update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3863
-- Accuracy: 0.2466
+- Loss: 1.0438
+- Accuracy: 0.7915
 
 ## Model description
 
@@ -38,19 +38,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.05
+- learning_rate: 5e-05
 - 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: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.462         | 1.0   | 4597 | 1.3863          | 0.2466   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7708        | 1.0   | 4597  | 0.6025          | 0.7659   |
+| 0.4015        | 2.0   | 9194  | 0.6287          | 0.7841   |
+| 0.1501        | 3.0   | 13791 | 1.0438          | 0.7915   |
 
 
 ### Framework versions