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: 0.8798
-- Accuracy: 0.83
+- Loss: 0.9118
+- Accuracy: 0.86
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9e-05
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4135        | 1.0   | 113  | 1.1206          | 0.84     |
-| 0.0018        | 2.0   | 226  | 1.4291          | 0.8      |
-| 0.0004        | 3.0   | 339  | 1.1077          | 0.83     |
-| 0.0002        | 4.0   | 452  | 0.8798          | 0.83     |
+| 0.0452        | 1.0   | 113  | 0.9822          | 0.85     |
+| 0.0089        | 2.0   | 226  | 0.9121          | 0.86     |
+| 0.0004        | 3.0   | 339  | 0.8943          | 0.86     |
+| 0.0002        | 4.0   | 452  | 0.9118          | 0.86     |
 
 
 ### Framework versions