update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6028633675692499
+      value: 0.7519582245430809
 ---
 
 <!-- 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: 0.5922
-- F1: 0.6029
+- Loss: 0.3833
+- F1: 0.7520
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.5307        | 1.0   | 21   | 1.1565          | 0.2041 |
-| 0.9604        | 2.0   | 42   | 0.7144          | 0.5135 |
-| 0.621         | 3.0   | 63   | 0.5922          | 0.6029 |
+| 1.1831        | 1.0   | 42   | 0.6218          | 0.5872 |
+| 0.4785        | 2.0   | 84   | 0.4075          | 0.7238 |
+| 0.3028        | 3.0   | 126  | 0.3833          | 0.7520 |
 
 
 ### Framework versions