--- license: mit library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - bge - mteb - mergekit - merge base_model: - Mihaiii/Wartortle - TaylorAI/bge-micro-v2 - TaylorAI/bge-micro model-index: - name: Kyurem results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 66.83582089552239 - type: ap value: 29.376874523513568 - type: f1 value: 60.66923695285069 - task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 70.484925 - type: ap value: 64.8627321394567 - type: f1 value: 70.2682474297364 - task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 33.652 - type: f1 value: 33.48200260424572 - task: type: Retrieval dataset: type: mteb/arguana name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 22.404 - type: map_at_10 value: 36.144999999999996 - type: map_at_100 value: 37.309 - type: map_at_1000 value: 37.333 - type: map_at_20 value: 37.0 - type: map_at_3 value: 31.105 - type: map_at_5 value: 34.149 - type: mrr_at_1 value: 23.186 - type: mrr_at_10 value: 36.439 - type: mrr_at_100 value: 37.617 - type: mrr_at_1000 value: 37.641000000000005 - type: mrr_at_20 value: 37.308 - type: mrr_at_3 value: 31.52 - type: mrr_at_5 value: 34.486 - type: ndcg_at_1 value: 22.404 - type: ndcg_at_10 value: 44.346000000000004 - type: ndcg_at_100 value: 49.594 - type: ndcg_at_1000 value: 50.183 - type: ndcg_at_20 value: 47.435 - type: ndcg_at_3 value: 34.032000000000004 - type: ndcg_at_5 value: 39.513999999999996 - type: precision_at_1 value: 22.404 - type: precision_at_10 value: 7.077 - type: precision_at_100 value: 0.9440000000000001 - type: precision_at_1000 value: 0.099 - type: precision_at_20 value: 4.147 - type: precision_at_3 value: 14.177000000000001 - type: precision_at_5 value: 11.166 - type: recall_at_1 value: 22.404 - type: recall_at_10 value: 70.768 - type: recall_at_100 value: 94.381 - type: recall_at_1000 value: 98.933 - type: recall_at_20 value: 82.93 - type: recall_at_3 value: 42.532 - type: recall_at_5 value: 55.832 - task: type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 41.21099868792524 - type: v_measures value: [0.40254382303117714, 0.4224347357966498, 0.4262617634576952, 0.4155783533141191, 0.4134542696349061, 0.4109306689786127, 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mteb/cqadupstack-android name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 21.698999999999998 - type: map_at_10 value: 28.98 - type: map_at_100 value: 30.364 - type: map_at_1000 value: 30.516 - type: map_at_20 value: 29.681 - type: map_at_3 value: 26.418000000000003 - type: map_at_5 value: 27.590999999999998 - type: mrr_at_1 value: 27.325 - type: mrr_at_10 value: 34.595 - type: mrr_at_100 value: 35.63 - type: mrr_at_1000 value: 35.705 - type: mrr_at_20 value: 35.199000000000005 - type: mrr_at_3 value: 32.403 - type: mrr_at_5 value: 33.605000000000004 - type: ndcg_at_1 value: 27.325 - type: ndcg_at_10 value: 34.005 - type: ndcg_at_100 value: 40.031 - type: ndcg_at_1000 value: 42.962 - type: ndcg_at_20 value: 36.095 - type: ndcg_at_3 value: 30.081999999999997 - type: ndcg_at_5 value: 31.447999999999997 - type: precision_at_1 value: 27.325 - type: precision_at_10 value: 6.552 - type: precision_at_100 value: 1.22 - type: precision_at_1000 value: 0.17500000000000002 - type: precision_at_20 value: 4.041 - type: precision_at_3 value: 14.496999999999998 - type: precision_at_5 value: 10.242999999999999 - type: recall_at_1 value: 21.698999999999998 - type: recall_at_10 value: 43.295 - type: recall_at_100 value: 69.304 - type: recall_at_1000 value: 89.241 - type: recall_at_20 value: 50.856 - type: recall_at_3 value: 31.230000000000004 - type: recall_at_5 value: 35.587999999999994 - task: type: Retrieval dataset: type: mteb/cqadupstack-english name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 14.81 - type: map_at_10 value: 19.692999999999998 - type: map_at_100 value: 20.535 - type: map_at_1000 value: 20.643 - type: map_at_20 value: 20.097 - type: map_at_3 value: 18.157 - type: map_at_5 value: 19.006999999999998 - type: mrr_at_1 value: 17.898 - type: mrr_at_10 value: 22.719 - type: mrr_at_100 value: 23.473 - type: mrr_at_1000 value: 23.547 - type: mrr_at_20 value: 23.111 - type: mrr_at_3 value: 21.189 - type: mrr_at_5 value: 21.934 - type: ndcg_at_1 value: 17.898 - type: ndcg_at_10 value: 22.817999999999998 - type: ndcg_at_100 value: 26.998 - type: ndcg_at_1000 value: 29.698 - type: ndcg_at_20 value: 24.123 - type: ndcg_at_3 value: 20.115 - type: ndcg_at_5 value: 21.288999999999998 - type: precision_at_1 value: 17.898 - type: precision_at_10 value: 4.159 - type: precision_at_100 value: 0.769 - type: precision_at_1000 value: 0.123 - type: precision_at_20 value: 2.506 - type: precision_at_3 value: 9.406 - type: precision_at_5 value: 6.688 - type: recall_at_1 value: 14.81 - type: recall_at_10 value: 29.049000000000003 - type: recall_at_100 value: 47.699999999999996 - type: recall_at_1000 value: 66.43599999999999 - type: recall_at_20 value: 33.812 - type: recall_at_3 value: 21.435000000000002 - type: recall_at_5 value: 24.573999999999998 - task: type: Retrieval dataset: type: mteb/cqadupstack-gaming name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 25.629 - type: map_at_10 value: 35.592 - type: map_at_100 value: 36.663000000000004 - type: map_at_1000 value: 36.746 - type: map_at_20 value: 36.15 - type: map_at_3 value: 32.903 - type: map_at_5 value: 34.448 - type: mrr_at_1 value: 29.404000000000003 - type: mrr_at_10 value: 38.423 - type: mrr_at_100 value: 39.283 - type: mrr_at_1000 value: 39.334 - type: mrr_at_20 value: 38.895 - type: mrr_at_3 value: 36.134 - type: mrr_at_5 value: 37.441 - type: ndcg_at_1 value: 29.404000000000003 - type: ndcg_at_10 value: 40.814 - type: ndcg_at_100 value: 45.800999999999995 - type: ndcg_at_1000 value: 47.721999999999994 - type: ndcg_at_20 value: 42.576 - type: ndcg_at_3 value: 35.931999999999995 - type: ndcg_at_5 value: 38.305 - type: precision_at_1 value: 29.404000000000003 - type: precision_at_10 value: 6.802999999999999 - type: precision_at_100 value: 1.023 - type: precision_at_1000 value: 0.125 - type: precision_at_20 value: 3.9059999999999997 - type: precision_at_3 value: 16.343 - type: precision_at_5 value: 11.472999999999999 - type: recall_at_1 value: 25.629 - type: recall_at_10 value: 53.672 - type: recall_at_100 value: 76.322 - type: recall_at_1000 value: 90.231 - type: recall_at_20 value: 60.19 - type: recall_at_3 value: 40.454 - type: recall_at_5 value: 46.237 - task: type: Retrieval dataset: type: mteb/cqadupstack-gis name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 15.157000000000002 - type: map_at_10 value: 21.04 - type: map_at_100 value: 21.94 - type: map_at_1000 