update model card README.md

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: distilbert_multiple_choice
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert_multiple_choice
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3817
+- Accuracy: 0.55
 
 ## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4774        | 1.0   | 3207  | 1.3041          | 0.46     |
+| 1.3316        | 2.0   | 6414  | 1.2338          | 0.5      |
+| 1.2152        | 3.0   | 9621  | 1.1776          | 0.54     |
+| 1.0913        | 4.0   | 12828 | 1.1776          | 0.555    |
+| 0.9688        | 5.0   | 16035 | 1.1628          | 0.535    |
+| 0.8511        | 6.0   | 19242 | 1.1800          | 0.545    |
+| 0.7474        | 7.0   | 22449 | 1.2173          | 0.52     |
+| 0.6581        | 8.0   | 25656 | 1.2490          | 0.555    |
+| 0.577         | 9.0   | 28863 | 1.3253          | 0.555    |
+| 0.5052        | 10.0  | 32070 | 1.3817          | 0.55     |
 
 
 ### Framework versions