Update README.md

README.md

@@ -20,8 +20,9 @@ The model achieved the following performance metrics on the evaluation dataset:
 | 1	    | 0.92      | 	0.94 |	0.93	| 1467    |
 
 Accuracy: 0.91
-| Macro Avg | Precision = 0.90 Recall = 0.89 F1-Score = 0.90 |
-| Weighted Avg | Precision = 0.90 Recall = 0.91 F1-Score = 0.90 |
+| Macro Avg | Weighted Avg |
+| --------- | ------------ |
+| Precision = 0.90 Recall = 0.89 F1-Score = 0.90 | Precision = 0.90 Recall = 0.91 F1-Score = 0.90 |
 
 # Training Details
 | Model Architecture | BERT (Bidirectional Encoder Representations from Transformers) |