update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8627004891366169
+      value: 0.8591509380490846
 ---
 
 <!-- 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: 0.1363
-- F1: 0.8627
+- Loss: 0.1377
+- F1: 0.8592
 
 ## Model description
 
@@ -61,9 +61,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2539        | 1.0   | 525  | 0.1697          | 0.8179 |
-| 0.1317        | 2.0   | 1050 | 0.1327          | 0.8516 |
-| 0.0819        | 3.0   | 1575 | 0.1363          | 0.8627 |
+| 0.2792        | 1.0   | 525  | 0.1578          | 0.8129 |
+| 0.1279        | 2.0   | 1050 | 0.1420          | 0.8439 |
+| 0.0836        | 3.0   | 1575 | 0.1377          | 0.8592 |
 
 
 ### Framework versions