diff --git a/README.md b/README.md index 746db0ca0a4679737c432691b3b549cdf7e27dba..f6abda624a865b26b1114acfa3f9582a7ac135b2 100644 --- a/README.md +++ b/README.md @@ -102,6 +102,21420 @@ language: inference: false library_name: transformers --- +model-index: +- name: no_model_name_available + results: + - dataset: + config: default + name: MTEB AFQMC (default) + revision: b44c3b011063adb25877c13823db83bb193913c4 + split: validation + type: C-MTEB/AFQMC + metrics: + - type: cosine_pearson + value: 41.74237700998808 + - type: cosine_spearman + value: 43.4726782647566 + - type: euclidean_pearson + value: 42.244585459479964 + - type: euclidean_spearman + value: 43.525070045169606 + - type: main_score + value: 43.4726782647566 + - type: manhattan_pearson + value: 42.04616728224863 + - type: manhattan_spearman + value: 43.308828270754645 + - type: pearson + value: 41.74237700998808 + - type: spearman + value: 43.4726782647566 + task: + type: STS + - dataset: + config: default + name: MTEB ATEC (default) + revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865 + split: test + type: C-MTEB/ATEC + metrics: + - 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type: f1_weighted + value: 48.9508482194441 + - type: main_score + value: 49.768 + task: + type: Classification + - dataset: + config: de + name: MTEB AmazonReviewsClassification (de) + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi + metrics: + - type: accuracy + value: 48.071999999999996 + - type: f1 + value: 47.24171107487612 + - type: f1_weighted + value: 47.24171107487612 + - type: main_score + value: 48.071999999999996 + task: + type: Classification + - dataset: + config: es + name: MTEB AmazonReviewsClassification (es) + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi + metrics: + - type: accuracy + value: 48.102000000000004 + - type: f1 + value: 47.27193805278696 + - type: f1_weighted + value: 47.27193805278696 + - type: main_score + value: 48.102000000000004 + task: + type: Classification + - dataset: + config: fr + name: MTEB AmazonReviewsClassification (fr) + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi + metrics: + - 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type: precision_at_20 + value: 5.223 + - type: precision_at_3 + value: 23.177 + - type: precision_at_5 + value: 15.9 + - type: recall_at_1 + value: 39.745000000000005 + - type: recall_at_10 + value: 72.08099999999999 + - type: recall_at_100 + value: 88.85300000000001 + - type: recall_at_1000 + value: 96.569 + - type: recall_at_20 + value: 78.203 + - type: recall_at_3 + value: 56.957 + - type: recall_at_5 + value: 63.63100000000001 + - type: main_score + value: 58.019 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackGisRetrieval (default) + revision: 5003b3064772da1887988e05400cf3806fe491f2 + split: test + type: mteb/cqadupstack-gis + metrics: + - type: map_at_1 + value: 26.651999999999997 + - type: map_at_10 + value: 35.799 + - type: map_at_100 + value: 36.846000000000004 + - type: map_at_1000 + value: 36.931000000000004 + - type: map_at_20 + value: 36.341 + - type: map_at_3 + value: 32.999 + - type: map_at_5 + value: 34.597 + - type: mrr_at_1 + value: 28.814 + - type: mrr_at_10 + value: 37.869 + - type: mrr_at_100 + value: 38.728 + - type: mrr_at_1000 + value: 38.795 + - type: mrr_at_20 + value: 38.317 + - type: mrr_at_3 + value: 35.235 + - type: mrr_at_5 + value: 36.738 + - type: ndcg_at_1 + value: 28.814 + - type: ndcg_at_10 + value: 41.028 + - type: ndcg_at_100 + value: 46.162 + - type: ndcg_at_1000 + value: 48.15 + - type: ndcg_at_20 + value: 42.824 + - type: ndcg_at_3 + value: 35.621 + - type: ndcg_at_5 + value: 38.277 + - type: precision_at_1 + value: 28.814 + - type: precision_at_10 + value: 6.361999999999999 + - type: precision_at_100 + value: 0.9450000000000001 + - type: precision_at_1000 + value: 0.11399999999999999 + - type: precision_at_20 + value: 3.6159999999999997 + - type: precision_at_3 + value: 15.140999999999998 + - type: precision_at_5 + value: 10.712000000000002 + - type: recall_at_1 + value: 26.651999999999997 + - type: recall_at_10 + value: 55.038 + - type: recall_at_100 + value: 78.806 + - type: recall_at_1000 + value: 93.485 + - type: recall_at_20 + value: 61.742 + - type: recall_at_3 + value: 40.682 + - type: recall_at_5 + value: 46.855000000000004 + - type: main_score + value: 