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ASR_Whisper_Stroke
yoona-J/ASR_Whisper_Stroke
ASR_Whisper_Stroke is a automatic speech recognition model from yoona-J. 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
- May 28, 2025
- Updated
- Jun 3, 2025
- SHA
- bce31264
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. -->
ASR_Whisper_Stroke
This model is a fine-tuned version of openai/whisper-small on the ASR_Preprocess_Stroke_Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.2559
- Cer: 14.5144
- Wer: 19.5868
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 700
- training_steps: 7000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.2408 | 1.1390 | 1000 | 0.3222 | 61.9392 | 59.4850 |
| 0.0986 | 2.2779 | 2000 | 0.2687 | 40.5623 | 49.2289 |
| 0.0566 | 3.4169 | 3000 | 0.2586 | 39.9808 | 45.3462 |
| 0.03 | 4.5558 | 4000 | 0.2521 | 21.4272 | 28.0574 |
| 0.0157 | 5.6948 | 5000 | 0.2559 | 15.1623 | 19.7908 |
| 0.0072 | 6.8337 | 6000 | 0.2517 | 16.4368 | 23.1233 |
| 0.0048 | 7.9727 | 7000 | 0.2559 | 14.5144 | 19.5868 |
Framework versions
- Transformers 4.53.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- May 28, 2025
- Updated
- Jun 3, 2025