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ResearchFormerly WizWand

Question-Answer Entailment on QNLI (val)

77.09AUCBERTlarge-NLI-flow (target)
70.028471.861773.69575.5283Nov 2, 2020
Updated 8mo ago

Evaluation results

MethodLinks
BERTlarge-NLI-flow (target)Backbone=BERT-large, Flow Training Corpus=target, Pooling Strategy=last2avg2020.1177.09
BERTbase-NLI-flow (target)Backbone=BERT-base, Flow Training Corpus=target, Pooling Strategy=last2avg2020.1176.17
BERTlarge-NLI-flow (NLI*)Backbone=BERT-large, Flow Training Corpus=NLI* (unsupervised), Pooling Strategy=last2avg2020.1174.19
BERTbase-NLI-flow (NLI*)Backbone=BERT-base, Flow Training Corpus=NLI* (unsupervised), Pooling Strategy=last2avg2020.1172.52
BERTlarge-NLI-last2avgBackbone=BERT-large, Pooling Strategy=last2avg, Training Corpus=NLI2020.1170.41
BERTbase-NLI-last2avgBackbone=BERT-base, Pooling Strategy=last2avg, Training Corpus=NLI2020.1170.3