praa/GenAMI

Model Card for Model ID

Classifies polarised gendered discourse for all indic languages.

0=Neutral 1=Sexist and misogynistic 2=Empowering

Model Details

genAMI, paper forthcoming

Author Details

Praachi Kumar

Research Fellow

United Nations University - MERIT

Model Description

• Developed by: Praachi Kumar
• Model type: Fine-tuned XLM-RoBERTa base for sequence classification
• Language(s) (NLP): Multi, focus on Indic
• License: Non commercial, no derrivatives, attribution, share alike
• Paper: Forthcoming

Uses

Social science research, intended for academic and nonacademic use

Bias, Risks, and Limitations

Social science approaches to annotation, single annotator coded

Recommendations

Please contact me at [email protected] for instructions on further use

How to Get Started with the Model

Forthcoming

Training Details

Training Data

English language Tweets

Metrics

English Tweets:

Macro Average F1 Score: 0.83

Balanced Accuracy: 0.88

Multilingual Tweets:

Macro Average F1 Score: 0.76

Balanced Accuracy: 0.76

Results

Forthcoming

Citation

Model

BibTeX:

@misc{genami2025, author = {Praachi Kumar}, title = {genAMI}, year = {2025}, month = {March}, day = {13}, howpublished = {\url{https://doi.org/10.57967/hf/5784}} }

APA: Kumar, P. (2025). genAMI. Hugging Face. https://doi.org/10.57967/hf/5784

Paper: Forthcoming

Creative Commons ND NC BY SA