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distilhubert-finetuned-gtzan

Audio Classification

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weiren119 commited on Jul 28, 2023

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update model card README.md

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@@ -32,7 +32,7 @@ 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: 0.5481
 - Accuracy: 0.84
 ## Model description
@@ -52,9 +52,9 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9865        | 1.0   | 113  | 1.7879          | 0.53     |
-| 1.2316        | 2.0   | 226  | 1.1546          | 0.59     |
-| 0.9779        | 3.0   | 339  | 0.8839          | 0.75     |
-| 0.7637        | 4.0   | 452  | 0.7679          | 0.75     |
-| 0.6333        | 5.0   | 565  | 0.7052          | 0.78     |
-| 0.3449        | 6.0   | 678  | 0.5723          | 0.85     |
-| 0.3993        | 7.0   | 791  | 0.5205          | 0.85     |
-| 0.1445        | 8.0   | 904  | 0.5066          | 0.84     |
-| 0.1988        | 9.0   | 1017 | 0.5332          | 0.86     |
-| 0.1541        | 10.0  | 1130 | 0.5481          | 0.84     |
 ### Framework versions

 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: 0.5973
 - Accuracy: 0.84
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- 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
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9359        | 1.0   | 57   | 1.7782          | 0.49     |
+| 1.2053        | 2.0   | 114  | 1.1174          | 0.69     |
+| 0.8559        | 3.0   | 171  | 0.8714          | 0.79     |
+| 0.6889        | 4.0   | 228  | 0.7290          | 0.79     |
+| 0.4995        | 5.0   | 285  | 0.5888          | 0.85     |
+| 0.2781        | 6.0   | 342  | 0.6412          | 0.83     |
+| 0.2084        | 7.0   | 399  | 0.5679          | 0.86     |
+| 0.1132        | 8.0   | 456  | 0.5744          | 0.85     |
+| 0.088         | 9.0   | 513  | 0.5985          | 0.84     |
+| 0.046         | 10.0  | 570  | 0.5973          | 0.84     |
 ### Framework versions