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whisper-small-vi
thuntm/whisper-small-vi
whisper-small-vi is a automatic speech recognition model from thuntm. 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 3, 2024
- Updated
- Mar 4, 2024
- SHA
- 230d357f
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
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: 0.4960
- Wer: 27.3824
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4293 | 0.57 | 100 | 0.5413 | 30.4968 |
| 0.1435 | 1.15 | 200 | 0.5100 | 28.3693 |
| 0.142 | 1.72 | 300 | 0.5073 | 28.0184 |
| 0.0714 | 2.3 | 400 | 0.5034 | 27.7443 |
| 0.0648 | 2.87 | 500 | 0.4960 | 27.3824 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- vi
- Created
- Mar 3, 2024
- Updated
- Mar 4, 2024