| --- |
| tags: |
| - mteb |
| model-index: |
| - name: nomic_classification |
| results: |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB AmazonCounterfactualClassification (en) |
| config: en |
| split: test |
| revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
| metrics: |
| - type: accuracy |
| value: 71.86567164179104 |
| - type: ap |
| value: 34.245594561996064 |
| - type: f1 |
| value: 65.69023935040455 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB AmazonPolarityClassification |
| config: default |
| split: test |
| revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
| metrics: |
| - type: accuracy |
| value: 65.190925 |
| - type: ap |
| value: 60.21626939955754 |
| - type: f1 |
| value: 64.943414550771 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB AmazonReviewsClassification (en) |
| config: en |
| split: test |
| revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
| metrics: |
| - type: accuracy |
| value: 34.529999999999994 |
| - type: f1 |
| value: 34.01639094527221 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB ArguAna |
| config: default |
| split: test |
| revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
| metrics: |
| - type: map_at_1 |
| value: 21.55 |
| - type: map_at_10 |
| value: 35.416 |
| - type: map_at_100 |
| value: 36.602000000000004 |
| - type: map_at_1000 |
| value: 36.625 |
| - type: map_at_3 |
| value: 30.725 |
| - type: map_at_5 |
| value: 33.35 |
| - type: mrr_at_1 |
| value: 21.906 |
| - type: mrr_at_10 |
| value: 35.553000000000004 |
| - type: mrr_at_100 |
| value: 36.746 |
| - type: mrr_at_1000 |
| value: 36.769 |
| - type: mrr_at_3 |
| value: 30.819999999999997 |
| - type: mrr_at_5 |
| value: 33.495000000000005 |
| - type: ndcg_at_1 |
| value: 21.55 |
| - type: ndcg_at_10 |
| value: 43.527 |
| - type: ndcg_at_100 |
| value: 49.025 |
| - type: ndcg_at_1000 |
| value: 49.586999999999996 |
| - type: ndcg_at_3 |
| value: 33.772000000000006 |
| - type: ndcg_at_5 |
| value: 38.57 |
| - type: precision_at_1 |
| value: 21.55 |
| - type: precision_at_10 |
| value: 6.963 |
| - type: precision_at_100 |
| value: 0.947 |
| - type: precision_at_1000 |
| value: 0.099 |
| - type: precision_at_3 |
| value: 14.201 |
| - type: precision_at_5 |
| value: 10.882 |
| - type: recall_at_1 |
| value: 21.55 |
| - type: recall_at_10 |
| value: 69.63000000000001 |
| - type: recall_at_100 |
| value: 94.73700000000001 |
| - type: recall_at_1000 |
| value: 99.075 |
| - type: recall_at_3 |
| value: 42.603 |
| - type: recall_at_5 |
| value: 54.410000000000004 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB ArxivClusteringP2P |
| config: default |
| split: test |
| revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
| metrics: |
| - type: v_measure |
| value: 34.411339757911335 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB ArxivClusteringS2S |
| config: default |
| split: test |
| revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
| metrics: |
| - type: v_measure |
| value: 24.489247458031933 |
| - task: |
| type: Reranking |
| dataset: |
| type: None |
| name: MTEB AskUbuntuDupQuestions |
| config: default |
| split: test |
| revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
| metrics: |
| - type: map |
| value: 53.582468551652696 |
| - type: mrr |
| value: 68.10425185771446 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB BIOSSES |
| config: default |
| split: test |
| revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
| metrics: |
| - type: cos_sim_pearson |
| value: 81.96093442776794 |
| - type: cos_sim_spearman |
| value: 79.80362560866212 |
| - type: euclidean_pearson |
| value: 81.2337598243594 |
| - type: euclidean_spearman |
| value: 79.80362560866212 |
| - type: manhattan_pearson |
| value: 80.54695854084805 |
| - type: manhattan_spearman |
| value: 79.70904514032895 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB Banking77Classification |
| config: default |
| split: test |
| revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
| metrics: |
| - type: accuracy |
| value: 73.23051948051948 |
| - type: f1 |
| value: 72.48430722973309 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB BiorxivClusteringP2P |
| config: default |
| split: test |
| revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
| metrics: |
| - type: v_measure |
| value: 32.40784337223032 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB BiorxivClusteringS2S |
| config: default |
| split: test |
| revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
| metrics: |
| - type: v_measure |
| value: 23.628387342867686 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackAndroidRetrieval |
| config: default |
| split: test |
| revision: f46a197baaae43b4f621051089b82a364682dfeb |
| metrics: |
| - type: map_at_1 |
| value: 21.909 |
| - type: map_at_10 |
| value: 30.186 |
| - type: map_at_100 |
| value: 31.301000000000002 |
| - type: map_at_1000 |
| value: 31.457 |
| - type: map_at_3 |
| value: 27.752 |
| - type: map_at_5 |
| value: 29.255 |
| - type: mrr_at_1 |
| value: 27.467999999999996 |
| - type: mrr_at_10 |
| value: 35.655 |
| - type: mrr_at_100 |
| value: 36.535000000000004 |
| - type: mrr_at_1000 |
| value: 36.608000000000004 |
| - type: mrr_at_3 |
| value: 33.882 |
| - type: mrr_at_5 |
| value: 34.961999999999996 |
| - type: ndcg_at_1 |
| value: 27.467999999999996 |
| - type: ndcg_at_10 |
| value: 35.17 |
| - type: ndcg_at_100 |
| value: 40.136 |
| - type: ndcg_at_1000 |
| value: 43.254999999999995 |
| - type: ndcg_at_3 |
| value: 31.884 |
| - type: ndcg_at_5 |
| value: 33.532000000000004 |
| - type: precision_at_1 |
| value: 27.467999999999996 |
| - type: precision_at_10 |
| value: 6.694999999999999 |
| - type: precision_at_100 |
| value: 1.133 |
| - type: precision_at_1000 |
| value: 0.17099999999999999 |
| - type: precision_at_3 |
| value: 15.689 |
| - type: precision_at_5 |
| value: 11.302 |
| - type: recall_at_1 |
| value: 21.909 |
| - type: recall_at_10 |
| value: 44.008 |
| - type: recall_at_100 |
| value: 65.989 |
| - type: recall_at_1000 |
| value: 87.046 |
| - type: recall_at_3 |
| value: 33.733000000000004 |
| - type: recall_at_5 |
| value: 38.626 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackEnglishRetrieval |
| config: default |
| split: test |
| revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
| metrics: |
| - type: map_at_1 |
| value: 17.623 |
| - type: map_at_10 |
| value: 23.324 |
| - type: map_at_100 |
| value: 24.287 |
| - type: map_at_1000 |
| value: 24.410999999999998 |
| - type: map_at_3 |
| value: 21.392 |
| - type: map_at_5 |
| value: 22.477 |
| - type: mrr_at_1 |
| value: 22.229 |
| - type: mrr_at_10 |
| value: 27.71 |
| - type: mrr_at_100 |
| value: 28.523 |
| - type: mrr_at_1000 |
| value: 28.596 |
| - type: mrr_at_3 |
| value: 25.775 |
| - type: mrr_at_5 |
| value: 26.895999999999997 |
| - type: ndcg_at_1 |
| value: 22.229 |
| - type: ndcg_at_10 |
| value: 27.252 |
| - type: ndcg_at_100 |
| value: 31.616 |
| - type: ndcg_at_1000 |
| value: 34.488 |
| - type: ndcg_at_3 |
| value: 23.926 |
| - type: ndcg_at_5 |
| value: 25.467000000000002 |
| - type: precision_at_1 |
| value: 22.229 |
| - type: precision_at_10 |
| value: 5.032 |
| - type: precision_at_100 |
| value: 0.903 |
| - type: precision_at_1000 |
| value: 0.14100000000000001 |
