update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.545472395850378
+      value: 0.8075228972942741
 ---
 
 <!-- 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: 0.0246
-- F1: 0.5455
+- Loss: 0.2985
+- F1: 0.8075
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0451        | 1.0   | 417  | 0.0310          | 0.4993 |
-| 0.0268        | 2.0   | 834  | 0.0285          | 0.5055 |
-| 0.0228        | 3.0   | 1251 | 0.0257          | 0.5366 |
-| 0.0199        | 4.0   | 1668 | 0.0251          | 0.5471 |
-| 0.018         | 5.0   | 2085 | 0.0246          | 0.5455 |
+| 0.9161        | 1.0   | 417  | 0.5816          | 0.3588 |
+| 0.5572        | 2.0   | 834  | 0.5326          | 0.4619 |
+| 0.3821        | 3.0   | 1251 | 0.3929          | 0.5508 |
+| 0.2552        | 4.0   | 1668 | 0.3149          | 0.8015 |
+| 0.1755        | 5.0   | 2085 | 0.2985          | 0.8075 |
 
 
 ### Framework versions