update model card README.md

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.6355
+- Loss: 4.4099
 
 ## Model description
 
@@ -34,21 +34,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 282  | 6.0209          |
-| 6.4513        | 2.0   | 564  | 5.8060          |
-| 6.4513        | 3.0   | 846  | 5.6355          |
+| No log        | 1.0   | 282  | 5.3874          |
+| 5.4769        | 2.0   | 564  | 5.2643          |
+| 5.4769        | 3.0   | 846  | 4.9845          |
+| 5.075         | 4.0   | 1128 | 4.9163          |
+| 5.075         | 5.0   | 1410 | 4.8219          |
+| 4.799         | 6.0   | 1692 | 4.6897          |
+| 4.799         | 7.0   | 1974 | 4.5800          |
+| 4.5388        | 8.0   | 2256 | 4.5920          |
+| 4.3687        | 9.0   | 2538 | 4.5769          |
+| 4.3687        | 10.0  | 2820 | 4.4824          |
 
 
 ### Framework versions