update model card README.md

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7585
+- Loss: 0.6921
 - Accuracy: 0.83
 
 ## Model description
@@ -67,8 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7872        | 0.98  | 14   | 0.8011          | 0.81     |
-| 0.7023        | 1.96  | 28   | 0.7585          | 0.83     |
+| 0.6845        | 0.98  | 14   | 0.7300          | 0.83     |
+| 0.5859        | 1.96  | 28   | 0.6921          | 0.83     |
 
 
 ### Framework versions