value: 22.048000000000002 - type: map_at_20 value: 21.497 - type: map_at_3 value: 19.082 - type: map_at_5 value: 20.252 - type: mrr_at_1 value: 16.723 - type: mrr_at_10 value: 22.637999999999998 - type: mrr_at_100 value: 23.51 - type: mrr_at_1000 value: 23.602 - type: mrr_at_20 value: 23.086000000000002 - type: mrr_at_3 value: 20.716 - type: mrr_at_5 value: 21.863 - type: ndcg_at_1 value: 16.723 - type: ndcg_at_10 value: 24.684 - type: ndcg_at_100 value: 29.397000000000002 - type: ndcg_at_1000 value: 32.545 - type: ndcg_at_20 value: 26.299 - type: ndcg_at_3 value: 20.809 - type: ndcg_at_5 value: 22.830000000000002 - type: precision_at_1 value: 16.723 - type: precision_at_10 value: 3.932 - type: precision_at_100 value: 0.661 - type: precision_at_1000 value: 0.098 - type: precision_at_20 value: 2.339 - type: precision_at_3 value: 8.964 - type: precision_at_5 value: 6.531000000000001 - type: recall_at_1 value: 15.157000000000002 - type: recall_at_10 value: 34.552 - type: recall_at_100 value: 56.629 - type: recall_at_1000 value: 80.962 - type: recall_at_20 value: 40.626 - type: recall_at_3 value: 24.012 - type: recall_at_5 value: 28.888 - task: type: Retrieval dataset: type: mteb/cqadupstack-mathematica name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 10.983 - type: map_at_10 value: 16.149 - type: map_at_100 value: 17.321 - type: map_at_1000 value: 17.432 - type: map_at_20 value: 16.742 - type: map_at_3 value: 14.524999999999999 - type: map_at_5 value: 15.357000000000001 - type: mrr_at_1 value: 13.433 - type: mrr_at_10 value: 19.508 - type: mrr_at_100 value: 20.559 - type: mrr_at_1000 value: 20.64 - type: mrr_at_20 value: 20.078 - type: mrr_at_3 value: 17.848 - type: mrr_at_5 value: 18.657 - type: ndcg_at_1 value: 13.433 - type: ndcg_at_10 value: 19.719 - type: ndcg_at_100 value: 25.689 - type: ndcg_at_1000 value: 28.907 - type: ndcg_at_20 value: 21.816 - type: ndcg_at_3 value: 16.659 - type: ndcg_at_5 value: 17.877000000000002 - type: precision_at_1 value: 13.433 - type: precision_at_10 value: 3.794 - type: precision_at_100 value: 0.7849999999999999 - type: precision_at_1000 value: 0.12 - type: precision_at_20 value: 2.456 - type: precision_at_3 value: 8.126 - type: precision_at_5 value: 5.821 - type: recall_at_1 value: 10.983 - type: recall_at_10 value: 27.284000000000002 - type: recall_at_100 value: 54.167 - type: recall_at_1000 value: 78.131 - type: recall_at_20 value: 35.012 - type: recall_at_3 value: 18.557000000000002 - type: recall_at_5 value: 21.753 - task: type: Retrieval dataset: type: mteb/cqadupstack-physics name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 19.062 - type: map_at_10 value: 26.586 - type: map_at_100 value: 27.767999999999997 - type: map_at_1000 value: 27.904 - type: map_at_20 value: 27.162999999999997 - type: map_at_3 value: 23.751 - type: map_at_5 value: 25.320999999999998 - type: mrr_at_1 value: 23.388 - type: mrr_at_10 value: 31.291999999999998 - type: mrr_at_100 value: 32.196000000000005 - type: mrr_at_1000 value: 32.269999999999996 - type: mrr_at_20 value: 31.752000000000002 - type: mrr_at_3 value: 28.681 - type: mrr_at_5 value: 30.168 - type: ndcg_at_1 value: 23.388 - type: ndcg_at_10 value: 31.741999999999997 - type: ndcg_at_100 value: 37.279 - type: ndcg_at_1000 value: 40.199 - type: ndcg_at_20 value: 33.566 - type: ndcg_at_3 value: 26.858999999999998 - type: ndcg_at_5 value: 29.165000000000003 - type: precision_at_1 value: 23.388 - type: precision_at_10 value: 6.0249999999999995 - type: precision_at_100 value: 1.056 - type: precision_at_1000 value: 0.151 - type: precision_at_20 value: 3.614 - type: precision_at_3 value: 12.737000000000002 - type: precision_at_5 value: 9.471 - type: recall_at_1 value: 19.062 - type: recall_at_10 value: 42.549 - type: recall_at_100 value: 66.708 - type: recall_at_1000 value: 86.7 - type: recall_at_20 value: 48.991 - type: recall_at_3 value: 29.024 - type: recall_at_5 value: 34.885 - task: type: Retrieval dataset: type: mteb/cqadupstack-programmers name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 13.578000000000001 - type: map_at_10 value: 19.436 - type: map_at_100 value: 20.51 - type: map_at_1000 value: 20.654 - type: map_at_20 value: 19.948 - type: map_at_3 value: 17.293 - type: map_at_5 value: 18.166 - type: mrr_at_1 value: 16.21 - type: mrr_at_10 value: 22.668 - type: mrr_at_100 value: 23.572000000000003 - type: mrr_at_1000 value: 23.666 - type: mrr_at_20 value: 23.095 - type: mrr_at_3 value: 20.491 - type: mrr_at_5 value: 21.444 - type: ndcg_at_1 value: 16.21 - type: ndcg_at_10 value: 23.648 - type: ndcg_at_100 value: 29.029 - type: ndcg_at_1000 value: 32.550000000000004 - type: ndcg_at_20 value: 25.28 - type: ndcg_at_3 value: 19.515 - type: ndcg_at_5 value: 20.821 - type: precision_at_1 value: 16.21 - type: precision_at_10 value: 4.566 - type: precision_at_100 value: 0.873 - type: precision_at_1000 value: 0.135 - type: precision_at_20 value: 2.791 - type: precision_at_3 value: 9.399000000000001 - type: precision_at_5 value: 6.758 - type: recall_at_1 value: 13.578000000000001 - type: recall_at_10 value: 33.276 - type: recall_at_100 value: 57.316 - type: recall_at_1000 value: 82.33500000000001 - type: recall_at_20 value: 38.95 - type: recall_at_3 value: 21.467 - type: recall_at_5 value: 24.939 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 15.536166666666668 - type: map_at_10 value: 21.584333333333337 - type: map_at_100 value: 22.610750000000003 - type: map_at_1000 value: 22.732083333333335 - type: map_at_20 value: 22.088166666666666 - type: map_at_3 value: 19.561583333333328 - type: map_at_5 value: 20.634666666666668 - type: mrr_at_1 value: 18.388583333333333 - type: mrr_at_10 value: 24.63783333333333 - type: mrr_at_100 value: 25.53608333333333 - type: mrr_at_1000 value: 25.61658333333333 - type: mrr_at_20 value: 25.101000000000003 - type: mrr_at_3 value: 22.641583333333333 - type: mrr_at_5 value: 23.715083333333336 - type: ndcg_at_1 value: 18.388583333333333 - type: ndcg_at_10 value: 25.564000000000004 - type: ndcg_at_100 value: 30.654500000000002 - type: ndcg_at_1000 value: 33.64308333333334 - type: ndcg_at_20 value: 27.234 - type: ndcg_at_3 value: 21.81491666666667 - type: ndcg_at_5 value: 23.46691666666667 - type: precision_at_1 value: 18.388583333333333 - type: precision_at_10 value: 4.581499999999999 - type: precision_at_100 value: 0.8400833333333335 - type: precision_at_1000 value: 0.12791666666666665 - type: precision_at_20 value: 2.7849166666666663 - type: precision_at_3 value: 10.077333333333334 - type: precision_at_5 value: 7.273250000000001 - type: recall_at_1 value: 15.536166666666668 - type: recall_at_10 