whisper-sm-vivos

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2370
  • Wer: 54.8563

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
0.1265 1.37 1000 0.2178 35.8845
0.062 2.74 2000 0.2138 49.8446
0.0169 4.12 3000 0.2273 52.2922
0.012 5.49 4000 0.2370 54.8563

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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