| - type: precision_at_3 |
| value: 11.359 |
| - type: precision_at_5 |
| value: 8.229000000000001 |
| - type: recall_at_1 |
| value: 17.623 |
| - type: recall_at_10 |
| value: 34.613 |
| - type: recall_at_100 |
| value: 53.784 |
| - type: recall_at_1000 |
| value: 73.289 |
| - type: recall_at_3 |
| value: 25.121 |
| - type: recall_at_5 |
| value: 29.132 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackGamingRetrieval |
| config: default |
| split: test |
| revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
| metrics: |
| - type: map_at_1 |
| value: 26.368000000000002 |
| - type: map_at_10 |
| value: 35.022 |
| - type: map_at_100 |
| value: 36.187999999999995 |
| - type: map_at_1000 |
| value: 36.278 |
| - type: map_at_3 |
| value: 32.594 |
| - type: map_at_5 |
| value: 33.910000000000004 |
| - type: mrr_at_1 |
| value: 30.596 |
| - type: mrr_at_10 |
| value: 38.29 |
| - type: mrr_at_100 |
| value: 39.225 |
| - type: mrr_at_1000 |
| value: 39.28 |
| - type: mrr_at_3 |
| value: 36.019 |
| - type: mrr_at_5 |
| value: 37.285000000000004 |
| - type: ndcg_at_1 |
| value: 30.596 |
| - type: ndcg_at_10 |
| value: 39.788000000000004 |
| - type: ndcg_at_100 |
| value: 45.214 |
| - type: ndcg_at_1000 |
| value: 47.301 |
| - type: ndcg_at_3 |
| value: 35.28 |
| - type: ndcg_at_5 |
| value: 37.368 |
| - type: precision_at_1 |
| value: 30.596 |
| - type: precision_at_10 |
| value: 6.476 |
| - type: precision_at_100 |
| value: 1.004 |
| - type: precision_at_1000 |
| value: 0.126 |
| - type: precision_at_3 |
| value: 15.758 |
| - type: precision_at_5 |
| value: 10.871 |
| - type: recall_at_1 |
| value: 26.368000000000002 |
| - type: recall_at_10 |
| value: 50.973 |
| - type: recall_at_100 |
| value: 75.357 |
| - type: recall_at_1000 |
| value: 90.476 |
| - type: recall_at_3 |
| value: 38.754 |
| - type: recall_at_5 |
| value: 43.958000000000006 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackGisRetrieval |
| config: default |
| split: test |
| revision: 5003b3064772da1887988e05400cf3806fe491f2 |
| metrics: |
| - type: map_at_1 |
| value: 13.277 |
| - type: map_at_10 |
| value: 17.374000000000002 |
| - type: map_at_100 |
| value: 18.182000000000002 |
| - type: map_at_1000 |
| value: 18.291 |
| - type: map_at_3 |
| value: 15.982 |
| - type: map_at_5 |
| value: 16.750999999999998 |
| - type: mrr_at_1 |
| value: 14.463000000000001 |
| - type: mrr_at_10 |
| value: 18.637 |
| - type: mrr_at_100 |
| value: 19.448999999999998 |
| - type: mrr_at_1000 |
| value: 19.552 |
| - type: mrr_at_3 |
| value: 17.232 |
| - type: mrr_at_5 |
| value: 18.006 |
| - type: ndcg_at_1 |
| value: 14.463000000000001 |
| - type: ndcg_at_10 |
| value: 20.063 |
| - type: ndcg_at_100 |
| value: 24.509 |
| - type: ndcg_at_1000 |
| value: 27.875 |
| - type: ndcg_at_3 |
| value: 17.238 |
| - type: ndcg_at_5 |
| value: 18.594 |
| - type: precision_at_1 |
| value: 14.463000000000001 |
| - type: precision_at_10 |
| value: 3.0620000000000003 |
| - type: precision_at_100 |
| value: 0.563 |
| - type: precision_at_1000 |
| value: 0.09 |
| - type: precision_at_3 |
| value: 7.269 |
| - type: precision_at_5 |
| value: 5.106999999999999 |
| - type: recall_at_1 |
| value: 13.277 |
| - type: recall_at_10 |
| value: 27.250000000000004 |
| - type: recall_at_100 |
| value: 48.553000000000004 |
| - type: recall_at_1000 |
| value: 74.937 |
| - type: recall_at_3 |
| value: 19.586000000000002 |
| - type: recall_at_5 |
| value: 22.853 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackMathematicaRetrieval |
| config: default |
| split: test |
| revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
| metrics: |
| - type: map_at_1 |
| value: 6.497999999999999 |
| - type: map_at_10 |
| value: 9.888 |
| - type: map_at_100 |
| value: 10.645 |
| - type: map_at_1000 |
| value: 10.775 |
| - type: map_at_3 |
| value: 8.673 |
| - type: map_at_5 |
| value: 9.275 |
| - type: mrr_at_1 |
| value: 8.581999999999999 |
| - type: mrr_at_10 |
| value: 12.365 |
| - type: mrr_at_100 |
| value: 13.156 |
| - type: mrr_at_1000 |
| value: 13.257 |
| - type: mrr_at_3 |
| value: 10.883 |
| - type: mrr_at_5 |
| value: 11.616999999999999 |
| - type: ndcg_at_1 |
| value: 8.581999999999999 |
| - type: ndcg_at_10 |
| value: 12.469 |
| - type: ndcg_at_100 |
| value: 16.564 |
| - type: ndcg_at_1000 |
| value: 20.263 |
| - type: ndcg_at_3 |
| value: 10.001999999999999 |
| - type: ndcg_at_5 |
| value: 11.008 |
| - type: precision_at_1 |
| value: 8.581999999999999 |
| - type: precision_at_10 |
| value: 2.413 |
| - type: precision_at_100 |
| value: 0.525 |
| - type: precision_at_1000 |
| value: 0.098 |
| - type: precision_at_3 |
| value: 4.851 |
| - type: precision_at_5 |
| value: 3.6069999999999998 |
| - type: recall_at_1 |
| value: 6.497999999999999 |
| - type: recall_at_10 |
| value: 18.14 |
| - type: recall_at_100 |
| value: 36.699 |
| - type: recall_at_1000 |
| value: 64.044 |
| - type: recall_at_3 |
| value: 11.245 |
| - type: recall_at_5 |
| value: 13.8 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackPhysicsRetrieval |
| config: default |
| split: test |
| revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
| metrics: |
| - type: map_at_1 |
| value: 17.617 |
| - type: map_at_10 |
| value: 23.912 |
| - type: map_at_100 |
| value: 25.165 |
| - type: map_at_1000 |
| value: 25.298 |
| - type: map_at_3 |
| value: 21.953 |
| - type: map_at_5 |
| value: 23.114 |
| - type: mrr_at_1 |
| value: 22.137 |
| - type: mrr_at_10 |
| value: 28.62 |
| - type: mrr_at_100 |
| value: 29.653000000000002 |
| - type: mrr_at_1000 |
| value: 29.73 |
| - type: mrr_at_3 |
| value: 26.58 |
| - type: mrr_at_5 |
| value: 27.836 |
| - type: ndcg_at_1 |
| value: 22.137 |
| - type: ndcg_at_10 |
| value: 28.138 |
| - type: ndcg_at_100 |
| value: 34.032000000000004 |
| - type: ndcg_at_1000 |
| value: 37.022 |
| - type: ndcg_at_3 |
| value: 24.783 |
| - type: ndcg_at_5 |
| value: 26.512 |
| - type: precision_at_1 |
| value: 22.137 |
| - type: precision_at_10 |
| value: 5.101 |
| - type: precision_at_100 |
| value: 0.971 |
| - type: precision_at_1000 |
| value: 0.14200000000000002 |
| - type: precision_at_3 |
| value: 11.709999999999999 |
| - type: precision_at_5 |
| value: 8.488999999999999 |
| - type: recall_at_1 |
| value: 17.617 |
| - type: recall_at_10 |
| value: 36.367 |
| - type: recall_at_100 |
| value: 61.939 |
| - type: recall_at_1000 |
| value: 82.565 |
| - type: recall_at_3 |
| value: 26.651000000000003 |
| - type: recall_at_5 |
| value: 31.312 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackProgrammersRetrieval |
| config: default |
| split: test |
| revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
| metrics: |
| - type: map_at_1 |
| value: 12.742999999999999 |
| - type: map_at_10 |
| value: 18.634999999999998 |
| - type: map_at_100 |
| value: 19.686 |
| - type: map_at_1000 |
| value: 19.825 |
| - type: map_at_3 |
| value: 16.689999999999998 |
| - type: map_at_5 |
| value: 17.785 |
| - type: mrr_at_1 |
| value: 16.096 |
| - type: mrr_at_10 |
| value: 22.177 |
| - type: mrr_at_100 |
| value: 23.058 |
| - type: mrr_at_1000 |
| value: 23.154 |
| - type: mrr_at_3 |
| value: 20.166999999999998 |
| - type: mrr_at_5 |
| value: 21.263 |
| - type: ndcg_at_1 |
| value: 16.096 |
| - type: ndcg_at_10 |
| value: 22.555 |
| - type: ndcg_at_100 |
