Update README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 88.4
+      value: 92.2
     - name: F1 Score
       type: f1
-      value: 88.4
+      value: 92.2
 library_name: transformers
 ---
 # Polite Guard
@@ -82,8 +82,8 @@ The code for the synthetic data generation and fine-tuning can be found [here](h
 
 Here are the key performance metrics of the model on the test dataset containing both synthetic and manually annotated data:
 
-- **Accuracy**: 88.4% on the Polite Guard test dataset.
-- **F1-Score**: 88.4% on the Polite Guard test dataset.
+- **Accuracy**: 92.2% on the Polite Guard test dataset.
+- **F1-Score**: 92.2% on the Polite Guard test dataset.
 
 ## How to Use