Update README.md

README.md

@@ -19,10 +19,9 @@ The model achieved the following performance metrics on the evaluation dataset:
 | 0	    | 0.88	    | 0.84   |	0.86	| 799     |
 | 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
+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 |
 
 # Training Details
 | Model Architecture | BERT (Bidirectional Encoder Representations from Transformers) |