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.

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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.

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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.

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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.

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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.