--- tags: - mteb model-index: - name: .\results\technicolor\Angle_BERT results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 77.94029850746269 - type: ap value: 41.462497073772475 - type: f1 value: 71.91276160766711 - task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 75.998675 - type: ap value: 70.68601139811975 - type: f1 value: 75.80419607148225 - task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 37.184000000000005 - type: f1 value: 36.927927910871034 - task: type: Retrieval dataset: type: mteb/arguana name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 18.208 - type: map_at_10 value: 31.217 - type: map_at_100 value: 32.504 - type: map_at_1000 value: 32.543 - type: map_at_20 value: 32.048 - type: map_at_3 value: 26.790000000000003 - type: map_at_5 value: 29.176000000000002 - type: mrr_at_1 value: 18.990000000000002 - type: mrr_at_10 value: 31.539 - type: mrr_at_100 value: 32.818999999999996 - type: mrr_at_1000 value: 32.857 - type: mrr_at_20 value: 32.363 - type: mrr_at_3 value: 27.003 - type: mrr_at_5 value: 29.518 - type: ndcg_at_1 value: 18.208 - type: ndcg_at_10 value: 38.881 - type: ndcg_at_100 value: 44.931 - type: ndcg_at_1000 value: 45.864 - type: ndcg_at_20 value: 41.823 - type: ndcg_at_3 value: 29.675 - type: ndcg_at_5 value: 33.964 - type: precision_at_1 value: 18.208 - type: precision_at_10 value: 6.358 - type: precision_at_100 value: 0.914 - type: precision_at_1000 value: 0.099 - type: precision_at_20 value: 3.752 - type: precision_at_3 value: 12.684000000000001 - type: precision_at_5 value: 9.687 - type: recall_at_1 value: 18.208 - type: recall_at_10 value: 63.585 - type: recall_at_100 value: 91.39399999999999 - type: recall_at_1000 value: 98.506 - type: recall_at_20 value: 75.036 - type: recall_at_3 value: 38.051 - type: recall_at_5 value: 48.435 - task: type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 35.32543411547368 - task: type: Clustering dataset: type: mteb/arxiv-clustering-s2s name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 27.664108097727595 - task: type: Reranking dataset: type: mteb/askubuntudupquestions-reranking name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 51.337125683605656 - type: mrr value: 64.09422679505782 - task: type: Classification dataset: type: mteb/banking77 name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 75.49675324675324 - type: f1 value: 75.43051473772864 - task: type: Clustering dataset: type: mteb/biorxiv-clustering-p2p name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 30.952117397946154 - task: type: Clustering dataset: type: mteb/biorxiv-clustering-s2s name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 24.80565572031388 - task: type: Retrieval dataset: type: mteb/cqadupstack-android name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 18.148 - type: map_at_10 value: 23.986 - type: map_at_100 value: 25.028 - type: map_at_1000 value: 25.163999999999998 - type: map_at_20 value: 24.526 - type: map_at_3 value: 21.822 - type: map_at_5 value: 22.933 - type: mrr_at_1 value: 23.319000000000003 - type: mrr_at_10 value: 28.944 - type: mrr_at_100 value: 29.837999999999997 - type: mrr_at_1000 value: 29.914 - type: mrr_at_20 value: 29.441 - type: mrr_at_3 value: 26.943 - type: mrr_at_5 value: 27.944999999999997 - type: ndcg_at_1 value: 23.319000000000003 - type: ndcg_at_10 value: 28.249000000000002 - type: ndcg_at_100 value: 33.219 - type: ndcg_at_1000 value: 36.374 - type: ndcg_at_20 value: 29.933 - type: