Update README.md

README.md

@@ -13,7 +13,7 @@ The approach is simple:
 This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class. It is based on [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large). 
 
 ### Data
-20+ NLI datasets were combined to train a binary classification model. The contradiction and neutral labels were mixed to form a non-entailment class. 
+20+ NLI datasets were combined to train a binary classification model. The `contradiction` and `neutral` labels were combined to form a `non-entailment` class. 
 
 ### Usage