CoolFace
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bmwrks/birdcallv1

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

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mybirdcallmodel

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

  • Loss: 3.1584
  • Accuracy: 0.26

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: 10

Training results

Training LossEpochStepValidation LossAccuracy
4.94340.99314.80160.108
4.52091.98624.38320.108
4.15732.98933.99950.108
3.82114.01253.67620.108
3.58764.991563.45860.152
3.44535.981873.32840.191
3.3136.982183.24320.21
3.23698.02503.19930.223
3.22868.992813.17120.23
3.18679.923103.15840.26

Framework versions

  • Transformers 4.38.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0