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README.md

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 # ESM-2 (`esm2_t6_8M_UR50D`) for Token Classification
 
-This is a fine-tunes version of [esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) trained on the token classification task
+This is a fine-tuned version of [esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) trained on the token classification task
 to classify amino acids in protein sequences into one of three categories `0: other`, `1: alpha helix`, `2: beta strand`. It was trained with 
 [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/protein_language_modeling.ipynb) and achieves 
 78.13824286786025 % accuracy.