diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -1,3 +1,5283 @@ --- -license: mit +tags: +- mteb +model-index: +- name: e5-mistral-7b-instruct + results: + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 78.68656716417911 + - type: ap + value: 41.71522322900398 + - type: f1 + value: 72.37207703532552 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (de) + config: de + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 74.04710920770879 + - type: ap + value: 83.42622221864045 + - type: f1 + value: 72.14388257905772 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en-ext) + config: en-ext + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 77.93103448275862 + - type: ap + value: 26.039284760509513 + - type: f1 + value: 64.81092954450712 + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (ja) + config: ja + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 77.21627408993577 + - type: ap + value: 24.876490553983036 + - type: f1 + value: 63.8773359684989 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 95.90679999999999 + - type: ap + value: 94.32357863164454 + - type: f1 + value: 95.90485634708557 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (en) + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 55.786 + - type: f1 + value: 55.31211995815146 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (de) + config: de + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 53.26 + - type: f1 + value: 52.156230111544986 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (es) + config: es + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 50.33 + - type: f1 + value: 49.195023008878145 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (fr) + config: fr + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 49.3 + - type: f1 + value: 48.434470184108 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (ja) + config: ja + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 48.68599999999999 + - type: f1 + value: 47.62681775202072 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (zh) + config: zh + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 46.238 + - type: f1 + value: 45.014030559653705 + - task: + type: Retrieval + dataset: + type: arguana + name: MTEB ArguAna + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 36.486000000000004 + - type: map_at_10 + value: 53.076 + - type: map_at_100 + value: 53.657999999999994 + - type: map_at_1000 + value: 53.659 + - type: map_at_3 + value: 48.234 + - type: map_at_5 + value: 51.121 + - type: mrr_at_1 + value: 37.269000000000005 + - type: mrr_at_10 + value: 53.335 + - type: mrr_at_100 + value: 53.916 + - type: mrr_at_1000 + value: 53.918 + - type: mrr_at_3 + value: 48.518 + - type: mrr_at_5 + value: 51.406 + - type: ndcg_at_1 + value: 36.486000000000004 + - type: ndcg_at_10 + value: 61.882000000000005 + - type: ndcg_at_100 + value: 64.165 + - type: ndcg_at_1000 + value: 64.203 + - type: ndcg_at_3 + value: 52.049 + - type: ndcg_at_5 + value: 57.199 + - type: precision_at_1 + value: 36.486000000000004 + - type: precision_at_10 + value: 8.982999999999999 + - type: precision_at_100 + value: 0.9939999999999999 + - type: precision_at_1000 + value: 0.1 + - type: precision_at_3 + value: 21.029 + - type: precision_at_5 + value: 15.092 + - type: recall_at_1 + value: 36.486000000000004 + - type: recall_at_10 + value: 89.82900000000001 + - type: recall_at_100 + value: 99.36 + - type: recall_at_1000 + value: 99.644 + - type: recall_at_3 + value: 63.087 + - type: recall_at_5 + value: 75.46199999999999 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + name: MTEB ArxivClusteringP2P + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 50.45119266859667 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-s2s + name: MTEB ArxivClusteringS2S + config: default + split: test + revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + metrics: + - type: v_measure + value: 45.4958298992051 + - task: + type: Reranking + dataset: + type: mteb/askubuntudupquestions-reranking + name: MTEB