ALBERT-base 11M

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Natural Language Processing2 results

Common Sense ReasoningonWinoGrande
Accuracy· 2021-04-16
52.8
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
Coreference ResolutiononWinograd Schema Challenge
Accuracy· 2021-04-16
55.4
best: 100 (PaLM 540B (fine-tuned))
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema arXiv:2104.08161