README.md

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license: apache-2.0 base_model: ntu-spml/distilhubert tags:

• generated_from_trainer datasets:
• marsyas/gtzan metrics:
• accuracy model-index:
• name: distilhubert-finetuned-gtzan results:
  • task: name: Audio Classification type: audio-classification dataset: name: GTZAN type: marsyas/gtzan config: all split: train args: all metrics:
    • name: Accuracy type: accuracy value: 0.89

distilhubert-finetuned-gtzan

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: 10

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0