Whisper Small Indonesian

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

  • Loss: 1.2325
  • Wer: 85.8699

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: 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
1.6736 0.09 1000 1.4867 126.2823
1.3354 0.17 2000 1.3584 103.0219
1.4841 0.26 3000 1.2936 86.3303
1.2807 0.34 4000 1.2523 85.9477
1.2095 0.43 5000 1.2325 85.8699

Framework versions

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