update model card README.md

README.md

@@ -31,7 +31,7 @@ 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: 0.5858
+- Loss: 0.6273
 - Accuracy: 0.84
 
 ## Model description
@@ -51,29 +51,34 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - 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: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1135        | 1.0   | 57   | 2.0010          | 0.35     |
-| 1.534         | 2.0   | 114  | 1.4522          | 0.64     |
-| 1.1237        | 3.0   | 171  | 1.0933          | 0.73     |
-| 0.9954        | 4.0   | 228  | 0.9852          | 0.77     |
-| 0.7052        | 5.0   | 285  | 0.7870          | 0.83     |
-| 0.6404        | 6.0   | 342  | 0.7186          | 0.79     |
-| 0.5386        | 7.0   | 399  | 0.6662          | 0.83     |
-| 0.4455        | 8.0   | 456  | 0.6262          | 0.84     |
-| 0.387         | 9.0   | 513  | 0.5934          | 0.86     |
-| 0.3174        | 10.0  | 570  | 0.5858          | 0.84     |
+| 2.253         | 1.0   | 57   | 2.2124          | 0.43     |
+| 1.8499        | 2.0   | 114  | 1.7776          | 0.56     |
+| 1.4569        | 3.0   | 171  | 1.4535          | 0.69     |
+| 1.3715        | 4.0   | 228  | 1.2296          | 0.74     |
+| 1.097         | 5.0   | 285  | 1.0841          | 0.73     |
+| 0.9876        | 6.0   | 342  | 0.9591          | 0.76     |
+| 0.8501        | 7.0   | 399  | 0.8912          | 0.75     |
+| 0.8233        | 8.0   | 456  | 0.8314          | 0.75     |
+| 0.7055        | 9.0   | 513  | 0.7713          | 0.77     |
+| 0.5709        | 10.0  | 570  | 0.7053          | 0.81     |
+| 0.4924        | 11.0  | 627  | 0.7325          | 0.79     |
+| 0.4679        | 12.0  | 684  | 0.6562          | 0.8      |
+| 0.496         | 13.0  | 741  | 0.6376          | 0.85     |
+| 0.3827        | 14.0  | 798  | 0.6331          | 0.84     |
+| 0.4118        | 15.0  | 855  | 0.6273          | 0.84     |
 
 
 ### Framework versions