update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8223225276979894
+      value: 0.8247845711940912
 ---
 
 <!-- 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: 0.2562
-- F1: 0.8223
+- Loss: 0.2421
+- F1: 0.8248
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8175        | 1.0   | 70   | 0.3331          | 0.7147 |
-| 0.2807        | 2.0   | 140  | 0.2745          | 0.8045 |
-| 0.1836        | 3.0   | 210  | 0.2562          | 0.8223 |
+| 0.809         | 1.0   | 70   | 0.3380          | 0.7183 |
+| 0.2939        | 2.0   | 140  | 0.2582          | 0.7977 |
+| 0.1813        | 3.0   | 210  | 0.2421          | 0.8248 |
 
 
 ### Framework versions