update model card README.md

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6951
-- Accuracy: 0.5314
+- Loss: 1.8010
+- Accuracy: 0.5115
 
 ## Model description
 
@@ -37,21 +37,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - 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 | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.8265        | 1.0   | 10477 | 1.7803          | 0.5103   |
-| 1.6303        | 2.0   | 20954 | 1.7133          | 0.5224   |
-| 1.4725        | 3.0   | 31431 | 1.6951          | 0.5314   |
+| 1.9938        | 1.0   | 10477 | 1.9427          | 0.4726   |
+| 1.8313        | 2.0   | 20954 | 1.8492          | 0.4938   |
+| 1.7042        | 3.0   | 31431 | 1.8031          | 0.5019   |
+| 1.5338        | 4.0   | 41908 | 1.7811          | 0.5123   |
+| 1.3984        | 5.0   | 52385 | 1.8010          | 0.5115   |
 
 
 ### Framework versions