update NanoBEIR results (#84)
Browse files- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoArguAnaRetrieval.json +6 -6
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoClimateFeverRetrieval.json +142 -142
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoDBPediaRetrieval.json +143 -143
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoFEVERRetrieval.json +139 -139
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoFiQA2018Retrieval.json +143 -143
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoHotpotQARetrieval.json +136 -136
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoMSMARCORetrieval.json +2 -2
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoNFCorpusRetrieval.json +143 -143
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoNQRetrieval.json +132 -132
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoQuoraRetrieval.json +131 -131
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoSCIDOCSRetrieval.json +143 -143
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoSciFactRetrieval.json +123 -123
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoTouche2020Retrieval.json +143 -143
- results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/model_meta.json +1 -123
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoArguAnaRetrieval.json +46 -46
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoClimateFeverRetrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoDBPediaRetrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoFEVERRetrieval.json +139 -139
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoFiQA2018Retrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoHotpotQARetrieval.json +137 -137
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoMSMARCORetrieval.json +2 -2
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoNFCorpusRetrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoNQRetrieval.json +127 -127
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoQuoraRetrieval.json +126 -126
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoSCIDOCSRetrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoSciFactRetrieval.json +127 -127
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoTouche2020Retrieval.json +143 -143
- results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/model_meta.json +1 -1
results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoArguAnaRetrieval.json
CHANGED
@@ -1,7 +1,7 @@
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results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/NanoClimateFeverRetrieval.json
CHANGED
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results/intfloat__multilingual-e5-small/fd1525a9fd15316a2d503bf26ab031a61d056e98/model_meta.json
CHANGED
@@ -1,123 +1 @@
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|
1 |
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|
2 |
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6 |
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|
10 |
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"aze_Latn",
|
11 |
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"bel_Latn",
|
12 |
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|
13 |
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"ben_Latn",
|
14 |
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"ben_Beng",
|
15 |
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|
16 |
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"bos_Latn",
|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
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|
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|
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|
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|
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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|
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|
48 |
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|
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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"msa_Latn",
|
65 |
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"mya_Latn",
|
66 |
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|
67 |
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"nld_Latn",
|
68 |
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|
69 |
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|
70 |
-
"ori_Latn",
|
71 |
-
"pan_Latn",
|
72 |
-
"pol_Latn",
|
73 |
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"pus_Latn",
|
74 |
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"por_Latn",
|
75 |
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"ron_Latn",
|
76 |
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|
77 |
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"san_Latn",
|
78 |
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"snd_Latn",
|
79 |
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"sin_Latn",
|
80 |
-
"slk_Latn",
|
81 |
-
"slv_Latn",
|
82 |
-
"som_Latn",
|
83 |
-
"sqi_Latn",
|
84 |
-
"srp_Latn",
|
85 |
-
"sun_Latn",
|
86 |
-
"swe_Latn",
|
87 |
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"swa_Latn",
|
88 |
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"tam_Latn",
|
89 |
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"tam_Taml",
|
90 |
-
"tel_Latn",
|
91 |
-
"tel_Telu",
|
92 |
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"tha_Latn",
|
93 |
-
"tgl_Latn",
|
94 |
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"tur_Latn",
|
95 |
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"uig_Latn",
|
96 |
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"ukr_Latn",
|
97 |
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"urd_Latn",
|
98 |
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"urd_Arab",
|
99 |
-
"uzb_Latn",
|
100 |
-
"vie_Latn",
|
101 |
-
"xho_Latn",
|
102 |
-
"yid_Latn",
|
103 |
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"zho_Hant",
|
104 |
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"zho_Hans"
|
105 |
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|
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|
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|
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|
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|
113 |
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|
114 |
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|
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|
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|
118 |
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|
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|
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|
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|
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|
1 |
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results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoArguAnaRetrieval.json
CHANGED
@@ -1,7 +1,7 @@
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|
1 |
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
"scores": {
|
6 |
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results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoNQRetrieval.json
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results/sentence-transformers__paraphrase-multilingual-MiniLM-L12-v2/bf3bf13ab40c3157080a7ab344c831b9ad18b5eb/NanoQuoraRetrieval.json
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{"name": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "revision": "bf3bf13ab40c3157080a7ab344c831b9ad18b5eb", "release_date": "2019-11-01", "languages": ["ara_Arab", "bul_Cyrl", "cat_Latn", "ces_Latn", "dan_Latn", "deu_Latn", "ell_Grek", "eng_Latn", "spa_Latn", "est_Latn", "fas_Arab", "fin_Latn", "fra_Latn", "fra_Latn", "glg_Latn", "guj_Gujr", "heb_Hebr", "hin_Deva", "hrv_Latn", "hun_Latn", "hye_Armn", "ind_Latn", "ita_Latn", "jpn_Jpan", "kat_Geor", "kor_Hang", "kur_Arab", "lit_Latn", "lav_Latn", "mkd_Cyrl", "mon_Cyrl", "mar_Deva", "msa_Latn", "mya_Mymr", "nob_Latn", "nld_Latn", "pol_Latn", "por_Latn", "por_Latn", "ron_Latn", "rus_Cyrl", "slk_Latn", "slv_Latn", "sqi_Latn", "srp_Cyrl", "swe_Latn", "tha_Thai", "tur_Latn", "ukr_Cyrl", "urd_Arab", "vie_Latn", "zho_Hans", "zho_Hant"], "n_parameters": 118000000, "memory_usage": null, "max_tokens": 512, "embed_dim": 768, "license": "apache-2.0", "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "similarity_fn_name": "cosine", "use_instructions": false, "
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{"name": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "revision": "bf3bf13ab40c3157080a7ab344c831b9ad18b5eb", "release_date": "2019-11-01", "languages": ["ara_Arab", "bul_Cyrl", "cat_Latn", "ces_Latn", "dan_Latn", "deu_Latn", "ell_Grek", "eng_Latn", "spa_Latn", "est_Latn", "fas_Arab", "fin_Latn", "fra_Latn", "fra_Latn", "glg_Latn", "guj_Gujr", "heb_Hebr", "hin_Deva", "hrv_Latn", "hun_Latn", "hye_Armn", "ind_Latn", "ita_Latn", "jpn_Jpan", "kat_Geor", "kor_Hang", "kur_Arab", "lit_Latn", "lav_Latn", "mkd_Cyrl", "mon_Cyrl", "mar_Deva", "msa_Latn", "mya_Mymr", "nob_Latn", "nld_Latn", "pol_Latn", "por_Latn", "por_Latn", "ron_Latn", "rus_Cyrl", "slk_Latn", "slv_Latn", "sqi_Latn", "srp_Cyrl", "swe_Latn", "tha_Thai", "tur_Latn", "ukr_Cyrl", "urd_Arab", "vie_Latn", "zho_Hans", "zho_Hant"], "n_parameters": 118000000, "memory_usage": null, "max_tokens": 512.0, "embed_dim": 768, "license": "apache-2.0", "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "similarity_fn_name": "cosine", "use_instructions": false, "training_datasets": null, "adapted_from": null, "superseded_by": null, "loader": null}
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