lightborn3 / ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

huggingface.co
Total runs: 160
24-hour runs: 0
7-day runs: 158
30-day runs: 152
Model's Last Updated: Août 21 2023
audio-classification

Introduction of ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

Model Details of ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan

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:

  • Loss: 0.5683
  • Accuracy: 0.88
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
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.3114 1.0 225 0.6735 0.81
0.8219 2.0 450 0.9353 0.76
0.3919 3.0 675 0.5918 0.83
0.1734 4.0 900 0.7837 0.84
0.0006 5.0 1125 0.5700 0.88
0.0001 6.0 1350 0.6843 0.86
0.3299 7.0 1575 0.5534 0.88
0.0001 8.0 1800 0.5711 0.88
0.0001 9.0 2025 0.5704 0.88
0.0 10.0 2250 0.5683 0.88
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3

Runs of lightborn3 ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan on huggingface.co

160
Total runs
0
24-hour runs
0
3-day runs
158
7-day runs
152
30-day runs

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