CoolFace
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golesheed/whisper-native-children-6-dutch

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

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Whisper Large V2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1506
  • —Wer: 5.1288

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: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 20
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossWer
0.42410.38300.18167.9883
0.17340.75600.15856.3247
0.13341.12900.15605.9874
0.07871.51200.14686.0718
0.07451.881500.14657.3674
0.05122.251800.14527.1297
0.03142.622100.14055.4814
0.03213.02400.13765.4125
0.01543.382700.14695.2208
0.01443.753000.14935.2515
0.0114.123300.14435.0905
0.00644.53600.15025.1058
0.0074.883900.15065.1288

Framework versions

  • —Transformers 4.38.0.dev0
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.14.6
  • —Tokenizers 0.15.0