update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8638300289723342
+      value: 0.8633929588697733
 ---
 
 <!-- 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: 0.1358
-- F1: 0.8638
+- Loss: 0.1366
+- F1: 0.8634
 
 ## Model description
 
@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2591        | 1.0   | 525  | 0.1621          | 0.8206 |
-| 0.1276        | 2.0   | 1050 | 0.1379          | 0.8486 |
-| 0.082         | 3.0   | 1575 | 0.1358          | 0.8638 |
+| 0.2587        | 1.0   | 525  | 0.1542          | 0.8213 |
+| 0.1302        | 2.0   | 1050 | 0.1373          | 0.8546 |
+| 0.0827        | 3.0   | 1575 | 0.1366          | 0.8634 |
 
 
 ### Framework versions
 
 - Transformers 4.11.3
-- Pytorch 1.13.1+cu116
-- Datasets 1.16.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.9.0
 - Tokenizers 0.10.3