Regression: Comparing Two Tabular Models Trained on Simulated Data

🚀 Welcome to this tutorial on training and comparing two fusion models on a regression task using simulated multimodal tabular data! 🎉

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 half’s values have been inverted to make the task more difficult. The prediction labels (the number shown in the image) has been changed into a continuous variable (1.0, 2.0, 3.0, etc.) and had some noise added to it. So the labels look more like 1.05, 2.02, 3.01, etc.

🌟 Key Features:

• 📥 Importing models based on name.

• 🧪 Training and testing models with train/test protocol.

• 💾 Saving trained models to a dictionary for later analysis.

• 📊 Plotting the results of a single model.

• 📈 Plotting the results of multiple models as a bar chart.

• 💾 Saving the results of multiple models as a CSV file.

import importlib

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

from fusilli.data import prepare_fusion_data
from fusilli.eval import RealsVsPreds, ModelComparison
from fusilli.train import train_and_save_models
from fusilli.utils.model_chooser import import_chosen_fusion_models

# sphinx_gallery_thumbnail_number = -1

1. Import fusion models 🔍

Let’s kick things off by importing our fusion models. The models are imported using the import_chosen_fusion_models() function, which takes a dictionary of conditions as an input. The conditions are the attributes of the models, e.g. the class name, the modality type, etc.

The function returns list of class objects that match the conditions. If no conditions are specified, then all the models are returned.

We’re importing Tabular1Unimodal and ConcatTabularFeatureMaps `models for this example, so we have one unimodal benchmark and one multimodal model.

model_conditions = {
    "class_name": ["Tabular1Unimodal", "ConcatTabularFeatureMaps"],
}

fusion_models = import_chosen_fusion_models(model_conditions)

Imported methods:
['Tabular1 uni-modal' 'Concatenating tabular feature maps']

2. Set the training parameters 🎯

Now, let’s configure our training parameters. The parameters are stored in a dictionary and passed to most of the methods in this library.

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 can’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.

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

# Set the batch size
batch_size = 48

# Set the test_size
test_size = 0.3

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

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 🔮

We’re using MNIST data 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_regression.csv",
    "tabular2": "../../_static/mnist_data/mnist2_regression.csv",
    "image": "",
}

4. Training the first fusion model 🏁

Here we train the first fusion model. We’re using the train_and_save_models function to train and test the models. This function takes the following inputs:

• 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.

First we’ll create a dictionary to store both the trained models so we can compare them later.

all_trained_models = {}  # create dictionary to store trained models

To train the first model we need to:

1. Choose the model: We’re using the first model in the fusion_models list we made earlier.

2. Print the attributes of the model: To check it’s been initialised correctly.

3. Create the datamodule: This is done with the prepare_fusion_data() function. This function takes the initialised model and some parameters as inputs. It returns the datamodule.

4. Train and test the model: This is done with the train_and_save_models() function. This function takes the datamodule and the fusion model as inputs, as well as optional training modifications. It returns the trained model.

5. Add the trained model to the ``all_trained_models`` dictionary: This is so we can compare the results of the two models later.

fusion_model = fusion_models[0]

print("Method name:", fusion_model.method_name)
print("Modality type:", fusion_model.modality_type)
print("Fusion type:", fusion_model.fusion_type)

# Create the data module
dm = prepare_fusion_data(prediction_task=prediction_task,
                         fusion_model=fusion_model,
                         data_paths=data_paths,
                         output_paths=output_paths,
                         batch_size=batch_size,
                         test_size=test_size)

# train and test
model_1_list = train_and_save_models(
    data_module=dm,
    fusion_model=fusion_model,
    enable_checkpointing=False,  # False for the example notebooks
    show_loss_plot=True,
)

# Add trained model to dictionary
all_trained_models[fusion_model.__name__] = model_1_list

Method name: Tabular1 uni-modal
Modality type: tabular1
Fusion type: unimodal

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/8 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/8 [00:00<?, ?it/s]
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Epoch 0:  12%|█▎        | 1/8 [00:00<00:00, 98.93it/s, v_num=odal]
Epoch 0:  25%|██▌       | 2/8 [00:00<00:00, 110.75it/s, v_num=odal]
Epoch 0:  25%|██▌       | 2/8 [00:00<00:00, 109.43it/s, v_num=odal]
Epoch 0:  38%|███▊      | 3/8 [00:00<00:00, 114.49it/s, v_num=odal]
Epoch 0:  38%|███▊      | 3/8 [00:00<00:00, 113.50it/s, v_num=odal]
Epoch 0:  50%|█████     | 4/8 [00:00<00:00, 117.16it/s, v_num=odal]
Epoch 0:  50%|█████     | 4/8 [00:00<00:00, 116.46it/s, v_num=odal]
Epoch 0:  62%|██████▎   | 5/8 [00:00<00:00, 118.83it/s, v_num=odal]
Epoch 0:  62%|██████▎   | 5/8 [00:00<00:00, 118.26it/s, v_num=odal]
Epoch 0:  75%|███████▌  | 6/8 [00:00<00:00, 120.08it/s, v_num=odal]
Epoch 0:  75%|███████▌  | 6/8 [00:00<00:00, 119.62it/s, v_num=odal]
Epoch 0:  88%|████████▊ | 7/8 [00:00<00:00, 120.51it/s, v_num=odal]
Epoch 0:  88%|████████▊ | 7/8 [00:00<00:00, 120.09it/s, v_num=odal]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 121.28it/s, v_num=odal]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 120.94it/s, v_num=odal]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 102.77it/s, v_num=odal, val_loss=8.870]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 101.87it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 0:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  12%|█▎        | 1/8 [00:00<00:00, 121.81it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  12%|█▎        | 1/8 [00:00<00:00, 118.78it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  25%|██▌       | 2/8 [00:00<00:00, 123.81it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  25%|██▌       | 2/8 [00:00<00:00, 122.27it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  38%|███▊      | 3/8 [00:00<00:00, 123.06it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  38%|███▊      | 3/8 [00:00<00:00, 122.03it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  50%|█████     | 4/8 [00:00<00:00, 123.88it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  50%|█████     | 4/8 [00:00<00:00, 123.10it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  62%|██████▎   | 5/8 [00:00<00:00, 123.96it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  62%|██████▎   | 5/8 [00:00<00:00, 123.34it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  75%|███████▌  | 6/8 [00:00<00:00, 124.50it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  75%|███████▌  | 6/8 [00:00<00:00, 123.97it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  88%|████████▊ | 7/8 [00:00<00:00, 124.11it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1:  88%|████████▊ | 7/8 [00:00<00:00, 123.67it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 125.42it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 124.98it/s, v_num=odal, val_loss=8.870, train_loss=13.70]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 106.81it/s, v_num=odal, val_loss=8.130, train_loss=13.70]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 105.91it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 1:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  12%|█▎        | 1/8 [00:00<00:00, 126.78it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  12%|█▎        | 1/8 [00:00<00:00, 123.59it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  25%|██▌       | 2/8 [00:00<00:00, 126.67it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  25%|██▌       | 2/8 [00:00<00:00, 125.05it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  38%|███▊      | 3/8 [00:00<00:00, 124.02it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  38%|███▊      | 3/8 [00:00<00:00, 122.94it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  50%|█████     | 4/8 [00:00<00:00, 124.79it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  50%|█████     | 4/8 [00:00<00:00, 124.02it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  62%|██████▎   | 5/8 [00:00<00:00, 125.35it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  62%|██████▎   | 5/8 [00:00<00:00, 124.71it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  75%|███████▌  | 6/8 [00:00<00:00, 125.94it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  75%|███████▌  | 6/8 [00:00<00:00, 125.34it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  88%|████████▊ | 7/8 [00:00<00:00, 126.33it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2:  88%|████████▊ | 7/8 [00:00<00:00, 125.87it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 126.81it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 126.41it/s, v_num=odal, val_loss=8.130, train_loss=9.090]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 107.63it/s, v_num=odal, val_loss=5.130, train_loss=9.090]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 106.82it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 2:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  12%|█▎        | 1/8 [00:00<00:00, 125.30it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  12%|█▎        | 1/8 [00:00<00:00, 122.15it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  25%|██▌       | 2/8 [00:00<00:00, 126.40it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  25%|██▌       | 2/8 [00:00<00:00, 124.81it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  38%|███▊      | 3/8 [00:00<00:00, 125.56it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  38%|███▊      | 3/8 [00:00<00:00, 124.49it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  50%|█████     | 4/8 [00:00<00:00, 124.51it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  50%|█████     | 4/8 [00:00<00:00, 123.59it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  62%|██████▎   | 5/8 [00:00<00:00, 124.78it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  62%|██████▎   | 5/8 [00:00<00:00, 124.08it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  75%|███████▌  | 6/8 [00:00<00:00, 125.24it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  75%|███████▌  | 6/8 [00:00<00:00, 124.72it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  88%|████████▊ | 7/8 [00:00<00:00, 125.12it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3:  88%|████████▊ | 7/8 [00:00<00:00, 124.67it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 126.05it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 125.65it/s, v_num=odal, val_loss=5.130, train_loss=6.000]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 107.32it/s, v_num=odal, val_loss=4.640, train_loss=6.000]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 106.57it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 3:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  12%|█▎        | 1/8 [00:00<00:00, 123.46it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  12%|█▎        | 1/8 [00:00<00:00, 120.44it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  25%|██▌       | 2/8 [00:00<00:00, 123.59it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  25%|██▌       | 2/8 [00:00<00:00, 122.05it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  38%|███▊      | 3/8 [00:00<00:00, 125.13it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  38%|███▊      | 3/8 [00:00<00:00, 123.73it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  50%|█████     | 4/8 [00:00<00:00, 124.37it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  50%|█████     | 4/8 [00:00<00:00, 123.57it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  62%|██████▎   | 5/8 [00:00<00:00, 123.05it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  62%|██████▎   | 5/8 [00:00<00:00, 122.44it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  75%|███████▌  | 6/8 [00:00<00:00, 123.66it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  75%|███████▌  | 6/8 [00:00<00:00, 123.13it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  88%|████████▊ | 7/8 [00:00<00:00, 123.77it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4:  88%|████████▊ | 7/8 [00:00<00:00, 123.33it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 125.58it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 125.19it/s, v_num=odal, val_loss=4.640, train_loss=4.350]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 106.64it/s, v_num=odal, val_loss=4.210, train_loss=4.350]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 105.79it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 4:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  12%|█▎        | 1/8 [00:00<00:00, 121.67it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  12%|█▎        | 1/8 [00:00<00:00, 118.73it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  25%|██▌       | 2/8 [00:00<00:00, 121.63it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  25%|██▌       | 2/8 [00:00<00:00, 120.16it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  38%|███▊      | 3/8 [00:00<00:00, 123.44it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  38%|███▊      | 3/8 [00:00<00:00, 122.38it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  50%|█████     | 4/8 [00:00<00:00, 124.93it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  50%|█████     | 4/8 [00:00<00:00, 124.04it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  62%|██████▎   | 5/8 [00:00<00:00, 125.35it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  62%|██████▎   | 5/8 [00:00<00:00, 124.71it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  75%|███████▌  | 6/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  75%|███████▌  | 6/8 [00:00<00:00, 124.73it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  88%|████████▊ | 7/8 [00:00<00:00, 126.04it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5:  88%|████████▊ | 7/8 [00:00<00:00, 125.57it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 127.42it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 126.98it/s, v_num=odal, val_loss=4.210, train_loss=3.770]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 108.30it/s, v_num=odal, val_loss=3.740, train_loss=3.770]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 107.51it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 5:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  12%|█▎        | 1/8 [00:00<00:00, 128.79it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  12%|█▎        | 1/8 [00:00<00:00, 125.27it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  25%|██▌       | 2/8 [00:00<00:00, 126.10it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  25%|██▌       | 2/8 [00:00<00:00, 124.33it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  38%|███▊      | 3/8 [00:00<00:00, 126.56it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  38%|███▊      | 3/8 [00:00<00:00, 125.48it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  50%|█████     | 4/8 [00:00<00:00, 126.80it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  50%|█████     | 4/8 [00:00<00:00, 125.98it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  62%|██████▎   | 5/8 [00:00<00:00, 127.19it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  62%|██████▎   | 5/8 [00:00<00:00, 126.53it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  75%|███████▌  | 6/8 [00:00<00:00, 127.91it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  75%|███████▌  | 6/8 [00:00<00:00, 127.30it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  88%|████████▊ | 7/8 [00:00<00:00, 127.53it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6:  88%|████████▊ | 7/8 [00:00<00:00, 127.00it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 128.98it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 128.51it/s, v_num=odal, val_loss=3.740, train_loss=3.040]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 109.31it/s, v_num=odal, val_loss=3.760, train_loss=3.040]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 108.51it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 6:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  12%|█▎        | 1/8 [00:00<00:00, 128.34it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  12%|█▎        | 1/8 [00:00<00:00, 124.99it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  25%|██▌       | 2/8 [00:00<00:00, 128.35it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  25%|██▌       | 2/8 [00:00<00:00, 126.51it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  38%|███▊      | 3/8 [00:00<00:00, 126.81it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  38%|███▊      | 3/8 [00:00<00:00, 125.57it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  50%|█████     | 4/8 [00:00<00:00, 126.72it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  50%|█████     | 4/8 [00:00<00:00, 125.85it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  62%|██████▎   | 5/8 [00:00<00:00, 127.03it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  62%|██████▎   | 5/8 [00:00<00:00, 126.37it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  75%|███████▌  | 6/8 [00:00<00:00, 127.37it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  75%|███████▌  | 6/8 [00:00<00:00, 126.82it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  88%|████████▊ | 7/8 [00:00<00:00, 127.48it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7:  88%|████████▊ | 7/8 [00:00<00:00, 127.01it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 128.23it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 127.82it/s, v_num=odal, val_loss=3.760, train_loss=2.380]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 108.99it/s, v_num=odal, val_loss=3.700, train_loss=2.380]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 108.16it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 7:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  12%|█▎        | 1/8 [00:00<00:00, 130.35it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  12%|█▎        | 1/8 [00:00<00:00, 127.00it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  25%|██▌       | 2/8 [00:00<00:00, 130.44it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  25%|██▌       | 2/8 [00:00<00:00, 128.72it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  38%|███▊      | 3/8 [00:00<00:00, 129.66it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  38%|███▊      | 3/8 [00:00<00:00, 128.42it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  50%|█████     | 4/8 [00:00<00:00, 128.72it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  50%|█████     | 4/8 [00:00<00:00, 127.69it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  62%|██████▎   | 5/8 [00:00<00:00, 128.68it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  62%|██████▎   | 5/8 [00:00<00:00, 128.00it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  75%|███████▌  | 6/8 [00:00<00:00, 128.67it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  75%|███████▌  | 6/8 [00:00<00:00, 128.07it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  88%|████████▊ | 7/8 [00:00<00:00, 128.44it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8:  88%|████████▊ | 7/8 [00:00<00:00, 127.92it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 129.52it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 129.10it/s, v_num=odal, val_loss=3.700, train_loss=2.250]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 109.90it/s, v_num=odal, val_loss=3.400, train_loss=2.250]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 109.09it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 8:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  12%|█▎        | 1/8 [00:00<00:00, 123.05it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  12%|█▎        | 1/8 [00:00<00:00, 119.66it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  25%|██▌       | 2/8 [00:00<00:00, 125.06it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  25%|██▌       | 2/8 [00:00<00:00, 123.51it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  38%|███▊      | 3/8 [00:00<00:00, 126.23it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  38%|███▊      | 3/8 [00:00<00:00, 125.16it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  50%|█████     | 4/8 [00:00<00:00, 126.79it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  50%|█████     | 4/8 [00:00<00:00, 125.96it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  62%|██████▎   | 5/8 [00:00<00:00, 126.36it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  62%|██████▎   | 5/8 [00:00<00:00, 125.72it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  75%|███████▌  | 6/8 [00:00<00:00, 127.15it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  75%|███████▌  | 6/8 [00:00<00:00, 126.55it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  88%|████████▊ | 7/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9:  88%|████████▊ | 7/8 [00:00<00:00, 126.86it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 128.94it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 128.52it/s, v_num=odal, val_loss=3.400, train_loss=2.070]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 109.62it/s, v_num=odal, val_loss=3.560, train_loss=2.070]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 108.79it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 9:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  12%|█▎        | 1/8 [00:00<00:00, 118.97it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  12%|█▎        | 1/8 [00:00<00:00, 116.03it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  25%|██▌       | 2/8 [00:00<00:00, 124.64it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  25%|██▌       | 2/8 [00:00<00:00, 122.91it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  38%|███▊      | 3/8 [00:00<00:00, 125.09it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  38%|███▊      | 3/8 [00:00<00:00, 123.91it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  50%|█████     | 4/8 [00:00<00:00, 126.05it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  50%|█████     | 4/8 [00:00<00:00, 125.25it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  62%|██████▎   | 5/8 [00:00<00:00, 126.21it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  62%|██████▎   | 5/8 [00:00<00:00, 125.57it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  75%|███████▌  | 6/8 [00:00<00:00, 125.88it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  75%|███████▌  | 6/8 [00:00<00:00, 125.34it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  88%|████████▊ | 7/8 [00:00<00:00, 125.72it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10:  88%|████████▊ | 7/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 126.13it/s, v_num=odal, val_loss=3.560, train_loss=1.580]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 107.90it/s, v_num=odal, val_loss=3.860, train_loss=1.580]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 107.11it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 10:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  12%|█▎        | 1/8 [00:00<00:00, 130.17it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  12%|█▎        | 1/8 [00:00<00:00, 126.27it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  25%|██▌       | 2/8 [00:00<00:00, 126.67it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  25%|██▌       | 2/8 [00:00<00:00, 124.80it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  38%|███▊      | 3/8 [00:00<00:00, 127.18it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  38%|███▊      | 3/8 [00:00<00:00, 126.03it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  50%|█████     | 4/8 [00:00<00:00, 127.31it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  50%|█████     | 4/8 [00:00<00:00, 126.47it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  62%|██████▎   | 5/8 [00:00<00:00, 127.68it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  62%|██████▎   | 5/8 [00:00<00:00, 127.02it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  75%|███████▌  | 6/8 [00:00<00:00, 127.96it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  75%|███████▌  | 6/8 [00:00<00:00, 127.40it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  88%|████████▊ | 7/8 [00:00<00:00, 126.45it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11:  88%|████████▊ | 7/8 [00:00<00:00, 125.98it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 127.33it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 126.87it/s, v_num=odal, val_loss=3.860, train_loss=1.420]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 108.10it/s, v_num=odal, val_loss=3.320, train_loss=1.420]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 107.34it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 11:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  12%|█▎        | 1/8 [00:00<00:00, 128.28it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  12%|█▎        | 1/8 [00:00<00:00, 125.00it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  25%|██▌       | 2/8 [00:00<00:00, 128.84it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  25%|██▌       | 2/8 [00:00<00:00, 126.99it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  38%|███▊      | 3/8 [00:00<00:00, 128.09it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  38%|███▊      | 3/8 [00:00<00:00, 126.93it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  50%|█████     | 4/8 [00:00<00:00, 128.25it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  50%|█████     | 4/8 [00:00<00:00, 127.41it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  62%|██████▎   | 5/8 [00:00<00:00, 126.11it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  62%|██████▎   | 5/8 [00:00<00:00, 125.39it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  75%|███████▌  | 6/8 [00:00<00:00, 126.01it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  75%|███████▌  | 6/8 [00:00<00:00, 125.41it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  88%|████████▊ | 7/8 [00:00<00:00, 125.70it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12:  88%|████████▊ | 7/8 [00:00<00:00, 125.19it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 126.47it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 126.06it/s, v_num=odal, val_loss=3.320, train_loss=1.270]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 107.18it/s, v_num=odal, val_loss=3.290, train_loss=1.270]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 106.41it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 12:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  12%|█▎        | 1/8 [00:00<00:00, 127.00it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  12%|█▎        | 1/8 [00:00<00:00, 123.45it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  25%|██▌       | 2/8 [00:00<00:00, 127.31it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  25%|██▌       | 2/8 [00:00<00:00, 125.50it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  38%|███▊      | 3/8 [00:00<00:00, 127.23it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  38%|███▊      | 3/8 [00:00<00:00, 126.13it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  50%|█████     | 4/8 [00:00<00:00, 126.38it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  50%|█████     | 4/8 [00:00<00:00, 125.55it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  62%|██████▎   | 5/8 [00:00<00:00, 126.70it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  62%|██████▎   | 5/8 [00:00<00:00, 126.05it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  75%|███████▌  | 6/8 [00:00<00:00, 127.06it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  75%|███████▌  | 6/8 [00:00<00:00, 126.51it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  88%|████████▊ | 7/8 [00:00<00:00, 127.61it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13:  88%|████████▊ | 7/8 [00:00<00:00, 127.10it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 128.72it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 128.30it/s, v_num=odal, val_loss=3.290, train_loss=1.250]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 109.22it/s, v_num=odal, val_loss=3.270, train_loss=1.250]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 108.44it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 13:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  12%|█▎        | 1/8 [00:00<00:00, 124.39it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  12%|█▎        | 1/8 [00:00<00:00, 121.28it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  25%|██▌       | 2/8 [00:00<00:00, 125.92it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  25%|██▌       | 2/8 [00:00<00:00, 124.25it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  38%|███▊      | 3/8 [00:00<00:00, 126.82it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  38%|███▊      | 3/8 [00:00<00:00, 125.75it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  50%|█████     | 4/8 [00:00<00:00, 127.68it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  50%|█████     | 4/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  62%|██████▎   | 5/8 [00:00<00:00, 127.38it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  62%|██████▎   | 5/8 [00:00<00:00, 126.73it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  75%|███████▌  | 6/8 [00:00<00:00, 127.58it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  75%|███████▌  | 6/8 [00:00<00:00, 127.02it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  88%|████████▊ | 7/8 [00:00<00:00, 127.59it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14:  88%|████████▊ | 7/8 [00:00<00:00, 127.11it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 128.82it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 128.39it/s, v_num=odal, val_loss=3.270, train_loss=1.120]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 109.37it/s, v_num=odal, val_loss=3.590, train_loss=1.120]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 108.56it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 14:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  12%|█▎        | 1/8 [00:00<00:00, 125.32it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  12%|█▎        | 1/8 [00:00<00:00, 121.85it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  25%|██▌       | 2/8 [00:00<00:00, 126.33it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  25%|██▌       | 2/8 [00:00<00:00, 124.70it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  38%|███▊      | 3/8 [00:00<00:00, 127.21it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  38%|███▊      | 3/8 [00:00<00:00, 126.11it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  50%|█████     | 4/8 [00:00<00:00, 