update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8591260810195721
+      value: 0.862053266560437
 ---
 
 <!-- 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: 0.1352
-- F1: 0.8591
+- Loss: 0.1354
+- F1: 0.8621
 
 ## Model description
 
@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.257         | 1.0   | 525  | 0.1512          | 0.8302 |
-| 0.1305        | 2.0   | 1050 | 0.1401          | 0.8447 |
-| 0.0817        | 3.0   | 1575 | 0.1352          | 0.8591 |
+| 0.254         | 1.0   | 525  | 0.1652          | 0.8254 |
+| 0.1293        | 2.0   | 1050 | 0.1431          | 0.8489 |
+| 0.0797        | 3.0   | 1575 | 0.1354          | 0.8621 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 1.10.0+cu111
+- Pytorch 1.10.0+cu113
 - Datasets 1.18.3
 - Tokenizers 0.11.0