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README.md
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---
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library_name: model2vec
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license: mit
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tags:
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- embeddings
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- static-embeddings
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- mteb
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model-index:
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- name: potion-base-8M
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results:
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-
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type: Classification
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dataset:
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name: MTEB AmazonCounterfactualClassification (en-ext)
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type: mteb/amazon_counterfactual
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config: en-ext
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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metrics:
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- type: accuracy
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value: 72.15142428785607
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value: 77.34906471545477
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- type: main_score
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value: 72.15142428785607
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-
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type: Classification
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name: MTEB AmazonCounterfactualClassification (en)
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type: mteb/amazon_counterfactual
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config: en
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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metrics:
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- type: accuracy
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value: 71.7910447761194
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value: 74.32788084269461
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- type: main_score
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value: 71.7910447761194
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-
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type: Classification
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-
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name: MTEB AmazonPolarityClassification (default)
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type: mteb/amazon_polarity
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config: default
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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metrics:
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- type: accuracy
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value: 72.47644999999999
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value: 72.2600863044581
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- type: main_score
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value: 72.47644999999999
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-
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type: Classification
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-
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name: MTEB AmazonReviewsClassification (en)
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type: mteb/amazon_reviews_multi
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config: en
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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metrics:
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- type: accuracy
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value: 36.012
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value: 35.38209336470206
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- type: main_score
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value: 36.012
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-
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type:
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name: MTEB ArguAna (default)
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type: mteb/arguana
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config: default
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revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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metrics:
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- type: main_score
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value: 41.966
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value: 42.888
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- type: recall_at_5
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value: 52.063
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type:
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name: MTEB ArxivClusteringP2P (default)
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type: mteb/arxiv-clustering-p2p
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config: default
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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metrics:
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- type: main_score
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value: 35.387660145946825
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value: 35.387660145946825
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- type: v_measure_std
