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).
For details please see https://github.com/lrex93497/fine-tune-BERT-base-uncased-QA-SQuAD2.0/


In our system, we achieved Exact Match (EM): 53.0784, f1: 59.1615
This classifier model can have 72.6899% on distinguishing answerable and unawserable questions.

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