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Enlightir/AI_Human_Text_Detection_40K_roberta

sourceHugging Facemitupdated 2y agoView on Hugging Face
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AIHumanTextDetection40K_roberta-base-openai-detector

This model is a fine-tuned version of openai-community/roberta-base-openai-detector on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.1859
  • —Accuracy: 0.66

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 4

Training results

Training LossEpochStepValidation LossAccuracy
0.15251.045002.98920.6142
0.10472.090002.21660.706
0.05243.0135002.47190.691
0.02054.0180003.18590.66

Framework versions

  • —Transformers 4.48.3
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0