Note
Go to the end to download the full example code.
Using External Test Dataο
Letβs 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.
Weβll 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,
)

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

Evaluating with external dataο
Now weβll 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()

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)