diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -13,7 +13,1866 @@ tags: base_model: - Mihaiii/Wartortle - TaylorAI/bge-micro-v2 - +model-index: +- name: Giratina + results: + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 69.56716417910448 + - type: ap + value: 31.399435128856624 + - type: f1 + value: 63.139089415537256 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 74.73525000000001 + - type: ap + value: 69.2327764533514 + - type: f1 + value: 74.61617659775962 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (en) + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 35.356 + - type: f1 + value: 35.165109893437204 + - task: + type: Retrieval + dataset: + type: mteb/arguana + name: MTEB ArguAna + config: default + split: test + revision: c22ab2a51041ffd869aaddef7af8d8215647e41a + metrics: + - type: map_at_1 + value: 17.141000000000002 + - type: map_at_10 + value: 28.292 + - type: map_at_100 + value: 29.532000000000004 + - type: map_at_1000 + value: 29.580000000000002 + - type: map_at_20 + value: 29.048000000000002 + - type: map_at_3 + value: 24.277 + - type: map_at_5 + value: 26.339000000000002 + - type: mrr_at_1 + value: 17.781 + - type: mrr_at_10 + value: 28.534 + - type: mrr_at_100 + value: 29.779 + - type: mrr_at_1000 + value: 29.826999999999998 + - type: mrr_at_20 + value: 29.293000000000003 + - type: mrr_at_3 + value: 24.490000000000002 + - type: mrr_at_5 + value: 26.564 + - type: ndcg_at_1 + value: 17.141000000000002 + - type: ndcg_at_10 + value: 35.004000000000005 + - type: ndcg_at_100 + value: 41.056 + - type: ndcg_at_1000 + value: 42.388 + - type: ndcg_at_20 + value: 37.721 + - type: ndcg_at_3 + value: 26.592 + - type: ndcg_at_5 + value: 30.294999999999998 + - type: precision_at_1 + value: 17.141000000000002 + - type: precision_at_10 + value: 5.676 + - type: precision_at_100 + value: 0.851 + - type: precision_at_1000 + value: 0.096 + - type: precision_at_20 + value: 3.3709999999999996 + - type: precision_at_3 + value: 11.094999999999999 + - type: precision_at_5 + value: 8.450000000000001 + - type: recall_at_1 + value: 17.141000000000002 + - type: recall_at_10 + value: 56.757000000000005 + - type: recall_at_100 + value: 85.064 + - type: recall_at_1000 + value: 95.661 + - type: recall_at_20 + value: 67.425 + - type: recall_at_3 + value: 33.286 + - type: recall_at_5 + value: 42.248000000000005 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + 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type: mrr_at_1000 + value: 33.061 + - type: mrr_at_20 + value: 32.471 + - type: mrr_at_3 + value: 30.019000000000002 + - type: mrr_at_5 + value: 31.041999999999998 + - type: ndcg_at_1 + value: 25.607999999999997 + - type: ndcg_at_10 + value: 31.438 + - type: ndcg_at_100 + value: 37.347 + - type: ndcg_at_1000 + value: 40.075 + - type: ndcg_at_20 + value: 33.068 + - type: ndcg_at_3 + value: 27.846 + - type: ndcg_at_5 + value: 29.304999999999996 + - type: precision_at_1 + value: 25.607999999999997 + - type: precision_at_10 + value: 5.923 + - type: precision_at_100 + value: 1.102 + - type: precision_at_1000 + value: 0.161 + - type: precision_at_20 + value: 3.5340000000000003 + - type: precision_at_3 + value: 13.305 + - type: precision_at_5 + value: 9.585 + - type: recall_at_1 + value: 20.156 + - type: recall_at_10 + value: 39.741 + - type: recall_at_100 + value: 66.428 + - type: recall_at_1000 + value: 84.694 + - type: recall_at_20 + value: 45.688 + - type: recall_at_3 + value: 28.876 + - type: recall_at_5 + value: 33.284000000000006 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-english + name: MTEB CQADupstackEnglishRetrieval + config: default + split: test + revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 + metrics: + - type: map_at_1 + value: 14.568 + - type: map_at_10 + value: 19.356 + - type: map_at_100 + value: 20.044 + - type: map_at_1000 + value: 20.146 + - type: map_at_20 + value: 