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whisper-small-zhTW
B20662/whisper-small-zhTW
whisper-small-zhTW is a automatic speech recognition model from B20662. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 5, 2025
- Updated
- Jun 5, 2025
- SHA
- bb4c1a46
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Small zh-TW test
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2270
- Wer: 40.2633
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: 8
- seed: 42
- optimizer: Use 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0967 | 1.4184 | 1000 | 0.1996 | 41.0066 |
| 0.0321 | 2.8369 | 2000 | 0.2062 | 41.2827 |
| 0.0049 | 4.2553 | 3000 | 0.2132 | 40.4544 |
| 0.0015 | 5.6738 | 4000 | 0.2233 | 40.4120 |
| 0.0009 | 7.0922 | 5000 | 0.2270 | 40.2633 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Jun 5, 2025
- Updated
- Jun 5, 2025