Whisper Nextayah Tiny
This model is a fine-tuned version of tarteel-ai/whisper-tiny-ar-quran on the Synth verses dataset. It achieves the following results on the evaluation set:
- Loss: 0.0659
- Wer: 20.2519
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
- 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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1019 | 1.0753 | 100 | 0.0978 | 26.5827 |
| 0.0481 | 2.1505 | 200 | 0.0843 | 24.7265 |
| 0.0137 | 3.2258 | 300 | 0.0715 | 21.5777 |
| 0.0042 | 4.3011 | 400 | 0.0659 | 20.2519 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 2
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for numan98/whisper-tiny-nextayah-v5
Base model
tarteel-ai/whisper-tiny-ar-quran