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 [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9105
-- Accuracy: 0.7481
+- Loss: 0.1972
+- Accuracy: 0.9488
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7992        | 1.0   | 2170 | 1.0012          | 0.7062   |
-| 0.4416        | 2.0   | 4340 | 0.9189          | 0.7383   |
-| 0.2695        | 3.0   | 6510 | 0.9105          | 0.7481   |
+| 0.7748        | 1.0   | 2722 | 0.4600          | 0.8772   |
+| 0.4433        | 2.0   | 5444 | 0.2667          | 0.9280   |
+| 0.2764        | 3.0   | 8166 | 0.1972          | 0.9488   |
 
 
 ### Framework versions