--- tags: - mteb model-index: - name: fasttext_main results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 73.85074626865674 - type: ap value: 37.07037696888039 - type: f1 value: 68.00345425893465 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 63.018924999999996 - type: ap value: 58.9270716077803 - type: f1 value: 62.05683397387594 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 31.145999999999997 - type: f1 value: 30.541099103925795 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 13.94 - type: map_at_10 value: 23.919 - type: map_at_100 value: 24.977 - type: map_at_1000 value: 25.047000000000004 - type: map_at_3 value: 20.816000000000003 - type: map_at_5 value: 22.608 - type: mrr_at_1 value: 14.296000000000001 - type: mrr_at_10 value: 24.061 - type: mrr_at_100 value: 25.125999999999998 - type: mrr_at_1000 value: 25.196 - type: mrr_at_3 value: 20.934 - type: mrr_at_5 value: 22.758 - type: ndcg_at_1 value: 13.94 - type: ndcg_at_10 value: 29.543000000000003 - type: ndcg_at_100 value: 35.086 - type: ndcg_at_1000 value: 37.156 - type: ndcg_at_3 value: 23.169 - type: ndcg_at_5 value: 26.395000000000003 - type: precision_at_1 value: 13.94 - type: precision_at_10 value: 4.7509999999999994 - type: precision_at_100 value: 0.743 - type: precision_at_1000 value: 0.091 - type: precision_at_3 value: 10.005 - type: precision_at_5 value: 7.568 - type: recall_at_1 value: 13.94 - type: recall_at_10 value: 47.510999999999996 - type: recall_at_100 value: 74.324 - type: recall_at_1000 value: 91.11 - type: recall_at_3 value: 30.014000000000003 - type: recall_at_5 value: 37.838 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 36.773959267301734 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 27.53911280726287 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 50.148759855706025 - type: mrr value: 63.59814008705976 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 60.96274580639198 - type: cos_sim_spearman value: 62.97673617247494 - type: euclidean_pearson value: 62.52462544675977 - type: euclidean_spearman value: 62.97673617247494 - type: manhattan_pearson value: 63.39097043635172 - type: manhattan_spearman value: 64.39182865728104 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 60.72727272727272 - type: f1 value: 59.08009396100342 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 34.068622978919585 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 24.801372128107964 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 14.469999999999999 - type: map_at_10 value: 20.473 - type: map_at_100 value: 21.379 - type: map_at_1000 value: 21.522 - type: map_at_3 value: 18.603 - type: map_at_5 value: 19.814 - type: mrr_at_1 value: 19.313 - type: mrr_at_10 value: 25.483 - type: mrr_at_100 value: 26.249 - type: mrr_at_1000 value: 26.338 - type: mrr_at_3 value: 23.748 - type: mrr_at_5 value: 24.914 - type: ndcg_at_1 value: 19.313 - type: ndcg_at_10 value: 24.507 - type: ndcg_at_100 value: 29.009 - type: ndcg_at_1000 value: 32.4 - type: ndcg_at_3 value: 21.902 - type: ndcg_at_5 value: 23.379 - type: precision_at_1 value: 19.313 - type: precision_at_10 value: 4.893 - type: precision_at_100 value: 0.8999999999999999 - type: precision_at_1000 value: 0.152 - type: precision_at_3 value: 11.206000000000001 - type: precision_at_5 value: 8.24 - type: recall_at_1 value: 14.469999999999999 - type: recall_at_10 value: 31.205 - type: recall_at_100 value: 52.23100000000001 - type: recall_at_1000 value: 76.144 - type: recall_at_3 value: 22.975 - type: recall_at_5 value: 27.515 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 13.507 - type: map_at_10 value: 18.556 - type: map_at_100 value: 19.317999999999998 - type: map_at_1000 value: 19.426 - type: map_at_3 value: 17.037 - type: map_at_5 value: 17.949 - type: mrr_at_1 value: 17.261000000000003 - type: mrr_at_10 value: 22.595000000000002 - type: mrr_at_100 value: 23.305 - type: mrr_at_1000 value: 23.380000000000003 - type: mrr_at_3 value: 21.072 - type: mrr_at_5 value: 21.97 - type: ndcg_at_1 value: 17.261000000000003 - type: ndcg_at_10 value: 21.859 - type: ndcg_at_100 value: 25.531 - type: ndcg_at_1000 value: 28.402 - type: ndcg_at_3 value: 19.354 - type: ndcg_at_5 value: 20.613 - type: precision_at_1 value: 17.261000000000003 - type: precision_at_10 value: 4.159 - type: precision_at_100 value: 0.757 - type: precision_at_1000 value: 0.124 - type: precision_at_3 value: 9.447999999999999 - type: precision_at_5 value: 6.854 - type: recall_at_1 value: 13.507 - type: recall_at_10 value: 27.677000000000003 - type: recall_at_100 value: 43.657000000000004 - type: recall_at_1000 value: 63.865 - type: recall_at_3 value: 20.483 - type: recall_at_5 value: 23.78 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 19.11 - type: map_at_10 value: 25.22 - type: map_at_100 value: 26.138 - type: map_at_1000 value: 26.229000000000003 - type: map_at_3 value: 23.284 - type: map_at_5 value: 