CoolFace
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sanalsprasad/train_debug

sourceHugging Facemitupdated 3y agoView on Hugging Face
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train_debug

This model is a fine-tuned version of openai-community/roberta-base-openai-detector on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0098
  • Accuracy: 0.999
  • Roc Auc: 1.0000

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: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracyRoc Auc
0.03361.062500.02980.9920.9999
0.00852.0125000.00980.9991.0000

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.15.0