127.97it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  50%|█████     | 4/8 [00:00<00:00, 127.06it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  62%|██████▎   | 5/8 [00:00<00:00, 127.81it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  62%|██████▎   | 5/8 [00:00<00:00, 127.08it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  75%|███████▌  | 6/8 [00:00<00:00, 127.38it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  75%|███████▌  | 6/8 [00:00<00:00, 126.78it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  88%|████████▊ | 7/8 [00:00<00:00, 127.39it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15:  88%|████████▊ | 7/8 [00:00<00:00, 126.91it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 128.09it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 127.68it/s, v_num=odal, val_loss=3.590, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 108.81it/s, v_num=odal, val_loss=3.070, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 108.03it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 15:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  12%|█▎        | 1/8 [00:00<00:00, 131.12it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  12%|█▎        | 1/8 [00:00<00:00, 127.66it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  25%|██▌       | 2/8 [00:00<00:00, 128.76it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  25%|██▌       | 2/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  38%|███▊      | 3/8 [00:00<00:00, 128.92it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  38%|███▊      | 3/8 [00:00<00:00, 127.81it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  50%|█████     | 4/8 [00:00<00:00, 128.80it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  50%|█████     | 4/8 [00:00<00:00, 127.95it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  62%|██████▎   | 5/8 [00:00<00:00, 128.65it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  62%|██████▎   | 5/8 [00:00<00:00, 127.98it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  75%|███████▌  | 6/8 [00:00<00:00, 128.40it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  75%|███████▌  | 6/8 [00:00<00:00, 127.85it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  88%|████████▊ | 7/8 [00:00<00:00, 126.45it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16:  88%|████████▊ | 7/8 [00:00<00:00, 125.98it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 127.40it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 126.98it/s, v_num=odal, val_loss=3.070, train_loss=0.905]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 108.16it/s, v_num=odal, val_loss=3.230, train_loss=0.905]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 107.40it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 16:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  12%|█▎        | 1/8 [00:00<00:00, 129.74it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  12%|█▎        | 1/8 [00:00<00:00, 126.40it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  25%|██▌       | 2/8 [00:00<00:00, 130.25it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  25%|██▌       | 2/8 [00:00<00:00, 128.37it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  38%|███▊      | 3/8 [00:00<00:00, 128.83it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  38%|███▊      | 3/8 [00:00<00:00, 127.67it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  50%|█████     | 4/8 [00:00<00:00, 128.82it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  50%|█████     | 4/8 [00:00<00:00, 127.98it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  62%|██████▎   | 5/8 [00:00<00:00, 128.45it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  62%|██████▎   | 5/8 [00:00<00:00, 127.79it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  75%|███████▌  | 6/8 [00:00<00:00, 128.18it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  75%|███████▌  | 6/8 [00:00<00:00, 127.62it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  88%|████████▊ | 7/8 [00:00<00:00, 128.42it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17:  88%|████████▊ | 7/8 [00:00<00:00, 127.90it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 128.62it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 128.17it/s, v_num=odal, val_loss=3.230, train_loss=0.717]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 109.16it/s, v_num=odal, val_loss=3.060, train_loss=0.717]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 108.35it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 17:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  12%|█▎        | 1/8 [00:00<00:00, 129.81it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  12%|█▎        | 1/8 [00:00<00:00, 126.50it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  25%|██▌       | 2/8 [00:00<00:00, 129.23it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  25%|██▌       | 2/8 [00:00<00:00, 127.56it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  38%|███▊      | 3/8 [00:00<00:00, 129.45it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  38%|███▊      | 3/8 [00:00<00:00, 128.31it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  50%|█████     | 4/8 [00:00<00:00, 128.63it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  50%|█████     | 4/8 [00:00<00:00, 127.76it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  62%|██████▎   | 5/8 [00:00<00:00, 127.93it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  62%|██████▎   | 5/8 [00:00<00:00, 127.26it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  75%|███████▌  | 6/8 [00:00<00:00, 128.05it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  75%|███████▌  | 6/8 [00:00<00:00, 127.44it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  88%|████████▊ | 7/8 [00:00<00:00, 127.92it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18:  88%|████████▊ | 7/8 [00:00<00:00, 127.44it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 129.27it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 128.80it/s, v_num=odal, val_loss=3.060, train_loss=0.640]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 109.55it/s, v_num=odal, val_loss=2.860, train_loss=0.640]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 108.72it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 18:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  12%|█▎        | 1/8 [00:00<00:00, 121.55it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  12%|█▎        | 1/8 [00:00<00:00, 118.57it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  25%|██▌       | 2/8 [00:00<00:00, 124.87it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  25%|██▌       | 2/8 [00:00<00:00, 123.31it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  38%|███▊      | 3/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  38%|███▊      | 3/8 [00:00<00:00, 125.33it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  50%|█████     | 4/8 [00:00<00:00, 126.89it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  50%|█████     | 4/8 [00:00<00:00, 126.07it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  62%|██████▎   | 5/8 [00:00<00:00, 126.21it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  62%|██████▎   | 5/8 [00:00<00:00, 125.56it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  75%|███████▌  | 6/8 [00:00<00:00, 126.64it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  75%|███████▌  | 6/8 [00:00<00:00, 126.10it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  88%|████████▊ | 7/8 [00:00<00:00, 126.72it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19:  88%|████████▊ | 7/8 [00:00<00:00, 126.25it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 128.04it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 127.63it/s, v_num=odal, val_loss=2.860, train_loss=0.659]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 108.71it/s, v_num=odal, val_loss=3.310, train_loss=0.659]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 107.88it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 19:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  12%|█▎        | 1/8 [00:00<00:00, 125.97it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  12%|█▎        | 1/8 [00:00<00:00, 122.38it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  25%|██▌       | 2/8 [00:00<00:00, 127.38it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  25%|██▌       | 2/8 [00:00<00:00, 125.73it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  38%|███▊      | 3/8 [00:00<00:00, 127.37it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  38%|███▊      | 3/8 [00:00<00:00, 126.27it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  50%|█████     | 4/8 [00:00<00:00, 127.59it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  50%|█████     | 4/8 [00:00<00:00, 126.76it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  62%|██████▎   | 5/8 [00:00<00:00, 128.34it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  62%|██████▎   | 5/8 [00:00<00:00, 127.55it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  75%|███████▌  | 6/8 [00:00<00:00, 128.10it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  75%|███████▌  | 6/8 [00:00<00:00, 127.51it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  88%|████████▊ | 7/8 [00:00<00:00, 128.45it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20:  88%|████████▊ | 7/8 [00:00<00:00, 127.97it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 129.65it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 129.22it/s, v_num=odal, val_loss=3.310, train_loss=0.620]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 109.94it/s, v_num=odal, val_loss=3.580, train_loss=0.620]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 109.11it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 20:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  12%|█▎        | 1/8 [00:00<00:00, 129.25it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  12%|█▎        | 1/8 [00:00<00:00, 125.94it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  25%|██▌       | 2/8 [00:00<00:00, 126.83it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  25%|██▌       | 2/8 [00:00<00:00, 125.13it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  38%|███▊      | 3/8 [00:00<00:00, 127.18it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  38%|███▊      | 3/8 [00:00<00:00, 126.08it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  50%|█████     | 4/8 [00:00<00:00, 127.17it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  50%|█████     | 4/8 [00:00<00:00, 126.34it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  62%|██████▎   | 5/8 [00:00<00:00, 127.87it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  62%|██████▎   | 5/8 [00:00<00:00, 127.13it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  75%|███████▌  | 6/8 [00:00<00:00, 128.03it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  75%|███████▌  | 6/8 [00:00<00:00, 127.47it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  88%|████████▊ | 7/8 [00:00<00:00, 127.24it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21:  88%|████████▊ | 7/8 [00:00<00:00, 126.73it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 128.34it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 127.92it/s, v_num=odal, val_loss=3.580, train_loss=0.523]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 109.04it/s, v_num=odal, val_loss=3.350, train_loss=0.523]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 108.26it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 21:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  12%|█▎        | 1/8 [00:00<00:00, 129.58it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  12%|█▎        | 1/8 [00:00<00:00, 125.95it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  25%|██▌       | 2/8 [00:00<00:00, 125.89it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  25%|██▌       | 2/8 [00:00<00:00, 124.31it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  38%|███▊      | 3/8 [00:00<00:00, 125.28it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  38%|███▊      | 3/8 [00:00<00:00, 124.21it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  50%|█████     | 4/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  50%|█████     | 4/8 [00:00<00:00, 124.46it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  62%|██████▎   | 5/8 [00:00<00:00, 126.38it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  62%|██████▎   | 5/8 [00:00<00:00, 125.66it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  75%|███████▌  | 6/8 [00:00<00:00, 127.04it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  75%|███████▌  | 6/8 [00:00<00:00, 126.49it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  88%|████████▊ | 7/8 [00:00<00:00, 126.97it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22:  88%|████████▊ | 7/8 [00:00<00:00, 126.50it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 128.03it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 127.56it/s, v_num=odal, val_loss=3.350, train_loss=0.587]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 108.84it/s, v_num=odal, val_loss=3.020, train_loss=0.587]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 108.04it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 22:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  12%|█▎        | 1/8 [00:00<00:00, 129.81it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  12%|█▎        | 1/8 [00:00<00:00, 126.44it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  25%|██▌       | 2/8 [00:00<00:00, 129.22it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  25%|██▌       | 2/8 [00:00<00:00, 127.43it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  38%|███▊      | 3/8 [00:00<00:00, 129.19it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  38%|███▊      | 3/8 [00:00<00:00, 128.06it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  50%|█████     | 4/8 [00:00<00:00, 129.65it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  50%|█████     | 4/8 [00:00<00:00, 128.79it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  62%|██████▎   | 5/8 [00:00<00:00, 128.60it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  62%|██████▎   | 5/8 [00:00<00:00, 127.94it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  75%|███████▌  | 6/8 [00:00<00:00, 128.64it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  75%|███████▌  | 6/8 [00:00<00:00, 128.07it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  88%|████████▊ | 7/8 [00:00<00:00, 128.82it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23:  88%|████████▊ | 7/8 [00:00<00:00, 128.33it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 129.96it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 129.54it/s, v_num=odal, val_loss=3.020, train_loss=0.593]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 110.10it/s, v_num=odal, val_loss=3.420, train_loss=0.593]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 109.28it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 23:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  12%|█▎        | 1/8 [00:00<00:00, 123.86it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  12%|█▎        | 1/8 [00:00<00:00, 120.81it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  25%|██▌       | 2/8 [00:00<00:00, 124.10it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  25%|██▌       | 2/8 [00:00<00:00, 122.55it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  38%|███▊      | 3/8 [00:00<00:00, 125.64it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  38%|███▊      | 3/8 [00:00<00:00, 124.57it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  50%|█████     | 4/8 [00:00<00:00, 126.10it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  50%|█████     | 4/8 [00:00<00:00, 125.28it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  62%|██████▎   | 5/8 [00:00<00:00, 126.46it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  62%|██████▎   | 5/8 [00:00<00:00, 125.81it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  75%|███████▌  | 6/8 [00:00<00:00, 125.71it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  75%|███████▌  | 6/8 [00:00<00:00, 125.16it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  88%|████████▊ | 7/8 [00:00<00:00, 125.95it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24:  88%|████████▊ | 7/8 [00:00<00:00, 125.48it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 127.60it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 127.19it/s, v_num=odal, val_loss=3.420, train_loss=0.533]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 108.51it/s, v_num=odal, val_loss=3.030, train_loss=0.533]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 107.72it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 24:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  12%|█▎        | 1/8 [00:00<00:00, 125.17it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  12%|█▎        | 1/8 [00:00<00:00, 122.07it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  25%|██▌       | 2/8 [00:00<00:00, 127.16it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  25%|██▌       | 2/8 [00:00<00:00, 125.49it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  38%|███▊      | 3/8 [00:00<00:00, 126.01it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  38%|███▊      | 3/8 [00:00<00:00, 124.95it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  50%|█████     | 4/8 [00:00<00:00, 126.32it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  50%|█████     | 4/8 [00:00<00:00, 125.52it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  62%|██████▎   | 5/8 [00:00<00:00, 126.57it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  62%|██████▎   | 5/8 [00:00<00:00, 125.91it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  75%|███████▌  | 6/8 [00:00<00:00, 127.00it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  75%|███████▌  | 6/8 [00:00<00:00, 126.41it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  88%|████████▊ | 7/8 [00:00<00:00, 126.39it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25:  88%|████████▊ | 7/8 [00:00<00:00, 125.86it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 127.72it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 127.31it/s, v_num=odal, val_loss=3.030, train_loss=0.584]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 108.02it/s, v_num=odal, val_loss=3.430, train_loss=0.584]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 107.23it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 25:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  12%|█▎        | 1/8 [00:00<00:00, 123.27it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  12%|█▎        | 1/8 [00:00<00:00, 119.77it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  25%|██▌       | 2/8 [00:00<00:00, 125.75it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  25%|██▌       | 2/8 [00:00<00:00, 124.13it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  38%|███▊      | 3/8 [00:00<00:00, 126.71it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  38%|███▊      | 3/8 [00:00<00:00, 125.63it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  50%|█████     | 4/8 [00:00<00:00, 126.13it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  50%|█████     | 4/8 [00:00<00:00, 125.32it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  62%|██████▎   | 5/8 [00:00<00:00, 126.57it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  62%|██████▎   | 5/8 [00:00<00:00, 125.92it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  75%|███████▌  | 6/8 [00:00<00:00, 126.99it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  75%|███████▌  | 6/8 [00:00<00:00, 126.39it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  88%|████████▊ | 7/8 [00:00<00:00, 127.19it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26:  88%|████████▊ | 7/8 [00:00<00:00, 126.72it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 127.78it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=3.430, train_loss=0.529]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 108.74it/s, v_num=odal, val_loss=3.260, train_loss=0.529]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 107.97it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 26:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  12%|█▎        | 1/8 [00:00<00:00, 128.70it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  12%|█▎        | 1/8 [00:00<00:00, 125.47it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  25%|██▌       | 2/8 [00:00<00:00, 129.71it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  25%|██▌       | 2/8 [00:00<00:00, 127.83it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  38%|███▊      | 3/8 [00:00<00:00, 129.58it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  38%|███▊      | 3/8 [00:00<00:00, 128.45it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  50%|█████     | 4/8 [00:00<00:00, 128.35it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  50%|█████     | 4/8 [00:00<00:00, 127.50it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  62%|██████▎   | 5/8 [00:00<00:00, 126.93it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  62%|██████▎   | 5/8 [00:00<00:00, 126.27it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  75%|███████▌  | 6/8 [00:00<00:00, 127.20it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  75%|███████▌  | 6/8 [00:00<00:00, 126.65it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  88%|████████▊ | 7/8 [00:00<00:00, 127.25it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27:  88%|████████▊ | 7/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 128.19it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 127.78it/s, v_num=odal, val_loss=3.260, train_loss=0.634]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 108.57it/s, v_num=odal, val_loss=2.760, train_loss=0.634]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 107.80it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 27:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  12%|█▎        | 1/8 [00:00<00:00, 122.27it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  12%|█▎        | 1/8 [00:00<00:00, 119.31it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  25%|██▌       | 2/8 [00:00<00:00, 122.70it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  25%|██▌       | 2/8 [00:00<00:00, 121.18it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  38%|███▊      | 3/8 [00:00<00:00, 123.96it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  38%|███▊      | 3/8 [00:00<00:00, 122.92it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  50%|█████     | 4/8 [00:00<00:00, 124.70it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  50%|█████     | 4/8 [00:00<00:00, 123.87it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  62%|██████▎   | 5/8 [00:00<00:00, 125.46it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  62%|██████▎   | 5/8 [00:00<00:00, 124.82it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  75%|███████▌  | 6/8 [00:00<00:00, 124.71it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  75%|███████▌  | 6/8 [00:00<00:00, 124.16it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  88%|████████▊ | 7/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28:  88%|████████▊ | 7/8 [00:00<00:00, 124.80it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 126.56it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 125.93it/s, v_num=odal, val_loss=2.760, train_loss=0.558]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 107.18it/s, v_num=odal, val_loss=3.050, train_loss=0.558]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 106.39it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 28:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  12%|█▎        | 1/8 [00:00<00:00, 126.08it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  12%|█▎        | 1/8 [00:00<00:00, 122.62it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  25%|██▌       | 2/8 [00:00<00:00, 127.21it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  25%|██▌       | 2/8 [00:00<00:00, 125.55it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  38%|███▊      | 3/8 [00:00<00:00, 127.07it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  38%|███▊      | 3/8 [00:00<00:00, 125.98it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  50%|█████     | 4/8 [00:00<00:00, 127.42it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  50%|█████     | 4/8 [00:00<00:00, 126.61it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  62%|██████▎   | 5/8 [00:00<00:00, 127.69it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  62%|██████▎   | 5/8 [00:00<00:00, 127.04it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  75%|███████▌  | 6/8 [00:00<00:00, 127.89it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  75%|███████▌  | 6/8 [00:00<00:00, 127.26it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  88%|████████▊ | 7/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29:  88%|████████▊ | 7/8 [00:00<00:00, 126.05it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 127.97it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 127.56it/s, v_num=odal, val_loss=3.050, train_loss=0.565]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 108.52it/s, v_num=odal, val_loss=3.030, train_loss=0.565]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 107.72it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 29:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  12%|█▎        | 1/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  12%|█▎        | 1/8 [00:00<00:00, 123.44it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  25%|██▌       | 2/8 [00:00<00:00, 126.17it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  25%|██▌       | 2/8 [00:00<00:00, 124.45it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  38%|███▊      | 3/8 [00:00<00:00, 125.99it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  38%|███▊      | 3/8 [00:00<00:00, 124.90it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  50%|█████     | 4/8 [00:00<00:00, 125.70it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  50%|█████     | 4/8 [00:00<00:00, 124.90it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  62%|██████▎   | 5/8 [00:00<00:00, 125.79it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  62%|██████▎   | 5/8 [00:00<00:00, 125.14it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  75%|███████▌  | 6/8 [00:00<00:00, 125.87it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  75%|███████▌  | 6/8 [00:00<00:00, 125.33it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  88%|████████▊ | 7/8 [00:00<00:00, 126.22it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30:  88%|████████▊ | 7/8 [00:00<00:00, 125.76it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 126.88it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 126.41it/s, v_num=odal, val_loss=3.030, train_loss=0.469]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 107.58it/s, v_num=odal, val_loss=3.000, train_loss=0.469]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 106.83it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 30:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  12%|█▎        | 1/8 [00:00<00:00, 125.70it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  12%|█▎        | 1/8 [00:00<00:00, 121.73it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  25%|██▌       | 2/8 [00:00<00:00, 124.45it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  25%|██▌       | 2/8 [00:00<00:00, 122.78it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  38%|███▊      | 3/8 [00:00<00:00, 125.16it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  38%|███▊      | 3/8 [00:00<00:00, 124.10it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  50%|█████     | 4/8 [00:00<00:00, 125.72it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  50%|█████     | 4/8 [00:00<00:00, 124.92it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  62%|██████▎   | 5/8 [00:00<00:00, 125.14it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  62%|██████▎   | 5/8 [00:00<00:00, 124.49it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  75%|███████▌  | 6/8 [00:00<00:00, 125.35it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  75%|███████▌  | 6/8 [00:00<00:00, 124.55it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  88%|████████▊ | 7/8 [00:00<00:00, 125.12it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31:  88%|████████▊ | 7/8 [00:00<00:00, 124.60it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 126.01it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 125.60it/s, v_num=odal, val_loss=3.000, train_loss=0.447]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 106.41it/s, v_num=odal, val_loss=3.420, train_loss=0.447]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 105.63it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 31:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  12%|█▎        | 1/8 [00:00<00:00, 120.92it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  12%|█▎        | 1/8 [00:00<00:00, 117.75it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  25%|██▌       | 2/8 [00:00<00:00, 124.27it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  25%|██▌       | 2/8 [00:00<00:00, 122.59it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  38%|███▊      | 3/8 [00:00<00:00, 125.56it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  38%|███▊      | 3/8 [00:00<00:00, 124.49it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  50%|█████     | 4/8 [00:00<00:00, 126.67it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  50%|█████     | 4/8 [00:00<00:00, 125.86it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  62%|██████▎   | 5/8 [00:00<00:00, 126.98it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  62%|██████▎   | 5/8 [00:00<00:00, 126.32it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  75%|███████▌  | 6/8 [00:00<00:00, 126.07it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  75%|███████▌  | 6/8 [00:00<00:00, 125.50it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  88%|████████▊ | 7/8 [00:00<00:00, 126.70it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32:  88%|████████▊ | 7/8 [00:00<00:00, 126.19it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32: 100%|██████████| 8/8 [00:00<00:00, 128.25it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32: 100%|██████████| 8/8 [00:00<00:00, 127.83it/s, v_num=odal, val_loss=3.420, train_loss=0.470]
