Note

Go to the end to download the full example code.

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

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

Data:

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

Key Features:

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

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

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

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

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

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

# sphinx_gallery_thumbnail_number = -1

1. Import the fusion model ๐Ÿ”๏ƒ

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

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

2. Set the training parameters ๐ŸŽฏ๏ƒ

Now weโ€™re configuring our training parameters.

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

Some optional parameters are:

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

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

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

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

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

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

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

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

# Set the batch size
batch_size = 32

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

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

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

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

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

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

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

4. Training the fusion model ๐Ÿ๏ƒ

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

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

  • prediction_task: the type of prediction to be performed.

  • fusion_model: the fusion model to be trained.

  • data_paths: the paths to the input data files.

  • output_paths: the paths to the output directories.

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

fusion_model = TabularCrossmodalMultiheadAttention

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

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

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

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 64.81it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 63.90it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.08it/s, v_num=ld_0]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.54it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 76.99it/s, v_num=ld_0]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 76.56it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.96it/s, v_num=ld_0]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.66it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.31it/s, v_num=ld_0]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.06it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.22it/s, v_num=ld_0]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.00it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.94it/s, v_num=ld_0]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.77it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.74it/s, v_num=ld_0]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.58it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.31it/s, v_num=ld_0]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.17it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.70it/s, v_num=ld_0]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.57it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.81it/s, v_num=ld_0]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.68it/s, v_num=ld_0]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.14it/s, v_num=ld_0]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.03it/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, 83.70it/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, 83.60it/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, 75.87it/s, v_num=ld_0, val_loss=0.622]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.61it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 83.79it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 82.23it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.53it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.78it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.22it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.71it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.54it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.12it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.52it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.21it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.19it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.92it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.41it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.18it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.54it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.35it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.45it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.28it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.50it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.35it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.20it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.04it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.18it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.04it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.48it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.35it/s, v_num=ld_0, val_loss=0.622, train_loss=0.660]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.48it/s, v_num=ld_0, val_loss=0.585, train_loss=0.660]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.21it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 87.27it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 85.60it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.76it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.85it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.99it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.49it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.49it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.12it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.54it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.21it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.56it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.29it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.97it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.73it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.84it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.61it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.89it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.72it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.06it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.92it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.12it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.99it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.73it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.60it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.06it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.95it/s, v_num=ld_0, val_loss=0.585, train_loss=0.612]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.21it/s, v_num=ld_0, val_loss=0.553, train_loss=0.612]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.93it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 85.44it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 83.83it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.21it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.47it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.54it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.00it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.19it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.82it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.66it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.34it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.75it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.49it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.04it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.83it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.11it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.91it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.11it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.95it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.21it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.07it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.40it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.27it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.36it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.25it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.61it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.49it/s, v_num=ld_0, val_loss=0.553, train_loss=0.565]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.03it/s, v_num=ld_0, val_loss=0.549, train_loss=0.565]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.77it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 82.57it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 81.19it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.77it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.02it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.00it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.51it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.15it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.72it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.41it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.00it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.44it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.21it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.51it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.31it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.45it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.28it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.24it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.05it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.18it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.04it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.08it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.96it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.92it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.79it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.39it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.28it/s, v_num=ld_0, val_loss=0.549, train_loss=0.549]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.70it/s, v_num=ld_0, val_loss=0.536, train_loss=0.549]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.45it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 80.78it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 79.46it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.00it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.29it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.65it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.18it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.10it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.71it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.55it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.27it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.61it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.38it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.94it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.74it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.23it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.04it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.36it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.19it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.11it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.97it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.84it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.71it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.09it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.96it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.43it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.32it/s, v_num=ld_0, val_loss=0.536, train_loss=0.538]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.98it/s, v_num=ld_0, val_loss=0.535, train_loss=0.538]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.71it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 80.45it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 79.14it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.37it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 78.67it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.16it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 79.72it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.88it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.51it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.08it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.81it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.54it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.29it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.49it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.28it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.78it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.61it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.15it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.98it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.41it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.27it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.61it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.48it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.32it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.19it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.80it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.69it/s, v_num=ld_0, val_loss=0.535, train_loss=0.550]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.34it/s, v_num=ld_0, val_loss=0.547, train_loss=0.550]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.08it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 85.10it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 83.50it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.95it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.25it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.80it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.23it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.62it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.28it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.29it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.96it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.54it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.28it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.40it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.17it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.62it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.42it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.71it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.55it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.79it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.65it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.92it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.79it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.84it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.72it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.12it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.01it/s, v_num=ld_0, val_loss=0.547, train_loss=0.527]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.57it/s, v_num=ld_0, val_loss=0.529, train_loss=0.527]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.31it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 81.83it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 80.34it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.71it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.02it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.09it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.64it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.44it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.02it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.53it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.25it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.50it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.27it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.47it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.27it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.62it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.45it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.46it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.29it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.72it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.58it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.01it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.87it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.18it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.07it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.69it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.57it/s, v_num=ld_0, val_loss=0.529, train_loss=0.551]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.24it/s, v_num=ld_0, val_loss=0.545, train_loss=0.551]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.97it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 80.33it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 79.02it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.83it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.12it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.47it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.02it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.37it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.03it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.84it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.56it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.75it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.49it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.24it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.02it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.12it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.94it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.22it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.04it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.45it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.31it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.90it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.76it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.89it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.77it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.40it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.29it/s, v_num=ld_0, val_loss=0.545, train_loss=0.523]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.86it/s, v_num=ld_0, val_loss=0.532, train_loss=0.523]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.60it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 83.35it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 81.96it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.53it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.80it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.13it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.66it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.51it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.15it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.62it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.34it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.95it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.69it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.64it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.43it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.91it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.73it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.92it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.75it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.00it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.85it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.09it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.95it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.95it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.82it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.33it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.22it/s, v_num=ld_0, val_loss=0.532, train_loss=0.517]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.58it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.31it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 77.44it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 76.20it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.27it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.61it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.39it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 79.92it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.51it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.17it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.07it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.79it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.99it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.76it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.84it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.61it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.23it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.02it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.48it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.31it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.68it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.51it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.97it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.85it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.20it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.08it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.49it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.36it/s, v_num=ld_0, val_loss=0.531, train_loss=0.517]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.80it/s, v_num=ld_0, val_loss=0.537, train_loss=0.517]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.55it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 84.06it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 82.64it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.86it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.14it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.49it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.95it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.59it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.18it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.46it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.17it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.64it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.40it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.00it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.79it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.03it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.85it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.85it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.67it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.97it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.82it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.06it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.93it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.18it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.04it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.60it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.49it/s, v_num=ld_0, val_loss=0.537, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.84it/s, v_num=ld_0, val_loss=0.536, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.56it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 81.07it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 79.75it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.87it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.09it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.49it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.02it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.36it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.99it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.51it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.22it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.90it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.64it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.12it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.89it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.41it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.23it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.58it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.42it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.69it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.54it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.55it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.40it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.38it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.26it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.80it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.68it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.13it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.85it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 81.54it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 80.20it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.33it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.60it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.34it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.89it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.07it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.72it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.20it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.92it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.55it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.31it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.32it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.09it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.49it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.29it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.63it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.47it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.86it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.72it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.55it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.41it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.51it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.38it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.98it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.87it/s, v_num=ld_0, val_loss=0.536, train_loss=0.515]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.54it/s, v_num=ld_0, val_loss=0.543, train_loss=0.515]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.28it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 