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ihanif/whisper-medium-urdu

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.0764M params3.1 GBsafetensors✓ 20 checksumsupdated today
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Whisper Medium Urdu

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 ur dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4685
  • Wer: 26.9801

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: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 40
  • training_steps: 300
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.3908 0.48 100 0.5148 30.7061
0.3519 0.97 200 0.4685 26.9801
0.2426 1.45 300 0.4636 28.5023

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
@article{hanif2023whisper,
  title={Whisper Medium Urdu Model},
  author={Hanif, Rahman},
  howpublished={\url{https://huggingface.co/ihanif/whisper-medium-urdu}},
  year={2023}
}