Epoch 32: 100%|██████████| 8/8 [00:00<00:00, 108.78it/s, v_num=odal, val_loss=2.950, train_loss=0.470]
Epoch 32: 100%|██████████| 8/8 [00:00<00:00, 107.94it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 32:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  12%|█▎        | 1/8 [00:00<00:00, 127.49it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  12%|█▎        | 1/8 [00:00<00:00, 124.30it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  25%|██▌       | 2/8 [00:00<00:00, 128.17it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  25%|██▌       | 2/8 [00:00<00:00, 126.36it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  38%|███▊      | 3/8 [00:00<00:00, 128.08it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  38%|███▊      | 3/8 [00:00<00:00, 126.87it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  50%|█████     | 4/8 [00:00<00:00, 128.33it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  50%|█████     | 4/8 [00:00<00:00, 127.49it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  62%|██████▎   | 5/8 [00:00<00:00, 128.31it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  62%|██████▎   | 5/8 [00:00<00:00, 127.63it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  75%|███████▌  | 6/8 [00:00<00:00, 128.22it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  75%|███████▌  | 6/8 [00:00<00:00, 127.67it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  88%|████████▊ | 7/8 [00:00<00:00, 127.46it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33:  88%|████████▊ | 7/8 [00:00<00:00, 126.94it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33: 100%|██████████| 8/8 [00:00<00:00, 128.48it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33: 100%|██████████| 8/8 [00:00<00:00, 128.07it/s, v_num=odal, val_loss=2.950, train_loss=0.602]
Epoch 33: 100%|██████████| 8/8 [00:00<00:00, 108.94it/s, v_num=odal, val_loss=2.890, train_loss=0.602]
Epoch 33: 100%|██████████| 8/8 [00:00<00:00, 108.10it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 33:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  12%|█▎        | 1/8 [00:00<00:00, 126.23it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  12%|█▎        | 1/8 [00:00<00:00, 122.73it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  25%|██▌       | 2/8 [00:00<00:00, 127.57it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  25%|██▌       | 2/8 [00:00<00:00, 125.90it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  38%|███▊      | 3/8 [00:00<00:00, 127.84it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  38%|███▊      | 3/8 [00:00<00:00, 126.74it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  50%|█████     | 4/8 [00:00<00:00, 127.17it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  50%|█████     | 4/8 [00:00<00:00, 126.35it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  62%|██████▎   | 5/8 [00:00<00:00, 127.30it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  62%|██████▎   | 5/8 [00:00<00:00, 126.62it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  75%|███████▌  | 6/8 [00:00<00:00, 127.81it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  75%|███████▌  | 6/8 [00:00<00:00, 127.21it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  88%|████████▊ | 7/8 [00:00<00:00, 127.87it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34:  88%|████████▊ | 7/8 [00:00<00:00, 127.36it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34: 100%|██████████| 8/8 [00:00<00:00, 128.36it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34: 100%|██████████| 8/8 [00:00<00:00, 127.93it/s, v_num=odal, val_loss=2.890, train_loss=0.503]
Epoch 34: 100%|██████████| 8/8 [00:00<00:00, 108.76it/s, v_num=odal, val_loss=2.850, train_loss=0.503]
Epoch 34: 100%|██████████| 8/8 [00:00<00:00, 107.97it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 34:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  12%|█▎        | 1/8 [00:00<00:00, 128.37it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  12%|█▎        | 1/8 [00:00<00:00, 125.10it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  25%|██▌       | 2/8 [00:00<00:00, 128.68it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  25%|██▌       | 2/8 [00:00<00:00, 126.91it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  38%|███▊      | 3/8 [00:00<00:00, 129.40it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  38%|███▊      | 3/8 [00:00<00:00, 128.16it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  50%|█████     | 4/8 [00:00<00:00, 129.34it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  50%|█████     | 4/8 [00:00<00:00, 128.48it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  62%|██████▎   | 5/8 [00:00<00:00, 128.13it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  62%|██████▎   | 5/8 [00:00<00:00, 127.45it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  75%|███████▌  | 6/8 [00:00<00:00, 128.07it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  75%|███████▌  | 6/8 [00:00<00:00, 127.51it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  88%|████████▊ | 7/8 [00:00<00:00, 128.23it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35:  88%|████████▊ | 7/8 [00:00<00:00, 127.74it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35: 100%|██████████| 8/8 [00:00<00:00, 129.52it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35: 100%|██████████| 8/8 [00:00<00:00, 129.09it/s, v_num=odal, val_loss=2.850, train_loss=0.657]
Epoch 35: 100%|██████████| 8/8 [00:00<00:00, 109.54it/s, v_num=odal, val_loss=2.770, train_loss=0.657]
Epoch 35: 100%|██████████| 8/8 [00:00<00:00, 108.70it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 35:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  12%|█▎        | 1/8 [00:00<00:00, 124.06it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  12%|█▎        | 1/8 [00:00<00:00, 120.71it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  25%|██▌       | 2/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  25%|██▌       | 2/8 [00:00<00:00, 124.94it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  38%|███▊      | 3/8 [00:00<00:00, 127.13it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  38%|███▊      | 3/8 [00:00<00:00, 126.02it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  50%|█████     | 4/8 [00:00<00:00, 126.96it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  50%|█████     | 4/8 [00:00<00:00, 126.09it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  62%|██████▎   | 5/8 [00:00<00:00, 127.25it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  62%|██████▎   | 5/8 [00:00<00:00, 126.59it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  75%|███████▌  | 6/8 [00:00<00:00, 126.71it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  75%|███████▌  | 6/8 [00:00<00:00, 126.15it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  88%|████████▊ | 7/8 [00:00<00:00, 127.23it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36:  88%|████████▊ | 7/8 [00:00<00:00, 126.70it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36: 100%|██████████| 8/8 [00:00<00:00, 127.84it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36: 100%|██████████| 8/8 [00:00<00:00, 127.43it/s, v_num=odal, val_loss=2.770, train_loss=0.716]
Epoch 36: 100%|██████████| 8/8 [00:00<00:00, 108.64it/s, v_num=odal, val_loss=2.810, train_loss=0.716]
Epoch 36: 100%|██████████| 8/8 [00:00<00:00, 107.81it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 36:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  12%|█▎        | 1/8 [00:00<00:00, 124.32it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  12%|█▎        | 1/8 [00:00<00:00, 121.20it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  25%|██▌       | 2/8 [00:00<00:00, 126.50it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  25%|██▌       | 2/8 [00:00<00:00, 124.91it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  38%|███▊      | 3/8 [00:00<00:00, 125.83it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  38%|███▊      | 3/8 [00:00<00:00, 124.76it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  50%|█████     | 4/8 [00:00<00:00, 126.46it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  50%|█████     | 4/8 [00:00<00:00, 125.60it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  62%|██████▎   | 5/8 [00:00<00:00, 126.32it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  62%|██████▎   | 5/8 [00:00<00:00, 125.34it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  75%|███████▌  | 6/8 [00:00<00:00, 126.22it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  75%|███████▌  | 6/8 [00:00<00:00, 125.68it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  88%|████████▊ | 7/8 [00:00<00:00, 125.94it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37:  88%|████████▊ | 7/8 [00:00<00:00, 125.46it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37: 100%|██████████| 8/8 [00:00<00:00, 127.39it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37: 100%|██████████| 8/8 [00:00<00:00, 126.99it/s, v_num=odal, val_loss=2.810, train_loss=0.435]
Epoch 37: 100%|██████████| 8/8 [00:00<00:00, 108.31it/s, v_num=odal, val_loss=2.750, train_loss=0.435]
Epoch 37: 100%|██████████| 8/8 [00:00<00:00, 107.53it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 37:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  12%|█▎        | 1/8 [00:00<00:00, 129.12it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  12%|█▎        | 1/8 [00:00<00:00, 125.81it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  25%|██▌       | 2/8 [00:00<00:00, 128.35it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  25%|██▌       | 2/8 [00:00<00:00, 126.69it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  38%|███▊      | 3/8 [00:00<00:00, 128.28it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  38%|███▊      | 3/8 [00:00<00:00, 127.16it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  50%|█████     | 4/8 [00:00<00:00, 126.98it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  50%|█████     | 4/8 [00:00<00:00, 126.15it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  62%|██████▎   | 5/8 [00:00<00:00, 125.74it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  62%|██████▎   | 5/8 [00:00<00:00, 125.10it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  75%|███████▌  | 6/8 [00:00<00:00, 125.43it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  75%|███████▌  | 6/8 [00:00<00:00, 124.89it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  88%|████████▊ | 7/8 [00:00<00:00, 125.81it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38:  88%|████████▊ | 7/8 [00:00<00:00, 125.34it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38: 100%|██████████| 8/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38: 100%|██████████| 8/8 [00:00<00:00, 126.42it/s, v_num=odal, val_loss=2.750, train_loss=0.565]
Epoch 38: 100%|██████████| 8/8 [00:00<00:00, 107.93it/s, v_num=odal, val_loss=2.810, train_loss=0.565]
Epoch 38: 100%|██████████| 8/8 [00:00<00:00, 107.14it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 38:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  12%|█▎        | 1/8 [00:00<00:00, 128.02it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  12%|█▎        | 1/8 [00:00<00:00, 124.78it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  25%|██▌       | 2/8 [00:00<00:00, 128.48it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  25%|██▌       | 2/8 [00:00<00:00, 126.40it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  38%|███▊      | 3/8 [00:00<00:00, 124.87it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  38%|███▊      | 3/8 [00:00<00:00, 123.68it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  50%|█████     | 4/8 [00:00<00:00, 125.29it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  50%|█████     | 4/8 [00:00<00:00, 124.49it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  62%|██████▎   | 5/8 [00:00<00:00, 124.97it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  62%|██████▎   | 5/8 [00:00<00:00, 124.27it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  75%|███████▌  | 6/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  75%|███████▌  | 6/8 [00:00<00:00, 124.73it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  88%|████████▊ | 7/8 [00:00<00:00, 125.22it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39:  88%|████████▊ | 7/8 [00:00<00:00, 124.76it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39: 100%|██████████| 8/8 [00:00<00:00, 126.74it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39: 100%|██████████| 8/8 [00:00<00:00, 126.21it/s, v_num=odal, val_loss=2.810, train_loss=0.418]
Epoch 39: 100%|██████████| 8/8 [00:00<00:00, 107.42it/s, v_num=odal, val_loss=3.010, train_loss=0.418]
Epoch 39: 100%|██████████| 8/8 [00:00<00:00, 106.67it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 39:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  12%|█▎        | 1/8 [00:00<00:00, 121.58it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  12%|█▎        | 1/8 [00:00<00:00, 118.62it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  25%|██▌       | 2/8 [00:00<00:00, 126.36it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  25%|██▌       | 2/8 [00:00<00:00, 124.75it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  38%|███▊      | 3/8 [00:00<00:00, 127.66it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  38%|███▊      | 3/8 [00:00<00:00, 126.44it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  50%|█████     | 4/8 [00:00<00:00, 127.57it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  50%|█████     | 4/8 [00:00<00:00, 126.65it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  62%|██████▎   | 5/8 [00:00<00:00, 127.77it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  62%|██████▎   | 5/8 [00:00<00:00, 127.11it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  75%|███████▌  | 6/8 [00:00<00:00, 127.07it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  75%|███████▌  | 6/8 [00:00<00:00, 126.49it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  88%|████████▊ | 7/8 [00:00<00:00, 127.33it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40:  88%|████████▊ | 7/8 [00:00<00:00, 126.86it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40: 100%|██████████| 8/8 [00:00<00:00, 128.45it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40: 100%|██████████| 8/8 [00:00<00:00, 128.03it/s, v_num=odal, val_loss=3.010, train_loss=0.437]
Epoch 40: 100%|██████████| 8/8 [00:00<00:00, 108.89it/s, v_num=odal, val_loss=2.990, train_loss=0.437]
Epoch 40: 100%|██████████| 8/8 [00:00<00:00, 108.07it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 40:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  12%|█▎        | 1/8 [00:00<00:00, 129.13it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  12%|█▎        | 1/8 [00:00<00:00, 125.49it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  25%|██▌       | 2/8 [00:00<00:00, 127.57it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  25%|██▌       | 2/8 [00:00<00:00, 125.88it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  38%|███▊      | 3/8 [00:00<00:00, 125.57it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  38%|███▊      | 3/8 [00:00<00:00, 124.39it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  50%|█████     | 4/8 [00:00<00:00, 125.67it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  50%|█████     | 4/8 [00:00<00:00, 124.76it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  62%|██████▎   | 5/8 [00:00<00:00, 126.35it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  62%|██████▎   | 5/8 [00:00<00:00, 125.70it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  75%|███████▌  | 6/8 [00:00<00:00, 126.31it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  75%|███████▌  | 6/8 [00:00<00:00, 125.77it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  88%|████████▊ | 7/8 [00:00<00:00, 126.03it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41:  88%|████████▊ | 7/8 [00:00<00:00, 125.55it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41: 100%|██████████| 8/8 [00:00<00:00, 127.64it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41: 100%|██████████| 8/8 [00:00<00:00, 127.19it/s, v_num=odal, val_loss=2.990, train_loss=0.420]
Epoch 41: 100%|██████████| 8/8 [00:00<00:00, 108.33it/s, v_num=odal, val_loss=2.910, train_loss=0.420]
Epoch 41: 100%|██████████| 8/8 [00:00<00:00, 107.51it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 41:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  12%|█▎        | 1/8 [00:00<00:00, 128.44it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  12%|█▎        | 1/8 [00:00<00:00, 124.87it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  25%|██▌       | 2/8 [00:00<00:00, 128.22it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  25%|██▌       | 2/8 [00:00<00:00, 126.44it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  38%|███▊      | 3/8 [00:00<00:00, 128.57it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  38%|███▊      | 3/8 [00:00<00:00, 127.46it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  50%|█████     | 4/8 [00:00<00:00, 127.91it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  50%|█████     | 4/8 [00:00<00:00, 127.07it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  62%|██████▎   | 5/8 [00:00<00:00, 128.00it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  62%|██████▎   | 5/8 [00:00<00:00, 127.33it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  75%|███████▌  | 6/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  75%|███████▌  | 6/8 [00:00<00:00, 126.78it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  88%|████████▊ | 7/8 [00:00<00:00, 127.91it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42:  88%|████████▊ | 7/8 [00:00<00:00, 127.38it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42: 100%|██████████| 8/8 [00:00<00:00, 128.49it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42: 100%|██████████| 8/8 [00:00<00:00, 128.04it/s, v_num=odal, val_loss=2.910, train_loss=0.515]
Epoch 42: 100%|██████████| 8/8 [00:00<00:00, 108.94it/s, v_num=odal, val_loss=2.840, train_loss=0.515]
Epoch 42: 100%|██████████| 8/8 [00:00<00:00, 108.13it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 42:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  12%|█▎        | 1/8 [00:00<00:00, 131.01it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  12%|█▎        | 1/8 [00:00<00:00, 127.63it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  25%|██▌       | 2/8 [00:00<00:00, 131.29it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  25%|██▌       | 2/8 [00:00<00:00, 129.38it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  38%|███▊      | 3/8 [00:00<00:00, 130.66it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  38%|███▊      | 3/8 [00:00<00:00, 129.50it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  50%|█████     | 4/8 [00:00<00:00, 130.45it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  50%|█████     | 4/8 [00:00<00:00, 129.58it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  62%|██████▎   | 5/8 [00:00<00:00, 129.02it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  62%|██████▎   | 5/8 [00:00<00:00, 128.34it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  75%|███████▌  | 6/8 [00:00<00:00, 129.13it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  75%|███████▌  | 6/8 [00:00<00:00, 128.56it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  88%|████████▊ | 7/8 [00:00<00:00, 129.35it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43:  88%|████████▊ | 7/8 [00:00<00:00, 128.81it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43: 100%|██████████| 8/8 [00:00<00:00, 130.46it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43: 100%|██████████| 8/8 [00:00<00:00, 130.03it/s, v_num=odal, val_loss=2.840, train_loss=0.566]
Epoch 43: 100%|██████████| 8/8 [00:00<00:00, 110.41it/s, v_num=odal, val_loss=2.780, train_loss=0.566]
Epoch 43: 100%|██████████| 8/8 [00:00<00:00, 109.61it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 43:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  12%|█▎        | 1/8 [00:00<00:00, 122.45it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  12%|█▎        | 1/8 [00:00<00:00, 119.47it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  25%|██▌       | 2/8 [00:00<00:00, 124.77it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  25%|██▌       | 2/8 [00:00<00:00, 123.17it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  38%|███▊      | 3/8 [00:00<00:00, 126.49it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  38%|███▊      | 3/8 [00:00<00:00, 125.40it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  50%|█████     | 4/8 [00:00<00:00, 127.19it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  50%|█████     | 4/8 [00:00<00:00, 126.30it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  62%|██████▎   | 5/8 [00:00<00:00, 126.32it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  62%|██████▎   | 5/8 [00:00<00:00, 125.48it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  75%|███████▌  | 6/8 [00:00<00:00, 125.74it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  75%|███████▌  | 6/8 [00:00<00:00, 125.17it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  88%|████████▊ | 7/8 [00:00<00:00, 125.77it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44:  88%|████████▊ | 7/8 [00:00<00:00, 125.25it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44: 100%|██████████| 8/8 [00:00<00:00, 127.14it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44: 100%|██████████| 8/8 [00:00<00:00, 126.70it/s, v_num=odal, val_loss=2.780, train_loss=0.473]
Epoch 44: 100%|██████████| 8/8 [00:00<00:00, 107.64it/s, v_num=odal, val_loss=2.620, train_loss=0.473]
Epoch 44: 100%|██████████| 8/8 [00:00<00:00, 106.80it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 44:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  12%|█▎        | 1/8 [00:00<00:00, 121.62it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  12%|█▎        | 1/8 [00:00<00:00, 118.64it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  25%|██▌       | 2/8 [00:00<00:00, 123.57it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  25%|██▌       | 2/8 [00:00<00:00, 122.00it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  38%|███▊      | 3/8 [00:00<00:00, 121.35it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  38%|███▊      | 3/8 [00:00<00:00, 120.35it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  50%|█████     | 4/8 [00:00<00:00, 122.92it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  50%|█████     | 4/8 [00:00<00:00, 122.15it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  62%|██████▎   | 5/8 [00:00<00:00, 123.87it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  62%|██████▎   | 5/8 [00:00<00:00, 123.24it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  75%|███████▌  | 6/8 [00:00<00:00, 124.28it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  75%|███████▌  | 6/8 [00:00<00:00, 123.76it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  88%|████████▊ | 7/8 [00:00<00:00, 124.21it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45:  88%|████████▊ | 7/8 [00:00<00:00, 123.75it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45: 100%|██████████| 8/8 [00:00<00:00, 126.20it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45: 100%|██████████| 8/8 [00:00<00:00, 125.80it/s, v_num=odal, val_loss=2.620, train_loss=0.331]
