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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 Dutch to Frisian, since Whisper doesn't support Frisian.

It achieves the following results on the evaluation set:

  • Loss: 0.5443
  • Wer: 22.2969

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
0.0067 10.01 1000 0.4810 23.0115
0.0008 21.0 2000 0.5200 22.3576
0.0004 31.01 3000 0.5443 22.2969
0.0003 42.0 4000 0.5610 22.3719
0.0002 52.01 5000 0.5674 22.3898

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

Evaluation results