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: 0.1339
-- F1: 0.8653
+- Loss: 1.3683
+- F1: 0.0
 
 ## Model description
 
@@ -39,20 +39,18 @@ 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: 1
+- eval_batch_size: 1
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 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 |
+| Training Loss | Epoch | Step  | Validation Loss | F1  |
+|:-------------:|:-----:|:-----:|:---------------:|:---:|
+| 1.3514        | 1.0   | 12580 | 1.3683          | 0.0 |
 
 
 ### Framework versions