CoolFace
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djsull/sentence_classification

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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sentence_classification

  • —Loss: 0.0744
  • —Precision: 0.9707
  • —Recall: 0.97
  • —F1: 0.9698
  • —Accuracy: 0.97

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: 6

Training results

Training LossEpochStepValidation LossPrecisionRecallF1Accuracy
No log1.0180.17910.95240.950.94970.95
No log2.0360.09870.97070.970.96980.97
No log3.0540.09580.98080.980.98000.98
No log4.0720.08390.98080.980.97970.98
No log5.0900.07440.97070.970.96980.97
No log6.01080.07930.97070.970.96980.97

Framework versions

  • —Transformers 4.42.3
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.18.0
  • —Tokenizers 0.19.1