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value: 14.022525689022785
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type: Clustering
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name: MTEB ArxivClusteringS2S (default)
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type: mteb/arxiv-clustering-s2s
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config: default
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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metrics:
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- type: main_score
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value: 25.26058942964131
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value: 25.26058942964131
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- type: v_measure_std
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value: 14.850432186356857
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type:
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name: MTEB AskUbuntuDupQuestions (default)
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type: mteb/askubuntudupquestions-reranking
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config: default
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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metrics:
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- type: main_score
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value: 54.13950871400633
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value: 21.861692980537956
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- type: nAUC_mrr_std
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value: 8.256966784037171
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type:
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name: MTEB BIOSSES (default)
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type: mteb/biosses-sts
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config: default
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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metrics:
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- type: cosine_pearson
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value: 79.11612010879227
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value: 79.11612010879227
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- type: spearman
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value: 75.85775256673794
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type:
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name: MTEB Banking77Classification (default)
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type: mteb/banking77
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config: default
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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metrics:
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- type: accuracy
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value: 72.63636363636363
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value: 71.69751597573539
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- type: main_score
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value: 72.63636363636363
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type:
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name: MTEB BiorxivClusteringP2P (default)
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type: mteb/biorxiv-clustering-p2p
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config: default
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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metrics:
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- type: main_score
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value: 30.861840536151014
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value: 30.861840536151014
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- type: v_measure_std
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value: 0.8096483751274005
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type: Clustering
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name: MTEB BiorxivClusteringS2S (default)
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type: mteb/biorxiv-clustering-s2s
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config: default
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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metrics:
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- type: main_score
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value: 20.219544420664455
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value: 20.219544420664455
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- type: v_measure_std
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value: 0.7431903039116942
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type:
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name: MTEB CQADupstackAndroidRetrieval (default)
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type: mteb/cqadupstack-android
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config: default
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revision: f46a197baaae43b4f621051089b82a364682dfeb
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metrics:
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- type: main_score
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value: 31.835
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value: 29.301
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- type: recall_at_5
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value: 33.918
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type: Retrieval
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name: MTEB CQADupstackEnglishRetrieval (default)
