Update README.md

README.md

@@ -55,7 +55,7 @@ comprehensive. Using the notebook linked above should help further evaluate the
 
 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 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 binary token classification task of predicting binding sites (and active sites) of protein sequences based on sequence alone. 
 The model may need more training, however it still achieves 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 
 dataset [found here](https://huggingface.co/datasets/AmelieSchreiber/binding_sites_random_split_by_family) of ~209K protein sequences. Note,