End of training

README.md

@@ -17,8 +17,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3293
-- Accuracy: 0.867
+- Loss: 0.3250
+- Accuracy: 0.863
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5087        | 1.0   | 625  | 0.3446          | 0.853    |
-| 0.3562        | 2.0   | 1250 | 0.3293          | 0.867    |
+| 0.5093        | 1.0   | 625  | 0.3441          | 0.852    |
+| 0.3595        | 2.0   | 1250 | 0.3250          | 0.863    |
 
 
 ### Framework versions