CoolFace
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Displate/adultbert-content-classification-large

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

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AdultBERT-l

This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2009
  • Accuracy: 0.9479

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: 2e-05
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracy
0.17421.0124220.16530.9482
0.11242.0248440.20090.9479

Framework versions

  • Transformers 4.48.0
  • Pytorch 2.5.1
  • Datasets 3.2.0
  • Tokenizers 0.21.0