update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.79
+      value: 0.86
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.7463
-- Accuracy: 0.79
+- Loss: 0.5817
+- Accuracy: 0.86
 
 ## Model description
 
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8892        | 1.0   | 113  | 1.6692          | 0.58     |
-| 1.2758        | 2.0   | 226  | 1.1777          | 0.67     |
-| 1.0268        | 3.0   | 339  | 0.9362          | 0.74     |
-| 0.9103        | 4.0   | 452  | 0.8111          | 0.81     |
-| 0.7993        | 5.0   | 565  | 0.7463          | 0.79     |
+| 0.6016        | 1.0   | 113  | 0.7182          | 0.78     |
+| 0.4667        | 2.0   | 226  | 0.6449          | 0.79     |
+| 0.4518        | 3.0   | 339  | 0.6754          | 0.82     |
+| 0.2882        | 4.0   | 452  | 0.5906          | 0.84     |
+| 0.1197        | 5.0   | 565  | 0.5817          | 0.86     |
 
 
 ### Framework versions