End of training

README.md

@@ -20,8 +20,8 @@ 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: 0.6912
-- Accuracy: 0.7347
+- Loss: 0.6557
+- Accuracy: 0.7483
 
 ## Model description
 
@@ -46,18 +46,22 @@ 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: 6
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.02          | 1.0   | 1150 | 0.8192          | 0.6860   |
-| 0.9222        | 2.0   | 2300 | 0.7436          | 0.7128   |
-| 0.8859        | 3.0   | 3450 | 0.7166          | 0.7247   |
-| 0.8639        | 4.0   | 4600 | 0.7008          | 0.7295   |
-| 0.8689        | 5.0   | 5750 | 0.6954          | 0.7335   |
-| 0.8639        | 6.0   | 6900 | 0.6912          | 0.7347   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.0316        | 1.0   | 1150  | 0.8202          | 0.6860   |
+| 0.9261        | 2.0   | 2300  | 0.7423          | 0.7144   |
+| 0.8862        | 3.0   | 3450  | 0.7114          | 0.7268   |
+| 0.8612        | 4.0   | 4600  | 0.6924          | 0.7347   |
+| 0.8637        | 5.0   | 5750  | 0.6819          | 0.7393   |
+| 0.8541        | 6.0   | 6900  | 0.6691          | 0.7441   |
+| 0.8369        | 7.0   | 8050  | 0.6635          | 0.7464   |
+| 0.8349        | 8.0   | 9200  | 0.6591          | 0.7475   |
+| 0.8302        | 9.0   | 10350 | 0.6572          | 0.7483   |
+| 0.8333        | 10.0  | 11500 | 0.6557          | 0.7483   |
 
 
 ### Framework versions