AymanMansour / Whisper-Sudanese-Dialect-small

huggingface.co
Total runs: 36
24-hour runs: 0
7-day runs: 2
30-day runs: 11
Model's Last Updated: December 15 2022
automatic-speech-recognition

Introduction of Whisper-Sudanese-Dialect-small

Model Details of Whisper-Sudanese-Dialect-small

openai/whisper-small

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

  • Loss: 1.5091
  • Wer: 56.3216
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: 64
  • eval_batch_size: 32
  • 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
0.0157 13.0 1000 1.1631 65.9101
0.0025 26.0 2000 1.3416 58.5066
0.0009 39.01 3000 1.4238 56.6398
0.0004 52.01 4000 1.4800 56.3004
0.0002 65.01 5000 1.5091 56.3216
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-small on huggingface.co

36
Total runs
0
24-hour runs
-1
3-day runs
2
7-day runs
11
30-day runs

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Whisper-Sudanese-Dialect-small install

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