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: 0.0683
+- Loss: 0.0743
 - Precision: 0.9800
-- Recall: 0.9819
-- F1: 0.9809
-- Accuracy: 0.9822
+- Recall: 0.9811
+- F1: 0.9806
+- Accuracy: 0.9817
 
 ## Model description
 
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 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   |
+| 0.157         | 1.0   | 1583 | 0.1170          | 0.9616    | 0.9641 | 0.9629 | 0.9671   |
+| 0.0982        | 2.0   | 3166 | 0.0823          | 0.9740    | 0.9745 | 0.9743 | 0.9766   |
+| 0.0666        | 3.0   | 4749 | 0.0778          | 0.9767    | 0.9771 | 0.9769 | 0.9786   |
+| 0.0528        | 4.0   | 6332 | 0.0712          | 0.9793    | 0.9800 | 0.9796 | 0.9810   |
+| 0.0446        | 5.0   | 7915 | 0.0743          | 0.9800    | 0.9811 | 0.9806 | 0.9817   |
 
 
 ### Framework versions
 
 - Transformers 4.28.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3