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whisper-small-ar
mhisham/whisper-small-ar
whisper-small-ar is a automatic speech recognition model from mhisham. 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 30, 2024
- Updated
- Mar 31, 2024
- SHA
- d3fa15eb
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 Ar - Mhisham
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.1 ar dataset. It achieves the following results on the evaluation set:
- Loss: 0.3242
- Wer: 47.5347
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: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2956 | 0.42 | 1000 | 0.3930 | 50.8659 |
| 0.2776 | 0.83 | 2000 | 0.3418 | 48.6604 |
| 0.1831 | 1.25 | 3000 | 0.3358 | 47.8175 |
| 0.1638 | 1.66 | 4000 | 0.3242 | 47.5347 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Mar 30, 2024
- Updated
- Mar 31, 2024