Update README.md

README.md

@@ -36,7 +36,7 @@ trainable params: 23682 || all params: 4075265 || trainable%: 0.5811155838945443
 
 It was shown in the QLoRA paper that to obtain performance comparable to or better than full finetuning, the most important hyperparameter than can 
 that can be adjusted is which weight matrices the LoRA adapters are applied to, with more being better. The rank and other hyperparameters
-such as rank and the scaling factor alpha did not seem to matter. So, an important thing to investigate next would be to check and see if this 
+such as the scaling factor alpha did not seem to matter. So, an important thing to investigate next would be to check and see if this 
 transfers to protein language models as well. 
 
 ## Testing for Overfitting