ndcg_at_3 value: 24.845 - type: ndcg_at_5 value: 26.14 - type: precision_at_1 value: 23.319000000000003 - type: precision_at_10 value: 5.351 - type: precision_at_100 value: 0.971 - type: precision_at_1000 value: 0.151 - type: precision_at_20 value: 3.2620000000000005 - type: precision_at_3 value: 11.922 - type: precision_at_5 value: 8.555 - type: recall_at_1 value: 18.148 - type: recall_at_10 value: 36.144999999999996 - type: recall_at_100 value: 58.204 - type: recall_at_1000 value: 79.828 - type: recall_at_20 value: 42.245 - type: recall_at_3 value: 25.701 - type: recall_at_5 value: 29.636000000000003 - task: type: Retrieval dataset: type: mteb/cqadupstack-english name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 14.248 - type: map_at_10 value: 19.534000000000002 - type: map_at_100 value: 20.358 - type: map_at_1000 value: 20.464 - type: map_at_20 value: 19.965 - type: map_at_3 value: 17.881 - type: map_at_5 value: 18.773999999999997 - type: mrr_at_1 value: 18.025 - type: mrr_at_10 value: 23.265 - type: mrr_at_100 value: 24.054000000000002 - type: mrr_at_1000 value: 24.122 - type: mrr_at_20 value: 23.702 - type: mrr_at_3 value: 21.624 - type: mrr_at_5 value: 22.5 - type: ndcg_at_1 value: 18.025 - type: ndcg_at_10 value: 23.0 - type: ndcg_at_100 value: 27.016000000000002 - type: ndcg_at_1000 value: 29.751 - type: ndcg_at_20 value: 24.415 - type: ndcg_at_3 value: 20.222 - type: ndcg_at_5 value: 21.379 - type: precision_at_1 value: 18.025 - type: precision_at_10 value: 4.35 - type: precision_at_100 value: 0.796 - type: precision_at_1000 value: 0.127 - type: precision_at_20 value: 2.662 - type: precision_at_3 value: 9.809 - type: precision_at_5 value: 6.955 - type: recall_at_1 value: 14.248 - type: recall_at_10 value: 29.646 - type: recall_at_100 value: 47.527 - type: recall_at_1000 value: 66.468 - type: recall_at_20 value: 34.873 - type: recall_at_3 value: 21.366 - type: recall_at_5 value: 24.738 - task: type: Retrieval dataset: type: mteb/cqadupstack-gaming name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 19.834 - type: map_at_10 value: 27.569 - type: map_at_100 value: 28.601 - type: map_at_1000 value: 28.705000000000002 - type: map_at_20 value: 28.194000000000003 - type: map_at_3 value: 25.352999999999998 - type: map_at_5 value: 26.512 - type: mrr_at_1 value: 23.26 - type: mrr_at_10 value: 30.406 - type: mrr_at_100 value: 31.291000000000004 - type: mrr_at_1000 value: 31.371 - type: mrr_at_20 value: 30.941000000000003 - type: mrr_at_3 value: 28.485 - type: mrr_at_5 value: 29.444 - type: ndcg_at_1 value: 23.26 - type: ndcg_at_10 value: 31.959 - type: ndcg_at_100 value: 36.747 - type: ndcg_at_1000 value: 39.47 - type: ndcg_at_20 value: 33.992 - type: ndcg_at_3 value: 27.839999999999996 - type: ndcg_at_5 value: 29.593999999999998 - type: precision_at_1 value: 23.26 - type: precision_at_10 value: 5.436 - type: precision_at_100 value: 0.8500000000000001 - type: precision_at_1000 value: 0.116 - type: precision_at_20 value: 3.235 - type: precision_at_3 value: 12.684999999999999 - type: precision_at_5 value: 8.853 - type: recall_at_1 value: 19.834 - type: recall_at_10 value: 42.531 - type: recall_at_100 value: 63.963 - type: recall_at_1000 value: 84.174 - type: recall_at_20 value: 50.101 - type: recall_at_3 value: 31.179000000000002 - type: recall_at_5 value: 35.567 - task: type: Retrieval dataset: type: mteb/cqadupstack-gis name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 9.263 - type: map_at_10 value: 12.104 - type: