whisper-small-warsh-quran-v4

This model is a fine-tuned version of MoneerProject/whisper-samll-quran-v3 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0537
• eval_wer: 310.8046
• eval_runtime: 3906.9369
• eval_samples_per_second: 1.118
• eval_steps_per_second: 0.28
• epoch: 2.5195
• step: 5500

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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: 250
• training_steps: 6000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.51.1
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1