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rogramss/whisper-tiny_to_british_accent_further_analysis_th

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

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Whisper tiny Chinese

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

  • Loss: 0.3769
  • Wer: 13.7767

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: 2
  • evalbatchsize: 1
  • 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: 2000

Training results

Training LossEpochStepValidation LossWer
0.05643.57145000.341514.0934
0.00097.142910000.355714.1726
0.000410.714315000.371513.8559
0.000314.285720000.376913.7767

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.1
  • Tokenizers 0.21.1