| value: 27.561000000000003 |
| - type: ndcg_at_1000 |
| value: 31.012 |
| - type: ndcg_at_3 |
| value: 18.897 |
| - type: ndcg_at_5 |
| value: 20.567 |
| - type: precision_at_1 |
| value: 16.096 |
| - type: precision_at_10 |
| value: 4.326 |
| - type: precision_at_100 |
| value: 0.8130000000000001 |
| - type: precision_at_1000 |
| value: 0.129 |
| - type: precision_at_3 |
| value: 9.209 |
| - type: precision_at_5 |
| value: 6.804 |
| - type: recall_at_1 |
| value: 12.742999999999999 |
| - type: recall_at_10 |
| value: 31.034 |
| - type: recall_at_100 |
| value: 52.913 |
| - type: recall_at_1000 |
| value: 77.389 |
| - type: recall_at_3 |
| value: 20.778 |
| - type: recall_at_5 |
| value: 25.112000000000002 |
| - task: |
| type: Retrieval |
| dataset: |
| type: mteb/cqadupstack |
| name: MTEB CQADupstackRetrieval |
| config: default |
| split: test |
| revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
| metrics: |
| - type: map_at_1 |
| value: 14.406833333333333 |
| - type: map_at_10 |
| value: 19.934083333333334 |
| - type: map_at_100 |
| value: 20.85825 |
| - type: map_at_1000 |
| value: 20.98333333333333 |
| - type: map_at_3 |
| value: 18.2575 |
| - type: map_at_5 |
| value: 19.182499999999997 |
| - type: mrr_at_1 |
| value: 17.532666666666668 |
| - type: mrr_at_10 |
| value: 23.07375 |
| - type: mrr_at_100 |
| value: 23.89891666666667 |
| - type: mrr_at_1000 |
| value: 23.984416666666668 |
| - type: mrr_at_3 |
| value: 21.403166666666664 |
| - type: mrr_at_5 |
| value: 22.338 |
| - type: ndcg_at_1 |
| value: 17.532666666666668 |
| - type: ndcg_at_10 |
| value: 23.479833333333332 |
| - type: ndcg_at_100 |
| value: 28.046916666666664 |
| - type: ndcg_at_1000 |
| value: 31.1955 |
| - type: ndcg_at_3 |
| value: 20.464666666666666 |
| - type: ndcg_at_5 |
| value: 21.841500000000003 |
| - type: precision_at_1 |
| value: 17.532666666666668 |
| - type: precision_at_10 |
| value: 4.1924166666666665 |
| - type: precision_at_100 |
| value: 0.7695833333333333 |
| - type: precision_at_1000 |
| value: 0.12216666666666667 |
| - type: precision_at_3 |
| value: 9.573 |
| - type: precision_at_5 |
| value: 6.846333333333334 |
| - type: recall_at_1 |
| value: 14.406833333333333 |
| - type: recall_at_10 |
| value: 31.059000000000005 |
| - type: recall_at_100 |
| value: 51.878999999999984 |
| - type: recall_at_1000 |
| value: 74.73100000000001 |
| - type: recall_at_3 |
| value: 22.483916666666666 |
| - type: recall_at_5 |
| value: 26.078250000000004 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackStatsRetrieval |
| config: default |
| split: test |
| revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
| metrics: |
| - type: map_at_1 |
| value: 10.663 |
| - type: map_at_10 |
| value: 15.082999999999998 |
| - type: map_at_100 |
| value: 15.715000000000002 |
| - type: map_at_1000 |
| value: 15.792 |
| - type: map_at_3 |
| value: 13.69 |
| - type: map_at_5 |
| value: 14.334 |
| - type: mrr_at_1 |
| value: 12.883 |
| - type: mrr_at_10 |
| value: 17.253 |
| - type: mrr_at_100 |
| value: 17.897 |
| - type: mrr_at_1000 |
| value: 17.967 |
| - type: mrr_at_3 |
| value: 15.848999999999998 |
| - type: mrr_at_5 |
| value: 16.516000000000002 |
| - type: ndcg_at_1 |
| value: 12.883 |
| - type: ndcg_at_10 |
| value: 18.035999999999998 |
| - type: ndcg_at_100 |
| value: 21.682000000000002 |
| - type: ndcg_at_1000 |
| value: 24.154 |
| - type: ndcg_at_3 |
| value: 15.343000000000002 |
| - type: ndcg_at_5 |
| value: 16.342000000000002 |
| - type: precision_at_1 |
| value: 12.883 |
| - type: precision_at_10 |
| value: 3.16 |
| - type: precision_at_100 |
| value: 0.5459999999999999 |
| - type: precision_at_1000 |
| value: 0.083 |
| - type: precision_at_3 |
| value: 7.106 |
| - type: precision_at_5 |
| value: 5.0 |
| - type: recall_at_1 |
| value: 10.663 |
| - type: recall_at_10 |
| value: 25.131999999999998 |
| - type: recall_at_100 |
| value: 42.794 |
| - type: recall_at_1000 |
| value: 61.895999999999994 |
| - type: recall_at_3 |
| value: 17.408 |
| - type: recall_at_5 |
| value: 19.972 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackTexRetrieval |
| config: default |
| split: test |
| revision: 46989137a86843e03a6195de44b09deda022eec7 |
| metrics: |
| - type: map_at_1 |
| value: 7.84 |
| - type: map_at_10 |
| value: 11.468 |
| - type: map_at_100 |
| value: 12.093 |
| - type: map_at_1000 |
| value: 12.218 |
| - type: map_at_3 |
| value: 10.407 |
| - type: map_at_5 |
| value: 10.994 |
| - type: mrr_at_1 |
| value: 9.635 |
| - type: mrr_at_10 |
| value: 13.725999999999999 |
| - type: mrr_at_100 |
| value: 14.350999999999999 |
| - type: mrr_at_1000 |
| value: 14.457 |
| - type: mrr_at_3 |
| value: 12.479999999999999 |
| - type: mrr_at_5 |
| value: 13.177 |
| - type: ndcg_at_1 |
| value: 9.635 |
| - type: ndcg_at_10 |
| value: 13.883000000000001 |
| - type: ndcg_at_100 |
| value: 17.405 |
| - type: ndcg_at_1000 |
| value: 20.951 |
| - type: ndcg_at_3 |
| value: 11.841 |
| - type: ndcg_at_5 |
| value: 12.792 |
| - type: precision_at_1 |
| value: 9.635 |
| - type: precision_at_10 |
| value: 2.581 |
| - type: precision_at_100 |
| value: 0.523 |
| - type: precision_at_1000 |
| value: 0.099 |
| - type: precision_at_3 |
| value: 5.689 |
| - type: precision_at_5 |
| value: 4.178 |
| - type: recall_at_1 |
| value: 7.84 |
| - type: recall_at_10 |
| value: 18.947 |
| - type: recall_at_100 |
| value: 35.474 |
| - type: recall_at_1000 |
| value: 61.73800000000001 |
| - type: recall_at_3 |
| value: 13.311 |
| - type: recall_at_5 |
| value: 15.661 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackUnixRetrieval |
| config: default |
| split: test |
| revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
| metrics: |
| - type: map_at_1 |
| value: 12.769 |
| - type: map_at_10 |
| value: 17.686 |
| - type: map_at_100 |
| value: 18.549 |
| - type: map_at_1000 |
| value: 18.672 |
| - type: map_at_3 |
| value: 16.253999999999998 |
| - type: map_at_5 |
| value: 17.000999999999998 |
| - type: mrr_at_1 |
| value: 15.392 |
| - type: mrr_at_10 |
| value: 20.598 |
| - type: mrr_at_100 |
| value: 21.468999999999998 |
| - type: mrr_at_1000 |
| value: 21.567 |
| - type: mrr_at_3 |
| value: 19.061 |
| - type: mrr_at_5 |
| value: 19.835 |
| - type: ndcg_at_1 |
| value: 15.392 |
| - type: ndcg_at_10 |
| value: 20.961 |
| - type: ndcg_at_100 |
| value: 25.308000000000003 |
| - type: ndcg_at_1000 |
| value: 28.685 |
| - type: ndcg_at_3 |
| value: 18.151 |
| - type: ndcg_at_5 |
| value: 19.317999999999998 |
| - type: precision_at_1 |
| value: 15.392 |
| - type: precision_at_10 |
| value: 3.582 |
| - type: precision_at_100 |
| value: 0.628 |
| - type: precision_at_1000 |
| value: 0.104 |
| - type: precision_at_3 |
| value: 8.396 |
| - type: precision_at_5 |
| value: 5.821 |
| - type: recall_at_1 |
| value: 12.769 |
| - type: recall_at_10 |
| value: 28.26 |
| - type: recall_at_100 |
| value: 47.811 |
| - type: recall_at_1000 |
| value: 72.509 |
| - type: recall_at_3 |
| value: 20.357 |
| - type: recall_at_5 |
| value: 23.401 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackWebmastersRetrieval |
| config: default |
| split: test |
| revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
| metrics: |
| - type: map_at_1 |
| value: 14.102 |
| - type: map_at_10 |
| value: 20.848 |
| - type: map_at_100 |
| value: 21.936 |
