Update README.md

README.md

@@ -10,7 +10,7 @@ This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encom
 Using this model, we can classify malicious prompts that can lead towards creation of phishing websites and phishing emails. -->
 
 Our model, "Is it Phish?" is designed to identify malicious prompts that can be used to generate phishing websites and emails using popular commercial LLMs like ChatGPT, Bard and Claude.
-This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts, as detailed in our corresponding arXiv paper
+This model is obtained by finetuning a Pre-Trained RoBERTa using a dataset encompassing multiple sets of malicious prompts. 
 
 Try out "Is it Phish?" using the Inference API. Our model classifies prompts with "Label 1" to signify the identification of a phishing attempt, while "Label 0" denotes a prompt that is considered safe and non-malicious.
 
@@ -39,4 +39,4 @@ print(model_outputs[0])
 
 ### Results
 
-Achieved an accuracy of 96% with an F1-score of 0.96, on test sets distribution, explained in the paper. 
+Achieved an accuracy of 96% with an F1-score of 0.96, on different test sets distribution.