update model card README.md

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6410
-- Mse: 0.6410
-- Mae: 0.6143
-- R2: 0.3966
-- Accuracy: 0.5093
+- Loss: 0.6143
+- Mse: 0.6143
+- Mae: 0.6022
+- R2: 0.4218
+- Accuracy: 0.52
 
 ## Model description
 
@@ -40,8 +40,8 @@ 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: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -51,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
-| 1.0465        | 1.0   | 750  | 0.6410          | 0.6410 | 0.6143 | 0.3966 | 0.5093   |
+| 0.5241        | 1.0   | 188  | 0.6143          | 0.6143 | 0.6022 | 0.4218 | 0.52     |
 
 
 ### Framework versions