ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan-finetuned-gtzan
This model is a fine-tuned version of Joserzapata/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.4534
- Accuracy: 0.93
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: 6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4281 | 1.0 | 112 | 0.9385 | 0.81 |
| 0.1864 | 2.0 | 225 | 0.4033 | 0.88 |
| 0.0195 | 3.0 | 337 | 0.5807 | 0.91 |
| 0.0446 | 4.0 | 450 | 0.7027 | 0.89 |
| 0.0002 | 5.0 | 562 | 0.4730 | 0.93 |
| 0.0 | 6.0 | 675 | 0.4739 | 0.92 |
| 0.0 | 7.0 | 787 | 0.4585 | 0.93 |
| 0.0 | 7.96 | 896 | 0.4534 | 0.93 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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