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type: mteb/cqadupstack-english
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config: default
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revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
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metrics:
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- type: main_score
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value: 25.734
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value: 23.54
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- type: recall_at_5
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value: 28.054000000000002
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type: Retrieval
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name: MTEB CQADupstackGamingRetrieval (default)
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type: mteb/cqadupstack-gaming
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config: default
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revision: 4885aa143210c98657558c04aaf3dc47cfb54340
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metrics:
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- type: main_score
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value: 39.235
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value: 37.830999999999996
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- type: recall_at_5
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value: 43.811
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type: Retrieval
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name: MTEB CQADupstackGisRetrieval (default)
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type: mteb/cqadupstack-gis
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config: default
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revision: 5003b3064772da1887988e05400cf3806fe491f2
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metrics:
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- type: main_score
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value: 19.197
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value: 19.417
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- type: recall_at_5
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value: 23.577
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type: Retrieval
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name: MTEB CQADupstackMathematicaRetrieval (default)
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type: mteb/cqadupstack-mathematica
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config: default
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revision: 90fceea13679c63fe563ded68f3b6f06e50061de
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metrics:
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- type: main_score
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value: 12.145
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value: 11.178
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value: 13.877
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type: Retrieval
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name: MTEB CQADupstackPhysicsRetrieval (default)
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type: mteb/cqadupstack-physics
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config: default
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revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
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metrics:
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- type: main_score
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value: 26.667999999999996
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value: 24.524
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- type: recall_at_5
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value: 28.787000000000003
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type: Retrieval
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name: MTEB CQADupstackProgrammersRetrieval (default)
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type: mteb/cqadupstack-programmers
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config: default
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revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
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metrics:
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- type: main_score
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value: 21.66
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value: 19.79
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- type: recall_at_5
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value: 23.376
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type: Retrieval
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name: MTEB CQADupstackRetrieval (default)
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type: CQADupstackRetrieval_is_a_combined_dataset
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config: default
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revision: CQADupstackRetrieval_is_a_combined_dataset
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metrics:
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- type: main_score
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value: 22.302333333333333
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- type: ndcg_at_10
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value: 22.302333333333333
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type: Retrieval
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name: MTEB CQADupstackStatsRetrieval (default)
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type: mteb/cqadupstack-stats
