CoolFace
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djsull/binary_classification

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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binary_classification

  • —Loss: 0.0159
  • —Precision: 1.0
  • —Recall: 1.0
  • —F1: 1.0
  • —Accuracy: 1.0

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: 5e-05
  • —trainbatchsize: 64
  • —evalbatchsize: 64
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
No log1.090.01591.01.01.01.0
No log2.0180.00301.01.01.01.0
No log3.0270.00231.01.01.01.0
No log4.0360.00281.01.01.01.0
No log5.0450.00181.01.01.01.0
No log6.0540.00111.01.01.01.0
No log7.0630.00101.01.01.01.0
No log8.0720.00101.01.01.01.0

Framework versions

  • —Transformers 4.40.2
  • —Pytorch 2.0.1
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1