Using External Test Data

Let’s learn how to use external test data with Fusilli! Some guidance can also be found in the Data Loading section of the documentation.

The extra step that we need to take is to provide the paths to the test data files to the functions that create evaluation figures: from_new_data, from_new_data, from_new_data.

Note

It is not possible to use external test data with graph-based fusion models.

We’ll rush through the first few steps of the training and testing process, as they are covered in more detail in the other example notebooks.

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

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

# sphinx_gallery_thumbnail_number = -1


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

fusion_models = import_chosen_fusion_models(model_conditions)

# Regression task
prediction_task = "regression"

# Set the batch size
batch_size = 48

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

for dir in output_paths.values():
    os.makedirs(dir, 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))

data_paths = {
    "tabular1": "../../_static/mnist_data/mnist1_regression.csv",
    "tabular2": "../../_static/mnist_data/mnist2_regression.csv",
    "image": "",
}

external_data_paths = {
    "tabular1": "../../_static/mnist_data/mnist1_regression_test.csv",
    "tabular2": "../../_static/mnist_data/mnist2_regression_test.csv",
    "image": "",
}

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, )

# train and test
trained_model = train_and_save_models(
    data_module=dm,
    fusion_model=fusion_model,
    enable_checkpointing=True,
    show_loss_plot=True,
)
Loss Curves for ConcatTabularFeatureMaps
Imported methods:
['Concatenating tabular feature maps']
Method name: Concatenating tabular feature maps
Modality type: tabular_tabular
Fusion type: operation