AskUbuntuDupQuestions + config: default + split: test + revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + metrics: + - type: map + value: 66.98177472838887 + - type: mrr + value: 79.91854636591478 + - task: + type: STS + dataset: + type: mteb/biosses-sts + name: MTEB BIOSSES + config: default + split: test + revision: d3fb88f8f02e40887cd149695127462bbcf29b4a + metrics: + - type: cos_sim_pearson + value: 87.67086498650698 + - type: cos_sim_spearman + value: 85.54773239564638 + - type: euclidean_pearson + value: 86.48229161588425 + - type: euclidean_spearman + value: 85.54773239564638 + - type: manhattan_pearson + value: 86.67533327742343 + - type: manhattan_spearman + value: 85.76099026691983 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (de-en) + config: de-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.5615866388309 + - type: f1 + value: 99.49895615866389 + - type: precision + value: 99.46764091858039 + - type: recall + value: 99.5615866388309 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (fr-en) + config: fr-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.19656614571869 + - type: f1 + value: 99.08650671362535 + - type: precision + value: 99.0314769975787 + - type: recall + value: 99.19656614571869 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (ru-en) + config: ru-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 98.0256321440942 + - type: f1 + value: 97.83743216718624 + - type: precision + value: 97.74390947927492 + - type: recall + value: 98.0256321440942 + - task: + type: BitextMining + dataset: + type: mteb/bucc-bitext-mining + name: MTEB BUCC (zh-en) + config: zh-en + split: test + revision: d51519689f32196a32af33b075a01d0e7c51e252 + metrics: + - type: accuracy + value: 99.26276987888363 + - type: f1 + value: 99.22766368264 + - type: precision + value: 99.21011058451816 + - type: recall + value: 99.26276987888363 + - task: + type: Classification + dataset: + type: mteb/banking77 + name: MTEB Banking77Classification + config: default + split: test + revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + metrics: + - type: accuracy + value: 88.22727272727272 + - type: f1 + value: 88.17411732496673 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-p2p + name: MTEB BiorxivClusteringP2P + config: default + split: test + revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + metrics: + - type: v_measure + value: 43.530637846246975 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-s2s + name: MTEB BiorxivClusteringS2S + config: default + split: test + revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + metrics: + - type: v_measure + value: 40.23505728593893 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 27.162333333333333 + - type: map_at_10 + value: 37.22291666666667 + - type: map_at_100 + value: 38.56733333333333 + - type: map_at_1000 + value: 38.684250000000006 + - type: map_at_3 + value: 34.22858333333333 + - type: map_at_5 + value: 35.852500000000006 + - type: mrr_at_1 + value: 32.459833333333336 + - type: mrr_at_10 + value: 41.65358333333333 + - type: mrr_at_100 + value: 42.566916666666664 + - type: mrr_at_1000 + value: 42.61766666666667 + - type: mrr_at_3 + value: 39.210499999999996 + - type: mrr_at_5 + value: 40.582166666666666 + - type: ndcg_at_1 + value: 32.459833333333336 + - type: ndcg_at_10 + value: 42.96758333333333 + - type: ndcg_at_100 + value: 48.5065 + - type: ndcg_at_1000 + value: 50.556583333333336 + - type: ndcg_at_3 + value: 38.004416666666664 + - type: ndcg_at_5 + value: 40.25916666666667 + - type: precision_at_1 + value: 32.459833333333336 + - type: precision_at_10 + value: 7.664583333333333 + - type: precision_at_100 + value: 1.2349999999999999 + - type: precision_at_1000 + value: 0.15966666666666668 + - type: precision_at_3 + value: 17.731166666666663 + - type: precision_at_5 + value: 12.575333333333335 + - type: recall_at_1 + value: 27.162333333333333 + - type: recall_at_10 + value: 55.44158333333334 + - type: recall_at_100 + value: 79.56966666666666 + - type: