, 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, 47.15it/s, v_num=ld_3, 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, 47.08it/s, v_num=ld_3, 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, 47.21it/s, v_num=ld_3, 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, 47.14it/s, v_num=ld_3, 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, 48.04it/s, v_num=ld_3, 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, 47.97it/s, v_num=ld_3, 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, 44.99it/s, v_num=ld_3, 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, 44.85it/s, v_num=ld_3, 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, 44.66it/s, v_num=ld_3, 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           0.8084848523139954
      Accuracy_val          0.44999998807907104
        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, 30.05it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 29.49it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 33.14it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 32.82it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.35it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 37.19it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.25it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 42.10it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.88it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 45.74it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.60it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 48.47it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.80it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 50.68it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.63it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 52.52it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.17it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 54.07it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.23it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 55.13it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.36it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 56.28it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.29it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 57.20it/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, 58.13it/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, 58.05it/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, 53.33it/s, v_num=ld_4, val_loss=0.692]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 53.14it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 66.61it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 65.29it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 68.40it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.72it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.92it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.45it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.69it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.34it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.10it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.81it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.85it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 70.58it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.14it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.93it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.44it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.25it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.70it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.54it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.95it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.80it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.10it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.97it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.25it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.13it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.25it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.12it/s, v_num=ld_4, val_loss=0.692, train_loss=0.663]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.82it/s, v_num=ld_4, val_loss=0.693, train_loss=0.663]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 72.06it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 70.58it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.66it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.91it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.41it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.19it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.82it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.44it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.14it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.86it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.41it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.20it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.63it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.43it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.73it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.76it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 72.61it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.57it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.43it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.74it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 71.62it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.89it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.78it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.59it/s, v_num=ld_4, val_loss=0.693, train_loss=0.692]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 65.33it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 73.26it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 71.78it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.70it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.94it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 73.62it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 73.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.59it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.21it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.87it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.57it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 73.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 73.09it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.85it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 73.05it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 73.02it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.84it/s, v_num=ld_4, 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, 72.95it/s, v_num=ld_4, 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, 72.79it/s, v_num=ld_4, 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, 72.46it/s, v_num=ld_4, 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, 72.31it/s, v_num=ld_4, 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, 72.41it/s, v_num=ld_4, 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, 72.28it/s, v_num=ld_4, 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, 72.68it/s, v_num=ld_4, 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, 72.56it/s, v_num=ld_4, 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, 66.16it/s, v_num=ld_4, 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, 65.88it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 70.71it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 69.30it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.35it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.61it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.90it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.38it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.07it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.69it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.23it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 68.94it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.57it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.33it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.99it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.79it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.27it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.10it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.39it/s, v_num=ld_4, 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, 70.30it/s, v_num=ld_4, 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, 70.15it/s, v_num=ld_4, 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, 70.51it/s, v_num=ld_4, 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, 70.37it/s, v_num=ld_4, 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, 70.63it/s, v_num=ld_4, 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, 70.51it/s, v_num=ld_4, 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, 70.98it/s, v_num=ld_4, 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, 70.86it/s, v_num=ld_4, 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, 64.76it/s, v_num=ld_4, 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, 64.48it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 71.53it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 70.04it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.19it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.50it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.40it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.94it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.10it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 68.74it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.45it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.16it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.59it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.89it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.69it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.16it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.96it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.62it/s, v_num=ld_4, 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, 70.17it/s, v_num=ld_4, 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, 70.02it/s, v_num=ld_4, 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, 70.45it/s, v_num=ld_4, 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, 70.32it/s, v_num=ld_4, 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, 70.66it/s, v_num=ld_4, 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, 70.54it/s, v_num=ld_4, 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, 71.04it/s, v_num=ld_4, 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, 70.93it/s, v_num=ld_4, 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, 64.85it/s, v_num=ld_4, 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, 64.59it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 69.26it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 67.80it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.75it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 70.00it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.70it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.22it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.17it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.79it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.07it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 71.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.27it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 72.02it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.45it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 72.23it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 72.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 72.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.94it/s, v_num=ld_4, 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, 72.07it/s, v_num=ld_4, 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, 71.92it/s, v_num=ld_4, 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, 71.86it/s, v_num=ld_4, 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, 71.72it/s, v_num=ld_4, 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, 71.75it/s, v_num=ld_4, 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, 71.62it/s, v_num=ld_4, 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, 71.96it/s, v_num=ld_4, 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, 71.83it/s, v_num=ld_4, 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, 65.50it/s, v_num=ld_4, 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, 65.23it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 65.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 64.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.93it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.27it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 69.45it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 68.96it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.88it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.50it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 70.22it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 69.92it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.92it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 69.66it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 70.31it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 69.99it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 70.15it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.99it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.35it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.19it/s, v_num=ld_4, 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, 70.24it/s, v_num=ld_4, 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, 70.10it/s, v_num=ld_4, 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, 70.31it/s, v_num=ld_4, 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, 70.17it/s, v_num=ld_4, 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, 70.24it/s, v_num=ld_4, 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, 70.12it/s, v_num=ld_4, 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, 70.20it/s, v_num=ld_4, 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, 70.08it/s, v_num=ld_4, 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, 64.09it/s, v_num=ld_4, 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, 63.82it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 72.29it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 70.86it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.75it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.32it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.83it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.42it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 72.05it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.45it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 72.15it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.71it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 71.46it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.76it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 71.54it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 71.58it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.86it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 71.69it/s, v_num=ld_4, 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, 71.85it/s, v_num=ld_4, 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, 71.70it/s, v_num=ld_4, 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, 71.93it/s, v_num=ld_4, 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, 71.79it/s, v_num=ld_4, 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, 71.56it/s, v_num=ld_4, 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, 71.44it/s, v_num=ld_4, 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, 71.84it/s, v_num=ld_4, 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, 71.72it/s, v_num=ld_4, 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, 65.40it/s, v_num=ld_4, 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, 65.