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whisper-Large-ArabicEnglish
MostafaKhidr/whisper-Large-ArabicEnglish
whisper-Large-ArabicEnglish is a automatic speech recognition model from MostafaKhidr. 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
- Nov 28, 2024
- Updated
- Nov 29, 2024
- SHA
- d2ba3e55
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 Large ArabicEnglish - Mostafa Khedr
This model is a fine-tuned version of openai/whisper-large-v2 on the arabic-english-code-switching dataset. It achieves the following results on the evaluation set:
- Loss: 0.7108
- Wer: 31.6184
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.558 | 0.6748 | 1000 | 0.5802 | 46.1378 |
| 0.3725 | 1.3495 | 2000 | 0.5258 | 43.1008 |
| 0.2131 | 2.0243 | 3000 | 0.5152 | 34.4890 |
| 0.204 | 2.6991 | 4000 | 0.5111 | 37.8727 |
| 0.1012 | 3.3738 | 5000 | 0.5475 | 34.1839 |
| 0.0593 | 4.0486 | 6000 | 0.5693 | 33.2686 |
| 0.0436 | 4.7233 | 7000 | 0.5895 | 33.0190 |
| 0.0189 | 5.3981 | 8000 | 0.6472 | 31.9235 |
| 0.0063 | 6.0729 | 9000 | 0.6850 | 32.2701 |
| 0.0046 | 6.7476 | 10000 | 0.7108 | 31.6184 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 28, 2024
- Updated
- Nov 29, 2024