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: 0.1079
- Wer: 22.0984
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: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0666 | 8.7788 | 500 | 0.1351 | 27.3909 |
| 0.0073 | 17.5487 | 1000 | 0.1090 | 23.3983 |
| 0.0029 | 26.3186 | 1500 | 0.1079 | 22.0984 |
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-v2
Base model
tarteel-ai/whisper-tiny-ar-quranDataset used to train numan98/whisper-tiny-nextayah-v2
Evaluation results
- Wer on Synthetic Incorrect Versesself-reported22.098