recall_at_1000 + value: 93.45224999999999 + - type: recall_at_3 + value: 41.433083333333336 + - type: recall_at_5 + value: 47.31108333333333 + - task: + type: Retrieval + dataset: + type: climate-fever + name: MTEB ClimateFEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 16.539 + - type: map_at_10 + value: 28.494999999999997 + - type: map_at_100 + value: 30.568 + - type: map_at_1000 + value: 30.741000000000003 + - type: map_at_3 + value: 23.846999999999998 + - type: map_at_5 + value: 26.275 + - type: mrr_at_1 + value: 37.394 + - type: mrr_at_10 + value: 50.068 + - type: mrr_at_100 + value: 50.727 + - type: mrr_at_1000 + value: 50.751000000000005 + - type: mrr_at_3 + value: 46.938 + - type: mrr_at_5 + value: 48.818 + - type: ndcg_at_1 + value: 37.394 + - type: ndcg_at_10 + value: 38.349 + - type: ndcg_at_100 + value: 45.512 + - type: ndcg_at_1000 + value: 48.321 + - type: ndcg_at_3 + value: 32.172 + - type: ndcg_at_5 + value: 34.265 + - type: precision_at_1 + value: 37.394 + - type: precision_at_10 + value: 11.927999999999999 + - type: precision_at_100 + value: 1.966 + - type: precision_at_1000 + value: 0.25 + - type: precision_at_3 + value: 24.126 + - type: precision_at_5 + value: 18.306 + - type: recall_at_1 + value: 16.539 + - type: recall_at_10 + value: 44.504 + - type: recall_at_100 + value: 68.605 + - type: recall_at_1000 + value: 84.1 + - type: recall_at_3 + value: 29.008 + - type: recall_at_5 + value: 35.58 + - task: + type: Retrieval + dataset: + type: dbpedia-entity + name: MTEB DBPedia + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 10.183 + - type: map_at_10 + value: 23.958 + - type: map_at_100 + value: 34.354 + - type: map_at_1000 + value: 36.442 + - type: map_at_3 + value: 16.345000000000002 + - type: map_at_5 + value: 19.647000000000002 + - type: mrr_at_1 + value: 74.25 + - type: mrr_at_10 + value: 80.976 + - type: mrr_at_100 + value: 81.256 + - type: mrr_at_1000 + value: 81.262 + - type: mrr_at_3 + value: 79.958 + - type: mrr_at_5 + value: 80.37100000000001 + - type: ndcg_at_1 + value: 62.0 + - type: ndcg_at_10 + value: 48.894999999999996 + - type: ndcg_at_100 + value: 53.867 + - type: ndcg_at_1000 + value: 61.304 + - type: ndcg_at_3 + value: 53.688 + - type: ndcg_at_5 + value: 50.900999999999996 + - type: precision_at_1 + value: 74.25 + - type: precision_at_10 + value: 39.525 + - type: precision_at_100 + value: 12.323 + - type: precision_at_1000 + value: 2.539 + - type: precision_at_3 + value: 57.49999999999999 + - type: precision_at_5 + value: 49.1 + - type: recall_at_1 + value: 10.183 + - type: recall_at_10 + value: 29.296 + - type: recall_at_100 + value: 60.394999999999996 + - type: recall_at_1000 + value: 83.12 + - type: recall_at_3 + value: 17.495 + - type: recall_at_5 + value: 22.235 + - task: + type: Classification + dataset: + type: mteb/emotion + name: MTEB EmotionClassification + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 49.765 + - type: f1 + value: 45.93242203574485 + - task: + type: Retrieval + dataset: + type: fever + name: MTEB FEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 75.138 + - type: map_at_10 + value: 84.21300000000001 + - type: map_at_100 + value: 84.43 + - type: map_at_1000 + value: 84.441 + - type: map_at_3 + value: 83.071 + - type: map_at_5 + value: 83.853 + - type: mrr_at_1 + value: 80.948 + - type: mrr_at_10 + value: 88.175 + - type: mrr_at_100 + value: 88.24 + - type: mrr_at_1000 + value: 88.241 + - type: mrr_at_3 + value: 87.516 + - type: mrr_at_5 + value: 87.997 + - type: ndcg_at_1 + value: 80.948 + - type: ndcg_at_10 + value: 87.84100000000001 + - type: ndcg_at_100 + value: 88.576 + - type: ndcg_at_1000 + value: 88.75699999999999 + - type: ndcg_at_3 + value: 86.176 + - type: ndcg_at_5 + value: 87.214 + - type: precision_at_1 + value: 80.948 + - type: precision_at_10 + value: 10.632 + - type: precision_at_100 + value: 1.123 + - type: precision_at_1000 + value: 0.11499999999999999 + - type: precision_at_3 + value: 33.193 + - type: precision_at_5 + value: 20.663 + - type: recall_at_1 + value: 