24.305 - type: mrr_at_1 value: 22.131999999999998 - type: mrr_at_10 value: 28.08 - type: mrr_at_100 value: 28.912 - type: mrr_at_1000 value: 28.98 - type: mrr_at_3 value: 26.217000000000002 - type: mrr_at_5 value: 27.217000000000002 - type: ndcg_at_1 value: 22.131999999999998 - type: ndcg_at_10 value: 29.041 - type: ndcg_at_100 value: 33.681 - type: ndcg_at_1000 value: 36.162 - type: ndcg_at_3 value: 25.261 - type: ndcg_at_5 value: 26.938000000000002 - type: precision_at_1 value: 22.131999999999998 - type: precision_at_10 value: 4.715 - type: precision_at_100 value: 0.769 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 11.181000000000001 - type: precision_at_5 value: 7.762 - type: recall_at_1 value: 19.11 - type: recall_at_10 value: 38.085 - type: recall_at_100 value: 59.207 - type: recall_at_1000 value: 77.718 - type: recall_at_3 value: 27.722 - type: recall_at_5 value: 31.919999999999998 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 5.970000000000001 - type: map_at_10 value: 8.695 - type: map_at_100 value: 9.261 - type: map_at_1000 value: 9.347 - type: map_at_3 value: 7.516 - type: map_at_5 value: 8.225999999999999 - type: mrr_at_1 value: 6.554 - type: mrr_at_10 value: 9.503 - type: mrr_at_100 value: 10.09 - type: mrr_at_1000 value: 10.174 - type: mrr_at_3 value: 8.267 - type: mrr_at_5 value: 9.008 - type: ndcg_at_1 value: 6.554 - type: ndcg_at_10 value: 10.626 - type: ndcg_at_100 value: 13.893 - type: ndcg_at_1000 value: 16.723 - type: ndcg_at_3 value: 8.246 - type: ndcg_at_5 value: 9.472999999999999 - type: precision_at_1 value: 6.554 - type: precision_at_10 value: 1.831 - type: precision_at_100 value: 0.372 - type: precision_at_1000 value: 0.065 - type: precision_at_3 value: 3.578 - type: precision_at_5 value: 2.825 - type: recall_at_1 value: 5.970000000000001 - type: recall_at_10 value: 15.962000000000002 - type: recall_at_100 value: 31.962000000000003 - type: recall_at_1000 value: 54.581 - type: recall_at_3 value: 9.464 - type: recall_at_5 value: 12.43 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 3.946 - type: map_at_10 value: 6.2010000000000005 - type: map_at_100 value: 6.676 - type: map_at_1000 value: 6.7669999999999995 - type: map_at_3 value: 5.364 - type: map_at_5 value: 5.835 - type: mrr_at_1 value: 5.1 - type: mrr_at_10 value: 7.815999999999999 - type: mrr_at_100 value: 8.38 - type: mrr_at_1000 value: 8.466 - type: mrr_at_3 value: 6.675000000000001 - type: mrr_at_5 value: 7.3469999999999995 - type: ndcg_at_1 value: 5.1 - type: ndcg_at_10 value: 7.947 - type: ndcg_at_100 value: 10.811 - type: ndcg_at_1000 value: 13.614999999999998 - type: ndcg_at_3 value: 6.172 - type: ndcg_at_5 value: 7.049999999999999 - type: precision_at_1 value: 5.1 - type: precision_at_10 value: 1.555 - type: precision_at_100 value: 0.35200000000000004 - type: precision_at_1000 value: 0.06899999999999999 - type: precision_at_3 value: 2.902 - type: precision_at_5 value: 2.363 - type: recall_at_1 value: 3.946 - type: recall_at_10 value: 11.795 - type: recall_at_100 value: 25.183 - type: recall_at_1000 value: 46.206 - type: recall_at_3 value: 7.19 - type: recall_at_5 value: 9.251 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 12.08 - type: map_at_10 value: 16.421 - type: map_at_100 value: 17.272000000000002 - type: map_at_1000 value: 17.391000000000002 - type: map_at_3 value: 14.793000000000001 - type: map_at_5 value: 15.648000000000001 - type: mrr_at_1 value: 14.726 - type: mrr_at_10 value: 19.676 - type: mrr_at_100 value: 20.461 - type: mrr_at_1000 value: 20.546 - type: mrr_at_3 value: 17.902 - type: mrr_at_5 value: 18.811 - type: ndcg_at_1 value: 14.726 - type: ndcg_at_10 value: 19.656000000000002 - type: ndcg_at_100 value: 24.043999999999997 - type: ndcg_at_1000 value: 27.209 - type: ndcg_at_3 value: 16.619 - type: ndcg_at_5 value: 17.959 - type: precision_at_1 value: 14.726 - type: precision_at_10 value: 3.6769999999999996 - type: precision_at_100 value: 0.724 - type: precision_at_1000 value: 0.117 - type: precision_at_3 value: 7.732 - type: precision_at_5 value: 5.736 - type: recall_at_1 value: 12.08 - type: recall_at_10 value: 26.334000000000003 - type: recall_at_100 value: 45.854 - type: recall_at_1000 value: 68.589 - type: recall_at_3 value: 17.773 - type: recall_at_5 value: 21.113 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 8.486 - type: map_at_10 value: 11.785 - type: map_at_100 value: 12.572 - type: map_at_1000 value: 12.681999999999999 - type: map_at_3 value: 10.439 - type: map_at_5 value: 11.227 - type: mrr_at_1 value: 10.502 - type: mrr_at_10 value: 14.255999999999998 - type: mrr_at_100 value: 15.068999999999999 - type: mrr_at_1000 value: 15.15 - type: mrr_at_3 value: 12.690000000000001 - type: mrr_at_5 value: 13.678 - type: ndcg_at_1 value: 10.502 - type: ndcg_at_10 value: 14.369000000000002 - type: ndcg_at_100 value: 18.807 - type: ndcg_at_1000 value: 21.998 - type: ndcg_at_3 value: 11.706 - type: ndcg_at_5 value: 13.114999999999998 - type: precision_at_1 value: 10.502 - type: precision_at_10 value: 2.705 - type: precision_at_100 value: 0.606 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 5.479 - type: precision_at_5 value: 4.338 - type: recall_at_1 value: 8.486 - type: recall_at_10 value: 19.895 - type: recall_at_100 value: 40.233999999999995 - type: recall_at_1000 value: 63.502 - type: recall_at_3 value: 12.934000000000001 - type: recall_at_5 value: 16.227 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 9.86625 - type: map_at_10 value: 13.610333333333333 - type: map_at_100 value: 14.300916666666666 - type: map_at_1000 value: 14.408333333333335 - type: map_at_3 value: 12.315333333333333 - type: map_at_5 value: 13.012833333333331 - type: mrr_at_1 value: 12.075833333333334 - type: mrr_at_10 value: 16.16466666666667 - type: mrr_at_100 value: 16.834999999999997 - type: mrr_at_1000 value: 16.91916666666667 - type: mrr_at_3 value: 14.80633333333333 - type: mrr_at_5 value: 15.5455 - type: ndcg_at_1 value: 12.075833333333334 - type: ndcg_at_10 value: 16.30866666666667 - type: ndcg_at_100 value: 19.96975 - type: ndcg_at_1000 value: 22.941499999999998 - type: ndcg_at_3 value: 13.900000000000002 - type: ndcg_at_5 value: 14.974749999999998 - type: precision_at_1 value: 12.075833333333334 - type: precision_at_10 value: 2.990333333333334 - type: precision_at_100 value: 0.5833333333333335 - type: precision_at_1000 value: 0.10024999999999999 - type: precision_at_3 value: 6.517250000000001 - type: precision_at_5 value: 4.741833333333333 - type: recall_at_1 value: 9.86625 - type: recall_at_10 value: 21.98225 - type: recall_at_100 value: 39.01191666666667 - type: recall_at_1000 value: 61.04558333333333 - type: recall_at_3 value: 15.127416666666669 - type: recall_at_5 value: 17.91883333333333 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 7.297 - type: map_at_10 value: 10.67 - type: map_at_100 value: 11.257 - type: map_at_1000 value: 11.328000000000001 - type: map_at_3 value: 9.513 - type: map_at_5 value: 10.184999999999999 - type: mrr_at_1 value: 8.741999999999999 - type: mrr_at_10 value: 12.423 - type: mrr_at_100 value: 12.989 - type: mrr_at_1000 value: 13.055 - type: mrr_at_3 value: 11.222 - type: mrr_at_5 value: 11.95 - type: ndcg_at_1 value: 8.741999999999999 - type: ndcg_at_10 value: 12.937000000000001 - type: ndcg_at_100 value: 16.055 - type: ndcg_at_1000 value: 18.265 - type: ndcg_at_3 value: 10.674999999999999 - type: ndcg_at_5 value: 11.82 - type: precision_at_1 value: 8.741999999999999 - type: precision_at_10 value: 2.316 - type: precision_at_100 value: 0.422 - type: precision_at_1000 value: 0.067 - type: precision_at_3 value: 4.9590000000000005 - type: precision_at_5 value: 3.681 - type: recall_at_1 value: 7.297 - type: recall_at_10 value: 18.249000000000002 - type: recall_at_100 value: 32.897999999999996 - type: recall_at_1000 value: 49.96 - type: recall_at_3 value: 12.025 - type: recall_at_5 value: 14.911 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 4.707 - type: map_at_10 value: 6.880999999999999 - type: map_at_100 value: 7.333 - type: map_at_1000 value: 7.4190000000000005 - type: map_at_3 value: 6.099 - type: map_at_5 value: 6.497 - type: mrr_at_1 value: 6.091 - type: mrr_at_10 value: 8.716 - type: mrr_at_100 value: 9.199 - type: mrr_at_1000 value: 9.279 - type: mrr_at_3 value: 7.8229999999999995 - type: mrr_at_5 value: 8.277 - type: ndcg_at_1 value: 6.091 - type: ndcg_at_10 value: 8.606 - type: ndcg_at_100 value: 11.199 - type: ndcg_at_1000 value: 13.900000000000002 - type: ndcg_at_3 value: 7.090000000000001 - type: ndcg_at_5 value: 7.702000000000001 - type: precision_at_1 value: 6.091 - type: precision_at_10 value: 1.686 - type: precision_at_100 value: 0.359 - type: precision_at_1000 value: 0.06999999999999999 - type: precision_at_3 value: 3.4639999999999995 - type: precision_at_5 value: 2.581 - type: recall_at_1 value: 4.707 - type: recall_at_10 value: 12.167 - type: recall_at_100 value: 24.428 - type: recall_at_1000 value: 44.789 - type: recall_at_3 value: 7.775 - type: recall_at_5 value: 9.386999999999999 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 10.186 - type: map_at_10 value: 13.07 - type: map_at_100 value: 13.654 - type: map_at_1000 value: 13.761000000000001 - type: map_at_3 value: 11.89 - type: map_at_5 value: 12.386999999999999 - type: mrr_at_1 value: 12.127 - type: mrr_at_10 value: 15.678 - type: mrr_at_100 value: 16.262 - type: mrr_at_1000 value: 16.361 - type: mrr_at_3 value: 14.396999999999998 - type: mrr_at_5 value: 14.887 - type: ndcg_at_1 value: 12.127 - type: ndcg_at_10 value: 15.607 - type: ndcg_at_100 value: 18.759999999999998 - type: ndcg_at_1000 value: 22.019 - type: ndcg_at_3 value: 13.166 - type: ndcg_at_5 value: 13.916999999999998 - type: precision_at_1 value: 12.127 - type: precision_at_10 value: 2.649 - type: precision_at_100 value: 0.473 - type: precision_at_1000 