85.07it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 83.47it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.14it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.35it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.00it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.48it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.51it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.08it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.72it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.41it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.88it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.64it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.97it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.77it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.05it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.87it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.60it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.43it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.70it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.56it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.82it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.68it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.96it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.84it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.39it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.28it/s, v_num=ld_0, val_loss=0.543, train_loss=0.509]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.49it/s, v_num=ld_0, val_loss=0.537, train_loss=0.509]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.23it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 80.51it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 79.16it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.14it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.46it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.03it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.53it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.11it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.76it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.65it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.33it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.66it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.40it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.37it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.08it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.49it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.32it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.74it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.59it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.13it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.99it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.89it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.75it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.91it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.80it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.97it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.86it/s, v_num=ld_0, val_loss=0.537, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.96it/s, v_num=ld_0, val_loss=0.530, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.71it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 80.42it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 79.08it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.06it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.32it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 78.39it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.86it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.24it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 77.85it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.73it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.44it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 78.86it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 78.61it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.26it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.07it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 78.17it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 77.99it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 78.02it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 77.88it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 78.30it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 78.17it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 78.74it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 78.62it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.07it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 78.96it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.43it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.32it/s, v_num=ld_0, val_loss=0.530, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.43it/s, v_num=ld_0, val_loss=0.525, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.18it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 80.40it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 79.07it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.80it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.13it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.94it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.48it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.45it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.10it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.25it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.97it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.26it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.02it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.59it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.39it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.79it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.61it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.85it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.69it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.97it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.76it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.85it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.73it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.85it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.74it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.97it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.87it/s, v_num=ld_0, val_loss=0.525, train_loss=0.507]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.43it/s, v_num=ld_0, val_loss=0.568, train_loss=0.507]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.18it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 78.90it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 77.50it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 76.26it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 75.49it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.97it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.51it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.76it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.43it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 79.45it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 79.18it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.94it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.72it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.69it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.48it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.45it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.29it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 79.62it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 79.47it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.85it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.70it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.14it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.00it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.07it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.94it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.56it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.44it/s, v_num=ld_0, val_loss=0.568, train_loss=0.514]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.38it/s, v_num=ld_0, val_loss=0.536, train_loss=0.514]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.10it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 82.16it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 80.81it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.39it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.61it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.61it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.08it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.40it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.03it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.56it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.29it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.68it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.46it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.26it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.07it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.28it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.11it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.29it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.11it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.79it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.66it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.34it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.20it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.52it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.41it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.08it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.98it/s, v_num=ld_0, val_loss=0.536, train_loss=0.541]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.92it/s, v_num=ld_0, val_loss=0.558, train_loss=0.541]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.67it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 72.11it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 70.87it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 76.74it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 76.14it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.88it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.46it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.70it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.34it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.00it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 77.73it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 77.83it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 77.59it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 78.47it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 78.29it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 78.36it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 78.20it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 78.93it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 78.79it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.24it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.11it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 79.13it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 79.00it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.15it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.04it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.57it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.47it/s, v_num=ld_0, val_loss=0.558, train_loss=0.528]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.66it/s, v_num=ld_0, val_loss=0.543, train_loss=0.528]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.41it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 85.23it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 83.63it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.63it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.84it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 79.03it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 78.55it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.03it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 79.69it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.13it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 79.86it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.64it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.42it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.17it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.98it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.49it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.29it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 79.33it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 79.18it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.84it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.71it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.14it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.01it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.58it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 79.45it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.30it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.17it/s, v_num=ld_0, val_loss=0.543, train_loss=0.524]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.29it/s, v_num=ld_0, val_loss=0.533, train_loss=0.524]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.04it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 71.09it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 70.06it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 76.16it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 75.56it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.80it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.34it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.90it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 78.58it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 77.98it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 77.73it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.01it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 78.80it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.18it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.01it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.21it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.06it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.66it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.53it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 76.83it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 76.70it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 76.94it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 76.83it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 76.95it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 76.85it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.73it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.64it/s, v_num=ld_0, val_loss=0.533, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.10it/s, v_num=ld_0, val_loss=0.532, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 70.87it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 82.00it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 80.65it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.70it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.90it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.47it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.02it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.12it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.78it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.77it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.44it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.36it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.13it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.13it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.92it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.42it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.24it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.63it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.47it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.53it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.39it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.57it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.44it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.35it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.23it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.74it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.63it/s, v_num=ld_0, val_loss=0.532, train_loss=0.518]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.22it/s, v_num=ld_0, val_loss=0.576, train_loss=0.518]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.92it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 79.41it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 78.14it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.29it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.63it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.74it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.29it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.27it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.92it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.03it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.75it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.65it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.41it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.15it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.92it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.01it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.84it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.61it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.45it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.24it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.11it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.44it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.32it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.86it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.72it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.34it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.23it/s, v_num=ld_0, val_loss=0.576, train_loss=0.575]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.19it/s, v_num=ld_0, val_loss=0.556, train_loss=0.575]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.93it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 76.94it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 75.62it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 77.46it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 76.76it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 78.08it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 77.67it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 77.13it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 76.79it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.64it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.39it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 74.97it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 74.75it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 74.92it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 74.76it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.08it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 75.93it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.57it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.44it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 77.08it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 76.95it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 75.32it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 75.21it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 75.84it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 75.74it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.27it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.18it/s, v_num=ld_0, val_loss=0.556, train_loss=0.545]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.87it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 69.65it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 73.39it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 72.21it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.96it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.42it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 73.55it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 73.16it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 75.93it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 75.61it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 74.72it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 74.49it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 76.14it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 75.94it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.57it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.39it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.64it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.46it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.81it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 76.65it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 76.77it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 76.64it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 76.84it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 76.72it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 77.02it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 76.92it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.63it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.53it/s, v_num=ld_0, val_loss=0.562, train_loss=0.545]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.95it/s, v_num=ld_0, val_loss=0.622, train_loss=0.545]
Epoch 27: 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=0.622, train_loss=0.559]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 67.08it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 66.06it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.37it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.82it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.41it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.05it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 75.60it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 75.31it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 76.37it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 76.12it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 77.96it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 77.75it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 78.90it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 78.69it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.79it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.62it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.35it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.19it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.49it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.33it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.61it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.48it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.91it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.79it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.48it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.37it/s, v_num=ld_0, val_loss=0.622, train_loss=0.559]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.11it/s, v_num=ld_0, val_loss=0.693, train_loss=0.559]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 83.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 81.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.41it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.40it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.89it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.06it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.70it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.52it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.57it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.39it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.43it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.98it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.76it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.22it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.73it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.58it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.60it/s, v_num=ld_0, val_loss=0.693, train_loss=0.689]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.26it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 84.70it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 83.27it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.79it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.93it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.34it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.46it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.38it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.09it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.82it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.14it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.67it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.97it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.83it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.90it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.70it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.87it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.75it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.02it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.73it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 30:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:   8%|โ–Š         | 1/13 [00:00<00:00, 75.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:   8%|โ–Š         | 1/13 [00:00<00:00, 73.72it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 78.51it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.65it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.46it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.11it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.21it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.91it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.95it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.37it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.16it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.80it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.62it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.10it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.28it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.12it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.92it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.17it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.03it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.63it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.50it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.55it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 31:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:   8%|โ–Š         | 1/13 [00:00<00:00, 85.00it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:   8%|โ–Š         | 1/13 [00:00<00:00, 83.53it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.36it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.62it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.33it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.81it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.01it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.71it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.61it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.02it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.80it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.56it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.35it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.68it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.49it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.84it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.69it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.99it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.85it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.15it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.02it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.20it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.07it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.25it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.96it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
