--- tags: - mteb model-index: - name: SE_v1 results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 78.83582089552237 - type: ap value: 43.10721536172567 - type: f1 value: 73.02587501904198 - task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 92.756325 - type: ap value: 89.5445783321967 - type: f1 value: 92.7501917603289 - task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 47.431999999999995 - type: f1 value: 46.49254790014476 - task: type: Retrieval dataset: type: mteb/arguana name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 35.135 - type: map_at_10 value: 52.298 - type: map_at_100 value: 52.298 - type: map_at_1000 value: 52.298 - type: map_at_20 value: 52.298 - type: map_at_3 value: 47.522999999999996 - type: map_at_5 value: 50.378 - type: mrr_at_1 value: 36.059999999999995 - type: mrr_at_10 value: 52.662 - type: mrr_at_100 value: 52.662 - type: mrr_at_1000 value: 52.662 - type: mrr_at_20 value: 52.662 - type: mrr_at_3 value: 47.783 - type: mrr_at_5 value: 50.753 - type: ndcg_at_1 value: 35.135 - type: ndcg_at_10 value: 61.419999999999995 - type: ndcg_at_100 value: 61.419999999999995 - type: ndcg_at_1000 value: 61.419999999999995 - type: ndcg_at_20 value: 61.419999999999995 - type: ndcg_at_3 value: 51.608 - type: ndcg_at_5 value: 56.759 - type: precision_at_1 value: 35.135 - type: precision_at_10 value: 9.04 - type: precision_at_100 value: 0.9039999999999999 - type: precision_at_1000 value: 0.09 - type: precision_at_20 value: 4.52 - type: precision_at_3 value: 21.147 - type: precision_at_5 value: 15.192 - type: recall_at_1 value: 35.135 - type: recall_at_10 value: 90.398 - type: recall_at_100 value: 90.398 - type: recall_at_1000 value: 90.398 - type: recall_at_20 value: 90.398 - type: recall_at_3 value: 63.442 - type: recall_at_5 value: 75.96000000000001 - task: type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 48.12363356263455 - type: v_measures value: [0.48027757481176014, 0.4949903704757016, 0.4803950319722686, 0.4878191638148134, 0.5010741012685239, 0.4728978712118386, 0.47889994605951863, 0.4715761683007254, 0.4860537160553702, 0.45144233208889906, 0.5540965696705281, 0.5609258824425363, 0.5602036049543669, 0.5616617406378789, 0.5603846165703955, 0.5594661484162424, 0.5593705019774027, 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type: precision_at_20 value: 6.059 - type: precision_at_3 value: 27.182000000000002 - type: precision_at_5 value: 19.857 - type: recall_at_1 value: 40.073 - type: recall_at_10 value: 74.51 - type: recall_at_100 value: 74.51 - type: recall_at_1000 value: 74.51 - type: recall_at_20 value: 74.51 - type: recall_at_3 value: 56.804 - type: recall_at_5 value: 64.863 - task: type: Retrieval dataset: type: mteb/cqadupstack-english name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 36.658 - type: map_at_10 value: 48.632 - type: map_at_100 value: 48.632 - type: map_at_1000 value: 48.632 - type: map_at_20 value: 48.632 - type: map_at_3 value: 45.287 - type: map_at_5 value: 47.243 - type: mrr_at_1 value: 47.134 - type: mrr_at_10 value: 55.047000000000004 - type: mrr_at_100 value: 55.047000000000004 - type: mrr_at_1000 value: 55.047000000000004 - type: mrr_at_20 value: 55.047000000000004 - type: 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precision_at_3 value: 27.816000000000003 - type: precision_at_5 value: 19.122 - type: recall_at_1 value: 47.929 - type: recall_at_10 value: 83.009 - type: recall_at_100 value: 83.009 - type: recall_at_1000 value: 83.009 - type: recall_at_20 value: 83.009 - type: recall_at_3 value: 66.97999999999999 - type: recall_at_5 value: 74.638 - task: type: Retrieval dataset: type: mteb/cqadupstack-gis name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 29.831999999999997 - type: map_at_10 value: 40.278000000000006 - type: map_at_100 value: 40.278000000000006 - type: map_at_1000 value: 40.278000000000006 - type: map_at_20 value: 40.278000000000006 - type: map_at_3 value: 37.271 - type: map_at_5 value: 38.93 - type: mrr_at_1 value: 32.316 - type: mrr_at_10 value: 42.368 - type: mrr_at_100 value: 42.368 - type: mrr_at_1000 value: 42.368 - type: mrr_at_20 value: 42.368 - type: mrr_at_3 value: 39.774 - type: mrr_at_5 value: 41.249 - type: ndcg_at_1 value: 32.316 - type: ndcg_at_10 value: 46.024 - type: ndcg_at_100 value: 46.024 - type: ndcg_at_1000 value: 46.024 - type: ndcg_at_20 value: 46.024 - type: ndcg_at_3 value: 40.324 - type: ndcg_at_5 value: 43.059999999999995 - type: precision_at_1 value: 32.316 - type: precision_at_10 value: 7.153 - type: precision_at_100 value: 0.715 - type: precision_at_1000 value: 0.07200000000000001 - type: precision_at_20 value: 3.576 - type: precision_at_3 value: 17.363 - type: precision_at_5 value: 12.068 - type: recall_at_1 value: 29.831999999999997 - type: recall_at_10 value: 61.550000000000004 - type: recall_at_100 value: 61.550000000000004 - type: recall_at_1000 value: 61.550000000000004 - type: recall_at_20 value: 61.550000000000004 - type: recall_at_3 value: 46.285 - type: recall_at_5 value: 52.851000000000006 - task: type: Retrieval dataset: type: mteb/cqadupstack-mathematica name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 22.595000000000002 - type: map_at_10 value: 32.306000000000004 - type: map_at_100 value: 32.306000000000004 - type: map_at_1000 value: 32.306000000000004 - type: map_at_20 value: 32.306000000000004 - type: map_at_3 value: 28.931 - type: map_at_5 value: 30.675 - type: mrr_at_1 value: 28.731 - type: mrr_at_10 value: 37.663999999999994 - type: mrr_at_100 value: 37.663999999999994 - type: mrr_at_1000 value: 37.663999999999994 - type: mrr_at_20 value: 37.663999999999994 - type: mrr_at_3 value: 34.949999999999996 - type: mrr_at_5 value: 36.399 - type: ndcg_at_1 value: 28.731 - type: ndcg_at_10 value: 38.485 - type: ndcg_at_100 value: 38.48 - type: ndcg_at_1000 value: 38.48 - type: ndcg_at_20 value: 38.48 - type: ndcg_at_3 value: 32.762 - type: ndcg_at_5 value: 35.149 - type: precision_at_1 value: 28.731 - type: precision_at_10 value: 7.226000000000001 - type: precision_at_100 value: 0.7230000000000001 - type: precision_at_1000 value: 0.07200000000000001 - type: precision_at_20 value: 3.6130000000000004 - type: precision_at_3 value: 15.754999999999999 - type: precision_at_5 value: 11.468 - type: recall_at_1 value: 22.595000000000002 - type: recall_at_10 value: 52.081 - type: recall_at_100 value: 52.081 - type: recall_at_1000 value: 52.081 - type: recall_at_20 value: 52.081 - type: recall_at_3 value: 36.14 - type: recall_at_5 value: 42.254000000000005 - task: type: Retrieval dataset: type: mteb/cqadupstack-physics name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 