value: 0.08499999999999999 - type: precision_at_3 value: 5.908 - type: precision_at_5 value: 4.067 - type: recall_at_1 value: 10.186 - type: recall_at_10 value: 21.227999999999998 - type: recall_at_100 value: 35.812 - type: recall_at_1000 value: 60.436 - type: recall_at_3 value: 14.011999999999999 - type: recall_at_5 value: 16.04 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 11.088000000000001 - type: map_at_10 value: 15.311 - type: map_at_100 value: 16.104 - type: map_at_1000 value: 16.285 - type: map_at_3 value: 13.911000000000001 - type: map_at_5 value: 14.454 - type: mrr_at_1 value: 14.229 - type: mrr_at_10 value: 18.834999999999997 - type: mrr_at_100 value: 19.564999999999998 - type: mrr_at_1000 value: 19.665 - type: mrr_at_3 value: 17.589 - type: mrr_at_5 value: 18.034 - type: ndcg_at_1 value: 14.229 - type: ndcg_at_10 value: 18.715 - type: ndcg_at_100 value: 22.689999999999998 - type: ndcg_at_1000 value: 26.351999999999997 - type: ndcg_at_3 value: 16.424 - type: ndcg_at_5 value: 16.991999999999997 - type: precision_at_1 value: 14.229 - type: precision_at_10 value: 3.794 - type: precision_at_100 value: 0.874 - type: precision_at_1000 value: 0.17099999999999999 - type: precision_at_3 value: 8.036999999999999 - type: precision_at_5 value: 5.534 - type: recall_at_1 value: 11.088000000000001 - type: recall_at_10 value: 24.603 - type: recall_at_100 value: 44.41 - type: recall_at_1000 value: 70.00800000000001 - type: recall_at_3 value: 17.192 - type: recall_at_5 value: 19.236 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 7.548000000000001 - type: map_at_10 value: 10.041 - type: map_at_100 value: 10.647 - type: map_at_1000 value: 10.743 - type: map_at_3 value: 9.335 - type: map_at_5 value: 9.626999999999999 - type: mrr_at_1 value: 8.133 - type: mrr_at_10 value: 10.915 - type: mrr_at_100 value: 11.539000000000001 - type: mrr_at_1000 value: 11.636000000000001 - type: mrr_at_3 value: 10.074 - type: mrr_at_5 value: 10.453 - type: ndcg_at_1 value: 8.133 - type: ndcg_at_10 value: 11.834 - type: ndcg_at_100 value: 15.157000000000002 - type: ndcg_at_1000 value: 18.253 - type: ndcg_at_3 value: 10.184999999999999 - type: ndcg_at_5 value: 10.739 - type: precision_at_1 value: 8.133 - type: precision_at_10 value: 1.9040000000000001 - type: precision_at_100 value: 0.392 - type: precision_at_1000 value: 0.07100000000000001 - type: precision_at_3 value: 4.313000000000001 - type: precision_at_5 value: 2.921 - type: recall_at_1 value: 7.548000000000001 - type: recall_at_10 value: 16.587 - type: recall_at_100 value: 32.267 - type: recall_at_1000 value: 56.749 - type: recall_at_3 value: 11.984 - type: recall_at_5 value: 13.216 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 5.405 - type: map_at_10 value: 9.92 - type: map_at_100 value: 11.148 - type: map_at_1000 value: 11.315999999999999 - type: map_at_3 value: 8.121 - type: map_at_5 value: 8.985 - type: mrr_at_1 value: 13.16 - type: mrr_at_10 value: 20.937 - type: mrr_at_100 value: 21.97 - type: mrr_at_1000 value: 22.047 - type: mrr_at_3 value: 18.295 - type: mrr_at_5 value: 19.706000000000003 - type: ndcg_at_1 value: 13.16 - type: ndcg_at_10 value: 15.091 - type: ndcg_at_100 value: 20.957 - type: ndcg_at_1000 value: 24.538 - type: ndcg_at_3 value: 11.75 - type: ndcg_at_5 value: 12.851 - type: precision_at_1 value: 13.16 - type: precision_at_10 value: 5.049 - type: precision_at_100 value: 1.131 - type: precision_at_1000 value: 0.178 - type: precision_at_3 value: 9.034 - type: precision_at_5 value: 7.127 - type: recall_at_1 value: 5.405 - type: recall_at_10 value: 19.029 - type: recall_at_100 value: 40.198 - type: recall_at_1000 value: 60.731 - type: recall_at_3 value: 10.938 - type: recall_at_5 value: 14.052000000000001 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 1.8339999999999999 - type: map_at_10 value: 4.495 - type: map_at_100 value: 6.571000000000001 - type: map_at_1000 value: 7.219 - type: map_at_3 value: 3.011 - type: map_at_5 value: 3.7409999999999997 - type: mrr_at_1 value: 23.0 - type: mrr_at_10 value: 32.812999999999995 - type: mrr_at_100 value: 33.79 - type: mrr_at_1000 value: 33.853 - type: mrr_at_3 value: 29.875 - type: mrr_at_5 value: 31.624999999999996 - type: ndcg_at_1 value: 16.375 - type: ndcg_at_10 value: 13.153 - type: ndcg_at_100 value: 16.036 - type: ndcg_at_1000 value: 22.221 - type: ndcg_at_3 value: 14.135 - type: ndcg_at_5 value: 13.825999999999999 - type: precision_at_1 value: 23.0 - type: precision_at_10 value: 12.425 - type: precision_at_100 value: 4.287 - type: precision_at_1000 value: 0.9950000000000001 - type: precision_at_3 value: 17.583 - type: precision_at_5 value: 15.8 - type: recall_at_1 value: 1.8339999999999999 - type: recall_at_10 value: 8.286 - type: recall_at_100 value: 21.938 - type: recall_at_1000 value: 43.192 - type: recall_at_3 value: 3.904 - type: recall_at_5 value: 5.821 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 