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 [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4543
-- Accuracy: 0.8780
+- Loss: 0.3382
+- Accuracy: 0.9019
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 128
+- eval_batch_size: 256
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7941        | 1.0   | 4929 | 0.5998          | 0.8557   |
-| 0.5703        | 2.0   | 9858 | 0.4543          | 0.8780   |
+| 0.5322        | 1.0   | 2865 | 0.4202          | 0.8942   |
+| 0.3652        | 2.0   | 5730 | 0.3382          | 0.9019   |
 
 
 ### Framework versions