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@@ -94,7 +94,7 @@ print(f"{labels[pred_class]}: {probs[0, pred_class]:.2%}")
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  ## Training Details
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- - **Augmentation:** Raw (resize only)
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  - **Optimizer:** AdamW (lr=0.001)
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  - **Loss:** CrossEntropyLoss with class weighting
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  - **Epochs:** 20
 
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  ## Training Details
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+ - **Augmentation:** None (raw resize to 224×224)
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  - **Optimizer:** AdamW (lr=0.001)
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  - **Loss:** CrossEntropyLoss with class weighting
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  - **Epochs:** 20