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  # Model description
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  **MHC-II-EpiPred** (MHC-II-EpiPred, MHC II molecular epitope prediction) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t33_650M_UR50D***)](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on a T cell MHC II epitope dataset.
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- **MHC-II-EpiPred** is a classification model for predicting the class using a potential epitope peptide as an input.
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  **MHC-II-EpiPred** achieved the following results:
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  Training Loss (mse): 0.1407
 
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  # Model description
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  **MHC-II-EpiPred** (MHC-II-EpiPred, MHC II molecular epitope prediction) is a protein language model fine-tuned from [**ESM2**](https://github.com/facebookresearch/esm) pretrained model [(***facebook/esm2_t33_650M_UR50D***)](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on a T cell MHC II epitope dataset.
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+ **MHC-II-EpiPred** is a classification model for predicting the class of MHC II epitope.
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  **MHC-II-EpiPred** achieved the following results:
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  Training Loss (mse): 0.1407