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config: default
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revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
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metrics:
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- type: main_score
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value: 17.253
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value: 17.134
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- type: recall_at_5
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value: 19.72
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type: Retrieval
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name: MTEB CQADupstackTexRetrieval (default)
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type: mteb/cqadupstack-tex
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config: default
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revision: 46989137a86843e03a6195de44b09deda022eec7
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value: 13.308
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value: 12.199
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value: 14.87
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type: Retrieval
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name: MTEB CQADupstackUnixRetrieval (default)
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type: mteb/cqadupstack-unix
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config: default
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revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
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value: 20.061999999999998
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value: 18.859
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value: 22.435
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type: Retrieval
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name: MTEB CQADupstackWebmastersRetrieval (default)
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type: mteb/cqadupstack-webmasters
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config: default
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revision: 160c094312a0e1facb97e55eeddb698c0abe3571
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value: 23.735999999999997
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value: 21.397
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value: 24.863
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type: Retrieval
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name: MTEB CQADupstackWordpressRetrieval (default)
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type: mteb/cqadupstack-wordpress
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config: default
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revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
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- type: main_score
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value: 16.794999999999998
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value: 15.440999999999999
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- type: recall_at_5
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value: 18.829
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type: Retrieval
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name: MTEB ClimateFEVER (default)
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type: mteb/climate-fever
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config: default
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revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
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- type: main_score
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value: 17.288999999999998
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value: 12.232
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- type: recall_at_5
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value: 15.540999999999999
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type: Retrieval
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name: MTEB DBPedia (default)
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type: mteb/dbpedia
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config: default
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revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
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metrics:
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- type: main_score
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value: 24.235
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@@ -4597,14 +4591,14 @@ model-index:
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|
| 4597 |
value: 8.698
|
| 4598 |
- type: recall_at_5
|
| 4599 |
value: 11.052
|
| 4600 |
-
|
| 4601 |
-
type:
|
| 4602 |
-
|
| 4603 |
-
name: MTEB EmotionClassification (default)
|
| 4604 |
-
type: mteb/emotion
|
| 4605 |
config: default
|
| 4606 |
-
|
| 4607 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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|
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| 4608 |
metrics:
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| 4609 |
- type: accuracy
|
| 4610 |
value: 45.09
|
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@@ -4614,14 +4608,14 @@ model-index:
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|
| 4614 |
value: 47.129694558751545
|
| 4615 |
- type: main_score
|
| 4616 |
value: 45.09
|
| 4617 |
-
|
| 4618 |
-
type:
|
| 4619 |
-
|
| 4620 |
-
name: MTEB FEVER (default)
|
| 4621 |
-
type: mteb/fever
|
| 4622 |
config: default
|
| 4623 |
-
|
| 4624 |
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
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|
