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@@ -28,7 +28,7 @@ like sequence similarity in the train/test split? Is there something fundamental
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  in UniProt seemed to help, but perhaps a more rigorous approach is necessary?
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  This model *seems* 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 based on the performance on the train/test split. However, initial testing on a couple of these datasets
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  doesn't appear nearly as promising. If you would like to check the data preprocessing step, please see
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  [this notebook](https://huggingface.co/AmelieSchreiber/esm2_t12_35M_lora_binding_sites_v2_cp3/blob/main/data_preprocessing_notebook_v1.ipynb).
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  in UniProt seemed to help, but perhaps a more rigorous approach is necessary?
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  This model *seems* 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 metrics below based on the performance on the train/test split. However, initial testing on a couple of these datasets
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  doesn't appear nearly as promising. If you would like to check the data preprocessing step, please see
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  [this notebook](https://huggingface.co/AmelieSchreiber/esm2_t12_35M_lora_binding_sites_v2_cp3/blob/main/data_preprocessing_notebook_v1.ipynb).
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