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whisper-small-ver1
unanam/whisper-small-ver1
whisper-small-ver1 is a automatic speech recognition model from unanam. 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
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- 65f8eeda
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-ver1
This model is a fine-tuned version of openai/whisper-small on the 사극 드라마 dataset. It achieves the following results on the evaluation set:
- Loss: 8.2325
- Cer: 84.4150
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.9362 | 5.59 | 1000 | 4.0341 | 165.0697 |
| 0.5237 | 11.17 | 2000 | 5.7270 | 88.3566 |
| 0.1343 | 16.76 | 3000 | 7.0163 | 83.8232 |
| 0.0004 | 22.35 | 4000 | 8.2325 | 84.4150 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ko
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024