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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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Dataset used to train cerkut/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan