update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8625641025641025
+      value: 0.860127157129882
 ---
 
 <!-- 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: 0.1350
-- F1: 0.8626
+- Loss: 0.1353
+- F1: 0.8601
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2585        | 1.0   | 525  | 0.1580          | 0.8255 |
-| 0.1282        | 2.0   | 1050 | 0.1381          | 0.8447 |
-| 0.0805        | 3.0   | 1575 | 0.1350          | 0.8626 |
+| 0.2537        | 1.0   | 525  | 0.1713          | 0.8219 |
+| 0.131         | 2.0   | 1050 | 0.1394          | 0.8492 |
+| 0.0824        | 3.0   | 1575 | 0.1353          | 0.8601 |
 
 
 ### Framework versions