update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8379606259464917
+      value: 0.9275221167113059
 ---
 
 <!-- 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: 0.2684
-- F1: 0.8380
+- Loss: 0.1059
+- F1: 0.9275
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5416        | 1.0   | 191  | 0.3088          | 0.7953 |
-| 0.2614        | 2.0   | 382  | 0.2822          | 0.8310 |
-| 0.1758        | 3.0   | 573  | 0.2684          | 0.8380 |
+| 0.5416        | 1.0   | 191  | 0.2322          | 0.8378 |
+| 0.2614        | 2.0   | 382  | 0.1544          | 0.8866 |
+| 0.1758        | 3.0   | 573  | 0.1059          | 0.9275 |
 
 
 ### Framework versions