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distil-ast-audioset-finetuned-gtzan
This model is a fine-tuned version of bookbot/distil-ast-audioset on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.3866
- Accuracy: 0.9
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.7945 | 1.0 | 113 | 0.76 | 0.8481 |
| 0.4836 | 2.0 | 226 | 0.79 | 0.5647 |
| 0.2434 | 3.0 | 339 | 0.8 | 0.6345 |
| 0.2721 | 4.0 | 452 | 0.91 | 0.3684 |
| 0.0459 | 5.0 | 565 | 0.9 | 0.3387 |
| 0.0485 | 6.0 | 678 | 0.87 | 0.3720 |
| 0.0337 | 7.0 | 791 | 0.9 | 0.3439 |
| 0.0206 | 8.0 | 904 | 0.89 | 0.3630 |
| 0.1043 | 9.0 | 1017 | 0.89 | 0.3682 |
| 0.0146 | 10.0 | 1130 | 0.89 | 0.3552 |
| 0.0109 | 11.0 | 1243 | 0.4141 | 0.87 |
| 0.001 | 12.0 | 1356 | 0.4266 | 0.88 |
| 0.0006 | 13.0 | 1469 | 0.4001 | 0.91 |
| 0.0006 | 14.0 | 1582 | 0.3884 | 0.9 |
| 0.0008 | 15.0 | 1695 | 0.3881 | 0.91 |
| 0.0005 | 16.0 | 1808 | 0.3796 | 0.9 |
| 0.0005 | 17.0 | 1921 | 0.3865 | 0.9 |
| 0.0005 | 18.0 | 2034 | 0.3861 | 0.9 |
| 0.0003 | 19.0 | 2147 | 0.3879 | 0.9 |
| 0.0005 | 20.0 | 2260 | 0.3866 | 0.9 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
