--- tags: - mteb model-index: - name: nomic_classification_50 results: - task: type: Classification dataset: type: None name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 67.26865671641791 - type: ap value: 30.002473367582354 - type: f1 value: 61.1971953752801 - task: type: Classification dataset: type: None name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 64.285825 - type: ap value: 59.48909573055728 - type: f1 value: 63.9870581887586 - task: type: Classification dataset: type: None name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 32.094 - type: f1 value: 31.58604218365913 - task: type: Retrieval dataset: type: None name: MTEB ArguAna config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 13.016 - type: map_at_10 value: 22.521 - type: map_at_100 value: 23.799 - type: map_at_1000 value: 23.883 - type: map_at_3 value: 19.381 - type: map_at_5 value: 20.928 - type: mrr_at_1 value: 13.442000000000002 - type: mrr_at_10 value: 22.667 - type: mrr_at_100 value: 23.944 - type: mrr_at_1000 value: 24.029 - type: mrr_at_3 value: 19.523 - type: mrr_at_5 value: 21.102 - type: ndcg_at_1 value: 13.016 - type: ndcg_at_10 value: 28.059 - type: ndcg_at_100 value: 34.812 - type: ndcg_at_1000 value: 37.074 - type: ndcg_at_3 value: 21.438 - type: ndcg_at_5 value: 24.238 - type: precision_at_1 value: 13.016 - type: precision_at_10 value: 4.595 - type: precision_at_100 value: 0.787 - type: precision_at_1000 value: 0.097 - type: precision_at_3 value: 9.128 - type: precision_at_5 value: 6.842 - type: recall_at_1 value: 13.016 - type: recall_at_10 value: 45.946 - type: recall_at_100 value: 78.73400000000001 - type: recall_at_1000 value: 96.515 - type: recall_at_3 value: 27.383000000000003 - type: recall_at_5 value: 34.211000000000006 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 25.72708581045921 - task: type: Clustering dataset: type: None name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 17.273102202229808 - task: type: Reranking dataset: type: None name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 48.99875215426555 - type: mrr value: 60.91731521786923 - task: type: STS dataset: type: None name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 67.57739420865997 - type: cos_sim_spearman value: 68.8491591362424 - type: euclidean_pearson value: 67.94540320514962 - type: euclidean_spearman value: 68.8491591362424 - type: manhattan_pearson value: 65.69150432274179 - type: manhattan_spearman value: 66.33223431652344 - task: type: Classification dataset: type: None name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 57.698051948051955 - type: f1 value: 56.00046616188858 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 24.472330529075432 - task: type: Clustering dataset: type: None name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 15.20312280133779 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 11.856 - type: map_at_10 value: 15.922 - type: map_at_100 value: 16.692999999999998 - type: map_at_1000 value: 16.844 - type: map_at_3 value: 14.233 - type: map_at_5 value: 15.315999999999999 - type: mrr_at_1 value: 14.449000000000002 - type: mrr_at_10 value: 19.359 - type: mrr_at_100 value: 20.095 - type: mrr_at_1000 value: 20.194000000000003 - type: mrr_at_3 value: 17.501 - type: mrr_at_5 value: 18.66 - type: ndcg_at_1 value: 14.449000000000002 - type: ndcg_at_10 value: 19.192999999999998 - type: ndcg_at_100 value: 23.237 - type: ndcg_at_1000 value: 27.032 - type: ndcg_at_3 value: 16.265 - type: ndcg_at_5 value: 17.863 - type: precision_at_1 value: 14.449000000000002 - type: precision_at_10 value: 3.662 - type: precision_at_100 value: 0.718 - type: precision_at_1000 value: 0.129 - type: precision_at_3 value: 7.630000000000001 - type: precision_at_5 value: 5.866 - type: recall_at_1 value: 11.856 - type: recall_at_10 value: 25.694 - type: recall_at_100 value: 44.003 - type: recall_at_1000 value: 71.039 - type: recall_at_3 value: 17.136000000000003 - type: recall_at_5 value: 21.393 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 8.758000000000001 - type: map_at_10 value: 12.205 - type: map_at_100 value: 12.859000000000002 - type: map_at_1000 value: 12.967 - type: map_at_3 value: 11.196 - type: map_at_5 value: 11.676 - type: mrr_at_1 value: 11.21 - type: mrr_at_10 value: 15.062000000000001 - type: mrr_at_100 value: 15.720999999999998 - type: mrr_at_1000 value: 15.803 - type: mrr_at_3 value: 13.896 - type: mrr_at_5 value: 14.456 - type: ndcg_at_1 value: 11.21 - type: ndcg_at_10 value: 14.64 - type: ndcg_at_100 value: 18.163 - type: ndcg_at_1000 value: 21.15 - type: ndcg_at_3 value: 12.838 - type: ndcg_at_5 value: 13.475000000000001 - type: precision_at_1 value: 11.21 - type: precision_at_10 value: 2.79 - type: precision_at_100 value: 0.575 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 6.306000000000001 - type: precision_at_5 value: 4.369 - type: recall_at_1 value: 8.758000000000001 - type: recall_at_10 value: 19.213 - type: recall_at_100 value: 35.434 - type: recall_at_1000 value: 56.720000000000006 - type: recall_at_3 value: 13.758999999999999 - type: recall_at_5 value: 15.618000000000002 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGamingRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 11.655999999999999 - type: map_at_10 value: 15.429 - type: map_at_100 value: 16.223000000000003 - type: map_at_1000 value: 16.334 - type: map_at_3 value: 14.069999999999999 - type: map_at_5 value: 14.815000000000001 - type: mrr_at_1 value: 13.48 - type: mrr_at_10 value: 17.421 - type: mrr_at_100 value: 18.195 - type: mrr_at_1000 value: 18.285 - type: mrr_at_3 value: 15.967 - type: mrr_at_5 value: 16.75 - type: ndcg_at_1 value: 13.48 - type: ndcg_at_10 value: 18.053 - type: ndcg_at_100 value: 22.471 - type: ndcg_at_1000 value: 25.689 - type: ndcg_at_3 value: 15.290000000000001 - type: ndcg_at_5 value: 16.536 - type: precision_at_1 value: 13.48 - type: precision_at_10 value: 2.991 - type: precision_at_100 value: 0.586 - type: precision_at_1000 value: 0.095 - type: precision_at_3 value: 6.729 - type: precision_at_5 value: 4.853 - type: recall_at_1 value: 11.655999999999999 - type: recall_at_10 value: 24.329 - type: recall_at_100 value: 45.178000000000004 - type: recall_at_1000 value: 69.83200000000001 - type: recall_at_3 value: 16.692 - type: recall_at_5 value: 19.767000000000003 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackGisRetrieval config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 3.672 - type: map_at_10 value: 5.507 - type: map_at_100 value: 5.853 - type: map_at_1000 value: 5.9319999999999995 - type: map_at_3 value: 4.648 - type: map_at_5 value: 5.087 - type: mrr_at_1 value: 4.0680000000000005 - type: mrr_at_10 value: 6.03 - type: mrr_at_100 value: 6.404999999999999 - type: mrr_at_1000 value: 6.485 - type: mrr_at_3 value: 5.16 - type: mrr_at_5 value: 5.595 - type: ndcg_at_1 value: 4.0680000000000005 - type: ndcg_at_10 value: 6.955 - type: ndcg_at_100 value: 9.059000000000001 - type: ndcg_at_1000 value: 11.916 - type: ndcg_at_3 value: 5.137 - type: ndcg_at_5 value: 5.912 - type: precision_at_1 value: 4.0680000000000005 - type: precision_at_10 value: 1.232 - type: precision_at_100 value: 0.246 - type: precision_at_1000 value: 0.053 - type: precision_at_3 value: 2.26 - type: precision_at_5 value: 1.763 - type: recall_at_1 value: 3.672 - type: recall_at_10 value: 11.149000000000001 - type: recall_at_100 value: 21.564 - type: recall_at_1000 value: 44.851 - type: recall_at_3 value: 6.008 - type: recall_at_5 value: 7.91 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 2.308 - type: map_at_10 value: 3.431 - type: map_at_100 value: 3.8890000000000002 - type: map_at_1000 value: 3.988 - type: map_at_3 value: 2.896 - type: map_at_5 value: 3.182 - type: mrr_at_1 value: 2.9850000000000003 - type: mrr_at_10 value: 4.4110000000000005 - type: mrr_at_100 value: 4.925 - type: mrr_at_1000 value: 5.022 - type: mrr_at_3 value: 3.669 - type: mrr_at_5 value: 4.086 - type: ndcg_at_1 value: 2.9850000000000003 - type: ndcg_at_10 value: 4.463 - type: ndcg_at_100 value: 7.03 - type: ndcg_at_1000 value: 10.358 - type: ndcg_at_3 value: 3.3529999999999998 - type: ndcg_at_5 value: 3.866 - type: precision_at_1 value: 2.9850000000000003 - type: precision_at_10 value: 0.9079999999999999 - type: precision_at_100 value: 0.26 - type: precision_at_1000 value: 0.065 - type: precision_at_3 value: 1.575 - type: precision_at_5 value: 