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Models/ST-MoE-32B 269B (fine-tuned)

ST-MoE-32B 269B (fine-tuned)

Reported on 10 benchmarks across 5 tasks · 1 paper · 8 SOTA

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

Natural Language Processing10 results

Question AnsweringonCOPA
Accuracy· 2022-02-17
99.2
best: 100 (PaLM 540B (finetuned) )
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Question AnsweringonMultiRC
F1· 2022-02-17
89.6
best: 90.1 (PaLM 540B (finetuned) )
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Question AnsweringonBoolQ
Accuracy· 2022-02-17
92.4
best: 99.87 (Mistral-Nemo 12B (HPT))
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Common Sense ReasoningonWinoGrande
Accuracy· 2022-02-17
96.1
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Common Sense ReasoningonARC (Challenge)
Accuracy· 2022-02-17
86.5
best: 96.4 (GPT-4 (few-shot, k=25))
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Common Sense ReasoningonARC (Easy)
Accuracy· 2022-02-17
95.2
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Common Sense ReasoningonReCoRD
EM· 2022-02-17
95.1
best: 95.9 (Turing NLR v5 XXL 5.4B (fine-tuned))
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Coreference ResolutiononWinograd Schema Challenge
Accuracy· 2022-02-17
96.6
best: 100 (PaLM 540B (fine-tuned))
SOTA
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Word Sense DisambiguationonWords in Context
Accuracy· 2022-02-17
77.7
best: 85.3 (COSINE + Transductive Learning)
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906
Natural Language InferenceonCommitmentBank
Accuracy· 2022-02-17
98
best: 100 (PaLM 540B (finetuned))
ST-MoE: Designing Stable and Transferable Sparse Expert Models arXiv:2202.08906