value: 34.61533333333334 - type: recall_at_100 value: 57.71308333333332 - type: recall_at_1000 value: 79.32074999999999 - type: recall_at_20 value: 40.750416666666666 - type: recall_at_3 value: 24.079333333333334 - type: recall_at_5 value: 28.31308333333333 - task: type: Retrieval dataset: type: mteb/cqadupstack-stats name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 14.603 - type: map_at_10 value: 20.063 - type: map_at_100 value: 20.966 - type: map_at_1000 value: 21.060000000000002 - type: map_at_20 value: 20.531 - type: map_at_3 value: 18.448 - type: map_at_5 value: 19.484 - type: mrr_at_1 value: 16.258 - type: mrr_at_10 value: 22.21 - type: mrr_at_100 value: 23.066 - type: mrr_at_1000 value: 23.142 - type: mrr_at_20 value: 22.631999999999998 - type: mrr_at_3 value: 20.602999999999998 - type: mrr_at_5 value: 21.593 - type: ndcg_at_1 value: 16.258 - type: ndcg_at_10 value: 23.396 - type: ndcg_at_100 value: 28.023999999999997 - type: ndcg_at_1000 value: 30.681000000000004 - type: ndcg_at_20 value: 24.971 - type: ndcg_at_3 value: 20.352 - type: ndcg_at_5 value: 22.036 - type: precision_at_1 value: 16.258 - type: precision_at_10 value: 3.758 - type: precision_at_100 value: 0.661 - type: precision_at_1000 value: 0.096 - type: precision_at_20 value: 2.247 - type: precision_at_3 value: 9.1 - type: precision_at_5 value: 6.503 - type: recall_at_1 value: 14.603 - type: recall_at_10 value: 31.578 - type: recall_at_100 value: 52.87500000000001 - type: recall_at_1000 value: 72.993 - type: recall_at_20 value: 37.464 - type: recall_at_3 value: 23.089000000000002 - type: recall_at_5 value: 27.272000000000002 - task: type: Retrieval dataset: type: mteb/cqadupstack-tex name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 9.844999999999999 - type: map_at_10 value: 14.209 - type: map_at_100 value: 15.094 - type: map_at_1000 value: 15.215 - type: map_at_20 value: 14.646 - type: map_at_3 value: 12.802 - type: map_at_5 value: 13.543 - type: mrr_at_1 value: 12.113 - type: mrr_at_10 value: 16.875 - type: mrr_at_100 value: 17.73 - type: mrr_at_1000 value: 17.824 - type: mrr_at_20 value: 17.318 - type: mrr_at_3 value: 15.273 - type: mrr_at_5 value: 16.164 - type: ndcg_at_1 value: 12.113 - type: ndcg_at_10 value: 17.28 - type: ndcg_at_100 value: 21.939 - type: ndcg_at_1000 value: 25.262 - type: ndcg_at_20 value: 18.822 - type: ndcg_at_3 value: 14.485999999999999 - type: ndcg_at_5 value: 15.731 - type: precision_at_1 value: 12.113 - type: precision_at_10 value: 3.19 - type: precision_at_100 value: 0.661 - type: precision_at_1000 value: 0.11 - type: precision_at_20 value: 2.046 - type: precision_at_3 value: 6.825 - type: precision_at_5 value: 5.003 - type: recall_at_1 value: 9.844999999999999 - type: recall_at_10 value: 24.005000000000003 - type: recall_at_100 value: 45.385 - type: recall_at_1000 value: 69.99499999999999 - type: recall_at_20 value: 29.704000000000004 - type: recall_at_3 value: 16.295 - type: recall_at_5 value: 19.444 - task: type: Retrieval dataset: type: mteb/cqadupstack-unix name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 14.875 - type: map_at_10 value: 20.305999999999997 - type: map_at_100 value: 21.23 - type: map_at_1000 value: 21.342 - type: map_at_20 value: 20.709 - type: map_at_3 value: 18.199 - type: map_at_5 value: 19.268 - type: mrr_at_1 value: 