Update README.md

README.md

@@ -19,9 +19,7 @@ The model was trained on a dataset containing news articles from various sources
 
 ## Training Procedure
 
-The model was trained with a learning rate of `X.Xe-X`, using the Adam optimizer for `XX` epochs. We used a batch size of `XX` and a train-validation split of `XX%-XX%`.
-
-(Replace placeholders with the actual values used during training.)
+The model was trained using the Adam optimizer for 10 epochs. 
 
 ## Performance
 
@@ -48,3 +46,6 @@ classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
 result = classifier("Women are bad driver.")
 print(result)
 ```
+
+
+Developed by Shaina Raza