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Whisper Tiny Jyutping without Tones Full Version

This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 14.0 dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1820
  • eval_wer: 19.9145
  • eval_runtime: 400.8299
  • eval_samples_per_second: 6.387
  • eval_steps_per_second: 0.399
  • epoch: 0.18
  • step: 800

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
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 400
  • training_steps: 2400

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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