Update README.md

README.md

@@ -52,12 +52,9 @@ This indicates balanced performance across both sentiment classes.
 
 ### Classification Report
 
-        precision    recall  f1-score   support
+    
 
-NEGATIVE       0.86      0.79      0.82        53
-POSITIVE       0.78      0.85      0.82        47
-
-accuracy                           0.82       100
+![image](https://cdn-uploads.huggingface.co/production/uploads/6864251ed4dde09fbaabf6cf/sFiCggbBtFF9zYZeAJ1Wo.png)
 
 ### Summary
 
@@ -68,6 +65,7 @@ accuracy                           0.82       100
 
 These results demonstrate that **LoRA fine-tuning** achieves competitive sentiment classification performance while training only a small fraction of model parameters.
 
+![image](https://cdn-uploads.huggingface.co/production/uploads/6864251ed4dde09fbaabf6cf/1lZVhPe2w0Y61MGhGBPMU.png)
 
 ## Uses