update model card README.md

README.md

@@ -18,8 +18,8 @@ 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: 0.1418
-- F1: 0.9061
+- Loss: 0.1699
+- F1: 0.8725
 
 ## Model description
 
@@ -39,8 +39,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 10
-- eval_batch_size: 10
+- 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
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5245        | 1.0   | 458  | 0.2461          | 0.8388 |
-| 0.239         | 2.0   | 916  | 0.1418          | 0.9061 |
+| 0.5975        | 1.0   | 191  | 0.2612          | 0.8237 |
+| 0.2798        | 2.0   | 382  | 0.1699          | 0.8725 |
 
 
 ### Framework versions