GPT-3 Large 760M (0-shot)

Reported on 5 benchmarks across 3 tasks · 1 paper

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

Natural Language Processing5 results

Question AnsweringonCOPA
Accuracy· 2020-05-28
73
best: 100 (PaLM 540B (finetuned) )
Language Models are Few-Shot Learners arXiv:2005.14165
Question AnsweringonPIQA
Accuracy· 2020-05-28
72.9
best: 90.1 (Unicorn 11B (fine-tuned))
Language Models are Few-Shot Learners arXiv:2005.14165
Common Sense ReasoningonWinoGrande
Accuracy· 2020-05-28
57.4
best: 96.1 (ST-MoE-32B 269B (fine-tuned))
Language Models are Few-Shot Learners arXiv:2005.14165
Common Sense ReasoningonReCoRD
EM· 2020-05-28
82.1
best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
Language Models are Few-Shot Learners arXiv:2005.14165
Sentence CompletiononHellaSwag
Accuracy· 2020-05-28
51
best: 96.1 (CompassMTL 567M with Tailor)
Language Models are Few-Shot Learners arXiv:2005.14165