update model card README.md

README.md

@@ -19,7 +19,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.6837988826815643
+      value: 0.7116357504215851
 ---
 
 <!-- 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: 0.3984
-- F1: 0.6838
+- Loss: 0.3999
+- F1: 0.7116
 
 ## Model description
 
@@ -50,8 +50,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1357        | 1.0   | 50   | 0.5871          | 0.4590 |
-| 0.5236        | 2.0   | 100  | 0.4412          | 0.6478 |
-| 0.3765        | 3.0   | 150  | 0.3984          | 0.6838 |
+| 0.9179        | 1.0   | 148  | 0.4641          | 0.6123 |
+| 0.4452        | 2.0   | 296  | 0.4123          | 0.6785 |
+| 0.2949        | 3.0   | 444  | 0.3999          | 0.7116 |
 
 
 ### Framework versions
 
 - Transformers 4.16.2
-- Pytorch 2.0.1+cu118
+- Pytorch 2.1.0+cu121
 - Datasets 1.16.1
-- Tokenizers 0.13.3
+- Tokenizers 0.15.0