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Whisper Large Portuguese

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 pt dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1503
  • Wer: 4.8385

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: 32
  • eval_batch_size: 16
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 300
  • training_steps: 1500

Training results

Training Loss Epoch Step Validation Loss Wer
0.1526 0.33 500 0.1588 4.9074
0.1046 1.3 1000 0.1510 4.8806
0.079 2.28 1500 0.1503 4.8385

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train jlondonobo/whisper-large-v2-pt-v3

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Evaluation results