| - type: map_at_1000 |
| value: 22.125 |
| - type: map_at_3 |
| value: 19.093 |
| - type: map_at_5 |
| value: 20.074 |
| - type: mrr_at_1 |
| value: 17.787 |
| - type: mrr_at_10 |
| value: 24.442 |
| - type: mrr_at_100 |
| value: 25.296999999999997 |
| - type: mrr_at_1000 |
| value: 25.377 |
| - type: mrr_at_3 |
| value: 22.858999999999998 |
| - type: mrr_at_5 |
| value: 23.827 |
| - type: ndcg_at_1 |
| value: 17.787 |
| - type: ndcg_at_10 |
| value: 25.006 |
| - type: ndcg_at_100 |
| value: 29.798000000000002 |
| - type: ndcg_at_1000 |
| value: 33.355000000000004 |
| - type: ndcg_at_3 |
| value: 22.293 |
| - type: ndcg_at_5 |
| value: 23.555 |
| - type: precision_at_1 |
| value: 17.787 |
| - type: precision_at_10 |
| value: 4.96 |
| - type: precision_at_100 |
| value: 1.083 |
| - type: precision_at_1000 |
| value: 0.192 |
| - type: precision_at_3 |
| value: 11.001 |
| - type: precision_at_5 |
| value: 7.904999999999999 |
| - type: recall_at_1 |
| value: 14.102 |
| - type: recall_at_10 |
| value: 32.765 |
| - type: recall_at_100 |
| value: 55.206 |
| - type: recall_at_1000 |
| value: 79.739 |
| - type: recall_at_3 |
| value: 24.52 |
| - type: recall_at_5 |
| value: 28.175 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB CQADupstackWordpressRetrieval |
| config: default |
| split: test |
| revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
| metrics: |
| - type: map_at_1 |
| value: 11.472999999999999 |
| - type: map_at_10 |
| value: 15.783 |
| - type: map_at_100 |
| value: 16.552 |
| - type: map_at_1000 |
| value: 16.658 |
| - type: map_at_3 |
| value: 14.610000000000001 |
| - type: map_at_5 |
| value: 15.22 |
| - type: mrr_at_1 |
| value: 13.123999999999999 |
| - type: mrr_at_10 |
| value: 17.412 |
| - type: mrr_at_100 |
| value: 18.174 |
| - type: mrr_at_1000 |
| value: 18.268 |
| - type: mrr_at_3 |
| value: 16.051000000000002 |
| - type: mrr_at_5 |
| value: 16.836000000000002 |
| - type: ndcg_at_1 |
| value: 13.123999999999999 |
| - type: ndcg_at_10 |
| value: 18.437 |
| - type: ndcg_at_100 |
| value: 22.738 |
| - type: ndcg_at_1000 |
| value: 25.985000000000003 |
| - type: ndcg_at_3 |
| value: 15.937999999999999 |
| - type: ndcg_at_5 |
| value: 17.043 |
| - type: precision_at_1 |
| value: 13.123999999999999 |
| - type: precision_at_10 |
| value: 2.921 |
| - type: precision_at_100 |
| value: 0.543 |
| - type: precision_at_1000 |
| value: 0.091 |
| - type: precision_at_3 |
| value: 6.839 |
| - type: precision_at_5 |
| value: 4.843 |
| - type: recall_at_1 |
| value: 11.472999999999999 |
| - type: recall_at_10 |
| value: 25.219 |
| - type: recall_at_100 |
| value: 46.028999999999996 |
| - type: recall_at_1000 |
| value: 71.14399999999999 |
| - type: recall_at_3 |
| value: 18.343 |
| - type: recall_at_5 |
| value: 20.937 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB ClimateFEVER |
| config: default |
| split: test |
| revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
| metrics: |
| - type: map_at_1 |
| value: 6.212 |
| - type: map_at_10 |
| value: 11.229 |
| - type: map_at_100 |
| value: 12.620999999999999 |
| - type: map_at_1000 |
| value: 12.812999999999999 |
| - type: map_at_3 |
| value: 9.027000000000001 |
| - type: map_at_5 |
| value: 10.135 |
| - type: mrr_at_1 |
| value: 13.29 |
| - type: mrr_at_10 |
| value: 22.08 |
| - type: mrr_at_100 |
| value: 23.244 |
| - type: mrr_at_1000 |
| value: 23.311999999999998 |
| - type: mrr_at_3 |
| value: 19.012 |
| - type: mrr_at_5 |
| value: 20.787 |
| - type: ndcg_at_1 |
| value: 13.29 |
| - type: ndcg_at_10 |
| value: 16.852 |
| - type: ndcg_at_100 |
| value: 23.425 |
| - type: ndcg_at_1000 |
| value: 27.465 |
| - type: ndcg_at_3 |
| value: 12.653 |
| - type: ndcg_at_5 |
| value: 14.24 |
| - type: precision_at_1 |
| value: 13.29 |
| - type: precision_at_10 |
| value: 5.7 |
| - type: precision_at_100 |
| value: 1.28 |
| - type: precision_at_1000 |
| value: 0.201 |
| - type: precision_at_3 |
| value: 9.707 |
| - type: precision_at_5 |
| value: 7.9479999999999995 |
| - type: recall_at_1 |
| value: 6.212 |
| - type: recall_at_10 |
| value: 21.806 |
| - type: recall_at_100 |
| value: 45.243 |
| - type: recall_at_1000 |
| value: 68.709 |
| - type: recall_at_3 |
| value: 11.941 |
| - type: recall_at_5 |
| value: 15.844 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB DBPedia |
| config: default |
| split: test |
| revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
| metrics: |
| - type: map_at_1 |
| value: 4.373 |
| - type: map_at_10 |
| value: 9.591 |
| - type: map_at_100 |
| value: 13.075000000000001 |
| - type: map_at_1000 |
| value: 14.018 |
| - type: map_at_3 |
| value: 6.93 |
| - type: map_at_5 |
| value: 8.189 |
| - type: mrr_at_1 |
| value: 40.0 |
| - type: mrr_at_10 |
| value: 49.713 |
| - type: mrr_at_100 |
| value: 50.497 |
| - type: mrr_at_1000 |
| value: 50.527 |
| - type: mrr_at_3 |
| value: 47.083000000000006 |
| - type: mrr_at_5 |
| value: 48.333 |
| - type: ndcg_at_1 |
| value: 28.875 |
| - type: ndcg_at_10 |
| value: 23.486 |
| - type: ndcg_at_100 |
| value: 26.192 |
| - type: ndcg_at_1000 |
| value: 32.922000000000004 |
| - type: ndcg_at_3 |
| value: 26.246000000000002 |
| - type: ndcg_at_5 |
| value: 24.769 |
| - type: precision_at_1 |
| value: 40.0 |
| - type: precision_at_10 |
| value: 20.5 |
| - type: precision_at_100 |
| value: 6.3950000000000005 |
| - type: precision_at_1000 |
| value: 1.362 |
| - type: precision_at_3 |
| value: 30.917 |
| - type: precision_at_5 |
| value: 26.150000000000002 |
| - type: recall_at_1 |
| value: 4.373 |
| - type: recall_at_10 |
| value: 14.041999999999998 |
| - type: recall_at_100 |
| value: 32.055 |
| - type: recall_at_1000 |
| value: 54.351000000000006 |
| - type: recall_at_3 |
| value: 8.208 |
| - type: recall_at_5 |
| value: 10.615 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB EmotionClassification |
| config: default |
| split: test |
| revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
| metrics: |
| - type: accuracy |
| value: 45.045 |
| - type: f1 |
| value: 41.00531027586712 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB FEVER |
| config: default |
| split: test |
| revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
| metrics: |
| - type: map_at_1 |
| value: 14.998000000000001 |
| - type: map_at_10 |
| value: 22.807 |
| - type: map_at_100 |
| value: 23.74 |
| - type: map_at_1000 |
| value: 23.816000000000003 |
| - type: map_at_3 |
| value: 20.333000000000002 |
| - type: map_at_5 |
| value: 21.712999999999997 |
| - type: mrr_at_1 |
| value: 16.006999999999998 |
| - type: mrr_at_10 |
| value: 24.233 |
| - type: mrr_at_100 |
| value: 25.163000000000004 |
| - type: mrr_at_1000 |
| value: 25.229000000000003 |
| - type: mrr_at_3 |
| value: 21.634999999999998 |
| - type: mrr_at_5 |
| value: 23.098 |
| - type: ndcg_at_1 |
| value: 16.006999999999998 |
| - type: ndcg_at_10 |
| value: 27.578000000000003 |
| - type: ndcg_at_100 |
| value: 32.391 |
| - type: ndcg_at_1000 |
| value: 34.504000000000005 |
| - type: ndcg_at_3 |
| value: 22.457 |
| - type: ndcg_at_5 |
| value: 24.947 |
| - type: precision_at_1 |
| value: 16.006999999999998 |
| - type: precision_at_10 |
| value: 4.487 |
| - type: precision_at_100 |
| value: 0.707 |
| - type: precision_at_1000 |
| value: 0.091 |
| - type: precision_at_3 |
| value: 9.780999999999999 |
