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README.md
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@@ -50,5 +50,6 @@ The test accuracy and loss are consistent with the validation metrics, indicatin
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The model achieved competitive performance, achieving over 80% accuracy on both the validation and test sets. These results validate the effectiveness of the ResNet architecture and the training strategy employed in this project.
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### Loss Graph
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The model achieved competitive performance, achieving over 80% accuracy on both the validation and test sets. These results validate the effectiveness of the ResNet architecture and the training strategy employed in this project.
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### Loss Graph
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