Training: |          | 0/? [00:00<?, ?it/s]
Training:   0%|          | 0/9 [00:00<?, ?it/s]
Epoch 0:   0%|          | 0/9 [00:00<?, ?it/s]
Epoch 0:  11%|β–ˆ         | 1/9 [00:00<00:00, 63.90it/s]
Epoch 0:  11%|β–ˆ         | 1/9 [00:00<00:00, 62.61it/s, v_num=Maps]
Epoch 0:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 71.01it/s, v_num=Maps]
Epoch 0:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 70.24it/s, v_num=Maps]
Epoch 0:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 74.44it/s, v_num=Maps]
Epoch 0:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 73.87it/s, v_num=Maps]
Epoch 0:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 76.43it/s, v_num=Maps]
Epoch 0:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 75.98it/s, v_num=Maps]
Epoch 0:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 77.69it/s, v_num=Maps]
Epoch 0:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 77.32it/s, v_num=Maps]
Epoch 0:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 78.63it/s, v_num=Maps]
Epoch 0:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 78.32it/s, v_num=Maps]
Epoch 0:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 78.82it/s, v_num=Maps]
Epoch 0:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 78.54it/s, v_num=Maps]
Epoch 0:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.49it/s, v_num=Maps]
Epoch 0:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.25it/s, v_num=Maps]
Epoch 0: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.82it/s, v_num=Maps]
Epoch 0: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.61it/s, v_num=Maps]
Epoch 0: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.79it/s, v_num=Maps, val_loss=8.010]
Epoch 0: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.30it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 0:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.90it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.99it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.43it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.39it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.65it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.95it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.14it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 78.55it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.87it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.40it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.78it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.43it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 80.24it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.93it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.38it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.10it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.28it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.00it/s, v_num=Maps, val_loss=8.010, train_loss=10.80]
Epoch 1: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 73.13it/s, v_num=Maps, val_loss=5.910, train_loss=10.80]
Epoch 1: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.61it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 1:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.55it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.61it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 75.39it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.44it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 76.75it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 78.35it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 77.83it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.24it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 78.83it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.21it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 78.85it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.45it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.15it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.76it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.49it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.87it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.63it/s, v_num=Maps, val_loss=5.910, train_loss=5.630]
Epoch 2: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.90it/s, v_num=Maps, val_loss=5.960, train_loss=5.630]
Epoch 2: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.39it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 2:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.25it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.35it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.47it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 75.46it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.10it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.41it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.18it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 78.65it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 78.68it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 78.25it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 77.85it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 77.50it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 77.95it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 77.65it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 78.38it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 78.12it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.50it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.26it/s, v_num=Maps, val_loss=5.960, train_loss=4.500]
Epoch 3: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.88it/s, v_num=Maps, val_loss=3.980, train_loss=4.500]
Epoch 3: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.39it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 3:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.68it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.34it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.00it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.99it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.41it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.73it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.97it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.46it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.13it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.72it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 81.26it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.91it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 81.77it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 81.47it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 81.62it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 81.20it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 82.30it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 82.07it/s, v_num=Maps, val_loss=3.980, train_loss=3.700]
Epoch 4: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 74.00it/s, v_num=Maps, val_loss=3.630, train_loss=3.700]
Epoch 4: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 73.33it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 4:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.92it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  11%|β–ˆ         | 1/9 [00:00<00:00, 71.10it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.04it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.07it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.54it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.86it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.36it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.90it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.35it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.93it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.03it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.67it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 80.09it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.78it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.08it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.80it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.79it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.54it/s, v_num=Maps, val_loss=3.630, train_loss=2.830]
Epoch 5: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.42it/s, v_num=Maps, val_loss=3.430, train_loss=2.830]
Epoch 5: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.89it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 5:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.33it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.45it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.20it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.21it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.85it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.16it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.94it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.41it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.05it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.62it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.46it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.10it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 80.54it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 80.22it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.68it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.40it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.61it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.33it/s, v_num=Maps, val_loss=3.430, train_loss=1.980]
Epoch 6: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 73.39it/s, v_num=Maps, val_loss=4.680, train_loss=1.980]
Epoch 6: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.86it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 6:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.41it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.51it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.32it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.30it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.70it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.99it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.37it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.77it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.93it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.45it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.79it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.45it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 81.05it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 80.75it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.90it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 80.63it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.33it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.09it/s, v_num=Maps, val_loss=4.680, train_loss=1.660]
Epoch 7: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 73.16it/s, v_num=Maps, val_loss=4.170, train_loss=1.660]
Epoch 7: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.65it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 7:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.05it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  11%|β–ˆ         | 1/9 [00:00<00:00, 71.26it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.09it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.13it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.56it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.90it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.22it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.71it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 80.29it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.86it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 78.65it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 78.31it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 78.92it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 78.61it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 78.87it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 78.61it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.74it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.51it/s, v_num=Maps, val_loss=4.170, train_loss=1.460]
Epoch 8: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.98it/s, v_num=Maps, val_loss=3.300, train_loss=1.460]
Epoch 8: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.50it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 8:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.66it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.79it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.16it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.14it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.20it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.50it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.13it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.60it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.73it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.30it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 81.28it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 80.88it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 81.42it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 81.07it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 81.65it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 81.37it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 82.62it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 82.39it/s, v_num=Maps, val_loss=3.300, train_loss=1.350]
Epoch 9: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 74.13it/s, v_num=Maps, val_loss=5.160, train_loss=1.350]
Epoch 9: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 73.59it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 9:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.26it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.47it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.96it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.04it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.68it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.05it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.26it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.76it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.28it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.88it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.53it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.18it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.86it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.55it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.26it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.99it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.43it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.19it/s, v_num=Maps, val_loss=5.160, train_loss=1.030]
Epoch 10: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.73it/s, v_num=Maps, val_loss=3.800, train_loss=1.030]
Epoch 10: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.15it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 10:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.36it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.41it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.41it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.42it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.28it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.60it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.45it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.93it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.09it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.67it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.96it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.61it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.42it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.11it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.68it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.41it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.52it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.28it/s, v_num=Maps, val_loss=3.800, train_loss=1.150]
Epoch 11: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.58it/s, v_num=Maps, val_loss=3.230, train_loss=1.150]
Epoch 11: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.01it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 11:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  11%|β–ˆ         | 1/9 [00:00<00:00, 81.39it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.46it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 84.37it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.38it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 86.21it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.54it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 87.30it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.78it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.72it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.29it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.65it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.30it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 88.01it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.71it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 88.38it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 88.11it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 89.46it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 89.18it/s, v_num=Maps, val_loss=3.230, train_loss=0.962]
Epoch 12: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.40it/s, v_num=Maps, val_loss=4.420, train_loss=0.962]
