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  **This model is overfit (see below).**
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  This model *may be* close to SOTA compared to [these SOTA structural models](https://www.biorxiv.org/content/10.1101/2023.08.11.553028v1).
 
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  One of the primary goals in training this model is to prove the viability of using simple, single sequence only protein language models
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  for binary token classification tasks like predicting binding and active sites of protein sequences based on sequence alone. This project
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  is also an attempt to make deep learning techniques like LoRA more accessible and to showcase the competative or even superior performance
 
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  **This model is overfit (see below).**
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  This model *may be* close to SOTA compared to [these SOTA structural models](https://www.biorxiv.org/content/10.1101/2023.08.11.553028v1).
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+ Note the especially high recall below.
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  One of the primary goals in training this model is to prove the viability of using simple, single sequence only protein language models
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  for binary token classification tasks like predicting binding and active sites of protein sequences based on sequence alone. This project
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  is also an attempt to make deep learning techniques like LoRA more accessible and to showcase the competative or even superior performance