41.028 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackMathematicaRetrieval (default) + revision: 90fceea13679c63fe563ded68f3b6f06e50061de + split: test + type: mteb/cqadupstack-mathematica + metrics: + - type: map_at_1 + value: 17.627000000000002 + - type: map_at_10 + value: 26.436999999999998 + - type: map_at_100 + value: 27.85 + - type: map_at_1000 + value: 27.955999999999996 + - type: map_at_20 + value: 27.233 + - type: map_at_3 + value: 23.777 + - type: map_at_5 + value: 25.122 + - type: mrr_at_1 + value: 22.387999999999998 + - type: mrr_at_10 + value: 31.589 + - type: mrr_at_100 + value: 32.641999999999996 + - type: mrr_at_1000 + value: 32.696999999999996 + - type: mrr_at_20 + value: 32.201 + - type: mrr_at_3 + value: 28.98 + - type: mrr_at_5 + value: 30.342000000000002 + - type: ndcg_at_1 + value: 22.387999999999998 + - type: ndcg_at_10 + value: 32.129999999999995 + - type: ndcg_at_100 + value: 38.562999999999995 + - type: ndcg_at_1000 + value: 40.903 + - type: ndcg_at_20 + value: 34.652 + - type: ndcg_at_3 + value: 27.26 + - type: ndcg_at_5 + value: 29.235 + - type: precision_at_1 + value: 22.387999999999998 + - type: precision_at_10 + value: 5.970000000000001 + - type: precision_at_100 + value: 1.068 + - type: precision_at_1000 + value: 0.13899999999999998 + - type: precision_at_20 + value: 3.6999999999999997 + - type: precision_at_3 + value: 13.267000000000001 + - type: precision_at_5 + value: 9.403 + - type: recall_at_1 + value: 17.627000000000002 + - type: recall_at_10 + value: 44.71 + - type: recall_at_100 + value: 72.426 + - type: recall_at_1000 + value: 88.64699999999999 + - type: recall_at_20 + value: 53.65 + - type: recall_at_3 + value: 30.989 + - type: recall_at_5 + value: 36.237 + - type: main_score + value: 32.129999999999995 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackPhysicsRetrieval (default) + revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 + split: test + type: mteb/cqadupstack-physics + metrics: + - type: map_at_1 + value: 30.891000000000002 + - type: map_at_10 + value: 41.519 + - type: map_at_100 + value: 42.896 + - type: map_at_1000 + value: 42.992999999999995 + - type: map_at_20 + value: 42.287 + - type: map_at_3 + value: 37.822 + - type: map_at_5 + value: 39.976 + - type: mrr_at_1 + value: 37.921 + - type: mrr_at_10 + value: 47.260999999999996 + - type: mrr_at_100 + value: 48.044 + - type: mrr_at_1000 + value: 48.08 + - type: mrr_at_20 + value: 47.699999999999996 + - type: mrr_at_3 + value: 44.513999999999996 + - type: mrr_at_5 + value: 46.064 + - type: ndcg_at_1 + value: 37.921 + - type: ndcg_at_10 + value: 47.806 + - type: ndcg_at_100 + value: 53.274 + - type: ndcg_at_1000 + value: 55.021 + - type: ndcg_at_20 + value: 49.973 + - type: ndcg_at_3 + value: 42.046 + - type: ndcg_at_5 + value: 44.835 + - type: precision_at_1 + value: 37.921 + - type: precision_at_10 + value: 8.767999999999999 + - type: precision_at_100 + value: 1.353 + - type: precision_at_1000 + value: 0.168 + - type: precision_at_20 + value: 5.135 + - type: precision_at_3 + value: 20.051 + - type: precision_at_5 + value: 14.398 + - type: recall_at_1 + value: 30.891000000000002 + - type: recall_at_10 + value: 60.897999999999996 + - type: recall_at_100 + value: 83.541 + - type: recall_at_1000 + value: 94.825 + - type: recall_at_20 + value: 68.356 + - type: recall_at_3 + value: 44.65 + - type: recall_at_5 + value: 51.919000000000004 + - type: main_score + value: 47.806 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackProgrammersRetrieval (default) + revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 + split: test + type: mteb/cqadupstack-programmers + metrics: + - type: map_at_1 + value: 27.654 + - type: map_at_10 + value: 38.025999999999996 + - type: map_at_100 + value: 39.425 + - type: map_at_1000 + value: 39.528 + - type: map_at_20 + value: 38.838 + - type: map_at_3 + value: 34.745 + - type: map_at_5 + value: 36.537 + - type: mrr_at_1 + value: 34.018 + - type: mrr_at_10 + value: 43.314 + - type: mrr_at_100 + value: 44.283 + - type: mrr_at_1000 + value: 44.327 + - type: mrr_at_20 + value: 43.929 + - type: mrr_at_3 + value: 40.868 + - type: mrr_at_5 + value: 42.317 + - type: ndcg_at_1 + value: 34.018 + - type: ndcg_at_10 + value: 43.887 + - type: ndcg_at_100 + value: 49.791000000000004 + - type: ndcg_at_1000 + value: 51.834 + - type: ndcg_at_20 + value: 46.376 + - type: ndcg_at_3 + value: 38.769999999999996 + - type: ndcg_at_5 + value: 41.144 + - type: precision_at_1 + value: 34.018 + - type: precision_at_10 + value: 8.001999999999999 + - type: precision_at_100 + value: 1.2630000000000001 + - type: precision_at_1000 + value: 0.16 + - type: precision_at_20 + value: 4.737 + - type: precision_at_3 + value: 18.417 + - type: precision_at_5 + value: 13.150999999999998 + - type: recall_at_1 + value: 27.654 + - type: recall_at_10 + value: 56.111 + - type: recall_at_100 + value: 81.136 + - type: recall_at_1000 + value: 94.788 + - type: recall_at_20 + value: 65.068 + - type: recall_at_3 + value: 41.713 + - type: recall_at_5 + value: 48.106 + - type: main_score + value: 43.887 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackRetrieval (default) + revision: CQADupstackRetrieval_is_a_combined_dataset + split: test + type: CQADupstackRetrieval_is_a_combined_dataset + metrics: + - type: main_score + value: 42.58858333333333 + - type: ndcg_at_10 + value: 42.58858333333333 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackStatsRetrieval (default) + revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a + split: test + type: mteb/cqadupstack-stats + metrics: + - type: map_at_1 + value: 24.501 + - type: map_at_10 + value: 32.814 + - type: map_at_100 + value: 33.754 + - type: map_at_1000 + value: 33.859 + - type: map_at_20 + value: 33.324 + - type: map_at_3 + value: 30.758000000000003 + - type: map_at_5 + value: 31.936999999999998 + - type: mrr_at_1 + value: 27.761000000000003 + - type: mrr_at_10 + value: 35.662 + - type: mrr_at_100 + value: 36.443999999999996 + - type: mrr_at_1000 + value: 36.516999999999996 + - type: mrr_at_20 + value: 36.085 + - type: mrr_at_3 + value: 33.742 + - type: mrr_at_5 + value: 34.931 + - type: ndcg_at_1 + value: 27.761000000000003 + - type: ndcg_at_10 + value: 37.208000000000006 + - type: ndcg_at_100 + value: 41.839 + - type: ndcg_at_1000 + value: 44.421 + - type: ndcg_at_20 + value: 38.917 + - type: ndcg_at_3 + value: 33.544000000000004 + - type: ndcg_at_5 + value: 35.374 + - type: precision_at_1 + value: 27.761000000000003 + - type: precision_at_10 + value: 5.92 + - type: precision_at_100 + value: 0.899 + - type: precision_at_1000 + value: 0.12 + - type: precision_at_20 + value: 3.4130000000000003 + - type: precision_at_3 + value: 15.031 + - type: precision_at_5 + value: 10.306999999999999 + - type: recall_at_1 + value: 24.501 + - type: recall_at_10 + value: 47.579 + - type: recall_at_100 + value: 69.045 + - type: recall_at_1000 + value: 88.032 + - type: recall_at_20 + value: 54.125 + - type: recall_at_3 + value: 37.202 + - type: recall_at_5 + value: 41.927 + - type: main_score + value: 37.208000000000006 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackTexRetrieval (default) + revision: 46989137a86843e03a6195de44b09deda022eec7 + split: test + type: mteb/cqadupstack-tex + metrics: + - type: map_at_1 + value: 18.29 + - type: map_at_10 + value: 26.183 + - type: map_at_100 + value: 27.351999999999997 + - type: map_at_1000 + value: 27.483999999999998 + - type: map_at_20 + value: 26.798 + - type: map_at_3 + value: 23.629 + - type: map_at_5 + value: 24.937 + - type: mrr_at_1 + value: 22.299 + - type: mrr_at_10 + value: 30.189 + - type: mrr_at_100 + value: 31.098 + - type: mrr_at_1000 + value: 31.177 + - type: mrr_at_20 + value: 30.697000000000003 + - type: mrr_at_3 + value: 27.862 + - type: mrr_at_5 + value: 29.066 + - type: ndcg_at_1 + value: 22.299 + - type: ndcg_at_10 + value: 31.202 + - type: ndcg_at_100 + value: 36.617 + - type: ndcg_at_1000 + value: 39.544000000000004 + - type: ndcg_at_20 + value: 33.177 + - type: ndcg_at_3 + value: 26.639000000000003 + - type: ndcg_at_5 + value: 28.526 + - type: precision_at_1 + value: 22.299 + - type: precision_at_10 + value: 5.8020000000000005 + - type: precision_at_100 + value: 1.0070000000000001 + - type: precision_at_1000 + value: 0.14400000000000002 + - type: precision_at_20 + value: 3.505 + - type: precision_at_3 + value: 12.698 + - type: precision_at_5 + value: 9.174 + - type: recall_at_1 + value: 18.29 + - type: recall_at_10 + value: 42.254999999999995 + - type: recall_at_100 + value: 66.60000000000001 + - type: recall_at_1000 + value: 87.31400000000001 + - type: recall_at_20 + value: 49.572 + - type: recall_at_3 + value: 