metadata
language: en
license: apache-2.0
tags:
- bias-mitigation
- social-bias
- stereotypes
- fine-tuned
- llama
- causal-lm
datasets:
- stereoset
metrics:
- stereoset-score
- bias-metrics
base_model: HuggingFaceTB/SmolLM-360M
model-index:
- name: SmolLM-360M-Bias-Mitigated
results:
- task:
type: bias-evaluation
name: Social Bias Evaluation
dataset:
name: StereoSet
type: stereoset
metrics:
- type: ss_score
value: 0.5345
name: StereoSet Score
- type: bias_severity
value: 0.0345
name: Bias Severity
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