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whisper-small-vi
lamsd/whisper-small-vi
whisper-small-vi is a automatic speech recognition model from lamsd. Use it when you need speech turned into text. It is set up for peft. 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
- peft
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025
- SHA
- 8c7e81bb
Base models
Datasets
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 fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 1.0037
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: 4
- 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: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5089 | 2.0 | 100 | 1.6451 |
| 1.1752 | 4.0 | 200 | 1.3629 |
| 0.9386 | 6.0 | 300 | 1.0973 |
| 0.8485 | 8.0 | 400 | 1.0182 |
| 0.8277 | 10.0 | 500 | 1.0037 |
Framework versions
- PEFT 0.17.1
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- peft
- Type
- whisper
- License
- apache-2.0
- Created
- Sep 10, 2025
- Updated
- Sep 10, 2025