Whisper Small MN - Otgonbaatar

This model is a fine-tuned version of bayartsogt/whisper-small-mn-8 on the Common Voice 11.0 dataset.

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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 300
  • training_steps: 300

Framework versions

  • Transformers 4.26.0
  • Pytorch 2.4.1+cu118
  • Datasets 3.0.0
  • Tokenizers 0.21.0
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