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7wolf/wav2vec2-base-gender-classification

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

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wav2vec2-base-gender-classification

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0438
  • —Accuracy: 0.9892

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: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 6

Training results

Training LossEpochStepValidation LossAccuracy
0.15861.0870.12270.9720
0.10481.991740.11230.9717
0.09752.992610.10820.9738
0.06294.03490.08570.9813
0.04495.04360.05550.9878
0.02795.985220.04380.9892

Framework versions

  • —Transformers 4.37.2
  • —Pytorch 2.2.0
  • —Datasets 2.17.0
  • —Tokenizers 0.15.2