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Whisper Small Vietnamese

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

  • Loss: 0.9921
  • Wer: 34.2172

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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0002 124.0 1000 0.7998 21.7706
0.0001 249.0 2000 0.8833 28.9690
0.0 374.0 3000 0.9382 30.8206
0.0 499.0 4000 0.9754 34.4363
0.0 624.0 5000 0.9921 34.2172

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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Finetuned from

Dataset used to train joey234/whisper-small-vi

Evaluation results