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 [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4493
-- Accuracy: 0.7970
+- Loss: 0.4454
+- Accuracy: 0.8028
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3806        | 1.0   | 264  | 0.4550          | 0.7959   |
-| 0.3626        | 2.0   | 528  | 0.4493          | 0.7970   |
+| 0.3503        | 1.0   | 264  | 0.4493          | 0.7982   |
+| 0.3463        | 2.0   | 528  | 0.4454          | 0.8028   |
 
 
 ### Framework versions