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feat: add figure saving
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@ -101,6 +101,7 @@ plt.plot(loss_values)
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plt.xlabel('Learning Step')
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plt.xlabel('Learning Step')
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plt.ylabel('Loss')
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plt.ylabel('Loss')
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plt.title('Loss Value')
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plt.title('Loss Value')
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plt.savefig('loss_value.png')
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plt.show()
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plt.show()
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# Plot the accuracy on train set after each epoch
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# Plot the accuracy on train set after each epoch
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@ -108,6 +109,7 @@ plt.plot(train_acc_values)
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plt.xlabel('Epoch')
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plt.xlabel('Epoch')
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plt.ylabel('Train Accuracy')
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plt.ylabel('Train Accuracy')
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plt.title('Accuracy on Train Set')
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plt.title('Accuracy on Train Set')
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plt.savefig('train_accuracy.png')
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plt.show()
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plt.show()
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# Plot the accuracy on validation set after each epoch
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# Plot the accuracy on validation set after each epoch
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@ -115,4 +117,5 @@ plt.plot(val_acc_values)
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plt.xlabel('Epoch')
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plt.xlabel('Epoch')
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plt.ylabel('Validation Accuracy')
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plt.ylabel('Validation Accuracy')
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plt.title('Accuracy on Validation Set')
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plt.title('Accuracy on Validation Set')
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plt.savefig('validation_accuracy.png')
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plt.show()
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plt.show()
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