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whisper-medium-vietnamese

Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
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whisper-medium-vietnamese / README.md
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metadata
license: apache-2.0
base_model: JRHuy/whisper-vietnamese-2
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: whisper-medium-vietnamese
    results: []

whisper-medium-vietnamese

This model is a fine-tuned version of JRHuy/whisper-vietnamese-2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4836
  • Wer: 15.8204
  • Cer: 8.7789

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.0069 2.87 1000 0.4490 16.3409 9.1222
0.0042 5.73 2000 0.4687 15.7427 8.5273
0.0033 8.6 3000 0.4829 15.6754 8.5060
0.0022 11.46 4000 0.4836 15.8204 8.7789

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3