Mteb-lite

	A	B	C	D	E	F	G	H
1	Results are sorted by Full Score
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3	Rank
4	model_name	nq_top_2_only	nq_top_5_only	nq_top_10_only	nq_top_50_only	nq_top_100_only	nq_top_500_only	Full
5	nvidia--NV-Embed-v1	1	1	1	1	1	1	1
6	Salesforce--SFR-Embedding-Mistral	2	2	2	2	2	2	2
7	intfloat--e5-mistral-7b-instruct	4	4	4	3	3	3	3
8	intfloat--e5-large-v2	3	3	3	4	4	4	4
9	Alibaba-NLP--gte-base-en-v1.5	5	5	5	5	5	5	5
10	BAAI--bge-large-en-v1.5	6	6	6	6	6	6	6
11	facebook--contriever-msmarco	7	7	7	7	7	7	7
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14	Actual Score
15	model_name	nq_top_2_only	nq_top_5_only	nq_top_10_only	nq_top_50_only	nq_top_100_only	nq_top_500_only	Full
16	nvidia--NV-Embed-v1	0.94463	0.87692	0.83325	0.75838	0.7376	0.71546	0.7058
17	Salesforce--SFR-Embedding-Mistral	0.9324	0.86011	0.81118	0.72959	0.70874	0.68443	0.67531
18	intfloat--e5-mistral-7b-instruct	0.92445	0.84097	0.78552	0.6955	0.67062	0.64518	0.63588
19	intfloat--e5-large-v2	0.92979	0.84552	0.78671	0.69419	0.66958	0.64429	0.63496
20	Alibaba-NLP--gte-base-en-v1.5	0.89824	0.7853	0.71434	0.59407	0.5672	0.53932	0.53079
21	BAAI--bge-large-en-v1.5	0.8882	0.77487	0.70224	0.57959	0.55306	0.52679	0.51753
22	facebook--contriever-msmarco	0.86068	0.71905	0.62637	0.48225	0.45496	0.42857	0.41833
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25	We could also make sure the relevant doc is in the top n, this is results with those
26	adding relevant; score
27	model_name	nq_top_2_only	nq_top_5_only	nq_top_10_only	nq_top_50_only	nq_top_100_only	nq_top_500_only
28	nvidia--NV-Embed-v1	0.94463	0.87692	0.83325	0.75838	0.7376	0.71546
29	Salesforce--SFR-Embedding-Mistral	0.9324	0.86011	0.81118	0.72959	0.70874	0.68443
30	intfloat--e5-mistral-7b-instruct	0.92445	0.84097	0.78552	0.6955	0.67062	0.64518
31	intfloat--e5-large-v2	0.92979	0.84552	0.78671	0.69419	0.66958	0.64429
32	Alibaba-NLP--gte-base-en-v1.5	0.89824	0.7853	0.71434	0.59407	0.5672	0.53932
33	BAAI--bge-large-en-v1.5	0.8882	0.77487	0.70224	0.57959	0.55306	0.52679
34	facebook--contriever-msmarco	0.86068	0.71905	0.62637	0.48225	0.45496	0.42857
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36	adding relevant; rank
37	model_name	nq_top_2_only_w_correct	nq_top_5_only_w_correct	nq_top_10_only_w_correct	nq_top_50_only_w_correct	nq_top_100_only_w_correct	nq_top_500_only_w_correct
38	nvidia--NV-Embed-v1	1	1	1	1	1	1
39	Salesforce--SFR-Embedding-Mistral	2	2	2	2	2	2
40	intfloat--e5-mistral-7b-instruct	3	3	3	3	3	3
41	intfloat--e5-large-v2	4	4	4	4	4	4
42	Alibaba-NLP--gte-base-en-v1.5	5	5	5	5	5	5
43	BAAI--bge-large-en-v1.5	6	6	6	6	6	6
44	facebook--contriever-msmarco	7	7	7	7	7	7
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