Model Card for Model ID

Classifies polarised gendered discourse for all indic languages. 0=Neutral 1=Sexist and misogynistic 2=Empowering

Model Details

Come back later at an unspecified date for further information

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 Indic Languages
License: Non commercial, no derrivatives
Paper: forthcoming

Uses

Social science research, intended for academic use - 3 labels

Bias, Risks, and Limitations

Single annotator coded the data. Painstakingly.

Recommendations

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

How to Get Started with the Model

With a bit of patience, I am still working on this model card

Training Details

Training Data

Please contact me at [email protected] for this information

Metrics

Macro Average F1 Score: 0.83

Balanced Accuracy: 0.33

Results

Come back later for an updated model card

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, in my PhD Thesis :)

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GenAMI