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README.md
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- f1
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base_model:
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- FacebookAI/xlm-roberta-base
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- f1
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base_model:
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- FacebookAI/xlm-roberta-base
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---
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# Model Card for Model ID
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Classifies gendered discourse for all indic languages.
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## Model Details
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Come back later at an unspecified date for further information
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## Author Details
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Praachi Kumar
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Research Fellow
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United Nations University - MERIT
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### Model Description
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- **Developed by:** Praachi Kumar
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- **Model type:** Fine-tuned XLM-RoBERTa base for sequence classification
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- **Language(s) (NLP):** Multi Indic Languages
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- **License:** Non commercial, no derrivatives
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- **Paper:** forthcoming
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## Uses
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Social science research, intended for academic use - 3 labels
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## Bias, Risks, and Limitations
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Single annotator coded the data. Painstakingly.
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### Recommendations
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Please contact me at kumar@merit.unu.edu for instructions on further use
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## How to Get Started with the Model
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With a bit of patience, I am still working on this model card
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## Training Details
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### Training Data
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Please contact me at kumar@merit.unu.edu for this information
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#### Metrics
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Macro Average F1 Score: 0.83
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Balanced Accuracy: 0.33
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### Results
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Come back later for an updated model card
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## Citation
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**Model**
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**BibTeX:**
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@misc{genami2025,
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author = {Praachi Kumar},
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title = {genAMI},
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year = {2025},
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month = {March},
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day = {13},
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howpublished = {\url{https://doi.org/10.57967/hf/5784}}
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}
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**APA:** Kumar, P. (2025). genAMI. Hugging Face. https://doi.org/10.57967/hf/5784
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**Paper**: Forthcoming, sorry :)
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