update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.7336862635831707
+      value: 0.6378279372946183
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.0527
-- F1: 0.7337
+- Loss: 0.0742
+- F1: 0.6378
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1771        | 1.0   | 525  | 0.1185          | 0.3373 |
-| 0.1086        | 2.0   | 1050 | 0.0622          | 0.6947 |
-| 0.0663        | 3.0   | 1575 | 0.0527          | 0.7337 |
+| 0.2424        | 1.0   | 525  | 0.2543          | 0.0    |
+| 0.1994        | 2.0   | 1050 | 0.0977          | 0.5081 |
+| 0.1011        | 3.0   | 1575 | 0.0742          | 0.6378 |
 
 
 ### Framework versions