RoBERTa-large 355M (0-shot)

Reported on 1 benchmark 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 Processing1 result

Common Sense ReasoningonWinoGrande
Accuracy· 2019-07-24
50
best: 96.1 (ST-MoE-32B 269B (fine-tuned))
WinoGrande: An Adversarial Winograd Schema Challenge at Scale arXiv:1907.10641