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Whisper Small Norwegian Bokmål

This model is a fine-tuned version of openai/whisper-small trained on NCC_S_3-NRKonly.

It is currently in the middle of a large training.

Model description

The model is trained on a large corpus of roughly 4.000 hours of voice. The sources are subtitles from the Norwegian broadcaster NRK.

Intended uses & limitations

The model will be free for everyone to use when it is finished.

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-06
  • train_batch_size: 128
  • gradient_accumulation_steps: 2
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant with warmup
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 50.000 (currently @1.000)
  • mixed_precision_training: fp16
  • deepspeed: true

Live Training results

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Datasets used to train NbAiLab/whisper-small-3NRKonly-nob

Evaluation results