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: 0.1751
-- F1: 0.8548
+- Loss: 0.1762
+- F1: 0.8538
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2993        | 1.0   | 835  | 0.1903          | 0.8195 |
-| 0.1587        | 2.0   | 1670 | 0.1767          | 0.8384 |
-| 0.1017        | 3.0   | 2505 | 0.1751          | 0.8548 |
+| 0.3003        | 1.0   | 835  | 0.1996          | 0.8102 |
+| 0.1572        | 2.0   | 1670 | 0.1734          | 0.8443 |
+| 0.1024        | 3.0   | 2505 | 0.1762          | 0.8538 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
-- Pytorch 1.13.1.post200
+- Pytorch 1.12.1.post201
 - Datasets 2.14.4
 - Tokenizers 0.13.3