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whisper-medium-arabic
MostafaKhidr/whisper-medium-arabic
whisper-medium-arabic is a machine learning model from MostafaKhidr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Nov 27, 2024
- SHA
- c30d5f51
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 Medium Arabic - Mostafa Khedr
This model is a fine-tuned version of openai/whisper-medium on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2691
- Wer: 38.0222
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2453 | 0.4156 | 1000 | 0.3289 | 42.9602 |
| 0.2326 | 0.8313 | 2000 | 0.2976 | 42.0990 |
| 0.139 | 1.2469 | 3000 | 0.2883 | 41.0376 |
| 0.1081 | 1.6625 | 4000 | 0.2720 | 39.0763 |
| 0.0543 | 2.0781 | 5000 | 0.2691 | 38.0222 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Nov 26, 2024
- Updated
- Nov 27, 2024