Text Classification on Average on NLP datasets

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	SetFit + OCD(5)	0.648	No	OCD: Learning to Overfit with Conditional Diffus...	2022-10-02	Code
2	SetFit + OCD	0.643	No	OCD: Learning to Overfit with Conditional Diffus...	2022-10-02	Code
3	T-few 3B	0.633	No	OCD: Learning to Overfit with Conditional Diffus...	2022-10-02	Code
4	SetFit	0.622	No	OCD: Learning to Overfit with Conditional Diffus...	2022-10-02	Code

#1SetFit + OCD(5)SOTA
0.648
Accuracy· 2022-10-02
OCD: Learning to Overfit with Conditional Diffusion Models Code
#2SetFit + OCD
0.643
Accuracy· 2022-10-02
OCD: Learning to Overfit with Conditional Diffusion Models Code
#3T-few 3B
0.633
Accuracy· 2022-10-02
OCD: Learning to Overfit with Conditional Diffusion Models Code
#4SetFit
0.622
Accuracy· 2022-10-02
OCD: Learning to Overfit with Conditional Diffusion Models Code