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|
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|
| 4625 |
metrics:
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| 4626 |
- type: main_score
|
| 4627 |
value: 30.267
|
|
@@ -4905,14 +4899,14 @@ model-index:
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|
| 4905 |
value: 29.42
|
| 4906 |
- type: recall_at_5
|
| 4907 |
value: 36.112
|
| 4908 |
-
|
| 4909 |
type: Retrieval
|
| 4910 |
-
|
| 4911 |
-
name: MTEB FiQA2018 (default)
|
| 4912 |
-
type: mteb/fiqa
|
| 4913 |
config: default
|
| 4914 |
-
|
| 4915 |
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
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|
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|
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| 4916 |
metrics:
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| 4917 |
- type: main_score
|
| 4918 |
value: 16.619
|
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@@ -5196,14 +5190,14 @@ model-index:
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|
| 5196 |
value: 12.485
|
| 5197 |
- type: recall_at_5
|
| 5198 |
value: 15.862000000000002
|
| 5199 |
-
|
| 5200 |
type: Retrieval
|
| 5201 |
-
|
| 5202 |
-
name: MTEB HotpotQA (default)
|
| 5203 |
-
type: mteb/hotpotqa
|
| 5204 |
config: default
|
| 5205 |
-
|
| 5206 |
revision: ab518f4d6fcca38d87c25209f94beba119d02014
|
|
|
|
|
|
|
| 5207 |
metrics:
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| 5208 |
- type: main_score
|
| 5209 |
value: 36.217
|
|
@@ -5487,14 +5481,14 @@ model-index:
|
|
| 5487 |
value: 30.311
|
| 5488 |
- type: recall_at_5
|
| 5489 |
value: 34.092
|
| 5490 |
-
|
| 5491 |
-
type:
|
| 5492 |
-
|
| 5493 |
-
name: MTEB ImdbClassification (default)
|
| 5494 |
-
type: mteb/imdb
|
| 5495 |
config: default
|
| 5496 |
-
|
| 5497 |
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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|
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|
|
|
|
| 5498 |
metrics:
|
| 5499 |
- type: accuracy
|
| 5500 |
value: 70.78
|
|
@@ -5508,14 +5502,14 @@ model-index:
|
|
| 5508 |
value: 70.56498155979408
|
| 5509 |
- type: main_score
|
| 5510 |
value: 70.78
|
| 5511 |
-
|
| 5512 |
-
type:
|
| 5513 |
-
|
| 5514 |
-
name: MTEB MSMARCO (default)
|
| 5515 |
-
type: mteb/msmarco
|
| 5516 |
config: default
|
| 5517 |
-
|
| 5518 |
revision: c5a29a104738b98a9e76336939199e264163d4a0
|
|
|
|
|
|
|
| 5519 |
metrics:
|
| 5520 |
- type: main_score
|
| 5521 |
value: 34.981
|
|
@@ -5799,14 +5793,14 @@ model-index:
|
|
| 5799 |
value: 2.8240000000000003
|
| 5800 |
- type: recall_at_5
|
| 5801 |
value: 4.476999999999999
|
| 5802 |
-
|
| 5803 |
-
type:
|
| 5804 |
-
|
| 5805 |
-
name: MTEB MTOPDomainClassification (en)
|
| 5806 |
-
type: mteb/mtop_domain
|
| 5807 |
config: en
|
| 5808 |
-
|
| 5809 |
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
|
|
|
|
|
|
| 5810 |
metrics:
|
| 5811 |
- type: accuracy
|
| 5812 |
value: 88.95576835385319
|
|
@@ -5816,14 +5810,14 @@ model-index:
|
|
| 5816 |
value: 89.00721562093213
|
| 5817 |
- type: main_score
|
| 5818 |
value: 88.95576835385319
|
| 5819 |
-
|
| 5820 |
type: Classification
|
| 5821 |
-
|
| 5822 |
-
name: MTEB MTOPIntentClassification (en)
|
| 5823 |
-
type: mteb/mtop_intent
|
| 5824 |
config: en
|
| 5825 |
-
|
| 5826 |
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
|
|
|
|
|
|
| 5827 |
metrics:
|
| 5828 |
- type: accuracy
|
| 5829 |
value: 56.99726402188783
|
|
@@ -5833,14 +5827,14 @@ model-index:
|
|
| 5833 |
value: 59.96788951671549
|
| 5834 |
- type: main_score
|
| 5835 |
value: 56.99726402188783
|
| 5836 |
-
|
| 5837 |
type: Classification
|
| 5838 |
-
|
| 5839 |
-
name: MTEB MassiveIntentClassification (en)
|
| 5840 |
-
type: mteb/amazon_massive_intent
|
| 5841 |
config: en
|
| 5842 |
-
|
| 5843 |
revision: 4672e20407010da34463acc759c162ca9734bca6
|
|
|
|
|
|
|
| 5844 |
metrics:
|
| 5845 |
- type: accuracy
|
| 5846 |
value: 63.79287155346336
|
|
@@ -5850,14 +5844,14 @@ model-index:
|
|
| 5850 |
value: 62.567311481126055
|
| 5851 |
- type: main_score
|
| 5852 |
value: 63.79287155346336
|
| 5853 |
-
|
| 5854 |
type: Classification
|
| 5855 |
-
|
| 5856 |
-
name: MTEB MassiveScenarioClassification (en)
|
| 5857 |
-
type: mteb/amazon_massive_scenario
|
| 5858 |
config: en
|
| 5859 |
-
|
| 5860 |
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
|
|
|
|
|
|
|
| 5861 |
metrics:
|
| 5862 |
- type: accuracy
|
| 5863 |
value: 70.30934767989241
|
|
@@ -5867,14 +5861,14 @@ model-index:
|
|
| 5867 |
value: 70.1128179307388
|
| 5868 |
- type: main_score
|
| 5869 |
value: 70.30934767989241
|
| 5870 |
-
|
| 5871 |
-
type:
|
| 5872 |
-
|
|
|
|
| 5873 |
name: MTEB MedrxivClusteringP2P (default)
|
|
|
|
|
|
|
| 5874 |
type: mteb/medrxiv-clustering-p2p
|
| 5875 |
-
config: default
|
| 5876 |
-
split: test
|
| 5877 |
-
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 5878 |
metrics:
|
| 5879 |
- type: main_score
|
| 5880 |
value: 27.61734940907637
|
|
@@ -5882,14 +5876,14 @@ model-index:
|
|
| 5882 |
value: 27.61734940907637
|
| 5883 |
- type: v_measure_std
|
| 5884 |
value: 1.2248100208316097
|
| 5885 |
-
|
| 5886 |
type: Clustering
|
| 5887 |
-
|
| 5888 |
-
name: MTEB MedrxivClusteringS2S (default)
|
| 5889 |
-
type: mteb/medrxiv-clustering-s2s
|
| 5890 |
config: default
|
| 5891 |
-
|
| 5892 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
|
|
|
|
|
|
| 5893 |
metrics:
|
| 5894 |
- type: main_score
|
| 5895 |
value: 23.802943866708308
|
|
@@ -5897,14 +5891,14 @@ model-index:
|
|
| 5897 |
value: 23.802943866708308
|
| 5898 |
- type: v_measure_std
|
| 5899 |
value: 1.4975518910969763
|
| 5900 |
-
|
| 5901 |
-
type:
|
| 5902 |
-
|
| 5903 |
-
name: MTEB MindSmallReranking (default)
|
| 5904 |
-
type: mteb/mind_small
|
| 5905 |
config: default
|
| 5906 |
-
|
| 5907 |
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
|
|
|
|
|
|
|
| 5908 |
metrics:
|
| 5909 |
- type: main_score
