AymanMansour / Whisper-Sudanese-Dialect-large-v2

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: -2
30-day runs: -2
Model's Last Updated: December 16 2022
automatic-speech-recognition

Introduction of Whisper-Sudanese-Dialect-large-v2

Model Details of Whisper-Sudanese-Dialect-large-v2

openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9317
  • Wer: 41.0267
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: 8
  • eval_batch_size: 4
  • 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
0.5167 1.08 1000 0.7033 67.2465
0.0886 3.04 2000 0.7730 51.1880
0.0808 4.12 3000 0.7812 52.5880
0.0232 6.08 4000 0.8798 40.8570
0.001 8.04 5000 0.9317 41.0267
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of AymanMansour Whisper-Sudanese-Dialect-large-v2 on huggingface.co

6
Total runs
0
24-hour runs
-1
3-day runs
-2
7-day runs
-2
30-day runs

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Whisper-Sudanese-Dialect-large-v2 install

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