Epoch 45: 100%|██████████| 8/8 [00:00<00:00, 107.32it/s, v_num=odal, val_loss=2.800, train_loss=0.331]
Epoch 45: 100%|██████████| 8/8 [00:00<00:00, 106.56it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 45:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  12%|█▎        | 1/8 [00:00<00:00, 129.89it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  12%|█▎        | 1/8 [00:00<00:00, 126.56it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  25%|██▌       | 2/8 [00:00<00:00, 130.88it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  25%|██▌       | 2/8 [00:00<00:00, 128.96it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  38%|███▊      | 3/8 [00:00<00:00, 129.90it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  38%|███▊      | 3/8 [00:00<00:00, 128.77it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  50%|█████     | 4/8 [00:00<00:00, 128.54it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  50%|█████     | 4/8 [00:00<00:00, 127.70it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  62%|██████▎   | 5/8 [00:00<00:00, 128.41it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  62%|██████▎   | 5/8 [00:00<00:00, 127.74it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  75%|███████▌  | 6/8 [00:00<00:00, 128.46it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  75%|███████▌  | 6/8 [00:00<00:00, 127.90it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  88%|████████▊ | 7/8 [00:00<00:00, 128.76it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46:  88%|████████▊ | 7/8 [00:00<00:00, 128.23it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46: 100%|██████████| 8/8 [00:00<00:00, 129.21it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46: 100%|██████████| 8/8 [00:00<00:00, 128.77it/s, v_num=odal, val_loss=2.800, train_loss=0.457]
Epoch 46: 100%|██████████| 8/8 [00:00<00:00, 109.73it/s, v_num=odal, val_loss=3.130, train_loss=0.457]
Epoch 46: 100%|██████████| 8/8 [00:00<00:00, 108.94it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 46:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  12%|█▎        | 1/8 [00:00<00:00, 128.50it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  12%|█▎        | 1/8 [00:00<00:00, 125.07it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  25%|██▌       | 2/8 [00:00<00:00, 127.57it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  25%|██▌       | 2/8 [00:00<00:00, 125.91it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  38%|███▊      | 3/8 [00:00<00:00, 127.65it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  38%|███▊      | 3/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  50%|█████     | 4/8 [00:00<00:00, 128.52it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  50%|█████     | 4/8 [00:00<00:00, 127.68it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  62%|██████▎   | 5/8 [00:00<00:00, 127.72it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  62%|██████▎   | 5/8 [00:00<00:00, 127.05it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  75%|███████▌  | 6/8 [00:00<00:00, 128.06it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  75%|███████▌  | 6/8 [00:00<00:00, 127.50it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  88%|████████▊ | 7/8 [00:00<00:00, 128.24it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47:  88%|████████▊ | 7/8 [00:00<00:00, 127.76it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47: 100%|██████████| 8/8 [00:00<00:00, 129.64it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47: 100%|██████████| 8/8 [00:00<00:00, 129.22it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47: 100%|██████████| 8/8 [00:00<00:00, 109.85it/s, v_num=odal, val_loss=3.130, train_loss=0.433]
Epoch 47: 100%|██████████| 8/8 [00:00<00:00, 109.07it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 47:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  12%|█▎        | 1/8 [00:00<00:00, 121.37it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  12%|█▎        | 1/8 [00:00<00:00, 117.97it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  25%|██▌       | 2/8 [00:00<00:00, 124.53it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  25%|██▌       | 2/8 [00:00<00:00, 122.96it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  38%|███▊      | 3/8 [00:00<00:00, 125.85it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  38%|███▊      | 3/8 [00:00<00:00, 124.73it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  50%|█████     | 4/8 [00:00<00:00, 126.46it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  50%|█████     | 4/8 [00:00<00:00, 125.64it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  62%|██████▎   | 5/8 [00:00<00:00, 126.83it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  62%|██████▎   | 5/8 [00:00<00:00, 126.10it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  75%|███████▌  | 6/8 [00:00<00:00, 126.54it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  75%|███████▌  | 6/8 [00:00<00:00, 125.91it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  88%|████████▊ | 7/8 [00:00<00:00, 126.88it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48:  88%|████████▊ | 7/8 [00:00<00:00, 126.41it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48: 100%|██████████| 8/8 [00:00<00:00, 128.46it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48: 100%|██████████| 8/8 [00:00<00:00, 127.99it/s, v_num=odal, val_loss=3.130, train_loss=0.494]
Epoch 48: 100%|██████████| 8/8 [00:00<00:00, 108.52it/s, v_num=odal, val_loss=2.950, train_loss=0.494]
Epoch 48: 100%|██████████| 8/8 [00:00<00:00, 107.73it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 48:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  12%|█▎        | 1/8 [00:00<00:00, 127.18it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  12%|█▎        | 1/8 [00:00<00:00, 123.96it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  25%|██▌       | 2/8 [00:00<00:00, 126.84it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  25%|██▌       | 2/8 [00:00<00:00, 125.18it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  38%|███▊      | 3/8 [00:00<00:00, 125.59it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  38%|███▊      | 3/8 [00:00<00:00, 124.51it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  50%|█████     | 4/8 [00:00<00:00, 126.84it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  50%|█████     | 4/8 [00:00<00:00, 125.90it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  62%|██████▎   | 5/8 [00:00<00:00, 127.14it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  62%|██████▎   | 5/8 [00:00<00:00, 126.48it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  75%|███████▌  | 6/8 [00:00<00:00, 127.15it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  75%|███████▌  | 6/8 [00:00<00:00, 126.61it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  88%|████████▊ | 7/8 [00:00<00:00, 126.60it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49:  88%|████████▊ | 7/8 [00:00<00:00, 126.11it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49: 100%|██████████| 8/8 [00:00<00:00, 127.70it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49: 100%|██████████| 8/8 [00:00<00:00, 127.29it/s, v_num=odal, val_loss=2.950, train_loss=0.495]
Epoch 49: 100%|██████████| 8/8 [00:00<00:00, 108.33it/s, v_num=odal, val_loss=2.790, train_loss=0.495]
Epoch 49: 100%|██████████| 8/8 [00:00<00:00, 107.56it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 49:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  12%|█▎        | 1/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  12%|█▎        | 1/8 [00:00<00:00, 124.07it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  25%|██▌       | 2/8 [00:00<00:00, 128.09it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  25%|██▌       | 2/8 [00:00<00:00, 126.44it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  38%|███▊      | 3/8 [00:00<00:00, 128.13it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  38%|███▊      | 3/8 [00:00<00:00, 126.91it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  50%|█████     | 4/8 [00:00<00:00, 127.46it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  50%|█████     | 4/8 [00:00<00:00, 126.62it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  62%|██████▎   | 5/8 [00:00<00:00, 127.40it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  62%|██████▎   | 5/8 [00:00<00:00, 126.72it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  75%|███████▌  | 6/8 [00:00<00:00, 127.41it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  75%|███████▌  | 6/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  88%|████████▊ | 7/8 [00:00<00:00, 127.65it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50:  88%|████████▊ | 7/8 [00:00<00:00, 127.18it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50: 100%|██████████| 8/8 [00:00<00:00, 128.29it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50: 100%|██████████| 8/8 [00:00<00:00, 127.82it/s, v_num=odal, val_loss=2.790, train_loss=0.462]
Epoch 50: 100%|██████████| 8/8 [00:00<00:00, 108.37it/s, v_num=odal, val_loss=2.970, train_loss=0.462]
Epoch 50: 100%|██████████| 8/8 [00:00<00:00, 107.59it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 50:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  12%|█▎        | 1/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  12%|█▎        | 1/8 [00:00<00:00, 124.15it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  25%|██▌       | 2/8 [00:00<00:00, 129.34it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  25%|██▌       | 2/8 [00:00<00:00, 127.36it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  38%|███▊      | 3/8 [00:00<00:00, 128.54it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  38%|███▊      | 3/8 [00:00<00:00, 127.34it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  50%|█████     | 4/8 [00:00<00:00, 128.52it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  50%|█████     | 4/8 [00:00<00:00, 127.67it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  62%|██████▎   | 5/8 [00:00<00:00, 127.75it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  62%|██████▎   | 5/8 [00:00<00:00, 127.09it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  75%|███████▌  | 6/8 [00:00<00:00, 128.03it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  75%|███████▌  | 6/8 [00:00<00:00, 127.48it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  88%|████████▊ | 7/8 [00:00<00:00, 128.45it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51:  88%|████████▊ | 7/8 [00:00<00:00, 127.92it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51: 100%|██████████| 8/8 [00:00<00:00, 128.91it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51: 100%|██████████| 8/8 [00:00<00:00, 128.49it/s, v_num=odal, val_loss=2.970, train_loss=0.468]
Epoch 51: 100%|██████████| 8/8 [00:00<00:00, 109.46it/s, v_num=odal, val_loss=2.900, train_loss=0.468]
Epoch 51: 100%|██████████| 8/8 [00:00<00:00, 108.68it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 51:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  12%|█▎        | 1/8 [00:00<00:00, 123.55it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  12%|█▎        | 1/8 [00:00<00:00, 120.53it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  25%|██▌       | 2/8 [00:00<00:00, 122.08it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  25%|██▌       | 2/8 [00:00<00:00, 120.42it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  38%|███▊      | 3/8 [00:00<00:00, 123.85it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  38%|███▊      | 3/8 [00:00<00:00, 122.68it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  50%|█████     | 4/8 [00:00<00:00, 124.50it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  50%|█████     | 4/8 [00:00<00:00, 123.73it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  62%|██████▎   | 5/8 [00:00<00:00, 124.73it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  62%|██████▎   | 5/8 [00:00<00:00, 124.10it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  75%|███████▌  | 6/8 [00:00<00:00, 124.16it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  75%|███████▌  | 6/8 [00:00<00:00, 123.53it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  88%|████████▊ | 7/8 [00:00<00:00, 124.37it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52:  88%|████████▊ | 7/8 [00:00<00:00, 123.86it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52: 100%|██████████| 8/8 [00:00<00:00, 126.08it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52: 100%|██████████| 8/8 [00:00<00:00, 125.68it/s, v_num=odal, val_loss=2.900, train_loss=0.409]
Epoch 52: 100%|██████████| 8/8 [00:00<00:00, 107.30it/s, v_num=odal, val_loss=2.990, train_loss=0.409]
Epoch 52: 100%|██████████| 8/8 [00:00<00:00, 106.52it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 52:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  12%|█▎        | 1/8 [00:00<00:00, 130.27it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  12%|█▎        | 1/8 [00:00<00:00, 126.49it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  25%|██▌       | 2/8 [00:00<00:00, 129.42it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  25%|██▌       | 2/8 [00:00<00:00, 127.70it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  38%|███▊      | 3/8 [00:00<00:00, 127.44it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  38%|███▊      | 3/8 [00:00<00:00, 126.25it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  50%|█████     | 4/8 [00:00<00:00, 127.68it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  50%|█████     | 4/8 [00:00<00:00, 126.86it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  62%|██████▎   | 5/8 [00:00<00:00, 127.73it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  62%|██████▎   | 5/8 [00:00<00:00, 127.05it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  75%|███████▌  | 6/8 [00:00<00:00, 128.35it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  75%|███████▌  | 6/8 [00:00<00:00, 127.79it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  88%|████████▊ | 7/8 [00:00<00:00, 127.80it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53:  88%|████████▊ | 7/8 [00:00<00:00, 127.29it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53: 100%|██████████| 8/8 [00:00<00:00, 129.02it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53: 100%|██████████| 8/8 [00:00<00:00, 128.60it/s, v_num=odal, val_loss=2.990, train_loss=0.334]
Epoch 53: 100%|██████████| 8/8 [00:00<00:00, 109.52it/s, v_num=odal, val_loss=2.710, train_loss=0.334]
Epoch 53: 100%|██████████| 8/8 [00:00<00:00, 108.75it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 53:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  12%|█▎        | 1/8 [00:00<00:00, 130.10it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  12%|█▎        | 1/8 [00:00<00:00, 126.74it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  25%|██▌       | 2/8 [00:00<00:00, 128.22it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  25%|██▌       | 2/8 [00:00<00:00, 125.96it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  38%|███▊      | 3/8 [00:00<00:00, 127.09it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  38%|███▊      | 3/8 [00:00<00:00, 126.00it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  50%|█████     | 4/8 [00:00<00:00, 125.91it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  50%|█████     | 4/8 [00:00<00:00, 125.10it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  62%|██████▎   | 5/8 [00:00<00:00, 125.87it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  62%|██████▎   | 5/8 [00:00<00:00, 125.22it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  75%|███████▌  | 6/8 [00:00<00:00, 125.55it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  75%|███████▌  | 6/8 [00:00<00:00, 125.00it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  88%|████████▊ | 7/8 [00:00<00:00, 126.02it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54:  88%|████████▊ | 7/8 [00:00<00:00, 125.54it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54: 100%|██████████| 8/8 [00:00<00:00, 126.53it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54: 100%|██████████| 8/8 [00:00<00:00, 126.08it/s, v_num=odal, val_loss=2.710, train_loss=0.392]
Epoch 54: 100%|██████████| 8/8 [00:00<00:00, 107.12it/s, v_num=odal, val_loss=2.750, train_loss=0.392]
Epoch 54: 100%|██████████| 8/8 [00:00<00:00, 106.35it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 54:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  12%|█▎        | 1/8 [00:00<00:00, 128.31it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  12%|█▎        | 1/8 [00:00<00:00, 125.06it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  25%|██▌       | 2/8 [00:00<00:00, 128.99it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  25%|██▌       | 2/8 [00:00<00:00, 127.03it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  38%|███▊      | 3/8 [00:00<00:00, 128.83it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  38%|███▊      | 3/8 [00:00<00:00, 127.71it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  50%|█████     | 4/8 [00:00<00:00, 128.20it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  50%|█████     | 4/8 [00:00<00:00, 127.36it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  62%|██████▎   | 5/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  62%|██████▎   | 5/8 [00:00<00:00, 126.15it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  75%|███████▌  | 6/8 [00:00<00:00, 126.55it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  75%|███████▌  | 6/8 [00:00<00:00, 125.96it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  88%|████████▊ | 7/8 [00:00<00:00, 126.32it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55:  88%|████████▊ | 7/8 [00:00<00:00, 125.82it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55: 100%|██████████| 8/8 [00:00<00:00, 127.31it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55: 100%|██████████| 8/8 [00:00<00:00, 126.90it/s, v_num=odal, val_loss=2.750, train_loss=0.362]
Epoch 55: 100%|██████████| 8/8 [00:00<00:00, 108.19it/s, v_num=odal, val_loss=2.920, train_loss=0.362]
Epoch 55: 100%|██████████| 8/8 [00:00<00:00, 107.43it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 55:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  12%|█▎        | 1/8 [00:00<00:00, 123.76it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  12%|█▎        | 1/8 [00:00<00:00, 120.69it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  25%|██▌       | 2/8 [00:00<00:00, 125.63it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  25%|██▌       | 2/8 [00:00<00:00, 124.02it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  38%|███▊      | 3/8 [00:00<00:00, 125.54it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  38%|███▊      | 3/8 [00:00<00:00, 124.40it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  50%|█████     | 4/8 [00:00<00:00, 125.86it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  50%|█████     | 4/8 [00:00<00:00, 125.04it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  62%|██████▎   | 5/8 [00:00<00:00, 126.85it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  62%|██████▎   | 5/8 [00:00<00:00, 126.20it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  75%|███████▌  | 6/8 [00:00<00:00, 126.23it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  75%|███████▌  | 6/8 [00:00<00:00, 125.61it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  88%|████████▊ | 7/8 [00:00<00:00, 126.73it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56:  88%|████████▊ | 7/8 [00:00<00:00, 126.26it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56: 100%|██████████| 8/8 [00:00<00:00, 127.90it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56: 100%|██████████| 8/8 [00:00<00:00, 127.42it/s, v_num=odal, val_loss=2.920, train_loss=0.416]
Epoch 56: 100%|██████████| 8/8 [00:00<00:00, 108.40it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 56: 100%|██████████| 8/8 [00:00<00:00, 107.61it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 56:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  12%|█▎        | 1/8 [00:00<00:00, 125.26it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  12%|█▎        | 1/8 [00:00<00:00, 122.16it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  25%|██▌       | 2/8 [00:00<00:00, 125.38it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  25%|██▌       | 2/8 [00:00<00:00, 123.79it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  38%|███▊      | 3/8 [00:00<00:00, 124.15it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  38%|███▊      | 3/8 [00:00<00:00, 123.11it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  50%|█████     | 4/8 [00:00<00:00, 125.19it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  50%|█████     | 4/8 [00:00<00:00, 124.40it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  62%|██████▎   | 5/8 [00:00<00:00, 126.33it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  62%|██████▎   | 5/8 [00:00<00:00, 125.60it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  75%|███████▌  | 6/8 [00:00<00:00, 126.77it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  75%|███████▌  | 6/8 [00:00<00:00, 126.23it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  88%|████████▊ | 7/8 [00:00<00:00, 126.16it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57:  88%|████████▊ | 7/8 [00:00<00:00, 125.68it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57: 100%|██████████| 8/8 [00:00<00:00, 127.62it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57: 100%|██████████| 8/8 [00:00<00:00, 127.03it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57: 100%|██████████| 8/8 [00:00<00:00, 108.03it/s, v_num=odal, val_loss=2.750, train_loss=0.366]
Epoch 57: 100%|██████████| 8/8 [00:00<00:00, 107.27it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 57:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  12%|█▎        | 1/8 [00:00<00:00, 129.08it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  12%|█▎        | 1/8 [00:00<00:00, 125.74it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  25%|██▌       | 2/8 [00:00<00:00, 129.05it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  25%|██▌       | 2/8 [00:00<00:00, 127.18it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  38%|███▊      | 3/8 [00:00<00:00, 128.41it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  38%|███▊      | 3/8 [00:00<00:00, 127.16it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  50%|█████     | 4/8 [00:00<00:00, 126.37it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  50%|█████     | 4/8 [00:00<00:00, 125.55it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  62%|██████▎   | 5/8 [00:00<00:00, 127.27it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  62%|██████▎   | 5/8 [00:00<00:00, 126.59it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  75%|███████▌  | 6/8 [00:00<00:00, 126.38it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  75%|███████▌  | 6/8 [00:00<00:00, 125.78it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  88%|████████▊ | 7/8 [00:00<00:00, 126.39it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58:  88%|████████▊ | 7/8 [00:00<00:00, 125.87it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58: 100%|██████████| 8/8 [00:00<00:00, 127.32it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58: 100%|██████████| 8/8 [00:00<00:00, 126.89it/s, v_num=odal, val_loss=2.750, train_loss=0.416]
Epoch 58: 100%|██████████| 8/8 [00:00<00:00, 108.04it/s, v_num=odal, val_loss=2.700, train_loss=0.416]
Epoch 58: 100%|██████████| 8/8 [00:00<00:00, 107.19it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 58:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:   0%|          | 0/8 [00:00<?, ?it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  12%|█▎        | 1/8 [00:00<00:00, 125.71it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  12%|█▎        | 1/8 [00:00<00:00, 122.57it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  25%|██▌       | 2/8 [00:00<00:00, 127.03it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  25%|██▌       | 2/8 [00:00<00:00, 125.38it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  38%|███▊      | 3/8 [00:00<00:00, 126.78it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  38%|███▊      | 3/8 [00:00<00:00, 125.67it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  50%|█████     | 4/8 [00:00<00:00, 127.66it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  50%|█████     | 4/8 [00:00<00:00, 126.82it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  62%|██████▎   | 5/8 [00:00<00:00, 126.35it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  62%|██████▎   | 5/8 [00:00<00:00, 125.68it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  75%|███████▌  | 6/8 [00:00<00:00, 126.49it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  75%|███████▌  | 6/8 [00:00<00:00, 125.94it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  88%|████████▊ | 7/8 [00:00<00:00, 126.51it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59:  88%|████████▊ | 7/8 [00:00<00:00, 126.04it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59: 100%|██████████| 8/8 [00:00<00:00, 126.64it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59: 100%|██████████| 8/8 [00:00<00:00, 126.15it/s, v_num=odal, val_loss=2.700, train_loss=0.418]
Epoch 59: 100%|██████████| 8/8 [00:00<00:00, 107.10it/s, v_num=odal, val_loss=2.620, train_loss=0.418]
Epoch 59: 100%|██████████| 8/8 [00:00<00:00, 106.30it/s, v_num=odal, val_loss=2.620, train_loss=0.403]
Epoch 59: 100%|██████████| 8/8 [00:00<00:00, 105.34it/s, v_num=odal, val_loss=2.620, train_loss=0.403]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
     Validate metric           DataLoader 0
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
         MAE_val            1.2814801931381226
         R2_val             0.6458423137664795
        val_loss            2.6169376373291016
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