Epoch 12: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.82it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 12:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.17it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.46it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.33it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.40it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.13it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.49it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.78it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.28it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.23it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.82it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.45it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.11it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.11it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.81it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.54it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.28it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.60it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.37it/s, v_num=Maps, val_loss=4.420, train_loss=0.825]
Epoch 13: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.86it/s, v_num=Maps, val_loss=2.830, train_loss=0.825]
Epoch 13: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.31it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 13:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.92it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.62it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.98it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.96it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.65it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.98it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.86it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.34it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.45it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.02it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.32it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.96it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.72it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.40it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.85it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.58it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.91it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.67it/s, v_num=Maps, val_loss=2.830, train_loss=0.749]
Epoch 14: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.93it/s, v_num=Maps, val_loss=3.920, train_loss=0.749]
Epoch 14: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.35it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 14:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.04it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.18it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.93it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.95it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.99it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.33it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.41it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.91it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.40it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.99it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.23it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.86it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.69it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.39it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.13it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.87it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.35it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.11it/s, v_num=Maps, val_loss=3.920, train_loss=0.809]
Epoch 15: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.55it/s, v_num=Maps, val_loss=3.890, train_loss=0.809]
Epoch 15: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.99it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 15:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.31it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.04it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.03it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.82it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.13it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.96it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.45it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.93it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.52it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.06it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.72it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.70it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.41it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.28it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.02it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.29it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.04it/s, v_num=Maps, val_loss=3.890, train_loss=0.872]
Epoch 16: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.28it/s, v_num=Maps, val_loss=2.550, train_loss=0.872]
Epoch 16: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.67it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 16:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.03it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.06it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.91it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.90it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.71it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.02it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.94it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.41it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.53it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.09it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.06it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.68it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.30it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.98it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.56it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.28it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.54it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.25it/s, v_num=Maps, val_loss=2.550, train_loss=0.865]
Epoch 17: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.00it/s, v_num=Maps, val_loss=3.080, train_loss=0.865]
Epoch 17: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 17:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.06it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.07it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.17it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.13it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.16it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.02it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.85it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.38it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.57it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.19it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.16it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 81.83it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.08it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.81it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.85it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.59it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.28it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.06it/s, v_num=Maps, val_loss=3.080, train_loss=0.638]
Epoch 18: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.99it/s, v_num=Maps, val_loss=2.890, train_loss=0.638]
Epoch 18: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.47it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 18:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.68it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.48it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.51it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.68it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.01it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.03it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.52it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.75it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.32it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.14it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.79it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.00it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.74it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.33it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.02it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.22it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.99it/s, v_num=Maps, val_loss=2.890, train_loss=0.532]
Epoch 19: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.17it/s, v_num=Maps, val_loss=3.870, train_loss=0.532]
Epoch 19: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.63it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 19:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.52it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.64it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.58it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.57it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.59it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.82it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.39it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.92it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.25it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.85it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.42it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.09it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.82it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.53it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.10it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.84it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.90it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.65it/s, v_num=Maps, val_loss=3.870, train_loss=0.483]
Epoch 20: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.73it/s, v_num=Maps, val_loss=3.030, train_loss=0.483]
Epoch 20: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.16it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 20:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.74it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.81it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.99it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.00it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.90it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.22it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.90it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.17it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.81it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.38it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.37it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.03it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.12it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.83it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.66it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.40it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.70it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.47it/s, v_num=Maps, val_loss=3.030, train_loss=0.471]
Epoch 21: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.15it/s, v_num=Maps, val_loss=2.670, train_loss=0.471]
Epoch 21: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.61it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 21:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.40it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.47it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.45it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.43it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.76it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.01it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.50it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.00it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.59it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.07it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.73it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.38it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.08it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.34it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.95it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.93it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.69it/s, v_num=Maps, val_loss=2.670, train_loss=0.459]
Epoch 22: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.11it/s, v_num=Maps, val_loss=3.760, train_loss=0.459]
Epoch 22: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.57it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 22:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.62it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.72it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.51it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.50it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.68it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.99it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.21it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.69it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.15it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.68it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.60it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.23it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.82it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.52it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.85it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.58it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.91it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.64it/s, v_num=Maps, val_loss=3.760, train_loss=0.631]
Epoch 23: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.42it/s, v_num=Maps, val_loss=3.280, train_loss=0.631]
Epoch 23: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 74.88it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 23:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.56it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.03it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 66.11it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 65.18it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 70.95it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 70.41it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 73.62it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 73.16it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 75.50it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 75.15it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 76.12it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 75.83it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 77.29it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 76.99it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 78.12it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 77.89it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.39it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.18it/s, v_num=Maps, val_loss=3.280, train_loss=0.484]
Epoch 24: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.81it/s, v_num=Maps, val_loss=2.510, train_loss=0.484]
Epoch 24: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.34it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 24:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.94it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.10it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.37it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.38it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.15it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.45it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.54it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.03it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.89it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.49it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.24it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.90it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.01it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.72it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.54it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.29it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.89it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.66it/s, v_num=Maps, val_loss=2.510, train_loss=0.414]
Epoch 25: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.45it/s, v_num=Maps, val_loss=2.880, train_loss=0.414]
Epoch 25: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.92it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 25:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.70it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.84it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.72it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.77it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.96it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.31it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.22it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.72it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.77it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.37it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.98it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.62it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.58it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.28it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.04it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.77it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.80it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.56it/s, v_num=Maps, val_loss=2.880, train_loss=0.399]
Epoch 26: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.99it/s, v_num=Maps, val_loss=3.060, train_loss=0.399]
