Update model card to actual model

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: 0.5395
-- Accuracy: 0.85
+- Loss: 0.5169 
+- Accuracy: 0.88
 
 ## Model description
 
@@ -72,7 +72,7 @@ The following hyperparameters were used during training:
 | 0.5337        | 5.0   | 565  | 0.6655          | 0.79     |
 | 0.3694        | 6.0   | 678  | 0.6667          | 0.83     |
 | 0.4439        | 7.0   | 791  | 0.5598          | 0.86     |
-| 0.1521        | 8.0   | 904  | 0.5169          | 0.88     |
+| 0.1521        | 8.0   | 904  | **0.5169**          | **0.88**     |
 | 0.2444        | 9.0   | 1017 | 0.5024          | 0.86     |
 | 0.1085        | 10.0  | 1130 | 0.5395          | 0.85     |