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DebateLLM
RowdyI7er/DebateLLM
DebateLLM is a machine learning model from RowdyI7er. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Fine-tuned DeBERTa-base model for multi-label logical fallacy detection in debate transcripts.
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Public
Updated Mar 28, 2026
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557 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- 62186b36
Model card
From the Hugging Face model README
DebateLLM — Multi-Label Fallacy Detection
Fine-tuned DeBERTa-base model for multi-label logical fallacy detection in debate transcripts.
Model Details
- Base model: microsoft/deberta-base
- Task: Multi-label text classification
- Fallacy classes: Ad Hominem, Straw Man, Weak Rebuttal, Unsupported Claim, Hasty Generalization, Circular Reasoning, Appeal to Emotion, False Dilemma
- Training data: 9,400 debate-style examples
- Validation F1-macro: 1.0
- Hard OOD test: 13/15
Purpose
Built as the LocalLLMClient fallback for the Explainable Debate Intelligence System (EDIS) — a GSoC 2026 proposal for DebateAI under AOSSIE.
- License
- mit
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026