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mustafoyev202
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UzSTT

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Uzbek
whisper
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Eval Results
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Whisper Medium Uzbek

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

  • Loss: 0.1425
  • Wer: 28.4615

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: 8
  • eval_batch_size: 8
  • seed: 42
  • lr_scheduler_type: linear
  • training_steps: 100000
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1
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Dataset used to train mustafoyev202/UzSTT

Evaluation results