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contents
Oyounghyun/contents
contents is a automatic speech recognition model from Oyounghyun. 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 25, 2024
- Updated
- Jul 3, 2024
- SHA
- a5daf6e4
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. -->
study0703
This model is a fine-tuned version of openai/whisper-base on the train dataset. It achieves the following results on the evaluation set:
- Loss: 0.1988
- Cer: 6.6313
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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.004 | 9.6154 | 1000 | 0.1731 | 6.3102 |
| 0.0007 | 19.2308 | 2000 | 0.1849 | 6.3584 |
| 0.0004 | 28.8462 | 3000 | 0.1921 | 6.4226 |
| 0.0003 | 38.4615 | 4000 | 0.1968 | 6.5992 |
| 0.0002 | 48.0769 | 5000 | 0.1988 | 6.6313 |
Framework versions
- Transformers 4.43.0.dev0
- 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
- ko
- Created
- Jun 25, 2024
- Updated
- Jul 3, 2024