| - type: precision_at_5 |
| value: 7.2010000000000005 |
| - type: recall_at_1 |
| value: 14.998000000000001 |
| - type: recall_at_10 |
| value: 41.201 |
| - type: recall_at_100 |
| value: 63.800000000000004 |
| - type: recall_at_1000 |
| value: 80.15299999999999 |
| - type: recall_at_3 |
| value: 27.288 |
| - type: recall_at_5 |
| value: 33.263999999999996 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB FiQA2018 |
| config: default |
| split: test |
| revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
| metrics: |
| - type: map_at_1 |
| value: 6.297 |
| - type: map_at_10 |
| value: 10.769 |
| - type: map_at_100 |
| value: 11.923 |
| - type: map_at_1000 |
| value: 12.117 |
| - type: map_at_3 |
| value: 9.28 |
| - type: map_at_5 |
| value: 10.001 |
| - type: mrr_at_1 |
| value: 12.963 |
| - type: mrr_at_10 |
| value: 18.951999999999998 |
| - type: mrr_at_100 |
| value: 19.976 |
| - type: mrr_at_1000 |
| value: 20.073 |
| - type: mrr_at_3 |
| value: 16.847 |
| - type: mrr_at_5 |
| value: 17.904 |
| - type: ndcg_at_1 |
| value: 12.963 |
| - type: ndcg_at_10 |
| value: 14.979999999999999 |
| - type: ndcg_at_100 |
| value: 20.588 |
| - type: ndcg_at_1000 |
| value: 25.121 |
| - type: ndcg_at_3 |
| value: 12.697 |
| - type: ndcg_at_5 |
| value: 13.337 |
| - type: precision_at_1 |
| value: 12.963 |
| - type: precision_at_10 |
| value: 4.367 |
| - type: precision_at_100 |
| value: 0.9950000000000001 |
| - type: precision_at_1000 |
| value: 0.17700000000000002 |
| - type: precision_at_3 |
| value: 8.693 |
| - type: precision_at_5 |
| value: 6.419999999999999 |
| - type: recall_at_1 |
| value: 6.297 |
| - type: recall_at_10 |
| value: 19.400000000000002 |
| - type: recall_at_100 |
| value: 41.400999999999996 |
| - type: recall_at_1000 |
| value: 70.163 |
| - type: recall_at_3 |
| value: 11.884 |
| - type: recall_at_5 |
| value: 14.549999999999999 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB HotpotQA |
| config: default |
| split: test |
| revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
| metrics: |
| - type: map_at_1 |
| value: 17.677 |
| - type: map_at_10 |
| value: 24.685000000000002 |
| - type: map_at_100 |
| value: 25.604 |
| - type: map_at_1000 |
| value: 25.717000000000002 |
| - type: map_at_3 |
| value: 22.747 |
| - type: map_at_5 |
| value: 23.846 |
| - type: mrr_at_1 |
| value: 35.354 |
| - type: mrr_at_10 |
| value: 42.126999999999995 |
| - type: mrr_at_100 |
| value: 42.867 |
| - type: mrr_at_1000 |
| value: 42.925000000000004 |
| - type: mrr_at_3 |
| value: 40.241 |
| - type: mrr_at_5 |
| value: 41.3 |
| - type: ndcg_at_1 |
| value: 35.354 |
| - type: ndcg_at_10 |
| value: 31.438 |
| - type: ndcg_at_100 |
| value: 35.666 |
| - type: ndcg_at_1000 |
| value: 38.346000000000004 |
| - type: ndcg_at_3 |
| value: 27.766999999999996 |
| - type: ndcg_at_5 |
| value: 29.572 |
| - type: precision_at_1 |
| value: 35.354 |
| - type: precision_at_10 |
| value: 6.8870000000000005 |
| - type: precision_at_100 |
| value: 1.026 |
| - type: precision_at_1000 |
| value: 0.13799999999999998 |
| - type: precision_at_3 |
| value: 17.424999999999997 |
| - type: precision_at_5 |
| value: 11.889 |
| - type: recall_at_1 |
| value: 17.677 |
| - type: recall_at_10 |
| value: 34.436 |
| - type: recall_at_100 |
| value: 51.303 |
| - type: recall_at_1000 |
| value: 69.18299999999999 |
| - type: recall_at_3 |
| value: 26.138 |
| - type: recall_at_5 |
| value: 29.723 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB ImdbClassification |
| config: default |
| split: test |
| revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
| metrics: |
| - type: accuracy |
| value: 64.3004 |
| - type: ap |
| value: 59.425036750361784 |
| - type: f1 |
| value: 64.15840309881166 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB MSMARCO |
| config: default |
| split: dev |
| revision: c5a29a104738b98a9e76336939199e264163d4a0 |
| metrics: |
| - type: map_at_1 |
| value: 6.418 |
| - type: map_at_10 |
| value: 11.181000000000001 |
| - type: map_at_100 |
| value: 12.078 |
| - type: map_at_1000 |
| value: 12.18 |
| - type: map_at_3 |
| value: 9.414 |
| - type: map_at_5 |
| value: 10.359 |
| - type: mrr_at_1 |
| value: 6.59 |
| - type: mrr_at_10 |
| value: 11.479000000000001 |
| - type: mrr_at_100 |
| value: 12.377 |
| - type: mrr_at_1000 |
| value: 12.475 |
| - type: mrr_at_3 |
| value: 9.678 |
| - type: mrr_at_5 |
| value: 10.639999999999999 |
| - type: ndcg_at_1 |
| value: 6.59 |
| - type: ndcg_at_10 |
| value: 14.152000000000001 |
| - type: ndcg_at_100 |
| value: 19.037000000000003 |
| - type: ndcg_at_1000 |
| value: 22.125 |
| - type: ndcg_at_3 |
| value: 10.456 |
| - type: ndcg_at_5 |
| value: 12.166 |
| - type: precision_at_1 |
| value: 6.59 |
| - type: precision_at_10 |
| value: 2.436 |
| - type: precision_at_100 |
| value: 0.49699999999999994 |
| - type: precision_at_1000 |
| value: 0.076 |
| - type: precision_at_3 |
| value: 4.556 |
| - type: precision_at_5 |
| value: 3.6020000000000003 |
| - type: recall_at_1 |
| value: 6.418 |
| - type: recall_at_10 |
| value: 23.385 |
| - type: recall_at_100 |
| value: 47.169 |
| - type: recall_at_1000 |
| value: 71.995 |
| - type: recall_at_3 |
| value: 13.209000000000001 |
| - type: recall_at_5 |
| value: 17.335 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB MTOPDomainClassification (en) |
| config: en |
| split: test |
| revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
| metrics: |
| - type: accuracy |
| value: 89.67852257181941 |
| - type: f1 |
| value: 88.95204075691726 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB MTOPIntentClassification (en) |
| config: en |
| split: test |
| revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
| metrics: |
| - type: accuracy |
| value: 60.597355221158224 |
| - type: f1 |
| value: 41.690585365044186 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB MassiveIntentClassification (en) |
| config: en |
| split: test |
| revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
| metrics: |
| - type: accuracy |
| value: 63.056489576328175 |
| - type: f1 |
| value: 60.956720996001664 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB MassiveScenarioClassification (en) |
| config: en |
| split: test |
| revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
| metrics: |
| - type: accuracy |
| value: 69.88231338264963 |
| - type: f1 |
| value: 68.65445434231955 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB MedrxivClusteringP2P |
| config: default |
| split: test |
| revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
| metrics: |
| - type: v_measure |
| value: 28.16245614593283 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB MedrxivClusteringS2S |
| config: default |
| split: test |
| revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
| metrics: |
| - type: v_measure |
| value: 25.243876419694487 |
| - task: |
| type: Reranking |
| dataset: |
| type: None |
| name: MTEB MindSmallReranking |
| config: default |
| split: test |
| revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
| metrics: |
| - type: map |
| value: 29.22788130698314 |
| - type: mrr |
| value: 30.181799152132406 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB NFCorpus |
| config: default |
| split: test |
| revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
