CoolFace
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shg1421/whisper-small-decoder

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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Whisper

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

  • Loss: 0.3409
  • Wer: 10.5283

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
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 500
  • training_steps: 4000
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossWer
0.03054.5510000.247111.1359
0.01179.0920000.316810.3795
0.002413.6430000.331210.4291
0.000618.1840000.340910.5283

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 1.12.1+cu102
  • Datasets 2.15.0
  • Tokenizers 0.15.0