1.318 - type: recall_at_1 value: 2.308 - type: recall_at_10 value: 6.776999999999999 - type: recall_at_100 value: 18.618000000000002 - type: recall_at_1000 value: 44.175 - type: recall_at_3 value: 3.687 - type: recall_at_5 value: 4.948 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackPhysicsRetrieval config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 6.862 - type: map_at_10 value: 9.94 - type: map_at_100 value: 10.624 - type: map_at_1000 value: 10.742 - type: map_at_3 value: 8.690000000000001 - type: map_at_5 value: 9.372 - type: mrr_at_1 value: 8.469999999999999 - type: mrr_at_10 value: 12.328999999999999 - type: mrr_at_100 value: 13.035 - type: mrr_at_1000 value: 13.123999999999999 - type: mrr_at_3 value: 10.828 - type: mrr_at_5 value: 11.752 - type: ndcg_at_1 value: 8.469999999999999 - type: ndcg_at_10 value: 12.377 - type: ndcg_at_100 value: 16.151 - type: ndcg_at_1000 value: 19.580000000000002 - type: ndcg_at_3 value: 9.964 - type: ndcg_at_5 value: 11.137 - type: precision_at_1 value: 8.469999999999999 - type: precision_at_10 value: 2.4250000000000003 - type: precision_at_100 value: 0.5479999999999999 - type: precision_at_1000 value: 0.10300000000000001 - type: precision_at_3 value: 4.812 - type: precision_at_5 value: 3.7539999999999996 - type: recall_at_1 value: 6.862 - type: recall_at_10 value: 17.59 - type: recall_at_100 value: 34.557 - type: recall_at_1000 value: 59.78099999999999 - type: recall_at_3 value: 10.838000000000001 - type: recall_at_5 value: 13.8 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackProgrammersRetrieval config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 4.569 - type: map_at_10 value: 6.9190000000000005 - type: map_at_100 value: 7.435 - type: map_at_1000 value: 7.553999999999999 - type: map_at_3 value: 6.0409999999999995 - type: map_at_5 value: 6.4159999999999995 - type: mrr_at_1 value: 5.822 - type: mrr_at_10 value: 8.639 - type: mrr_at_100 value: 9.195 - type: mrr_at_1000 value: 9.292 - type: mrr_at_3 value: 7.571999999999999 - type: mrr_at_5 value: 8.04 - type: ndcg_at_1 value: 5.822 - type: ndcg_at_10 value: 8.808 - type: ndcg_at_100 value: 11.846 - type: ndcg_at_1000 value: 15.476 - type: ndcg_at_3 value: 6.995 - type: ndcg_at_5 value: 7.5920000000000005 - type: precision_at_1 value: 5.822 - type: precision_at_10 value: 1.7469999999999999 - type: precision_at_100 value: 0.398 - type: precision_at_1000 value: 0.08800000000000001 - type: precision_at_3 value: 3.4250000000000003 - type: precision_at_5 value: 2.489 - type: recall_at_1 value: 4.569 - type: recall_at_10 value: 13.035 - type: recall_at_100 value: 27.102999999999998 - type: recall_at_1000 value: 54.137 - type: recall_at_3 value: 7.839 - type: recall_at_5 value: 9.469 - task: type: Retrieval dataset: type: mteb/cqadupstack name: MTEB CQADupstackRetrieval config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 6.289666666666665 - type: map_at_10 value: 8.76325 - type: map_at_100 value: 9.314083333333333 - type: map_at_1000 value: 9.419 - type: map_at_3 value: 7.856916666666668 - type: map_at_5 value: 8.359333333333334 - type: mrr_at_1 value: 7.752333333333332 - type: mrr_at_10 value: 10.620333333333333 - type: mrr_at_100 value: 11.191083333333333 - type: mrr_at_1000 value: 11.2795 - type: mrr_at_3 value: 9.572916666666668 - type: mrr_at_5 value: 10.152499999999998 - type: ndcg_at_1 value: 7.752333333333332 - type: ndcg_at_10 value: 10.657000000000002 - type: ndcg_at_100 value: 13.755166666666666 - type: ndcg_at_1000 value: 16.9275 - type: ndcg_at_3 value: 8.904916666666665 - type: ndcg_at_5 value: 9.709083333333334 - type: precision_at_1 value: 7.752333333333332 - type: precision_at_10 value: 1.969166666666667 - type: precision_at_100 value: 0.42624999999999996 - type: precision_at_1000 value: 0.08475000000000002 - type: precision_at_3 value: 4.182 - type: precision_at_5 value: 3.0942499999999997 - type: recall_at_1 value: 6.289666666666665 - type: recall_at_10 value: 14.695083333333333 - type: recall_at_100 value: 29.238666666666663 - type: recall_at_1000 value: 53.20016666666667 - type: recall_at_3 value: 9.667 - type: recall_at_5 value: 11.766416666666666 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackStatsRetrieval