update model card README.md

README.md

@@ -18,8 +18,8 @@ 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: 0.7416
-- Accuracy: 0.83
+- Loss: 0.7057
+- Accuracy: 0.79
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0707        | 1.0   | 57   | 2.0284          | 0.44     |
-| 1.6357        | 2.0   | 114  | 1.5908          | 0.59     |
-| 1.2311        | 3.0   | 171  | 1.2047          | 0.72     |
-| 1.0721        | 4.0   | 228  | 1.0979          | 0.72     |
-| 0.7338        | 5.0   | 285  | 0.9138          | 0.8      |
-| 0.7419        | 6.0   | 342  | 0.8302          | 0.82     |
-| 0.595         | 7.0   | 399  | 0.7976          | 0.81     |
-| 0.5258        | 8.0   | 456  | 0.7662          | 0.8      |
-| 0.4874        | 9.0   | 513  | 0.7442          | 0.82     |
-| 0.4915        | 10.0  | 570  | 0.7416          | 0.83     |
+| 2.0608        | 1.0   | 57   | 2.0361          | 0.43     |
+| 1.663         | 2.0   | 114  | 1.5387          | 0.62     |
+| 1.2399        | 3.0   | 171  | 1.2074          | 0.68     |
+| 1.0662        | 4.0   | 228  | 1.0805          | 0.65     |
+| 0.7986        | 5.0   | 285  | 0.8880          | 0.75     |
+| 0.7328        | 6.0   | 342  | 0.8037          | 0.74     |
+| 0.5891        | 7.0   | 399  | 0.7918          | 0.78     |
+| 0.5227        | 8.0   | 456  | 0.7232          | 0.79     |
+| 0.5123        | 9.0   | 513  | 0.7138          | 0.78     |
+| 0.5578        | 10.0  | 570  | 0.7057          | 0.79     |
 
 
 ### Framework versions