LOGIC-NL-Flan-T5-Large

Model Card for Model ID

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This model is part of LLMs (Logic Language Models) fine-tuned to answer logic problems, particularly syllogisms, containing premises and conclusions. The model is based on Flan-T5-Large and fine-tuned in Natural Language (NL).

Model Details

Model Description

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• Developed by: Hanna Abi Akl
• Model type: Logic Language Model
• Language(s) (NLP): English
• License: MIT
• Finetuned from model: Flan-T5-Large

Uses

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Direct Use

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This model is to be used on logical datasets of premises and conclusions. It can answer True, False of Uncertain to logic problems.

Downstream Use

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The model can be fine-tuned on logical datasets similar to FOLIO.

Training Details

Training Data

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• Folio
• SemEval 2026 Task 11.1

Training Procedure

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Supervised Fine-Tuning (SFT)

Speeds, Sizes, Times

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A100 GPU

Testing Data, Factors & Metrics

Testing Data

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• SemEval 2026 Task 11.1

Metrics

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• Accuracy
• Precision
• Recall
• F1

Environmental Impact

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• Hardware Type: A100 GPU
• Hours used: 2
• Cloud Provider: Google Cloud
• Carbon Emitted: 0.14