config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 5.188000000000001 - type: map_at_10 value: 6.97 - type: map_at_100 value: 7.380000000000001 - type: map_at_1000 value: 7.446999999999999 - type: map_at_3 value: 6.357 - type: map_at_5 value: 6.736000000000001 - type: mrr_at_1 value: 6.748 - type: mrr_at_10 value: 8.885 - type: mrr_at_100 value: 9.285 - type: mrr_at_1000 value: 9.353 - type: mrr_at_3 value: 8.206 - type: mrr_at_5 value: 8.689 - type: ndcg_at_1 value: 6.748 - type: ndcg_at_10 value: 8.394 - type: ndcg_at_100 value: 10.554 - type: ndcg_at_1000 value: 12.786 - type: ndcg_at_3 value: 7.227 - type: ndcg_at_5 value: 7.878 - type: precision_at_1 value: 6.748 - type: precision_at_10 value: 1.442 - type: precision_at_100 value: 0.27799999999999997 - type: precision_at_1000 value: 0.052 - type: precision_at_3 value: 3.3230000000000004 - type: precision_at_5 value: 2.4539999999999997 - type: recall_at_1 value: 5.188000000000001 - type: recall_at_10 value: 11.109 - type: recall_at_100 value: 21.134 - type: recall_at_1000 value: 38.686 - type: recall_at_3 value: 7.795000000000001 - type: recall_at_5 value: 9.435 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackTexRetrieval config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 3.4070000000000005 - type: map_at_10 value: 4.735 - type: map_at_100 value: 5.083 - type: map_at_1000 value: 5.162 - type: map_at_3 value: 4.261 - type: map_at_5 value: 4.504 - type: mrr_at_1 value: 4.1290000000000004 - type: mrr_at_10 value: 5.792 - type: mrr_at_100 value: 6.209 - type: mrr_at_1000 value: 6.283999999999999 - type: mrr_at_3 value: 5.173 - type: mrr_at_5 value: 5.505 - type: ndcg_at_1 value: 4.1290000000000004 - type: ndcg_at_10 value: 5.8020000000000005 - type: ndcg_at_100 value: 7.861 - type: ndcg_at_1000 value: 10.495000000000001 - type: ndcg_at_3 value: 4.79 - type: ndcg_at_5 value: 5.2299999999999995 - type: precision_at_1 value: 4.1290000000000004 - type: precision_at_10 value: 1.084 - type: precision_at_100 value: 0.262 - type: precision_at_1000 value: 0.06 - type: precision_at_3 value: 2.237 - type: precision_at_5 value: 1.6789999999999998 - type: recall_at_1 value: 3.4070000000000005 - type: recall_at_10 value: 8.057 - type: recall_at_100 value: 17.662 - type: recall_at_1000 value: 37.738 - type: recall_at_3 value: 5.27 - type: recall_at_5 value: 6.314 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackUnixRetrieval config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 5.559 - type: map_at_10 value: 7.374 - type: map_at_100 value: 7.9159999999999995 - type: map_at_1000 value: 8.007 - type: map_at_3 value: 6.882000000000001 - type: map_at_5 value: 7.1209999999999996 - type: mrr_at_1 value: 6.622999999999999 - type: mrr_at_10 value: 8.873000000000001 - type: mrr_at_100 value: 9.478 - type: mrr_at_1000 value: 9.562 - type: mrr_at_3 value: 8.256 - type: mrr_at_5 value: 8.535 - type: ndcg_at_1 value: 6.622999999999999 - type: ndcg_at_10 value: 8.738999999999999 - type: ndcg_at_100 value: 11.931 - type: ndcg_at_1000 value: 14.862 - type: ndcg_at_3 value: 7.713 - type: ndcg_at_5 value: 8.116 - type: precision_at_1 value: 6.622999999999999 - type: precision_at_10 value: 1.493 - type: precision_at_100 value: 0.361 - type: precision_at_1000 value: 0.06899999999999999 - type: precision_at_3 value: 3.6069999999999998 - type: precision_at_5 value: 2.463 - type: recall_at_1 value: 5.559 - type: recall_at_10 value: 11.509 - type: recall_at_100 value: 26.573 - type: recall_at_1000 value: 49.16 - type: recall_at_3 value: 8.468 - type: recall_at_5 value: 9.64 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWebmastersRetrieval config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 7.291 - type: map_at_10 value: 9.99 - type: map_at_100 value: 10.659 - type: map_at_1000 value: 10.793999999999999 - type: map_at_3 value: 8.968 - type: map_at_5 value: 9.59 - type: mrr_at_1 value: 9.684 - type: mrr_at_10 value: 12.812000000000001 - type: mrr_at_100 value: 13.482 - type: mrr_at_1000 value: 13.575999999999999 - type: mrr_at_3 value: 11.561 - type: mrr_at_5 value: 12.232999999999999 - type: ndcg_at_1 value: 9.684 - type: ndcg_at_10 value: 12.281 - type: ndcg_at_100 value: 15.994 - type: ndcg_at_1000 value: 19.578 - type: ndcg_at_3 value: 10.525 - type: ndcg_at_5 value: 11.349 - type: precision_at_1 value: 9.684 - type: precision_at_10 value: 2.451 - type: precision_at_100 value: 0.5910000000000001 - type: precision_at_1000 value: 0.132 - type: precision_at_3 value: 5.138 - type: precision_at_5 value: 3.794 - type: recall_at_1 value: 7.291 - type: recall_at_10 value: 16.28 - type: recall_at_100 value: 34.432 - type: recall_at_1000 value: 60.155 - type: recall_at_3 value: 10.767 - type: recall_at_5 value: 13.156 - task: type: Retrieval dataset: type: None name: MTEB CQADupstackWordpressRetrieval config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 4.35 - type: map_at_10 value: 6.737 - type: map_at_100 value: 7.155 - type: map_at_1000 value: 7.257 - type: map_at_3 value: 6.0409999999999995 - type: map_at_5 value: 6.497 - type: mrr_at_1 value: 5.36 - type: mrr_at_10 value: 7.831 - type: mrr_at_100 value: 8.268 - type: mrr_at_1000 value: 8.373999999999999 - type: mrr_at_3 value: 7.086 - type: mrr_at_5 value: 7.529 - type: ndcg_at_1 value: 5.36 - type: ndcg_at_10 value: 8.179 - type: ndcg_at_100 value: 10.764999999999999 - type: ndcg_at_1000 value: 14.208000000000002 - type: ndcg_at_3 value: 6.762 - type: ndcg_at_5 value: 7.555000000000001 - type: precision_at_1 value: 5.36 - type: precision_at_10 value: 1.405 - type: precision_at_100 value: 0.292 - type: precision_at_1000 value: 0.066 - type: precision_at_3 value: 3.1419999999999995 - type: precision_at_5 value: 2.329 - type: recall_at_1 value: 4.35 - type: recall_at_10 value: 11.599 - type: recall_at_100 value: 24.606 - type: recall_at_1000 value: 52.128 - type: recall_at_3 value: 7.745 - type: recall_at_5 value: 9.747 - task: type: Retrieval dataset: type: None name: MTEB ClimateFEVER config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 1.496 - type: map_at_10 value: 2.412 - type: map_at_100 value: 2.899 - type: map_at_1000 value: 2.996 - type: map_at_3 value: 1.9949999999999999 - type: map_at_5 value: 2.171 - type: mrr_at_1 value: 3.1919999999999997 - type: mrr_at_10 value: 5.2589999999999995 - type: mrr_at_100 value: 6.053 - type: mrr_at_1000 value: 6.142 - type: mrr_at_3 value: 4.376 - type: mrr_at_5 value: 4.793 - type: ndcg_at_1 value: 3.1919999999999997 - type: ndcg_at_10 value: 3.81 - type: ndcg_at_100 value: 6.822 - type: ndcg_at_1000 value: 9.649000000000001 - type: ndcg_at_3 value: 2.817 - type: ndcg_at_5 value: 3.114 - type: precision_at_1 value: 3.1919999999999997 - type: precision_at_10 value: 1.29 - type: precision_at_100 value: 0.45199999999999996 - type: precision_at_1000 value: 0.097 - type: precision_at_3 value: 2.085 - type: precision_at_5 value: 1.6680000000000001 - type: recall_at_1 value: 1.496 - type: recall_at_10 value: 5.053 - type: recall_at_100 value: 16.066 - type: recall_at_1000 value: 32.796 - type: recall_at_3 value: 2.662 - type: recall_at_5 value: 3.434 - task: type: Retrieval dataset: type: None name: MTEB DBPedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 0.473 - type: map_at_10 value: 1.149 - type: map_at_100 value: 1.614 - type: map_at_1000 value: 1.7760000000000002 - type: map_at_3 value: 0.808 - type: map_at_5 value: 0.9520000000000001 - type: mrr_at_1 value: 9.0 - type: mrr_at_10 value: 13.528 - type: mrr_at_100 value: 14.567 - type: mrr_at_1000 value: 14.648 - type: mrr_at_3 value: 12.417 - type: mrr_at_5 value: 13.129 - type: ndcg_at_1 value: 6.375 - type: ndcg_at_10 value: 4.561 - type: ndcg_at_100 value: 5.412 - type: ndcg_at_1000 value: 8.173 - type: ndcg_at_3 value: 5.882 - type: ndcg_at_5 value: 5.16 - type: precision_at_1 value: 9.0 - type: precision_at_10 value: 4.45 - type: precision_at_100 value: 1.53 - type: precision_at_1000 value: 0.41000000000000003 - type: precision_at_3 value: 7.667 - type: precision_at_5 value: 6.1 - type: recall_at_1 value: 0.473 - type: recall_at_10 value: 2.11 - type: recall_at_100 value: 6.957000000000001 - type: recall_at_1000 value: 16.188 - type: recall_at_3 value: 1.031 - type: recall_at_5 value: 1.447 - task: type: Classification dataset: type: None name: MTEB EmotionClassification config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 