update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.85
 ---
 
 <!-- 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: 0.5690
-- Accuracy: 0.86
+- Loss: 0.6674
+- Accuracy: 0.85
 
 ## Model description
 
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5369        | 1.0   | 56   | 1.4184          | 0.69     |
-| 1.1716        | 1.99  | 112  | 1.0323          | 0.75     |
-| 0.9106        | 2.99  | 168  | 0.8989          | 0.8      |
-| 0.9016        | 4.0   | 225  | 0.7206          | 0.82     |
-| 0.6024        | 5.0   | 281  | 0.7432          | 0.81     |
-| 0.5155        | 5.99  | 337  | 0.6442          | 0.83     |
-| 0.3924        | 6.99  | 393  | 0.5743          | 0.85     |
-| 0.3956        | 7.96  | 448  | 0.5690          | 0.86     |
+| 0.3578        | 1.0   | 56   | 0.5212          | 0.87     |
+| 0.2151        | 1.99  | 112  | 0.5794          | 0.82     |
+| 0.1341        | 2.99  | 168  | 0.5627          | 0.85     |
+| 0.2137        | 4.0   | 225  | 0.5409          | 0.84     |
+| 0.0266        | 5.0   | 281  | 0.7337          | 0.81     |
+| 0.0159        | 5.99  | 337  | 0.8170          | 0.83     |
+| 0.0073        | 6.99  | 393  | 0.5477          | 0.89     |
+| 0.007         | 7.96  | 448  | 0.6674          | 0.85     |
 
 
 ### Framework versions