update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.81027009003001
+      value: 0.8322418136020152
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.3391
-- F1: 0.8103
+- Loss: 0.2887
+- F1: 0.8322
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8266        | 1.0   | 84   | 0.4860          | 0.6873 |
-| 0.3514        | 2.0   | 168  | 0.3743          | 0.7736 |
-| 0.2288        | 3.0   | 252  | 0.3391          | 0.8103 |
+| 0.6149        | 1.0   | 167  | 0.3389          | 0.7827 |
+| 0.2823        | 2.0   | 334  | 0.3090          | 0.8015 |
+| 0.1893        | 3.0   | 501  | 0.2887          | 0.8322 |
 
 
 ### Framework versions