| metrics: |
| - type: map_at_1 |
| value: 3.611 |
| - type: map_at_10 |
| value: 7.911 |
| - type: map_at_100 |
| value: 9.895 |
| - type: map_at_1000 |
| value: 11.193999999999999 |
| - type: map_at_3 |
| value: 5.93 |
| - type: map_at_5 |
| value: 6.979 |
| - type: mrr_at_1 |
| value: 32.817 |
| - type: mrr_at_10 |
| value: 42.955 |
| - type: mrr_at_100 |
| value: 43.657000000000004 |
| - type: mrr_at_1000 |
| value: 43.723 |
| - type: mrr_at_3 |
| value: 40.351 |
| - type: mrr_at_5 |
| value: 42.224000000000004 |
| - type: ndcg_at_1 |
| value: 30.186 |
| - type: ndcg_at_10 |
| value: 24.783 |
| - type: ndcg_at_100 |
| value: 22.906000000000002 |
| - type: ndcg_at_1000 |
| value: 32.609 |
| - type: ndcg_at_3 |
| value: 27.786 |
| - type: ndcg_at_5 |
| value: 27.322999999999997 |
| - type: precision_at_1 |
| value: 32.817 |
| - type: precision_at_10 |
| value: 18.39 |
| - type: precision_at_100 |
| value: 6.297 |
| - type: precision_at_1000 |
| value: 1.9539999999999997 |
| - type: precision_at_3 |
| value: 26.625 |
| - type: precision_at_5 |
| value: 24.149 |
| - type: recall_at_1 |
| value: 3.611 |
| - type: recall_at_10 |
| value: 12.184000000000001 |
| - type: recall_at_100 |
| value: 24.642 |
| - type: recall_at_1000 |
| value: 59.829 |
| - type: recall_at_3 |
| value: 7.317 |
| - type: recall_at_5 |
| value: 9.702 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB NQ |
| config: default |
| split: test |
| revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
| metrics: |
| - type: map_at_1 |
| value: 9.258 |
| - type: map_at_10 |
| value: 15.838 |
| - type: map_at_100 |
| value: 16.97 |
| - type: map_at_1000 |
| value: 17.072000000000003 |
| - type: map_at_3 |
| value: 13.285 |
| - type: map_at_5 |
| value: 14.606 |
| - type: mrr_at_1 |
| value: 10.545 |
| - type: mrr_at_10 |
| value: 17.453 |
| - type: mrr_at_100 |
| value: 18.516 |
| - type: mrr_at_1000 |
| value: 18.601 |
| - type: mrr_at_3 |
| value: 14.813 |
| - type: mrr_at_5 |
| value: 16.189999999999998 |
| - type: ndcg_at_1 |
| value: 10.545 |
| - type: ndcg_at_10 |
| value: 20.278 |
| - type: ndcg_at_100 |
| value: 26.200000000000003 |
| - type: ndcg_at_1000 |
| value: 28.956 |
| - type: ndcg_at_3 |
| value: 14.963000000000001 |
| - type: ndcg_at_5 |
| value: 17.347 |
| - type: precision_at_1 |
| value: 10.545 |
| - type: precision_at_10 |
| value: 3.8350000000000004 |
| - type: precision_at_100 |
| value: 0.722 |
| - type: precision_at_1000 |
| value: 0.099 |
| - type: precision_at_3 |
| value: 7.03 |
| - type: precision_at_5 |
| value: 5.556 |
| - type: recall_at_1 |
| value: 9.258 |
| - type: recall_at_10 |
| value: 32.551 |
| - type: recall_at_100 |
| value: 60.39 |
| - type: recall_at_1000 |
| value: 81.441 |
| - type: recall_at_3 |
| value: 18.346999999999998 |
| - type: recall_at_5 |
| value: 23.947 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB QuoraRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 63.037 |
| - type: map_at_10 |
| value: 75.644 |
| - type: map_at_100 |
| value: 76.417 |
| - type: map_at_1000 |
| value: 76.452 |
| - type: map_at_3 |
| value: 72.71600000000001 |
| - type: map_at_5 |
| value: 74.504 |
| - type: mrr_at_1 |
| value: 72.69 |
| - type: mrr_at_10 |
| value: 80.037 |
| - type: mrr_at_100 |
| value: 80.291 |
| - type: mrr_at_1000 |
| value: 80.296 |
| - type: mrr_at_3 |
| value: 78.615 |
| - type: mrr_at_5 |
| value: 79.54 |
| - type: ndcg_at_1 |
| value: 72.75 |
| - type: ndcg_at_10 |
| value: 80.316 |
| - type: ndcg_at_100 |
| value: 82.48299999999999 |
| - type: ndcg_at_1000 |
| value: 82.876 |
| - type: ndcg_at_3 |
| value: 76.778 |
| - type: ndcg_at_5 |
| value: 78.63900000000001 |
| - type: precision_at_1 |
| value: 72.75 |
| - type: precision_at_10 |
| value: 12.110999999999999 |
| - type: precision_at_100 |
| value: 1.452 |
| - type: precision_at_1000 |
| value: 0.154 |
| - type: precision_at_3 |
| value: 33.243 |
| - type: precision_at_5 |
| value: 21.974 |
| - type: recall_at_1 |
| value: 63.037 |
| - type: recall_at_10 |
| value: 89.183 |
| - type: recall_at_100 |
| value: 97.38799999999999 |
| - type: recall_at_1000 |
| value: 99.591 |
| - type: recall_at_3 |
| value: 79.041 |
| - type: recall_at_5 |
| value: 84.25200000000001 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB RedditClustering |
| config: default |
| split: test |
| revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
| metrics: |
| - type: v_measure |
| value: 38.90354115378983 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB RedditClusteringP2P |
| config: default |
| split: test |
| revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
| metrics: |
| - type: v_measure |
| value: 45.41196647530998 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB SCIDOCS |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 3.013 |
| - type: map_at_10 |
| value: 6.869 |
| - type: map_at_100 |
| value: 8.216 |
| - type: map_at_1000 |
| value: 8.462 |
| - type: map_at_3 |
| value: 5.042 |
| - type: map_at_5 |
| value: 5.970000000000001 |
| - type: mrr_at_1 |
| value: 14.799999999999999 |
| - type: mrr_at_10 |
| value: 22.184 |
| - type: mrr_at_100 |
| value: 23.485 |
| - type: mrr_at_1000 |
| value: 23.57 |
| - type: mrr_at_3 |
| value: 19.383 |
| - type: mrr_at_5 |
| value: 20.938000000000002 |
| - type: ndcg_at_1 |
| value: 14.799999999999999 |
| - type: ndcg_at_10 |
| value: 12.223 |
| - type: ndcg_at_100 |
| value: 18.508 |
| - type: ndcg_at_1000 |
| value: 23.544 |
| - type: ndcg_at_3 |
| value: 11.488 |
| - type: ndcg_at_5 |
| value: 10.095 |
| - type: precision_at_1 |
| value: 14.799999999999999 |
| - type: precision_at_10 |
| value: 6.329999999999999 |
| - type: precision_at_100 |
| value: 1.546 |
| - type: precision_at_1000 |
| value: 0.27599999999999997 |
| - type: precision_at_3 |
| value: 10.567 |
| - type: precision_at_5 |
| value: 8.799999999999999 |
| - type: recall_at_1 |
| value: 3.013 |
| - type: recall_at_10 |
| value: 12.828000000000001 |
| - type: recall_at_100 |
| value: 31.408 |
| - type: recall_at_1000 |
| value: 56.157000000000004 |
| - type: recall_at_3 |
| value: 6.433 |
| - type: recall_at_5 |
| value: 8.903 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB SICK-R |
| config: default |
| split: test |
| revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
| metrics: |
| - type: cos_sim_pearson |
| value: 76.5160077089625 |
| - type: cos_sim_spearman |
| value: 67.28825297023138 |
| - type: euclidean_pearson |
| value: 72.39938443269206 |
| - type: euclidean_spearman |
| value: 67.28835245540397 |
| - type: manhattan_pearson |
| value: 69.46413862678756 |
| - type: manhattan_spearman |
| value: 65.04853993701172 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS12 |
| config: default |
| split: test |
| revision: a0d554a64d88156834ff5ae9920b964011b16384 |
| metrics: |
| - type: cos_sim_pearson |
| value: 74.53773965480292 |
| - type: cos_sim_spearman |
| value: 67.41284745598715 |
| - type: euclidean_pearson |
| value: 70.57848011423972 |
| - type: euclidean_spearman |
| value: 67.4141763023251 |
| - type: manhattan_pearson |
| value: 70.0268534606741 |
| - type: manhattan_spearman |
| value: 67.8439837728854 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS13 |
| config: default |
| split: test |
| revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
