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whisper-vietnamese

This model is a fine-tuned version of duytran3112/whisper-sm-vivos on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5085
  • Wer: 142.4588
  • Cer: 144.1035

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: 16
  • eval_batch_size: 8
  • 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: 4000

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.094 3.07 1000 0.4069 121.3252 108.6949
0.0097 6.13 2000 0.4672 156.8577 132.2258
0.0022 9.2 3000 0.4975 142.9792 144.1017
0.0015 12.27 4000 0.5085 142.4588 144.1035

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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