Update README.md

README.md

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 This model is the ESM-2 model [esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) finetuned with QLoRA on 
 [this dataset](https://huggingface.co/datasets/AmelieSchreiber/2600K_binding_sites) of 2.6M protein sequences with binding and active 
-site annotations. The model and dataset size were scaled in a one-to-one way (following the Chinchilla paper) up from the smaller 
+site annotations from UniProt. The model and dataset size were scaled in a one-to-one way (following the Chinchilla paper) up from the smaller 
 QLoRA adaptations of the `esm2_t6_8M_UR50D` models which were trained on 600K proteins. Since this model is 4.375 times larger, a dataset 
 approximately 4.375 times larger is needed if Chinchilla scaling laws hold for QLoRA finetuning of protein language models. Determining if 
 such scaling laws also hold is part of this project, so checking for improvements in performance metrics over a period of 3 epochs, as well