Epoch 26: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.44it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 26:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  11%|β–ˆ         | 1/9 [00:00<00:00, 81.00it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.06it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.79it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.81it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.46it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.78it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.39it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.86it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.98it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.56it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.89it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.54it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.29it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.99it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.58it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.31it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.81it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.57it/s, v_num=Maps, val_loss=3.060, train_loss=0.317]
Epoch 27: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.85it/s, v_num=Maps, val_loss=3.630, train_loss=0.317]
Epoch 27: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.29it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 27:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.84it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.15it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.61it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.68it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.46it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.81it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.23it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.74it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.62it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.21it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.78it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.45it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.34it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.04it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.84it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.57it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.11it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.88it/s, v_num=Maps, val_loss=3.630, train_loss=0.388]
Epoch 28: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.48it/s, v_num=Maps, val_loss=2.510, train_loss=0.388]
Epoch 28: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.93it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 28:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.61it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.67it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.66it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.63it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.21it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.53it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.36it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.84it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.12it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.70it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.10it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.70it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.42it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.09it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.56it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.28it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.48it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.22it/s, v_num=Maps, val_loss=2.510, train_loss=0.419]
Epoch 29: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.41it/s, v_num=Maps, val_loss=3.030, train_loss=0.419]
Epoch 29: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.85it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 29:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.52it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.65it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.28it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.30it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.52it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.86it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.89it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.38it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.71it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.29it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.78it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.43it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 88.09it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.78it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 88.47it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 88.20it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 89.63it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 89.39it/s, v_num=Maps, val_loss=3.030, train_loss=0.441]
Epoch 30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.55it/s, v_num=Maps, val_loss=2.670, train_loss=0.441]
Epoch 30: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.97it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 30:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.13it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.17it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.04it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.04it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.05it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.39it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.28it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.77it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.96it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.49it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.85it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.50it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.28it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.97it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.54it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.27it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.67it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.40it/s, v_num=Maps, val_loss=2.670, train_loss=0.475]
Epoch 31: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.71it/s, v_num=Maps, val_loss=3.120, train_loss=0.475]
Epoch 31: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.10it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 31:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.87it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.98it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.49it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.50it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.59it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.92it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.82it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.30it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.47it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.05it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.37it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.01it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.81it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.51it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.02it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.75it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.00it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.75it/s, v_num=Maps, val_loss=3.120, train_loss=0.618]
Epoch 32: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.08it/s, v_num=Maps, val_loss=3.680, train_loss=0.618]
Epoch 32: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.52it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 32:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.30it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.40it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.83it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.84it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.99it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.35it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.30it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.72it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.91it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.51it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.29it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.96it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.09it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.80it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.65it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.39it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.97it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.74it/s, v_num=Maps, val_loss=3.680, train_loss=0.421]
Epoch 33: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.31it/s, v_num=Maps, val_loss=2.690, train_loss=0.421]
Epoch 33: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.75it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 33:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.32it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.23it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.89it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.91it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.84it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.17it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.92it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.40it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.33it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.92it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.21it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.87it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.08it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.70it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.24it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.99it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.30it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.07it/s, v_num=Maps, val_loss=2.690, train_loss=0.572]
Epoch 34: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.40it/s, v_num=Maps, val_loss=3.460, train_loss=0.572]
Epoch 34: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.86it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 34:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.47it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.55it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.86it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.84it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.81it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.13it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.19it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.68it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.07it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.64it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.71it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.37it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.71it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.41it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.27it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.01it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.15it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.92it/s, v_num=Maps, val_loss=3.460, train_loss=0.690]
Epoch 35: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.23it/s, v_num=Maps, val_loss=3.140, train_loss=0.690]
Epoch 35: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.69it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 35:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.77it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.88it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.60it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.61it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.69it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.02it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.80it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.27it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.47it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.05it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.07it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.72it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.42it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.13it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.05it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.80it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.31it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.08it/s, v_num=Maps, val_loss=3.140, train_loss=0.442]
Epoch 36: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.48it/s, v_num=Maps, val_loss=2.480, train_loss=0.442]
Epoch 36: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.90it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 36:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.48it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.59it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.26it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.30it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.12it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.41it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.64it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.14it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.80it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.39it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.94it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.60it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.53it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.23it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.70it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.44it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.75it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.51it/s, v_num=Maps, val_loss=2.480, train_loss=0.371]
Epoch 37: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.50it/s, v_num=Maps, val_loss=2.700, train_loss=0.371]
Epoch 37: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.93it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 37:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.00it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.40it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.65it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.68it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.67it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.00it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.18it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.68it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.93it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.53it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.48it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.15it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.95it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.67it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.88it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.63it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.61it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.37it/s, v_num=Maps, val_loss=2.700, train_loss=0.403]
Epoch 38: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.84it/s, v_num=Maps, val_loss=2.480, train_loss=0.403]
Epoch 38: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.29it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 38:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.15it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.22it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.46it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.43it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.23it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.55it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.74it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.23it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.70it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.29it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.55it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.20it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.13it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.78it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.55it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.28it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.40it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.16it/s, v_num=Maps, val_loss=2.480, train_loss=0.567]
Epoch 39: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.31it/s, v_num=Maps, val_loss=2.870, train_loss=0.567]
Epoch 39: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.76it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 39:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.77it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.79it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.79it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.86it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.88it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 79.26it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.68it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.20it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.99it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.60it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.46it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.12it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.19it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.90it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.89it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.64it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.27it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.04it/s, v_num=Maps, val_loss=2.870, train_loss=0.590]
