RoBERTa-large 355M

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· 2021-04-16
54.9
best: 96.1 (ST-MoE-32B 269B (fine-tuned))
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema arXiv:2104.08161