ast-finetuned-gtzan-finetuned-gtzan
This model is a fine-tuned version of ramsri818/ast-finetuned-gtzan on the GTZAN dataset.
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
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Base model
MIT/ast-finetuned-audioset-10-10-0.4593 Finetuned
ramsri818/ast-finetuned-gtzan