Update README.md

README.md

@@ -38,7 +38,7 @@ DistilProtBert model was pretrained on [Uniref50](https://www.uniprot.org/downlo
 Preprocessing was done using ProtBert's tokenizer.
 The details of the masking procedure for each sequence followed the original Bert (as mentioned in [ProtBert](https://huggingface.co/Rostlab/prot_bert)). 
 
-The model was pretrained on a single DGX cluster 3 epochs in total. local batch size was 16, the optimizer used was AdamW with a learning rate of 5e-5 and mixed precision settings.
+The model was pretrained on a single DGX cluster for 3 epochs in total. local batch size was 16, the optimizer used was AdamW with a learning rate of 5e-5 and mixed precision settings.
 
 ## Evaluation results