Update README.md

README.md

@@ -79,8 +79,18 @@ label = model.config.id2label[predicted_class]
 print(f"Predicted Label: {label}")
 ```
 # **Performance Metrics**
-- **Accuracy**: ~95% on the test set.
-- **F1 Score**: ~94% (macro-average).
+```
+Classification report:
+
+              precision    recall  f1-score   support
+
+        Real     0.6276    0.9823    0.7659     38054
+        Fake     0.9594    0.4176    0.5819     38080
+
+    accuracy                         0.6999     76134
+   macro avg     0.7935    0.7000    0.6739     76134
+weighted avg     0.7936    0.6999    0.6739     76134
+```
 - **Confusion Matrix**:
   ```
   [[True Positives, False Negatives],