jailbreak_detector_v2 – AI Model by poteminr | AlphaNeural AI

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poteminr/
jailbreak_detector_v2

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text-classification

generated_from_trainer

protectai/deberta-v3-base-prompt-injection-v2

autotrain_compatible

endpoints_compatible

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jailbreak_detector_v2

This model is a fine-tuned version of protectai/deberta-v3-base-prompt-injection-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3056
Accuracy: 0.8642
F1: 0.8523

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	182	0.3056	0.8642	0.8523
No log	2.0	364	0.3350	0.8889	0.8824

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1