update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8084323239083152
+      value: 0.8481992595085829
 ---
 
 <!-- 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: 0.3221
-- F1: 0.8084
+- Loss: 0.2703
+- F1: 0.8482
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.7725        | 1.0   | 96   | 0.3963          | 0.7269 |
-| 0.3452        | 2.0   | 192  | 0.3575          | 0.7773 |
-| 0.2494        | 3.0   | 288  | 0.3221          | 0.8084 |
+| 0.5798        | 1.0   | 191  | 0.3184          | 0.7987 |
+| 0.2651        | 2.0   | 382  | 0.2918          | 0.8259 |
+| 0.1798        | 3.0   | 573  | 0.2703          | 0.8482 |
 
 
 ### Framework versions