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@@ -16,11 +16,13 @@ Finally, the dataset we used to train the model contains 60,256 positive and neg
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  # Results
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  **MHC-II-EpiPred** achieved the following results:
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- Training Loss (cross-entropy loss, CEL): 0.1407
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- Training Accuracy: 0.9898
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- Evaluation Loss (cross-entropy loss, CEL): 0.0836
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- Evaluation Accuracy: 0.9703
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- Epochs: 324
 
 
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  # Model training code at GitHub
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  https://github.com/pengsihua2023/MHC-II-EpiPred
 
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  # Results
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  **MHC-II-EpiPred** achieved the following results:
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+ Training Loss (cross-entropy loss, CEL): 0.0355
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+ Training Accuracy: 0.9916
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+ Training F1: 0.9916
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+ Evaluation Loss (cross-entropy loss, CEL): 0.0537
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+ Evaluation Accuracy: 0.9824
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+ Evaluation F1: 0.9824
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+ Epochs: 39
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  # Model training code at GitHub
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  https://github.com/pengsihua2023/MHC-II-EpiPred