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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9296
-- Accuracy: 0.9319
+- Loss: 1.0838
+- Accuracy: 0.8982
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9382        | 1.0   | 1563 | 0.9887          | 0.9322   |
-| 0.8586        | 2.0   | 3126 | 0.9296          | 0.9319   |
+| 1.2327        | 1.0   | 1563 | 1.1693          | 0.8972   |
+| 1.0963        | 2.0   | 3126 | 1.0838          | 0.8982   |
 
 
 ### Framework versions