32.895 - type: f1 value: 30.402766415345212 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 10.581999999999999 - type: map_at_10 value: 15.384999999999998 - type: map_at_100 value: 16.173000000000002 - type: map_at_1000 value: 16.253 - type: map_at_3 value: 13.819999999999999 - type: map_at_5 value: 14.627 - type: mrr_at_1 value: 11.296000000000001 - type: mrr_at_10 value: 16.305 - type: mrr_at_100 value: 17.131 - type: mrr_at_1000 value: 17.205000000000002 - type: mrr_at_3 value: 14.655999999999999 - type: mrr_at_5 value: 15.512 - type: ndcg_at_1 value: 11.296000000000001 - type: ndcg_at_10 value: 18.401999999999997 - type: ndcg_at_100 value: 22.677 - type: ndcg_at_1000 value: 25.072 - type: ndcg_at_3 value: 15.089 - type: ndcg_at_5 value: 16.554 - type: precision_at_1 value: 11.296000000000001 - type: precision_at_10 value: 2.934 - type: precision_at_100 value: 0.524 - type: precision_at_1000 value: 0.075 - type: precision_at_3 value: 6.411 - type: precision_at_5 value: 4.623 - type: recall_at_1 value: 10.581999999999999 - type: recall_at_10 value: 27.061 - type: recall_at_100 value: 47.522999999999996 - type: recall_at_1000 value: 66.376 - type: recall_at_3 value: 17.942 - type: recall_at_5 value: 21.453 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 4.1419999999999995 - type: map_at_10 value: 7.237 - type: map_at_100 value: 7.9670000000000005 - type: map_at_1000 value: 8.118 - type: map_at_3 value: 6.129 - type: map_at_5 value: 6.569 - type: mrr_at_1 value: 8.025 - type: mrr_at_10 value: 12.7 - type: mrr_at_100 value: 13.565 - type: mrr_at_1000 value: 13.679 - type: mrr_at_3 value: 11.06 - type: mrr_at_5 value: 11.824 - type: ndcg_at_1 value: 8.025 - type: ndcg_at_10 value: 10.324 - type: ndcg_at_100 value: 14.494000000000002 - type: ndcg_at_1000 value: 18.552 - type: ndcg_at_3 value: 8.161 - type: ndcg_at_5 value: 8.745 - type: precision_at_1 value: 8.025 - type: precision_at_10 value: 2.948 - type: precision_at_100 value: 0.7100000000000001 - type: precision_at_1000 value: 0.13899999999999998 - type: precision_at_3 value: 5.453 - type: precision_at_5 value: 4.105 - type: recall_at_1 value: 4.1419999999999995 - type: recall_at_10 value: 14.329 - type: recall_at_100 value: 31.011 - type: recall_at_1000 value: 56.995 - type: recall_at_3 value: 8.043 - type: recall_at_5 value: 9.777 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 11.296000000000001 - type: map_at_10 value: 15.665999999999999 - type: map_at_100 value: 16.337 - type: map_at_1000 value: 16.425 - type: map_at_3 value: 14.318 - type: map_at_5 value: 15.068000000000001 - type: mrr_at_1 value: 22.593 - type: mrr_at_10 value: 27.923 - type: mrr_at_100 value: 28.639 - type: mrr_at_1000 value: 28.708 - type: mrr_at_3 value: 26.349 - type: mrr_at_5 value: 27.282 - type: ndcg_at_1 value: 22.593 - type: ndcg_at_10 value: 20.558 - type: ndcg_at_100 value: 23.957 - type: ndcg_at_1000 value: 26.381 - type: ndcg_at_3 value: 17.843999999999998 - type: ndcg_at_5 value: 19.189 - type: precision_at_1 value: 22.593 - type: precision_at_10 value: 4.601 - type: precision_at_100 value: 0.732 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 11.254 - type: precision_at_5 value: 7.819 - type: recall_at_1 value: 11.296000000000001 - type: recall_at_10 value: 23.005 - type: recall_at_100 value: 36.597 - type: recall_at_1000 value: 52.93 - type: recall_at_3 value: 16.88 - type: recall_at_5 value: 19.548 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 64.0796 - type: ap value: 59.21369657756785 - type: f1 value: 63.80554451507698 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 2.822 - type: map_at_10 value: 4.9079999999999995 - type: map_at_100 value: 5.4670000000000005 - type: map_at_1000 value: 5.552 - type: map_at_3 value: 4.064 - type: map_at_5 value: 4.479 - type: mrr_at_1 value: 2.8369999999999997 - type: mrr_at_10 value: 5.006 - type: mrr_at_100 value: 5.575 - type: mrr_at_1000 value: 5.6579999999999995 - type: mrr_at_3 value: 4.133 - type: mrr_at_5 value: 4.559 - type: ndcg_at_1 value: 2.8369999999999997 - type: ndcg_at_10 value: 6.32 - type: ndcg_at_100 value: 9.546000000000001 - type: ndcg_at_1000 value: 12.223 - type: ndcg_at_3 value: 4.517 - type: ndcg_at_5 value: 5.267 - type: precision_at_1 value: 2.8369999999999997 - type: precision_at_10 value: 1.119 - type: precision_at_100 value: 0.28300000000000003 - type: precision_at_1000 value: 0.052 - type: precision_at_3 value: 1.968 - type: precision_at_5 value: 1.559 - type: recall_at_1 value: 2.822 - type: recall_at_10 value: 10.788 - type: recall_at_100 value: 26.848 - type: recall_at_1000 value: 48.613 - type: recall_at_3 value: 5.759 - type: recall_at_5 value: 7.5600000000000005 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 85.22571819425444 - type: f1 value: 84.76386137659372 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 56.31326949384404 - type: f1 value: 36.81602997546668 - task: type: Classification dataset: type: None name: MTEB MasakhaNEWSClassification (eng) config: eng split: test revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60 metrics: - type: accuracy value: 76.69831223628692 - type: f1 value: 75.94656175905295 - task: type: Clustering dataset: type: None name: MTEB MasakhaNEWSClusteringS2S (eng) config: eng split: test revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60 metrics: - type: v_measure value: 19.60289598967427 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 56.36852723604573 - type: f1 value: 53.668136836547085 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 64.51916610625419 - type: f1 value: 62.784248086639515 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 27.851032342558657 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 23.456392994056834 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 26.934895509745115 - type: mrr value: 27.27108783122485 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 3.405 - type: map_at_10 value: 7.180000000000001 - type: map_at_100 value: 9.014999999999999 - type: map_at_1000 value: 10.211 - type: map_at_3 value: 5.541 - type: map_at_5 value: 6.29 - type: mrr_at_1 value: 26.316 - type: mrr_at_10 value: 37.216 - type: mrr_at_100 value: 38.155 - type: mrr_at_1000 value: 38.216 - type: mrr_at_3 value: 35.243 - type: mrr_at_5 value: 36.434 - type: ndcg_at_1 value: 24.768 - type: ndcg_at_10 value: 21.11 - type: ndcg_at_100 value: 21.051000000000002 - type: ndcg_at_1000 value: 30.789 - type: ndcg_at_3 value: 23.94 - type: ndcg_at_5 value: 22.512 - type: precision_at_1 value: 26.316 - type: precision_at_10 value: 15.387 - type: precision_at_100 value: 5.824 - type: precision_at_1000 value: 1.923 - type: precision_at_3 value: 22.601 - type: precision_at_5 value: 19.195 - type: recall_at_1 value: 3.405 - type: recall_at_10 value: 11.04 - type: recall_at_100 value: 24.92 - type: recall_at_1000 value: 58.472 - type: recall_at_3 value: 6.746 - type: recall_at_5 value: 8.366 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 3.879 - type: map_at_10 value: 6.714 - type: map_at_100 value: 7.2989999999999995 - type: map_at_1000 value: 7.376 - type: map_at_3 value: 5.5440000000000005 - type: map_at_5 value: 6.128 - type: mrr_at_1 value: 4.635 - type: mrr_at_10 value: 7.686999999999999 - type: mrr_at_100 value: 8.272 - type: mrr_at_1000 value: 8.341 - type: mrr_at_3 value: 6.4750000000000005 - type: mrr_at_5 value: 7.093000000000001 - type: ndcg_at_1 value: 4.635 - type: ndcg_at_10 value: 8.745 - type: ndcg_at_100 value: 11.95 - type: ndcg_at_1000 value: 14.248 - type: ndcg_at_3 value: 6.311 - type: ndcg_at_5 value: 7.364 - type: precision_at_1 value: 4.635 - type: precision_at_10 value: 1.7149999999999999 - type: precision_at_100 value: 0.358 - type: precision_at_1000 value: 0.058 - type: precision_at_3 value: 3.042 - type: precision_at_5 value: 2.4330000000000003 - type: recall_at_1 value: 3.879 - type: recall_at_10 value: 14.129 - type: recall_at_100 value: 29.369 - type: recall_at_1000 value: 47.313 - type: recall_at_3 value: 7.631 - type: recall_at_5 value: 10.098 - task: type: PairClassification dataset: type: None name: MTEB OpusparcusPC (en) config: en split: test revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a metrics: - type: cos_sim_accuracy value: 99.89816700610999 - type: cos_sim_ap value: 100.0 - type: cos_sim_f1 value: 99.9490575649516 - type: cos_sim_precision value: 100.0 - type: cos_sim_recall value: 99.89816700610999 - type: dot_accuracy value: 99.89816700610999 - type: dot_ap value: 100.0 - type: dot_f1 value: 99.9490575649516 - type: dot_precision value: 100.0 - type: dot_recall value: 99.89816700610999 - type: euclidean_accuracy value: 99.89816700610999 - type: euclidean_ap value: 100.0 - type: euclidean_f1 value: 99.9490575649516 - type: euclidean_precision value: 100.0 - type: euclidean_recall value: 99.89816700610999 - type: manhattan_accuracy value: 99.89816700610999 - type: manhattan_ap value: 100.0 - type: manhattan_f1 value: 99.9490575649516 - type: manhattan_precision value: 100.0 - type: manhattan_recall value: 99.89816700610999 - type: max_accuracy value: 99.89816700610999 - type: max_ap value: 100.0 - type: max_f1 value: 99.9490575649516 - task: type: PairClassification dataset: type: None name: MTEB PawsX (en) config: en split: test revision: 8a04d940a42cd40658986fdd8e3da561533a3646 metrics: - type: cos_sim_accuracy value: 54.6 - type: cos_sim_ap value: 41.86283617866976 - type: cos_sim_f1 value: 62.42257398485891 - type: cos_sim_precision value: 45.37268634317159 - type: cos_sim_recall value: 100.0 - type: dot_accuracy value: 54.65 - type: dot_ap value: 41.97285801948605 - type: dot_f1 value: 62.444061962134256 - type: dot_precision value: 45.3953953953954 - type: dot_recall value: 100.0 - type: euclidean_accuracy value: 55.2 - type: euclidean_ap value: 43.13939119930642 - type: euclidean_f1 value: 62.42257398485891 - type: euclidean_precision value: 45.37268634317159 - type: euclidean_recall value: 100.0 - type: manhattan_accuracy value: 55.2 - type: manhattan_ap value: 43.25154714126316 - type: manhattan_f1 value: 62.487010737790094 - type: manhattan_precision value: 45.55555555555556 - type: manhattan_recall value: 99.44873208379272 - type: max_accuracy value: 55.2 - type: max_ap value: 43.25154714126316 - type: max_f1 value: 62.487010737790094 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 53.702000000000005 - type: map_at_10 value: 65.176 - type: map_at_100 value: 65.999 - type: map_at_1000 value: 66.049 - type: map_at_3 value: 62.368 - type: map_at_5 value: 64.077 - type: mrr_at_1 value: 61.9 - type: mrr_at_10 value: 69.987 - type: mrr_at_100 value: 70.36200000000001 - type: mrr_at_1000 value: 70.379 - type: mrr_at_3 value: 68.207 - type: mrr_at_5 value: 69.327 - type: ndcg_at_1 value: 61.92999999999999 - type: ndcg_at_10 value: 70.295 - type: ndcg_at_100 value: 73.1 - type: ndcg_at_1000 value: 73.916 - type: ndcg_at_3 value: 66.355 - type: ndcg_at_5 value: 68.403 - type: precision_at_1 value: 61.92999999999999 - type: precision_at_10 value: 10.671999999999999 - type: precision_at_100 value: 1.332 - type: precision_at_1000 value: 0.147 - type: precision_at_3 value: 28.83 - type: precision_at_5 value: 19.216 - type: recall_at_1 value: 53.702000000000005 - type: recall_at_10 value: 80.455 - type: recall_at_100 value: 91.75999999999999 - type: recall_at_1000 value: 97.033 - type: recall_at_3 value: 69.228 - type: recall_at_5 value: 74.766 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 25.781222642642586 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 39.469895537327254 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 1.043 - type: map_at_10 value: 2.456 - type: map_at_100 value: 2.913 - type: map_at_1000 value: 3.078 - type: map_at_3 value: 1.7870000000000001 - type: map_at_5 value: 2.173 - type: mrr_at_1 value: 5.1 - type: mrr_at_10 value: 8.515 - type: mrr_at_100 value: 9.149000000000001 - type: mrr_at_1000 value: 9.276 - type: mrr_at_3 value: 7.2669999999999995 - type: mrr_at_5 value: 7.962 - type: ndcg_at_1 value: 5.1 - type: ndcg_at_10 value: 4.578 - type: ndcg_at_100 value: 7.26 - type: ndcg_at_1000 value: 11.705 - type: ndcg_at_3 value: 4.194 - type: ndcg_at_5 value: 3.823 - type: precision_at_1 value: 5.1 - type: precision_at_10 value: 2.39 - type: precision_at_100 value: 0.645 - type: precision_at_1000 value: 0.174 - type: precision_at_3 value: 3.9 - type: precision_at_5 value: 3.4000000000000004 - type: recall_at_1 value: 1.043 - type: recall_at_10 value: 4.882000000000001 - type: recall_at_100 value: 13.15 - type: recall_at_1000 value: 35.385 - type: recall_at_3 value: 2.388 - type: recall_at_5 value: 3.4770000000000003 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 69.93170082002553 - type: cos_sim_spearman value: 60.08741092780676 - type: euclidean_pearson value: 65.60500561965856 - type: euclidean_spearman value: 60.08755668871506 - type: manhattan_pearson value: 66.26288910017067 - 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type: cos_sim_pearson value: 63.43542239265359 - type: cos_sim_spearman value: 62.75650954855537 - type: euclidean_pearson value: 63.87500752354951 - type: euclidean_spearman value: 62.75647357698498 - type: manhattan_pearson value: 64.30854220561612 - type: manhattan_spearman value: 63.221533112975756 - task: type: STS dataset: type: None name: MTEB STS15 config: default split: test revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 metrics: - type: cos_sim_pearson value: 70.3113558570832 - type: cos_sim_spearman value: 72.99345938388264 - type: euclidean_pearson value: 72.46131589134022 - type: euclidean_spearman value: 72.99345776180552 - type: manhattan_pearson value: 72.98365443642383 - type: manhattan_spearman value: 73.52773752441843 - task: type: STS dataset: type: None name: MTEB STS16 config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 59.508816955942734 - type: cos_sim_spearman value: 64.16476610475141 - type: euclidean_pearson value: 63.49096301327081 - 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type: precision_at_3 value: 15.556000000000001 - type: precision_at_5 value: 10.467 - type: recall_at_1 value: 28.278 - type: recall_at_10 value: 61.306000000000004 - type: recall_at_100 value: 82.794 - type: recall_at_1000 value: 96.68299999999999 - type: recall_at_3 value: 43.722 - type: recall_at_5 value: 48.528 - task: type: PairClassification dataset: type: None name: MTEB SprintDuplicateQuestions config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.45049504950495 - type: cos_sim_ap value: 72.53477415157148 - type: cos_sim_f1 value: 69.14778856526429 - type: cos_sim_precision value: 75.05854800936767 - type: cos_sim_recall value: 64.1 - type: dot_accuracy value: 99.45049504950495 - type: dot_ap value: 72.53477415157148 - type: dot_f1 value: 69.14778856526429 - type: dot_precision value: 75.05854800936767 - type: dot_recall value: 64.1 - type: euclidean_accuracy value: 99.45049504950495 - type: euclidean_ap value: 72.53477415157148 - type: euclidean_f1 value: 69.14778856526429 - type: euclidean_precision value: 75.05854800936767 - type: euclidean_recall value: 64.1 - type: manhattan_accuracy value: 99.5039603960396 - type: manhattan_ap value: 76.7082832888717 - type: manhattan_f1 value: 72.13822894168467 - type: manhattan_precision value: 78.40375586854461 - type: manhattan_recall value: 66.8 - type: max_accuracy value: 99.5039603960396 - type: max_ap value: 76.7082832888717 - type: max_f1 value: 72.13822894168467 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 41.45680507027172 - task: type: Clustering dataset: type: None name: MTEB StackExchangeClusteringP2P config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 28.75350540653195 - task: type: Reranking dataset: type: None name: MTEB StackOverflowDupQuestions config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 38.69383105134447 - type: mrr value: 38.75449611662847 - task: type: Summarization dataset: type: None name: MTEB SummEval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 31.14397459171298 - type: cos_sim_spearman value: 30.327886960162086 - type: dot_pearson value: 31.143974578709766 - type: dot_spearman value: 30.297101868216526 - task: type: Retrieval dataset: type: None name: MTEB TRECCOVID config: default split: test revision: None metrics: - type: map_at_1 value: 0.123 - type: map_at_10 value: 0.8380000000000001 - type: map_at_100 value: 3.5389999999999997 - type: map_at_1000 value: 8.105 - type: map_at_3 value: 0.319 - type: map_at_5 value: 0.482 - type: mrr_at_1 value: 52.0 - type: mrr_at_10 value: 63.839 - type: mrr_at_100 value: 64.274 - type: mrr_at_1000 value: 64.274 - type: mrr_at_3 value: 62.0 - type: mrr_at_5 value: 62.5 - type: ndcg_at_1 value: 45.0 - type: ndcg_at_10 value: 43.013 - type: ndcg_at_100 value: 28.294999999999998 - type: ndcg_at_1000 value: 24.868000000000002 - type: ndcg_at_3 value: 45.112 - type: ndcg_at_5 value: 44.41 - type: precision_at_1 value: 52.0 - type: precision_at_10 value: 47.4 - type: precision_at_100 value: 29.42 - type: precision_at_1000 value: 12.126000000000001 - type: precision_at_3 value: 50.666999999999994 - type: precision_at_5 value: 50.0 - type: recall_at_1 value: 0.123 - type: recall_at_10 value: 1.101 - type: recall_at_100 value: 6.366 - type: recall_at_1000 value: 24.29 - type: recall_at_3 value: 0.368 - type: recall_at_5 value: 0.5910000000000001 - task: type: Retrieval dataset: type: None name: MTEB Touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.1280000000000001 - type: map_at_10 value: 3.533 - type: map_at_100 value: 6.584 - type: map_at_1000 value: 7.983 - type: map_at_3 value: 2.1399999999999997 - type: map_at_5 value: 2.825 - type: mrr_at_1 value: 20.408 - type: mrr_at_10 value: 29.62 - type: mrr_at_100 value: 31.746000000000002 - type: mrr_at_1000 value: 31.767 - type: mrr_at_3 value: 25.169999999999998 - type: mrr_at_5 value: 28.231 - type: ndcg_at_1 value: 18.367 - type: ndcg_at_10 value: 11.927 - type: ndcg_at_100 value: 21.722 - type: ndcg_at_1000 value: 34.343 - type: ndcg_at_3 value: 14.097999999999999 - type: ndcg_at_5 value: 13.475000000000001 - type: precision_at_1 value: 20.408 - type: precision_at_10 value: 11.224 - type: precision_at_100 value: 5.3469999999999995 - type: precision_at_1000 value: 1.316 - type: precision_at_3 value: 14.285999999999998 - type: precision_at_5 value: 14.285999999999998 - type: recall_at_1 value: 1.1280000000000001 - type: recall_at_10 value: 7.104000000000001 - type: recall_at_100 value: 32.883 - type: recall_at_1000 value: 71.486 - type: recall_at_3 value: 2.828 - type: recall_at_5 value: 4.619 - task: type: Classification dataset: type: None name: MTEB ToxicConversationsClassification config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 69.719 - type: ap value: 13.153064299460688 - type: f1 value: 53.23280050361928 - task: type: Classification dataset: type: None name: MTEB TweetSentimentExtractionClassification config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 51.47425014148273 - type: f1 value: 51.588742010704195 - task: type: Clustering dataset: type: None name: MTEB TwentyNewsgroupsClustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 28.331197809553117 - task: type: PairClassification dataset: type: None name: MTEB TwitterSemEval2015 config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 81.19449245991535 - type: cos_sim_ap value: 53.831102581174925 - type: cos_sim_f1 value: 52.64428881912582 - type: cos_sim_precision value: 48.53072128227961 - type: cos_sim_recall value: 57.519788918205805 - type: dot_accuracy value: 81.19449245991535 - 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