|
| 5910 |
value: 29.431722284942175
|
|
@@ -5924,14 +5918,14 @@ model-index:
|
|
| 5924 |
value: -17.42779158552557
|
| 5925 |
- type: nAUC_mrr_std
|
| 5926 |
value: -5.997215692334967
|
| 5927 |
-
|
| 5928 |
-
type:
|
| 5929 |
-
|
| 5930 |
-
name: MTEB NFCorpus (default)
|
| 5931 |
-
type: mteb/nfcorpus
|
| 5932 |
config: default
|
| 5933 |
-
|
| 5934 |
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
|
|
|
|
|
|
|
| 5935 |
metrics:
|
| 5936 |
- type: main_score
|
| 5937 |
value: 24.267
|
|
@@ -6215,14 +6209,14 @@ model-index:
|
|
| 6215 |
value: 7.236
|
| 6216 |
- type: recall_at_5
|
| 6217 |
value: 9.003
|
| 6218 |
-
|
| 6219 |
type: Retrieval
|
| 6220 |
-
|
| 6221 |
-
name: MTEB NQ (default)
|
| 6222 |
-
type: mteb/nq
|
| 6223 |
config: default
|
| 6224 |
-
|
| 6225 |
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
|
|
|
|
|
|
|
| 6226 |
metrics:
|
| 6227 |
- type: main_score
|
| 6228 |
value: 19.543
|
|
@@ -6506,14 +6500,14 @@ model-index:
|
|
| 6506 |
value: 17.669
|
| 6507 |
- type: recall_at_5
|
| 6508 |
value: 23.488999999999997
|
| 6509 |
-
|
| 6510 |
type: Retrieval
|
| 6511 |
-
|
| 6512 |
-
name: MTEB QuoraRetrieval (default)
|
| 6513 |
-
type: mteb/quora
|
| 6514 |
config: default
|
| 6515 |
-
|
| 6516 |
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
|
|
|
|
|
|
|
| 6517 |
metrics:
|
| 6518 |
- type: main_score
|
| 6519 |
value: 80.598
|
|
@@ -6797,14 +6791,14 @@ model-index:
|
|
| 6797 |
value: 79.074
|
| 6798 |
- type: recall_at_5
|
| 6799 |
value: 84.143
|
| 6800 |
-
|
| 6801 |
-
type:
|
| 6802 |
-
|
| 6803 |
-
name: MTEB RedditClustering (default)
|
| 6804 |
-
type: mteb/reddit-clustering
|
| 6805 |
config: default
|
| 6806 |
-
|
| 6807 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
|
|
|
|
|
|
| 6808 |
metrics:
|
| 6809 |
- type: main_score
|
| 6810 |
value: 39.5465127563479
|
|
@@ -6812,14 +6806,14 @@ model-index:
|
|
| 6812 |
value: 39.5465127563479
|
| 6813 |
- type: v_measure_std
|
| 6814 |
value: 5.038703300031419
|
| 6815 |
-
|
| 6816 |
type: Clustering
|
| 6817 |
-
|
| 6818 |
-
name: MTEB RedditClusteringP2P (default)
|
| 6819 |
-
type: mteb/reddit-clustering-p2p
|
| 6820 |
config: default
|
| 6821 |
-
|
| 6822 |
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
|
|
|
|
|
|
| 6823 |
metrics:
|
| 6824 |
- type: main_score
|
| 6825 |
value: 47.07911795189491
|
|
@@ -6827,14 +6821,14 @@ model-index:
|
|
| 6827 |
value: 47.07911795189491
|
| 6828 |
- type: v_measure_std
|
| 6829 |
value: 11.546436135362846
|
| 6830 |
-
|
| 6831 |
-
type:
|
| 6832 |
-
|
| 6833 |
-
name: MTEB SCIDOCS (default)
|
| 6834 |
-
type: mteb/scidocs
|
| 6835 |
config: default
|
| 6836 |
-
|
| 6837 |
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
|
|
|
|
|
|
|
| 6838 |
metrics:
|
| 6839 |
- type: main_score
|
| 6840 |
value: 12.386999999999999
|
|
@@ -7118,14 +7112,14 @@ model-index:
|
|
| 7118 |
value: 6.553000000000001
|
| 7119 |
- type: recall_at_5
|
| 7120 |
value: 9.013
|
| 7121 |
-
|
| 7122 |
-
type:
|
| 7123 |
-
|
| 7124 |
-
name: MTEB SICK-R (default)
|
| 7125 |
-
type: mteb/sickr-sts
|
| 7126 |
config: default
|
| 7127 |
-
|
| 7128 |
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
|
|
|
|
|
|
| 7129 |
metrics:
|
| 7130 |
- type: cosine_pearson
|
| 7131 |
value: 75.67336823619708
|
|
@@ -7145,14 +7139,14 @@ model-index:
|
|
| 7145 |
value: 75.67336823619708
|
| 7146 |
- type: spearman
|
| 7147 |
value: 64.6753400763881
|
| 7148 |
-
|
| 7149 |
type: STS
|
| 7150 |
-
|
| 7151 |
-
name: MTEB STS12 (default)
|
| 7152 |
-
type: mteb/sts12-sts
|
| 7153 |
config: default
|
| 7154 |
-
|
| 7155 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
|
|
|
|
|
|
| 7156 |
metrics:
|
| 7157 |
- type: cosine_pearson
|
| 7158 |
value: 72.06681927996405
|
|
@@ -7172,14 +7166,14 @@ model-index:
|
|
| 7172 |
value: 72.06681927996405
|
| 7173 |
- type: spearman
|
| 7174 |
value: 62.248985055530525
|
| 7175 |
-
|
| 7176 |
type: STS
|
| 7177 |
-
|
| 7178 |
-
name: MTEB STS13 (default)
|
| 7179 |
-
type: mteb/sts13-sts
|
| 7180 |
config: default
|
| 7181 |
-
|
| 7182 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
|
|
|
|
|
|
| 7183 |
metrics:
|
| 7184 |
- type: cosine_pearson
|
| 7185 |
value: 76.53983680018591
|
|
@@ -7199,14 +7193,14 @@ model-index:
|
|
| 7199 |
value: 76.53983680018591
|
| 7200 |
- type: spearman
|
| 7201 |
value: 77.27600787572996
|
| 7202 |
-
|
| 7203 |
type: STS
|
| 7204 |
-
|
| 7205 |
-
name: MTEB STS14 (default)
|
| 7206 |
-
type: mteb/sts14-sts
|
| 7207 |
config: default
|
| 7208 |
-
|
| 7209 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
|
|
|
|
|
|
| 7210 |
metrics:
|
| 7211 |
- type: cosine_pearson
|
| 7212 |
value: 76.20854411766629
|
|
@@ -7226,14 +7220,14 @@ model-index:
|
|
| 7226 |
value: 76.20854411766629
|
| 7227 |
- type: spearman
|
| 7228 |
value: 71.914099628002
|
| 7229 |
-
|
| 7230 |
type: STS
|
| 7231 |
-
|
| 7232 |
-
name: MTEB STS15 (default)
|
| 7233 |
-
type: mteb/sts15-sts
|
| 7234 |
config: default
|
| 7235 |
-
|
| 7236 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
|
|
|
|
|
|
| 7237 |
metrics:
|
| 7238 |
- type: cosine_pearson
|
| 7239 |
value: 79.24273419832653
|
|
@@ -7253,14 +7247,14 @@ model-index:
|
|
| 7253 |
value: 79.24273419832653
|
| 7254 |
- type: spearman
|
| 7255 |
value: 79.75345871163103
|
| 7256 |
-
|
| 7257 |
type: STS
|
| 7258 |
-
|
| 7259 |
-
name: MTEB STS16 (default)
|
| 7260 |
-
type: mteb/sts16-sts
|
| 7261 |
config: default
|
| 7262 |
-
|
| 7263 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
|
|
|
|
|
|
| 7264 |
metrics:
|
| 7265 |
- type: cosine_pearson
|
| 7266 |
value: 75.64452330127995
|
|
@@ -7280,14 +7274,14 @@ model-index:
|
|
| 7280 |
value: 75.64452330127995
|
| 7281 |
- type: spearman
|
| 7282 |
value: 76.26343823222666
|
| 7283 |
-
|
| 7284 |
type: STS
|
| 7285 |
-
|
| 7286 |
-
name: MTEB STS17 (es-en)
|
| 7287 |
-
type: mteb/sts17-crosslingual-sts
|
| 7288 |
config: es-en
