Update 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
@@ -33,7 +33,7 @@ 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: 0.5534
-- Accuracy: 0.85
+- Accuracy: 0.88
 
 ## Model description
 
@@ -76,7 +76,7 @@ The following hyperparameters were used during training:
 | 0.2399        | 7.0   | 787  | 0.6660          | 0.83     |
 | 0.2417        | 8.0   | 900  | 0.5973          | 0.84     |
 | 0.3339        | 9.0   | 1012 | 0.5669          | 0.84     |
-| 0.1585        | 9.96  | 1120 | 0.5534          | 0.85     |
+| 0.1585        | 9.96  | 1120 | 0.5534          | 0.88     |
 
 
 ### Framework versions