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Whisper Tiny Portuguese

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

  • Loss: 0.5191
  • Wer: 28.9653

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: 256
  • eval_batch_size: 128
  • 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
0.4763 14.08 1000 0.5686 31.3114
0.3784 28.17 2000 0.5350 30.0693
0.3286 42.25 3000 0.5239 29.2413
0.3073 56.34 4000 0.5200 29.4138
0.2971 70.42 5000 0.5191 28.9653

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-tiny-pt

Evaluation results