map_at_100 value: 12.736 - type: map_at_1000 value: 12.836 - type: map_at_20 value: 12.415 - type: map_at_3 value: 10.891 - type: map_at_5 value: 11.443 - type: mrr_at_1 value: 9.831 - type: mrr_at_10 value: 12.856000000000002 - type: mrr_at_100 value: 13.492 - type: mrr_at_1000 value: 13.587 - type: mrr_at_20 value: 13.178 - type: mrr_at_3 value: 11.62 - type: mrr_at_5 value: 12.218 - type: ndcg_at_1 value: 9.831 - type: ndcg_at_10 value: 14.224 - type: ndcg_at_100 value: 17.78 - type: ndcg_at_1000 value: 21.078 - type: ndcg_at_20 value: 15.329999999999998 - type: ndcg_at_3 value: 11.691 - type: ndcg_at_5 value: 12.692 - type: precision_at_1 value: 9.831 - type: precision_at_10 value: 2.26 - type: precision_at_100 value: 0.43299999999999994 - type: precision_at_1000 value: 0.077 - type: precision_at_20 value: 1.384 - type: precision_at_3 value: 4.7829999999999995 - type: precision_at_5 value: 3.458 - type: recall_at_1 value: 9.263 - type: recall_at_10 value: 20.293 - type: recall_at_100 value: 37.507000000000005 - type: recall_at_1000 value: 63.727000000000004 - type: recall_at_20 value: 24.424 - type: recall_at_3 value: 13.215 - type: recall_at_5 value: 15.661 - task: type: Retrieval dataset: type: mteb/cqadupstack-mathematica name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 3.936 - type: map_at_10 value: 5.976 - type: map_at_100 value: 6.619999999999999 - type: map_at_1000 value: 6.737 - type: map_at_20 value: 6.271 - type: map_at_3 value: 5.179 - type: map_at_5 value: 5.5 - type: mrr_at_1 value: 5.348 - type: mrr_at_10 value: 7.954 - type: mrr_at_100 value: 8.683 - type: mrr_at_1000 value: 8.782 - type: mrr_at_20 value: 8.336 - type: mrr_at_3 value: 7.027 - type: mrr_at_5 value: 7.449999999999999 - type: ndcg_at_1 value: 5.348 - type: ndcg_at_10 value: 7.832999999999999 - type: ndcg_at_100 value: 11.567 - type: ndcg_at_1000 value: 15.213 - type: ndcg_at_20 value: 8.996 - type: ndcg_at_3 value: 6.164 - type: ndcg_at_5 value: 6.726 - type: precision_at_1 value: 5.348 - type: precision_at_10 value: 1.617 - type: precision_at_100 value: 0.42300000000000004 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_20 value: 1.126 - type: precision_at_3 value: 3.1919999999999997 - type: precision_at_5 value: 2.363 - type: recall_at_1 value: 3.936 - type: recall_at_10 value: 11.711 - type: recall_at_100 value: 28.875 - type: recall_at_1000 value: 56.267 - type: recall_at_20 value: 15.989999999999998 - type: recall_at_3 value: 7.087000000000001 - type: recall_at_5 value: 8.436 - task: type: Retrieval dataset: type: mteb/cqadupstack-physics name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 13.367999999999999 - type: map_at_10 value: 19.301 - type: map_at_100 value: 20.374 - type: map_at_1000 value: 20.516000000000002 - type: map_at_20 value: 19.828000000000003 - type: map_at_3 value: 17.345 - type: map_at_5 value: 18.39 - type: mrr_at_1 value: 17.324 - type: mrr_at_10 value: 23.383000000000003 - type: mrr_at_100 value: 24.296 - type: mrr_at_1000 value: 24.375 - type: mrr_at_20 value: 23.866 - type: mrr_at_3 value: 21.238 - type: mrr_at_5 value: 22.336 - type: ndcg_at_1 value: 17.324 - type: ndcg_at_10 value: 23.345 - type: ndcg_at_100 value: 28.645 - type: ndcg_at_1000 value: 31.902 - type: ndcg_at_20 value: 25.113999999999997 - type: ndcg_at_3 value: 19.731 - type: ndcg_at_5 value: 21.271 - type: precision_at_1 value: 17.324 - type: precision_at_10 value: 4.495 - type: precision_at_100 value: 0.874 - type: precision_at_1000 