35.363 - type: map_at_10 value: 48.292 - type: map_at_100 value: 48.292 - type: map_at_1000 value: 48.292 - type: map_at_20 value: 48.292 - type: map_at_3 value: 44.230999999999995 - type: map_at_5 value: 46.455 - type: mrr_at_1 value: 44.273 - type: mrr_at_10 value: 53.923 - type: mrr_at_100 value: 53.923 - type: mrr_at_1000 value: 53.923 - type: mrr_at_20 value: 53.923 - type: mrr_at_3 value: 51.283 - type: mrr_at_5 value: 52.717000000000006 - type: ndcg_at_1 value: 44.273 - type: ndcg_at_10 value: 54.93900000000001 - type: ndcg_at_100 value: 54.832 - type: ndcg_at_1000 value: 54.832 - type: ndcg_at_20 value: 54.858 - type: ndcg_at_3 value: 49.184 - type: ndcg_at_5 value: 51.693999999999996 - type: precision_at_1 value: 44.273 - type: precision_at_10 value: 10.241 - type: precision_at_100 value: 1.024 - type: precision_at_1000 value: 0.10200000000000001 - type: precision_at_20 value: 5.12 - type: precision_at_3 value: 23.933 - type: precision_at_5 value: 16.805 - type: recall_at_1 value: 35.363 - type: recall_at_10 value: 68.891 - type: recall_at_100 value: 68.891 - type: recall_at_1000 value: 68.891 - type: recall_at_20 value: 68.891 - type: recall_at_3 value: 51.946999999999996 - type: recall_at_5 value: 58.996 - task: type: Retrieval dataset: type: mteb/cqadupstack-programmers name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 31.527 - type: map_at_10 value: 45.208 - type: map_at_100 value: 45.208 - type: map_at_1000 value: 45.208 - type: map_at_20 value: 45.208 - type: map_at_3 value: 41.193999999999996 - type: map_at_5 value: 43.378 - type: mrr_at_1 value: 39.839999999999996 - type: mrr_at_10 value: 50.906 - type: mrr_at_100 value: 50.906 - type: mrr_at_1000 value: 50.906 - type: mrr_at_20 value: 50.906 - type: mrr_at_3 value: 48.211999999999996 - type: mrr_at_5 value: 49.730000000000004 - type: ndcg_at_1 value: 39.839999999999996 - type: ndcg_at_10 value: 52.209 - type: ndcg_at_100 value: 52.068999999999996 - type: ndcg_at_1000 value: 52.065 - type: ndcg_at_20 value: 52.11 - type: ndcg_at_3 value: 46.326 - type: ndcg_at_5 value: 48.906 - type: precision_at_1 value: 39.839999999999996 - type: precision_at_10 value: 9.954 - type: precision_at_100 value: 0.9950000000000001 - type: precision_at_1000 value: 0.1 - type: precision_at_20 value: 4.977 - type: precision_at_3 value: 22.945 - type: precision_at_5 value: 16.438 - type: recall_at_1 value: 31.527 - type: recall_at_10 value: 66.97 - type: recall_at_100 value: 66.97 - type: recall_at_1000 value: 66.97 - type: recall_at_20 value: 66.97 - type: recall_at_3 value: 49.989 - type: recall_at_5 value: 57.023999999999994 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 32.47491666666667 - type: map_at_10 value: 43.86241666666667 - type: map_at_100 value: 43.86241666666667 - type: map_at_1000 value: 43.86241666666667 - type: map_at_20 value: 43.86241666666667 - type: map_at_3 value: 40.445166666666665 - type: map_at_5 value: 42.34416666666667 - type: mrr_at_1 value: 39.24941666666667 - type: mrr_at_10 value: 48.56083333333333 - type: mrr_at_100 value: 48.56083333333333 - type: mrr_at_1000 value: 48.56083333333333 - type: mrr_at_20 value: 48.56083333333333 - type: mrr_at_3 value: 46.09241666666667 - type: mrr_at_5 value: 47.48925 - type: ndcg_at_1 value: 39.24941666666667 - type: ndcg_at_10 value: 49.94208333333333 - type: ndcg_at_100 value: 49.754916666666674 - type: ndcg_at_1000 value: 49.751583333333336 - type: ndcg_at_20 value: 49.81033333333333 - type: ndcg_at_3 value: 44.72058333333334 - type: ndcg_at_5 value: 47.121249999999996 - type: precision_at_1 value: 39.24941666666667 - type: precision_at_10 value: 8.876166666666666 - type: precision_at_100 value: 0.8875833333333333 - type: precision_at_1000 value: 0.08875000000000001 - type: precision_at_20 value: 4.438083333333333 - type: precision_at_3 value: 20.939500000000002 - type: precision_at_5 value: 14.76966666666667 - type: recall_at_1 value: 32.47491666666667 - type: recall_at_10 value: 62.95991666666666 - type: recall_at_100 value: 62.95991666666666 - type: recall_at_1000 value: 62.95991666666666 - type: recall_at_20 value: 62.95991666666666 - type: recall_at_3 value: 48.01025 - type: recall_at_5 value: 54.43341666666666 - task: type: Retrieval dataset: type: mteb/cqadupstack-stats name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 31.147999999999996 - type: map_at_10 value: 38.9 - type: map_at_100 value: 38.9 - type: map_at_1000 value: 38.9 - type: map_at_20 value: 38.9 - type: map_at_3 value: 36.614999999999995 - type: map_at_5 value: 37.836999999999996 - type: mrr_at_1 value: 35.123 - type: mrr_at_10 value: 42.111 - type: mrr_at_100 value: 42.111 - type: mrr_at_1000 value: 42.111 - type: mrr_at_20 value: 42.111 - type: mrr_at_3 value: 39.954 - type: mrr_at_5 value: 41.112 - type: ndcg_at_1 value: 35.123 - type: ndcg_at_10 value: 43.403000000000006 - type: ndcg_at_100 value: 43.374 - type: ndcg_at_1000 value: 43.374 - type: ndcg_at_20 value: 43.374 - type: ndcg_at_3 value: 39.206 - type: ndcg_at_5 value: 41.102 - type: precision_at_1 value: 35.123 - type: precision_at_10 value: 6.641 - type: precision_at_100 value: 0.664 - type: precision_at_1000 value: 0.066 - type: precision_at_20 value: 3.321 - type: precision_at_3 value: 16.616 - type: precision_at_5 value: 11.35 - type: recall_at_1 value: 31.147999999999996 - type: recall_at_10 value: 53.988 - type: recall_at_100 value: 53.988 - type: recall_at_1000 value: 53.988 - type: recall_at_20 value: 53.988 - type: recall_at_3 value: 42.223 - type: recall_at_5 value: 47.075 - task: type: Retrieval dataset: type: mteb/cqadupstack-tex name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 21.503 - type: map_at_10 value: 30.711 - type: map_at_100 value: 30.711 - type: map_at_1000 value: 30.711 - type: map_at_20 value: 30.711 - type: map_at_3 value: 27.876 - type: map_at_5 value: 29.448 - type: mrr_at_1 value: 26.944000000000003 - type: mrr_at_10 value: 35.400999999999996 - type: mrr_at_100 value: 35.400999999999996 - type: mrr_at_1000 value: 35.400999999999996 - type: mrr_at_20 value: 35.400999999999996 - type: mrr_at_3 value: 32.943 - type: mrr_at_5 value: 34.365 - type: ndcg_at_1 value: 26.944000000000003 - type: ndcg_at_10 value: 36.18 - type: ndcg_at_100 value: 36.053000000000004 - type: ndcg_at_1000 value: 36.051 - type: ndcg_at_20 value: 36.094 - type: ndcg_at_3 value: 31.5 - type: ndcg_at_5 value: 33.672999999999995 - type: precision_at_1 value: 26.944000000000003 - type: precision_at_10 value: 6.7 - type: precision_at_100 value: 0.67 - type: precision_at_1000 value: 0.067 - type: precision_at_20 value: 3.35 - type: precision_at_3 value: 15.221000000000002 - type: precision_at_5 value: 10.943 - type: recall_at_1 value: 21.503 - type: recall_at_10 value: 47.802 - type: recall_at_100 value: 47.802 - type: recall_at_1000 value: 47.802 - type: recall_at_20 value: 47.802 - type: recall_at_3 value: 34.316 - type: recall_at_5 value: 40.178999999999995 - task: type: Retrieval dataset: type: mteb/cqadupstack-unix name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 34.516000000000005 - type: map_at_10 value: 45.867999999999995 - type: map_at_100 value: 45.867999999999995 - type: map_at_1000 value: 45.867999999999995 - type: map_at_20 value: 45.867999999999995 - type: map_at_3 value: 42.480000000000004 - type: map_at_5 value: 44.292 - type: mrr_at_1 value: 41.510999999999996 - type: mrr_at_10 value: 50.709 - type: mrr_at_100 value: 50.709 - type: mrr_at_1000 value: 50.709 - type: mrr_at_20 value: 50.709 - type: mrr_at_3 value: 48.087999999999994 - type: mrr_at_5 value: 49.585 - type: ndcg_at_1 value: 41.510999999999996 - type: ndcg_at_10 value: 52.010999999999996 - type: ndcg_at_100 value: 51.998999999999995 - type: ndcg_at_1000 value: 51.998999999999995 - type: ndcg_at_20 value: 51.998999999999995 - type: ndcg_at_3 value: 46.605000000000004 - type: ndcg_at_5 value: 48.968 - type: precision_at_1 value: 41.510999999999996 - type: precision_at_10 value: 8.862 - type: precision_at_100 value: 0.886 - type: precision_at_1000 value: 0.089 - type: precision_at_20 value: 4.431 - type: precision_at_3 value: 21.58 - type: precision_at_5 value: 14.943999999999999 - type: recall_at_1 value: 34.516000000000005 - type: recall_at_10 value: 65.874 - type: recall_at_100 value: 65.874 - type: recall_at_1000 value: 65.874 - type: recall_at_20 value: 65.874 - type: recall_at_3 value: 50.444 - type: recall_at_5 value: 56.87 - task: type: Retrieval dataset: type: mteb/cqadupstack-webmasters name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 32.486 - type: map_at_10 value: 44.13 - type: map_at_100 value: 44.13 - type: map_at_1000 value: 44.13 - type: map_at_20 value: 44.13 - type: map_at_3 value: 40.644999999999996 - type: map_at_5 value: 42.712 - type: mrr_at_1 value: 40.514 - type: mrr_at_10 value: 50.058 - type: mrr_at_100 value: 50.058 - type: mrr_at_1000 value: 50.058 - type: mrr_at_20 value: 50.058 - type: mrr_at_3 value: 47.53 - type: mrr_at_5 value: 49.2 - type: ndcg_at_1 value: 40.514 - type: ndcg_at_10 value: 50.722 - type: ndcg_at_100 value: 49.907000000000004 - type: ndcg_at_1000 value: 49.889 - type: ndcg_at_20 value: 50.212 - type: ndcg_at_3 value: 45.822 - type: ndcg_at_5 value: 48.468 - type: precision_at_1 value: 40.514 - type: precision_at_10 value: 9.783 - type: precision_at_100 value: 0.9780000000000001 - type: precision_at_1000 value: 0.098 - type: precision_at_20 value: 4.891 - type: precision_at_3 value: 21.871 - type: precision_at_5 value: 15.928999999999998 - type: recall_at_1 value: 32.486 - type: recall_at_10 value: 61.644 - type: recall_at_100 value: 61.644 - type: recall_at_1000 value: 61.644 - type: recall_at_20 value: 61.644 - type: recall_at_3 value: 47.502 - type: recall_at_5 value: 54.596999999999994 - task: type: Retrieval dataset: type: mteb/cqadupstack-wordpress name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 26.069 - type: map_at_10 value: 35.869 - type: map_at_100 value: 35.869 - type: map_at_1000 value: 35.869 - type: map_at_20 value: 35.869 - type: map_at_3 value: 33.249 - type: map_at_5 value: 34.521 - type: mrr_at_1 value: 28.281 - type: mrr_at_10 value: 38.26 - type: mrr_at_100 value: 38.26 - type: mrr_at_1000 value: 38.26 - type: mrr_at_20 value: 38.26 - type: mrr_at_3 value: 36.106 - type: mrr_at_5 value: 37.095 - type: ndcg_at_1 value: 28.281 - type: ndcg_at_10 value: 41.286 - type: ndcg_at_100 value: 41.277 - type: ndcg_at_1000 value: 41.277 - type: ndcg_at_20 value: 41.281 - type: ndcg_at_3 value: 36.36 - type: ndcg_at_5 value: 38.275 - type: precision_at_1 value: 28.281 - type: precision_at_10 value: 6.451 - type: precision_at_100 value: 0.645 - type: precision_at_1000 value: 0.065 - type: precision_at_20 value: 3.2259999999999995 - type: precision_at_3 value: 15.895999999999999 - type: precision_at_5 value: 10.758 - type: recall_at_1 value: 26.069 - type: recall_at_10 value: 55.55799999999999 - type: recall_at_100 value: 55.55799999999999 - type: recall_at_1000 value: 55.55799999999999 - type: recall_at_20 value: 55.55799999999999 - type: recall_at_3 value: 41.929 - type: recall_at_5 value: 46.577 - task: type: Retrieval dataset: type: mteb/climate-fever name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 11.675 - type: map_at_10 value: 21.314 - type: map_at_100 value: 21.314 - type: map_at_1000 value: 21.314 - type: map_at_20 value: 21.314 - type: map_at_3 value: 17.689 - type: map_at_5 value: 19.534000000000002 - type: mrr_at_1 value: 27.101 - type: mrr_at_10 value: 40.339999999999996 - type: mrr_at_100 value: 40.339999999999996 - type: mrr_at_1000 value: 40.339999999999996 - type: mrr_at_20 value: 40.339999999999996 - type: mrr_at_3 value: 37.014 - type: mrr_at_5 value: 39.050000000000004 - type: ndcg_at_1 value: 27.101 - type: ndcg_at_10 value: 30.325000000000003 - type: ndcg_at_100 value: 30.325000000000003 - type: ndcg_at_1000 value: 30.325000000000003 - type: ndcg_at_20 value: 30.325000000000003 - type: ndcg_at_3 value: 24.823 - type: ndcg_at_5 value: 26.729999999999997 - type: precision_at_1 value: 27.101 - type: precision_at_10 value: 9.622 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.096 - type: precision_at_20 value: 4.811 - type: precision_at_3 value: 18.958 - type: precision_at_5 value: 14.527999999999999 - type: recall_at_1 value: 11.675 - type: recall_at_10 value: 37.037 - type: recall_at_100 value: 37.037 - type: recall_at_1000 value: 37.037 - type: recall_at_20 value: 37.037 - type: recall_at_3 value: 23.22 - type: recall_at_5 value: 28.967 - task: type: Retrieval dataset: type: mteb/dbpedia name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 9.715 - type: map_at_10 value: 23.903 - type: map_at_100 value: 23.903 - type: map_at_1000 value: 23.903 - type: map_at_20 value: 23.903 - type: map_at_3 value: 16.029 - type: map_at_5 value: 19.276 - type: mrr_at_1 value: 73.75 - type: mrr_at_10 value: 81.089 - type: mrr_at_100 value: 81.089 - type: mrr_at_1000 value: 81.089 - type: mrr_at_20 value: 81.089 - type: mrr_at_3 value: 79.75 - type: mrr_at_5 value: 80.55 - type: ndcg_at_1 value: 61.5 - type: ndcg_at_10 value: 49.027 - type: ndcg_at_100 value: 37.618 - type: ndcg_at_1000 value: 37.475 - type: ndcg_at_20 value: 41.513 - type: ndcg_at_3 value: 52.624 - type: ndcg_at_5 value: 50.409000000000006 - type: precision_at_1 value: 73.75 - type: precision_at_10 value: 40.025 - type: precision_at_100 value: 4.002 - type: precision_at_1000 value: 0.4 - type: precision_at_20 value: 20.012 - type: precision_at_3 value: 56.75 - type: precision_at_5 value: 49.3 - type: recall_at_1 value: 9.715 - type: recall_at_10 value: 30.368000000000002 - type: recall_at_100 value: 30.368000000000002 - type: recall_at_1000 value: 30.368000000000002 - type: recall_at_20 value: 30.368000000000002 - type: recall_at_3 value: 17.512 - type: recall_at_5 value: 22.381999999999998 - task: type: Classification dataset: type: mteb/emotion name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 50.964999999999996 - type: f1 value: 46.07175136684756 - task: type: Retrieval dataset: type: mteb/fever name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 79.73400000000001 - type: map_at_10 value: 86.61999999999999 - type: map_at_100 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config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 88.86570900637778 - type: cos_sim_ap value: 82.37268769366939 - type: cos_sim_f1 value: 74.7083775185578 - type: cos_sim_precision value: 75.06659563132658 - type: cos_sim_recall value: 74.35356200527704 - type: dot_accuracy value: 86.2609524944865 - type: dot_ap value: 74.8055407969579 - type: dot_f1 value: 68.9965903555772 - type: dot_precision value: 64.06603346901855 - type: dot_recall value: 74.74934036939314 - type: euclidean_accuracy value: 88.85974846516064 - type: euclidean_ap value: 82.41589558001058 - type: euclidean_f1 value: 74.70888394609446 - type: euclidean_precision value: 74.09810537243706 - type: euclidean_recall value: 75.32981530343008 - type: manhattan_accuracy value: 88.71669547594921 - type: manhattan_ap value: 82.2077641402819 - type: manhattan_f1 value: 74.43037974683546 - type: manhattan_precision value: 75.18169582772543 - type: manhattan_recall value: 73.6939313984169 - type: max_accuracy value: 88.86570900637778 - type: max_ap value: 82.41589558001058 - type: max_f1 value: 74.70888394609446 - task: type: PairClassification dataset: type: mteb/twitterurlcorpus-pairclassification name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 89.67283735009897 - type: cos_sim_ap value: 87.24295583945482 - type: cos_sim_f1 value: 79.91967871485943 - type: cos_sim_precision value: 77.28711162255466 - type: cos_sim_recall value: 82.73791191869418 - type: dot_accuracy value: 88.57259285132145 - type: dot_ap value: 84.94911679167208 - type: dot_f1 value: 78.03707259434312 - type: dot_precision value: 74.97516673761885 - type: dot_recall value: 81.35971666153372 - type: euclidean_accuracy value: 89.65925408468196 - type: euclidean_ap value: 87.20753315344663 - type: euclidean_f1 value: 79.88855487939 - type: euclidean_precision value: 76.24912526242127 - type: euclidean_recall value: 83.89282414536495 - type: manhattan_accuracy value: 89.62626615438352 - type: manhattan_ap value: 87.25477616369629 - type: manhattan_f1 value: 79.90573332842362 - type: manhattan_precision value: 76.5756228385913 - type: manhattan_recall value: 83.53865106251925 - type: max_accuracy value: 89.67283735009897 - type: max_ap value: 87.25477616369629 - type: max_f1 value: 79.91967871485943 --- --- Private dataset ---