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lrex93497/bert_qa_pt_3
bert_qa_pt_3 is a question answering model from lrex93497. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
This is a model for bert QA to answer question for SQuAD 2.0. It trained on SQuAD 2.0 train dataset, epoch 4 (start from 1). It itself has no ability to answer unawserable question. <brFor details please see https://g…
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From the Hugging Face model README
This is a model for bert QA to answer question for SQuAD 2.0. It trained on SQuAD 2.0 train dataset, epoch 4 (start from 1). It itself has no ability to answer unawserable question. <br>For details please see https://github.com/lrex93497/fine-tune-BERT-base-uncased-QA-SQuAD2.0/ <br><br>In our system, we achieved Exact Match (EM): 53.0784, f1: 59.1615 <br>This QA alone only have F1: 32.7591, EM:24.9474 <br>If including answerable question only, this QA alone have F1: 62.0359, EM: 46.3900