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Nereboss/WhisperTiny15hCommonVoice0.0Augment

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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WhisperTiny15hCommonVoice0.0Augment

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

  • —Loss: 0.9043
  • —Wer: 0.4284

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: 1e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 500
  • —training_steps: 5000

Training results

Training LossEpochStepValidation LossWer
0.82150.89295001.06010.4950
0.69331.785710000.98600.4655
0.56972.678615000.95760.4548
0.48093.571420000.93560.4498
0.42834.464325000.92200.4484
0.37325.357130000.90590.4624
0.33676.2535000.90700.4315
0.31687.142940000.90120.4284
0.3118.035745000.89570.4299
0.28978.928650000.90430.4284

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.6.0
  • —Datasets 3.3.0
  • —Tokenizers 0.21.0