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MoneerProject
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whisper-small-quran-5

Automatic Speech Recognition
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Arabic
whisper
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xet
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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: 5000
  • mixed_precision_training: Native AMP
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Datasets used to train MoneerProject/whisper-small-quran-5