Epoch 32: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.65it/s, v_num=ld_0, val_loss=0.693, train_loss=0.693]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val                   0.5
      Accuracy_val          0.47999998927116394
        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, 50.18it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 49.37it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.11it/s, v_num=ld_1]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 52.65it/s, v_num=ld_1]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.50it/s, v_num=ld_1]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.18it/s, v_num=ld_1]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 55.79it/s, v_num=ld_1]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 55.61it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 59.48it/s, v_num=ld_1]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 59.31it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.18it/s, v_num=ld_1]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 61.02it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.57it/s, v_num=ld_1]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 63.44it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.41it/s, v_num=ld_1]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 65.29it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.90it/s, v_num=ld_1]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 66.78it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.15it/s, v_num=ld_1]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 68.05it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.87it/s, v_num=ld_1]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 68.78it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.77it/s, v_num=ld_1]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 69.69it/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, 70.76it/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, 70.67it/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, 64.85it/s, v_num=ld_1, val_loss=0.693]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 64.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 80.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 79.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 78.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 77.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 76.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 76.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 70.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 69.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.85it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 51.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 51.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 44.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 44.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 39.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 39.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 37.52it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 37.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 36.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 36.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 36.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 35.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 35.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 35.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 37.13it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 37.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 35.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.700]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 35.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 83.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 81.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.13it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 85.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.11it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.72it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.85it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 87.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 85.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.32it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.19it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.80it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 84.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 83.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.13it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.75it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 81.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 79.89it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.88it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.15it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.48it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.27it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.19it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.04it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.63it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.19it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 81.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 80.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.41it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.32it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.50it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.20it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.94it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 82.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 80.80it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.45it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.62it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.21it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 85.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 83.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.89it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.32it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.55it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.86it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.56it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 84.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 83.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.17it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.89it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.81it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.83it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.65it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 79.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 77.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.91it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.39it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.68it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.37it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.52it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.47it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.32it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.57it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.62it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.49it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 82.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 81.24it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.92it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.18it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.28it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.77it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.69it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.54it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.78it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.57it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.85it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.13it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.11it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.98it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.42it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.51it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 84.52it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 83.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.67it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.26it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.76it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.07it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.32it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.09it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.33it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.14it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.99it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.79it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.05it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.90it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.25it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.34it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.70it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 82.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 80.95it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.96it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.23it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.30it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.28it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.01it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.40it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.16it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.60it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.35it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.84it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.06it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.53it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.87it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.97it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.22it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.10it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 85.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 83.43it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.02it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.29it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.34it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.85it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.74it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.36it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.64it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.73it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.46it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.61it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.03it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.82it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.12it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.93it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.15it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.00it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.58it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.41it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.44it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.31it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.71it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.59it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.66it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.38it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.08it/s, v_num=ld_1, val_loss=0.693, train_loss=0.693]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
     Validate metric           DataLoader 0
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
        AUROC_val                   0.5
      Accuracy_val          0.4300000071525574
        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, 48.44it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 47.65it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 52.74it/s, v_num=ld_2]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 52.33it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.16it/s, v_num=ld_2]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 53.87it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 55.89it/s, v_num=ld_2]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 55.74it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.01it/s, v_num=ld_2]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 59.87it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.64it/s, v_num=ld_2]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 62.49it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.14it/s, v_num=ld_2]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 65.01it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.16it/s, v_num=ld_2]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 67.06it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.91it/s, v_num=ld_2]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 68.80it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.35it/s, v_num=ld_2]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 70.25it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.61it/s, v_num=ld_2]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 71.52it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.43it/s, v_num=ld_2]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 72.33it/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, 73.53it/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, 73.44it/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, 67.47it/s, v_num=ld_2, val_loss=0.588]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.26it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 85.90it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 84.29it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.44it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.69it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.86it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.35it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.11it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.69it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.20it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.89it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.27it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.99it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.97it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.75it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.67it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.49it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.14it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.87it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.93it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.78it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.85it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.70it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.83it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.69it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.11it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.00it/s, v_num=ld_2, val_loss=0.588, train_loss=0.666]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.16it/s, v_num=ld_2, val_loss=0.559, train_loss=0.666]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.88it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 80.42it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 79.09it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.35it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.67it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.45it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.97it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.81it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.41it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.10it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.81it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.45it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.21it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.02it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.79it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.86it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.68it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.03it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.87it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.10it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.94it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.05it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.91it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.29it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.17it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.17it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.05it/s, v_num=ld_2, val_loss=0.559, train_loss=0.583]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.56it/s, v_num=ld_2, val_loss=0.610, train_loss=0.583]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.27it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 85.73it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 84.14it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.20it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.46it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.49it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.91it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.38it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.00it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.46it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.12it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.57it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.32it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.75it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.53it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.87it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.68it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.06it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.89it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.07it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.91it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.67it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.52it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.68it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.56it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.96it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.85it/s, v_num=ld_2, val_loss=0.610, train_loss=0.570]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.04it/s, v_num=ld_2, val_loss=0.572, train_loss=0.570]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.75it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 86.84it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 85.34it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.70it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.95it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.61it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.09it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.10it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.69it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.37it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.07it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.79it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.52it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.01it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.80it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.20it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.01it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.77it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.57it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.77it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.62it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.83it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.69it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.82it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.68it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.14it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.00it/s, v_num=ld_2, val_loss=0.572, train_loss=0.560]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.17it/s, v_num=ld_2, val_loss=0.606, train_loss=0.560]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.90it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 83.16it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 81.65it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.54it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.74it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.51it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.01it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.74it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.37it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.15it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.85it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.28it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.02it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.74it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.51it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.75it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.56it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.69it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.52it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.77it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.63it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.81it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.68it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.66it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.53it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.21it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.09it/s, v_num=ld_2, val_loss=0.606, train_loss=0.550]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.24it/s, v_num=ld_2, val_loss=0.589, train_loss=0.550]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.94it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 81.66it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 80.29it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.93it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.15it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.69it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.16it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.03it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.67it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.67it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.34it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.41it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.17it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.82it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.49it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.89it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.70it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.03it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.86it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.01it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.87it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.87it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.73it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.08it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.95it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.62it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.50it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.91it/s, v_num=ld_2, val_loss=0.589, train_loss=0.576]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.65it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 86.71it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 85.06it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.03it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.27it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.48it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.94it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.88it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.48it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.11it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.81it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.33it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.04it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.53it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.31it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.53it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.32it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.12it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.92it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.10it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.95it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.19it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.03it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.17it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.05it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.53it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.41it/s, v_num=ld_2, val_loss=0.589, train_loss=0.565]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.49it/s, v_num=ld_2, val_loss=0.559, train_loss=0.565]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.20it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 