update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8648740833380706
+      value: 0.8743895513912551
 ---
 
 <!-- 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: 0.1365
-- F1: 0.8649
+- Loss: 0.1597
+- F1: 0.8744
 
 ## Model description
 
@@ -57,20 +57,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2553        | 1.0   | 525  | 0.1575          | 0.8279 |
-| 0.1284        | 2.0   | 1050 | 0.1386          | 0.8463 |
-| 0.0813        | 3.0   | 1575 | 0.1365          | 0.8649 |
+| 0.2589        | 1.0   | 525  | 0.1590          | 0.8195 |
+| 0.1322        | 2.0   | 1050 | 0.1578          | 0.8313 |
+| 0.093         | 3.0   | 1575 | 0.1501          | 0.8590 |
+| 0.0621        | 4.0   | 2100 | 0.1443          | 0.8682 |
+| 0.0401        | 5.0   | 2625 | 0.1597          | 0.8744 |
 
 
 ### Framework versions
 
-- Transformers 4.23.1
+- Transformers 4.24.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
-- Tokenizers 0.13.1
+- Tokenizers 0.13.2