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bert-finetuned-MechQA
mz516/bert-finetuned-MechQA
bert-finetuned-MechQA is a machine learning model from mz516. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a BERT-based extractive question-answering model fine-tuned on the MechQA dataset, a domain-specific QA dataset focused on mechanical engineering materials and their properties. Achieves 78.03 EM / 84.50…
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Mar 15, 2026
- Updated
- Mar 16, 2026
- SHA
- eb21b683
Model card
From the Hugging Face model README
This model is a BERT-based extractive question-answering model fine-tuned on the MechQA dataset, a domain-specific QA dataset focused on mechanical engineering materials and their properties. Achieves 78.03 EM / 84.50 F1 on the MechQA validation set.
This model was developed as part of the study: “Automatic Generation of a Mechanical Properties Question-Answering Dataset for Language Model Benchmarking: A Comparative Study of BERT, XLNet, and LLaMA Models”
- Type
- bert
- Created
- Mar 15, 2026
- Updated
- Mar 16, 2026