Text Classification on IMDB (test) (Calibration & Uncertainty Metrics) benchmark leaderboard · SOTA2 Research

Text Classification on IMDB (test) (Calibration & Uncertainty Metrics)

0.9447AccuracyRoBERTa

Evaluation Results

Method	Links
RoBERTa2026.03		0.9447	—	—	—	0.0154	—	—	—	0.1706	0.9238
L0GM2026.03		0.9438	—	—	—	0.0127	—	—	—	0.1586	0.9316
DeBERTa-v32026.03		0.9416	—	—	—	0.0165	—	—	—	0.1767	0.9194
BERT2026.03		0.9285	—	—	—	0.0184	—	—	—	0.1986	0.9072
DistilBERT2026.03		0.9123	—	—	—	0.0207	—	—	—	0.2245	0.8896
Transformer2026.03		0.9086	—	—	—	0.0216	—	—	—	0.2387	0.8843
L2E2024.08		0.873	—	—	—	—	0.301	—	—	—	—
DIRECTOR2026.02		0.8713	0.0407	0.8155	0.7335	0.0316	3.24	0.1931	—	—	—
HMC2024.08		0.868	—	—	—	—	0.308	—	—	—	—
DE2024.08		0.867	—	—	—	—	0.386	—	—	—	—
MCD2026.02		0.8596	0.044	0.814	0.7479	0.0418	3.47	0.2072	—	—	—
KEP2026.02		0.8576	0.0454	0.8102	0.7487	0.0551	3.79	0.2162	—	—	—
SV-DKL2026.02		0.8569	0.0558	0.7854	0.7532	0.0852	4.49	0.231	—	—	—
TS2026.02		0.8559	0.0473	0.8075	0.7545	0.0291	3.41	0.2104	—	—	—
KFLLA2026.02		0.8559	0.0471	0.8082	0.7545	0.0584	6.93	0.2186	—	—	—
Transformer2026.02		0.8559	0.0473	0.8075	0.7545	0.0696	3.95	0.2228	—	—	—
SGPA2026.02		0.8539	0.0496	0.8004	0.7644	0.0604	3.96	0.2219	—	—	—
CSGMCMC2024.08		0.848	—	—	—	—	0.401	—	—	—	—
Meta-SGMCMC2024.08		0.82	—	—	—	—	0.401	—	—	—	—