update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8653070499346702
+      value: 0.8653353814644136
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +31,7 @@ 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: 0.1379
+- Loss: 0.1339
 - F1: 0.8653
 
 ## Model description
@@ -63,14 +63,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2557        | 1.0   | 525  | 0.1583          | 0.8231 |
-| 0.1269        | 2.0   | 1050 | 0.1393          | 0.8524 |
-| 0.0826        | 3.0   | 1575 | 0.1379          | 0.8653 |
+| 0.2583        | 1.0   | 525  | 0.1596          | 0.8231 |
+| 0.1262        | 2.0   | 1050 | 0.1395          | 0.8468 |
+| 0.0824        | 3.0   | 1575 | 0.1339          | 0.8653 |
 
 
 ### Framework versions
 
-- Transformers 4.26.1
-- Pytorch 1.13.1+cu116
-- Datasets 2.10.1
-- Tokenizers 0.13.2
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3