| metrics: |
| - type: cos_sim_pearson |
| value: 78.2216356861313 |
| - type: cos_sim_spearman |
| value: 79.37038668590753 |
| - type: euclidean_pearson |
| value: 79.01512518225226 |
| - type: euclidean_spearman |
| value: 79.37042448746669 |
| - type: manhattan_pearson |
| value: 78.96268955680836 |
| - type: manhattan_spearman |
| value: 79.54073298193023 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS14 |
| config: default |
| split: test |
| revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
| metrics: |
| - type: cos_sim_pearson |
| value: 78.3544215128133 |
| - type: cos_sim_spearman |
| value: 75.07229525913817 |
| - type: euclidean_pearson |
| value: 77.35598390483041 |
| - type: euclidean_spearman |
| value: 75.07228556747974 |
| - type: manhattan_pearson |
| value: 76.27348311336605 |
| - type: manhattan_spearman |
| value: 74.50258040498937 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS15 |
| config: default |
| split: test |
| revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
| metrics: |
| - type: cos_sim_pearson |
| value: 80.86410111924121 |
| - type: cos_sim_spearman |
| value: 81.79657437718866 |
| - type: euclidean_pearson |
| value: 81.77144036632458 |
| - type: euclidean_spearman |
| value: 81.79657286849607 |
| - type: manhattan_pearson |
| value: 81.87491956950679 |
| - type: manhattan_spearman |
| value: 82.16993847726854 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS16 |
| config: default |
| split: test |
| revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
| metrics: |
| - type: cos_sim_pearson |
| value: 76.43507688364112 |
| - type: cos_sim_spearman |
| value: 77.63882301316933 |
| - type: euclidean_pearson |
| value: 77.25501398026381 |
| - type: euclidean_spearman |
| value: 77.63965196736244 |
| - type: manhattan_pearson |
| value: 77.67118978923139 |
| - type: manhattan_spearman |
| value: 78.01084214592416 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS17 (en-en) |
| config: en-en |
| split: test |
| revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
| metrics: |
| - type: cos_sim_pearson |
| value: 84.39964672680482 |
| - type: cos_sim_spearman |
| value: 85.4075592513342 |
| - type: euclidean_pearson |
| value: 85.111606756296 |
| - type: euclidean_spearman |
| value: 85.40843260765956 |
| - type: manhattan_pearson |
| value: 84.8842901249278 |
| - type: manhattan_spearman |
| value: 85.63868618596224 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STS22 (en) |
| config: en |
| split: test |
| revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
| metrics: |
| - type: cos_sim_pearson |
| value: 62.75456403534724 |
| - type: cos_sim_spearman |
| value: 60.22663871632273 |
| - type: euclidean_pearson |
| value: 62.65086137572171 |
| - type: euclidean_spearman |
| value: 60.22663871632273 |
| - type: manhattan_pearson |
| value: 62.250953520717104 |
| - type: manhattan_spearman |
| value: 60.3533574497436 |
| - task: |
| type: STS |
| dataset: |
| type: None |
| name: MTEB STSBenchmark |
| config: default |
| split: test |
| revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
| metrics: |
| - type: cos_sim_pearson |
| value: 78.68220902816006 |
| - type: cos_sim_spearman |
| value: 77.52592408424563 |
| - type: euclidean_pearson |
| value: 78.64874043891504 |
| - type: euclidean_spearman |
| value: 77.5259126306683 |
| - type: manhattan_pearson |
| value: 77.84730420742085 |
| - type: manhattan_spearman |
| value: 76.87780210711085 |
| - task: |
| type: Reranking |
| dataset: |
| type: None |
| name: MTEB SciDocsRR |
| config: default |
| split: test |
| revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
| metrics: |
| - type: map |
| value: 72.3409090022697 |
| - type: mrr |
| value: 90.91359620771387 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB SciFact |
| config: default |
| split: test |
| revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
| metrics: |
| - type: map_at_1 |
| value: 33.75 |
| - type: map_at_10 |
| value: 42.137 |
| - type: map_at_100 |
| value: 43.376 |
| - type: map_at_1000 |
| value: 43.449 |
| - type: map_at_3 |
| value: 39.856 |
| - type: map_at_5 |
| value: 41.447 |
| - type: mrr_at_1 |
| value: 36.0 |
| - type: mrr_at_10 |
| value: 44.0 |
| - type: mrr_at_100 |
| value: 45.057 |
| - type: mrr_at_1000 |
| value: 45.115 |
| - type: mrr_at_3 |
| value: 42.056 |
| - type: mrr_at_5 |
| value: 43.372 |
| - type: ndcg_at_1 |
| value: 36.0 |
| - type: ndcg_at_10 |
| value: 46.627 |
| - type: ndcg_at_100 |
| value: 52.38 |
| - type: ndcg_at_1000 |
| value: 54.022000000000006 |
| - type: ndcg_at_3 |
| value: 42.341 |
| - type: ndcg_at_5 |
| value: 44.962 |
| - type: precision_at_1 |
| value: 36.0 |
| - type: precision_at_10 |
| value: 6.4670000000000005 |
| - type: precision_at_100 |
| value: 0.9570000000000001 |
| - type: precision_at_1000 |
| value: 0.11 |
| - type: precision_at_3 |
| value: 17.111 |
| - type: precision_at_5 |
| value: 11.733 |
| - type: recall_at_1 |
| value: 33.75 |
| - type: recall_at_10 |
| value: 58.789 |
| - type: recall_at_100 |
| value: 85.017 |
| - type: recall_at_1000 |
| value: 97.467 |
| - type: recall_at_3 |
| value: 47.067 |
| - type: recall_at_5 |
| value: 53.65 |
| - task: |
| type: PairClassification |
| dataset: |
| type: None |
| name: MTEB SprintDuplicateQuestions |
| config: default |
| split: test |
| revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 99.70990099009902 |
| - type: cos_sim_ap |
| value: 91.32913696282823 |
| - type: cos_sim_f1 |
| value: 85.01006036217304 |
| - type: cos_sim_precision |
| value: 85.52631578947368 |
| - type: cos_sim_recall |
| value: 84.5 |
| - type: dot_accuracy |
| value: 99.70990099009902 |
| - type: dot_ap |
| value: 91.32913696282823 |
| - type: dot_f1 |
| value: 85.01006036217304 |
| - type: dot_precision |
| value: 85.52631578947368 |
| - type: dot_recall |
| value: 84.5 |
| - type: euclidean_accuracy |
| value: 99.70990099009902 |
| - type: euclidean_ap |
| value: 91.32913696282823 |
| - type: euclidean_f1 |
| value: 85.01006036217304 |
| - type: euclidean_precision |
| value: 85.52631578947368 |
| - type: euclidean_recall |
| value: 84.5 |
| - type: manhattan_accuracy |
| value: 99.76138613861386 |
| - type: manhattan_ap |
| value: 93.79556639749748 |
| - type: manhattan_f1 |
| value: 87.80246913580247 |
| - type: manhattan_precision |
| value: 86.73170731707317 |
| - type: manhattan_recall |
| value: 88.9 |
| - type: max_accuracy |
| value: 99.76138613861386 |
| - type: max_ap |
| value: 93.79556639749748 |
| - type: max_f1 |
| value: 87.80246913580247 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB StackExchangeClustering |
| config: default |
| split: test |
| revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
| metrics: |
| - type: v_measure |
| value: 44.241414720398396 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB StackExchangeClusteringP2P |
| config: default |
| split: test |
| revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
| metrics: |
| - type: v_measure |
| value: 29.365666490943998 |
| - task: |
| type: Reranking |
| dataset: |
| type: None |
| name: MTEB StackOverflowDupQuestions |
| config: default |
| split: test |
| revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
| metrics: |