81.64it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 80.18it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.76it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.05it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.58it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.10it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.60it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.23it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.96it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.66it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.10it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.85it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.54it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.31it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.60it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.40it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.72it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.55it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.85it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.70it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.93it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.80it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.17it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.05it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.34it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.22it/s, v_num=ld_2, val_loss=0.559, train_loss=0.547]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.54it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.27it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 85.92it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 84.23it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.91it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.16it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.32it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.77it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.63it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.25it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.93it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.62it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.98it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.71it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.01it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.80it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.94it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.75it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.00it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.81it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.00it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.85it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.65it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.50it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.64it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.51it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.07it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.95it/s, v_num=ld_2, val_loss=0.549, train_loss=0.547]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.17it/s, v_num=ld_2, val_loss=0.545, train_loss=0.547]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.89it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 85.73it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 84.25it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.02it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.20it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.93it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.39it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.29it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.92it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.52it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.23it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.25it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.97it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.35it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.14it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.52it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.33it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.22it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.03it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.36it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.20it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.41it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.28it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.51it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.39it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.86it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.75it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.57it/s, v_num=ld_2, val_loss=0.545, train_loss=0.535]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.05it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 43.94it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 42.90it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.84it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 47.53it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.92it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 54.68it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 59.07it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.86it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.88it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 62.72it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.63it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.48it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.24it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 67.10it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 69.10it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.97it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.59it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.48it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.80it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.69it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.88it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.78it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 73.49it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 73.40it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.22it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.13it/s, v_num=ld_2, val_loss=0.545, train_loss=0.528]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.04it/s, v_num=ld_2, val_loss=0.566, train_loss=0.528]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 67.83it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 80.92it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 79.60it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.90it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.21it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.94it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.47it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.79it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.42it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.57it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.25it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.96it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.70it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.27it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.06it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.67it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.47it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.85it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.69it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.19it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.05it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.14it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.99it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.33it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.21it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.52it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.40it/s, v_num=ld_2, val_loss=0.566, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.87it/s, v_num=ld_2, val_loss=0.571, train_loss=0.527]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.59it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 85.62it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 84.17it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.64it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.91it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.89it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.33it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.14it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.80it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.25it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.98it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.71it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.45it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.82it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.62it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.90it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.73it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.72it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.53it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.97it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.83it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.05it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.90it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.49it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.37it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.97it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.86it/s, v_num=ld_2, val_loss=0.571, train_loss=0.524]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.50it/s, v_num=ld_2, val_loss=0.599, train_loss=0.524]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.24it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 81.76it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 80.35it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.98it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.28it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.22it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.75it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.13it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.77it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.08it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.79it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.96it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.72it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.51it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.27it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.77it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.59it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.76it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.60it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.86it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.72it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.21it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.08it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.99it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.88it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.04it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.93it/s, v_num=ld_2, val_loss=0.599, train_loss=0.525]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.69it/s, v_num=ld_2, val_loss=0.555, train_loss=0.525]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.43it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 82.13it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 80.79it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.08it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.39it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.10it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.58it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.49it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.12it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.40it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.06it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.67it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.43it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.74it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.52it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.66it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.49it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.07it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.92it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.33it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.20it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.73it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.59it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.14it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.02it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.75it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.65it/s, v_num=ld_2, val_loss=0.555, train_loss=0.522]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.65it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.39it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 85.76it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 84.30it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.92it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.18it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.86it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.36it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.42it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.09it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.88it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.61it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.11it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.87it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.44it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.21it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.61it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.42it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.31it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.15it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.56it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.43it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.78it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.66it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.86it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.74it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.48it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.37it/s, v_num=ld_2, val_loss=0.550, train_loss=0.522]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.08it/s, v_num=ld_2, val_loss=0.556, train_loss=0.522]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.83it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 79.47it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 77.92it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 78.35it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 77.74it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.82it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.38it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.20it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.82it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.13it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.86it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.23it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.00it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.80it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.47it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.95it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.76it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.37it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.22it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.63it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.47it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.78it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.65it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.87it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.75it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.97it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.85it/s, v_num=ld_2, val_loss=0.556, train_loss=0.523]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.06it/s, v_num=ld_2, val_loss=0.559, train_loss=0.523]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.80it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 83.99it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 82.56it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.63it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.93it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.98it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.51it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.47it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.11it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.82it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.53it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.13it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.90it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.84it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.62it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.18it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.01it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.62it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.46it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.88it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.74it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.74it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.60it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.93it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.81it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.50it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.39it/s, v_num=ld_2, val_loss=0.559, train_loss=0.536]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.95it/s, v_num=ld_2, val_loss=0.565, train_loss=0.536]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.68it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 84.63it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 83.20it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.53it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.80it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.79it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.29it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.57it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.22it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.32it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.04it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.42it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.19it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.11it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.89it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.52it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.34it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.45it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.27it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.49it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.35it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.43it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.30it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.51it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.39it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.03it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.92it/s, v_num=ld_2, val_loss=0.565, train_loss=0.546]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.46it/s, v_num=ld_2, val_loss=0.567, train_loss=0.546]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.18it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 81.73it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 80.28it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.55it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.86it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.17it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.70it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.70it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.34it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.16it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.84it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.09it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.85it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.56it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.34it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.78it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.60it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.82it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.66it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.51it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.36it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.83it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.70it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.60it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.48it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.84it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.72it/s, v_num=ld_2, val_loss=0.567, train_loss=0.525]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.28it/s, v_num=ld_2, val_loss=0.612, train_loss=0.525]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.02it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 84.40it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 82.98it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.38it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.63it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.92it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.44it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.21it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.86it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.98it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.70it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.52it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.29it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.55it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.35it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.51it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.34it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.64it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.48it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.95it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.81it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.84it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.70it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.95it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.82it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.37it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.26it/s, v_num=ld_2, val_loss=0.612, train_loss=0.533]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.93it/s, v_num=ld_2, val_loss=0.606, train_loss=0.533]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.66it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 85.27it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 83.81it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.01it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.22it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.46it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.96it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.09it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.73it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.35it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.06it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.62it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.39it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.00it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.80it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.50it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.33it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.59it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.42it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.04it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.89it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.49it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.36it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.18it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.06it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.45it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.35it/s, v_num=ld_2, val_loss=0.606, train_loss=0.549]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.15it/s, v_num=ld_2, val_loss=0.581, train_loss=0.549]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.80it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 79.40it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 78.01it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 78.41it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 77.77it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.69it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.21it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.37it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.04it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.98it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 78.72it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.68it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 79.46it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.86it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.66it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.52it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.36it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.50it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.35it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.92it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.78it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.89it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.75it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.49it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.37it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.91it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 80.79it/s, v_num=ld_2, val_loss=0.581, train_loss=0.561]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.81it/s, v_num=ld_2, val_loss=0.593, train_loss=0.561]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.55it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 83.92it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 82.51it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.19it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.44it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.50it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.00it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.91it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.55it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.21it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.91it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.50it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.26it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.70it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.48it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.72it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.55it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.10it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.94it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.01it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.87it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.61it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.45it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.65it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.53it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.96it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.84it/s, v_num=ld_2, val_loss=0.593, train_loss=0.544]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.25it/s, v_num=ld_2, val_loss=0.574, train_loss=0.544]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.97it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 71.81it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 70.77it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 73.34it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 72.79it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 74.06it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 73.62it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 74.97it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 74.68it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 76.74it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 76.50it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 76.76it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 76.56it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.85it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 77.67it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 78.83it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 78.68it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 78.07it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 77.92it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 77.64it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 77.49it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 77.96it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 77.85it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 78.16it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 78.05it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.89it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.79it/s, v_num=ld_2, val_loss=0.574, train_loss=0.534]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.14it/s, v_num=ld_2, val_loss=0.586, train_loss=0.534]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.89it/s, v_num=ld_2, val_loss=0.586, train_loss=0.544]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 71.63it/s, v_num=ld_2, val_loss=0.586, train_loss=0.544]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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           0.8121175169944763
