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-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6153
-- Accuracy: 0.4458
+- Loss: 1.6354
+- Accuracy: 0.4379
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6485        | 1.0   | 1159 | 1.5860          | 0.4393   |
-| 1.4459        | 2.0   | 2318 | 1.5820          | 0.4464   |
-| 1.2594        | 3.0   | 3477 | 1.6153          | 0.4458   |
+| 1.6427        | 1.0   | 1159 | 1.6026          | 0.4366   |
+| 1.4301        | 2.0   | 2318 | 1.5943          | 0.4442   |
+| 1.2482        | 3.0   | 3477 | 1.6354          | 0.4379   |
 
 
 ### Framework versions