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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1403
-- F1: 0.8061
+- Loss: 0.1402
+- F1: 0.8089
 
 ## Model description
 
@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 2458 | 0.1421          | 0.7883 |
-| No log        | 2.0   | 4916 | 0.1365          | 0.8004 |
-| 0.1393        | 3.0   | 7375 | 0.1344          | 0.8129 |
-| 0.1393        | 4.0   | 9832 | 0.1403          | 0.8061 |
+| No log        | 1.0   | 2463 | 0.1446          | 0.7890 |
+| No log        | 2.0   | 4926 | 0.1369          | 0.8034 |
+| 0.1387        | 3.0   | 7389 | 0.1382          | 0.8075 |
+| 0.1387        | 4.0   | 9852 | 0.1402          | 0.8089 |
 
 
 ### Framework versions
 
 - Transformers 4.27.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3