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Whisper Small Galician

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_13_0 gl dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3555
  • Wer: 10.9875

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

Training results

Training Loss Epoch Step Validation Loss Wer
0.0214 4.04 1000 0.2737 11.5394
0.0024 9.04 2000 0.3159 11.0565
0.001 14.04 3000 0.3370 10.9944
0.0007 19.04 4000 0.3497 11.0151
0.0006 24.04 5000 0.3555 10.9875

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train zuazo/whisper-small-gl

Evaluation results