5. Plotting the results of the first model 📊

Let’s unveil the results of our first model’s hard work. We’re using the RealsVsPreds class to plot the results of the first model. This class takes the trained model as an input and returns a plot of the real values vs the predicted values from the final validation data (when using from_final_val_data). If you want to plot the results from the test data, you can use from_new_data instead. See the example notebook on plotting with new data for more detail.

reals_preds_model_1 = RealsVsPreds.from_final_val_data(model_1_list)

plt.show()

6. Training the second fusion model 🏁

It’s time for our second fusion model to shine! Here we train the second fusion model: ConcatTabularFeatureMaps. We’re using the same steps as before, but this time we’re using the second model in the fusion_models list.

Choose the model

fusion_model = fusion_models[1]

print("Method name:", fusion_model.method_name)
print("Modality type:", fusion_model.modality_type)
print("Fusion type:", fusion_model.fusion_type)

# Create the data module
dm = prepare_fusion_data(prediction_task=prediction_task,
                         fusion_model=fusion_model,
                         data_paths=data_paths,
                         output_paths=output_paths,
                         batch_size=batch_size,
                         test_size=test_size)

# train and test
model_2_list = train_and_save_models(
    data_module=dm,
    fusion_model=fusion_model,
    enable_checkpointing=False,  # False for the example notebooks
    show_loss_plot=True,
)

# Add trained model to dictionary
all_trained_models[fusion_model.__name__] = model_2_list

Method name: Concatenating tabular feature maps
Modality type: tabular_tabular
Fusion type: operation

