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ast-finetuned-gtzan
kenshi777/ast-finetuned-gtzan
ast-finetuned-gtzan is a audio classification model from kenshi777. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- bsd-3-clause
- Model type
- audio-spectrogram-transformer
- Access
- Public
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- 0d0db649
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ast-finetuned-gtzan
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.4152
- Accuracy: 0.91
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7814 | 1.0 | 29 | 0.5261 | 0.85 |
| 0.3218 | 2.0 | 58 | 0.6317 | 0.75 |
| 0.1996 | 3.0 | 87 | 0.4910 | 0.85 |
| 0.0459 | 4.0 | 116 | 0.4152 | 0.91 |
| 0.0124 | 5.0 | 145 | 0.3330 | 0.9 |
| 0.0032 | 6.0 | 174 | 0.3495 | 0.9 |
| 0.0023 | 7.0 | 203 | 0.4007 | 0.9 |
| 0.0174 | 8.0 | 232 | 0.3172 | 0.89 |
| 0.0015 | 9.0 | 261 | 0.3410 | 0.9 |
| 0.0016 | 10.0 | 290 | 0.3508 | 0.91 |
Framework versions
- Transformers 5.5.3
- Pytorch 2.11.0+cu130
- Datasets 3.6.0
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- License
- bsd-3-clause
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026