Epoch 40: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.78it/s, v_num=Maps, val_loss=4.020, train_loss=0.590]
Epoch 40: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.23it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 40:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.67it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.76it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.71it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.72it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.85it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.18it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.16it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.64it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.99it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.57it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.98it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.63it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.42it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.11it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.70it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.43it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.84it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.60it/s, v_num=Maps, val_loss=4.020, train_loss=0.525]
Epoch 41: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.94it/s, v_num=Maps, val_loss=2.850, train_loss=0.525]
Epoch 41: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.37it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 41:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.47it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.59it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.21it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.22it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.30it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.62it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.61it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.10it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.54it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.08it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.80it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.46it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.26it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.94it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.13it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.85it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.19it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.94it/s, v_num=Maps, val_loss=2.850, train_loss=0.463]
Epoch 42: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.25it/s, v_num=Maps, val_loss=2.780, train_loss=0.463]
Epoch 42: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.66it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 42:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.88it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.73it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.09it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.12it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.18it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.54it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.12it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.63it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.30it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.90it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.30it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.95it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.89it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.59it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.83it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.55it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.92it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.68it/s, v_num=Maps, val_loss=2.780, train_loss=0.439]
Epoch 43: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.27it/s, v_num=Maps, val_loss=4.330, train_loss=0.439]
Epoch 43: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.68it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 43:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.70it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.75it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.43it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.44it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.75it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.10it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.45it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.90it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.48it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.08it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.69it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.35it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.20it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.90it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.54it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.27it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.68it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.44it/s, v_num=Maps, val_loss=4.330, train_loss=0.526]
Epoch 44: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.75it/s, v_num=Maps, val_loss=2.490, train_loss=0.526]
Epoch 44: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.18it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 44:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.80it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.89it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.17it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.18it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.10it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.41it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.92it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.39it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.67it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.25it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.58it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.23it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.11it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.81it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.52it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.25it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.65it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.40it/s, v_num=Maps, val_loss=2.490, train_loss=0.701]
Epoch 45: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.72it/s, v_num=Maps, val_loss=2.610, train_loss=0.701]
Epoch 45: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.11it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 45:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.11it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.11it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.79it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.81it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.64it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.97it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.10it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.59it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.93it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.52it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.10it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.76it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.53it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.19it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.48it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.20it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.54it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.30it/s, v_num=Maps, val_loss=2.610, train_loss=0.634]
Epoch 46: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.61it/s, v_num=Maps, val_loss=3.130, train_loss=0.634]
Epoch 46: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.04it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 46:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.55it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.28it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.63it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.64it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.57it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.90it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.96it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.44it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.72it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.29it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.60it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.25it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.07it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.77it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.35it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.07it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.47it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.22it/s, v_num=Maps, val_loss=3.130, train_loss=0.462]
Epoch 47: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.45it/s, v_num=Maps, val_loss=2.320, train_loss=0.462]
Epoch 47: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.86it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 47:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.21it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.31it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.71it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.70it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.00it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.32it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.50it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.99it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.56it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.15it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.97it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.64it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.52it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.23it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.97it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.71it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.34it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.11it/s, v_num=Maps, val_loss=2.320, train_loss=0.448]
Epoch 48: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.88it/s, v_num=Maps, val_loss=2.420, train_loss=0.448]
Epoch 48: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.34it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 48:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.64it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.74it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.99it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.01it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.14it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.46it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.24it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.72it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.04it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.62it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.09it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.75it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.53it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.21it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.76it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.49it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.84it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.56it/s, v_num=Maps, val_loss=2.420, train_loss=0.418]
Epoch 49: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.30it/s, v_num=Maps, val_loss=2.900, train_loss=0.418]
Epoch 49: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.75it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 49:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.03it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.22it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.87it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.91it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.89it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.26it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.80it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.32it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.81it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.41it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.75it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.41it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.52it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.23it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.73it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.37it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.69it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.44it/s, v_num=Maps, val_loss=2.900, train_loss=0.507]
Epoch 50: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.95it/s, v_num=Maps, val_loss=2.960, train_loss=0.507]
Epoch 50: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.40it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 50:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.55it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.17it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.62it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.63it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.04it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.39it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.76it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.27it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.80it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.38it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.81it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.47it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.22it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.93it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.46it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.21it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.63it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.41it/s, v_num=Maps, val_loss=2.960, train_loss=0.444]
Epoch 51: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.30it/s, v_num=Maps, val_loss=2.350, train_loss=0.444]
Epoch 51: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.77it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 51:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.24it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.36it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.23it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.23it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.32it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.54it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.49it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.97it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.13it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.70it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.00it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.64it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.09it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.79it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.59it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.33it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.81it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.57it/s, v_num=Maps, val_loss=2.350, train_loss=0.384]
Epoch 52: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.85it/s, v_num=Maps, val_loss=2.740, train_loss=0.384]
Epoch 52: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.30it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 52:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.18it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.28it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.01it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.06it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.07it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.42it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.47it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.90it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.51it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.10it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.32it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.98it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.78it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.49it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.50it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.25it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.83it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.58it/s, v_num=Maps, val_loss=2.740, train_loss=0.291]
Epoch 53: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.38it/s, v_num=Maps, val_loss=3.330, train_loss=0.291]