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/8 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/8 [00:00<?, ?it/s]
Epoch 0:  12%|█▎        | 1/8 [00:00<00:00, 76.09it/s]
Epoch 0:  12%|█▎        | 1/8 [00:00<00:00, 74.78it/s, v_num=Maps]
Epoch 0:  25%|██▌       | 2/8 [00:00<00:00, 82.94it/s, v_num=Maps]
Epoch 0:  25%|██▌       | 2/8 [00:00<00:00, 82.22it/s, v_num=Maps]
Epoch 0:  38%|███▊      | 3/8 [00:00<00:00, 86.69it/s, v_num=Maps]
Epoch 0:  38%|███▊      | 3/8 [00:00<00:00, 86.19it/s, v_num=Maps]
Epoch 0:  50%|█████     | 4/8 [00:00<00:00, 89.20it/s, v_num=Maps]
Epoch 0:  50%|█████     | 4/8 [00:00<00:00, 88.82it/s, v_num=Maps]
Epoch 0:  62%|██████▎   | 5/8 [00:00<00:00, 90.36it/s, v_num=Maps]
Epoch 0:  62%|██████▎   | 5/8 [00:00<00:00, 90.04it/s, v_num=Maps]
Epoch 0:  75%|███████▌  | 6/8 [00:00<00:00, 91.09it/s, v_num=Maps]
Epoch 0:  75%|███████▌  | 6/8 [00:00<00:00, 90.81it/s, v_num=Maps]
Epoch 0:  88%|████████▊ | 7/8 [00:00<00:00, 92.30it/s, v_num=Maps]
Epoch 0:  88%|████████▊ | 7/8 [00:00<00:00, 92.06it/s, v_num=Maps]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 94.03it/s, v_num=Maps]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 93.81it/s, v_num=Maps]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 81.02it/s, v_num=Maps, val_loss=12.60]
Epoch 0: 100%|██████████| 8/8 [00:00<00:00, 80.55it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 0:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  12%|█▎        | 1/8 [00:00<00:00, 96.04it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  12%|█▎        | 1/8 [00:00<00:00, 94.03it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  25%|██▌       | 2/8 [00:00<00:00, 98.70it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  25%|██▌       | 2/8 [00:00<00:00, 97.58it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  38%|███▊      | 3/8 [00:00<00:00, 98.84it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  38%|███▊      | 3/8 [00:00<00:00, 98.10it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  50%|█████     | 4/8 [00:00<00:00, 98.98it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  50%|█████     | 4/8 [00:00<00:00, 98.49it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  62%|██████▎   | 5/8 [00:00<00:00, 99.14it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  62%|██████▎   | 5/8 [00:00<00:00, 98.74it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  75%|███████▌  | 6/8 [00:00<00:00, 97.50it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  75%|███████▌  | 6/8 [00:00<00:00, 97.15it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  88%|████████▊ | 7/8 [00:00<00:00, 97.74it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1:  88%|████████▊ | 7/8 [00:00<00:00, 97.46it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 99.08it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 98.83it/s, v_num=Maps, val_loss=12.60, train_loss=16.20]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 85.46it/s, v_num=Maps, val_loss=7.200, train_loss=16.20]
Epoch 1: 100%|██████████| 8/8 [00:00<00:00, 84.92it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 1:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  12%|█▎        | 1/8 [00:00<00:00, 99.91it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  12%|█▎        | 1/8 [00:00<00:00, 97.87it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  25%|██▌       | 2/8 [00:00<00:00, 100.98it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  25%|██▌       | 2/8 [00:00<00:00, 99.92it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  38%|███▊      | 3/8 [00:00<00:00, 99.73it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  38%|███▊      | 3/8 [00:00<00:00, 99.05it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  50%|█████     | 4/8 [00:00<00:00, 100.05it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  50%|█████     | 4/8 [00:00<00:00, 99.55it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  62%|██████▎   | 5/8 [00:00<00:00, 99.82it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  62%|██████▎   | 5/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  75%|███████▌  | 6/8 [00:00<00:00, 99.58it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  75%|███████▌  | 6/8 [00:00<00:00, 99.23it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  88%|████████▊ | 7/8 [00:00<00:00, 98.57it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2:  88%|████████▊ | 7/8 [00:00<00:00, 98.26it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 99.69it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 99.43it/s, v_num=Maps, val_loss=7.200, train_loss=9.830]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 85.89it/s, v_num=Maps, val_loss=5.360, train_loss=9.830]
Epoch 2: 100%|██████████| 8/8 [00:00<00:00, 85.29it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 2:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  12%|█▎        | 1/8 [00:00<00:00, 101.05it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  12%|█▎        | 1/8 [00:00<00:00, 98.78it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  25%|██▌       | 2/8 [00:00<00:00, 100.54it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  25%|██▌       | 2/8 [00:00<00:00, 99.43it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  38%|███▊      | 3/8 [00:00<00:00, 100.62it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  38%|███▊      | 3/8 [00:00<00:00, 99.93it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  50%|█████     | 4/8 [00:00<00:00, 98.65it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  50%|█████     | 4/8 [00:00<00:00, 98.14it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  62%|██████▎   | 5/8 [00:00<00:00, 98.83it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  62%|██████▎   | 5/8 [00:00<00:00, 98.44it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  75%|███████▌  | 6/8 [00:00<00:00, 98.91it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  75%|███████▌  | 6/8 [00:00<00:00, 98.57it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  88%|████████▊ | 7/8 [00:00<00:00, 98.85it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3:  88%|████████▊ | 7/8 [00:00<00:00, 98.54it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 100.06it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 99.78it/s, v_num=Maps, val_loss=5.360, train_loss=7.270]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 85.78it/s, v_num=Maps, val_loss=7.180, train_loss=7.270]
Epoch 3: 100%|██████████| 8/8 [00:00<00:00, 85.24it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 3:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  12%|█▎        | 1/8 [00:00<00:00, 99.71it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  12%|█▎        | 1/8 [00:00<00:00, 97.60it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  25%|██▌       | 2/8 [00:00<00:00, 99.76it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  25%|██▌       | 2/8 [00:00<00:00, 98.72it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  38%|███▊      | 3/8 [00:00<00:00, 100.18it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  38%|███▊      | 3/8 [00:00<00:00, 99.46it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  50%|█████     | 4/8 [00:00<00:00, 100.31it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  50%|█████     | 4/8 [00:00<00:00, 99.77it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  62%|██████▎   | 5/8 [00:00<00:00, 99.67it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  62%|██████▎   | 5/8 [00:00<00:00, 99.26it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  75%|███████▌  | 6/8 [00:00<00:00, 99.90it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  75%|███████▌  | 6/8 [00:00<00:00, 99.54it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  88%|████████▊ | 7/8 [00:00<00:00, 99.99it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4:  88%|████████▊ | 7/8 [00:00<00:00, 99.68it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 100.78it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 100.52it/s, v_num=Maps, val_loss=7.180, train_loss=6.930]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 86.64it/s, v_num=Maps, val_loss=4.860, train_loss=6.930]
Epoch 4: 100%|██████████| 8/8 [00:00<00:00, 86.06it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 4:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  12%|█▎        | 1/8 [00:00<00:00, 96.55it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  12%|█▎        | 1/8 [00:00<00:00, 94.66it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  25%|██▌       | 2/8 [00:00<00:00, 98.26it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  25%|██▌       | 2/8 [00:00<00:00, 97.28it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  38%|███▊      | 3/8 [00:00<00:00, 98.91it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  38%|███▊      | 3/8 [00:00<00:00, 98.23it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  50%|█████     | 4/8 [00:00<00:00, 99.36it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  50%|█████     | 4/8 [00:00<00:00, 98.85it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  62%|██████▎   | 5/8 [00:00<00:00, 99.06it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  62%|██████▎   | 5/8 [00:00<00:00, 98.64it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  75%|███████▌  | 6/8 [00:00<00:00, 99.01it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  75%|███████▌  | 6/8 [00:00<00:00, 98.67it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  88%|████████▊ | 7/8 [00:00<00:00, 99.37it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5:  88%|████████▊ | 7/8 [00:00<00:00, 99.07it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 100.48it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 100.21it/s, v_num=Maps, val_loss=4.860, train_loss=5.440]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 86.56it/s, v_num=Maps, val_loss=4.200, train_loss=5.440]
Epoch 5: 100%|██████████| 8/8 [00:00<00:00, 86.01it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 5:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  12%|█▎        | 1/8 [00:00<00:00, 99.95it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  12%|█▎        | 1/8 [00:00<00:00, 97.95it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  25%|██▌       | 2/8 [00:00<00:00, 97.99it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  25%|██▌       | 2/8 [00:00<00:00, 96.99it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  38%|███▊      | 3/8 [00:00<00:00, 98.40it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  38%|███▊      | 3/8 [00:00<00:00, 97.74it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  50%|█████     | 4/8 [00:00<00:00, 98.78it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  50%|█████     | 4/8 [00:00<00:00, 98.26it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  62%|██████▎   | 5/8 [00:00<00:00, 99.10it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  62%|██████▎   | 5/8 [00:00<00:00, 98.69it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  75%|███████▌  | 6/8 [00:00<00:00, 99.22it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  75%|███████▌  | 6/8 [00:00<00:00, 98.89it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  88%|████████▊ | 7/8 [00:00<00:00, 98.88it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6:  88%|████████▊ | 7/8 [00:00<00:00, 98.59it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 100.11it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 99.85it/s, v_num=Maps, val_loss=4.200, train_loss=4.120]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 86.23it/s, v_num=Maps, val_loss=4.160, train_loss=4.120]
Epoch 6: 100%|██████████| 8/8 [00:00<00:00, 85.64it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 6:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  12%|█▎        | 1/8 [00:00<00:00, 100.16it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  12%|█▎        | 1/8 [00:00<00:00, 98.12it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  25%|██▌       | 2/8 [00:00<00:00, 99.64it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  25%|██▌       | 2/8 [00:00<00:00, 98.62it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  38%|███▊      | 3/8 [00:00<00:00, 98.51it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  38%|███▊      | 3/8 [00:00<00:00, 97.83it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  50%|█████     | 4/8 [00:00<00:00, 98.74it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  50%|█████     | 4/8 [00:00<00:00, 98.25it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  62%|██████▎   | 5/8 [00:00<00:00, 98.99it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  62%|██████▎   | 5/8 [00:00<00:00, 98.58it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  75%|███████▌  | 6/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  75%|███████▌  | 6/8 [00:00<00:00, 99.07it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  88%|████████▊ | 7/8 [00:00<00:00, 99.03it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7:  88%|████████▊ | 7/8 [00:00<00:00, 98.75it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 99.63it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 99.35it/s, v_num=Maps, val_loss=4.160, train_loss=3.520]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 85.75it/s, v_num=Maps, val_loss=3.700, train_loss=3.520]
Epoch 7: 100%|██████████| 8/8 [00:00<00:00, 85.18it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 7:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  12%|█▎        | 1/8 [00:00<00:00, 98.00it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  12%|█▎        | 1/8 [00:00<00:00, 96.05it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  25%|██▌       | 2/8 [00:00<00:00, 98.62it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  25%|██▌       | 2/8 [00:00<00:00, 97.63it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  38%|███▊      | 3/8 [00:00<00:00, 99.18it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  38%|███▊      | 3/8 [00:00<00:00, 98.50it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  50%|█████     | 4/8 [00:00<00:00, 99.26it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  50%|█████     | 4/8 [00:00<00:00, 98.75it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  62%|██████▎   | 5/8 [00:00<00:00, 98.72it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  62%|██████▎   | 5/8 [00:00<00:00, 98.28it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  75%|███████▌  | 6/8 [00:00<00:00, 98.89it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  75%|███████▌  | 6/8 [00:00<00:00, 98.51it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  88%|████████▊ | 7/8 [00:00<00:00, 99.00it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8:  88%|████████▊ | 7/8 [00:00<00:00, 98.68it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 100.21it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 99.95it/s, v_num=Maps, val_loss=3.700, train_loss=3.010]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 86.32it/s, v_num=Maps, val_loss=3.740, train_loss=3.010]
Epoch 8: 100%|██████████| 8/8 [00:00<00:00, 85.76it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 8:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  12%|█▎        | 1/8 [00:00<00:00, 97.01it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  12%|█▎        | 1/8 [00:00<00:00, 95.08it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  25%|██▌       | 2/8 [00:00<00:00, 97.60it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  25%|██▌       | 2/8 [00:00<00:00, 96.61it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  38%|███▊      | 3/8 [00:00<00:00, 97.37it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  38%|███▊      | 3/8 [00:00<00:00, 96.67it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  50%|█████     | 4/8 [00:00<00:00, 98.34it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  50%|█████     | 4/8 [00:00<00:00, 97.78it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  62%|██████▎   | 5/8 [00:00<00:00, 97.96it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  62%|██████▎   | 5/8 [00:00<00:00, 97.52it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  75%|███████▌  | 6/8 [00:00<00:00, 98.00it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  75%|███████▌  | 6/8 [00:00<00:00, 97.65it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  88%|████████▊ | 7/8 [00:00<00:00, 98.18it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9:  88%|████████▊ | 7/8 [00:00<00:00, 97.89it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 99.16it/s, v_num=Maps, val_loss=3.740, train_loss=2.200]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 85.41it/s, v_num=Maps, val_loss=3.340, train_loss=2.200]
Epoch 9: 100%|██████████| 8/8 [00:00<00:00, 84.86it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 9:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  12%|█▎        | 1/8 [00:00<00:00, 100.55it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  12%|█▎        | 1/8 [00:00<00:00, 98.50it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  25%|██▌       | 2/8 [00:00<00:00, 98.43it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  25%|██▌       | 2/8 [00:00<00:00, 97.42it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  38%|███▊      | 3/8 [00:00<00:00, 98.05it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  38%|███▊      | 3/8 [00:00<00:00, 97.40it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  50%|█████     | 4/8 [00:00<00:00, 97.23it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  50%|█████     | 4/8 [00:00<00:00, 96.74it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  62%|██████▎   | 5/8 [00:00<00:00, 97.28it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  62%|██████▎   | 5/8 [00:00<00:00, 96.89it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  75%|███████▌  | 6/8 [00:00<00:00, 97.66it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  75%|███████▌  | 6/8 [00:00<00:00, 97.33it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  88%|████████▊ | 7/8 [00:00<00:00, 97.06it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10:  88%|████████▊ | 7/8 [00:00<00:00, 96.78it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 98.44it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 98.18it/s, v_num=Maps, val_loss=3.340, train_loss=2.070]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 84.96it/s, v_num=Maps, val_loss=3.650, train_loss=2.070]
Epoch 10: 100%|██████████| 8/8 [00:00<00:00, 84.43it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 10:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  12%|█▎        | 1/8 [00:00<00:00, 100.35it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  12%|█▎        | 1/8 [00:00<00:00, 98.26it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  25%|██▌       | 2/8 [00:00<00:00, 100.14it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  25%|██▌       | 2/8 [00:00<00:00, 99.09it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  38%|███▊      | 3/8 [00:00<00:00, 99.05it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  38%|███▊      | 3/8 [00:00<00:00, 98.38it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  50%|█████     | 4/8 [00:00<00:00, 99.37it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  50%|█████     | 4/8 [00:00<00:00, 98.82it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  62%|██████▎   | 5/8 [00:00<00:00, 99.66it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  62%|██████▎   | 5/8 [00:00<00:00, 99.25it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  75%|███████▌  | 6/8 [00:00<00:00, 99.74it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  75%|███████▌  | 6/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  88%|████████▊ | 7/8 [00:00<00:00, 99.76it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11:  88%|████████▊ | 7/8 [00:00<00:00, 99.45it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 100.35it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 99.96it/s, v_num=Maps, val_loss=3.650, train_loss=1.560]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 86.07it/s, v_num=Maps, val_loss=3.790, train_loss=1.560]
Epoch 11: 100%|██████████| 8/8 [00:00<00:00, 85.51it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 11:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  12%|█▎        | 1/8 [00:00<00:00, 97.40it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  12%|█▎        | 1/8 [00:00<00:00, 95.25it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  25%|██▌       | 2/8 [00:00<00:00, 98.18it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  25%|██▌       | 2/8 [00:00<00:00, 97.08it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  38%|███▊      | 3/8 [00:00<00:00, 98.88it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  38%|███▊      | 3/8 [00:00<00:00, 98.14it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  50%|█████     | 4/8 [00:00<00:00, 98.58it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  50%|█████     | 4/8 [00:00<00:00, 98.09it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  62%|██████▎   | 5/8 [00:00<00:00, 97.97it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  62%|██████▎   | 5/8 [00:00<00:00, 97.57it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  75%|███████▌  | 6/8 [00:00<00:00, 98.45it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  75%|███████▌  | 6/8 [00:00<00:00, 98.12it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  88%|████████▊ | 7/8 [00:00<00:00, 98.76it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12:  88%|████████▊ | 7/8 [00:00<00:00, 98.47it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 99.73it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 99.45it/s, v_num=Maps, val_loss=3.790, train_loss=1.330]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 85.69it/s, v_num=Maps, val_loss=3.710, train_loss=1.330]
Epoch 12: 100%|██████████| 8/8 [00:00<00:00, 85.13it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 12:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  12%|█▎        | 1/8 [00:00<00:00, 94.74it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  12%|█▎        | 1/8 [00:00<00:00, 92.77it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  25%|██▌       | 2/8 [00:00<00:00, 96.41it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  25%|██▌       | 2/8 [00:00<00:00, 95.30it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  38%|███▊      | 3/8 [00:00<00:00, 97.62it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  38%|███▊      | 3/8 [00:00<00:00, 96.90it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  50%|█████     | 4/8 [00:00<00:00, 98.31it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  50%|█████     | 4/8 [00:00<00:00, 97.77it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  62%|██████▎   | 5/8 [00:00<00:00, 98.55it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  62%|██████▎   | 5/8 [00:00<00:00, 98.11it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  75%|███████▌  | 6/8 [00:00<00:00, 98.65it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  75%|███████▌  | 6/8 [00:00<00:00, 98.28it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  88%|████████▊ | 7/8 [00:00<00:00, 98.14it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13:  88%|████████▊ | 7/8 [00:00<00:00, 97.86it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 99.39it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 99.15it/s, v_num=Maps, val_loss=3.710, train_loss=1.450]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 85.57it/s, v_num=Maps, val_loss=3.500, train_loss=1.450]
Epoch 13: 100%|██████████| 8/8 [00:00<00:00, 85.02it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 13:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  12%|█▎        | 1/8 [00:00<00:00, 98.27it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  12%|█▎        | 1/8 [00:00<00:00, 95.31it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  25%|██▌       | 2/8 [00:00<00:00, 99.65it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  25%|██▌       | 2/8 [00:00<00:00, 98.55it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  38%|███▊      | 3/8 [00:00<00:00, 97.18it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  38%|███▊      | 3/8 [00:00<00:00, 96.50it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  50%|█████     | 4/8 [00:00<00:00, 97.53it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  50%|█████     | 4/8 [00:00<00:00, 96.96it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  62%|██████▎   | 5/8 [00:00<00:00, 97.53it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  62%|██████▎   | 5/8 [00:00<00:00, 97.13it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  75%|███████▌  | 6/8 [00:00<00:00, 97.52it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  75%|███████▌  | 6/8 [00:00<00:00, 97.19it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  88%|████████▊ | 7/8 [00:00<00:00, 97.87it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14:  88%|████████▊ | 7/8 [00:00<00:00, 97.59it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 98.28it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 98.03it/s, v_num=Maps, val_loss=3.500, train_loss=0.913]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 84.77it/s, v_num=Maps, val_loss=3.400, train_loss=0.913]
Epoch 14: 100%|██████████| 8/8 [00:00<00:00, 84.24it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 14:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  12%|█▎        | 1/8 [00:00<00:00, 100.23it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  12%|█▎        | 1/8 [00:00<00:00, 98.16it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  25%|██▌       | 2/8 [00:00<00:00, 99.24it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  25%|██▌       | 2/8 [00:00<00:00, 98.24it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  38%|███▊      | 3/8 [00:00<00:00, 97.78it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  38%|███▊      | 3/8 [00:00<00:00, 97.08it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  50%|█████     | 4/8 [00:00<00:00, 97.40it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  50%|█████     | 4/8 [00:00<00:00, 96.66it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  62%|██████▎   | 5/8 [00:00<00:00, 96.03it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  62%|██████▎   | 5/8 [00:00<00:00, 95.65it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  75%|███████▌  | 6/8 [00:00<00:00, 96.61it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  75%|███████▌  | 6/8 [00:00<00:00, 96.29it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  88%|████████▊ | 7/8 [00:00<00:00, 97.17it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15:  88%|████████▊ | 7/8 [00:00<00:00, 96.89it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 98.62it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 98.37it/s, v_num=Maps, val_loss=3.400, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 85.05it/s, v_num=Maps, val_loss=3.760, train_loss=1.070]
Epoch 15: 100%|██████████| 8/8 [00:00<00:00, 84.51it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 15:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  12%|█▎        | 1/8 [00:00<00:00, 96.68it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  12%|█▎        | 1/8 [00:00<00:00, 94.66it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  25%|██▌       | 2/8 [00:00<00:00, 98.45it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  25%|██▌       | 2/8 [00:00<00:00, 97.46it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  38%|███▊      | 3/8 [00:00<00:00, 99.05it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  38%|███▊      | 3/8 [00:00<00:00, 98.38it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  50%|█████     | 4/8 [00:00<00:00, 99.43it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  50%|█████     | 4/8 [00:00<00:00, 98.88it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  62%|██████▎   | 5/8 [00:00<00:00, 99.57it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  62%|██████▎   | 5/8 [00:00<00:00, 99.10it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  75%|███████▌  | 6/8 [00:00<00:00, 99.78it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  75%|███████▌  | 6/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  88%|████████▊ | 7/8 [00:00<00:00, 99.25it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16:  88%|████████▊ | 7/8 [00:00<00:00, 98.95it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 100.41it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 100.15it/s, v_num=Maps, val_loss=3.760, train_loss=0.844]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 86.27it/s, v_num=Maps, val_loss=3.170, train_loss=0.844]
