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Whisper Small Chinese

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 zh-TW dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2141
  • Wer: 40.7369

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: 8
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2575 0.2 1000 0.2207 44.9744
0.0529 1.16 2000 0.2099 41.3101
0.0212 2.13 3000 0.2183 41.5558
0.0041 3.09 4000 0.2151 41.4944
0.003 4.06 5000 0.2141 40.7369

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.10.2.dev0
  • Tokenizers 0.13.2
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Dataset used to train HappyTsai/whisper-small-zh

Evaluation results