distil-ast-audioset-finetuned-gtzan-finetuned-gtzan
This model is a fine-tuned version of peterdamn/distil-ast-audioset-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.8269
- Accuracy: 0.84
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2642 | 1.0 | 225 | 1.0594 | 0.8 |
| 0.1655 | 2.0 | 450 | 0.9670 | 0.84 |
| 0.0009 | 3.0 | 675 | 0.9774 | 0.79 |
| 0.0093 | 4.0 | 900 | 0.9330 | 0.83 |
| 0.0 | 5.0 | 1125 | 0.8269 | 0.84 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
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