|
| 7289 |
-
|
| 7290 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7291 |
metrics:
|
| 7292 |
- type: cosine_pearson
|
| 7293 |
value: 17.52217310066287
|
|
@@ -7307,14 +7301,14 @@ model-index:
|
|
| 7307 |
value: 17.52217310066287
|
| 7308 |
- type: spearman
|
| 7309 |
value: 14.729958484232528
|
| 7310 |
-
|
| 7311 |
type: STS
|
| 7312 |
-
|
| 7313 |
-
name: MTEB STS17 (en-en)
|
| 7314 |
-
type: mteb/sts17-crosslingual-sts
|
| 7315 |
config: en-en
|
| 7316 |
-
|
| 7317 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7318 |
metrics:
|
| 7319 |
- type: cosine_pearson
|
| 7320 |
value: 84.67406984717113
|
|
@@ -7334,14 +7328,14 @@ model-index:
|
|
| 7334 |
value: 84.67406984717113
|
| 7335 |
- type: spearman
|
| 7336 |
value: 85.96709815630739
|
| 7337 |
-
|
| 7338 |
type: STS
|
| 7339 |
-
|
| 7340 |
-
name: MTEB STS17 (fr-en)
|
| 7341 |
-
type: mteb/sts17-crosslingual-sts
|
| 7342 |
config: fr-en
|
| 7343 |
-
|
| 7344 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7345 |
metrics:
|
| 7346 |
- type: cosine_pearson
|
| 7347 |
value: 36.02331692863771
|
|
@@ -7361,14 +7355,14 @@ model-index:
|
|
| 7361 |
value: 36.02331692863771
|
| 7362 |
- type: spearman
|
| 7363 |
value: 34.28540470062557
|
| 7364 |
-
|
| 7365 |
type: STS
|
| 7366 |
-
|
| 7367 |
-
name: MTEB STS17 (en-tr)
|
| 7368 |
-
type: mteb/sts17-crosslingual-sts
|
| 7369 |
config: en-tr
|
| 7370 |
-
|
| 7371 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7372 |
metrics:
|
| 7373 |
- type: cosine_pearson
|
| 7374 |
value: 13.925983981770388
|
|
@@ -7388,14 +7382,14 @@ model-index:
|
|
| 7388 |
value: 13.925983981770388
|
| 7389 |
- type: spearman
|
| 7390 |
value: 11.193291331109325
|
| 7391 |
-
|
| 7392 |
type: STS
|
| 7393 |
-
|
| 7394 |
-
name: MTEB STS17 (en-de)
|
| 7395 |
-
type: mteb/sts17-crosslingual-sts
|
| 7396 |
config: en-de
|
| 7397 |
-
|
| 7398 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7399 |
metrics:
|
| 7400 |
- type: cosine_pearson
|
| 7401 |
value: 26.77839285232968
|
|
@@ -7415,14 +7409,14 @@ model-index:
|
|
| 7415 |
value: 26.77839285232968
|
| 7416 |
- type: spearman
|
| 7417 |
value: 23.010015986939717
|
| 7418 |
-
|
| 7419 |
type: STS
|
| 7420 |
-
|
| 7421 |
-
name: MTEB STS17 (it-en)
|
| 7422 |
-
type: mteb/sts17-crosslingual-sts
|
| 7423 |
config: it-en
|
| 7424 |
-
|
| 7425 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7426 |
metrics:
|
| 7427 |
- type: cosine_pearson
|
| 7428 |
value: 25.330935194314364
|
|
@@ -7442,14 +7436,14 @@ model-index:
|
|
| 7442 |
value: 25.330935194314364
|
| 7443 |
- type: spearman
|
| 7444 |
value: 23.143555348782797
|
| 7445 |
-
|
| 7446 |
type: STS
|
| 7447 |
-
|
| 7448 |
-
name: MTEB STS17 (en-ar)
|
| 7449 |
-
type: mteb/sts17-crosslingual-sts
|
| 7450 |
config: en-ar
|
| 7451 |
-
|
| 7452 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7453 |
metrics:
|
| 7454 |
- type: cosine_pearson
|
| 7455 |
value: 6.61651078645899
|
|
@@ -7469,14 +7463,14 @@ model-index:
|
|
| 7469 |
value: 6.61651078645899
|
| 7470 |
- type: spearman
|
| 7471 |
value: 5.415104433010482
|
| 7472 |
-
|
| 7473 |
type: STS
|
| 7474 |
-
|
| 7475 |
-
name: MTEB STS17 (nl-en)
|
| 7476 |
-
type: mteb/sts17-crosslingual-sts
|
| 7477 |
config: nl-en
|
| 7478 |
-
|
| 7479 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
|
|
|
|
|
|
| 7480 |
metrics:
|
| 7481 |
- type: cosine_pearson
|
| 7482 |
value: 32.718045784523184
|
|
@@ -7496,14 +7490,14 @@ model-index:
|
|
| 7496 |
value: 32.718045784523184
|
| 7497 |
- type: spearman
|
| 7498 |
value: 27.52844368619317
|
| 7499 |
-
|
| 7500 |
type: STS
|
| 7501 |
-
|
| 7502 |
-
name: MTEB STS22 (es-en)
|
| 7503 |
-
type: mteb/sts22-crosslingual-sts
|
| 7504 |
config: es-en
|
| 7505 |
-
|
| 7506 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
|
|
|
|
|
|
| 7507 |
metrics:
|
| 7508 |
- type: cosine_pearson
|
| 7509 |
value: 9.98410299881163
|
|
@@ -7523,14 +7517,14 @@ model-index:
|
|
| 7523 |
value: 9.98410299881163
|
| 7524 |
- type: spearman
|
| 7525 |
value: 10.98684405086525
|
| 7526 |
-
|
| 7527 |
type: STS
|
| 7528 |
-
|
| 7529 |
-
name: MTEB STS22 (en)
|
| 7530 |
-
type: mteb/sts22-crosslingual-sts
|
| 7531 |
config: en
|
| 7532 |
-
|
| 7533 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
|
|
|
|
|
|
| 7534 |
metrics:
|
| 7535 |
- type: cosine_pearson
|
| 7536 |
value: 59.3180680265132
|
|
@@ -7550,14 +7544,14 @@ model-index:
|
|
| 7550 |
value: 59.3180680265132
|
| 7551 |
- type: spearman
|
| 7552 |
value: 63.07956002739231
|
| 7553 |
-
|
| 7554 |
type: STS
|
| 7555 |
-
|
| 7556 |
-
name: MTEB STS22 (de-en)
|
| 7557 |
-
type: mteb/sts22-crosslingual-sts
|
| 7558 |
config: de-en
|
| 7559 |
-
|
| 7560 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
|
|
|
|
|
|
| 7561 |
metrics:
|
| 7562 |
- type: cosine_pearson
|
| 7563 |
value: 29.061215770374826
|
|
@@ -7577,14 +7571,14 @@ model-index:
|
|
| 7577 |
value: 29.061215770374826
|
| 7578 |
- type: spearman
|
| 7579 |
value: 36.21441725938738
|
| 7580 |
-
|
| 7581 |
type: STS
|
| 7582 |
-
|
| 7583 |
-
name: MTEB STS22 (zh-en)
|
| 7584 |
-
type: mteb/sts22-crosslingual-sts
|
| 7585 |
config: zh-en
|
| 7586 |
-
|
| 7587 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
|
|
|
|
|
|
| 7588 |
metrics:
|
| 7589 |
- type: cosine_pearson
|
| 7590 |
value: 11.266385865086239
|
|
@@ -7604,14 +7598,14 @@ model-index:
|
|
| 7604 |
value: 11.266385865086239
|
| 7605 |
- type: spearman
|
| 7606 |
value: 17.291293843893733
|
| 7607 |
-
|
| 7608 |
type: STS
|
| 7609 |
-
|
| 7610 |
-
name: MTEB STS22 (pl-en)
|
| 7611 |
-
type: mteb/sts22-crosslingual-sts
|
| 7612 |
config: pl-en
|
| 7613 |
-
|
| 7614 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
|
|
|
|
|
|
| 7615 |
metrics:
|
| 7616 |
- type: cosine_pearson
|
| 7617 |
value: 9.647587208410648
|
|
@@ -7631,14 +7625,14 @@ model-index:
|
|
| 7631 |
value: 9.647587208410648
|
| 7632 |
- type: spearman
|
| 7633 |
