Model save

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4303
-- Accuracy: 0.8357
+- Loss: 0.4363
+- Accuracy: 0.8361
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.5345        | 1.0   | 12272  | 0.4765          | 0.8104   |
-| 0.4965        | 2.0   | 24544  | 0.4477          | 0.8253   |
-| 0.465         | 3.0   | 36816  | 0.5280          | 0.7819   |
-| 0.4634        | 4.0   | 49088  | 0.4431          | 0.8245   |
-| 0.436         | 5.0   | 61360  | 0.4211          | 0.8345   |
-| 0.4143        | 6.0   | 73632  | 0.4440          | 0.8341   |
-| 0.3907        | 7.0   | 85904  | 0.4335          | 0.8321   |
-| 0.3899        | 8.0   | 98176  | 0.4212          | 0.8402   |
-| 0.3752        | 9.0   | 110448 | 0.4315          | 0.8373   |
-| 0.3639        | 10.0  | 122720 | 0.4303          | 0.8357   |
+| 0.5593        | 1.0   | 12272  | 0.5132          | 0.7960   |
+| 0.5079        | 2.0   | 24544  | 0.4724          | 0.8116   |
+| 0.4815        | 3.0   | 36816  | 0.5340          | 0.7900   |
+| 0.4757        | 4.0   | 49088  | 0.4503          | 0.8233   |
+| 0.4575        | 5.0   | 61360  | 0.4315          | 0.8321   |
+| 0.4435        | 6.0   | 73632  | 0.4313          | 0.8369   |
+| 0.4228        | 7.0   | 85904  | 0.4381          | 0.8309   |
+| 0.4342        | 8.0   | 98176  | 0.4349          | 0.8365   |
+| 0.4236        | 9.0   | 110448 | 0.4354          | 0.8373   |
+| 0.4151        | 10.0  | 122720 | 0.4363          | 0.8361   |
 
 
 ### Framework versions