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: 0.1638
-- F1: 0.8804
+- Loss: 0.1652
+- F1: 0.8800
 
 ## Model description
 
@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 625  | 0.1787          | 0.8495 |
-| No log        | 2.0   | 1250 | 0.1638          | 0.8664 |
-| No log        | 3.0   | 1875 | 0.1627          | 0.8743 |
-| 0.1639        | 4.0   | 2500 | 0.1638          | 0.8804 |
+| No log        | 1.0   | 625  | 0.1833          | 0.8490 |
+| No log        | 2.0   | 1250 | 0.1661          | 0.8672 |
+| No log        | 3.0   | 1875 | 0.1609          | 0.8753 |
+| 0.1641        | 4.0   | 2500 | 0.1652          | 0.8800 |
 
 
 ### Framework versions
 
-- Transformers 4.27.4
+- Transformers 4.27.0
 - Pytorch 2.0.0+cu118
-- Datasets 2.11.0
+- Datasets 2.12.0
 - Tokenizers 0.13.3