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SamaYousef
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whisper-small-Arabic-finetund

Automatic Speech Recognition
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Arabic
whisper
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Whisper Small AR

This model is a fine-tuned version of openai/whisper-small on the updated_Rev3_9643_2021 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2857
  • Wer: 45.3488

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 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: 500
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0328 6.8966 1000 0.2857 45.3488

Framework versions

  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Tokenizers 0.20.3
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openai/whisper-small
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Dataset used to train SamaYousef/whisper-small-Arabic-finetund

Evaluation results