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# protBERTbfd_AAV2_classification
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This model is a fine-tuned version of [Rostlab/prot_bert_bfd](https://huggingface.co/Rostlab/prot_bert_bfd) on
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- Loss: 0.1341
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- Accuracy: 0.9615
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- F1: 0.9627
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# protBERTbfd_AAV2_classification
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This model is a fine-tuned version of [Rostlab/prot_bert_bfd](https://huggingface.co/Rostlab/prot_bert_bfd) on AAV2 dataset with ~230k sequences (Bryant et al 2020).
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The WT sequence (aa561-588): D E E E I R T T N P V A T E Q Y G S V S T N L Q R G N R
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Maximum length: 50
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It achieves the following results on the evaluation set. Note:this is result of the last epoch, I think the pushed model is loaded with best checkpoint - best val_loss, I'm not so sure though :/
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- Loss: 0.1341
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- Accuracy: 0.9615
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- F1: 0.9627
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