Whisper Small Dv - Sanchit Gandhi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3057
  • Wer Ortho: 56.5986
  • Wer: 10.8339

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.0657 3.26 1000 0.1608 58.2144 11.9727
0.0117 6.51 2000 0.2264 58.2213 11.2060
0.0014 9.77 3000 0.2866 57.3438 11.1069
0.0002 13.03 4000 0.3057 56.5986 10.8339

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1.dev0
  • Tokenizers 0.13.3
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Dataset used to train sanchit-gandhi/whisper-small-dv-4000-steps

Evaluation results