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whisper-small-final
uoseftalaat/whisper-small-final
whisper-small-final is a automatic speech recognition model from uoseftalaat. 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
- Mar 9, 2024
- Updated
- Mar 10, 2024
- SHA
- 102b8221
Base models
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 for quran recognition
This model is a fine-tuned version of openai/whisper-small on the Quran_requiters dataset. It achieves the following results on the evaluation set:
- Loss: 0.0178
- Wer: 3.3351
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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0185 | 1.62 | 500 | 0.0355 | 7.8563 |
| 0.0012 | 3.24 | 1000 | 0.0224 | 4.4525 |
| 0.0004 | 4.85 | 1500 | 0.0186 | 3.4554 |
| 0.0002 | 6.47 | 2000 | 0.0178 | 3.3351 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ara
- Created
- Mar 9, 2024
- Updated
- Mar 10, 2024