      Accuracy_val          0.7699999809265137
        val_loss            0.5859994292259216
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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, 53.30it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 52.45it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 56.27it/s, v_num=ld_3]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 55.78it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.56it/s, v_num=ld_3]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 57.26it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 58.20it/s, v_num=ld_3]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 57.97it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.92it/s, v_num=ld_3]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 61.78it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.15it/s, v_num=ld_3]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 65.02it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.95it/s, v_num=ld_3]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.82it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.85it/s, v_num=ld_3]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.73it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.56it/s, v_num=ld_3]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.43it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.97it/s, v_num=ld_3]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.88it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 73.16it/s, v_num=ld_3]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 73.06it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 74.15it/s, v_num=ld_3]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 74.07it/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, 75.02it/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, 74.94it/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, 68.74it/s, v_num=ld_3, val_loss=0.660]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.53it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 87.67it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 86.14it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.48it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.71it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.77it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.22it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.87it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.45it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 87.09it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.79it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 87.24it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.98it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 87.30it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 87.08it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 87.33it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 87.14it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 87.02it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.85it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 87.10it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.95it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 87.20it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 87.06it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 87.25it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 87.12it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 87.55it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 87.43it/s, v_num=ld_3, val_loss=0.660, train_loss=0.688]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.42it/s, v_num=ld_3, val_loss=0.602, train_loss=0.688]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.13it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 83.33it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 81.55it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.26it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.53it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.40it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.90it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.18it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.81it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.53it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.23it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.00it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.75it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.65it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.42it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.84it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.63it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.89it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.72it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.96it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.81it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.12it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.99it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.23it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.09it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.02it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.88it/s, v_num=ld_3, val_loss=0.602, train_loss=0.595]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.87it/s, v_num=ld_3, val_loss=0.593, train_loss=0.595]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.58it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 84.96it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 83.22it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.98it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.23it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.46it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.95it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.58it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.20it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.04it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.71it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.20it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.95it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.34it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.12it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.35it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.16it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.40it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.23it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.54it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.38it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.29it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.15it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.37it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.23it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.66it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.54it/s, v_num=ld_3, val_loss=0.593, train_loss=0.566]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.66it/s, v_num=ld_3, val_loss=0.682, train_loss=0.566]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.39it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 85.52it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 84.07it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.07it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.32it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.74it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.15it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.14it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.78it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.21it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.92it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.27it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.00it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.41it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.20it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.77it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.57it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.46it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.25it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.33it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.17it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.47it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.34it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.63it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.50it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.99it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.88it/s, v_num=ld_3, val_loss=0.682, train_loss=0.548]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.13it/s, v_num=ld_3, val_loss=0.609, train_loss=0.548]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.85it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 84.37it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 82.66it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.54it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.80it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.24it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.69it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.33it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.95it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.46it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.12it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.79it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.53it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.29it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.07it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.22it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.02it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.40it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.23it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.56it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.41it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.53it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.39it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.61it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.49it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.75it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.62it/s, v_num=ld_3, val_loss=0.609, train_loss=0.572]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.60it/s, v_num=ld_3, val_loss=0.581, train_loss=0.572]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.31it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 86.91it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 85.32it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.25it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.49it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 87.00it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.49it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 87.18it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.80it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.49it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.17it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.80it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.51it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.71it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.49it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.65it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.45it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.69it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.52it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.74it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.57it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.43it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.26it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.40it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.28it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.51it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.38it/s, v_num=ld_3, val_loss=0.581, train_loss=0.533]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.41it/s, v_num=ld_3, val_loss=0.595, train_loss=0.533]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.13it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 85.77it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 84.29it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.42it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.60it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.28it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.70it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.64it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.26it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.85it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.50it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.10it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.85it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.91it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.69it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.76it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.56it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.38it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.21it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.40it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.24it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.32it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.19it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.12it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.00it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.29it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.18it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.37it/s, v_num=ld_3, val_loss=0.595, train_loss=0.522]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.08it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 80.77it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 79.30it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.95it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.24it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.47it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.94it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.60it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.19it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.98it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.69it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.32it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.97it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.68it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.45it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.69it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.51it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.80it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.64it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.49it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.34it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.47it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.33it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.18it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.05it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.12it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.99it/s, v_num=ld_3, val_loss=0.595, train_loss=0.514]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.57it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.30it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 84.02it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 82.60it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.09it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.36it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.07it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.58it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.30it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.93it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.84it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.52it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.90it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.62it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.90it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.69it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.97it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.79it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.97it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.81it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.19it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.04it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.70it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.55it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.62it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.50it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.90it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.79it/s, v_num=ld_3, val_loss=0.567, train_loss=0.514]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.02it/s, v_num=ld_3, val_loss=0.576, train_loss=0.514]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.75it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 83.26it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 81.79it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.75it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.06it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.72it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.17it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.19it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.70it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.47it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.15it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.52it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.26it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.75it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.52it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.76it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.57it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.41it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.23it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.58it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.44it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.38it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.23it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.42it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.29it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.95it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.83it/s, v_num=ld_3, val_loss=0.576, train_loss=0.513]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.19it/s, v_num=ld_3, val_loss=0.623, train_loss=0.513]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.93it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 81.38it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 79.91it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.02it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.32it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.03it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.55it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.23it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.83it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.38it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.09it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.66it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.42it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.45it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.24it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.70it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.50it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.78it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.62it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.92it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.77it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.96it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.80it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.00it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.88it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.11it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.99it/s, v_num=ld_3, val_loss=0.623, train_loss=0.525]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.30it/s, v_num=ld_3, val_loss=0.615, train_loss=0.525]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.02it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 85.45it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 83.99it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.10it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.28it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.46it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.95it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.37it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.99it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.56it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.21it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.13it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.89it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.33it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.12it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.38it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.19it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.57it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.39it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.71it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.56it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.41it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.27it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.37it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.25it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.67it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.55it/s, v_num=ld_3, val_loss=0.615, train_loss=0.529]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.80it/s, v_num=ld_3, val_loss=0.585, train_loss=0.529]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.52it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 85.80it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 84.22it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.69it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.96it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.82it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.30it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.18it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.81it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.39it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.10it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.73it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.48it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.88it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.66it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.85it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.66it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.52it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.34it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.64it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.47it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.84it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.71it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.91it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.78it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.30it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.18it/s, v_num=ld_3, val_loss=0.585, train_loss=0.525]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.11it/s, v_num=ld_3, val_loss=0.576, train_loss=0.525]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.82it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 79.93it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 