value: 0.13799999999999998 - type: precision_at_20 value: 2.791 - type: precision_at_3 value: 9.464 - type: precision_at_5 value: 6.909999999999999 - type: recall_at_1 value: 13.367999999999999 - type: recall_at_10 value: 31.749 - type: recall_at_100 value: 55.078 - type: recall_at_1000 value: 77.88000000000001 - type: recall_at_20 value: 38.098 - type: recall_at_3 value: 21.356 - type: recall_at_5 value: 25.433 - task: type: Retrieval dataset: type: mteb/cqadupstack-programmers name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 10.152 - type: map_at_10 value: 14.658999999999999 - type: map_at_100 value: 15.522 - type: map_at_1000 value: 15.653 - type: map_at_20 value: 15.087 - type: map_at_3 value: 13.099 - type: map_at_5 value: 13.941 - type: mrr_at_1 value: 13.128 - type: mrr_at_10 value: 18.035999999999998 - type: mrr_at_100 value: 18.911 - type: mrr_at_1000 value: 19.003999999999998 - type: mrr_at_20 value: 18.487000000000002 - type: mrr_at_3 value: 16.381 - type: mrr_at_5 value: 17.277 - type: ndcg_at_1 value: 13.128 - type: ndcg_at_10 value: 17.949 - type: ndcg_at_100 value: 22.579 - type: ndcg_at_1000 value: 26.064 - type: ndcg_at_20 value: 19.476 - type: ndcg_at_3 value: 14.975 - type: ndcg_at_5 value: 16.273 - type: precision_at_1 value: 13.128 - type: precision_at_10 value: 3.3329999999999997 - type: precision_at_100 value: 0.683 - type: precision_at_1000 value: 0.116 - type: precision_at_20 value: 2.129 - type: precision_at_3 value: 7.154000000000001 - type: precision_at_5 value: 5.251 - type: recall_at_1 value: 10.152 - type: recall_at_10 value: 24.933 - type: recall_at_100 value: 45.584 - type: recall_at_1000 value: 70.7 - type: recall_at_20 value: 30.361 - type: recall_at_3 value: 16.570999999999998 - type: recall_at_5 value: 19.901 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.82375 - type: map_at_10 value: 15.058583333333331 - type: map_at_100 value: 15.841083333333335 - type: map_at_1000 value: 15.952749999999998 - type: map_at_20 value: 15.447583333333334 - type: map_at_3 value: 13.618000000000002 - type: map_at_5 value: 14.369499999999999 - type: mrr_at_1 value: 13.36475 - type: mrr_at_10 value: 17.77841666666667 - type: mrr_at_100 value: 18.528416666666665 - type: mrr_at_1000 value: 18.612583333333333 - type: mrr_at_20 value: 18.169416666666667 - type: mrr_at_3 value: 16.304166666666667 - type: mrr_at_5 value: 17.065166666666666 - type: ndcg_at_1 value: 13.36475 - type: ndcg_at_10 value: 18.002833333333335 - type: ndcg_at_100 value: 22.082583333333332 - type: ndcg_at_1000 value: 25.149166666666666 - type: ndcg_at_20 value: 19.33575 - type: ndcg_at_3 value: 15.334249999999999 - type: ndcg_at_5 value: 16.45558333333333 - type: precision_at_1 value: 13.36475 - type: precision_at_10 value: 3.2900000000000005 - type: precision_at_100 value: 0.6327499999999999 - type: precision_at_1000 value: 0.10600000000000001 - type: precision_at_20 value: 2.032666666666666 - type: precision_at_3 value: 7.209416666666667 - type: precision_at_5 value: 5.204416666666666 - type: recall_at_1 value: 10.82375 - type: recall_at_10 value: 24.346166666666665 - type: recall_at_100 value: 43.067916666666676 - type: recall_at_1000 value: 65.63275 - type: recall_at_20 value: 29.279916666666665 - type: recall_at_3 value: 16.74383333333333 - type: recall_at_5 value: 19.682583333333334 - task: type: Retrieval dataset: type: mteb/cqadupstack-stats name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 8.212 - type: map_at_10 