Downloads · 30 days
2
15% of all-time downloads
Graduation_Project_distillation_Whisper_base2
Baselhany/Graduation_Project_distillation_Whisper_base2
Graduation_Project_distillation_Whisper_base2 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. --
All-time downloads
13
Public
Parameters
55.8M
38.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors223 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Jun 17, 2025
- Updated
- Jun 23, 2025
- SHA
- b72a0d36
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: 0.0030
- Wer: 0.0474
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|---|---|---|---|---|
| 0.2204 | 1.0 | 687 | 0.0043 | 0.0552 |
| 0.2768 | 2.0 | 1374 | 0.0043 | 0.0496 |
| 0.2059 | 3.0 | 2061 | 0.0039 | 0.0518 |
| 0.1445 | 4.0 | 2748 | 0.0038 | 0.0481 |
| 0.0962 | 4.9938 | 3430 | 0.0037 | 0.0458 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- ar
- Created
- Jun 17, 2025
- Updated
- Jun 23, 2025