19.717000000000002 + - type: map_at_3 + value: 17.82 + - type: map_at_5 + value: 18.724 + - type: mrr_at_1 + value: 18.025 + - type: mrr_at_10 + value: 22.933 + - type: mrr_at_100 + value: 23.599 + - type: mrr_at_1000 + value: 23.669999999999998 + - type: mrr_at_20 + value: 23.283 + - type: mrr_at_3 + value: 21.295 + - type: mrr_at_5 + value: 22.314 + - type: ndcg_at_1 + value: 18.025 + - type: ndcg_at_10 + value: 22.559 + - type: ndcg_at_100 + value: 26.045 + - type: ndcg_at_1000 + value: 28.785 + - type: ndcg_at_20 + value: 23.727999999999998 + - type: ndcg_at_3 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mteb/cqadupstack-mathematica + name: MTEB CQADupstackMathematicaRetrieval + config: default + split: test + revision: 90fceea13679c63fe563ded68f3b6f06e50061de + metrics: + - type: map_at_1 + value: 7.48 + - type: map_at_10 + value: 12.089 + - type: map_at_100 + value: 12.974 + - type: map_at_1000 + value: 13.099 + - type: map_at_20 + value: 12.537 + - type: map_at_3 + value: 10.402000000000001 + - type: map_at_5 + value: 11.261000000000001 + - type: mrr_at_1 + value: 9.577 + - type: mrr_at_10 + value: 15.043999999999999 + - type: mrr_at_100 + value: 15.909 + - type: mrr_at_1000 + value: 15.998000000000001 + - type: mrr_at_20 + value: 15.512999999999998 + - type: mrr_at_3 + value: 13.184000000000001 + - type: mrr_at_5 + value: 14.066999999999998 + - type: ndcg_at_1 + value: 9.577 + - type: ndcg_at_10 + value: 15.511 + - type: ndcg_at_100 + value: 20.193 + - type: ndcg_at_1000 + value: 23.691000000000003 + - type: ndcg_at_20 + value: 17.176 + - type: ndcg_at_3 + value: 12.134 + - type: ndcg_at_5 + value: 13.506000000000002 + - type: precision_at_1 + value: 9.577 + - type: precision_at_10 + value: 3.159 + - type: precision_at_100 + value: 0.634 + - type: precision_at_1000 + value: 0.106 + - type: precision_at_20 + value: 2.009 + - type: precision_at_3 + value: 6.012 + - type: precision_at_5 + value: 4.627 + - type: recall_at_1 + value: 7.48 + - type: recall_at_10 + value: 23.134 + - type: recall_at_100 + value: 44.254 + - type: recall_at_1000 + value: 70.35 + - type: recall_at_20 + value: 29.383 + - type: recall_at_3 + value: 13.84 + - type: recall_at_5 + value: 17.175 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-physics + name: MTEB CQADupstackPhysicsRetrieval + config: default + split: test + revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 + metrics: + - type: map_at_1 + value: 18.035 + - type: map_at_10 + value: 24.007 + - type: map_at_100 + value: 25.113999999999997 + - type: map_at_1000 + value: 25.245 + - type: map_at_20 + value: 24.587 + - 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value: 37.222 + - type: recall_at_100 + value: 61.602000000000004 + - type: recall_at_1000 + value: 82.92 + - type: recall_at_20 + value: 44.221 + - type: recall_at_3 + value: 26.625 + - type: recall_at_5 + value: 30.461 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-programmers + name: MTEB CQADupstackProgrammersRetrieval + config: default + split: test + revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 + metrics: + - type: map_at_1 + value: 13.281 + - type: map_at_10 + value: 17.756 + - type: map_at_100 + value: 18.785 + - type: map_at_1000 + value: 18.921 + - type: map_at_20 + value: 18.209 + - type: map_at_3 + value: 15.817999999999998 + - type: map_at_5 + value: 16.939 + - type: mrr_at_1 + value: 16.096 + - type: mrr_at_10 + value: 21.079 + - type: mrr_at_100 + value: 22.061 + - type: mrr_at_1000 + value: 22.151 + - type: mrr_at_20 + value: 21.557000000000002 + - type: mrr_at_3 + value: 19.006999999999998 + - type: mrr_at_5 + value: 20.171 + - type: ndcg_at_1 + value: 16.096 + - type: ndcg_at_10 + value: 21.278 + - type: ndcg_at_100 + value: 26.687 + - type: ndcg_at_1000 + value: 30.016 + - type: ndcg_at_20 + value: 22.871 + - type: ndcg_at_3 + value: 17.705000000000002 + - type: ndcg_at_5 + value: 19.427 + - type: precision_at_1 + value: 16.096 + - type: precision_at_10 + value: 3.893 + - type: precision_at_100 + value: 0.792 + - type: precision_at_1000 + value: 0.124 + - type: precision_at_20 + value: 2.414 + - type: precision_at_3 + value: 8.029 + - type: precision_at_5 + value: 6.119 + - type: recall_at_1 + value: 13.281 + - type: recall_at_10 + value: 28.849000000000004 + - type: recall_at_100 + value: 53.010999999999996 + - type: recall_at_1000 + value: 76.512 + - type: recall_at_20 + value: 34.547 + - type: recall_at_3 + value: 19.177 + - type: recall_at_5 + value: 23.455000000000002 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack + name: MTEB CQADupstackRetrieval + config: default + split: test + revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 + metrics: + - type: map_at_1 + value: 14.161583333333333 + - type: map_at_10 + value: 19.378833333333333 + - type: map_at_100 + value: 20.27525 + - type: map_at_1000 + value: 20.394499999999997 + - type: map_at_20 + value: 19.831333333333333 + - type: map_at_3 + value: 17.55408333333333 + - type: map_at_5 + value: 18.52841666666667 + - type: mrr_at_1 + value: 17.00033333333333 + - type: mrr_at_10 + value: 22.41916666666667 + - type: mrr_at_100 + value: 23.252666666666666 + - type: mrr_at_1000 + value: 23.337583333333335 + - type: mrr_at_20 + value: 22.866666666666667 + - type: mrr_at_3 + value: 20.56991666666667 + - type: mrr_at_5 + value: 21.567666666666664 + - type: ndcg_at_1 + value: 17.00033333333333 + - type: ndcg_at_10 + value: 22.96475 + - type: ndcg_at_100 + value: 27.526833333333332 + - type: ndcg_at_1000 + value: 30.597416666666668 + - type: ndcg_at_20 + value: 24.52133333333333 + - type: ndcg_at_3 + value: 19.60108333333334 + - type: ndcg_at_5 + value: 21.089750000000002 + - type: precision_at_1 + value: 17.00033333333333 + - type: precision_at_10 + value: 4.10625 + - type: precision_at_100 + value: 0.7497499999999999 + - type: precision_at_1000 + value: 0.11733333333333335 + - type: precision_at_20 + value: 2.499416666666667 + - type: precision_at_3 + value: 9.041 + - type: precision_at_5 + value: 6.554250000000001 + - type: recall_at_1 + value: 14.161583333333333 + - type: recall_at_10 + value: 30.899916666666666 + - type: recall_at_100 + value: 51.66383333333333 + - type: recall_at_1000 + value: 74.103 + - type: recall_at_20 + value: 36.698 + - type: recall_at_3 + value: 21.398 + - type: recall_at_5 + value: 25.241750000000003 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-stats + name: MTEB CQADupstackStatsRetrieval + config: default + split: test + revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a + metrics: + - type: map_at_1 + value: 13.036 + - type: map_at_10 + value: 17.142 + - type: map_at_100 + value: 17.915 + - type: map_at_1000 + value: 18.002000000000002 + - type: map_at_20 + value: 17.558 + - type: map_at_3 + value: 15.459 + - type: map_at_5 + value: 16.474 + - type: mrr_at_1 + value: 14.877 + - type: mrr_at_10 + value: 19.365 + - type: mrr_at_100 + value: 20.085 + - type: mrr_at_1000 + value: 20.165 + - type: mrr_at_20 + value: 19.75 + - type: mrr_at_3 + value: 17.638 + - type: mrr_at_5 + value: 18.673000000000002 + - type: ndcg_at_1 + value: 14.877 + - type: ndcg_at_10 + value: 20.199 + - type: ndcg_at_100 + value: 24.275 + - type: ndcg_at_1000 + value: 26.933 + - type: ndcg_at_20 + value: 21.683 + - type: ndcg_at_3 + value: 16.925 + - type: ndcg_at_5 + value: 18.565 + - type: precision_at_1 + value: 14.877 + - type: precision_at_10 + value: 3.374 + - type: precision_at_100 + value: 0.59 + - type: precision_at_1000 + value: 0.087 + - type: precision_at_20 + value: 2.04 + - type: precision_at_3 + value: 7.515 + - type: precision_at_5 + value: 5.491 + - type: recall_at_1 + value: 13.036 + - type: recall_at_10 + value: 27.750000000000004 + - type: recall_at_100 + value: 46.798 + - type: recall_at_1000 + value: 67.372 + - type: recall_at_20 + value: 33.406000000000006 + - type: recall_at_3 + value: 18.381 + - type: recall_at_5 + value: 22.559 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-tex + name: MTEB CQADupstackTexRetrieval + config: default + split: test + revision: 46989137a86843e03a6195de44b09deda022eec7 + metrics: + - type: map_at_1 + value: 8.448 + - type: map_at_10 + value: 11.978 + - type: map_at_100 + value: 12.736 + - type: map_at_1000 + value: 12.848 + - type: map_at_20 + value: 12.354 + - type: map_at_3 + value: 10.687000000000001 + - type: map_at_5 + value: 11.344 + - type: mrr_at_1 + value: 10.771 + - type: mrr_at_10 + value: 14.753 + - type: mrr_at_100 + value: 15.501000000000001 + - type: mrr_at_1000 + value: 15.592 + - type: mrr_at_20 + value: 15.148 + - type: mrr_at_3 + value: 13.425999999999998 + - 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config: default + split: test + revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 + metrics: + - type: map_at_1 + value: 14.025000000000002 + - type: map_at_10 + value: 18.605 + - type: map_at_100 + value: 19.442999999999998 + - type: map_at_1000 + value: 19.569 + - type: map_at_20 + value: 19.070999999999998 + - type: map_at_3 + value: 17.072000000000003 + - type: map_at_5 + value: 17.866 + - type: mrr_at_1 + value: 16.511 + - type: mrr_at_10 + value: 21.633 + - type: mrr_at_100 + value: 22.419 + - type: mrr_at_1000 + value: 22.521 + - type: mrr_at_20 + value: 22.063 + - type: mrr_at_3 + value: 19.932 + - type: mrr_at_5 + value: 20.864 + - type: ndcg_at_1 + value: 16.511 + - type: ndcg_at_10 + value: 21.931 + - type: ndcg_at_100 + value: 26.088 + - type: ndcg_at_1000 + value: 29.564 + - type: ndcg_at_20 + value: 23.557 + - type: ndcg_at_3 + value: 18.869 + - type: ndcg_at_5 + value: 20.203 + - type: precision_at_1 + value: 16.511 + - type: precision_at_10 + value: 3.7220000000000004 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mrr_at_1 + value: 18.182000000000002 + - type: mrr_at_10 + value: 23.458000000000002 + - type: mrr_at_100 + value: 24.379 + - type: mrr_at_1000 + value: 24.474999999999998 + - type: mrr_at_20 + value: 23.973 + - type: mrr_at_3 + value: 21.64 + - type: mrr_at_5 + value: 22.579 + - type: ndcg_at_1 + value: 18.182000000000002 + - type: ndcg_at_10 + value: 23.842 + - type: ndcg_at_100 + value: 28.604000000000003 + - type: ndcg_at_1000 + value: 32.192 + - type: ndcg_at_20 + value: 25.507 + - type: ndcg_at_3 + value: 20.937 + - type: ndcg_at_5 + value: 22.125 + - type: precision_at_1 + value: 18.182000000000002 + - type: precision_at_10 + value: 4.526 + - type: precision_at_100 + value: 0.955 + - type: precision_at_1000 + value: 0.17500000000000002 + - type: precision_at_20 + value: 2.846 + - type: precision_at_3 + value: 10.079 + - type: precision_at_5 + value: 7.194000000000001 + - type: recall_at_1 + value: 14.610000000000001 + - type: recall_at_10 + value: 31.086999999999996 + - type: recall_at_100 + value: 53.032000000000004 + - type: recall_at_1000 + value: 77.781 + - type: recall_at_20 + value: 37.801 + - type: recall_at_3 + value: 22.078999999999997 + - type: recall_at_5 + value: 25.572 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-wordpress + name: MTEB CQADupstackWordpressRetrieval + config: default + split: test + revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 + metrics: + - type: map_at_1 + value: 8.484 + - type: map_at_10 + value: 12.614 + - type: map_at_100 + value: 13.439 + - type: map_at_1000 + value: 13.536999999999999 + - type: map_at_20 + value: 13.055 + - type: map_at_3 + value: 11.036 + - type: map_at_5 + value: 11.927999999999999 + - type: mrr_at_1 + value: 9.612 + - type: mrr_at_10 + value: 14.105 + - type: mrr_at_100 + value: 14.953 + - type: mrr_at_1000 + value: 15.043000000000001 + - type: mrr_at_20 + value: 14.578 + - type: mrr_at_3 + value: 12.477 + - type: mrr_at_5 + value: 13.420000000000002 + - type: ndcg_at_1 + value: 9.612 + - type: ndcg_at_10 + value: 15.476999999999999 + - type: ndcg_at_100 + value: 19.822 + - type: ndcg_at_1000 + value: 22.872 + - type: ndcg_at_20 + value: 17.081 + - type: ndcg_at_3 + value: 12.328999999999999 + - type: ndcg_at_5 + value: 13.861 + - type: precision_at_1 + value: 9.612 + - type: precision_at_10 + value: 2.625 + - type: precision_at_100 + value: 0.51 + - type: precision_at_1000 + value: 0.082 + - type: precision_at_20 + value: 1.664 + - type: precision_at_3 + value: 5.484 + - type: precision_at_5 + value: 4.1770000000000005 + - type: recall_at_1 + value: 8.484 + - type: recall_at_10 + value: 23.087 + - type: recall_at_100 + value: 43.352000000000004 + - type: recall_at_1000 + value: 67.247 + - type: recall_at_20 + value: 29.187 + - type: recall_at_3 + value: 14.521999999999998 + - type: recall_at_5 + value: 18.218999999999998 + - task: + type: Classification + dataset: + type: mteb/emotion + name: MTEB EmotionClassification + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 39.095 + - type: f1 + value: 35.03781407521973 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 67.87360000000001 + - type: ap + value: 62.5359530212091 + - type: f1 + value: 67.76861907065303 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (en) + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 89.98176014591884 + - type: f1 + value: 89.12439802681382 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (en) + config: en + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - type: accuracy + value: 66.42954856361149 + - type: 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79.70435715562974 + - type: dot_ap + value: 50.219858779642024 + - type: dot_f1 + value: 52.03935006079363 + - type: dot_precision + value: 44.778390717139054 + - type: dot_recall + value: 62.11081794195251 + - type: euclidean_accuracy + value: 83.3581689217381 + - type: euclidean_ap + value: 63.866502871821886 + - type: euclidean_f1 + value: 60.66180862501495 + - type: euclidean_precision + value: 55.42457978607291 + - type: euclidean_recall + value: 66.99208443271768 + - type: manhattan_accuracy + value: 83.32836621565238 + - type: manhattan_ap + value: 63.58246341419401 + - type: manhattan_f1 + value: 60.405654578979714 + - type: manhattan_precision + value: 56.54775604142692 + - type: manhattan_recall + value: 64.82849604221636 + - type: max_accuracy + value: 83.3581689217381 + - type: max_ap + value: 63.866502871821886 + - type: max_f1 + value: 60.66180862501495 + - task: + type: PairClassification + dataset: + type: mteb/twitterurlcorpus-pairclassification + name: MTEB TwitterURLCorpus + config: default + split: test + revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf + metrics: + - type: cos_sim_accuracy + value: 87.77894205767066 + - type: cos_sim_ap + value: 83.5297230824822 + - type: cos_sim_f1 + value: 75.65036420395423 + - type: cos_sim_precision + value: 73.11781609195403 + - type: cos_sim_recall + value: 78.3646442870342 + - type: dot_accuracy + value: 86.03058175185313 + - type: dot_ap + value: 78.95144253575621 + - type: dot_f1 + value: 72.20582032897512 + - type: dot_precision + value: 66.42524573202276 + - type: dot_recall + value: 79.08838928241454 + - type: euclidean_accuracy + value: 87.7265494624908 + - type: euclidean_ap + value: 83.29997302389856 + - type: euclidean_f1 + value: 75.38237163905613 + - type: euclidean_precision + value: 73.28582854649895 + - type: euclidean_recall + value: 77.60240221743148 + - type: manhattan_accuracy + value: 87.65475220242946 + - type: manhattan_ap + value: 83.1779453049763 + - type: manhattan_f1 + value: 75.17620001483792 + - type: manhattan_precision + value: 72.53400143163923 + - type: manhattan_recall + value: 78.01817061903296 + - type: max_accuracy + value: 87.77894205767066 + - type: max_ap + value: 83.5297230824822 + - type: max_f1 + value: 75.65036420395423 --- # Giratina