update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8224755700325732
+      value: 0.8204498977505114
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,8 +29,8 @@ 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 xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2521
-- F1: 0.8225
+- Loss: 0.2399
+- F1: 0.8204
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8088        | 1.0   | 70   | 0.3423          | 0.7009 |
-| 0.2844        | 2.0   | 140  | 0.2551          | 0.8027 |
-| 0.1905        | 3.0   | 210  | 0.2521          | 0.8225 |
+| 0.709         | 1.0   | 70   | 0.3131          | 0.7515 |
+| 0.2829        | 2.0   | 140  | 0.2680          | 0.8044 |
+| 0.1891        | 3.0   | 210  | 0.2399          | 0.8204 |
 
 
 ### Framework versions