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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1973
-- Accuracy: 0.9248
+- Loss: 0.1955
+- Accuracy: 0.9249
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log | 1.0 | 196 | 0.2061 | 0.9198 |
-| No log | 2.0 | 392 | 0.1973 | 0.9248 |
+| No log | 1.0 | 196 | 0.2047 | 0.9206 |
+| No log | 2.0 | 392 | 0.1955 | 0.9249 |
 
 
 ### Framework versions