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Whisper Small fy-NL - RuudVelo

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the test set:

  • Loss: 0.1443
  • Wer: 21.03

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: 8
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Step Validation Loss Wer
0.0053 1000 0.4201 21.64
0.0008 2000 0.4607 21.03
0.0004 3000 0.4853 21.11
0.0003 4000 0.5015 21.14
0.0002 5000 0.5084 21.20

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train RuudVelo/whisper-small-fy-NL

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Evaluation results