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: 0.5885
-- Accuracy: 0.85
+- Loss: 0.7953
+- Accuracy: 0.83
 
 ## Model description
 
@@ -45,22 +45,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7525        | 1.0   | 113  | 1.8449          | 0.45     |
-| 1.1831        | 2.0   | 226  | 1.2524          | 0.68     |
-| 1.0426        | 3.0   | 339  | 0.9258          | 0.74     |
-| 0.7915        | 4.0   | 452  | 0.8108          | 0.78     |
-| 0.3659        | 5.0   | 565  | 0.6440          | 0.84     |
-| 0.3221        | 6.0   | 678  | 0.6358          | 0.8      |
-| 0.2171        | 7.0   | 791  | 0.6422          | 0.82     |
-| 0.2947        | 8.0   | 904  | 0.5890          | 0.85     |
-| 0.1494        | 9.0   | 1017 | 0.5541          | 0.86     |
-| 0.1633        | 10.0  | 1130 | 0.5885          | 0.85     |
+| 0.0352        | 1.0   | 113  | 0.7953          | 0.83     |
 
 
 ### Framework versions