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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0046
-- Accuracy: 0.9996
+- Loss: 0.0034
+- Accuracy: 0.9998
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0084        | 1.0   | 1123 | 0.0046          | 0.9996   |
+| 0.0126        | 1.0   | 1123 | 0.0034          | 0.9998   |
 
 
 ### Framework versions