diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -11,6 +11,2893 @@ tags: - mteb datasets: - Mihaiii/qa-assistant +model-index: +- name: Venusaur + results: + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 73.17910447761194 + - type: ap + value: 35.29994612283548 + - type: f1 + value: 66.87845205993153 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 79.993525 + - type: ap + value: 74.7042261687233 + - type: f1 + value: 79.9004149386498 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (en) + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 39.656000000000006 + - type: f1 + value: 39.287139345446256 + - task: + type: Retrieval + dataset: + type: mteb/arguana + name: MTEB ArguAna + config: default + split: test + revision: c22ab2a51041ffd869aaddef7af8d8215647e41a + metrics: + - type: map_at_1 + value: 16.643 + - type: map_at_10 + value: 28.276 + - type: map_at_100 + value: 29.543999999999997 + - type: map_at_1000 + value: 29.595 + - type: map_at_20 + value: 29.043000000000003 + - type: map_at_3 + value: 24.739 + - type: map_at_5 + value: 26.592 + - type: mrr_at_1 + value: 17.639 + - type: mrr_at_10 + value: 28.631 + - type: mrr_at_100 + value: 29.891000000000002 + - type: mrr_at_1000 + value: 29.942999999999998 + - type: mrr_at_20 + value: 29.391000000000002 + - type: mrr_at_3 + value: 25.107000000000003 + - type: mrr_at_5 + value: 26.942 + - type: ndcg_at_1 + value: 16.643 + - type: ndcg_at_10 + value: 34.8 + - type: ndcg_at_100 + value: 41.179 + - type: ndcg_at_1000 + value: 42.564 + - type: ndcg_at_20 + value: 37.601 + - type: ndcg_at_3 + value: 27.356 + - type: ndcg_at_5 + value: 30.725 + - type: precision_at_1 + value: 16.643 + - type: precision_at_10 + value: 5.576 + - type: precision_at_100 + value: 0.861 + - type: precision_at_1000 + value: 0.097 + - type: precision_at_20 + value: 3.343 + - type: precision_at_3 + value: 11.641 + - type: precision_at_5 + value: 8.634 + - type: recall_at_1 + value: 16.643 + - type: recall_at_10 + value: 55.761 + - type: recall_at_100 + value: 86.06 + - type: recall_at_1000 + value: 97.013 + - type: recall_at_20 + value: 66.85600000000001 + - type: recall_at_3 + value: 34.922 + - type: recall_at_5 + value: 43.172 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + name: MTEB ArxivClusteringP2P + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 31.76467048453136 + - 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value: 28.383000000000003 + - type: map_at_1000 + value: 28.483000000000004 + - type: map_at_20 + value: 27.901999999999997 + - type: map_at_3 + value: 25.3 + - type: map_at_5 + value: 26.432 + - type: mrr_at_1 + value: 22.947 + - type: mrr_at_10 + value: 30.279 + - type: mrr_at_100 + value: 31.1 + - type: mrr_at_1000 + value: 31.171 + - type: mrr_at_20 + value: 30.714000000000002 + - type: mrr_at_3 + value: 28.37 + - type: mrr_at_5 + value: 29.37 + - type: ndcg_at_1 + value: 22.947 + - type: ndcg_at_10 + value: 31.793 + - type: ndcg_at_100 + value: 36.571999999999996 + - type: ndcg_at_1000 + value: 39.106 + - type: ndcg_at_20 + value: 33.376 + - type: ndcg_at_3 + value: 27.872000000000003 + - type: ndcg_at_5 + value: 29.601 + - type: precision_at_1 + value: 22.947 + - type: precision_at_10 + value: 5.3420000000000005 + - type: precision_at_100 + value: 0.856 + - type: precision_at_1000 + value: 0.116 + - type: precision_at_20 + value: 3.107 + - type: precision_at_3 + value: 12.684999999999999 + - type: precision_at_5 + value: 8.790000000000001 + - type: recall_at_1 + value: 19.827 + - type: recall_at_10 + value: 42.191 + - type: recall_at_100 + value: 64.307 + - type: recall_at_1000 + value: 83.161 + - type: recall_at_20 + value: 48.046 + - type: recall_at_3 + value: 31.352999999999998 + - type: recall_at_5 + value: 35.783 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-gis + name: MTEB CQADupstackGisRetrieval + config: default + split: test + revision: 5003b3064772da1887988e05400cf3806fe491f2 + metrics: + - type: map_at_1 + value: 11.802 + - type: map_at_10 + value: 15.799 + - type: map_at_100 + value: 16.53 + - type: map_at_1000 + value: 16.638 + - type: map_at_20 + value: 16.161 + - type: map_at_3 + value: 14.495 + - type: map_at_5 + value: 15.128 + - type: mrr_at_1 + value: 12.655 + - type: mrr_at_10 + value: 17.03 + - type: mrr_at_100 + value: 17.785999999999998 + - type: mrr_at_1000 + value: 17.88 + - type: mrr_at_20 + value: 17.416 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mteb/cqadupstack-mathematica + name: MTEB CQADupstackMathematicaRetrieval + config: default + split: test + revision: 90fceea13679c63fe563ded68f3b6f06e50061de + metrics: + - type: map_at_1 + value: 6.6739999999999995 + - type: map_at_10 + value: 10.181 + - type: map_at_100 + value: 11.138 + - type: map_at_1000 + value: 11.258 + - type: map_at_20 + value: 10.673 + - type: map_at_3 + value: 8.997 + - type: map_at_5 + value: 9.587 + - type: mrr_at_1 + value: 8.209 + - type: mrr_at_10 + value: 12.356 + - type: mrr_at_100 + value: 13.370000000000001 + - type: mrr_at_1000 + value: 13.466000000000001 + - type: mrr_at_20 + value: 12.889000000000001 + - type: mrr_at_3 + value: 10.821 + - type: mrr_at_5 + value: 11.604000000000001 + - type: ndcg_at_1 + value: 8.209 + - type: ndcg_at_10 + value: 12.849 + - type: ndcg_at_100 + value: 17.916 + - type: ndcg_at_1000 + value: 21.192 + - type: ndcg_at_20 + value: 14.643 + - type: ndcg_at_3 + value: 10.299 + - type: ndcg_at_5 + value: 11.350999999999999 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recall_at_100 + value: 50.806 + - type: recall_at_1000 + value: 70.75399999999999 + - type: recall_at_20 + value: 34.485 + - type: recall_at_3 + value: 19.664 + - type: recall_at_5 + value: 23.566000000000003 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-programmers + name: MTEB CQADupstackProgrammersRetrieval + config: default + split: test + revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 + metrics: + - type: map_at_1 + value: 9.555 + - type: map_at_10 + value: 13.553 + - type: map_at_100 + value: 14.438 + - type: map_at_1000 + value: 14.562 + - type: map_at_20 + value: 13.977999999999998 + - type: map_at_3 + value: 12.118 + - type: map_at_5 + value: 12.811 + - type: mrr_at_1 + value: 11.872 + - type: mrr_at_10 + value: 16.613 + - type: mrr_at_100 + value: 17.512 + - type: mrr_at_1000 + value: 17.607 + - type: mrr_at_20 + value: 17.108 + - type: mrr_at_3 + value: 15.068000000000001 + - type: mrr_at_5 + value: 15.839 + - type: ndcg_at_1 + value: 11.872 + - type: ndcg_at_10 + value: 16.556 + - type: ndcg_at_100 + value: 21.34 + - type: ndcg_at_1000 + value: 24.903 + - type: ndcg_at_20 + value: 18.102 + - type: ndcg_at_3 + value: 13.844000000000001 + - type: ndcg_at_5 + value: 14.893999999999998 + - type: precision_at_1 + value: 11.872 + - type: precision_at_10 + value: 3.082 + - type: precision_at_100 + value: 0.658 + - type: precision_at_1000 + value: 0.11299999999999999 + - type: precision_at_20 + value: 1.992 + - type: precision_at_3 + value: 6.544999999999999 + - type: precision_at_5 + value: 4.68 + - type: recall_at_1 + value: 9.555 + - type: recall_at_10 + value: 22.931 + - type: recall_at_100 + value: 44.535000000000004 + - type: recall_at_1000 + value: 70.77799999999999 + - type: recall_at_20 + value: 28.403 + - type: recall_at_3 + value: 15.201 + - type: recall_at_5 + value: 18.145 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack + name: MTEB CQADupstackRetrieval + config: default + split: test + revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 + metrics: + - type: map_at_1 + value: 11.476083333333333 + - type: map_at_10 + value: 16.002499999999998 + - type: map_at_100 + value: 