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Whisper Tiny Chinese (Taiwanese Mandarin)

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

  • Loss: 0.4879
  • Wer: 68.8434

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: 64
  • eval_batch_size: 32
  • 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
0.1221 6.02 1000 0.4879 68.8434
0.0119 13.02 2000 0.5567 70.2354
0.004 20.01 3000 0.5890 70.6244
0.0027 27.0 4000 0.6128 72.4053
0.0021 33.02 5000 0.6177 71.9140

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train xmzhu/whisper-tiny-zh-TW

Evaluation results