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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 :)