CoolFace
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Ronysalem/whisper-small-commonvoice-en

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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whisper-small-commonvoice-en

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: 0.3573
  • —Wer: 14.7768

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: 3e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 50
  • —training_steps: 1000

Training results

Training LossEpochStepValidation LossWer
0.26970.4545500.248413.1027
0.31130.90911000.257113.3482
0.06711.36361500.286413.7946
0.08331.81822000.298414.3973
0.02972.27272500.312614.2411
0.02532.72733000.318114.4866
0.0163.18183500.327314.8661
0.01383.63644000.317713.9955
0.0124.09094500.333514.4866
0.00544.54555000.340114.6429
0.0045.05500.345914.5982
0.00115.45456000.353515.1339
0.00265.90916500.342215.1116
0.0016.36367000.345214.5313
0.00076.81827500.351014.6875
0.00057.27278000.354014.6429
0.00057.72738500.355414.7545
0.00058.18189000.356414.7321
0.00058.63649500.357014.7545
0.00049.090910000.357314.7768

Framework versions

  • —Transformers 4.42.3
  • —Pytorch 2.1.2
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1