78.52it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.98it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.32it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.39it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.93it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.39it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.04it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.97it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.66it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.48it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.25it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.35it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.13it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.60it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.42it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.89it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.73it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.78it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.64it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.93it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.78it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.11it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.99it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.19it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.07it/s, v_num=ld_3, val_loss=0.576, train_loss=0.510]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.55it/s, v_num=ld_3, val_loss=0.589, train_loss=0.510]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.29it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 84.65it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 83.22it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.57it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.85it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.84it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.35it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.95it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.55it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.20it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.88it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.54it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.29it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.84it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.63it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.74it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.56it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.80it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.62it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.79it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.64it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.37it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.22it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.51it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.39it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.93it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.80it/s, v_num=ld_3, val_loss=0.589, train_loss=0.519]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.22it/s, v_num=ld_3, val_loss=0.563, train_loss=0.519]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.96it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 85.25it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 83.80it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.78it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.03it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.75it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.18it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.95it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.59it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.14it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.84it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.23it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.98it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.09it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.88it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.26it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.08it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.91it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.73it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.94it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.79it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.00it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.87it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.07it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.94it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.49it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.37it/s, v_num=ld_3, val_loss=0.563, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.68it/s, v_num=ld_3, val_loss=0.569, train_loss=0.507]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.39it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 82.83it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 81.04it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.91it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.20it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.60it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.11it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.72it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.36it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.04it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.72it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.15it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.90it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.72it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.50it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.74it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.55it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.77it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.60it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.80it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.64it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.84it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.71it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.76it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.64it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.87it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.74it/s, v_num=ld_3, val_loss=0.569, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.12it/s, v_num=ld_3, val_loss=0.591, train_loss=0.503]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.85it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 85.00it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 83.56it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.21it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.48it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.45it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.96it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.93it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.56it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.18it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.86it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.38it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.11it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.52it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.31it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.39it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.20it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.36it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.19it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.29it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.12it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.98it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.83it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.97it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.83it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.43it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.30it/s, v_num=ld_3, val_loss=0.591, train_loss=0.509]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.62it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.35it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 85.63it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 84.03it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.80it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.07it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.92it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.37it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.26it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.90it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.60it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.31it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.75it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.51it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.95it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.74it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.78it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.59it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.89it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.71it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.98it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.84it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.99it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.85it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.90it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.78it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.32it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.21it/s, v_num=ld_3, val_loss=0.595, train_loss=0.509]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.48it/s, v_num=ld_3, val_loss=0.574, train_loss=0.509]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.22it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 79.79it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 78.41it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.35it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.66it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.72it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.25it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.32it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.96it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.32it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.04it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.51it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.27it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.70it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.47it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.85it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.67it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.89it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.74it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.09it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.93it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.22it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.09it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.37it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.25it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.48it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.36it/s, v_num=ld_3, val_loss=0.574, train_loss=0.502]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.82it/s, v_num=ld_3, val_loss=0.571, train_loss=0.502]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.55it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 82.11it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 80.74it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.89it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.18it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.87it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.40it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.92it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.57it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.49it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.16it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.48it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.22it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.62it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.39it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.36it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.17it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.35it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.19it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.38it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.23it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.91it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.77it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.89it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.78it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.22it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.11it/s, v_num=ld_3, val_loss=0.571, train_loss=0.499]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.60it/s, v_num=ld_3, val_loss=0.599, train_loss=0.499]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.33it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 82.76it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 81.25it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.05it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.33it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.08it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 79.61it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.44it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.10it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.24it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.82it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.58it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.36it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.77it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.58it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.88it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.71it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.79it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.61it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.82it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.68it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.91it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.78it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.96it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.84it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.52it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.41it/s, v_num=ld_3, val_loss=0.599, train_loss=0.504]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.79it/s, v_num=ld_3, val_loss=0.613, train_loss=0.504]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.53it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 78.29it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 76.98it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.14it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.46it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.39it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.92it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.09it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.74it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.58it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.29it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.75it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.51it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.79it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.58it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.05it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.87it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.30it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.13it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.51it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.37it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.72it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.59it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.91it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.77it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.08it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.97it/s, v_num=ld_3, val_loss=0.613, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.43it/s, v_num=ld_3, val_loss=0.585, train_loss=0.510]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.16it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 82.65it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 81.27it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.47it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.78it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.43it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.96it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.91it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.51it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.48it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.20it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.91it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.67it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.84it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 82.64it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.01it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.83it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.15it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.99it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.22it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.07it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.82it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.67it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.90it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.78it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.37it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.26it/s, v_num=ld_3, val_loss=0.585, train_loss=0.505]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.80it/s, v_num=ld_3, val_loss=0.582, train_loss=0.505]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.53it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 82.06it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 80.71it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.16it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.38it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.37it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.84it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.64it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.24it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.13it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.83it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.18it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.93it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.35it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.14it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.26it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.04it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.45it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.24it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.12it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.96it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.85it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.69it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.65it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.52it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.85it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.72it/s, v_num=ld_3, val_loss=0.582, train_loss=0.517]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.29it/s, v_num=ld_3, val_loss=0.611, train_loss=0.517]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.02it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 80.34it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 78.94it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.85it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.18it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.54it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.08it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.46it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.12it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.31it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.03it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.31it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.08it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.14it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.93it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.04it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 79.86it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.53it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.37it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.00it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 79.85it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.47it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.35it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.89it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.78it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.35it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.22it/s, v_num=ld_3, val_loss=0.611, train_loss=0.509]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.18it/s, v_num=ld_3, val_loss=0.578, train_loss=0.509]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.93it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 83.31it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 81.83it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.10it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.39it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.23it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.75it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.43it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.08it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.26it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.95it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.48it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.24it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.56it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.36it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.77it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.57it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.07it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.91it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.35it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.20it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.40it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.25it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.52it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.39it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.15it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.03it/s, v_num=ld_3, val_loss=0.578, train_loss=0.523]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.79it/s, v_num=ld_3, val_loss=0.588, train_loss=0.523]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.52it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 86.46it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 84.97it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.08it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.35it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.83it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.28it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 79.75it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 79.43it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.23it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 79.97it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.31it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 80.04it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 80.01it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 79.82it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.61it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.44it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.77it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.60it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.83it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.68it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.83it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.71it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.09it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.98it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.69it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.58it/s, v_num=ld_3, val_loss=0.588, train_loss=0.511]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.52it/s, v_num=ld_3, val_loss=0.568, train_loss=0.511]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.26it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 81.54it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:   8%|โ–Š         | 1/13 [00:00<00:00, 80.06it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.69it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.98it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.19it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.71it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.00it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.65it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.32it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.00it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.77it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.53it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.41it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.17it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.56it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.39it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.88it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.72it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.03it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.89it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.15it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.02it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.43it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.31it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.46it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.35it/s, v_num=ld_3, val_loss=0.568, train_loss=0.508]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.02it/s, v_num=ld_3, val_loss=0.569, train_loss=0.508]