16.875083333333333 + - type: map_at_1000 + value: 16.991916666666665 + - type: map_at_20 + value: 16.445416666666667 + - type: map_at_3 + value: 14.473666666666668 + - type: map_at_5 + value: 15.269583333333333 + - type: mrr_at_1 + value: 13.799083333333334 + - type: mrr_at_10 + value: 18.69941666666667 + - type: mrr_at_100 + value: 19.54075 + - type: mrr_at_1000 + value: 19.62791666666667 + - type: mrr_at_20 + value: 19.15166666666667 + - type: mrr_at_3 + value: 17.079666666666665 + - type: mrr_at_5 + value: 17.93583333333333 + - type: ndcg_at_1 + value: 13.799083333333334 + - type: ndcg_at_10 + value: 19.157583333333335 + - type: ndcg_at_100 + value: 23.675666666666668 + - type: ndcg_at_1000 + value: 26.761499999999998 + - type: ndcg_at_20 + value: 20.688416666666665 + - type: ndcg_at_3 + value: 16.23775 + - 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10.166 + - type: map_at_10 + value: 13.980999999999998 + - type: map_at_100 + value: 14.728 + - type: map_at_1000 + value: 14.812 + - type: map_at_20 + value: 14.338000000000001 + - type: map_at_3 + value: 12.5 + - type: map_at_5 + value: 13.408000000000001 + - type: mrr_at_1 + value: 11.503 + - type: mrr_at_10 + value: 15.799 + - type: mrr_at_100 + value: 16.539 + - type: mrr_at_1000 + value: 16.614 + - type: mrr_at_20 + value: 16.155 + - type: mrr_at_3 + value: 14.213000000000001 + - type: mrr_at_5 + value: 15.201999999999998 + - type: ndcg_at_1 + value: 11.503 + - type: ndcg_at_10 + value: 16.647000000000002 + - type: ndcg_at_100 + value: 20.84 + - type: ndcg_at_1000 + value: 23.385 + - type: ndcg_at_20 + value: 17.93 + - type: ndcg_at_3 + value: 13.761999999999999 + - type: ndcg_at_5 + value: 15.311 + - type: precision_at_1 + value: 11.503 + - type: precision_at_10 + value: 2.7449999999999997 + - type: precision_at_100 + value: 0.541 + - type: precision_at_1000 + value: 0.082 + - 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11.885 + - type: mrr_at_1000 + value: 11.978 + - type: mrr_at_20 + value: 11.583 + - type: mrr_at_3 + value: 10.145999999999999 + - type: mrr_at_5 + value: 10.688 + - type: ndcg_at_1 + value: 8.121 + - type: ndcg_at_10 + value: 11.245 + - type: ndcg_at_100 + value: 14.524999999999999 + - type: ndcg_at_1000 + value: 17.62 + - type: ndcg_at_20 + value: 12.385 + - type: ndcg_at_3 + value: 9.429 + - type: ndcg_at_5 + value: 10.181999999999999 + - type: precision_at_1 + value: 8.121 + - type: precision_at_10 + value: 2.137 + - type: precision_at_100 + value: 0.451 + - type: precision_at_1000 + value: 0.08499999999999999 + - type: precision_at_20 + value: 1.387 + - type: precision_at_3 + value: 4.4510000000000005 + - type: precision_at_5 + value: 3.2620000000000005 + - type: recall_at_1 + value: 6.516 + - type: recall_at_10 + value: 15.456 + - type: recall_at_100 + value: 30.709999999999997 + - type: recall_at_1000 + value: 53.854 + - type: recall_at_20 + value: 19.756 + - type: recall_at_3 + value: 10.41 + - type: recall_at_5 + value: 12.317 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-unix + name: MTEB CQADupstackUnixRetrieval + config: default + split: test + revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 + metrics: + - type: map_at_1 + value: 10.955 + - type: map_at_10 + value: 14.689 + - type: map_at_100 + value: 15.482000000000001 + - type: map_at_1000 + value: 15.614 + - type: map_at_20 + value: 15.085 + - type: map_at_3 + value: 13.318 + - type: map_at_5 + value: 13.950999999999999 + - type: mrr_at_1 + value: 13.34 + - type: mrr_at_10 + value: 17.514 + - type: mrr_at_100 + value: 18.3 + - type: mrr_at_1000 + value: 18.406 + - type: mrr_at_20 + value: 17.924 + - type: mrr_at_3 + value: 15.920000000000002 + - type: mrr_at_5 + value: 16.625 + - type: ndcg_at_1 + value: 13.34 + - type: ndcg_at_10 + value: 17.574 + - type: ndcg_at_100 + value: 21.909 + - type: ndcg_at_1000 + value: 25.402 + - type: ndcg_at_20 + value: 19.017 + - type: ndcg_at_3 + value: 14.75 + - type: ndcg_at_5 + value: 15.787999999999998 + - type: precision_at_1 + value: 13.34 + - type: precision_at_10 + value: 3.041 + - type: precision_at_100 + value: 0.599 + - type: precision_at_1000 + value: 0.1 + - type: precision_at_20 + value: 1.908 + - type: precision_at_3 + value: 6.529999999999999 + - type: precision_at_5 + value: 4.646 + - type: recall_at_1 + value: 10.955 + - type: recall_at_10 + value: 23.831 + - type: recall_at_100 + value: 43.747 + - type: recall_at_1000 + value: 69.327 + - type: recall_at_20 + value: 29.17 + - type: recall_at_3 + value: 16.165 + - type: recall_at_5 + value: 18.701 + - task: + type: Retrieval + dataset: + type: mteb/cqadupstack-webmasters + name: MTEB CQADupstackWebmastersRetrieval + config: default + split: test + revision: 160c094312a0e1facb97e55eeddb698c0abe3571 + metrics: + - type: map_at_1 + value: 11.936 + - type: map_at_10 + value: 16.878 + - type: map_at_100 + value: 17.921 + - type: map_at_1000 + value: 18.093 + - type: map_at_20 + value: 17.468 + - type: map_at_3 + value: 15.21 + - type: map_at_5 + value: 16.056 + - type: mrr_at_1 + value: 15.02 + - type: mrr_at_10 + value: 20.023 + - type: mrr_at_100 + value: 20.965 + - type: mrr_at_1000 + value: 21.060000000000002 + - type: mrr_at_20 + value: 20.576 + - type: mrr_at_3 + value: 18.215 + - type: mrr_at_5 + value: 19.134 + - type: ndcg_at_1 + value: 15.02 + - type: ndcg_at_10 + value: 20.459 + - type: ndcg_at_100 + value: 25.163999999999998 + - type: ndcg_at_1000 + value: 28.811999999999998 + - type: ndcg_at_20 + value: 22.387 + - type: ndcg_at_3 + value: 17.265 + - type: ndcg_at_5 + value: 18.605 + - type: precision_at_1 + value: 15.02 + - type: precision_at_10 + value: 3.9530000000000003 + - type: precision_at_100 + value: 0.8659999999999999 + - type: precision_at_1000 + value: 0.173 + - type: precision_at_20 + value: 2.619 + - type: precision_at_3 + value: 8.169 + - type: precision_at_5 + value: 6.047000000000001 + - type: recall_at_1 + value: 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value: 11.087 + - type: ndcg_at_1 + value: 7.394 + - type: ndcg_at_10 + value: 13.081999999999999 + - type: ndcg_at_100 + value: 18.22 + - type: ndcg_at_1000 + value: 21.238 + - type: ndcg_at_20 + value: 15.084 + - type: ndcg_at_3 + value: 10.487 + - type: ndcg_at_5 + value: 11.671 + - type: precision_at_1 + value: 7.394 + - type: precision_at_10 + value: 2.292 + - type: precision_at_100 + value: 0.523 + - type: precision_at_1000 + value: 0.083 + - type: precision_at_20 + value: 1.608 + - type: precision_at_3 + value: 4.929 + - type: precision_at_5 + value: 3.5860000000000003 + - type: recall_at_1 + value: 6.691 + - type: recall_at_10 + value: 20.031 + - type: recall_at_100 + value: 44.35 + - type: recall_at_1000 + value: 67.857 + - type: recall_at_20 + value: 27.723 + - type: recall_at_3 + value: 12.76 + - type: recall_at_5 + value: 15.687000000000001 + - task: + type: Retrieval + dataset: + type: mteb/climate-fever + name: MTEB ClimateFEVER + config: default + split: test + revision: 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27a168819829fe9bcd655c2df245fb19452e8e06 + metrics: + - type: map_at_1 + value: 4.891 + - type: map_at_10 + value: 8.346 + - type: map_at_100 + value: 9.286 + - type: map_at_1000 + value: 9.465 + - type: map_at_20 + value: 8.826 + - type: map_at_3 + value: 7.13 + - type: map_at_5 + value: 7.643999999999999 + - type: mrr_at_1 + value: 10.030999999999999 + - type: mrr_at_10 + value: 14.899000000000001 + - type: mrr_at_100 + value: 15.82 + - type: mrr_at_1000 + value: 15.931000000000001 + - type: mrr_at_20 + value: 15.408 + - type: mrr_at_3 + value: 13.169 + - type: mrr_at_5 + value: 13.971 + - type: ndcg_at_1 + value: 10.030999999999999 + - type: ndcg_at_10 + value: 11.713 + - type: ndcg_at_100 + value: 16.436999999999998 + - type: ndcg_at_1000 + value: 20.971999999999998 + - type: ndcg_at_20 + value: 13.341 + - type: ndcg_at_3 + value: 9.879999999999999 + - type: ndcg_at_5 + value: 10.249 + - type: precision_at_1 + value: 10.030999999999999 + - type: precision_at_10 + value: 3.519 + - 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recall_at_3 + value: 32.214999999999996 + - type: recall_at_5 + value: 35.874 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 73.02000000000001 + - type: ap + value: 67.25944041954726 + - type: f1 + value: 72.8697134997555 + - task: + type: Retrieval + dataset: + type: mteb/msmarco + name: MTEB MSMARCO + config: default + split: dev + revision: c5a29a104738b98a9e76336939199e264163d4a0 + metrics: + - type: map_at_1 + value: 8.751000000000001 + - type: map_at_10 + value: 13.916999999999998 + - type: map_at_100 + value: 14.684 + - type: map_at_1000 + value: 14.766000000000002 + - type: map_at_20 + value: 14.338999999999999 + - type: map_at_3 + value: 12.197 + - type: map_at_5 + value: 13.163 + - type: mrr_at_1 + value: 8.911 + - type: mrr_at_10 + value: 14.198 + - type: mrr_at_100 + value: 14.960999999999999 + - type: 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cos_sim_accuracy + value: 84.88406747332658 + - type: cos_sim_ap + value: 69.26105491403395 + - type: cos_sim_f1 + value: 65.52488910793494 + - type: cos_sim_precision + value: 61.465557096625055 + - type: cos_sim_recall + value: 70.15831134564644 + - type: dot_accuracy + value: 82.16606067830959 + - type: dot_ap + value: 61.09102948421686 + - type: dot_f1 + value: 57.59054713588492 + - type: dot_precision + value: 56.106106106106104 + - type: dot_recall + value: 59.155672823219 + - type: euclidean_accuracy + value: 84.85426476724086 + - type: euclidean_ap + value: 69.32917418684202 + - type: euclidean_f1 + value: 65.59770252482949 + - type: euclidean_precision + value: 60.01751696956427 + - type: euclidean_recall + value: 72.32189973614776 + - type: manhattan_accuracy + value: 84.83638314358943 + - type: manhattan_ap + value: 69.13012845791405 + - type: manhattan_f1 + value: 65.35336124107363 + - type: manhattan_precision + value: 61.26500461680517 + - type: manhattan_recall + value: 70.0263852242744 + - type: max_accuracy + value: 84.88406747332658 + - type: max_ap + value: 69.32917418684202 + - type: max_f1 + value: 65.59770252482949 + - task: + type: PairClassification + dataset: + type: mteb/twitterurlcorpus-pairclassification + name: MTEB TwitterURLCorpus + config: default + split: test + revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf + metrics: + - type: cos_sim_accuracy + value: 87.81387045445726 + - type: cos_sim_ap + value: 83.19376576098023 + - type: cos_sim_f1 + value: 75.85641331494391 + - type: cos_sim_precision + value: 73.52409856203484 + - type: cos_sim_recall + value: 78.34154604250077 + - type: dot_accuracy + value: 85.33007334963325 + - type: dot_ap + value: 75.69925817222503 + - type: dot_f1 + value: 70.44983722994968 + - type: dot_precision + value: 67.80119624038736 + - type: dot_recall + value: 73.31382814906067 + - type: euclidean_accuracy + value: 87.78864439011139 + - type: euclidean_ap + value: 83.33289584854239 + - type: euclidean_f1 + value: 75.70217471433837 + - type: euclidean_precision + value: 72.61349172677131 + - type: euclidean_recall + value: 79.06529103788112 + - type: manhattan_accuracy + value: 87.73819226141964 + - type: manhattan_ap + value: 83.29254385989515 + - type: manhattan_f1 + value: 75.70975618644992 + - type: manhattan_precision + value: 71.8773787281157 + - type: manhattan_recall + value: 79.97382198952879 + - type: max_accuracy + value: 87.81387045445726 + - type: max_ap + value: 83.33289584854239 + - type: max_f1 + value: 75.85641331494391 --- # Venusaur