36.510000000000005 - type: f1 value: 32.55269059609507 - task: type: Retrieval dataset: type: None name: MTEB FEVER config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 1.735 - type: map_at_10 value: 2.7969999999999997 - type: map_at_100 value: 3.0300000000000002 - type: map_at_1000 value: 3.078 - type: map_at_3 value: 2.408 - type: map_at_5 value: 2.62 - type: mrr_at_1 value: 1.83 - type: mrr_at_10 value: 2.946 - type: mrr_at_100 value: 3.196 - type: mrr_at_1000 value: 3.2460000000000004 - type: mrr_at_3 value: 2.54 - type: mrr_at_5 value: 2.768 - type: ndcg_at_1 value: 1.83 - type: ndcg_at_10 value: 3.481 - type: ndcg_at_100 value: 4.9110000000000005 - type: ndcg_at_1000 value: 6.553000000000001 - type: ndcg_at_3 value: 2.661 - type: ndcg_at_5 value: 3.052 - type: precision_at_1 value: 1.83 - type: precision_at_10 value: 0.59 - type: precision_at_100 value: 0.13899999999999998 - type: precision_at_1000 value: 0.029 - type: precision_at_3 value: 1.16 - type: precision_at_5 value: 0.897 - type: recall_at_1 value: 1.735 - type: recall_at_10 value: 5.514 - type: recall_at_100 value: 12.671 - type: recall_at_1000 value: 26.081 - type: recall_at_3 value: 3.2649999999999997 - type: recall_at_5 value: 4.205 - task: type: Retrieval dataset: type: None name: MTEB FiQA2018 config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 1.8519999999999999 - type: map_at_10 value: 3.3000000000000003 - type: map_at_100 value: 3.7699999999999996 - type: map_at_1000 value: 3.904 - type: map_at_3 value: 2.665 - type: map_at_5 value: 2.991 - type: mrr_at_1 value: 3.8580000000000005 - type: mrr_at_10 value: 6.611000000000001 - type: mrr_at_100 value: 7.244000000000001 - type: mrr_at_1000 value: 7.356999999999999 - type: mrr_at_3 value: 5.607 - type: mrr_at_5 value: 6.101 - type: ndcg_at_1 value: 3.8580000000000005 - type: ndcg_at_10 value: 5.081 - type: ndcg_at_100 value: 8.054 - type: ndcg_at_1000 value: 12.078999999999999 - type: ndcg_at_3 value: 3.934 - type: ndcg_at_5 value: 4.349 - type: precision_at_1 value: 3.8580000000000005 - type: precision_at_10 value: 1.6199999999999999 - type: precision_at_100 value: 0.477 - type: precision_at_1000 value: 0.11399999999999999 - type: precision_at_3 value: 2.881 - type: precision_at_5 value: 2.253 - type: recall_at_1 value: 1.8519999999999999 - type: recall_at_10 value: 7.109999999999999 - type: recall_at_100 value: 19.224 - type: recall_at_1000 value: 45.913 - type: recall_at_3 value: 3.6839999999999997 - type: recall_at_5 value: 4.999 - task: type: Retrieval dataset: type: None name: MTEB HotpotQA config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 1.789 - type: map_at_10 value: 2.761 - type: map_at_100 value: 2.997 - type: map_at_1000 value: 3.05 - type: map_at_3 value: 2.4330000000000003 - type: map_at_5 value: 2.612 - type: mrr_at_1 value: 3.579 - type: mrr_at_10 value: 5.311 - type: mrr_at_100 value: 5.692 - type: mrr_at_1000 value: 5.762 - type: mrr_at_3 value: 4.718 - type: mrr_at_5 value: 5.035 - type: ndcg_at_1 value: 3.579 - type: ndcg_at_10 value: 3.988 - type: ndcg_at_100 value: 5.508 - type: ndcg_at_1000 value: 7.3340000000000005 - type: ndcg_at_3 value: 3.183 - type: ndcg_at_5 value: 3.5589999999999997 - type: precision_at_1 value: 3.579 - type: precision_at_10 value: 1.002 - type: precision_at_100 value: 0.22599999999999998 - type: precision_at_1000 value: 0.047 - type: precision_at_3 value: 2.116 - type: precision_at_5 value: 1.569 - type: recall_at_1 value: 1.789 - type: recall_at_10 value: 5.01 - type: recall_at_100 value: 11.296000000000001 - type: recall_at_1000 value: 23.733999999999998 - type: recall_at_3 value: 3.174 - type: recall_at_5 value: 3.923 - task: type: Classification dataset: type: None name: MTEB ImdbClassification config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 64.362 - type: ap value: 59.55580844913024 - type: f1 value: 64.25451691590179 - task: type: Retrieval dataset: type: None name: MTEB MSMARCO config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 1.719 - type: map_at_10 value: 2.812 - type: map_at_100 value: 3.124 - type: map_at_1000 value: 3.18 - type: map_at_3 value: 2.4 - type: map_at_5 value: 2.598 - type: mrr_at_1 