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: 0.3078
-- Accuracy: 0.9031
+- Loss: 0.2083
+- Accuracy: 0.9365
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 64
+- eval_batch_size: 128
 - 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 |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3282        | 1.0   | 38170 | 0.3190          | 0.8992   |
-| 0.3325        | 2.0   | 76340 | 0.3078          | 0.9031   |
+| 0.2304        | 1.0   | 45257 | 0.2162          | 0.9343   |
+| 0.2181        | 2.0   | 90514 | 0.2083          | 0.9365   |
 
 
 ### Framework versions