Epoch 29: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.75it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 29:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 84.36it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:   8%|โ–Š         | 1/13 [00:00<00:00, 82.78it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.97it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.19it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.28it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.82it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.68it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.33it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.95it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.67it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.50it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.27it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.96it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.76it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.90it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.72it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.10it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 80.94it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.19it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.06it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 81.03it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.89it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.80it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.69it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.49it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.39it/s, v_num=ld_3, val_loss=0.569, train_loss=0.504]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.32it/s, v_num=ld_3, val_loss=0.581, train_loss=0.504]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.06it/s, v_num=ld_3, val_loss=0.581, train_loss=0.503]
Epoch 30: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.78it/s, v_num=ld_3, val_loss=0.581, train_loss=0.503]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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           0.9337616562843323
      Accuracy_val          0.8799999952316284
        val_loss            0.5809109807014465
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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, 50.79it/s]
Epoch 0:   8%|โ–Š         | 1/13 [00:00<00:00, 49.95it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.98it/s, v_num=ld_4]
Epoch 0:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 53.55it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 55.48it/s, v_num=ld_4]
Epoch 0:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 55.19it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 56.70it/s, v_num=ld_4]
Epoch 0:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 56.51it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.87it/s, v_num=ld_4]
Epoch 0:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 60.73it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 64.02it/s, v_num=ld_4]
Epoch 0:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 63.87it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.21it/s, v_num=ld_4]
Epoch 0:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 66.07it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.23it/s, v_num=ld_4]
Epoch 0:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 68.12it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 70.05it/s, v_num=ld_4]
Epoch 0:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 69.95it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.47it/s, v_num=ld_4]
Epoch 0:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 71.37it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.71it/s, v_num=ld_4]
Epoch 0:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 72.62it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 73.81it/s, v_num=ld_4]
Epoch 0:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 73.70it/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, 74.66it/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, 74.58it/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, 68.38it/s, v_num=ld_4, val_loss=0.661]
Epoch 0: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 68.17it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 0:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 87.79it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:   8%|โ–Š         | 1/13 [00:00<00:00, 86.25it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.91it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.14it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.49it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.92it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.90it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.53it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.79it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.49it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.68it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.40it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.64it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.42it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.38it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.19it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.99it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.81it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.77it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.86it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.69it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.78it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.65it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.16it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.05it/s, v_num=ld_4, val_loss=0.661, train_loss=0.668]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.12it/s, v_num=ld_4, val_loss=0.627, train_loss=0.668]
Epoch 1: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.86it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 1:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 81.53it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:   8%|โ–Š         | 1/13 [00:00<00:00, 80.01it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.36it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.66it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.19it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.71it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.65it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.28it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.74it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.45it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.60it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.34it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.29it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.01it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.19it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.99it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.35it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.19it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.59it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.45it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.78it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.62it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.87it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.74it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.94it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.82it/s, v_num=ld_4, val_loss=0.627, train_loss=0.594]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.29it/s, v_num=ld_4, val_loss=0.604, train_loss=0.594]
Epoch 2: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.03it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 2:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 86.17it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:   8%|โ–Š         | 1/13 [00:00<00:00, 84.55it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.15it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.39it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.65it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.09it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.98it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.60it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.26it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.95it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.44it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.17it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.53it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.31it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.67it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.47it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.81it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.62it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.96it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.80it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.59it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.44it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.57it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.43it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.85it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.72it/s, v_num=ld_4, val_loss=0.604, train_loss=0.617]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.61it/s, v_num=ld_4, val_loss=0.602, train_loss=0.617]
Epoch 3: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.32it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 3:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 85.61it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:   8%|โ–Š         | 1/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.50it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.77it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.21it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.67it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.55it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.20it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.60it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.32it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.90it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.13it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.92it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.24it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.04it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.19it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.99it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.46it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.32it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.79it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.65it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.02it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.89it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.42it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.31it/s, v_num=ld_4, val_loss=0.602, train_loss=0.566]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.62it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 4: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.35it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 4:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 81.95it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:   8%|โ–Š         | 1/13 [00:00<00:00, 80.42it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.16it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.45it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.14it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.10it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.73it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.44it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.15it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.62it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.35it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.23it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.98it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.39it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.21it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.30it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.13it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.27it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.11it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.03it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.88it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.08it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.96it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.21it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.09it/s, v_num=ld_4, val_loss=0.629, train_loss=0.566]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.36it/s, v_num=ld_4, val_loss=0.596, train_loss=0.566]
Epoch 5: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.08it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 5:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 86.19it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:   8%|โ–Š         | 1/13 [00:00<00:00, 84.70it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.76it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.92it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.43it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.93it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.44it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.07it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.68it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.36it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.23it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.98it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.18it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.97it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.25it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.05it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.61it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.45it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.92it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.78it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.44it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.67it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.54it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.05it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.93it/s, v_num=ld_4, val_loss=0.596, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.15it/s, v_num=ld_4, val_loss=0.595, train_loss=0.553]
Epoch 6: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.86it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 6:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 81.84it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:   8%|โ–Š         | 1/13 [00:00<00:00, 80.18it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.96it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.21it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.68it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.14it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.79it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 80.46it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 81.17it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 80.90it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.39it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.17it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.95it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.75it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 82.13it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.96it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.14it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.97it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.39it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.26it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.73it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.60it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.09it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.97it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.69it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.58it/s, v_num=ld_4, val_loss=0.595, train_loss=0.548]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.12it/s, v_num=ld_4, val_loss=0.580, train_loss=0.548]
Epoch 7: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.85it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 7:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 79.74it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:   8%|โ–Š         | 1/13 [00:00<00:00, 78.33it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.20it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.42it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.29it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.78it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.85it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.50it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.25it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.96it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.66it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.33it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.08it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.38it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.20it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.78it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.01it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.86it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.10it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.97it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.12it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.99it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.23it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.10it/s, v_num=ld_4, val_loss=0.580, train_loss=0.537]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.42it/s, v_num=ld_4, val_loss=0.579, train_loss=0.537]
Epoch 8: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.14it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 8:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 84.66it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:   8%|โ–Š         | 1/13 [00:00<00:00, 83.23it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.83it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.11it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.86it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.31it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.90it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.52it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.43it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.10it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.59it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.34it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.58it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.35it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.64it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.45it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.68it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.49it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.73it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.57it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.41it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.26it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.51it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.39it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.93it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.82it/s, v_num=ld_4, val_loss=0.579, train_loss=0.532]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.93it/s, v_num=ld_4, val_loss=0.592, train_loss=0.532]
Epoch 9: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.65it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 9:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 86.54it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:   8%|โ–Š         | 1/13 [00:00<00:00, 85.05it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.05it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.31it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.59it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.06it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.63it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.28it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.06it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.77it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.46it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.19it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.68it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.47it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.71it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.53it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.45it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.28it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.63it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.48it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.83it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.70it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.61it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.48it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.95it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.83it/s, v_num=ld_4, val_loss=0.592, train_loss=0.529]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.16it/s, v_num=ld_4, val_loss=0.600, train_loss=0.529]
Epoch 10: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.88it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 10:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 78.89it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:   8%|โ–Š         | 1/13 [00:00<00:00, 77.55it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.17it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.50it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.23it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.77it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.58it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.24it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.56it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.28it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.20it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 81.97it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.39it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.19it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.56it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 81.39it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.86it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.71it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.24it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.10it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.54it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.40it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.70it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.59it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.91it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 82.79it/s, v_num=ld_4, val_loss=0.600, train_loss=0.535]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.28it/s, v_num=ld_4, val_loss=0.605, train_loss=0.535]
Epoch 11: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.94it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 11:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:   8%|โ–Š         | 1/13 [00:00<00:00, 82.98it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.70it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.97it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.47it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.98it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.88it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.47it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.27it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.96it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.51it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.27it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.81it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.81it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.63it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.06it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.90it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.33it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.17it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.18it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.02it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.26it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.14it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.66it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.54it/s, v_num=ld_4, val_loss=0.605, train_loss=0.540]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.75it/s, v_num=ld_4, val_loss=0.590, train_loss=0.540]
Epoch 12: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.47it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 12:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 87.51it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:   8%|โ–Š         | 1/13 [00:00<00:00, 85.97it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.77it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.01it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.07it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.61it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.25it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.12it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.81it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.88it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.62it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.78it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.56it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.65it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.45it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 83.05it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 82.88it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.03it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 82.88it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.94it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 82.81it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.81it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 82.69it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.29it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.17it/s, v_num=ld_4, val_loss=0.590, train_loss=0.528]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.57it/s, v_num=ld_4, val_loss=0.575, train_loss=0.528]
