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whisper-small-vi
sonkn/whisper-small-vi
whisper-small-vi is a automatic speech recognition model from sonkn. 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 17, 2024
- Updated
- Aug 1, 2024
- SHA
- 8d8ae11e
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 - Sonkn
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: 0.5243
- Wer: 28.7751
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: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3284 | 0.1149 | 20 | 0.5643 | 29.8388 |
| 0.2493 | 0.2299 | 40 | 0.5457 | 29.1150 |
| 0.2381 | 0.3448 | 60 | 0.5389 | 29.4550 |
| 0.1865 | 0.4598 | 80 | 0.5303 | 28.9615 |
| 0.1918 | 0.5747 | 100 | 0.5243 | 28.7751 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- vi
- Created
- Jun 17, 2024
- Updated
- Aug 1, 2024