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lrex93497/bert_qa_classifier_pt_3
bert_qa_classifier_pt_3 is a text classification model from lrex93497. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This is a model for bert QA to classify answerable/unanswerable question for SQuAD 2.0. It trained on SQuAD 2.0 train dataset, epoch 4 (start from 1).</br For details please see https://github.com/lrex93497/fine-tune-…
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From the Hugging Face model README
This is a model for bert QA to classify answerable/unanswerable question for SQuAD 2.0. It trained on SQuAD 2.0 train dataset, epoch 4 (start from 1).</br> For details please see https://github.com/lrex93497/fine-tune-BERT-base-uncased-QA-SQuAD2.0/
<br>In our system, we achieved Exact Match (EM): 53.0784, f1: 59.1615 <br>This classifier model can have 72.6899% on distinguishing answerable and unawserable questions.