bert-base-stage2-sbert-v2

QuangDuy/bert-base-stage2-sbert-v2

bert-base-stage2-sbert-v2 is a machine learning model from QuangDuy. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

SentenceTransformer checkpoint fine-tuned for Vietnamese legal retrieval.

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At a glance

Model type: modernbert
Access: Public
Created: Apr 10, 2026
Updated: Apr 10, 2026
SHA: c3a81b9f

Model card

From the Hugging Face model README

bert-base-stage2-sbert

SentenceTransformer checkpoint fine-tuned for Vietnamese legal retrieval.

Evaluation

Truncate dims: [768, 512, 256, 128]

UIT-ViQuAD2.0

method	Accuracy@1	Accuracy@3	Accuracy@5	Accuracy@10	NDCG@3	NDCG@5	NDCG@10	MRR@3	MRR@5	MRR@10	Recall@5	Recall@10	Recall@100	MAP@100
BM25	0.606492	0.75565	0.805643	0.861663	0.694646	0.715313	0.733532	0.673492	0.685004	0.692583	0.805643	0.861663	0.966717	0.69741
768	0.439666	0.633201	0.711546	0.793179	0.552914	0.585221	0.611751	0.525156	0.543106	0.55413	0.711546	0.793179	0.960827	0.561602
512	0.432543	0.621148	0.702096	0.789892	0.543308	0.57661	0.605102	0.516368	0.534824	0.546642	0.702096	0.789892	0.958773	0.554129
256	0.413368	0.605533	0.686207	0.774825	0.525913	0.559013	0.587817	0.498379	0.516671	0.528646	0.686207	0.774825	0.954664	0.536549
128	0.391316	0.572935	0.652376	0.749349	0.497692	0.530387	0.561732	0.471671	0.489798	0.502725	0.652376	0.749349	0.945624	0.511337

Zalo-Legal

method	Accuracy@1	Accuracy@3	Accuracy@5	Accuracy@10	NDCG@3	NDCG@5	NDCG@10	MRR@3	MRR@5	MRR@10	Recall@5	Recall@10	Recall@100	MAP@100
BM25	0.379442	0.616751	0.69797	0.77665	0.515637	0.549114	0.57497	0.48181	0.500402	0.511188	0.696701	0.775381	0.923858	0.517283
768	0.341371	0.524112	0.611675	0.722081	0.447023	0.483089	0.518636	0.421531	0.441201	0.455775	0.611041	0.721447	0.946066	0.46543
512	0.333756	0.506345	0.582487	0.72335	0.43408	0.465382	0.511369	0.409898	0.427475	0.446424	0.581218	0.722716	0.944797	0.456143
256	0.319797	0.506345	0.583756	0.72335	0.430026	0.461954	0.507023	0.404188	0.421827	0.440389	0.583122	0.722716	0.92703	0.449293
128	0.294416	0.48731	0.585025	0.727157	0.407384	0.447667	0.492874	0.380499	0.402771	0.420987	0.584391	0.726523	0.918147	0.428892

Type: modernbert
Created: Apr 10, 2026
Updated: Apr 10, 2026