Ubuntu
commited on
Commit
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5005854
1
Parent(s):
41b8141
added table to the training logs to copy to Excel
Browse files- .gitignore +2 -0
- resnet_execute.py +12 -0
.gitignore
CHANGED
@@ -3,4 +3,6 @@ data/
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__pycache__
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ResNet 50_Model.xlsx
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~$ResNet 50_Model.xlsx
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__pycache__
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ResNet 50_Model.xlsx
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~$ResNet 50_Model.xlsx
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+
checkpoint.pth
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resnet_execute.py
CHANGED
@@ -105,10 +105,17 @@ if __name__ == '__main__':
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except FileNotFoundError:
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print("No checkpoint found, starting from scratch.")
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for epoch in range(1, 6): # 20 epochs
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train_accuracy = train(model, device, trainloader, optimizer, criterion, epoch)
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test_accuracy, test_loss = test(model, device, testloader, criterion)
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print(f'Epoch {epoch} | Train Accuracy: {train_accuracy:.2f}% | Test Accuracy: {test_accuracy:.2f}%')
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if test_loss < best_loss:
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best_loss = test_loss
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patience_counter = 0
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@@ -119,3 +126,8 @@ if __name__ == '__main__':
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if patience_counter >= patience:
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print("Early stopping triggered. Training terminated.")
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break
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except FileNotFoundError:
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print("No checkpoint found, starting from scratch.")
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# Store results for each epoch
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results = []
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for epoch in range(1, 6): # 20 epochs
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train_accuracy = train(model, device, trainloader, optimizer, criterion, epoch)
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test_accuracy, test_loss = test(model, device, testloader, criterion)
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print(f'Epoch {epoch} | Train Accuracy: {train_accuracy:.2f}% | Test Accuracy: {test_accuracy:.2f}%')
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# Append results for this epoch
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results.append((epoch, train_accuracy, test_accuracy))
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if test_loss < best_loss:
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best_loss = test_loss
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patience_counter = 0
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if patience_counter >= patience:
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print("Early stopping triggered. Training terminated.")
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break
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# Print the results in a tab-separated format
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print("\nEpoch\tTrain Accuracy\tTest Accuracy")
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for epoch, train_acc, test_acc in results:
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print(f"{epoch}\t{train_acc:.2f}\t{test_acc:.2f}")
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