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Graduation_Project_Whisper_base_s5621
Baselhany/Graduation_Project_Whisper_base_s5621
Graduation_Project_Whisper_base_s5621 is a automatic speech recognition model from Baselhany. 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 26, 2025
- Updated
- Apr 28, 2025
- SHA
- 69d5ae1b
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 base AR - BA
This model is a fine-tuned version of openai/whisper-base on the quran-ayat-speech-to-text dataset. It achieves the following results on the evaluation set:
- Loss: 0.0112
- Wer: 0.0623
- Cer: 0.0276
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0009 | 1.0 | 1340 | 0.0072 | 0.0666 | 0.0296 |
| 0.0007 | 2.0 | 2680 | 0.0068 | 0.0655 | 0.0289 |
| 0.0005 | 3.0 | 4020 | 0.0079 | 0.0608 | 0.0280 |
| 0.0003 | 4.0 | 5360 | 0.0097 | 0.0632 | 0.0290 |
| 0.0001 | 4.9966 | 6695 | 0.0113 | 0.0559 | 0.0259 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Apr 26, 2025
- Updated
- Apr 28, 2025