Whisper Medium Portuguese

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

  • Loss: 0.1753
  • Wer: 6.3319

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-06
  • 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: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0999 3.52 1000 0.1753 6.3319
0.0436 7.04 2000 0.2027 6.5521
0.0113 10.56 3000 0.3135 6.7361
0.0041 14.08 4000 0.3616 6.8889
0.0026 17.61 5000 0.3908 7.0565
0.0016 21.13 6000 0.4078 7.1419
0.0013 24.65 7000 0.4227 7.1534
0.001 28.17 8000 0.4343 7.1764
0.0008 31.69 9000 0.4424 7.2076
0.0008 35.21 10000 0.4464 7.2224

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.15.1
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Dataset used to train zuazo/whisper-medium-pt

Evaluation results