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 [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2674
-- Accuracy: 0.9497
+- Loss: 0.9432
+- Accuracy: 0.8157
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3142        | 1.0   | 600  | 0.2201          | 0.9529   |
-| 0.1756        | 2.0   | 1200 | 0.2143          | 0.9529   |
-| 0.3002        | 3.0   | 1800 | 0.1880          | 0.9562   |
-| 0.1693        | 4.0   | 2400 | 0.2573          | 0.9545   |
-| 0.0059        | 5.0   | 3000 | 0.2674          | 0.9497   |
+| 0.6885        | 1.0   | 249  | 0.5087          | 0.7922   |
+| 0.4942        | 2.0   | 498  | 0.8174          | 0.6588   |
+| 0.3681        | 3.0   | 747  | 1.0386          | 0.7294   |
+| 0.4358        | 4.0   | 996  | 0.9629          | 0.7804   |
+| 0.3465        | 5.0   | 1245 | 0.9432          | 0.8157   |
 
 
 ### Framework versions

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