value: 11.457 - type: map_at_100 value: 12.033000000000001 - type: map_at_1000 value: 12.113999999999999 - type: map_at_20 value: 11.744 - type: map_at_3 value: 10.365 - type: map_at_5 value: 10.969 - type: mrr_at_1 value: 9.815999999999999 - type: mrr_at_10 value: 13.471 - type: mrr_at_100 value: 14.019 - type: mrr_at_1000 value: 14.097999999999999 - type: mrr_at_20 value: 13.745 - type: mrr_at_3 value: 12.449 - type: mrr_at_5 value: 12.97 - type: ndcg_at_1 value: 9.815999999999999 - type: ndcg_at_10 value: 13.724 - type: ndcg_at_100 value: 16.817 - type: ndcg_at_1000 value: 19.442 - type: ndcg_at_20 value: 14.725 - type: ndcg_at_3 value: 11.700000000000001 - type: ndcg_at_5 value: 12.598 - type: precision_at_1 value: 9.815999999999999 - type: precision_at_10 value: 2.393 - type: precision_at_100 value: 0.428 - type: precision_at_1000 value: 0.07100000000000001 - type: precision_at_20 value: 1.434 - type: precision_at_3 value: 5.624 - type: precision_at_5 value: 3.9570000000000003 - type: recall_at_1 value: 8.212 - type: recall_at_10 value: 18.87 - type: recall_at_100 value: 33.527 - type: recall_at_1000 value: 53.989 - type: recall_at_20 value: 22.631 - type: recall_at_3 value: 13.056000000000001 - type: recall_at_5 value: 15.425 - task: type: Retrieval dataset: type: mteb/cqadupstack-tex name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 5.359 - type: map_at_10 value: 7.7170000000000005 - type: map_at_100 value: 8.222 - type: map_at_1000 value: 8.312999999999999 - type: map_at_20 value: 7.961 - type: map_at_3 value: 6.969 - type: map_at_5 value: 7.3870000000000005 - type: mrr_at_1 value: 6.9510000000000005 - type: mrr_at_10 value: 9.697 - type: mrr_at_100 value: 10.26 - type: mrr_at_1000 value: 10.337 - type: mrr_at_20 value: 9.989 - type: mrr_at_3 value: 8.792 - type: mrr_at_5 value: 9.307 - type: ndcg_at_1 value: 6.9510000000000005 - type: ndcg_at_10 value: 9.472999999999999 - type: ndcg_at_100 value: 12.414 - type: ndcg_at_1000 value: 15.122 - type: ndcg_at_20 value: 10.366999999999999 - type: ndcg_at_3 value: 8.071 - type: ndcg_at_5 value: 8.717 - type: precision_at_1 value: 6.9510000000000005 - type: precision_at_10 value: 1.7930000000000001 - type: precision_at_100 value: 0.40099999999999997 - type: precision_at_1000 value: 0.077 - type: precision_at_20 value: 1.158 - type: precision_at_3 value: 3.923 - type: precision_at_5 value: 2.8770000000000002 - type: recall_at_1 value: 5.359 - type: recall_at_10 value: 12.992999999999999 - type: recall_at_100 value: 26.854 - type: recall_at_1000 value: 46.888999999999996 - type: recall_at_20 value: 16.287 - type: recall_at_3 value: 8.919 - type: recall_at_5 value: 10.684000000000001 - task: type: Retrieval dataset: type: mteb/cqadupstack-unix name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 9.667 - type: map_at_10 value: 12.515 - type: map_at_100 value: 13.200000000000001 - type: map_at_1000 value: 13.311 - type: map_at_20 value: 12.837000000000002 - type: map_at_3 value: 11.298 - type: map_at_5 value: 11.937000000000001 - type: mrr_at_1 value: 11.567 - type: mrr_at_10 value: 14.940999999999999 - type: mrr_at_100 value: 15.661 - type: mrr_at_1000 value: 15.751999999999999 - type: mrr_at_20 value: 15.283 - type: mrr_at_3 value: 13.511000000000001 - type: mrr_at_5 value: 14.308000000000002 - type: ndcg_at_1 value: 11.567 - type: ndcg_at_10 value: 14.869 - type: ndcg_at_100 value: 18.709999999999997 - type: ndcg_at_1000 value: 21.826999999999998 - type: ndcg_at_20 