Epoch 13: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.31it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 13:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 80.05it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:   8%|โ–Š         | 1/13 [00:00<00:00, 78.57it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.82it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.11it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.29it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.82it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.14it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 82.79it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.48it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.19it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.76it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.53it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.81it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.58it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.26it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.08it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.72it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.56it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.10it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.94it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.34it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.21it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.55it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.42it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.56it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.44it/s, v_num=ld_4, val_loss=0.575, train_loss=0.538]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.69it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 14: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.41it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 14:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 89.05it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:   8%|โ–Š         | 1/13 [00:00<00:00, 87.47it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 88.55it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.75it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 88.28it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 87.75it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 88.27it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 87.87it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 87.43it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 87.09it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 87.35it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 87.09it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 87.13it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.90it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 87.35it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 87.15it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 87.47it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 87.28it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 87.47it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 87.31it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 87.17it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 87.01it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 87.18it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 87.05it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 87.59it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 87.47it/s, v_num=ld_4, val_loss=0.632, train_loss=0.530]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.43it/s, v_num=ld_4, val_loss=0.617, train_loss=0.530]
Epoch 15: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.13it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 15:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 87.68it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:   8%|โ–Š         | 1/13 [00:00<00:00, 86.15it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 88.14it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 87.36it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.77it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.20it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.75it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.37it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.85it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.54it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.86it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.60it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.94it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.72it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 87.05it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.84it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.53it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.33it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.46it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.31it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.29it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.15it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.23it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.10it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.60it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.48it/s, v_num=ld_4, val_loss=0.617, train_loss=0.532]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.54it/s, v_num=ld_4, val_loss=0.592, train_loss=0.532]
Epoch 16: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.26it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 16:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 82.32it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:   8%|โ–Š         | 1/13 [00:00<00:00, 80.71it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.42it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.92it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.38it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.27it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.90it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.48it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.18it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.85it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.60it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.32it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.03it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.06it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.88it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.84it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.67it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.92it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.78it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.08it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.93it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.17it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.05it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.24it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.12it/s, v_num=ld_4, val_loss=0.592, train_loss=0.525]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.45it/s, v_num=ld_4, val_loss=0.645, train_loss=0.525]
Epoch 17: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.17it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 17:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 85.47it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:   8%|โ–Š         | 1/13 [00:00<00:00, 84.00it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.65it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.26it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.78it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.84it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 84.44it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.03it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.72it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.29it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.02it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.54it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.33it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.80it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.62it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.89it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.73it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.97it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.83it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.76it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.61it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.85it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.73it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.32it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.21it/s, v_num=ld_4, val_loss=0.645, train_loss=0.542]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.51it/s, v_num=ld_4, val_loss=0.619, train_loss=0.542]
Epoch 18: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.23it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 18:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 83.98it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:   8%|โ–Š         | 1/13 [00:00<00:00, 82.56it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.63it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 83.90it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.36it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.88it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.97it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.61it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.23it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.94it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.39it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.40it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.67it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.48it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.31it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.13it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.27it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.49it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.33it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.56it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.44it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.76it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.64it/s, v_num=ld_4, val_loss=0.619, train_loss=0.540]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.85it/s, v_num=ld_4, val_loss=0.632, train_loss=0.540]
Epoch 19: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.57it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 19:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 80.02it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:   8%|โ–Š         | 1/13 [00:00<00:00, 78.66it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.31it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.58it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.00it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.53it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.56it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.17it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.99it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.70it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.40it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.16it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.10it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.87it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.08it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 83.90it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.32it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.55it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.40it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.03it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.88it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.26it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.41it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.30it/s, v_num=ld_4, val_loss=0.632, train_loss=0.538]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.72it/s, v_num=ld_4, val_loss=0.618, train_loss=0.538]
Epoch 20: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.45it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 20:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 86.72it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:   8%|โ–Š         | 1/13 [00:00<00:00, 85.19it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.80it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.00it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.54it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.99it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.83it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.46it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.23it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.93it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.88it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.64it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.40it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.19it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.71it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.52it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.03it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.86it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.67it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.52it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.46it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.31it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.60it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.47it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.92it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.80it/s, v_num=ld_4, val_loss=0.618, train_loss=0.523]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.99it/s, v_num=ld_4, val_loss=0.646, train_loss=0.523]
Epoch 21: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.72it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 21:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 85.79it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:   8%|โ–Š         | 1/13 [00:00<00:00, 84.32it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.94it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.18it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.81it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.29it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.03it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.65it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.17it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.87it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.31it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.05it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.57it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.35it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.69it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.48it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.19it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.02it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.80it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.65it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.86it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.72it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.39it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.27it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.74it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.62it/s, v_num=ld_4, val_loss=0.646, train_loss=0.539]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.57it/s, v_num=ld_4, val_loss=0.625, train_loss=0.539]
Epoch 22: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.30it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 22:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 77.84it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:   8%|โ–Š         | 1/13 [00:00<00:00, 76.53it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 80.34it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 79.68it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 81.34it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 80.87it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.97it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 81.62it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.66it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 82.34it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.11it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 82.88it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.52it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 81.31it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.89it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 80.73it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.17it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 81.02it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 81.07it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 80.94it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.97it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 80.85it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 81.10it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 80.99it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.42it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 81.30it/s, v_num=ld_4, val_loss=0.625, train_loss=0.524]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 74.03it/s, v_num=ld_4, val_loss=0.617, train_loss=0.524]
Epoch 23: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 73.78it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 23:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 83.68it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:   8%|โ–Š         | 1/13 [00:00<00:00, 82.25it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.97it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 84.10it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.63it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.13it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.06it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.68it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.77it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.47it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.68it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 83.40it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.89it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.67it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.24it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.06it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.30it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.14it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.83it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 83.68it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.57it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 83.42it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.81it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 83.70it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.94it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 83.80it/s, v_num=ld_4, val_loss=0.617, train_loss=0.525]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.12it/s, v_num=ld_4, val_loss=0.609, train_loss=0.525]
Epoch 24: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 75.83it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 24:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 71.40it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:   8%|โ–Š         | 1/13 [00:00<00:00, 70.21it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.96it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 71.36it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 72.01it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 71.62it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.81it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 71.54it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 73.41it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 73.18it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 74.97it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 74.77it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 75.94it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 75.77it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.99it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 76.84it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 77.52it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 77.31it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 77.91it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 77.78it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 78.26it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 78.13it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 78.69it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 78.57it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.38it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 79.28it/s, v_num=ld_4, val_loss=0.609, train_loss=0.533]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.43it/s, v_num=ld_4, val_loss=0.662, train_loss=0.533]
Epoch 25: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 72.18it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 25:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 79.95it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:   8%|โ–Š         | 1/13 [00:00<00:00, 78.62it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 82.58it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 81.89it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 83.20it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 82.73it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.39it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 83.04it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 84.13it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 83.84it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 84.18it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 84.09it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 83.86it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.33it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 84.13it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.42it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 84.24it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.56it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 84.41it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.75it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 84.60it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.74it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 84.62it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.72it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 84.61it/s, v_num=ld_4, val_loss=0.662, train_loss=0.554]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.99it/s, v_num=ld_4, val_loss=0.638, train_loss=0.554]
Epoch 26: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 76.72it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 26:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 85.62it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:   8%|โ–Š         | 1/13 [00:00<00:00, 84.01it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 86.44it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.68it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.64it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 86.08it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 87.17it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 86.78it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.81it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 86.47it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.80it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 86.54it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.57it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 86.34it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.71it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 86.52it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.83it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 86.64it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.85it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 86.69it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.55it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 86.39it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.52it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 86.37it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.89it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 86.76it/s, v_num=ld_4, val_loss=0.638, train_loss=0.551]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.84it/s, v_num=ld_4, val_loss=0.635, train_loss=0.551]
Epoch 27: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 78.56it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 27:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:   0%|          | 0/13 [00:00<?, ?it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 88.05it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:   8%|โ–Š         | 1/13 [00:00<00:00, 86.50it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.76it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  15%|โ–ˆโ–Œ        | 2/13 [00:00<00:00, 85.01it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 85.39it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  23%|โ–ˆโ–ˆโ–Ž       | 3/13 [00:00<00:00, 84.84it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.58it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  31%|โ–ˆโ–ˆโ–ˆ       | 4/13 [00:00<00:00, 85.21it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.34it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  38%|โ–ˆโ–ˆโ–ˆโ–Š      | 5/13 [00:00<00:00, 85.02it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.60it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  46%|โ–ˆโ–ˆโ–ˆโ–ˆโ–Œ     | 6/13 [00:00<00:00, 85.35it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.82it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  54%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–    | 7/13 [00:00<00:00, 85.58it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.96it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  62%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–   | 8/13 [00:00<00:00, 85.77it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.69it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  69%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‰   | 9/13 [00:00<00:00, 85.51it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.19it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  77%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‹  | 10/13 [00:00<00:00, 85.04it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.43it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  85%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ– | 11/13 [00:00<00:00, 85.30it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.45it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28:  92%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–| 12/13 [00:00<00:00, 85.31it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.73it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 85.60it/s, v_num=ld_4, val_loss=0.635, train_loss=0.584]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.83it/s, v_num=ld_4, val_loss=0.622, train_loss=0.584]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.56it/s, v_num=ld_4, val_loss=0.622, train_loss=0.567]
Epoch 28: 100%|โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ| 13/13 [00:00<00:00, 77.26it/s, v_num=ld_4, val_loss=0.622, train_loss=0.567]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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           0.7366946935653687
      Accuracy_val          0.7300000190734863
        val_loss            0.6217707991600037
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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=0.605, Fold 1: auroc=0.500, Fold 2: auroc=0.500, Fold 3: auroc=0.812, Fold 4: auroc=0.934, Fold 5: auroc=0.737

Total running time of the script: (0 minutes 25.156 seconds)

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