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: 0.1717
-- F1: 0.8552
+- Loss: 0.1270
+- F1: 0.8817
 
 ## Model description
 
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2939        | 1.0   | 715  | 0.1884          | 0.8138 |
-| 0.1464        | 2.0   | 1430 | 0.1720          | 0.8469 |
-| 0.0939        | 3.0   | 2145 | 0.1717          | 0.8552 |
+| 0.2845        | 1.0   | 715  | 0.1652          | 0.8380 |
+| 0.1449        | 2.0   | 1430 | 0.1337          | 0.8668 |
+| 0.0929        | 3.0   | 2145 | 0.1270          | 0.8817 |
 
 
 ### Framework versions