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