CoolFace
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golesheed/whisper-native-children-5-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: 0.1460
  • —Wer: 4.9428

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
0.44820.38300.21177.6578
0.18320.75600.15446.4124
0.13021.12900.15466.0953
0.07851.51200.14366.8765
0.07771.881500.13505.3914
0.05462.251800.14315.4069
0.03112.622100.14119.5452
0.03343.02400.13896.0334
0.01723.382700.14045.1361
0.01473.753000.14145.2754
0.01084.123300.14205.0588
0.00734.53600.14544.9273
0.0074.883900.14604.9428

Framework versions

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