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 67.89it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 66.39it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 67.52it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.69it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 67.37it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 66.83it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.81it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.40it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 66.17it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.86it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.51it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 66.24it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.64it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.41it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.65it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 66.45it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.77it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.59it/s, v_num=ld_4, 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, 66.84it/s, v_num=ld_4, 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, 66.66it/s, v_num=ld_4, 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, 66.53it/s, v_num=ld_4, 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, 66.38it/s, v_num=ld_4, 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, 66.57it/s, v_num=ld_4, 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, 66.43it/s, v_num=ld_4, 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, 66.84it/s, v_num=ld_4, 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, 66.72it/s, v_num=ld_4, 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, 61.03it/s, v_num=ld_4, 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, 60.75it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 66.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 65.06it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.83it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.04it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.56it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.98it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.51it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.24it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.53it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.25it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.58it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.35it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.72it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.52it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.85it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.67it/s, v_num=ld_4, 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, 65.45it/s, v_num=ld_4, 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, 65.24it/s, v_num=ld_4, 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, 65.48it/s, v_num=ld_4, 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, 65.32it/s, v_num=ld_4, 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, 65.36it/s, v_num=ld_4, 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, 65.23it/s, v_num=ld_4, 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, 65.65it/s, v_num=ld_4, 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, 65.52it/s, v_num=ld_4, 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, 59.59it/s, v_num=ld_4, 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, 59.32it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 66.76it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 65.25it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.05it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.71it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.15it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.05it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.67it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.38it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.07it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.65it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.38it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.62it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.38it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.60it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.39it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.94it/s, v_num=ld_4, 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, 65.33it/s, v_num=ld_4, 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, 65.17it/s, v_num=ld_4, 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, 65.40it/s, v_num=ld_4, 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, 65.26it/s, v_num=ld_4, 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, 65.43it/s, v_num=ld_4, 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, 65.30it/s, v_num=ld_4, 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, 65.72it/s, v_num=ld_4, 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, 65.59it/s, v_num=ld_4, 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, 60.01it/s, v_num=ld_4, 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, 59.76it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 62.25it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 60.80it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.20it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.43it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.09it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.59it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.36it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.98it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.70it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.37it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.23it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.95it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.83it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.55it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.33it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.14it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
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=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.53it/s, v_num=ld_4, 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, 64.91it/s, v_num=ld_4, 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, 64.75it/s, v_num=ld_4, 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, 65.01it/s, v_num=ld_4, 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, 64.87it/s, v_num=ld_4, 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, 65.19it/s, v_num=ld_4, 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, 65.06it/s, v_num=ld_4, 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, 65.54it/s, v_num=ld_4, 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, 65.41it/s, v_num=ld_4, 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, 59.90it/s, v_num=ld_4, 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, 59.65it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 62.72it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 61.21it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.89it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 63.15it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.82it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.26it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.01it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 64.63it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.86it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.54it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.32it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.60it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.37it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.64it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.97it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.78it/s, v_num=ld_4, 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, 65.04it/s, v_num=ld_4, 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, 64.88it/s, v_num=ld_4, 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, 64.94it/s, v_num=ld_4, 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, 64.81it/s, v_num=ld_4, 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, 64.68it/s, v_num=ld_4, 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, 64.53it/s, v_num=ld_4, 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, 64.47it/s, v_num=ld_4, 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, 64.35it/s, v_num=ld_4, 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, 58.99it/s, v_num=ld_4, 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, 58.74it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 64.64it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 63.11it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 65.47it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 64.68it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.73it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 65.17it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 65.42it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.74it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 65.41it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.33it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.07it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.33it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.10it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.14it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 64.94it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.93it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 64.76it/s, v_num=ld_4, 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, 65.07it/s, v_num=ld_4, 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, 64.90it/s, v_num=ld_4, 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, 65.19it/s, v_num=ld_4, 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, 65.04it/s, v_num=ld_4, 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, 64.93it/s, v_num=ld_4, 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, 64.79it/s, v_num=ld_4, 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, 65.06it/s, v_num=ld_4, 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, 64.93it/s, v_num=ld_4, 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, 59.26it/s, v_num=ld_4, 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, 58.98it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 66.62it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 65.13it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.84it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 66.03it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.82it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 64.30it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.90it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 63.49it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.41it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 64.10it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.70it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.44it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.99it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 64.76it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.25it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.06it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.36it/s, v_num=ld_4, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 65.19it/s, v_num=ld_4, 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, 65.50it/s, v_num=ld_4, 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, 65.34it/s, v_num=ld_4, 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, 65.20it/s, v_num=ld_4, 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, 65.06it/s, v_num=ld_4, 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, 65.34it/s, v_num=ld_4, 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, 65.20it/s, v_num=ld_4, 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, 65.68it/s, v_num=ld_4, 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, 65.56it/s, v_num=ld_4, 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, 59.95it/s, v_num=ld_4, 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, 59.70it/s, v_num=ld_4, 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, 59.36it/s, v_num=ld_4, 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           0.8471388816833496
      Accuracy_val          0.5099999904632568
        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”€

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=0.738, Fold 1: auroc=0.912, Fold 2: auroc=0.897, Fold 3: auroc=0.778, Fold 4: auroc=0.808, Fold 5: auroc=0.847

Total running time of the script: (0 minutes 30.030 seconds)

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