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: 0.1357
-- F1: 0.8144
+- Loss: 0.1446
+- F1: 0.8111
 
 ## Model description
 
@@ -49,12 +49,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 2486 | 0.1406          | 0.7939 |
-| No log        | 2.0   | 4972 | 0.1353          | 0.8026 |
-| 0.1384        | 3.0   | 7458 | 0.1332          | 0.8150 |
-| 0.1384        | 4.0   | 9944 | 0.1357          | 0.8144 |
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| No log        | 1.0   | 2509  | 0.1507          | 0.7986 |
+| No log        | 2.0   | 5019  | 0.1419          | 0.8054 |
+| 0.1385        | 3.0   | 7529  | 0.1399          | 0.8077 |
+| 0.1385        | 4.0   | 10036 | 0.1446          | 0.8111 |
 
 
 ### Framework versions