| - type: map |
| value: 43.57844146880517 |
| - type: mrr |
| value: 44.13609572616926 |
| - task: |
| type: Summarization |
| dataset: |
| type: None |
| name: MTEB SummEval |
| config: default |
| split: test |
| revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
| metrics: |
| - type: cos_sim_pearson |
| value: 30.0154193888818 |
| - type: cos_sim_spearman |
| value: 30.147164982667924 |
| - type: dot_pearson |
| value: 30.015419367262712 |
| - type: dot_spearman |
| value: 30.1547894792066 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB TRECCOVID |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 0.11299999999999999 |
| - type: map_at_10 |
| value: 0.707 |
| - type: map_at_100 |
| value: 3.7159999999999997 |
| - type: map_at_1000 |
| value: 9.451 |
| - type: map_at_3 |
| value: 0.296 |
| - type: map_at_5 |
| value: 0.43299999999999994 |
| - type: mrr_at_1 |
| value: 50.0 |
| - type: mrr_at_10 |
| value: 63.507999999999996 |
| - type: mrr_at_100 |
| value: 63.696 |
| - type: mrr_at_1000 |
| value: 63.696 |
| - type: mrr_at_3 |
| value: 60.0 |
| - type: mrr_at_5 |
| value: 61.4 |
| - type: ndcg_at_1 |
| value: 43.0 |
| - type: ndcg_at_10 |
| value: 40.248 |
| - type: ndcg_at_100 |
| value: 30.162 |
| - type: ndcg_at_1000 |
| value: 27.334999999999997 |
| - type: ndcg_at_3 |
| value: 44.665 |
| - type: ndcg_at_5 |
| value: 42.51 |
| - type: precision_at_1 |
| value: 48.0 |
| - type: precision_at_10 |
| value: 43.0 |
| - type: precision_at_100 |
| value: 31.36 |
| - type: precision_at_1000 |
| value: 13.475999999999999 |
| - type: precision_at_3 |
| value: 49.333 |
| - type: precision_at_5 |
| value: 46.400000000000006 |
| - type: recall_at_1 |
| value: 0.11299999999999999 |
| - type: recall_at_10 |
| value: 0.968 |
| - type: recall_at_100 |
| value: 6.5329999999999995 |
| - type: recall_at_1000 |
| value: 26.447 |
| - type: recall_at_3 |
| value: 0.33999999999999997 |
| - type: recall_at_5 |
| value: 0.516 |
| - task: |
| type: Retrieval |
| dataset: |
| type: None |
| name: MTEB Touche2020 |
| config: default |
| split: test |
| revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
| metrics: |
| - type: map_at_1 |
| value: 2.16 |
| - type: map_at_10 |
| value: 8.245 |
| - type: map_at_100 |
| value: 13.763 |
| - type: map_at_1000 |
| value: 15.334 |
| - type: map_at_3 |
| value: 4.577 |
| - type: map_at_5 |
| value: 5.847 |
| - type: mrr_at_1 |
| value: 30.612000000000002 |
| - type: mrr_at_10 |
| value: 42.482 |
| - type: mrr_at_100 |
| value: 43.362 |
| - type: mrr_at_1000 |
| value: 43.364999999999995 |
| - type: mrr_at_3 |
| value: 37.755 |
| - type: mrr_at_5 |
| value: 40.102 |
| - type: ndcg_at_1 |
| value: 28.571 |
| - type: ndcg_at_10 |
| value: 21.613 |
| - type: ndcg_at_100 |
| value: 34.297 |
| - type: ndcg_at_1000 |
| value: 45.528 |
| - type: ndcg_at_3 |
| value: 24.886 |
| - type: ndcg_at_5 |
| value: 22.752 |
| - type: precision_at_1 |
| value: 30.612000000000002 |
| - type: precision_at_10 |
| value: 19.592000000000002 |
| - type: precision_at_100 |
| value: 7.754999999999999 |
| - type: precision_at_1000 |
| value: 1.494 |
| - type: precision_at_3 |
| value: 25.85 |
| - type: precision_at_5 |
| value: 22.448999999999998 |
| - type: recall_at_1 |
| value: 2.16 |
| - type: recall_at_10 |
| value: 13.361999999999998 |
| - type: recall_at_100 |
| value: 46.162 |
| - type: recall_at_1000 |
| value: 80.794 |
| - type: recall_at_3 |
| value: 5.418 |
| - type: recall_at_5 |
| value: 7.670000000000001 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB ToxicConversationsClassification |
| config: default |
| split: test |
| revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
| metrics: |
| - type: accuracy |
| value: 70.35860000000001 |
| - type: ap |
| value: 13.90249255744945 |
| - type: f1 |
| value: 54.08442274867805 |
| - task: |
| type: Classification |
| dataset: |
| type: None |
| name: MTEB TweetSentimentExtractionClassification |
| config: default |
| split: test |
| revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
| metrics: |
| - type: accuracy |
| value: 54.3010752688172 |
| - type: f1 |
| value: 54.493273092344666 |
| - task: |
| type: Clustering |
| dataset: |
| type: None |
| name: MTEB TwentyNewsgroupsClustering |
| config: default |
| split: test |
| revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
| metrics: |
| - type: v_measure |
| value: 35.712743713596815 |
| - task: |
| type: PairClassification |
| dataset: |
| type: None |
| name: MTEB TwitterSemEval2015 |
| config: default |
| split: test |
| revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 83.88269654884664 |
| - type: cos_sim_ap |
| value: 66.09276985843528 |
| - type: cos_sim_f1 |
| value: 63.225649744959924 |
| - type: cos_sim_precision |
| value: 58.573357335733576 |
| - type: cos_sim_recall |
| value: 68.68073878627968 |
| - type: dot_accuracy |
| value: 83.88269654884664 |
| - type: dot_ap |
| value: 66.09276747019544 |
| - type: dot_f1 |
| value: 63.225649744959924 |
| - type: dot_precision |
| value: 58.573357335733576 |
| - type: dot_recall |
| value: 68.68073878627968 |
| - type: euclidean_accuracy |
| value: 83.88269654884664 |
| - type: euclidean_ap |
| value: 66.09276985843528 |
| - type: euclidean_f1 |
| value: 63.225649744959924 |
| - type: euclidean_precision |
| value: 58.573357335733576 |
| - type: euclidean_recall |
| value: 68.68073878627968 |
| - type: manhattan_accuracy |
| value: 82.69058830541813 |
| - type: manhattan_ap |
| value: 62.74574997540533 |
| - type: manhattan_f1 |
| value: 59.96326905417815 |
| - type: manhattan_precision |
| value: 53.06785859406745 |
| - type: manhattan_recall |
| value: 68.91820580474935 |
| - type: max_accuracy |
| value: 83.88269654884664 |
| - type: max_ap |
| value: 66.09276985843528 |
| - type: max_f1 |
| value: 63.225649744959924 |
| - task: |
| type: PairClassification |
| dataset: |
| type: None |
| name: MTEB TwitterURLCorpus |
| config: default |
| split: test |
| revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
| metrics: |
| - type: cos_sim_accuracy |
| value: 87.57519307641557 |
| - type: cos_sim_ap |
| value: 83.25474211186804 |
| - type: cos_sim_f1 |
| value: 75.56529680365297 |
| - type: cos_sim_precision |
| value: 71.89129074859248 |
| - type: cos_sim_recall |
| value: 79.63504773637203 |
| - type: dot_accuracy |
| value: 87.57519307641557 |
| - type: dot_ap |
| value: 83.25474240805171 |
| - type: dot_f1 |
| value: 75.56529680365297 |
| - type: dot_precision |
| value: 71.89129074859248 |
| - type: dot_recall |
| value: 79.63504773637203 |
| - type: euclidean_accuracy |
| value: 87.57519307641557 |
| - type: euclidean_ap |
| value: 83.25474211186805 |
| - type: euclidean_f1 |
| value: 75.56529680365297 |
| - type: euclidean_precision |
| value: 71.89129074859248 |
| - type: euclidean_recall |
| value: 79.63504773637203 |
| - type: manhattan_accuracy |
| value: 87.60041914076145 |
| - type: manhattan_ap |
| value: 83.11911507311108 |
| - type: manhattan_f1 |
| value: 75.27478546649627 |
| - type: manhattan_precision |
| value: 71.59130374383552 |
| - type: manhattan_recall |
| value: 79.35786880197105 |
| - type: max_accuracy |
| value: 87.60041914076145 |
| - type: max_ap |
| value: 83.25474240805171 |
| - type: max_f1 |
| value: 75.56529680365297 |
| --- |
