SetFit

Reported on 3 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 Processing2 results

Text ClassificationonAverage on NLP datasets
Accuracy· 2022-10-02
0.622
best: 0.648 (SetFit + OCD(5))
OCD: Learning to Overfit with Conditional Diffusion Models arXiv:2210.00471
Few-Shot Text ClassificationonAverage on NLP datasets
Accuracy· 2022-10-02
0.622
best: 0.648 (SetFit + OCD(5))
OCD: Learning to Overfit with Conditional Diffusion Models arXiv:2210.00471

Methodology1 result

ClassificationonAverage on NLP datasets
Accuracy· 2022-10-02
0.622
best: 0.648 (SetFit + OCD(5))
OCD: Learning to Overfit with Conditional Diffusion Models arXiv:2210.00471