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:
- eval_loss: 0.1059
- eval_wer: 16.4345
- eval_runtime: 49.0992
- eval_samples_per_second: 2.037
- eval_steps_per_second: 0.265
- epoch: 68.9825
- step: 2000
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: linear
- lr_scheduler_warmup_steps: 750
- training_steps: 2500
- mixed_precision_training: Native AMP
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-v3
Base model
tarteel-ai/whisper-tiny-ar-quran