75.138 + - type: recall_at_10 + value: 94.89699999999999 + - type: recall_at_100 + value: 97.751 + - type: recall_at_1000 + value: 98.833 + - type: recall_at_3 + value: 90.455 + - type: recall_at_5 + value: 93.085 + - task: + type: Retrieval + dataset: + type: fiqa + name: MTEB FiQA2018 + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 29.45 + - type: map_at_10 + value: 48.596000000000004 + - type: map_at_100 + value: 50.70400000000001 + - type: map_at_1000 + value: 50.83800000000001 + - type: map_at_3 + value: 42.795 + - type: map_at_5 + value: 46.085 + - type: mrr_at_1 + value: 56.172999999999995 + - type: mrr_at_10 + value: 64.35300000000001 + - type: mrr_at_100 + value: 64.947 + - type: mrr_at_1000 + value: 64.967 + - type: mrr_at_3 + value: 62.653999999999996 + - type: mrr_at_5 + value: 63.534 + - type: ndcg_at_1 + value: 56.172999999999995 + - type: ndcg_at_10 + value: 56.593 + - type: ndcg_at_100 + value: 62.942 + - type: ndcg_at_1000 + value: 64.801 + - type: ndcg_at_3 + value: 53.024 + - type: ndcg_at_5 + value: 53.986999999999995 + - type: precision_at_1 + value: 56.172999999999995 + - type: precision_at_10 + value: 15.494 + - type: precision_at_100 + value: 2.222 + - type: precision_at_1000 + value: 0.254 + - type: precision_at_3 + value: 35.185 + - type: precision_at_5 + value: 25.556 + - type: recall_at_1 + value: 29.45 + - type: recall_at_10 + value: 62.882000000000005 + - type: recall_at_100 + value: 85.56099999999999 + - type: recall_at_1000 + value: 96.539 + - type: recall_at_3 + value: 47.911 + - type: recall_at_5 + value: 54.52 + - task: + type: Retrieval + dataset: + type: hotpotqa + name: MTEB HotpotQA + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 39.581 + - type: map_at_10 + value: 68.401 + - type: map_at_100 + value: 69.207 + - type: map_at_1000 + value: 69.25200000000001 + - type: map_at_3 + value: 64.689 + - type: map_at_5 + value: 67.158 + - type: mrr_at_1 + value: 79.163 + - type: mrr_at_10 + value: 85.22999999999999 + - type: mrr_at_100 + value: 85.386 + - type: mrr_at_1000 + value: 85.39099999999999 + - type: mrr_at_3 + value: 84.432 + - type: mrr_at_5 + value: 84.952 + - type: ndcg_at_1 + value: 79.163 + - type: ndcg_at_10 + value: 75.721 + - type: ndcg_at_100 + value: 78.411 + - type: ndcg_at_1000 + value: 79.23599999999999 + - type: ndcg_at_3 + value: 70.68799999999999 + - type: ndcg_at_5 + value: 73.694 + - type: precision_at_1 + value: 79.163 + - type: precision_at_10 + value: 16.134 + - type: precision_at_100 + value: 1.821 + - type: precision_at_1000 + value: 0.193 + - type: precision_at_3 + value: 46.446 + - type: precision_at_5 + value: 30.242 + - type: recall_at_1 + value: 39.581 + - type: recall_at_10 + value: 80.66799999999999 + - type: recall_at_100 + value: 91.033 + - type: recall_at_1000 + value: 96.408 + - type: recall_at_3 + value: 69.669 + - type: recall_at_5 + value: 75.604 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 94.78120000000001 + - type: ap + value: 92.52931921594387 + - type: f1 + value: 94.77902110732532 + - task: + type: Retrieval + dataset: + type: msmarco + name: MTEB MSMARCO + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 23.363999999999997 + - type: map_at_10 + value: 36.022 + - type: map_at_100 + value: 37.229 + - type: map_at_1000 + value: 37.274 + - type: map_at_3 + value: 32.131 + - type: map_at_5 + value: 34.391 + - type: mrr_at_1 + value: 24.069 + - type: mrr_at_10 + value: 36.620000000000005 + - type: mrr_at_100 + value: 37.769999999999996 + - type: mrr_at_1000 + value: 37.809 + - type: mrr_at_3 + value: 32.846 + - type: mrr_at_5 + value: 35.02 + - type: ndcg_at_1 + value: 24.069 + - type: ndcg_at_10 + value: 43.056 + - type: ndcg_at_100 + value: 48.754 + - type: ndcg_at_1000 + value: 49.829 + - type: ndcg_at_3 + value: 35.167 + - type: ndcg_at_5 + value: 39.168 + - type: precision_at_1 + value: 24.069 + - type: precision_at_10 + value: 6.762 + - type: precision_at_100 + value: 0.96 + - type: precision_at_1000 + value: 0.105 + - type: precision_at_3 + value: 14.957 + - type: precision_at_5 + value: 11.023 + - type: recall_at_1 + value: 23.363999999999997 + - type: recall_at_10 + value: 64.696 + - type: recall_at_100 + value: 90.795 + - type: recall_at_1000 + value: 98.892 + - type: recall_at_3 + value: 43.247 + - type: recall_at_5 + value: 52.86300000000001 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (en) + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 96.11947104423166 + - type: f1 + value: 95.89561841159332 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (de) + config: de + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 92.97548605240912 + - type: f1 + value: 92.17133696717212 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (es) + config: es + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 93.37224816544364 + - type: f1 + value: 93.19978829237863 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (fr) + config: fr + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 91.28719072972127 + - type: f1 + value: 91.28448045979604 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (hi) + config: hi + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 88.8131946934385 + - type: f1 + value: 88.27883019362747 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (th) + config: th + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 85.52260397830018 + - type: f1 + value: 85.15528226728568 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (en) + config: en + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - type: accuracy + value: 86.10807113543093 + - type: f1 + value: 70.88498219072167 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (de) + config: de + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - 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task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (ta) + config: ta + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 57.760591795561524 + - type: f1 + value: 56.73711528075771 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (te) + config: te + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 57.26967047747142 + - type: f1 + value: 55.74735330863165 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (th) + config: th + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 72.46133154001345 + - type: f1 + value: 71.9644168952811 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (tl) + config: tl + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 73.70880968392737 + - type: f1 + value: 73.61543141070884 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (tr) + config: tr + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 75.0437121721587 + - type: f1 + value: 74.83359868879921 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (ur) + config: ur + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 67.05110961667788 + - type: f1 + value: 66.25869819274315 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (vi) + config: vi + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 75.52118359112306 + - type: f1 + value: 75.92098546052303 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (zh-CN) + config: zh-CN + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 79.92938802958977 + - type: f1 + value: 79.79833572573796 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (zh-TW) + config: zh-TW + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 76.86617350369872 + - type: f1 + value: 77.42645654909516 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-p2p + name: MTEB MedrxivClusteringP2P + config: default + split: test + revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 + metrics: + - type: v_measure + value: 38.192667527616315 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-s2s + name: MTEB MedrxivClusteringS2S + config: default + split: test + revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + metrics: + - type: v_measure + value: 37.44738902946689 + - task: + type: Reranking + dataset: + type: mteb/mind_small + name: MTEB MindSmallReranking + config: default + split: test + revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 + metrics: + - type: map + value: 32.59661273103955 + - type: mrr + value: 33.82024242497473 + - task: + type: Retrieval + dataset: + type: nfcorpus + name: MTEB NFCorpus + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 5.471 + - type: map_at_10 + value: 14.142 + - type: map_at_100 + value: 18.179000000000002 + - type: map_at_1000 + value: 19.772000000000002 + - type: map_at_3 + value: 9.716 + - type: map_at_5 + value: 11.763 + - type: mrr_at_1 + value: 51.393 + - type: mrr_at_10 + value: 58.814 + - type: mrr_at_100 + value: 59.330000000000005 + - type: mrr_at_1000 + value: 59.35 + - type: mrr_at_3 + value: 56.398 + - type: mrr_at_5 + value: 58.038999999999994 + - type: ndcg_at_1 + value: 49.69 + - type: ndcg_at_10 + value: 38.615 + - 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task: + type: Retrieval + dataset: + type: quora + name: MTEB QuoraRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 71.911 + - type: map_at_10 + value: 86.087 + - type: map_at_100 + value: 86.701 + - type: map_at_1000 + value: 86.715 + - type: map_at_3 + value: 83.231 + - type: map_at_5 + value: 85.051 + - type: mrr_at_1 + value: 82.75 + - type: mrr_at_10 + value: 88.759 + - type: mrr_at_100 + value: 88.844 + - type: mrr_at_1000 + value: 88.844 + - type: mrr_at_3 + value: 87.935 + - type: mrr_at_5 + value: 88.504 + - type: ndcg_at_1 + value: 82.75 + - type: ndcg_at_10 + value: 89.605 + - type: ndcg_at_100 + value: 90.664 + - type: ndcg_at_1000 + value: 90.733 + - type: ndcg_at_3 + value: 87.03 + - type: ndcg_at_5 + value: 88.473 + - type: precision_at_1 + value: 82.75 + - type: precision_at_10 + value: 13.575000000000001 + - type: precision_at_100 + value: 1.539 + - type: precision_at_1000 + value: 0.157 + - type: precision_at_3 + value: 38.153 + - 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type: map_at_100 + value: 11.001 + - type: map_at_1000 + value: 11.262 + - type: map_at_3 + value: 6.816 + - type: map_at_5 + value: 8.0 + - type: mrr_at_1 + value: 18.4 + - type: mrr_at_10 + value: 28.755999999999997 + - type: mrr_at_100 + value: 29.892000000000003 + - type: mrr_at_1000 + value: 29.961 + - type: mrr_at_3 + value: 25.467000000000002 + - type: mrr_at_5 + value: 27.332 + - type: ndcg_at_1 + value: 18.4 + - type: ndcg_at_10 + value: 16.296 + - type: ndcg_at_100 + value: 23.52 + - type: ndcg_at_1000 + value: 28.504 + - type: ndcg_at_3 + value: 15.485 + - type: ndcg_at_5 + value: 13.471 + - type: precision_at_1 + value: 18.4 + - type: precision_at_10 + value: 8.469999999999999 + - type: precision_at_100 + value: 1.8950000000000002 + - type: precision_at_1000 + value: 0.309 + - type: precision_at_3 + value: 14.6 + - type: precision_at_5 + value: 11.84 + - type: recall_at_1 + value: 3.7379999999999995 + - type: recall_at_10 + value: 17.185 + - type: recall_at_100 + value: 38.397 + - type: recall_at_1000 + value: 62.798 + - type: recall_at_3 + value: 8.896999999999998 + - type: recall_at_5 + value: 12.021999999999998 + - task: + type: STS + dataset: + type: mteb/sickr-sts + name: MTEB SICK-R + config: default + split: test + revision: a6ea5a8cab320b040a23452cc28066d9beae2cee + metrics: + - type: cos_sim_pearson + value: 86.43977757480083 + - type: cos_sim_spearman + value: 82.64182475199533 + - type: euclidean_pearson + value: 83.71756009999591 + - type: euclidean_spearman + value: 82.64182331395057 + - type: manhattan_pearson + value: 83.8028936913025 + - type: manhattan_spearman + value: 82.71024597804252 + - task: + type: STS + dataset: + type: mteb/sts12-sts + name: MTEB STS12 + config: default + split: test + revision: a0d554a64d88156834ff5ae9920b964011b16384 + metrics: + - type: cos_sim_pearson + value: 86.85653060698912 + - type: cos_sim_spearman + value: 79.65598885228324 + - type: euclidean_pearson + value: 83.1205137628455 + - type: euclidean_spearman + value: 79.65629387709038 + - type: manhattan_pearson + value: 83.71108853545837 + - type: manhattan_spearman + value: 80.25617619716708 + - task: + type: STS + dataset: + type: mteb/sts13-sts + name: MTEB STS13 + config: default + split: test + revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + metrics: + - type: cos_sim_pearson + value: 88.22921688565664 + - type: cos_sim_spearman + value: 88.42662103041957 + - type: euclidean_pearson + value: 87.91679798473325 + - type: euclidean_spearman + value: 88.42662103041957 + - type: manhattan_pearson + value: 88.16927537961303 + - type: manhattan_spearman + value: 88.81581680062541 + - task: + type: STS + dataset: + type: mteb/sts14-sts + name: MTEB STS14 + config: default + split: test + revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + metrics: + - type: cos_sim_pearson + value: 86.77261424554293 + - type: cos_sim_spearman + value: 84.53930146434155 + - type: euclidean_pearson + value: 85.67420491389697 + - type: euclidean_spearman + value: 84.53929771783851 + - type: manhattan_pearson + value: 85.74306784515618 + - type: manhattan_spearman + value: 84.7399304675314 + - task: + type: STS + dataset: + type: mteb/sts15-sts + name: MTEB STS15 + config: default + split: test + revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 + metrics: + - type: cos_sim_pearson + value: 89.86138395166455 + - type: cos_sim_spearman + value: 90.42577823022054 + - type: euclidean_pearson + value: 89.8787763797515 + - type: euclidean_spearman + value: 90.42577823022054 + - type: manhattan_pearson + value: 89.9592937492158 + - type: manhattan_spearman + value: 90.63535505335524 + - task: + type: STS + dataset: + type: mteb/sts16-sts + name: MTEB STS16 + config: default + split: test + revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 + metrics: + - type: cos_sim_pearson + value: 86.5176674585941 + - type: cos_sim_spearman + value: 87.6842917085397 + - type: euclidean_pearson + value: 86.70213081520711 + - type: euclidean_spearman + value: 87.6842917085397 + - type: manhattan_pearson + value: 86.83702628983627 + - type: manhattan_spearman + value: 87.87791000374443 + - task: + type: STS + dataset: + type: mteb/sts17-crosslingual-sts + name: MTEB STS17 (en-en) + config: en-en + split: test + revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + metrics: + - type: cos_sim_pearson + value: 91.6934766230911 + - type: cos_sim_spearman + value: 91.76610452580849 + - type: euclidean_pearson + value: 91.84972362904293 + - type: euclidean_spearman + value: 91.76610452580849 + - type: manhattan_pearson + value: 91.72471134652476 + - type: manhattan_spearman + value: 91.57332965544492 + - task: + type: STS + dataset: + type: mteb/sts22-crosslingual-sts + name: MTEB STS22 (en) + config: en + split: test + revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + metrics: + - type: cos_sim_pearson + value: 67.53254210885925 + - type: cos_sim_spearman + value: 66.97079949935386 + - type: euclidean_pearson + value: 68.19500839554337 + - type: euclidean_spearman + value: 66.97079949935386 + - type: manhattan_pearson + value: 68.39083341409233 + - type: manhattan_spearman + value: 67.09308082453076 + - task: + type: STS + dataset: + type: mteb/stsbenchmark-sts + name: MTEB STSBenchmark + config: default + split: test + revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 + metrics: + - type: cos_sim_pearson + value: 87.68273341294419 + - type: cos_sim_spearman + value: 88.59927164210958 + - type: euclidean_pearson + value: 88.10745681818025 + - type: euclidean_spearman + value: 88.59927164210958 + - type: manhattan_pearson + value: 88.25166703784649 + - type: manhattan_spearman + value: 88.85343247873482 + - task: + type: Reranking + dataset: + type: mteb/scidocs-reranking + name: MTEB SciDocsRR + config: default + split: test + revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab + metrics: + - type: map + value: 86.3340463345719 + - type: mrr + value: 96.5182611506141 + - task: + type: Retrieval + dataset: + type: scifact + name: MTEB SciFact + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 60.967000000000006 + - type: map_at_10 + value: 