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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0411
-- Accuracy: 0.9929
+- Loss: 0.0123
+- Accuracy: 0.9983
 
 ## Model description
 
@@ -37,9 +37,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- 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
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1021        | 1.0   | 625  | 0.1058          | 0.9797   |
-| 0.0229        | 2.0   | 1250 | 0.0411          | 0.9929   |
+| 0.066         | 1.0   | 1250 | 0.0775          | 0.9877   |
+| 0.0174        | 2.0   | 2500 | 0.0123          | 0.9983   |
 
 
 ### Framework versions