Whisper Small Hi 10 Epoch

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.02 10 2.2153 92.1993

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cpu
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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