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-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0080
-- Accuracy: 0.9984
+- Loss: 0.0094
+- Accuracy: 0.9978
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1414        | 1.0   | 800  | 0.0112          | 0.9969   |
-| 0.0116        | 2.0   | 1600 | 0.0080          | 0.9984   |
+| 0.1411        | 1.0   | 800  | 0.0104          | 0.9974   |
+| 0.0101        | 2.0   | 1600 | 0.0094          | 0.9978   |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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