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Whisper Small ru2-pl - AIIA

This model is a fine-tuned version of Maks545curve/whisper-small-ru-pl-a on the Common Voice 17 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: 3e-05
  • train_batch_size: 32
  • 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: 70
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0+cpu
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Dataset used to train Maks545curve/whisper-small-ru2-pl-a