update model card README.md

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4846
+- Loss: 0.3725
 
 ## Model description
 
@@ -33,23 +33,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 96   | 0.6622          |
-| No log        | 2.0   | 192  | 0.6224          |
-| No log        | 3.0   | 288  | 0.5013          |
-| No log        | 4.0   | 384  | 0.4895          |
-| No log        | 5.0   | 480  | 0.4846          |
+| No log        | 1.0   | 96   | 0.6786          |
+| No log        | 2.0   | 192  | 0.3586          |
+| No log        | 3.0   | 288  | 0.2853          |
+| No log        | 4.0   | 384  | 0.4693          |
+| No log        | 5.0   | 480  | 0.3914          |
+| 0.5916        | 6.0   | 576  | 0.3428          |
+| 0.5916        | 7.0   | 672  | 0.3450          |
+| 0.5916        | 8.0   | 768  | 0.3544          |
+| 0.5916        | 9.0   | 864  | 0.3694          |
+| 0.5916        | 10.0  | 960  | 0.3725          |
 
 
 ### Framework versions