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:
- eval_loss: 0.7828
- eval_accuracy: 0.7556
- eval_runtime: 13.7596
- eval_samples_per_second: 6.541
- eval_steps_per_second: 3.27
- epoch: 2.99
- step: 303
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 20
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for cerkut/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan
Base model
MIT/ast-finetuned-audioset-10-10-0.4593