17.071 - type: mrr_at_10 value: 23.003 - type: mrr_at_100 value: 23.857999999999997 - type: mrr_at_1000 value: 23.939 - type: mrr_at_20 value: 23.398 - type: mrr_at_3 value: 20.569000000000003 - type: mrr_at_5 value: 21.776999999999997 - type: ndcg_at_1 value: 17.071 - type: ndcg_at_10 value: 24.262 - type: ndcg_at_100 value: 29.217 - type: ndcg_at_1000 value: 32.133 - type: ndcg_at_20 value: 25.679000000000002 - type: ndcg_at_3 value: 19.844 - type: ndcg_at_5 value: 21.712 - type: precision_at_1 value: 17.071 - type: precision_at_10 value: 4.198 - type: precision_at_100 value: 0.765 - type: precision_at_1000 value: 0.11199999999999999 - type: precision_at_20 value: 2.481 - type: precision_at_3 value: 8.613 - type: precision_at_5 value: 6.287 - type: recall_at_1 value: 14.875 - type: recall_at_10 value: 33.915 - type: recall_at_100 value: 56.513000000000005 - type: recall_at_1000 value: 77.737 - type: recall_at_20 value: 39.047 - type: recall_at_3 value: 22.017999999999997 - type: recall_at_5 value: 26.514 - task: type: Retrieval dataset: type: mteb/cqadupstack-webmasters name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 16.02 - type: map_at_10 value: 21.43 - type: map_at_100 value: 22.468 - type: map_at_1000 value: 22.659000000000002 - type: map_at_20 value: 21.926000000000002 - type: map_at_3 value: 19.258 - type: map_at_5 value: 20.405 - type: mrr_at_1 value: 19.564999999999998 - type: mrr_at_10 value: 25.063999999999997 - type: mrr_at_100 value: 25.918999999999997 - type: mrr_at_1000 value: 26.007 - type: mrr_at_20 value: 25.490000000000002 - type: mrr_at_3 value: 22.727 - type: mrr_at_5 value: 23.992 - type: ndcg_at_1 value: 19.564999999999998 - type: ndcg_at_10 value: 25.575 - type: ndcg_at_100 value: 30.464999999999996 - type: ndcg_at_1000 value: 34.131 - type: ndcg_at_20 value: 27.119 - type: ndcg_at_3 value: 21.607000000000003 - type: ndcg_at_5 value: 23.331 - type: precision_at_1 value: 19.564999999999998 - type: precision_at_10 value: 4.822 - type: precision_at_100 value: 0.98 - type: precision_at_1000 value: 0.196 - type: precision_at_20 value: 3.0140000000000002 - type: precision_at_3 value: 10.079 - type: precision_at_5 value: 7.51 - type: recall_at_1 value: 16.02 - type: recall_at_10 value: 34.215 - type: recall_at_100 value: 57.220000000000006 - type: recall_at_1000 value: 81.721 - type: recall_at_20 value: 40.169 - type: recall_at_3 value: 22.289 - type: recall_at_5 value: 26.856 - task: type: Retrieval dataset: type: mteb/cqadupstack-wordpress name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 10.173 - type: map_at_10 value: 15.528 - type: map_at_100 value: 16.470000000000002 - type: map_at_1000 value: 16.566 - type: map_at_20 value: 15.967999999999998 - type: map_at_3 value: 13.902999999999999 - type: map_at_5 value: 14.774000000000001 - type: mrr_at_1 value: 11.275 - type: mrr_at_10 value: 16.659 - type: mrr_at_100 value: 17.637 - type: mrr_at_1000 value: 17.723 - type: mrr_at_20 value: 17.158 - type: mrr_at_3 value: 15.065000000000001 - type: mrr_at_5 value: 15.943 - type: ndcg_at_1 value: 11.275 - type: ndcg_at_10 value: 18.825 - type: ndcg_at_100 value: 23.985 - type: ndcg_at_1000 value: 26.927 - type: ndcg_at_20 value: 20.462 - type: ndcg_at_3 value: 15.519 - type: ndcg_at_5 value: 17.058 - type: precision_at_1 value: 11.275 - type: precision_at_10 value: 3.179 - type: precision_at_100 value: 0.627 - type: precision_at_1000 value: 0.094 - type: precision_at_20 value: 1.978 - type: precision_at_3 value: 6.839 - type: precision_at_5 value: 4.9910000000000005 - type: recall_at_1 value: 10.173 - type: recall_at_10 value: 27.994000000000003 - type: recall_at_100 value: 52.418 - type: recall_at_1000 value: 75.36699999999999 - type: recall_at_20 value: 34.184 - type: recall_at_3 value: 19.082 - type: recall_at_5 value: 22.807 - task: type: Retrieval dataset: type: mteb/climate-fever name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 7.394 - type: map_at_10 value: 12.179 - type: map_at_100 value: 13.644 - type: map_at_1000 value: 13.821 - type: map_at_20 value: 12.969 - type: map_at_3 value: 10.177 - type: map_at_5 value: 11.155 - type: mrr_at_1 value: 15.961 - type: mrr_at_10 value: 24.118000000000002 - type: mrr_at_100 value: 25.318 - type: mrr_at_1000 value: 25.384 - type: mrr_at_20 value: 24.911 - type: mrr_at_3 value: 21.151 - type: mrr_at_5 value: 22.731 - type: ndcg_at_1 value: 15.961 - type: ndcg_at_10 value: 17.77 - type: ndcg_at_100 value: 24.282 - type: ndcg_at_1000 value: 27.788 - type: ndcg_at_20 value: 20.345 - type: ndcg_at_3 value: 13.996 - type: ndcg_at_5 value: 15.277 - type: precision_at_1 value: 15.961 - type: precision_at_10 value: 5.629 - type: precision_at_100 value: 1.243 - type: precision_at_1000 value: 0.188 - type: precision_at_20 value: 3.8830000000000005 - type: precision_at_3 value: 10.228 - type: precision_at_5 value: 8.065 - type: recall_at_1 value: 7.394 - type: recall_at_10 value: 22.037000000000003 - type: recall_at_100 value: 44.823 - type: recall_at_1000 value: 64.782 - type: recall_at_20 value: 29.416999999999998 - type: recall_at_3 value: 12.931999999999999 - type: recall_at_5 value: 16.392 - task: type: Retrieval dataset: type: mteb/dbpedia name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 4.22 - type: map_at_10 value: 9.109 - type: map_at_100 value: 12.520999999999999 - type: map_at_1000 value: 13.461 - type: map_at_20 value: 10.374 - type: map_at_3 value: 6.524000000000001 - type: map_at_5 value: 7.664999999999999 - type: mrr_at_1 value: 34.75 - type: mrr_at_10 value: 46.822 - type: mrr_at_100 value: 47.501 - type: mrr_at_1000 value: 47.546 - type: mrr_at_20 value: 47.246 - type: mrr_at_3 value: 43.875 - type: mrr_at_5 value: 45.637 - type: ndcg_at_1 value: 25.874999999999996 - type: ndcg_at_10 value: 21.938 - type: ndcg_at_100 value: 24.924 - type: ndcg_at_1000 value: 31.627 - type: ndcg_at_20 value: 21.627 - type: ndcg_at_3 value: 23.132 - type: ndcg_at_5 value: 22.553 - type: precision_at_1 value: 34.75 - type: precision_at_10 value: 18.65 - type: precision_at_100 value: 5.862 - type: precision_at_1000 value: 1.348 - type: precision_at_20 value: 13.750000000000002 - type: precision_at_3 value: 27.333000000000002 - type: precision_at_5 value: 24.05 - type: recall_at_1 value: 4.22 - type: recall_at_10 value: 14.191 - type: recall_at_100 value: 31.192999999999998 - type: recall_at_1000 value: 53.517 - type: recall_at_20 value: 18.516 - type: recall_at_3 value: 8.036 - type: recall_at_5 value: 10.329 - task: type: Classification dataset: type: mteb/emotion name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 39.184999999999995 - type: f1 value: 35.27301038035798 - task: type: Classification dataset: type: mteb/imdb name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 65.1424 - type: ap value: 60.060650493494705 - type: f1 value: 64.97836345253516 - task: type: Classification dataset: type: mteb/mtop_domain name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 89.27496580027359 - type: f1 value: 88.46317641931785 - task: type: Classification dataset: type: mteb/mtop_intent name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 65.35567715458276 - type: f1 value: 46.496133882315355 - task: type: Classification dataset: type: mteb/amazon_massive_intent name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 65.31943510423672 - type: f1 value: 63.99472103750694 - task: type: Classification dataset: type: mteb/amazon_massive_scenario name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 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70.0263852242744 - type: euclidean_accuracy value: 83.18531322644095 - type: euclidean_ap value: 64.47939517179049 - type: euclidean_f1 value: 61.326567596955414 - type: euclidean_precision value: 56.56340539335859 - type: euclidean_recall value: 66.96569920844327 - type: manhattan_accuracy value: 82.9826548250581 - type: manhattan_ap value: 64.01165035368786 - type: manhattan_f1 value: 60.99290780141844 - type: manhattan_precision value: 54.52088962793597 - type: manhattan_recall value: 69.2084432717678 - type: max_accuracy value: 83.18531322644095 - type: max_ap value: 64.47939517179049 - type: max_f1 value: 61.326567596955414 - task: type: PairClassification dataset: type: mteb/twitterurlcorpus-pairclassification name: MTEB TwitterURLCorpus config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 87.53832421314084 - type: cos_sim_ap value: 82.94679942153577 - type: cos_sim_f1 value: 74.90408975750995 - type: cos_sim_precision value: 70.67340527250376 - type: cos_sim_recall value: 79.6735448105944 - type: dot_accuracy value: 85.2214072262972 - type: dot_ap value: 76.39891716014382 - type: dot_f1 value: 70.62225554246545 - type: dot_precision value: 65.83904679491447 - type: dot_recall value: 76.15491222667077 - type: euclidean_accuracy value: 87.55190747855785 - type: euclidean_ap value: 82.9537174035843 - type: euclidean_f1 value: 75.01588844442783 - type: euclidean_precision value: 72.90894557081607 - type: euclidean_recall value: 77.24822913458577 - type: manhattan_accuracy value: 87.5499670120697 - type: manhattan_ap value: 82.85971137826064 - type: manhattan_f1 value: 74.86758672137262 - type: manhattan_precision value: 72.60888438720879 - type: manhattan_recall value: 77.27132737911919 - type: max_accuracy value: 87.55190747855785 - type: max_ap value: 82.9537174035843 - type: max_f1 value: 75.01588844442783 --- # Kyurem This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [TaylorAI/bge-micro](https://huggingface.co/TaylorAI/bge-micro) as a base. ### Models Merged The following models were included in the merge: * [Mihaiii/Wartortle](https://huggingface.co/Mihaiii/Wartortle) * [TaylorAI/bge-micro-v2](https://huggingface.co/TaylorAI/bge-micro-v2) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: Mihaiii/Wartortle - model: TaylorAI/bge-micro-v2 - model: TaylorAI/bge-micro merge_method: model_stock base_model: TaylorAI/bge-micro ```