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@@ -21,8 +21,14 @@ To load tokenizer from ESM, you need to install transformers with this version a
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  !git clone -b add_esm-proper --single-branch https://github.com/liujas000/transformers.git
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  !pip -q install ./transformers
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- This model is a fine-tuned version of [facebook/esm-1b](https://huggingface.co/facebook/esm-1b) on an unknown dataset.
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- It achieves the following results on the evaluation set:
 
 
 
 
 
 
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  - Loss: 0.2250
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  - Accuracy: 0.9620
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  - F1: 0.9632
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  !git clone -b add_esm-proper --single-branch https://github.com/liujas000/transformers.git
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  !pip -q install ./transformers
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+ This model is a fine-tuned version of [facebook/esm-1b](https://huggingface.co/facebook/esm-1b) 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.
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+ 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: 0.2250
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  - Accuracy: 0.9620
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  - F1: 0.9632