71.873 + - type: map_at_100 + value: 72.271 + - type: map_at_1000 + value: 72.292 + - type: map_at_3 + value: 69.006 + - type: map_at_5 + value: 70.856 + - type: mrr_at_1 + value: 63.666999999999994 + - type: mrr_at_10 + value: 72.929 + - type: mrr_at_100 + value: 73.26 + - type: mrr_at_1000 + value: 73.282 + - type: mrr_at_3 + value: 71.111 + - type: mrr_at_5 + value: 72.328 + - type: ndcg_at_1 + value: 63.666999999999994 + - type: ndcg_at_10 + value: 76.414 + - type: ndcg_at_100 + value: 78.152 + - type: ndcg_at_1000 + value: 78.604 + - type: ndcg_at_3 + value: 71.841 + - type: ndcg_at_5 + value: 74.435 + - type: precision_at_1 + value: 63.666999999999994 + - type: precision_at_10 + value: 10.067 + - type: precision_at_100 + value: 1.097 + - type: precision_at_1000 + value: 0.11299999999999999 + - type: precision_at_3 + value: 27.667 + - type: precision_at_5 + value: 18.467 + - type: recall_at_1 + value: 60.967000000000006 + - type: recall_at_10 + value: 88.922 + - type: recall_at_100 + value: 96.667 + - type: recall_at_1000 + value: 100.0 + - type: recall_at_3 + value: 77.228 + - type: recall_at_5 + value: 83.428 + - task: + type: PairClassification + dataset: + type: mteb/sprintduplicatequestions-pairclassification + name: MTEB SprintDuplicateQuestions + config: default + split: test + revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 + metrics: + - type: cos_sim_accuracy + value: 99.82277227722773 + - type: cos_sim_ap + value: 95.66279851444406 + - type: cos_sim_f1 + value: 90.9367088607595 + - type: cos_sim_precision + value: 92.1025641025641 + - type: cos_sim_recall + value: 89.8 + - type: dot_accuracy + value: 99.82277227722773 + - type: dot_ap + value: 95.66279851444406 + - type: dot_f1 + value: 90.9367088607595 + - type: dot_precision + value: 92.1025641025641 + - type: dot_recall + value: 89.8 + - type: euclidean_accuracy + value: 99.82277227722773 + - type: euclidean_ap + value: 95.66279851444406 + - type: euclidean_f1 + value: 90.9367088607595 + - type: euclidean_precision + value: 92.1025641025641 + - type: euclidean_recall + value: 89.8 + - type: manhattan_accuracy + value: 99.82673267326733 + - type: manhattan_ap + value: 95.86094873177069 + - type: manhattan_f1 + value: 91.26788357178096 + - type: manhattan_precision + value: 90.06815968841285 + - type: manhattan_recall + value: 92.5 + - type: max_accuracy + value: 99.82673267326733 + - type: max_ap + value: 95.86094873177069 + - type: max_f1 + value: 91.26788357178096 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering + name: MTEB StackExchangeClustering + config: default + split: test + revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 + metrics: + - type: v_measure + value: 73.09533925852372 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering-p2p + name: MTEB StackExchangeClusteringP2P + config: default + split: test + revision: 815ca46b2622cec33ccafc3735d572c266efdb44 + metrics: + - type: v_measure + value: 45.90745648090035 + - task: + type: Reranking + dataset: + type: mteb/stackoverflowdupquestions-reranking + name: MTEB StackOverflowDupQuestions + config: default + split: test + revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 + metrics: + - type: map + value: 54.91147686504404 + - type: mrr + value: 56.03900082760377 + - task: + type: Summarization + dataset: + type: mteb/summeval + name: MTEB SummEval + config: default + split: test + revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c + metrics: + - type: cos_sim_pearson + value: 31.46908662038217 + - type: cos_sim_spearman + value: 31.40325730367437 + - type: dot_pearson + value: 31.469083969291894 + - type: dot_spearman + value: 31.40325730367437 + - task: + type: Retrieval + dataset: + type: trec-covid + name: MTEB TRECCOVID + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 0.243 + - type: map_at_10 + value: 2.278 + - type: map_at_100 + value: 14.221 + - type: map_at_1000 + value: 33.474 + - type: map_at_3 + value: 0.7270000000000001 + - 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