update model card README.md

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/electra-base-discriminator
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: electra_multiple_choice
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # electra_multiple_choice
 
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2639
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4223        | 1.0   | 3207  | 1.1865          | 0.54     |
+| 1.2131        | 2.0   | 6414  | 1.0817          | 0.555    |
+| 1.0754        | 3.0   | 9621  | 1.0016          | 0.61     |
+| 0.9402        | 4.0   | 12828 | 0.9841          | 0.595    |
+| 0.8207        | 5.0   | 16035 | 0.9912          | 0.63     |
+| 0.7163        | 6.0   | 19242 | 1.0808          | 0.58     |
+| 0.6187        | 7.0   | 22449 | 1.0956          | 0.6      |
+| 0.5425        | 8.0   | 25656 | 1.1526          | 0.63     |
+| 0.4763        | 9.0   | 28863 | 1.2639          | 0.58     |
 
 
 ### Framework versions