hemitpatel/political_concept_classifer

Political Concept Classifier (Phi-3 LoRA)

A LoRA-fine-tuned Phi-3 model for classifying political text excerpts into key concepts. This model is designed to help analyze political content in articles, speeches, social media, or other text sources.

Model Overview

• —Base model: Phi-3
• —Fine-tuning method: LoRA (Low-Rank Adaptation)
• —Task: Text classification
• —Concepts:

• —Economy
• —Immigration
• —Healthcare
• —[Additional categories if applicable]

This model predicts the most relevant political concept for a given text input.

Intended Use

• —Research and analysis of political text.
• —Classifying statements, articles, or reports according to key political topics.
• —Supporting journalists, analysts, or educators in understanding political content trends.

Limitations

• —Predictions are dependent on the training dataset and may misclassify ambiguous or out-of-domain text.
• —Designed for analysis purposes; not legal, medical, or policy advice.
• —May not capture nuances outside the trained categories.

Training Details

• —Fine-tuned with LoRA for efficient adaptation while preserving Phi-3’s pretrained knowledge.
• —Trained on a dataset of labeled political text excerpts spanning multiple categories.