update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8648156577150659
+      value: 0.867952522255193
 ---
 
 <!-- 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: 0.1354
-- F1: 0.8648
+- Loss: 0.1346
+- F1: 0.8680
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
 | 0.2577        | 1.0   | 525  | 0.1588          | 0.8301 |
-| 0.1323        | 2.0   | 1050 | 0.1387          | 0.8478 |
-| 0.0827        | 3.0   | 1575 | 0.1354          | 0.8648 |
+| 0.1317        | 2.0   | 1050 | 0.1365          | 0.8507 |
+| 0.0822        | 3.0   | 1575 | 0.1346          | 0.8680 |
 
 
 ### Framework versions