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whisper-small-th
napatswift/whisper-small-th
whisper-small-th is a automatic speech recognition model from napatswift. 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
- Dec 17, 2022
- Updated
- Dec 19, 2022
- SHA
- 77beda07
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 Thai
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 th,None,th_th dataset. It achieves the following results on the evaluation set:
- Loss: 0.1841
- Wer: 14.060
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|---|---|---|---|---|
| 0.0909 | 0.2 | 1000 | 0.3373 | 25.5752 |
| 0.0426 | 1.1 | 2000 | 0.2540 | 20.9739 |
| 0.0267 | 2.0 | 3000 | 0.2210 | 17.4080 |
| 0.0145 | 2.2 | 4000 | 0.2134 | 15.5675 |
| 0.0099 | 3.1 | 5000 | 0.1841 | 13.2285 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- th
- Created
- Dec 17, 2022
- Updated
- Dec 19, 2022