update model card README.md

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: roberta_multiple_choice
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # roberta_multiple_choice
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2868
+- Accuracy: 0.58
 
 ## Model description
 
@@ -38,10 +43,21 @@ 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: 3
+- num_epochs: 100
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4619        | 1.0   | 3207  | 1.2367          | 0.51     |
+| 1.3209        | 2.0   | 6414  | 1.1911          | 0.525    |
+| 1.2195        | 3.0   | 9621  | 1.1396          | 0.525    |
+| 1.1211        | 4.0   | 12828 | 1.1321          | 0.53     |
+| 1.0221        | 5.0   | 16035 | 1.2210          | 0.535    |
+| 0.9262        | 6.0   | 19242 | 1.2008          | 0.555    |
+| 0.8418        | 7.0   | 22449 | 1.2451          | 0.555    |
+| 0.7691        | 8.0   | 25656 | 1.2793          | 0.555    |
+| 0.6981        | 9.0   | 28863 | 1.2868          | 0.58     |
 
 
 ### Framework versions