update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6900780379041249
+      value: 0.692179700499168
 ---
 
 <!-- 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: 0.3909
-- F1: 0.6901
+- Loss: 0.3921
+- F1: 0.6922
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1446        | 1.0   | 50   | 0.6385          | 0.3858 |
-| 0.5317        | 2.0   | 100  | 0.4248          | 0.6626 |
-| 0.3614        | 3.0   | 150  | 0.3909          | 0.6901 |
+| 1.1465        | 1.0   | 50   | 0.5838          | 0.4777 |
+| 0.5055        | 2.0   | 100  | 0.4477          | 0.6374 |
+| 0.3713        | 3.0   | 150  | 0.3921          | 0.6922 |
 
 
 ### Framework versions