value: 16.067 - type: ndcg_at_3 value: 12.428 - type: ndcg_at_5 value: 13.542000000000002 - type: precision_at_1 value: 11.567 - type: precision_at_10 value: 2.64 - type: precision_at_100 value: 0.507 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_20 value: 1.609 - type: precision_at_3 value: 5.628 - type: precision_at_5 value: 4.216 - type: recall_at_1 value: 9.667 - type: recall_at_10 value: 19.677 - type: recall_at_100 value: 37.668 - type: recall_at_1000 value: 60.687000000000005 - type: recall_at_20 value: 24.236 - type: recall_at_3 value: 13.173000000000002 - type: recall_at_5 value: 15.808 - task: type: Retrieval dataset: type: mteb/cqadupstack-webmasters name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 11.129999999999999 - type: map_at_10 value: 15.881 - type: map_at_100 value: 16.759 - type: map_at_1000 value: 16.903000000000002 - 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type: recall_at_20 value: 31.508999999999997 - type: recall_at_3 value: 17.368 - type: recall_at_5 value: 20.287 - task: type: Retrieval dataset: type: mteb/cqadupstack-wordpress name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 6.5680000000000005 - type: map_at_10 value: 10.004 - type: map_at_100 value: 10.639999999999999 - type: map_at_1000 value: 10.717 - type: map_at_20 value: 10.259 - type: map_at_3 value: 8.984 - type: map_at_5 value: 9.613 - type: mrr_at_1 value: 7.579 - type: mrr_at_10 value: 11.360000000000001 - type: mrr_at_100 value: 12.024 - type: mrr_at_1000 value: 12.104 - type: mrr_at_20 value: 11.652999999999999 - type: mrr_at_3 value: 10.32 - type: mrr_at_5 value: 10.967 - type: ndcg_at_1 value: 7.579 - type: ndcg_at_10 value: 12.084 - type: ndcg_at_100 value: 15.68 - type: ndcg_at_1000 value: 18.139 - type: ndcg_at_20 value: 13.001999999999999 - type: ndcg_at_3 value: 10.096 - 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type: accuracy value: 66.32145258910558 - type: f1 value: 64.84562142367274 - task: type: Classification dataset: type: mteb/amazon_massive_scenario name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 70.6186953597848 - type: f1 value: 70.54134651579527 - task: type: Clustering dataset: type: mteb/medrxiv-clustering-p2p name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.349141993223746 - task: type: Clustering dataset: type: mteb/medrxiv-clustering-s2s name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 25.585510809207832 - task: type: Clustering dataset: type: mteb/reddit-clustering name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 40.32381150443673 - task: type: Clustering dataset: type: mteb/reddit-clustering-p2p name: MTEB RedditClusteringP2P config: default split: test revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 metrics: - type: v_measure value: 45.985786847845056 - task: type: Reranking dataset: type: mteb/scidocs-reranking name: MTEB SciDocsRR config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 70.58830468830689 - type: mrr value: 89.4269474171435 - task: type: PairClassification dataset: type: mteb/sprintduplicatequestions-pairclassification name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.56039603960396 - type: cos_sim_ap value: 82.80827567304317 - type: cos_sim_f1 value: 76.10350076103501 - type: cos_sim_precision value: 77.2399588053553 - type: cos_sim_recall value: 75.0 - type: dot_accuracy value: 99.31980198019802 - 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task: type: Clustering dataset: type: mteb/stackexchange-clustering-p2p name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 28.872051407552323 - task: type: Reranking dataset: type: mteb/stackoverflowdupquestions-reranking name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 40.992315303011075 - type: mrr value: 41.398027013835836 - task: type: Classification dataset: type: mteb/toxic_conversations_50k name: MTEB ToxicConversationsClassification config: default split: test revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de metrics: - type: accuracy value: 67.0849609375 - type: ap value: 11.788791268631641 - type: f1 value: 50.9803202223727 - task: type: Classification dataset: type: mteb/tweet_sentiment_extraction name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 57.57498585172609 - type: f1 value: 57.91311800407575 - task: type: Clustering dataset: type: mteb/twentynewsgroups-clustering name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 33.06505289570024 - task: type: PairClassification dataset: type: mteb/twittersemeval2015-pairclassification name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 83.71580139476664 - type: cos_sim_ap value: 66.15526088864542 - type: cos_sim_f1 value: 62.3031151557578 - type: cos_sim_precision value: 55.84605731018616 - type: cos_sim_recall value: 70.44854881266491 - type: dot_accuracy value: 81.99320498301246 - type: dot_ap value: 59.10143958693731 - type: dot_f1 value: 59.58787878787878 - type: dot_precision value: 55.11210762331839 - type: dot_recall value: 64.85488126649076 - type: euclidean_accuracy value: 83.59063002920665 - type: euclidean_ap value: 65.63819065809086 - type: euclidean_f1 value: 61.41935483870967 - type: euclidean_precision value: 55.29039070749736 - type: euclidean_recall value: 69.07651715039577 - type: manhattan_accuracy value: 83.6263932765095 - type: manhattan_ap value: 65.69964834245273 - type: manhattan_f1 value: 61.52737752161382 - type: manhattan_precision value: 56.45658880564125 - type: manhattan_recall value: 67.59894459102902 - type: max_accuracy value: 83.71580139476664 - type: max_ap value: 66.15526088864542 - type: max_f1 value: 62.3031151557578 - task: type: PairClassification dataset: type: mteb/twitterurlcorpus-pairclassification name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.99821477083091 - type: cos_sim_ap value: 84.27684726247264 - type: cos_sim_f1 value: 76.53120888758953 - type: cos_sim_precision value: 72.83667223149693 - type: cos_sim_recall value: 80.62057283646443 - type: dot_accuracy value: 87.04738619164047 - type: dot_ap value: 80.98829705864014 - type: dot_f1 value: 74.43375169234146 - type: dot_precision value: 70.9225298096367 - type: dot_recall value: 78.31074838312288 - type: euclidean_accuracy value: 87.69744246516863 - type: euclidean_ap value: 83.50528467088635 - type: euclidean_f1 value: 75.65629784532656 - type: euclidean_precision value: 73.45370168950764 - type: euclidean_recall value: 77.99507237449954 - type: manhattan_accuracy value: 87.6916210657042 - type: manhattan_ap value: 83.49074793688219 - type: manhattan_f1 value: 75.60462282612708 - type: manhattan_precision value: 72.63568641362184 - type: manhattan_recall value: 78.8266091777025 - type: max_accuracy value: 87.99821477083091 - type: max_ap value: 84.27684726247264 - type: max_f1 value: 76.53120888758953 --- Embedding model trained on [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) with the [AnglE-optimized Text Embeddings](https://arxiv.org/abs/2309.12871)