Update README.md

README.md

@@ -24,20 +24,17 @@ model-index:
           config: default
           split: test
         metrics:
-          - type: loss
-            value: 0.08795
-            name: Loss
           - type: accuracy
-            value: 0.9431
+            value: 0.9415
             name: Accuracy
           - type: precision
-            value: 0.9499
+            value: 0.9490
             name: Precision
           - type: recall
-            value: 0.9431
+            value: 0.9415
             name: Recall
           - type: f1
-            value: 0.9439
+            value: 0.9425
             name: F1
           
 ---
@@ -52,10 +49,10 @@ This model is a fine-tuned version of the ALBERT-Large model designed for **emot
 | Metric                     | Value  |
 |----------------------------|--------|
 | **Evaluation Loss**        | 0.08795 |
-| **Evaluation Accuracy**    | 94.31%  |
-| **Evaluation F1-Score**    | 94.39%  |
-| **Evaluation Precision**   | 94.99%  |
-| **Evaluation Recall**      | 94.31%  |
+| **Evaluation Accuracy**    | 94.15%  |
+| **Evaluation Precision**   | 94.90%  |
+| **Evaluation Recall**      | 94.15%  |
+| **Evaluation F1-Score**    | 94.25%  |
 
 ## How to Get Started