update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.85
+      value: 0.88
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.5861
-- Accuracy: 0.85
+- Loss: 0.5655
+- Accuracy: 0.88
 
 ## Model description
 
@@ -67,8 +67,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5311        | 0.98  | 14   | 0.6597          | 0.82     |
-| 0.4297        | 1.96  | 28   | 0.5861          | 0.85     |
+| 0.3836        | 0.98  | 14   | 0.5798          | 0.82     |
+| 0.3357        | 1.96  | 28   | 0.5655          | 0.88     |
 
 
 ### Framework versions