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gelectra-base-injection-pt_v1

DEPRECATED - PLEASE USE NEWER GELECTRA OR DEBERTA VERSION

This model is a fine-tuned version of deepset/gelectra-base on a closed prompt injection dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0163
  • Accuracy: 1.0

Model description

The model classifies prompts as injections or legitimate questions.

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 45 0.2042 0.9211
No log 2.0 90 0.0247 1.0
No log 3.0 135 0.0163 1.0

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Tokenizers 0.13.3
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