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whisper-small-cn
Svetlana0303/whisper-small-cn
whisper-small-cn is a automatic speech recognition model from Svetlana0303. 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 29, 2024
- Updated
- Apr 29, 2024
- SHA
- dd654f14
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 CN - my voice
This model is a fine-tuned version of openai/whisper-small on the my_CN_ds dataset. It achieves the following results on the evaluation set:
- Loss: 0.7879
- Wer: 100.0
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: 50
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0 | 100.0 | 100 | 0.7750 | 100.0 |
| 0.0 | 200.0 | 200 | 0.7819 | 100.0 |
| 0.0 | 300.0 | 300 | 0.7860 | 100.0 |
| 0.0 | 400.0 | 400 | 0.7879 | 100.0 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- cn
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024