whisper-tiny-ar-quran
This model is a fine-tuned version of openai/whisper-tiny on the None dataset.
It achieves the following results on the evaluation set:
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: 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 |
| 0.1766 |
0.05 |
500 |
0.2829 |
20.0236 |
| 0.1129 |
0.09 |
1000 |
0.1981 |
13.8364 |
| 0.0775 |
0.14 |
1500 |
0.1763 |
12.5450 |
| 0.0678 |
0.19 |
2000 |
0.1485 |
10.7302 |
| 0.0437 |
0.23 |
2500 |
0.1336 |
9.6693 |
| 0.0341 |
0.28 |
3000 |
0.1244 |
8.9602 |
| 0.0302 |
0.33 |
3500 |
0.1059 |
8.2224 |
| 0.0189 |
0.37 |
4000 |
0.1044 |
7.6902 |
| 0.0167 |
0.42 |
4500 |
0.0966 |
7.2643 |
| 0.0151 |
0.47 |
5000 |
0.0928 |
7.0535 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
