update model card README.md

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilroberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: distilroberta_multiple_choice
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilroberta_multiple_choice
 
 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: 1.1925
+- Accuracy: 0.58
 
 ## Model description
 
@@ -38,10 +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: 3
+- num_epochs: 100
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4596        | 1.0   | 3207  | 1.2985          | 0.45     |
+| 1.3501        | 2.0   | 6414  | 1.2420          | 0.49     |
+| 1.2753        | 3.0   | 9621  | 1.1892          | 0.49     |
+| 1.2069        | 4.0   | 12828 | 1.1954          | 0.525    |
+| 1.1319        | 5.0   | 16035 | 1.1763          | 0.52     |
+| 1.0633        | 6.0   | 19242 | 1.1930          | 0.535    |
+| 0.9911        | 7.0   | 22449 | 1.1845          | 0.535    |
+| 0.9234        | 8.0   | 25656 | 1.1866          | 0.565    |
+| 0.8622        | 9.0   | 28863 | 1.2062          | 0.55     |
+| 0.7978        | 10.0  | 32070 | 1.1925          | 0.58     |
 
 
 ### Framework versions