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Whisper Small Indonesian

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

  • Loss: 0.8616
  • Wer: 43.8493

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: 0.0001
  • train_batch_size: 12
  • eval_batch_size: 6
  • 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

Training results

Training Loss Epoch Step Validation Loss Wer
0.9631 0.41 1000 1.3609 83.4771
0.7929 0.81 2000 1.1653 89.6440
0.4189 1.22 3000 1.0419 61.6497
0.3195 1.62 4000 0.9384 45.4380
0.1179 2.03 5000 0.8616 43.8493

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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Evaluation results