Document Classification on MLDoc 1.0 (test) benchmark leaderboard · SOTA2 Research

Document Classification on MLDoc 1.0 (test)

0.959Accuracy (DE)MultiFiT

Evaluation Results

Method	Links
MultiFiT2019.09		0.959	0.9607	0.9475	0.9025	0.9003	0.8765	0.9252
MultiFiT, no wiki2019.09		0.9523	0.9507	0.9465	0.893	0.8863	0.8752	0.9003
Monolingual BERT2019.09		0.9493	—	—	—	—	—	0.9217
MultiBERT2019.09		0.94	0.9515	0.932	0.8582	0.8748	0.8685	0.9072
MultiCCA2019.09		0.937	0.9445	0.9205	0.8555	0.8535	0.8565	0.873
LASER, paper2019.09		0.927	0.8875	0.908	0.8593	0.8515	0.8465	0.8898
MultiFiT, pseudo2019.09		0.9162	0.791	0.8942	0.7602	0.6957	0.6783	0.8248
MultiFiT2019.09		0.909	0.89	0.8503	0.8012	0.8055	0.7355	0.8802
LASER, code2019.09		0.8765	0.7548	0.84	0.7118	0.6458	0.6658	0.7665
LASER, paper2019.09		0.8625	0.793	0.783	0.702	0.6095	0.6725	0.7098
MultiBERT2019.09		0.8235	0.7498	0.8303	0.6827	0.6458	0.7158	0.6617
MultiCCA2019.09		0.812	0.725	0.7238	0.6938	0.6763	0.608	0.7473