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maksymilianpilzys@Maksymilians-MacBook-Pro nikitaTests % /usr/local/bin/python3 /Users/maksymilianpilzys/Documents/development/projects/tutorie-health/nikitaTests/trainNetwork_VGG.py
/Users/maksymilianpilzys/Documents/development/projects/tutorie-health/nikitaTests
()
<torch.utils.data.dataloader.DataLoader object at 0x141fd3670>
Test before training
Evaluating model
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Test batch 0/282/usr/local/lib/python3.9/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at  ../c10/core/TensorImpl.h:1156.)
  return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
Test batch 200/282
Evaluation completed in 3m 51s
Avg loss (test): 0.3471
Avg acc (test): 0.5142
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Ground truth: tensor([0, 1])
Prediction: tensor([0, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([0, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([0, 0])
Epoch 0/1
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Training batch 900/996.5
Validation batch 500/573
Epoch 0 result: 
Avg loss (train): 0.3624
Avg acc (train): 0.5255
Avg loss (val): 0.3173
Avg acc (val): 0.6070
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Training completed in 60m 37s
Best acc: 0.6070
Evaluating model
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Test batch 200/282
Evaluation completed in 3m 50s
Avg loss (test): 0.3203
Avg acc (test): 0.5833
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Ground truth: tensor([1, 1])
Prediction: tensor([0, 1])
Ground truth: tensor([1, 0])
Prediction: tensor([1, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([1, 0])
Ground truth: tensor([0, 1])
Prediction: tensor([1, 0])
Ground truth: tensor([1, 0])
Prediction: tensor([0, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([1, 1])
Ground truth: tensor([0, 1])
Prediction: tensor([0, 1])
Ground truth: tensor([0, 1])
Prediction: tensor([0, 1])
Ground truth: tensor([1, 1])
Prediction: tensor([1, 0])
Ground truth: tensor([0, 1])
Prediction: tensor([0, 0])
Ground truth: tensor([0, 0])
Prediction: tensor([0, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([0, 1])
Ground truth: tensor([1, 0])
Prediction: tensor([1, 0])
Ground truth: tensor([1, 1])
Prediction: tensor([0, 0])
Ground truth: tensor([0, 0])
Prediction: tensor([0, 1])
Ground truth: tensor([0, 1])
Prediction: tensor([0, 1])