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whisper-med-kor-en
didiudom94/whisper-med-kor-en
whisper-med-kor-en is a automatic speech recognition model from didiudom94. 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 7, 2025
- Updated
- Jan 7, 2025
- SHA
- 38184d46
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 Small Ko to En
This model is a fine-tuned version of openai/whisper-small on the Gentlemen dataset. It achieves the following results on the evaluation set:
- Loss: 1.4544
- Bleu: 0.1211
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: 8
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.6647 | 0.2253 | 1000 | 1.6390 | 0.0927 |
| 1.5514 | 0.4507 | 2000 | 1.5395 | 0.1087 |
| 1.5369 | 0.6760 | 3000 | 1.4836 | 0.1153 |
| 1.4714 | 0.9013 | 4000 | 1.4544 | 0.1211 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Jan 7, 2025
- Updated
- Jan 7, 2025