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Whisper Base Galician

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

  • Loss: 0.4754
  • Wer: 18.6879

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: 2.5e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • 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
0.0088 9.02 1000 0.4219 18.7776
0.0015 19.02 2000 0.4754 18.6879
0.0008 29.02 3000 0.5036 18.9000
0.0005 39.02 4000 0.5225 19.0553
0.0004 49.02 5000 0.5307 19.1122

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Dataset used to train zuazo/whisper-base-gl

Evaluation results