README.md

bert-tiny-stage2-sbert

SentenceTransformer checkpoint fine-tuned for Vietnamese legal retrieval.

Evaluation

• Dataset: another-symato/VMTEB-Zalo-legel-retrieval-wseg
• Split: train
• Truncate dims: [384, 256, 128, 64]

dim	Accuracy@1	Accuracy@3	Accuracy@5	Accuracy@10	NDCG@3	NDCG@5	NDCG@10	MRR@3	MRR@5	MRR@10	MAP@100
384	0.203443	0.340767	0.418232	0.524648	0.282964	0.314989	0.349523	0.263041	0.280882	0.295201	0.305581
256	0.193662	0.339202	0.409233	0.511737	0.277548	0.306474	0.339769	0.256325	0.272424	0.286249	0.296624
128	0.175665	0.321205	0.391236	0.482394	0.259807	0.288579	0.318217	0.238654	0.254577	0.266897	0.277913
64	0.14241	0.2723	0.351721	0.442879	0.216473	0.249186	0.278849	0.197314	0.215467	0.227817	0.238123