bias-type-classifier

maximuspowers/bias-type-classifier

bias-type-classifier is a text classification model from maximuspowers. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

This model was trained on a synthetic dataset of biased statements and questions, generated by Mistal 7B as part of the GUS-Net paper.

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Oct 6, 2024
Updated: Oct 29, 2024
SHA: 3bd1ef5f

Try a prompt

Base models

google-bert/bert-base-uncased

Datasets

ethical-spectacle/biased-corpus

Spaces

himel7/biasdetect

Model card

From the Hugging Face model README

How to Use

classifier = pipeline("text-classification", model="maximuspowers/bias-type-classifier") // pass in return_all_scores=True for multi-label
result = classifier("Tall people are so clumsy")

// Example Result
// [
//    {
//     "label": "physical",
//     "score": 0.9972801208496094
//    }
// ]

This model was trained on a synthetic dataset of biased statements and questions, generated by Mistal 7B as part of the GUS-Net paper.

Model Performance:

Label	F1 Score	Precision	Recall
Macro Average	0.8998	0.9213	0.8807
racial	0.8613	0.9262	0.8049
religious	0.9655	0.9716	0.9595
gender	0.9160	0.9099	0.9223
age	0.9185	0.9683	0.8737
nationality	0.9083	0.9053	0.9113
sexuality	0.9304	0.9484	0.9131
socioeconomic	0.8273	0.8727	0.7864
educational	0.8791	0.9091	0.8511
disability	0.8713	0.8762	0.8665
political	0.9127	0.8914	0.9351
physical	0.9069	0.9547	0.8635

Training Params:

Learning Rate: 5e-5 Batch Size: 16 Epochs: 3

Task: Text Classification
Library: transformers
Type: bert
License: mit
Languages: en
Created: Oct 6, 2024
Updated: Oct 29, 2024