29.342000000000002 + - type: recall_at_5 + value: 34.221000000000004 + - type: main_score + value: 31.202 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackUnixRetrieval (default) + revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 + split: test + type: mteb/cqadupstack-unix + metrics: + - type: map_at_1 + value: 27.722 + - type: map_at_10 + value: 37.698 + - type: map_at_100 + value: 38.899 + - type: map_at_1000 + value: 38.998 + - type: map_at_20 + value: 38.381 + - type: map_at_3 + value: 34.244 + - type: map_at_5 + value: 36.295 + - type: mrr_at_1 + value: 32.183 + - type: mrr_at_10 + value: 41.429 + - type: mrr_at_100 + value: 42.308 + - type: mrr_at_1000 + value: 42.358000000000004 + - type: mrr_at_20 + value: 41.957 + - type: mrr_at_3 + value: 38.401999999999994 + - type: mrr_at_5 + value: 40.294999999999995 + - type: ndcg_at_1 + value: 32.183 + - type: ndcg_at_10 + value: 43.519000000000005 + - type: ndcg_at_100 + value: 48.786 + - type: ndcg_at_1000 + value: 50.861999999999995 + - type: ndcg_at_20 + value: 45.654 + - type: ndcg_at_3 + value: 37.521 + - type: ndcg_at_5 + value: 40.615 + - type: precision_at_1 + value: 32.183 + - type: precision_at_10 + value: 7.603 + - type: precision_at_100 + value: 1.135 + - type: precision_at_1000 + value: 0.14200000000000002 + - type: precision_at_20 + value: 4.408 + - type: precision_at_3 + value: 17.071 + - type: precision_at_5 + value: 12.668 + - type: recall_at_1 + value: 27.722 + - type: recall_at_10 + value: 57.230000000000004 + - type: recall_at_100 + value: 79.97999999999999 + - type: recall_at_1000 + value: 94.217 + - type: recall_at_20 + value: 64.864 + - type: recall_at_3 + value: 41.215 + - type: recall_at_5 + value: 48.774 + - type: main_score + value: 43.519000000000005 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackWebmastersRetrieval (default) + revision: 160c094312a0e1facb97e55eeddb698c0abe3571 + split: test + type: mteb/cqadupstack-webmasters + metrics: + - type: map_at_1 + value: 25.852999999999998 + - type: map_at_10 + value: 35.394999999999996 + - type: map_at_100 + value: 37.291999999999994 + - type: map_at_1000 + value: 37.495 + - type: map_at_20 + value: 36.372 + - type: map_at_3 + value: 32.336 + - type: map_at_5 + value: 34.159 + - type: mrr_at_1 + value: 31.818 + - type: mrr_at_10 + value: 40.677 + - type: mrr_at_100 + value: 41.728 + - type: mrr_at_1000 + value: 41.778 + - type: mrr_at_20 + value: 41.301 + - type: mrr_at_3 + value: 38.208 + - type: mrr_at_5 + value: 39.592 + - type: ndcg_at_1 + value: 31.818 + - type: ndcg_at_10 + value: 41.559000000000005 + - type: ndcg_at_100 + value: 48.012 + - type: ndcg_at_1000 + value: 50.234 + - type: ndcg_at_20 + value: 44.15 + - type: ndcg_at_3 + value: 36.918 + - type: ndcg_at_5 + value: 39.227000000000004 + - type: precision_at_1 + value: 31.818 + - type: precision_at_10 + value: 8.043 + - type: precision_at_100 + value: 1.625 + - type: precision_at_1000 + value: 0.245 + - type: precision_at_20 + value: 5.2170000000000005 + - type: precision_at_3 + value: 17.655 + - type: precision_at_5 + value: 12.845999999999998 + - type: recall_at_1 + value: 25.852999999999998 + - type: recall_at_10 + value: 53.093 + - type: recall_at_100 + value: 81.05799999999999 + - type: recall_at_1000 + value: 94.657 + - type: recall_at_20 + value: 62.748000000000005 + - type: recall_at_3 + value: 39.300000000000004 + - type: recall_at_5 + value: 45.754 + - type: main_score + value: 41.559000000000005 + task: + type: Retrieval + - dataset: + config: default + name: MTEB CQADupstackWordpressRetrieval (default) + revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 + split: test + type: mteb/cqadupstack-wordpress + metrics: + - type: map_at_1 + value: 19.23 + - type: map_at_10 + value: 28.128999999999998 + - type: map_at_100 + value: 29.195 + - type: map_at_1000 + value: 29.310000000000002 + - type: map_at_20 + value: 28.713 + - type: map_at_3 + value: 25.191000000000003 + - type: map_at_5 + value: 26.69 + - type: mrr_at_1 + value: 21.257 + - type: mrr_at_10 + value: 30.253999999999998 + - type: mrr_at_100 + value: 31.195 + - type: mrr_at_1000 + value: 31.270999999999997 + - type: mrr_at_20 + value: 30.747999999999998 + - type: mrr_at_3 + value: 27.633999999999997 + - type: mrr_at_5 + value: 28.937 + - type: ndcg_at_1 + value: 21.257 + - type: ndcg_at_10 + value: 33.511 + - type: ndcg_at_100 + value: 38.733000000000004 + - type: ndcg_at_1000 + value: 41.489 + - type: ndcg_at_20 + value: 35.476 + - type: ndcg_at_3 + value: 27.845 + - type: ndcg_at_5 + value: 30.264999999999997 + - type: precision_at_1 + value: 21.257 + - type: precision_at_10 + value: 5.619 + - type: precision_at_100 + value: 0.893 + - type: precision_at_1000 + value: 0.124 + - type: precision_at_20 + value: 3.29 + - type: precision_at_3 + value: 12.508 + - type: precision_at_5 + value: 8.946 + - type: recall_at_1 + value: 19.23 + - type: recall_at_10 + value: 48.185 + - type: recall_at_100 + value: 71.932 + - type: recall_at_1000 + value: 92.587 + - type: recall_at_20 + value: 55.533 + - type: recall_at_3 + value: 32.865 + - type: recall_at_5 + value: 38.577 + - type: main_score + value: 33.511 + task: + type: Retrieval + - dataset: + config: default + name: MTEB ClimateFEVER (default) + revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 + split: test + type: mteb/climate-fever + metrics: + - 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type: similarity_precision + value: 80.64243448858834 + - type: similarity_recall + value: 94.73684210526315 + task: + type: PairClassification + - dataset: + config: ru + name: MTEB OpusparcusPC (ru) + revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a + split: test.full + type: GEM/opusparcus + metrics: + - type: cosine_accuracy + value: 76.83823529411765 + - type: cosine_accuracy_threshold + value: 72.70769476890564 + - type: cosine_ap + value: 89.56692049908222 + - type: cosine_f1 + value: 83.99832003359934 + - type: cosine_f1_threshold + value: 70.9052324295044 + - type: cosine_precision + value: 76.16146230007617 + - type: cosine_recall + value: 93.63295880149812 + - type: dot_accuracy + value: 76.28676470588235 + - type: dot_accuracy_threshold + value: 33740.68908691406 + - type: dot_ap + value: 87.77185177141567 + - type: dot_f1 + value: 83.62251375370292 + - type: dot_f1_threshold + value: 32726.611328125 + - type: dot_precision + value: 76.29343629343629 + - type: dot_recall + value: 92.50936329588015 + - 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type: precision_at_20 + value: 6.915 + - type: precision_at_3 + value: 17.8 + - type: precision_at_5 + value: 14.14 + - type: recall_at_1 + value: 4.843 + - type: recall_at_10 + value: 20.595 + - type: recall_at_100 + value: 44.66 + - type: recall_at_1000 + value: 69.152 + - type: recall_at_20 + value: 28.04 + - type: recall_at_3 + value: 10.833 + - type: recall_at_5 + value: 14.346999999999998 + - type: main_score + value: 19.811 + task: + type: Retrieval + - dataset: + config: default + name: MTEB SICK-E-PL (default) + revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9 + split: test + type: PL-MTEB/sicke-pl-pairclassification + metrics: + - type: cosine_accuracy + value: 80.90093762739502 + - type: cosine_accuracy_threshold + value: 94.40930485725403 + - type: cosine_ap + value: 71.15400909912427 + - type: cosine_f1 + value: 66.8213457076566 + - type: cosine_f1_threshold + value: 91.53673648834229 + - type: cosine_precision + value: 62.4922504649721 + - type: cosine_recall + value: 71.7948717948718 + - type: dot_accuracy + value: 78.41418671015083 + - type: dot_accuracy_threshold + value: 42924.45068359375 + - type: dot_ap + value: 63.34003025365763 + - type: dot_f1 + value: 62.518258837277244 + - type: dot_f1_threshold + value: 40900.738525390625 + - type: dot_precision + value: 52.99653293709758 + - type: dot_recall + value: 76.21082621082621 + - type: euclidean_accuracy + value: 80.67672238075826 + - type: euclidean_accuracy_threshold + value: 696.0524559020996 + - type: euclidean_ap + value: 70.88762835990224 + - type: euclidean_f1 + value: 66.711051930759 + - type: euclidean_f1_threshold + value: 878.5581588745117 + - type: euclidean_precision + value: 62.625 + - type: euclidean_recall + value: 71.36752136752136 + - type: main_score + value: 71.15400909912427 + - type: manhattan_accuracy + value: 80.65633917651854 + - type: manhattan_accuracy_threshold + value: 17277.72674560547 + - type: manhattan_ap + value: 70.67105336611716 + - type: manhattan_f1 + value: 66.51346027577151 + - type: manhattan_f1_threshold + value: 21687.957763671875 + - type: manhattan_precision + value: 61.69305724725944 + - type: manhattan_recall + value: 72.15099715099716 + - type: max_accuracy + value: 80.90093762739502 + - type: max_ap + value: 71.15400909912427 + - type: max_f1 + value: 66.8213457076566 + - type: max_precision + value: 62.625 + - type: max_recall + value: 76.21082621082621 + - type: similarity_accuracy + value: 80.90093762739502 + - type: similarity_accuracy_threshold + value: 94.40930485725403 + - type: similarity_ap + value: 71.15400909912427 + - type: similarity_f1 + value: 66.8213457076566 + - type: similarity_f1_threshold + value: 91.53673648834229 + - type: similarity_precision + value: 62.4922504649721 + - type: similarity_recall + value: 71.7948717948718 + task: + type: PairClassification + - dataset: + config: default + name: MTEB SICK-R (default) + revision: 20a6d6f312dd54037fe07a32d58e5e168867909d + split: test + type: mteb/sickr-sts + metrics: + - type: cosine_pearson + value: 92.3339946866199 + - type: cosine_spearman + value: 89.61697355115497 + - type: euclidean_pearson + value: 90.3264916449669 + - type: euclidean_spearman + value: 89.36270451308866 + - type: main_score + value: 89.61697355115497 + - type: manhattan_pearson + value: 90.18909339052534 + - type: manhattan_spearman + value: 89.28337093097377 + - type: pearson + value: 92.3339946866199 + - type: spearman + value: 89.61697355115497 + task: + type: STS + - dataset: + config: default + name: MTEB SICK-R-PL (default) + revision: fd5c2441b7eeff8676768036142af4cfa42c1339 + split: test + type: PL-MTEB/sickr-pl-sts + metrics: + - type: cosine_pearson + value: 85.27883048457821 + - type: cosine_spearman + value: 80.53204892678619 + - type: euclidean_pearson + value: 82.78520705216168 + - type: euclidean_spearman + value: 80.27848359873212 + - type: main_score + value: 80.53204892678619 + - type: manhattan_pearson + value: 82.63270640583454 + - type: manhattan_spearman + value: 80.21507977473146 + - type: pearson + value: 85.27883048457821 + - type: spearman + value: 80.53204892678619 + task: + type: STS + - dataset: + config: default + name: MTEB SICKFr (default) + revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a + split: test + type: Lajavaness/SICK-fr + metrics: + - type: cosine_pearson + value: 88.77029361817212 + - type: cosine_spearman + value: 83.9453600346894 + - type: euclidean_pearson + value: 85.85331086208573 + - type: euclidean_spearman + value: 83.70852031985308 + - type: main_score + value: 83.9453600346894 + - type: manhattan_pearson + value: 85.66222265885914 + - type: manhattan_spearman + value: 83.60833111525962 + - type: pearson + value: 88.77029361817212 + - type: spearman + value: 83.9453600346894 + task: + type: STS + - dataset: + config: default + name: MTEB STS12 (default) + revision: a0d554a64d88156834ff5ae9920b964011b16384 + split: test + type: mteb/sts12-sts + metrics: + - type: cosine_pearson + value: 88.76435859522375 + - type: cosine_spearman + value: 82.43768167804375 + - type: euclidean_pearson + value: 87.43566183874832 + - type: euclidean_spearman + value: 82.82166873757507 + - type: main_score + value: 82.43768167804375 + - type: manhattan_pearson + value: 87.39450871380951 + - type: manhattan_spearman + value: 82.89253043430163 + - type: pearson + value: 88.76435859522375 + - type: spearman + value: 82.43768167804375 + task: + type: STS + - dataset: + config: default + name: MTEB STS13 (default) + revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + split: test + type: mteb/sts13-sts + metrics: + - type: cosine_pearson + value: 88.86627241652141 + - type: cosine_spearman + value: 89.49011599120688 + - type: euclidean_pearson + value: 89.3314120073772 + - type: euclidean_spearman + value: 89.8226502776963 + - type: main_score + value: 89.49011599120688 + - type: manhattan_pearson + value: 89.2252179076963 + - type: manhattan_spearman + value: 89.74573844021225 + - type: pearson + value: 88.86627241652141 + - type: spearman + value: 89.49011599120688 + task: + type: STS + - dataset: + config: default + name: MTEB STS14 (default) + revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + split: test + type: mteb/sts14-sts + metrics: + - type: cosine_pearson + value: 87.22891405215968 + - type: cosine_spearman + value: 84.9467188157614 + - type: euclidean_pearson + value: 87.20330004726237 + - type: euclidean_spearman + value: 85.34806059461808 + - type: main_score + value: 84.9467188157614 + - type: manhattan_pearson + value: 87.15224666107623 + - type: manhattan_spearman + value: 85.34596898699708 + - type: pearson + value: 87.22891405215968 + - type: spearman + value: 84.9467188157614 + task: + type: STS + - dataset: + config: default + name: MTEB STS15 (default) + revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 + split: test + type: mteb/sts15-sts + metrics: + - type: cosine_pearson + value: 88.14066430111033 + - type: cosine_spearman + value: 89.31337445552545 + - type: euclidean_pearson + value: 89.08039335366983 + - type: euclidean_spearman + value: 89.6658762856415 + - type: main_score + value: 89.31337445552545 + - type: manhattan_pearson + value: 89.08057438154486 + - type: manhattan_spearman + value: 89.68673984203022 + - type: pearson + value: 88.14066430111033 + - type: spearman + value: 89.31337445552545 + task: + type: STS + - dataset: + config: default + name: MTEB STS16 (default) + revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 + split: test + type: mteb/sts16-sts + metrics: + - type: cosine_pearson + value: 85.14908856657084 + - type: cosine_spearman + value: 86.84648320786727 + - type: euclidean_pearson + value: 86.11454713131947 + - type: euclidean_spearman + value: 86.77738862047961 + - type: main_score + value: 86.84648320786727 + - type: manhattan_pearson + value: 86.07804821916372 + - type: manhattan_spearman + value: 86.78676064310474 + - type: pearson + value: 85.14908856657084 + - type: spearman + value: 86.84648320786727 + task: + type: STS + - dataset: + config: en-en + name: MTEB STS17 (en-en) + revision: faeb762787bd10488a50c8b5be4a3b82e411949c + split: test + type: mteb/sts17-crosslingual-sts + metrics: + - type: cosine_pearson + value: 89.61633502468356 + - type: cosine_spearman + value: 89.99772663224805 + - type: euclidean_pearson + value: 90.14056501501044 + - type: euclidean_spearman + value: 90.04496896837503 + - type: main_score + value: 89.99772663224805 + - type: manhattan_pearson + value: 90.08964860311801 + - type: manhattan_spearman + value: 90.00091712362196 + - type: pearson + value: 89.61633502468356 + - type: spearman + value: 89.99772663224805 + task: + type: STS + - dataset: + config: es-en + name: MTEB STS17 (es-en) + revision: faeb762787bd10488a50c8b5be4a3b82e411949c + split: test + type: mteb/sts17-crosslingual-sts + metrics: + - type: cosine_pearson + value: 86.44548026840202 + - type: cosine_spearman + value: 87.26263108768539 + - type: euclidean_pearson + value: 86.42844593583838 + - type: euclidean_spearman + value: 86.89388428664364 + - type: main_score + value: 87.26263108768539 + - type: manhattan_pearson + value: 86.47186940800881 + - type: manhattan_spearman + value: 87.02163091089946 + - type: pearson + value: 86.44548026840202 + - type: spearman + value: 87.26263108768539 + task: + type: STS + - dataset: + config: en-de + name: MTEB STS17 (en-de) + revision: faeb762787bd10488a50c8b5be4a3b82e411949c + split: test + type: mteb/sts17-crosslingual-sts + metrics: + - type: cosine_pearson + value: 87.89345132532758 + - type: cosine_spearman + value: 87.96246221327699 + - type: euclidean_pearson + value: 88.49013032701419 + - type: euclidean_spearman + value: 87.81981265317344 + - type: main_score + value: 87.96246221327699 + - type: manhattan_pearson + value: 88.31360914178538 + - type: manhattan_spearman + value: 87.62734530005075 + - type: pearson + value: 87.89345132532758 + - type: spearman + value: 87.96246221327699 + task: + type: STS + - dataset: + config: es-es + name: MTEB STS17 (es-es) + revision: faeb762787bd10488a50c8b5be4a3b82e411949c + split: test + type: mteb/sts17-crosslingual-sts + metrics: + - type: cosine_pearson + value: 88.4084678497171 + - type: cosine_spearman + value: 88.77640638748285 + - type: euclidean_pearson + value: 89.60124312475843 + - type: euclidean_spearman + value: 88.4321442688528 + - type: main_score + value: 88.77640638748285 + - type: manhattan_pearson + value: 89.62375118021299 + - type: manhattan_spearman + value: 88.46998118661577 + - type: pearson + value: 88.4084678497171 + - type: spearman + value: 88.77640638748285 + task: + type: STS + - dataset: + config: fr-en + name: MTEB STS17 (fr-en) + revision: faeb762787bd10488a50c8b5be4a3b82e411949c + split: test + type: mteb/sts17-crosslingual-sts + metrics: + - type: cosine_pearson + value: 87.30688801326498 + - type: cosine_spearman + value: 87.55684697258378 + - type: euclidean_pearson + value: 87.89672951056794 + - type: euclidean_spearman + value: 87.28050429201674 + - type: main_score + value: 87.55684697258378 + - type: manhattan_pearson + value: 87.74292745320572 + - type: manhattan_spearman + value: 87.16383993876582 + - type: pearson + value: 87.30688801326498 + - type: spearman + value: 87.55684697258378 + task: + type: STS + - dataset: + config: zh-en + name: MTEB STS22 (zh-en) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - 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type: pearson + value: 62.47531620842637 + - type: spearman + value: 66.22504667157702 + task: + type: STS + - dataset: + config: es + name: MTEB STS22 (es) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 69.89707002436481 + - type: cosine_spearman + value: 72.2054865735116 + - type: euclidean_pearson + value: 71.81856615570756 + - type: euclidean_spearman + value: 72.72593304629407 + - type: main_score + value: 72.2054865735116 + - type: manhattan_pearson + value: 72.00362684700072 + - type: manhattan_spearman + value: 72.62783534769964 + - type: pearson + value: 69.89707002436481 + - type: spearman + value: 72.2054865735116 + task: + type: STS + - dataset: + config: fr + name: MTEB STS22 (fr) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 81.59623734395916 + - type: cosine_spearman + value: 83.28946105111358 + - type: euclidean_pearson + value: 79.377330171466 + - type: euclidean_spearman + value: 81.81029781662205 + - type: main_score + value: 83.28946105111358 + - type: manhattan_pearson + value: 78.96970881689698 + - type: manhattan_spearman + value: 81.91773236079703 + - type: pearson + value: 81.59623734395916 + - type: spearman + value: 83.28946105111358 + task: + type: STS + - dataset: + config: de-fr + name: MTEB STS22 (de-fr) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 55.03825643126142 + - type: cosine_spearman + value: 58.25792501780429 + - type: euclidean_pearson + value: 50.38007603973409 + - type: euclidean_spearman + value: 59.39961789383097 + - type: main_score + value: 58.25792501780429 + - type: manhattan_pearson + value: 50.518568927999155 + - type: manhattan_spearman + value: 59.84185466003894 + - type: pearson + value: 55.03825643126142 + - type: spearman + value: 58.25792501780429 + task: + type: STS + - dataset: + config: pl-en + name: MTEB STS22 (pl-en) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 77.77233721490776 + - type: cosine_spearman + value: 76.17596588017625 + - type: euclidean_pearson + value: 74.47600468156611 + - type: euclidean_spearman + value: 72.61278728057012 + - type: main_score + value: 76.17596588017625 + - type: manhattan_pearson + value: 74.48118910099699 + - type: manhattan_spearman + value: 73.33167419101696 + - type: pearson + value: 77.77233721490776 + - type: spearman + value: 76.17596588017625 + task: + type: STS + - dataset: + config: pl + name: MTEB STS22 (pl) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 42.87453608131507 + - type: cosine_spearman + value: 45.137849894401185 + - type: euclidean_pearson + value: 31.66964197694796 + - type: euclidean_spearman + value: 44.1014900837869 + - type: main_score + value: 45.137849894401185 + - type: manhattan_pearson + value: 31.007199259384745 + - type: manhattan_spearman + value: 43.48181523288926 + - type: pearson + value: 42.87453608131507 + - type: spearman + value: 45.137849894401185 + task: + type: STS + - dataset: + config: en + name: MTEB STS22 (en) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - type: cosine_pearson + value: 66.87400150638176 + - type: cosine_spearman + value: 67.27861354834066 + - type: euclidean_pearson + value: 66.81789582140216 + - type: euclidean_spearman + value: 66.44220479858708 + - type: main_score + value: 67.27861354834066 + - type: manhattan_pearson + value: 66.92509859033235 + - type: manhattan_spearman + value: 66.46841124185076 + - type: pearson + value: 66.87400150638176 + - type: spearman + value: 67.27861354834066 + task: + type: STS + - dataset: + config: ru + name: MTEB STS22 (ru) + revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 + split: test + type: mteb/sts22-crosslingual-sts + metrics: + - 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