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: 4.2038
-- Mse: 4.2038
-- Mae: 1.3920
-- R2: 0.4837
-- Accuracy: 0.2960
+- Loss: 1.0940
+- Mse: 4.3760
+- Mae: 1.4084
+- R2: 0.4625
+- Accuracy: 0.3517
 
 ## Model description
 
@@ -45,14 +45,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:--------:|
-| 4.7951        | 1.0   | 3122 | 4.3785          | 4.3785 | 1.4333 | 0.4622 | 0.2832   |
-| 3.4027        | 2.0   | 6244 | 4.2038          | 4.2038 | 1.3920 | 0.4837 | 0.2960   |
+| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    | R2     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:--------:|
+| 0.7424        | 1.0   | 3122  | 1.1071          | 4.4286 | 1.4098 | 0.4561 | 0.3338   |
+| 0.5038        | 2.0   | 6244  | 1.1794          | 4.7177 | 1.4140 | 0.4205 | 0.3677   |
+| 0.356         | 3.0   | 9366  | 1.0717          | 4.2866 | 1.3852 | 0.4735 | 0.3581   |
+| 0.2293        | 4.0   | 12488 | 1.0940          | 4.3760 | 1.4084 | 0.4625 | 0.3517   |
 
 
 ### Framework versions