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whisper-small-canto
chengyili2005/whisper-small-canto
whisper-small-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. The following results are achieved on the evaluation set using the best model: - WER: 62.24
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 24, 2025
- Updated
- Jan 3, 2026
- SHA
- 0f754282
Base models
Model card
From the Hugging Face model README
Whisper Small Canto - Chengyi Li
This model is a fine-tuned version of openai/whisper-small on the Common Voice 24.0 - Cantonese dataset. The following results are achieved on the evaluation set using the best model:
- WER: 62.24
- CER: 12.46
Model description
It's my first time fine-tuning an 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 (about 21-22 epochs)
- mixed_precision_training: Native AMP
Training results
| Step | Epoch | Training Loss | Validation Loss | CER |
|---|---|---|---|---|
| 1000 | 2.1552 | 0.081 | 0.2857 | 13.8249 |
| 2000 | 4.3103 | 0.0173 | 0.3094 | 12.7975 |
| 3000 | 6.4655 | 0.0039 | 0.3496 | 12.7571 |
| 4000 | 8.6207 | 0.0008 | 0.3721 | 12.5457 |
| 5000 | 10.7759 | 0.0006 | 0.3784 | 12.5347 |
| 6000 | 12.9310 | 0.0043 | 0.3907 | 13.0640 |
| 7000 | 15.0862 | 0.0004 | 0.4053 | 12.6560 |
| 8000 | 17.2414 | 0.0008 | 0.4123 | 12.4648 |
| 9000 | 19.3966 | 0.0002 | 0.4196 | 12.4648 |
| 10000 | 21.5517 | 0.0001 | 0.4238 | 12.5071 |
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
- Dec 24, 2025
- Updated
- Jan 3, 2026