Epoch 53: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.84it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 53:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.98it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.51it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.28it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.39it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.39it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.76it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.29it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.81it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.49it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.10it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.77it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.43it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.43it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.10it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.00it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.75it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.37it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.14it/s, v_num=Maps, val_loss=3.330, train_loss=0.455]
Epoch 54: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.75it/s, v_num=Maps, val_loss=3.380, train_loss=0.455]
Epoch 54: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.19it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 54:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.89it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.10it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.05it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.09it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.29it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.63it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.58it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.08it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.00it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.61it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.05it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.72it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.95it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.66it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.64it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 84.38it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.90it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.67it/s, v_num=Maps, val_loss=3.380, train_loss=0.450]
Epoch 55: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.27it/s, v_num=Maps, val_loss=2.240, train_loss=0.450]
Epoch 55: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.71it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 55:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.35it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.45it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.12it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.13it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.27it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.59it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.23it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.72it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.06it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.63it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.89it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.54it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.40it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.10it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.01it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.75it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.30it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.07it/s, v_num=Maps, val_loss=2.240, train_loss=0.578]
Epoch 56: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.56it/s, v_num=Maps, val_loss=2.230, train_loss=0.578]
Epoch 56: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.00it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 56:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.76it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.77it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.07it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.06it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.98it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.28it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.14it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.61it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.96it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.54it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.00it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.66it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.71it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.42it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.17it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.90it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.43it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.19it/s, v_num=Maps, val_loss=2.230, train_loss=0.604]
Epoch 57: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.60it/s, v_num=Maps, val_loss=2.520, train_loss=0.604]
Epoch 57: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.05it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 57:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.72it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.81it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.74it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.75it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.53it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.87it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.82it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.29it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.60it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.18it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.63it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.28it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.16it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.86it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.68it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.42it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.02it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.77it/s, v_num=Maps, val_loss=2.520, train_loss=0.424]
Epoch 58: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.11it/s, v_num=Maps, val_loss=3.260, train_loss=0.424]
Epoch 58: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.53it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 58:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.65it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.65it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.47it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.46it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.19it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.45it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.22it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.68it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.37it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 84.93it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.92it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 84.56it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 85.20it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.90it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.67it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.41it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.00it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.73it/s, v_num=Maps, val_loss=3.260, train_loss=0.372]
Epoch 59: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.37it/s, v_num=Maps, val_loss=2.910, train_loss=0.372]
Epoch 59: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.82it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 59:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.23it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.31it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.71it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.71it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.84it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.17it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.92it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 84.39it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.74it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 85.33it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.94it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.60it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.35it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.05it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.86it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.60it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.90it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.66it/s, v_num=Maps, val_loss=2.910, train_loss=0.336]
Epoch 60: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.16it/s, v_num=Maps, val_loss=2.300, train_loss=0.336]
Epoch 60: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.62it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 60:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.08it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.10it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.12it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.12it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.13it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.45it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.22it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.69it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.87it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.44it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.72it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.36it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.27it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.97it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.73it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.46it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.88it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.64it/s, v_num=Maps, val_loss=2.300, train_loss=0.361]
Epoch 61: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.94it/s, v_num=Maps, val_loss=2.450, train_loss=0.361]
Epoch 61: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.34it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 61:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.22it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.25it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.66it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.67it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.41it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 83.72it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.68it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.15it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.47it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.04it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.22it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.86it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.76it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.46it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.27it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.01it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.58it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.34it/s, v_num=Maps, val_loss=2.450, train_loss=0.297]
Epoch 62: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.77it/s, v_num=Maps, val_loss=2.280, train_loss=0.297]
Epoch 62: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.21it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 62:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  11%|β–ˆ         | 1/9 [00:00<00:00, 81.04it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.07it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.52it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.48it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.09it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.39it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.84it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.31it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.51it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.08it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.14it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 85.77it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.41it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.11it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.44it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 86.17it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.35it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 87.11it/s, v_num=Maps, val_loss=2.280, train_loss=0.301]
Epoch 63: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.30it/s, v_num=Maps, val_loss=2.870, train_loss=0.301]
Epoch 63: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.76it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 63:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.56it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.60it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.04it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.03it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.06it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.38it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.35it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 85.81it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.05it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.58it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.96it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.60it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.26it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 86.95it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.71it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.45it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 89.00it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.76it/s, v_num=Maps, val_loss=2.870, train_loss=0.475]
Epoch 64: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.11it/s, v_num=Maps, val_loss=3.340, train_loss=0.475]
Epoch 64: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.54it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 64:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.20it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.47it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.62it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.70it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.81it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.13it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.36it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.86it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.30it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.84it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.72it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.39it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.63it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.34it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.28it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.02it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.69it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.46it/s, v_num=Maps, val_loss=3.340, train_loss=0.338]
Epoch 65: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.99it/s, v_num=Maps, val_loss=2.700, train_loss=0.338]
Epoch 65: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.43it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 65:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.69it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.82it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.48it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.48it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.79it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.13it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.04it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.54it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.35it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.95it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.83it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.51it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.66it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 84.37it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.29it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 85.04it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.65it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 86.42it/s, v_num=Maps, val_loss=2.700, train_loss=0.366]
Epoch 66: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.14it/s, v_num=Maps, val_loss=3.290, train_loss=0.366]
Epoch 66: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 77.59it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 66:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  11%|β–ˆ         | 1/9 [00:00<00:00, 80.32it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  11%|β–ˆ         | 1/9 [00:00<00:00, 78.42it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 83.75it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 82.79it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 85.62it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 84.95it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.66it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 86.07it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 87.30it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 86.87it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 87.12it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 86.76it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.50it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 87.19it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.67it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 87.39it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.33it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 88.09it/s, v_num=Maps, val_loss=3.290, train_loss=0.371]
