update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1724
-- F1: 0.8624
+- Loss: 0.1654
+- F1: 0.8590
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 24
+- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2837        | 1.0   | 1073 | 0.1858          | 0.8229 |
-| 0.1446        | 2.0   | 2146 | 0.1651          | 0.8467 |
-| 0.0917        | 3.0   | 3219 | 0.1724          | 0.8624 |
+| 0.2845        | 1.0   | 715  | 0.1831          | 0.8249 |
+| 0.1449        | 2.0   | 1430 | 0.1643          | 0.8479 |
+| 0.0929        | 3.0   | 2145 | 0.1654          | 0.8590 |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.11.0+cu113
-- Datasets 1.16.1
-- Tokenizers 0.10.3
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1