End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7601
-- Accuracy: 0.709
+- Loss: 0.7497
+- Accuracy: 0.714
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9263        | 1.0   | 563  | 0.7601          | 0.709    |
+| 0.9188        | 1.0   | 563  | 0.7497          | 0.714    |
 
 
 ### Framework versions