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whisper-small-mando-canto
chengyili2005/whisper-small-mando-canto
whisper-small-mando-canto is a automatic speech recognition model from chengyili2005. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of openai/whisper-small on the Common Voice 24.0 - Cantonese dataset. It achieves the following results on the evaluation set: - Best CER: 12.7222
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jan 3, 2026
- Updated
- Jan 4, 2026
- SHA
- b79cb9ef
Base models
Model card
From the Hugging Face model README
Whisper Small Mandarin -> Cantonese - Chengyi Li
This model is a fine-tuned version of openai/whisper-small on the Common Voice 24.0 - Cantonese dataset. It achieves the following results on the evaluation set:
- Best CER: 12.7222
Model description
This model was first fine-tuned on 1,000 hours of Mandarin and then 300 hours Cantonese. The final model is a Cantonese ASR model.
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Done through Google Colab Pro using the L4 GPU
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Step | Epoch | Training Loss | Validation Loss | CER |
|---|---|---|---|---|
| 1000 | 2.1552 | 0.0165 | 0.4200 | 13.7624 |
| 2000 | 4.3103 | 0.0044 | 0.4335 | 13.4187 |
| 3000 | 6.4655 | 0.0035 | 0.4366 | 13.2166 |
| 4000 | 8.6207 | 0.0009 | 0.4526 | 13.2092 |
| 5000 | 10.7759 | 0.0041 | 0.4623 | 12.7258 |
| 6000 | 12.9310 | 0.0002 | 0.4831 | 12.8821 |
| 7000 | 15.0862 | 0.0001 | 0.4738 | 12.8085 |
| 8000 | 17.2414 | 0.0 | 0.4911 | 12.7571 |
| 9000 | 19.3966 | 0.0 | 0.4940 | 12.7644 |
| 10000 | 21.5517 | 0.0 | 0.4950 | 12.7222 |
Framework versions
- Transformers 4.52.0
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- yue
- Created
- Jan 3, 2026
- Updated
- Jan 4, 2026