Epoch 67: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 79.46it/s, v_num=Maps, val_loss=2.230, train_loss=0.371]
Epoch 67: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.90it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 67:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  11%|β–ˆ         | 1/9 [00:00<00:00, 76.47it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  11%|β–ˆ         | 1/9 [00:00<00:00, 74.70it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.59it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 78.68it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.59it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.94it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.12it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.64it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.92it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.52it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.43it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.10it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.10it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.81it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.76it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.50it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.00it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 84.77it/s, v_num=Maps, val_loss=2.230, train_loss=0.418]
Epoch 68: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.44it/s, v_num=Maps, val_loss=2.490, train_loss=0.418]
Epoch 68: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.92it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 68:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  11%|β–ˆ         | 1/9 [00:00<00:00, 70.69it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  11%|β–ˆ         | 1/9 [00:00<00:00, 69.14it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.60it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 75.27it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.71it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.13it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 80.62it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.98it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.79it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.42it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.41it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.05it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.28it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.00it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.94it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.69it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.23it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 85.00it/s, v_num=Maps, val_loss=2.490, train_loss=0.387]
Epoch 69: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.84it/s, v_num=Maps, val_loss=2.220, train_loss=0.387]
Epoch 69: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.31it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 69:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.46it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.54it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.27it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.29it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.23it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.59it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.26it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.77it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.61it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.13it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.39it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.06it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.30it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.01it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.59it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.34it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.79it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.57it/s, v_num=Maps, val_loss=2.220, train_loss=0.322]
Epoch 70: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.56it/s, v_num=Maps, val_loss=2.890, train_loss=0.322]
Epoch 70: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.05it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 70:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  11%|β–ˆ         | 1/9 [00:00<00:00, 79.58it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.70it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 81.56it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.57it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.68it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 82.02it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 83.47it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 82.95it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.78it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 83.36it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 83.32it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.97it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.52it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 83.23it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.61it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 83.33it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 84.44it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 84.21it/s, v_num=Maps, val_loss=2.890, train_loss=0.330]
Epoch 71: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.20it/s, v_num=Maps, val_loss=2.560, train_loss=0.330]
Epoch 71: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.66it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 71:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  11%|β–ˆ         | 1/9 [00:00<00:00, 77.66it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.83it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 80.44it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 79.51it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 81.57it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 80.92it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.89it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 81.32it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 82.17it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 81.78it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 82.10it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 81.78it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.51it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 82.23it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.83it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 82.58it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.78it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 83.56it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.73it/s, v_num=Maps, val_loss=2.560, train_loss=0.419]
Epoch 72: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 75.19it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 72:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  11%|β–ˆ         | 1/9 [00:00<00:00, 75.58it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.81it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 77.58it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 76.67it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 78.59it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.95it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 79.28it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 78.81it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.95it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 79.58it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.44it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 79.14it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.59it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 79.34it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.98it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 79.76it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 81.03it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 80.83it/s, v_num=Maps, val_loss=2.560, train_loss=0.338]
Epoch 73: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.92it/s, v_num=Maps, val_loss=2.310, train_loss=0.338]
Epoch 73: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.45it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 73:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  11%|β–ˆ         | 1/9 [00:00<00:00, 73.72it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  11%|β–ˆ         | 1/9 [00:00<00:00, 72.08it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 75.78it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 74.93it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 77.08it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 76.51it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 77.46it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 77.01it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 77.82it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 77.46it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 77.60it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 77.31it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 77.84it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 77.57it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 77.96it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 77.74it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.79it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 78.60it/s, v_num=Maps, val_loss=2.310, train_loss=0.293]
Epoch 74: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.71it/s, v_num=Maps, val_loss=2.410, train_loss=0.293]
Epoch 74: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 71.22it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 74:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  11%|β–ˆ         | 1/9 [00:00<00:00, 71.33it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  11%|β–ˆ         | 1/9 [00:00<00:00, 69.78it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 73.17it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 72.27it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 74.44it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 73.91it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 75.19it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 74.79it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 75.66it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 75.34it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 75.37it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 75.10it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 75.66it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 75.43it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 75.80it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 75.60it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.50it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 76.31it/s, v_num=Maps, val_loss=2.410, train_loss=0.348]
Epoch 75: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 69.62it/s, v_num=Maps, val_loss=2.390, train_loss=0.348]
Epoch 75: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 69.18it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 75:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  11%|β–ˆ         | 1/9 [00:00<00:00, 68.19it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  11%|β–ˆ         | 1/9 [00:00<00:00, 66.74it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 69.98it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 69.15it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 70.55it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 70.01it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 70.98it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 70.59it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 71.08it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 70.77it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 71.00it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 70.75it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 71.31it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 71.10it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 71.60it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 71.42it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.40it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 72.24it/s, v_num=Maps, val_loss=2.390, train_loss=0.443]
Epoch 76: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 66.20it/s, v_num=Maps, val_loss=2.070, train_loss=0.443]
Epoch 76: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 65.80it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 76:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  11%|β–ˆ         | 1/9 [00:00<00:00, 64.57it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  11%|β–ˆ         | 1/9 [00:00<00:00, 63.20it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 66.79it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 66.09it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 67.85it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 67.38it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 68.64it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 68.30it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 69.27it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 68.99it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 69.27it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 69.04it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 69.46it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 69.25it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 69.50it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 69.30it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 70.14it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 69.98it/s, v_num=Maps, val_loss=2.070, train_loss=0.354]
Epoch 77: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 64.33it/s, v_num=Maps, val_loss=2.930, train_loss=0.354]
Epoch 77: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 63.95it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 77:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  11%|β–ˆ         | 1/9 [00:00<00:00, 63.36it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  11%|β–ˆ         | 1/9 [00:00<00:00, 62.07it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 63.68it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 63.03it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 64.71it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 64.30it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 65.73it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 65.39it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 66.23it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 65.97it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 66.25it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 66.03it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 66.64it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 66.46it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 66.91it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 66.75it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 67.60it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 67.45it/s, v_num=Maps, val_loss=2.930, train_loss=0.449]
Epoch 78: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 62.23it/s, v_num=Maps, val_loss=2.540, train_loss=0.449]
Epoch 78: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 61.89it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 78:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  11%|β–ˆ         | 1/9 [00:00<00:00, 63.30it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  11%|β–ˆ         | 1/9 [00:00<00:00, 62.11it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 65.07it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 64.45it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 64.17it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 63.72it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 63.99it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 63.68it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 63.99it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 63.74it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 63.85it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 63.63it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 63.91it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 63.73it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 64.16it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 64.01it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 64.91it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 64.77it/s, v_num=Maps, val_loss=2.540, train_loss=0.361]
Epoch 79: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 59.69it/s, v_num=Maps, val_loss=2.210, train_loss=0.361]
Epoch 79: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 59.38it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 79:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  11%|β–ˆ         | 1/9 [00:00<00:00, 61.81it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  11%|β–ˆ         | 1/9 [00:00<00:00, 60.67it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 61.95it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 61.38it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 62.32it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 61.97it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 63.30it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 62.99it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 63.58it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 63.33it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 63.37it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 63.17it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 63.72it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 63.52it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 63.65it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 63.50it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 64.33it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 64.20it/s, v_num=Maps, val_loss=2.210, train_loss=0.374]
