update model card README.md

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2153
-- Acc : 0.9235
-- F1 : 0.9234
+- Loss: 0.2433
+- Acc : 0.9355
+- F1 : 0.9356
 
 ## Model description
 
@@ -43,14 +43,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Acc    | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 0.8475        | 1.0   | 250  | 0.3152          | 0.904  | 0.9014 |
-| 0.2462        | 2.0   | 500  | 0.2153          | 0.9235 | 0.9234 |
+| 0.1674        | 1.0   | 250  | 0.1948          | 0.9275 | 0.9267 |
+| 0.1185        | 2.0   | 500  | 0.1635          | 0.938  | 0.9380 |
+| 0.0998        | 3.0   | 750  | 0.1723          | 0.9345 | 0.9352 |
+| 0.0808        | 4.0   | 1000 | 0.1687          | 0.934  | 0.9337 |
+| 0.0621        | 5.0   | 1250 | 0.1769          | 0.937  | 0.9368 |
+| 0.0511        | 6.0   | 1500 | 0.1927          | 0.933  | 0.9327 |
+| 0.0393        | 7.0   | 1750 | 0.2275          | 0.9345 | 0.9348 |
+| 0.0323        | 8.0   | 2000 | 0.2338          | 0.932  | 0.9324 |
+| 0.0273        | 9.0   | 2250 | 0.2439          | 0.935  | 0.9352 |
+| 0.0215        | 10.0  | 2500 | 0.2433          | 0.9355 | 0.9356 |
 
 
 ### Framework versions