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: nan
  • Wer: 99.9870

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
0.0 0.09 1000 nan 99.9870
0.0 0.17 2000 nan 99.9870
0.0 0.26 3000 nan 99.9870
0.0 0.34 4000 nan 99.9870
0.0 0.43 5000 nan 99.9870

Framework versions

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