update model card README.md

README.md

@@ -16,8 +16,8 @@ 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: 0.1757
-- F1: 0.8513
+- Loss: 0.1733
+- F1: 0.8522
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2986        | 1.0   | 835  | 0.1939          | 0.8077 |
-| 0.1547        | 2.0   | 1670 | 0.1813          | 0.8351 |
-| 0.1003        | 3.0   | 2505 | 0.1757          | 0.8513 |
+| 0.3023        | 1.0   | 835  | 0.1913          | 0.8049 |
+| 0.1568        | 2.0   | 1670 | 0.1705          | 0.8422 |
+| 0.1017        | 3.0   | 2505 | 0.1733          | 0.8522 |
 
 
 ### Framework versions
 
-- Transformers 4.21.2
-- Pytorch 1.12.1+cu113
-- Datasets 2.4.0
-- Tokenizers 0.12.1
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2