update model card README.md

README.md

@@ -19,11 +19,11 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0706
+- Loss: 0.0683
 - Precision: 0.9800
-- Recall: 0.9808
-- F1: 0.9804
-- Accuracy: 0.9821
+- Recall: 0.9819
+- F1: 0.9809
+- Accuracy: 0.9822
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1627        | 1.0   | 1583 | 0.1289          | 0.9599    | 0.9633 | 0.9616 | 0.9653   |
-| 0.1009        | 2.0   | 3166 | 0.0931          | 0.9680    | 0.9716 | 0.9698 | 0.9730   |
-| 0.0705        | 3.0   | 4749 | 0.0766          | 0.9758    | 0.9774 | 0.9766 | 0.9786   |
-| 0.0536        | 4.0   | 6332 | 0.0697          | 0.9787    | 0.9795 | 0.9791 | 0.9812   |
-| 0.0419        | 5.0   | 7915 | 0.0706          | 0.9800    | 0.9808 | 0.9804 | 0.9821   |
+| 0.1542        | 1.0   | 1583 | 0.1251          | 0.9526    | 0.9613 | 0.9569 | 0.9622   |
+| 0.0953        | 2.0   | 3166 | 0.0813          | 0.9725    | 0.9750 | 0.9737 | 0.9763   |
+| 0.0694        | 3.0   | 4749 | 0.0707          | 0.9765    | 0.9792 | 0.9778 | 0.9797   |
+| 0.0497        | 4.0   | 6332 | 0.0684          | 0.9784    | 0.9809 | 0.9796 | 0.9814   |
+| 0.0435        | 5.0   | 7915 | 0.0683          | 0.9800    | 0.9819 | 0.9809 | 0.9822   |
 
 
 ### Framework versions
 
-- Transformers 4.27.3
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3