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whisper-small-vi
hotien2107/whisper-small-vi
whisper-small-vi is a automatic speech recognition model from hotien2107. 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
- Mar 13, 2025
- Updated
- Mar 16, 2025
- SHA
- ea48b873
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 Vi - VT
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: 0.7620
- Wer: 28.6325
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 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1304 | 2.8736 | 500 | 0.5556 | 28.9505 |
| 0.0258 | 5.7471 | 1000 | 0.6184 | 29.3563 |
| 0.0051 | 8.6207 | 1500 | 0.6678 | 29.0931 |
| 0.0015 | 11.4943 | 2000 | 0.6893 | 28.2926 |
| 0.0004 | 14.3678 | 2500 | 0.7158 | 28.5558 |
| 0.0002 | 17.2414 | 3000 | 0.7309 | 28.4900 |
| 0.0002 | 20.1149 | 3500 | 0.7452 | 28.4571 |
| 0.0002 | 22.9885 | 4000 | 0.7527 | 28.4790 |
| 0.0002 | 25.8621 | 4500 | 0.7596 | 28.5887 |
| 0.0001 | 28.7356 | 5000 | 0.7620 | 28.6325 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- vi
- Created
- Mar 13, 2025
- Updated
- Mar 16, 2025