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Whisper Small Tatar - Kirill Milintsevich

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4745
  • Wer: 29.1407

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: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0415 4.98 1000 0.3252 29.9512
0.0041 9.95 2000 0.3982 29.4805
0.0007 14.93 3000 0.4457 29.1513
0.0003 19.9 4000 0.4665 29.0912
0.0002 24.88 5000 0.4745 29.1407
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Dataset used to train 501Good/whisper-small-tt

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Evaluation results