Epoch 16: 100%|██████████| 8/8 [00:00<00:00, 85.71it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 16:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  12%|█▎        | 1/8 [00:00<00:00, 99.76it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  12%|█▎        | 1/8 [00:00<00:00, 97.75it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  25%|██▌       | 2/8 [00:00<00:00, 99.82it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  25%|██▌       | 2/8 [00:00<00:00, 98.72it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  38%|███▊      | 3/8 [00:00<00:00, 99.13it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  38%|███▊      | 3/8 [00:00<00:00, 98.39it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  50%|█████     | 4/8 [00:00<00:00, 99.44it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  50%|█████     | 4/8 [00:00<00:00, 98.88it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  62%|██████▎   | 5/8 [00:00<00:00, 99.83it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  62%|██████▎   | 5/8 [00:00<00:00, 99.38it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  75%|███████▌  | 6/8 [00:00<00:00, 99.80it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  75%|███████▌  | 6/8 [00:00<00:00, 99.40it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  88%|████████▊ | 7/8 [00:00<00:00, 99.78it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17:  88%|████████▊ | 7/8 [00:00<00:00, 99.45it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 100.65it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 100.39it/s, v_num=Maps, val_loss=3.170, train_loss=0.835]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 86.58it/s, v_num=Maps, val_loss=3.630, train_loss=0.835]
Epoch 17: 100%|██████████| 8/8 [00:00<00:00, 86.03it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 17:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  12%|█▎        | 1/8 [00:00<00:00, 100.89it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  12%|█▎        | 1/8 [00:00<00:00, 98.80it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  25%|██▌       | 2/8 [00:00<00:00, 100.64it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  25%|██▌       | 2/8 [00:00<00:00, 99.58it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  38%|███▊      | 3/8 [00:00<00:00, 100.58it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  38%|███▊      | 3/8 [00:00<00:00, 99.88it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  50%|█████     | 4/8 [00:00<00:00, 100.50it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  50%|█████     | 4/8 [00:00<00:00, 99.98it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  62%|██████▎   | 5/8 [00:00<00:00, 99.56it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  62%|██████▎   | 5/8 [00:00<00:00, 99.14it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  75%|███████▌  | 6/8 [00:00<00:00, 99.37it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  75%|███████▌  | 6/8 [00:00<00:00, 99.02it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  88%|████████▊ | 7/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18:  88%|████████▊ | 7/8 [00:00<00:00, 99.09it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 100.58it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 100.29it/s, v_num=Maps, val_loss=3.630, train_loss=0.729]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 86.53it/s, v_num=Maps, val_loss=3.620, train_loss=0.729]
Epoch 18: 100%|██████████| 8/8 [00:00<00:00, 85.96it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 18:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  12%|█▎        | 1/8 [00:00<00:00, 96.09it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  12%|█▎        | 1/8 [00:00<00:00, 94.13it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  25%|██▌       | 2/8 [00:00<00:00, 97.73it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  25%|██▌       | 2/8 [00:00<00:00, 96.73it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  38%|███▊      | 3/8 [00:00<00:00, 97.36it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  38%|███▊      | 3/8 [00:00<00:00, 96.64it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  50%|█████     | 4/8 [00:00<00:00, 94.28it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  50%|█████     | 4/8 [00:00<00:00, 93.82it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  62%|██████▎   | 5/8 [00:00<00:00, 95.05it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  62%|██████▎   | 5/8 [00:00<00:00, 94.68it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  75%|███████▌  | 6/8 [00:00<00:00, 95.60it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  75%|███████▌  | 6/8 [00:00<00:00, 95.29it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  88%|████████▊ | 7/8 [00:00<00:00, 95.70it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19:  88%|████████▊ | 7/8 [00:00<00:00, 95.42it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 96.84it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 96.59it/s, v_num=Maps, val_loss=3.620, train_loss=0.859]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 83.63it/s, v_num=Maps, val_loss=3.500, train_loss=0.859]
Epoch 19: 100%|██████████| 8/8 [00:00<00:00, 83.11it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 19:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  12%|█▎        | 1/8 [00:00<00:00, 100.40it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  12%|█▎        | 1/8 [00:00<00:00, 98.11it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  25%|██▌       | 2/8 [00:00<00:00, 100.94it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  25%|██▌       | 2/8 [00:00<00:00, 99.89it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  38%|███▊      | 3/8 [00:00<00:00, 99.94it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  38%|███▊      | 3/8 [00:00<00:00, 99.16it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  50%|█████     | 4/8 [00:00<00:00, 99.37it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  50%|█████     | 4/8 [00:00<00:00, 98.84it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  62%|██████▎   | 5/8 [00:00<00:00, 99.01it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  62%|██████▎   | 5/8 [00:00<00:00, 98.58it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  75%|███████▌  | 6/8 [00:00<00:00, 97.87it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  75%|███████▌  | 6/8 [00:00<00:00, 97.51it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  88%|████████▊ | 7/8 [00:00<00:00, 97.64it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20:  88%|████████▊ | 7/8 [00:00<00:00, 97.34it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 98.04it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 97.79it/s, v_num=Maps, val_loss=3.500, train_loss=0.805]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 84.39it/s, v_num=Maps, val_loss=3.610, train_loss=0.805]
Epoch 20: 100%|██████████| 8/8 [00:00<00:00, 83.85it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 20:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  12%|█▎        | 1/8 [00:00<00:00, 98.04it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  12%|█▎        | 1/8 [00:00<00:00, 96.10it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  25%|██▌       | 2/8 [00:00<00:00, 95.57it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  25%|██▌       | 2/8 [00:00<00:00, 94.53it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  38%|███▊      | 3/8 [00:00<00:00, 95.91it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  38%|███▊      | 3/8 [00:00<00:00, 95.27it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  50%|█████     | 4/8 [00:00<00:00, 96.15it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  50%|█████     | 4/8 [00:00<00:00, 95.67it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  62%|██████▎   | 5/8 [00:00<00:00, 96.11it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  62%|██████▎   | 5/8 [00:00<00:00, 95.68it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  75%|███████▌  | 6/8 [00:00<00:00, 96.19it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  75%|███████▌  | 6/8 [00:00<00:00, 95.87it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  88%|████████▊ | 7/8 [00:00<00:00, 96.28it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21:  88%|████████▊ | 7/8 [00:00<00:00, 95.99it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 97.64it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 97.37it/s, v_num=Maps, val_loss=3.610, train_loss=0.830]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 84.30it/s, v_num=Maps, val_loss=3.670, train_loss=0.830]
Epoch 21: 100%|██████████| 8/8 [00:00<00:00, 83.76it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 21:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  12%|█▎        | 1/8 [00:00<00:00, 96.31it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  12%|█▎        | 1/8 [00:00<00:00, 94.29it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  25%|██▌       | 2/8 [00:00<00:00, 97.67it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  25%|██▌       | 2/8 [00:00<00:00, 96.67it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  38%|███▊      | 3/8 [00:00<00:00, 98.45it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  38%|███▊      | 3/8 [00:00<00:00, 97.80it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  50%|█████     | 4/8 [00:00<00:00, 98.87it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  50%|█████     | 4/8 [00:00<00:00, 98.36it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  62%|██████▎   | 5/8 [00:00<00:00, 99.29it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  62%|██████▎   | 5/8 [00:00<00:00, 98.89it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  75%|███████▌  | 6/8 [00:00<00:00, 99.27it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  75%|███████▌  | 6/8 [00:00<00:00, 98.93it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  88%|████████▊ | 7/8 [00:00<00:00, 98.81it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22:  88%|████████▊ | 7/8 [00:00<00:00, 98.49it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 100.09it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 99.80it/s, v_num=Maps, val_loss=3.670, train_loss=0.983]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 86.15it/s, v_num=Maps, val_loss=3.380, train_loss=0.983]
Epoch 22: 100%|██████████| 8/8 [00:00<00:00, 85.59it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 22:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  12%|█▎        | 1/8 [00:00<00:00, 101.40it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  12%|█▎        | 1/8 [00:00<00:00, 99.14it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  25%|██▌       | 2/8 [00:00<00:00, 100.74it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  25%|██▌       | 2/8 [00:00<00:00, 99.59it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  38%|███▊      | 3/8 [00:00<00:00, 99.32it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  38%|███▊      | 3/8 [00:00<00:00, 98.63it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  50%|█████     | 4/8 [00:00<00:00, 99.51it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  50%|█████     | 4/8 [00:00<00:00, 99.01it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  62%|██████▎   | 5/8 [00:00<00:00, 99.90it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  62%|██████▎   | 5/8 [00:00<00:00, 99.49it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  75%|███████▌  | 6/8 [00:00<00:00, 99.91it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  75%|███████▌  | 6/8 [00:00<00:00, 99.57it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  88%|████████▊ | 7/8 [00:00<00:00, 100.15it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23:  88%|████████▊ | 7/8 [00:00<00:00, 99.85it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 100.65it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 100.35it/s, v_num=Maps, val_loss=3.380, train_loss=0.618]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 86.47it/s, v_num=Maps, val_loss=3.410, train_loss=0.618]
Epoch 23: 100%|██████████| 8/8 [00:00<00:00, 85.89it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 23:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  12%|█▎        | 1/8 [00:00<00:00, 97.81it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  12%|█▎        | 1/8 [00:00<00:00, 95.89it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  25%|██▌       | 2/8 [00:00<00:00, 98.51it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  25%|██▌       | 2/8 [00:00<00:00, 97.52it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  38%|███▊      | 3/8 [00:00<00:00, 99.10it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  38%|███▊      | 3/8 [00:00<00:00, 98.43it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  50%|█████     | 4/8 [00:00<00:00, 98.99it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  50%|█████     | 4/8 [00:00<00:00, 98.48it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  62%|██████▎   | 5/8 [00:00<00:00, 98.03it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  62%|██████▎   | 5/8 [00:00<00:00, 97.58it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  75%|███████▌  | 6/8 [00:00<00:00, 98.22it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  75%|███████▌  | 6/8 [00:00<00:00, 97.85it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  88%|████████▊ | 7/8 [00:00<00:00, 98.53it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24:  88%|████████▊ | 7/8 [00:00<00:00, 98.21it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 99.60it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 99.33it/s, v_num=Maps, val_loss=3.410, train_loss=0.690]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 85.62it/s, v_num=Maps, val_loss=3.430, train_loss=0.690]
Epoch 24: 100%|██████████| 8/8 [00:00<00:00, 85.08it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 24:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  12%|█▎        | 1/8 [00:00<00:00, 94.02it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  12%|█▎        | 1/8 [00:00<00:00, 92.18it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  25%|██▌       | 2/8 [00:00<00:00, 96.42it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  25%|██▌       | 2/8 [00:00<00:00, 95.44it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  38%|███▊      | 3/8 [00:00<00:00, 97.09it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  38%|███▊      | 3/8 [00:00<00:00, 96.44it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  50%|█████     | 4/8 [00:00<00:00, 97.69it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  50%|█████     | 4/8 [00:00<00:00, 97.19it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  62%|██████▎   | 5/8 [00:00<00:00, 98.08it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  62%|██████▎   | 5/8 [00:00<00:00, 97.69it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  75%|███████▌  | 6/8 [00:00<00:00, 98.33it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  75%|███████▌  | 6/8 [00:00<00:00, 97.99it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  88%|████████▊ | 7/8 [00:00<00:00, 97.87it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25:  88%|████████▊ | 7/8 [00:00<00:00, 97.58it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 99.09it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 98.83it/s, v_num=Maps, val_loss=3.430, train_loss=0.583]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 84.98it/s, v_num=Maps, val_loss=3.530, train_loss=0.583]
Epoch 25: 100%|██████████| 8/8 [00:00<00:00, 84.42it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 25:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  12%|█▎        | 1/8 [00:00<00:00, 99.73it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  12%|█▎        | 1/8 [00:00<00:00, 97.51it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  25%|██▌       | 2/8 [00:00<00:00, 99.14it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  25%|██▌       | 2/8 [00:00<00:00, 98.09it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  38%|███▊      | 3/8 [00:00<00:00, 97.52it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  38%|███▊      | 3/8 [00:00<00:00, 96.86it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  50%|█████     | 4/8 [00:00<00:00, 97.97it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  50%|█████     | 4/8 [00:00<00:00, 97.47it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  62%|██████▎   | 5/8 [00:00<00:00, 98.57it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  62%|██████▎   | 5/8 [00:00<00:00, 98.17it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  75%|███████▌  | 6/8 [00:00<00:00, 98.90it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  75%|███████▌  | 6/8 [00:00<00:00, 98.57it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  88%|████████▊ | 7/8 [00:00<00:00, 98.93it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26:  88%|████████▊ | 7/8 [00:00<00:00, 98.64it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 99.63it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 99.37it/s, v_num=Maps, val_loss=3.530, train_loss=0.508]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 85.79it/s, v_num=Maps, val_loss=3.680, train_loss=0.508]
Epoch 26: 100%|██████████| 8/8 [00:00<00:00, 85.24it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 26:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  12%|█▎        | 1/8 [00:00<00:00, 97.11it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  12%|█▎        | 1/8 [00:00<00:00, 95.16it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  25%|██▌       | 2/8 [00:00<00:00, 97.46it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  25%|██▌       | 2/8 [00:00<00:00, 96.36it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  38%|███▊      | 3/8 [00:00<00:00, 97.99it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  38%|███▊      | 3/8 [00:00<00:00, 97.32it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  50%|█████     | 4/8 [00:00<00:00, 98.68it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  50%|█████     | 4/8 [00:00<00:00, 98.12it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  62%|██████▎   | 5/8 [00:00<00:00, 98.45it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  62%|██████▎   | 5/8 [00:00<00:00, 98.04it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  75%|███████▌  | 6/8 [00:00<00:00, 98.69it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  75%|███████▌  | 6/8 [00:00<00:00, 98.36it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  88%|████████▊ | 7/8 [00:00<00:00, 98.93it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27:  88%|████████▊ | 7/8 [00:00<00:00, 98.64it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 100.11it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 99.85it/s, v_num=Maps, val_loss=3.680, train_loss=0.470]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 86.18it/s, v_num=Maps, val_loss=3.250, train_loss=0.470]
Epoch 27: 100%|██████████| 8/8 [00:00<00:00, 85.62it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 27:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  12%|█▎        | 1/8 [00:00<00:00, 96.98it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  12%|█▎        | 1/8 [00:00<00:00, 94.79it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  25%|██▌       | 2/8 [00:00<00:00, 98.37it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  25%|██▌       | 2/8 [00:00<00:00, 97.28it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  38%|███▊      | 3/8 [00:00<00:00, 98.58it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  38%|███▊      | 3/8 [00:00<00:00, 97.83it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  50%|█████     | 4/8 [00:00<00:00, 99.09it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  50%|█████     | 4/8 [00:00<00:00, 98.54it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  62%|██████▎   | 5/8 [00:00<00:00, 99.21it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  62%|██████▎   | 5/8 [00:00<00:00, 98.77it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  75%|███████▌  | 6/8 [00:00<00:00, 99.36it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  75%|███████▌  | 6/8 [00:00<00:00, 98.98it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  88%|████████▊ | 7/8 [00:00<00:00, 99.41it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28:  88%|████████▊ | 7/8 [00:00<00:00, 99.08it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 100.12it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 99.86it/s, v_num=Maps, val_loss=3.250, train_loss=0.566]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 85.99it/s, v_num=Maps, val_loss=3.700, train_loss=0.566]
Epoch 28: 100%|██████████| 8/8 [00:00<00:00, 85.42it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 28:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  12%|█▎        | 1/8 [00:00<00:00, 99.73it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  12%|█▎        | 1/8 [00:00<00:00, 97.74it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  25%|██▌       | 2/8 [00:00<00:00, 99.70it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  25%|██▌       | 2/8 [00:00<00:00, 98.58it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  38%|███▊      | 3/8 [00:00<00:00, 98.64it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  38%|███▊      | 3/8 [00:00<00:00, 97.96it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  50%|█████     | 4/8 [00:00<00:00, 99.13it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  50%|█████     | 4/8 [00:00<00:00, 98.61it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  62%|██████▎   | 5/8 [00:00<00:00, 99.43it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  62%|██████▎   | 5/8 [00:00<00:00, 99.02it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  75%|███████▌  | 6/8 [00:00<00:00, 99.71it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  75%|███████▌  | 6/8 [00:00<00:00, 99.33it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  88%|████████▊ | 7/8 [00:00<00:00, 99.80it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29:  88%|████████▊ | 7/8 [00:00<00:00, 99.48it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 100.30it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 100.04it/s, v_num=Maps, val_loss=3.700, train_loss=0.618]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 86.21it/s, v_num=Maps, val_loss=3.570, train_loss=0.618]
Epoch 29: 100%|██████████| 8/8 [00:00<00:00, 85.65it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 29:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  12%|█▎        | 1/8 [00:00<00:00, 100.36it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  12%|█▎        | 1/8 [00:00<00:00, 98.34it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  25%|██▌       | 2/8 [00:00<00:00, 100.09it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  25%|██▌       | 2/8 [00:00<00:00, 99.07it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  38%|███▊      | 3/8 [00:00<00:00, 100.28it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  38%|███▊      | 3/8 [00:00<00:00, 99.59it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  50%|█████     | 4/8 [00:00<00:00, 99.57it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  50%|█████     | 4/8 [00:00<00:00, 99.00it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  62%|██████▎   | 5/8 [00:00<00:00, 98.74it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  62%|██████▎   | 5/8 [00:00<00:00, 98.30it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  75%|███████▌  | 6/8 [00:00<00:00, 99.08it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  75%|███████▌  | 6/8 [00:00<00:00, 98.73it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  88%|████████▊ | 7/8 [00:00<00:00, 99.14it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30:  88%|████████▊ | 7/8 [00:00<00:00, 98.83it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 100.36it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 100.11it/s, v_num=Maps, val_loss=3.570, train_loss=0.587]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 86.16it/s, v_num=Maps, val_loss=3.270, train_loss=0.587]
Epoch 30: 100%|██████████| 8/8 [00:00<00:00, 85.57it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 30:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:   0%|          | 0/8 [00:00<?, ?it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  12%|█▎        | 1/8 [00:00<00:00, 93.14it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  12%|█▎        | 1/8 [00:00<00:00, 91.28it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  25%|██▌       | 2/8 [00:00<00:00, 96.30it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  25%|██▌       | 2/8 [00:00<00:00, 95.34it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  38%|███▊      | 3/8 [00:00<00:00, 97.44it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  38%|███▊      | 3/8 [00:00<00:00, 96.75it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  50%|█████     | 4/8 [00:00<00:00, 97.90it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  50%|█████     | 4/8 [00:00<00:00, 97.14it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  62%|██████▎   | 5/8 [00:00<00:00, 97.50it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  62%|██████▎   | 5/8 [00:00<00:00, 97.10it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  75%|███████▌  | 6/8 [00:00<00:00, 97.60it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  75%|███████▌  | 6/8 [00:00<00:00, 97.27it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  88%|████████▊ | 7/8 [00:00<00:00, 96.54it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31:  88%|████████▊ | 7/8 [00:00<00:00, 96.26it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 98.00it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 97.75it/s, v_num=Maps, val_loss=3.270, train_loss=0.593]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 84.22it/s, v_num=Maps, val_loss=3.310, train_loss=0.593]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 83.68it/s, v_num=Maps, val_loss=3.310, train_loss=0.484]
Epoch 31: 100%|██████████| 8/8 [00:00<00:00, 83.11it/s, v_num=Maps, val_loss=3.310, train_loss=0.484]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
     Validate metric           DataLoader 0
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
         MAE_val            1.2231143712997437
         R2_val             0.5928548574447632
        val_loss             3.309732675552368
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

7. Plotting the results of the second model 📊

reals_preds_model_2 = RealsVsPreds.from_final_val_data(model_2_list)

plt.show()

8. Comparing the results of the two models 📈

Let the ultimate showdown begin! We’re comparing the results of our two models. We’re using the ModelComparison class to compare the results of the two models. This class takes the trained models as an input and returns a plot of the results of the two models and a Pandas DataFrame of the metrics of the two models.

comparison_plot, metrics_dataframe = ModelComparison.from_final_val_data(
    all_trained_models
)

plt.show()

9. Saving the metrics of the two models 💾

Time to archive our models’ achievements. We’re using the ModelComparison class to save the metrics of the two models.

metrics_dataframe

	R2	MAE
Method
Tabular1 uni-modal	0.645842	1.281480
Concatenating tabular feature maps	0.592855	1.223114