Update README.md

README.md

@@ -22,7 +22,7 @@ Due to being active vulnerabilities under review, our dataset of malicious promp
 ## Training Details
 
 The model was trained using RobertaForSequenceClassification.from_pretrained. 
-In this process, both the model and tokenizer pertinent to the RoBERTa-base were employed and trained for 10 epochs (learning rate to 2e-5 and used AdamW Optimizer). 
+In this process, both the model and tokenizer pertinent to the RoBERTa-base were employed and trained for 10 epochs (learning rate 2e-5 and AdamW Optimizer). 
 
 ## Inference