vineetsharma / whisper-tiny-finetuned-gtzan

huggingface.co
Total runs: 26
24-hour runs: 0
7-day runs: -4
30-day runs: 10
Model's Last Updated: September 15 2023
audio-classification

Introduction of whisper-tiny-finetuned-gtzan

Model Details of whisper-tiny-finetuned-gtzan

whisper-tiny-finetuned-gtzan

This model is a fine-tuned version of openai/whisper-tiny on the GTZAN dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4729
  • Accuracy: 0.91
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
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy
1.3715 1.0 113 1.4223 0.54
0.7501 2.0 226 0.9413 0.68
0.4905 3.0 339 0.5492 0.83
0.2978 4.0 452 0.5916 0.84
0.0827 5.0 565 0.4177 0.89
0.0092 6.0 678 0.5321 0.89
0.1034 7.0 791 0.5262 0.9
0.0759 8.0 904 0.4905 0.91
0.1642 9.0 1017 0.4705 0.91
0.0022 10.0 1130 0.4729 0.91
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of vineetsharma whisper-tiny-finetuned-gtzan on huggingface.co

26
Total runs
0
24-hour runs
0
3-day runs
-4
7-day runs
10
30-day runs

More Information About whisper-tiny-finetuned-gtzan huggingface.co Model

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whisper-tiny-finetuned-gtzan install

whisper-tiny-finetuned-gtzan is an open source model from GitHub that offers a free installation service, and any user can find whisper-tiny-finetuned-gtzan on GitHub to install. At the same time, huggingface.co provides the effect of whisper-tiny-finetuned-gtzan install, users can directly use whisper-tiny-finetuned-gtzan installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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