Edit model card

Jailbreak Classifier

Classifies prompts as jailbreaks or benign. This is a fine-tune checkpoint of bert-base-uncased on the jailbreak-classification dataset.

Training Details

Training Data

Fine-tuned on the jailbreak-classification dataset.

Training Procedure

Training Hyperparameters

Second fine-tuning hyper-parameters(on train(0.8) and val(0.2))

  • learning_rate = 5e-5
  • train_batch_size = 8
  • eval_batch_size = 8
  • lr_scheduler_type = linear
  • num_train_epochs = 5.0

Fecond fine-tuning hyper-parameters(on train and test)

  • learning_rate = 1e-5
  • train_batch_size = 8
  • eval_batch_size = 8
  • lr_scheduler_type = linear
  • num_train_epochs = 3.0
Downloads last month
114
Safetensors
Model size
109M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Datasets used to train oranne55/qualifier-model3-finetune-pretrained-transformer