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Whisper Small Western Frisian (Netherlands)

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 fy-NL dataset. This is an attempt for cross lingual transfer from English to Frisian, since Whisper doesn't support Frisian.

It achieves the following results on the evaluation set:

  • Loss: 0.6915
  • Wer: 25.7665

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
0.004 17.0 1000 0.6402 26.9349
0.0006 34.01 2000 0.6915 25.7665
0.0003 51.01 3000 0.7274 25.7736
0.0002 68.01 4000 0.7456 25.8772
0.0002 86.0 5000 0.7580 25.9272

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train polixonrio/whisper-small-fy-NL-Transfer-From-EN

Evaluation results