AymanMansour / Whisper-Sudanese-Dialect-medium

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Total runs: 7
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 17 2022
automatic-speech-recognition

Introduction of Whisper-Sudanese-Dialect-medium

Model Details of Whisper-Sudanese-Dialect-medium

openai/whisper-medium

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2201
  • Wer: 44.6966
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: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0566 6.02 1000 0.9354 47.1998
0.0025 13.01 2000 1.0806 47.5605
0.0012 19.03 3000 1.1642 47.6665
0.0002 26.01 4000 1.1866 44.9724
0.0001 33.0 5000 1.2201 44.6966
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of AymanMansour Whisper-Sudanese-Dialect-medium on huggingface.co

7
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3-day runs
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https://huggingface.co/AymanMansour/Whisper-Sudanese-Dialect-medium

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Whisper-Sudanese-Dialect-medium install

Whisper-Sudanese-Dialect-medium is an open source model from GitHub that offers a free installation service, and any user can find Whisper-Sudanese-Dialect-medium on GitHub to install. At the same time, huggingface.co provides the effect of Whisper-Sudanese-Dialect-medium install, users can directly use Whisper-Sudanese-Dialect-medium installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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AymanMansour
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Updated:August 09 2025