Epoch 80: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 59.49it/s, v_num=Maps, val_loss=2.440, train_loss=0.374]
Epoch 80: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 59.16it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 80:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  11%|β–ˆ         | 1/9 [00:00<00:00, 59.49it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  11%|β–ˆ         | 1/9 [00:00<00:00, 58.34it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 60.80it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 60.14it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 60.68it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 60.27it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 60.73it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 60.41it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 61.08it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 60.84it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 60.93it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 60.72it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 61.02it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 60.85it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 61.01it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 60.77it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 61.25it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 61.11it/s, v_num=Maps, val_loss=2.440, train_loss=0.391]
Epoch 81: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.50it/s, v_num=Maps, val_loss=2.980, train_loss=0.391]
Epoch 81: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.20it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 81:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  11%|β–ˆ         | 1/9 [00:00<00:00, 58.61it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  11%|β–ˆ         | 1/9 [00:00<00:00, 57.53it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 59.51it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 58.94it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 60.07it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 59.68it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 59.29it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 58.99it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 59.28it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 59.04it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 59.00it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 58.81it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 59.45it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 59.29it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 59.87it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 59.73it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 60.58it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 60.46it/s, v_num=Maps, val_loss=2.980, train_loss=0.258]
Epoch 82: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.12it/s, v_num=Maps, val_loss=2.140, train_loss=0.258]
Epoch 82: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 55.82it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 82:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  11%|β–ˆ         | 1/9 [00:00<00:00, 58.12it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  11%|β–ˆ         | 1/9 [00:00<00:00, 57.10it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 59.41it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 58.88it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 59.44it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 59.08it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 59.42it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 59.15it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 59.44it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 59.09it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 58.71it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 58.50it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 58.63it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 58.46it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 58.66it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 58.50it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 59.11it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.98it/s, v_num=Maps, val_loss=2.140, train_loss=0.423]
Epoch 83: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 54.79it/s, v_num=Maps, val_loss=2.650, train_loss=0.423]
Epoch 83: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 54.49it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 83:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  11%|β–ˆ         | 1/9 [00:00<00:00, 55.88it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.78it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 56.98it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 56.42it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 57.57it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 57.18it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 57.90it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 57.62it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 58.24it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 58.02it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 58.22it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 58.03it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 58.21it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 58.03it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 58.02it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.87it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.42it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.29it/s, v_num=Maps, val_loss=2.650, train_loss=0.378]
Epoch 84: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 54.11it/s, v_num=Maps, val_loss=2.430, train_loss=0.378]
Epoch 84: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.80it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 84:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  11%|β–ˆ         | 1/9 [00:00<00:00, 55.31it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.26it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 56.30it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.74it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.65it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.28it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 57.14it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 56.88it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 57.58it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 57.37it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 57.50it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 57.32it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.42it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.26it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.49it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.35it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.03it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 57.91it/s, v_num=Maps, val_loss=2.430, train_loss=0.380]
Epoch 85: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.81it/s, v_num=Maps, val_loss=2.250, train_loss=0.380]
Epoch 85: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.52it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 85:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.93it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  11%|β–ˆ         | 1/9 [00:00<00:00, 53.95it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 56.36it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.85it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 57.21it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.88it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 57.87it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 57.61it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 57.99it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 57.77it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 57.54it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 57.32it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.38it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.22it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.49it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.36it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 57.96it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 57.84it/s, v_num=Maps, val_loss=2.250, train_loss=0.327]
Epoch 86: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.82it/s, v_num=Maps, val_loss=2.670, train_loss=0.327]
Epoch 86: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.54it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 86:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.55it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  11%|β–ˆ         | 1/9 [00:00<00:00, 53.56it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.90it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.37it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.42it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.06it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 56.86it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 56.60it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 57.17it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 56.95it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 57.01it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 56.84it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.33it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 57.19it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.62it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 57.49it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.17it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 58.06it/s, v_num=Maps, val_loss=2.670, train_loss=0.303]
Epoch 87: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 54.10it/s, v_num=Maps, val_loss=2.220, train_loss=0.303]
Epoch 87: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.83it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 87:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.60it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  11%|β–ˆ         | 1/9 [00:00<00:00, 53.61it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 56.02it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.52it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.79it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 56.39it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 56.85it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 56.58it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 56.86it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 56.62it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 56.33it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 56.14it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 56.34it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 56.19it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 56.55it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 56.42it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 57.14it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 57.03it/s, v_num=Maps, val_loss=2.220, train_loss=0.288]
Epoch 88: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 53.14it/s, v_num=Maps, val_loss=2.580, train_loss=0.288]
Epoch 88: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 52.88it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 88:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.39it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  11%|β–ˆ         | 1/9 [00:00<00:00, 53.43it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.72it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.19it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 55.93it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 55.57it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 55.62it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 55.34it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.28it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.07it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 55.08it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 54.91it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 55.28it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 55.13it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 55.42it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 55.28it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 55.87it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 55.74it/s, v_num=Maps, val_loss=2.580, train_loss=0.502]
Epoch 89: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 51.93it/s, v_num=Maps, val_loss=2.550, train_loss=0.502]
Epoch 89: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 51.67it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 89:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  11%|β–ˆ         | 1/9 [00:00<00:00, 54.08it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  11%|β–ˆ         | 1/9 [00:00<00:00, 53.10it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 55.11it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 54.59it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 54.97it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 54.64it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 55.24it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 55.01it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.61it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.43it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 55.72it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 55.56it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 56.08it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 55.93it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 56.23it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 56.09it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.60it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.47it/s, v_num=Maps, val_loss=2.550, train_loss=0.538]
Epoch 90: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 52.44it/s, v_num=Maps, val_loss=2.780, train_loss=0.538]
Epoch 90: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 52.19it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 90:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:   0%|          | 0/9 [00:00<?, ?it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  11%|β–ˆ         | 1/9 [00:00<00:00, 52.17it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  11%|β–ˆ         | 1/9 [00:00<00:00, 51.24it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 53.52it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  22%|β–ˆβ–ˆβ–       | 2/9 [00:00<00:00, 53.03it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 54.30it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 3/9 [00:00<00:00, 53.98it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 55.23it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  44%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 4/9 [00:00<00:00, 54.97it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.80it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 5/9 [00:00<00:00, 55.60it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 55.57it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 6/9 [00:00<00:00, 55.41it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 55.64it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 7/9 [00:00<00:00, 55.47it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 55.81it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91:  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 8/9 [00:00<00:00, 55.69it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.46it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 56.35it/s, v_num=Maps, val_loss=2.780, train_loss=0.335]
Epoch 91: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 52.61it/s, v_num=Maps, val_loss=3.130, train_loss=0.335]
Epoch 91: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 52.35it/s, v_num=Maps, val_loss=3.130, train_loss=0.383]
Epoch 91: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 9/9 [00:00<00:00, 47.65it/s, v_num=Maps, val_loss=3.130, train_loss=0.383]
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
     Validate metric           DataLoader 0
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
         MAE_val            1.3181606531143188
         R2_val             0.6288284063339233
        val_loss            3.1311514377593994
────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

Evaluating with validation data

We’ll start by evaluating the model with the validation data.

reals_preds_validation = RealsVsPreds.from_final_val_data(trained_model)
plt.show()
Evaluation: Validation Data, Concatenating tabular feature maps - Validation R2: 0.629

Evaluating with external data

Now we’ll evaluate the model with the external data.

reals_preds_external = RealsVsPreds.from_new_data(trained_model,
                                                  output_paths=output_paths,
                                                  test_data_paths=external_data_paths)
plt.show()
Evaluation: External Test Data, Concatenating tabular feature maps - Validation r2: 0.413

Removing checkpoint files

for dir in os.listdir(output_paths["checkpoints"]):
    # remove files
    os.remove(os.path.join(output_paths["checkpoints"], dir))

Total running time of the script: (0 minutes 13.958 seconds)

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