SmolLM-360M Fine-tuned for Bias Mitigation
Note: This project is intended for educational purposes only
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M specifically trained to mitigate social biases including gender, profession, race, and religion stereotypes.
Developed for the Natural Language Processing Course (Academic Year 2024-25) as part of the Master Degree in Computer science at the Univeristy of Milan.
The main repository source code can be found here: https://github.com/giovannifil-64/nlp
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Base model
HuggingFaceTB/SmolLM-360MDataset used to train gvnn/nlp-SmolLM-360M
Evaluation results
- StereoSet Score on StereoSetself-reported0.534
- Bias Severity on StereoSetself-reported0.035