update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8110814419225634
+      value: 0.8088309081786251
 ---
 
 <!-- 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: 0.0672
-- F1: 0.8111
+- Loss: 0.0693
+- F1: 0.8088
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.17          | 1.0   | 191  | 0.0827          | 0.7485 |
-| 0.0794        | 2.0   | 382  | 0.0726          | 0.7898 |
-| 0.0607        | 3.0   | 573  | 0.0672          | 0.8111 |
+| 0.1717        | 1.0   | 191  | 0.0918          | 0.7209 |
+| 0.0785        | 2.0   | 382  | 0.0725          | 0.7850 |
+| 0.0609        | 3.0   | 573  | 0.0693          | 0.8088 |
 
 
 ### Framework versions