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whisper-tiny_to_korean_accent
RuidaJiang/whisper-tiny_to_korean_accent
whisper-tiny_to_korean_accent is a automatic speech recognition model from RuidaJiang. 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 15, 2025
- Updated
- Mar 15, 2025
- SHA
- c06fc103
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 Korean
This model is a fine-tuned version of openai/whisper-tiny on the Korean English dataset. It achieves the following results on the evaluation set:
- Loss: 0.2028
- Wer: 10.5854
- Vowel Wer: 40.4444
- Vowel A Wer: 11.5753
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: 2
- eval_batch_size: 1
- 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: 500
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Vowel Wer | Vowel A Wer |
|---|---|---|---|---|---|---|
| 0.1753 | 1.0173 | 1000 | 0.2164 | 10.3902 | 40.6667 | 10.2698 |
| 0.0743 | 2.0346 | 2000 | 0.2028 | 10.5854 | 40.4444 | 11.5753 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Mar 15, 2025
- Updated
- Mar 15, 2025