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Whisper Small Indonesian

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_9_0 id dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4077
  • Wer: 19.1028

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: 4
  • eval_batch_size: 2
  • 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
0.9789 0.48 1000 0.8522 41.7483
0.7245 0.97 2000 0.7121 36.8162
0.3335 1.45 3000 0.5499 28.7141
0.2575 1.94 4000 0.4435 22.0934
0.0593 2.42 5000 0.4077 19.1028

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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Dataset used to train TheRains/cv9-special-batch4-lr4-small

Evaluation results