BERT-base finetune (single model)

Reported on 3 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing3 results

Question AnsweringonCoQA
In-domain· 2018-10-11
79.8
best: 82.5 (BERT Large Augmented (single model))
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding arXiv:1810.04805
Question AnsweringonCoQA
Out-of-domain· 2018-10-11
74.1
best: 77.6 (BERT Large Augmented (single model))
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding arXiv:1810.04805
Question AnsweringonCoQA
Overall· 2018-10-11
78.1
best: 85 (GPT-3 175B (few-shot, k=32))
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding arXiv:1810.04805