Update README.md

README.md

@@ -28,10 +28,10 @@ The following table summarizes selected metrics quantifying the model performanc
 
 | 📈 Metric                          | Value  |
 |------------------------------------|--------|
-| Categorical Cross-Entropy Loss     | 0.0998 |
-| Accuracy                           | 0.9606 |
-| F1-score (macro, aggregated)       | 0.8195 |
-| F1-score (weighted, aggregated)    | 0.9597 |
+| Categorical Cross-Entropy Loss     | 0.0946 |
+| Accuracy                           | 0.9718 |
+| F1-score (macro, aggregated)       | 0.8765 |
+| F1-score (weighted, aggregated)    | 0.9712 |
 
 ## ⚙️ Hyperparameters
 
@@ -39,10 +39,10 @@ The following table summarizes selected hyperparameters used for training the mo
 
 | Metric                    | Value    |
 |---------------------------|----------|
-| Batch size                | 32       |
+| Batch size                | 8       |
 | Optimizer                 | AdamW    |
 | Warm-up ratio             | 0.1      |
-| Metric for best model     | Cat. CE  |
+| Metric for best model     | F1-Score (Macro)  |
 | Early stopping patience   | 3        |
 
 ## 🚀 Usage