value: 1.7770000000000001 - type: mrr_at_10 value: 2.889 - type: mrr_at_100 value: 3.211 - type: mrr_at_1000 value: 3.2680000000000002 - type: mrr_at_3 value: 2.467 - type: mrr_at_5 value: 2.67 - type: ndcg_at_1 value: 1.762 - type: ndcg_at_10 value: 3.52 - type: ndcg_at_100 value: 5.343 - type: ndcg_at_1000 value: 7.217999999999999 - type: ndcg_at_3 value: 2.64 - type: ndcg_at_5 value: 2.9979999999999998 - type: precision_at_1 value: 1.762 - type: precision_at_10 value: 0.5950000000000001 - type: precision_at_100 value: 0.155 - type: precision_at_1000 value: 0.032 - type: precision_at_3 value: 1.127 - type: precision_at_5 value: 0.857 - type: recall_at_1 value: 1.719 - type: recall_at_10 value: 5.743 - type: recall_at_100 value: 14.89 - type: recall_at_1000 value: 30.267 - type: recall_at_3 value: 3.2779999999999996 - type: recall_at_5 value: 4.136 - task: type: Classification dataset: type: None name: MTEB MTOPDomainClassification (en) config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 80.50615595075239 - type: f1 value: 80.1136210996985 - task: type: Classification dataset: type: None name: MTEB MTOPIntentClassification (en) config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 54.031007751937985 - type: f1 value: 34.910049182212575 - task: type: Classification dataset: type: None name: MTEB MassiveIntentClassification (en) config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 54.96973772696705 - type: f1 value: 51.482021499786136 - task: type: Classification dataset: type: None name: MTEB MassiveScenarioClassification (en) config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 63.19771351714862 - type: f1 value: 61.16551291933069 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringP2P config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 23.502491371355365 - task: type: Clustering dataset: type: None name: MTEB MedrxivClusteringS2S config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 20.04508433667435 - task: type: Reranking dataset: type: None name: MTEB MindSmallReranking config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 27.223268042111425 - type: mrr value: 27.804265249287663 - task: type: Retrieval dataset: type: None name: MTEB NFCorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 0.438 - type: map_at_10 value: 1.414 - type: map_at_100 value: 2.027 - type: map_at_1000 value: 2.866 - type: map_at_3 value: 0.9690000000000001 - type: map_at_5 value: 1.214 - type: mrr_at_1 value: 8.978 - type: mrr_at_10 value: 16.274 - type: mrr_at_100 value: 17.544999999999998 - type: mrr_at_1000 value: 17.649 - type: mrr_at_3 value: 13.674 - type: mrr_at_5 value: 15.021 - type: ndcg_at_1 value: 8.514 - type: ndcg_at_10 value: 7.301 - type: ndcg_at_100 value: 8.613999999999999 - type: ndcg_at_1000 value: 18.851000000000003 - type: ndcg_at_3 value: 8.193 - type: ndcg_at_5 value: 7.747999999999999 - type: precision_at_1 value: 8.978 - type: precision_at_10 value: 5.913 - type: precision_at_100 value: 3.198 - type: precision_at_1000 value: 1.6 - type: precision_at_3 value: 8.256 - type: precision_at_5 value: 7.1209999999999996 - type: recall_at_1 value: 0.438 - type: recall_at_10 value: 3.5360000000000005 - type: recall_at_100 value: 12.414 - type: recall_at_1000 value: 47.949000000000005 - type: recall_at_3 value: 1.462 - type: recall_at_5 value: 2.4299999999999997 - task: type: Retrieval dataset: type: None name: MTEB NQ config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 2.2640000000000002 - type: map_at_10 value: 3.6859999999999995 - type: map_at_100 value: 4.071000000000001 - type: map_at_1000 value: 4.141 - type: map_at_3 value: 3.136 - type: map_at_5 value: 3.4130000000000003 - type: mrr_at_1 value: 2.52 - type: mrr_at_10 value: 4.093 - type: mrr_at_100 value: 4.51 - type: mrr_at_1000 value: 4.583 - type: mrr_at_3 value: 3.4909999999999997 - type: mrr_at_5 value: 3.791 - type: ndcg_at_1 value: 2.52 - type: ndcg_at_10 value: 4.696 - type: ndcg_at_100 value: 6.914 - type: ndcg_at_1000 value: 9.264999999999999 - type: ndcg_at_3 value: 3.5159999999999996 - type: ndcg_at_5 value: 4.026 - type: precision_at_1 value: 2.52 - type: precision_at_10 value: 0.855 - type: precision_at_100 