Update README.md

README.md

@@ -49,6 +49,8 @@ predictions = torch.softmax(outputs.logits, dim=1).detach().numpy()
 
 # Performance
 
+> I have conducted eight experiments using eight different models in various settings to determine the optimal performance, and the outcomes are as follows.
+
 > The model was evaluated on a test set of news articles, and achieved an AUC score of `95%`. This indicates that the model is able to effectively distinguish between fake and real news articles.