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MSDC-whisper-base
Mohamedshaaban2001/MSDC-whisper-base
MSDC-whisper-base is a automatic speech recognition model from Mohamedshaaban2001. 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 10, 2024
- Updated
- Apr 11, 2024
- SHA
- 799c1251
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 ar1 - Mohamed Shaaban
This model is a fine-tuned version of openai/whisper-base on the Common standard ar Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4585
- Wer: 65.2720
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 |
|---|---|---|---|---|
| 0.444 | 0.42 | 1000 | 0.5684 | 73.7587 |
| 0.4161 | 0.83 | 2000 | 0.4995 | 68.0147 |
| 0.3282 | 1.25 | 3000 | 0.4841 | 68.92 |
| 0.2915 | 1.66 | 4000 | 0.4663 | 67.6120 |
| 0.2639 | 2.08 | 5000 | 0.4585 | 65.2720 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Apr 10, 2024
- Updated
- Apr 11, 2024