value: 0.211 - type: precision_at_1000 value: 0.044000000000000004 - type: precision_at_3 value: 1.6420000000000001 - type: precision_at_5 value: 1.257 - type: recall_at_1 value: 2.2640000000000002 - type: recall_at_10 value: 7.478999999999999 - type: recall_at_100 value: 18.163 - type: recall_at_1000 value: 36.846000000000004 - type: recall_at_3 value: 4.268000000000001 - type: recall_at_5 value: 5.485 - task: type: Retrieval dataset: type: None name: MTEB QuoraRetrieval config: default split: test revision: None metrics: - type: map_at_1 value: 44.559 - type: map_at_10 value: 53.623 - type: map_at_100 value: 54.513999999999996 - type: map_at_1000 value: 54.584999999999994 - type: map_at_3 value: 51.229 - type: map_at_5 value: 52.635 - type: mrr_at_1 value: 51.23 - type: mrr_at_10 value: 58.431999999999995 - type: mrr_at_100 value: 59.00300000000001 - type: mrr_at_1000 value: 59.036 - type: mrr_at_3 value: 56.61000000000001 - type: mrr_at_5 value: 57.730000000000004 - type: ndcg_at_1 value: 51.28 - type: ndcg_at_10 value: 58.306000000000004 - type: ndcg_at_100 value: 61.915 - type: ndcg_at_1000 value: 63.343 - type: ndcg_at_3 value: 54.608000000000004 - type: ndcg_at_5 value: 56.431 - type: precision_at_1 value: 51.28 - type: precision_at_10 value: 8.755 - type: precision_at_100 value: 1.17 - type: precision_at_1000 value: 0.13899999999999998 - type: precision_at_3 value: 23.297 - type: precision_at_5 value: 15.598 - type: recall_at_1 value: 44.559 - type: recall_at_10 value: 67.491 - type: recall_at_100 value: 82.938 - type: recall_at_1000 value: 92.72200000000001 - type: recall_at_3 value: 56.952999999999996 - type: recall_at_5 value: 61.83 - task: type: Clustering dataset: type: None name: MTEB RedditClustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 22.705180109905008 - task: type: Clustering dataset: type: None name: MTEB RedditClusteringP2P config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 34.83434688813055 - task: type: Retrieval dataset: type: None name: MTEB SCIDOCS config: default split: test revision: None metrics: - type: map_at_1 value: 1.13 - type: map_at_10 value: 2.4570000000000003 - type: map_at_100 value: 3.048 - type: map_at_1000 value: 3.234 - type: map_at_3 value: 1.802 - type: map_at_5 value: 2.078 - type: mrr_at_1 value: 5.6000000000000005 - type: mrr_at_10 value: 9.468 - type: mrr_at_100 value: 10.472 - type: mrr_at_1000 value: 10.605 - type: mrr_at_3 value: 7.7829999999999995 - type: mrr_at_5 value: 8.468 - type: ndcg_at_1 value: 5.6000000000000005 - type: ndcg_at_10 value: 4.936999999999999 - type: ndcg_at_100 value: 8.597000000000001 - type: ndcg_at_1000 value: 13.508999999999999 - type: ndcg_at_3 value: 4.345000000000001 - type: ndcg_at_5 value: 3.782 - type: precision_at_1 value: 5.6000000000000005 - type: precision_at_10 value: 2.68 - type: precision_at_100 value: 0.814 - type: precision_at_1000 value: 0.201 - type: precision_at_3 value: 4.0 - type: precision_at_5 value: 3.2800000000000002 - type: recall_at_1 value: 1.13 - type: recall_at_10 value: 5.457999999999999 - type: recall_at_100 value: 16.533 - type: recall_at_1000 value: 40.983000000000004 - type: recall_at_3 value: 2.44 - type: recall_at_5 value: 3.343 - task: type: STS dataset: type: None name: MTEB SICK-R config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 73.60605619256489 - type: cos_sim_spearman value: 67.90225840700592 - type: euclidean_pearson value: 72.33353541178548 - type: euclidean_spearman value: 67.9022659941869 - type: manhattan_pearson value: 72.05976338595539 - type: manhattan_spearman value: 67.56691734710643 - task: type: STS dataset: type: None name: MTEB STS12 config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 64.53970557195757 - type: cos_sim_spearman value: 57.30488503100292 - type: euclidean_pearson value: 61.892226450716926 - type: euclidean_spearman value: 57.30614347479237 - type: manhattan_pearson value: 62.211926976767394 - type: manhattan_spearman value: 57.68789726090663 - task: type: STS dataset: type: None name: MTEB STS13 config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - 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type: max_f1 value: 71.13646466143133 ---