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whisper-small-ko-general-1159h
jangmin/whisper-small-ko-general-1159h
whisper-small-ko-general-1159h is a automatic speech recognition model from jangmin. 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
- Apr 27, 2023
- Updated
- Apr 27, 2023
- SHA
- b20ebf9f
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-general-1159h
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1691
- Wer: 21.4556
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 12322
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0937 | 0.33 | 2053 | 0.2091 | 29.9076 |
| 0.0788 | 0.67 | 4106 | 0.1894 | 24.9382 |
| 0.073 | 1.0 | 6159 | 0.1779 | 24.5723 |
| 0.0499 | 1.33 | 8212 | 0.1759 | 30.7157 |
| 0.051 | 1.67 | 10265 | 0.1711 | 25.0770 |
| 0.0479 | 2.0 | 12318 | 0.1691 | 21.4556 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 27, 2023
- Updated
- Apr 27, 2023