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mz516/xlnet-finetuned-squad-v1
xlnet-finetuned-squad-v1 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 an XLNet-based extractive question–answering model fine-tuned on the SQuAD v1.1 dataset. It represents a general-domain QA baseline used to compare against domain-adapted models trained on the MechQA dat…
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From the Hugging Face model README
This model is an XLNet-based extractive question–answering model fine-tuned on the SQuAD v1.1 dataset. It represents a general-domain QA baseline used to compare against domain-adapted models trained on the MechQA dataset. General-domain baseline model achieving 35.27 EM / 52.22 F1 on MechQA.
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”