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whisper-tiny-vox
David-Mazi/whisper-tiny-vox
whisper-tiny-vox is a automatic speech recognition model from David-Mazi. 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
- Jan 9, 2025
- Updated
- Jan 9, 2025
- SHA
- 4c02a40d
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 Tiny Vox - David Mazi
This model is a fine-tuned version of openai/whisper-tiny on the Whisper Trial Test Data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
- Wer: 55.6146
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: 50
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1219 | 4.0 | 100 | 0.0160 | 41.3852 |
| 0.002 | 8.0 | 200 | 0.0018 | 43.1634 |
| 0.0012 | 12.0 | 300 | 0.0011 | 54.4739 |
| 0.0009 | 16.0 | 400 | 0.0009 | 51.8634 |
| 0.0008 | 20.0 | 500 | 0.0008 | 55.6146 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Jan 9, 2025
- Updated
- Jan 9, 2025