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README.md

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 # ESM-2 for Binding Site Prediction
 
 This model is a finetuned version of the 35M parameter `esm2_t12_35M_UR50D` ([see here](https://huggingface.co/facebook/esm2_t12_35M_UR50D) 
-and [here](https://huggingface.co/docs/transformers/model_doc/esm) for more detail). The model was finetuned with LoRA for
+and [here](https://huggingface.co/docs/transformers/model_doc/esm) for more details). The model was finetuned with LoRA for
 the binay token classification task of predicting binding sites (and active sites) of protein sequences based on sequence alone. 
 The model may be underfit and undertrained, however it still achieved better performance on the test set in terms of loss, accuracy, 
 precision, recall, F1 score, ROC_AUC, and Matthews Correlation Coefficient (MCC) compared to the models trained on the smaller