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Whisper Small Polish PEFT - s22678 prod

This model is a fine-tuned version of openai/openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6552

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: 0.001
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 15
  • training_steps: 10
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.36.0
  • Pytorch 2.1.0
  • Datasets 2.15.0
  • Tokenizers 0.15.1
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