tilawah_poc_smoke

This model is a fine-tuned version of tarteel-ai/whisper-base-ar-quran on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1091
• Wer: 18.2129

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch_fused 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: 5
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0550	0.0021	25	0.1268	17.8754
0.0925	0.0043	50	0.1091	18.2129

Framework versions

• Transformers 5.5.4
• Pytorch 2.11.0+cu130
• Datasets 4.8.4
• Tokenizers 0.22.2