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arun100
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whisper-small-vi

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Vietnamese
whisper
whisper-event
Generated from Trainer
Eval Results
Inference Endpoints
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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: 0.8001
  • Wer: 27.7034

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 0.8001 27.7034
0.0001 249.0 2000 0.8835 33.8561
0.0 374.0 3000 0.9383 36.0386
0.0 499.0 4000 0.9755 36.2689
0.0 624.0 5000 0.9923 38.3746

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 arun100/whisper-small-vi

Evaluation results

View on Papers With Code