bert-base-stage2-sbert

QuangDuy/bert-base-stage2-sbert

bert-base-stage2-sbert 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 7, 2026
Updated: Apr 8, 2026
SHA: ddcc972f

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	0.498288	0.676209	0.748665	0.824819	0.603137	0.63304	0.657852	0.57782	0.594448	0.604798	0.748665	0.824819	0.964662	0.611125
512	0.49007	0.669086	0.742501	0.818929	0.595305	0.625579	0.650532	0.569762	0.586582	0.59702	0.742501	0.818929	0.96343	0.603549
256	0.472127	0.648952	0.724969	0.804547	0.576285	0.607607	0.633454	0.551112	0.5685	0.579232	0.724969	0.804547	0.957951	0.586068
128	0.440077	0.626216	0.695795	0.778387	0.549035	0.577717	0.604581	0.522349	0.538278	0.549453	0.695795	0.778387	0.947815	0.556887

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	0.369289	0.557107	0.651015	0.782995	0.47751	0.515787	0.559141	0.451988	0.47261	0.490666	0.649112	0.781726	0.961929	0.498361
512	0.371827	0.538071	0.630711	0.769036	0.467101	0.50561	0.550864	0.444585	0.465778	0.484756	0.628807	0.767132	0.956853	0.493436
256	0.351523	0.525381	0.611675	0.765228	0.451601	0.487877	0.537285	0.428088	0.448266	0.468514	0.609772	0.763325	0.951777	0.476734
128	0.326142	0.491117	0.56599	0.729695	0.421049	0.45224	0.50528	0.3989	0.416032	0.437983	0.564086	0.727792	0.937817	0.447903

Type: modernbert
Created: Apr 7, 2026
Updated: Apr 8, 2026