ast-finetuned-audioset-10-10-0.4593-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: 0.4346
- Accuracy: 0.88
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9243 | 1.0 | 225 | 0.7503 | 0.77 |
| 0.4195 | 2.0 | 450 | 0.7262 | 0.81 |
| 0.9655 | 3.0 | 675 | 0.6213 | 0.82 |
| 0.0003 | 4.0 | 900 | 0.5335 | 0.89 |
| 0.0001 | 5.0 | 1125 | 0.4133 | 0.89 |
| 0.0002 | 6.0 | 1350 | 0.4346 | 0.88 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for levente-murgas/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
Base model
MIT/ast-finetuned-audioset-10-10-0.4593