Nextayah Tiny Whisper Finetuned
This model is a fine-tuned version of tarteel-ai/whisper-tiny-ar-quran on the Synthetic Incorrect Verses dataset. It achieves the following results on the evaluation set:
- Loss: 0.0921
- Wer: 17.2504
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: 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
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0217 | 8.7719 | 500 | 0.1236 | 22.5044 |
| 0.0025 | 17.5439 | 1000 | 0.1063 | 21.0158 |
| 0.0001 | 26.3158 | 1500 | 0.0910 | 17.4256 |
| 0.0001 | 35.0877 | 2000 | 0.0921 | 17.2504 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for numan98/whisper-tiny-nextayah
Base model
tarteel-ai/whisper-tiny-ar-quran