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jayavibhav/DistillBERT-Prompt-Injection-sm

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

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DistillBERT-Prompt-Injection-sm

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0298
  • —Accuracy: 0.9937

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossAccuracy
0.03591.046880.03620.9917
0.01562.093760.02980.9937

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1