update model card README.md

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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1696
-- F1: 0.8780
+- Loss: 0.1604
+- F1: 0.8595
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2787        | 1.0   | 1150 | 0.1796          | 0.8437 |
-| 0.151         | 2.0   | 2300 | 0.1653          | 0.8666 |
-| 0.096         | 3.0   | 3450 | 0.1696          | 0.8780 |
+| 0.2865        | 1.0   | 715  | 0.1769          | 0.8240 |
+| 0.1463        | 2.0   | 1430 | 0.1601          | 0.8420 |
+| 0.0937        | 3.0   | 2145 | 0.1604          | 0.8595 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.0
 - Tokenizers 0.13.3