bert-base-detect-jailbreak

hurtmongoose/bert-base-detect-jailbreak

bert-base-detect-jailbreak is a text classification model from hurtmongoose. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Nov 28, 2025
Updated: Nov 29, 2025
SHA: 986c3439

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Base models

Model card

From the Hugging Face model README

bert-base-detect-jailbreak

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

Loss: 0.3486
Accuracy: 0.8931
Precision: 0.9206
Recall: 0.8657
F1: 0.8923
Balanced Accuracy: 0.8938
Mcc: 0.7879

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
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Balanced Accuracy	Mcc
No log	1.0	99	0.2730	0.9059	0.9305	0.8788	0.9039	0.9061	0.8130
0.4532	2.0	198	0.2610	0.9059	0.9548	0.8535	0.9013	0.9063	0.8165
0.2683	3.0	297	0.2622	0.9008	0.9441	0.8535	0.8966	0.9011	0.8054
0.202	4.0	396	0.2914	0.9109	0.9179	0.9040	0.9109	0.9110	0.8220
0.1308	5.0	495	0.3012	0.9135	0.9362	0.8889	0.9119	0.9137	0.8281
0.0856	6.0	594	0.3709	0.8906	0.8818	0.9040	0.8928	0.8905	0.7814
0.0622	7.0	693	0.4141	0.8957	0.8905	0.9040	0.8972	0.8956	0.7914
0.0366	8.0	792	0.4711	0.8957	0.8720	0.9293	0.8998	0.8954	0.7930
0.0262	9.0	891	0.4318	0.8982	0.8990	0.8990	0.8990	0.8982	0.7964
0.0145	10.0	990	0.4440	0.8957	0.8867	0.9091	0.8978	0.8956	0.7916

Framework versions

Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.3.0
Tokenizers 0.21.4

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 28, 2025
Updated: Nov 29, 2025