update model card README.md

README.md

@@ -18,7 +18,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9477777777777778
+      value: 0.9444444444444444
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,8 +28,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3199
-- Accuracy: 0.9478
+- Loss: 0.3581
+- Accuracy: 0.9444
 
 ## Model description
 
@@ -60,14 +60,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3763        | 1.0   | 1875  | 0.1789          | 0.9411   |
-| 0.2179        | 2.0   | 3750  | 0.2558          | 0.9356   |
-| 0.1789        | 3.0   | 5625  | 0.1786          | 0.9422   |
-| 0.1543        | 4.0   | 7500  | 0.2059          | 0.9511   |
-| 0.1181        | 5.0   | 9375  | 0.2070          | 0.9478   |
-| 0.0791        | 6.0   | 11250 | 0.2392          | 0.9433   |
-| 0.0497        | 7.0   | 13125 | 0.3182          | 0.9411   |
-| 0.0356        | 8.0   | 15000 | 0.3199          | 0.9478   |
+| 0.3724        | 1.0   | 1875  | 0.1799          | 0.9367   |
+| 0.2118        | 2.0   | 3750  | 0.1918          | 0.9456   |
+| 0.1792        | 3.0   | 5625  | 0.1791          | 0.95     |
+| 0.1489        | 4.0   | 7500  | 0.1479          | 0.9489   |
+| 0.1168        | 5.0   | 9375  | 0.2561          | 0.9444   |
+| 0.081         | 6.0   | 11250 | 0.2863          | 0.9411   |
+| 0.0521        | 7.0   | 13125 | 0.3168          | 0.9467   |
+| 0.0345        | 8.0   | 15000 | 0.3581          | 0.9444   |
 
 
 ### Framework versions