Update README.md

README.md

@@ -26,10 +26,9 @@ After data preprocessing and model training, It achieves the following results o
 - Epoch: 2
   
 
-Considering the imbalanced nature of the data, metrics such as recall, precision, and F1 score were employed for evaluation. 
-These metrics provide a more comprehensive understanding of the model's performance across different sentiment classes:-
+Considering the imbalanced nature of the data, metrics such as recall, precision, and F1 score were employed for evaluation:- 
 
-These results from model evaluation on the test set:
+The model achieves these results on the test set:
 
               precision    recall  f1-score   support
 
@@ -38,7 +37,9 @@ These results from model evaluation on the test set:
            2       0.91      0.79      0.85      8712
 
     accuracy                           0.75     11662
+    
    macro avg       0.67      0.71      0.68     11662
+   
 weighted avg       0.81      0.75      0.77     11662