value: 21.33739699413266
|
| 7634 |
-
|
| 7635 |
type: STS
|
| 7636 |
-
|
| 7637 |
-
name: MTEB STSBenchmark (default)
|
| 7638 |
-
type: mteb/stsbenchmark-sts
|
| 7639 |
config: default
|
| 7640 |
-
|
| 7641 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
|
|
|
|
|
|
| 7642 |
metrics:
|
| 7643 |
- type: cosine_pearson
|
| 7644 |
value: 77.2598255013409
|
|
@@ -7658,14 +7652,14 @@ model-index:
|
|
| 7658 |
value: 77.2598255013409
|
| 7659 |
- type: spearman
|
| 7660 |
value: 75.40519061413276
|
| 7661 |
-
|
| 7662 |
-
type:
|
| 7663 |
-
|
| 7664 |
-
name: MTEB SciDocsRR (default)
|
| 7665 |
-
type: mteb/scidocs-reranking
|
| 7666 |
config: default
|
| 7667 |
-
|
| 7668 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
|
|
|
|
|
|
| 7669 |
metrics:
|
| 7670 |
- type: main_score
|
| 7671 |
value: 72.10127087089839
|
|
@@ -7685,14 +7679,14 @@ model-index:
|
|
| 7685 |
value: 74.90946175462605
|
| 7686 |
- type: nAUC_mrr_std
|
| 7687 |
value: 71.81332269641806
|
| 7688 |
-
|
| 7689 |
-
type:
|
| 7690 |
-
|
| 7691 |
-
name: MTEB SciFact (default)
|
| 7692 |
-
type: mteb/scifact
|
| 7693 |
config: default
|
| 7694 |
-
|
| 7695 |
revision: 0228b52cf27578f30900b9e5271d331663a030d7
|
|
|
|
|
|
|
| 7696 |
metrics:
|
| 7697 |
- type: main_score
|
| 7698 |
value: 50.63999999999999
|
|
@@ -7976,14 +7970,14 @@ model-index:
|
|
| 7976 |
value: 50.306
|
| 7977 |
- type: recall_at_5
|
| 7978 |
value: 57.443999999999996
|
| 7979 |
-
|
| 7980 |
-
type:
|
| 7981 |
-
|
| 7982 |
-
name: MTEB SprintDuplicateQuestions (default)
|
| 7983 |
-
type: mteb/sprintduplicatequestions-pairclassification
|
| 7984 |
config: default
|
| 7985 |
-
|
| 7986 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
|
|
|
|
|
|
| 7987 |
metrics:
|
| 7988 |
- type: cosine_accuracy
|
| 7989 |
value: 99.71386138613862
|
|
@@ -8067,14 +8061,14 @@ model-index:
|
|
| 8067 |
value: 85.7727737973388
|
| 8068 |
- type: similarity_recall
|
| 8069 |
value: 83.8
|
| 8070 |
-
|
| 8071 |
-
type:
|
| 8072 |
-
|
| 8073 |
-
name: MTEB StackExchangeClustering (default)
|
| 8074 |
-
type: mteb/stackexchange-clustering
|
| 8075 |
config: default
|
| 8076 |
-
|
| 8077 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
|
|
|
|
|
|
| 8078 |
metrics:
|
| 8079 |
- type: main_score
|
| 8080 |
value: 48.18939518021159
|
|
@@ -8082,14 +8076,14 @@ model-index:
|
|
| 8082 |
value: 48.18939518021159
|
| 8083 |
- type: v_measure_std
|
| 8084 |
value: 4.6189444340187995
|
| 8085 |
-
|
| 8086 |
type: Clustering
|
| 8087 |
-
|
| 8088 |
-
name: MTEB StackExchangeClusteringP2P (default)
|
| 8089 |
-
type: mteb/stackexchange-clustering-p2p
|
| 8090 |
config: default
|
| 8091 |
-
|
| 8092 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
|
|
|
|
|
|
| 8093 |
metrics:
|
| 8094 |
- type: main_score
|
| 8095 |
value: 30.743938802421265
|
|
@@ -8097,14 +8091,14 @@ model-index:
|
|
| 8097 |
value: 30.743938802421265
|
| 8098 |
- type: v_measure_std
|
| 8099 |
value: 1.4645401677053824
|
| 8100 |
-
|
| 8101 |
-
type:
|
| 8102 |
-
|
| 8103 |
-
name: MTEB StackOverflowDupQuestions (default)
|
| 8104 |
-
type: mteb/stackoverflowdupquestions-reranking
|
| 8105 |
config: default
|
| 8106 |
-
|
| 8107 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
|
|
|
|
|
|
| 8108 |
metrics:
|
| 8109 |
- type: main_score
|
| 8110 |
value: 43.254152892780986
|
|
@@ -8124,14 +8118,14 @@ model-index:
|
|
| 8124 |
value: 14.093758435205075
|
| 8125 |
- type: nAUC_mrr_std
|
| 8126 |
value: 4.198791420159734
|
| 8127 |
-
|
| 8128 |
-
type:
|
| 8129 |
-
|
| 8130 |
-
name: MTEB SummEval (default)
|
| 8131 |
-
type: mteb/summeval
|
| 8132 |
config: default
|
| 8133 |
-
|
| 8134 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
|
|
|
|
|
|
| 8135 |
metrics:
|
| 8136 |
- type: cosine_pearson
|
| 8137 |
value: 29.88360050203766
|
|
@@ -8147,14 +8141,14 @@ model-index:
|
|
| 8147 |
value: 29.88360050203766
|
| 8148 |
- type: spearman
|
| 8149 |
value: 29.275185932109494
|
| 8150 |
-
|
| 8151 |
-
type:
|
| 8152 |
-
|
| 8153 |
-
name: MTEB TRECCOVID (default)
|
| 8154 |
-
type: mteb/trec-covid
|
| 8155 |
config: default
|
| 8156 |
-
|
| 8157 |
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
|
|
|
|
|
|
|
| 8158 |
metrics:
|
| 8159 |
- type: main_score
|
| 8160 |
value: 45.747
|
|
@@ -8438,14 +8432,14 @@ model-index:
|
|
| 8438 |
value: 0.395
|
| 8439 |
- type: recall_at_5
|
| 8440 |
value: 0.628
|
| 8441 |
-
|
| 8442 |
type: Retrieval
|
| 8443 |
-
|
| 8444 |
-
name: MTEB Touche2020 (default)
|
| 8445 |
-
type: mteb/touche2020
|
| 8446 |
config: default
|
| 8447 |
-
|
| 8448 |
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
|
|
|
|
|
|
|
| 8449 |
metrics:
|
| 8450 |
- type: main_score
|
| 8451 |
value: 18.618000000000002
|
|
@@ -8729,14 +8723,14 @@ model-index:
|
|
| 8729 |
value: 4.2540000000000004
|
| 8730 |
- type: recall_at_5
|
| 8731 |
value: 7.142999999999999
|
| 8732 |
-
|
| 8733 |
-
type:
|
| 8734 |
-
|
| 8735 |
-
name: MTEB ToxicConversationsClassification (default)
|
| 8736 |
-
type: mteb/toxic_conversations_50k
|
| 8737 |
config: default
|
| 8738 |
-
|
| 8739 |
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
|
|
|
|
|
|
| 8740 |
metrics:
|
| 8741 |
- type: accuracy
|
| 8742 |
value: 69.0625
|
|
@@ -8750,14 +8744,14 @@ model-index:
|
|
| 8750 |
value: 75.91632061778698
|
| 8751 |
- type: main_score
|
| 8752 |
value: 69.0625
|
| 8753 |
-
|
| 8754 |
type: Classification
|
| 8755 |
-
|
| 8756 |
-
name: MTEB TweetSentimentExtractionClassification (default)
|
| 8757 |
-
type: mteb/tweet_sentiment_extraction
|
| 8758 |
config: default
|
| 8759 |
-
|
| 8760 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
|
|
|
|
|
|
| 8761 |
metrics:
|
| 8762 |
- type: accuracy
|
| 8763 |
value: 55.387662705149964
|
|
@@ -8767,14 +8761,14 @@ model-index:
|
|
| 8767 |
value: 55.01561915660653
|
| 8768 |
- type: main_score
|
| 8769 |
value: 55.387662705149964
|
| 8770 |
-
|
| 8771 |
-
type:
|
| 8772 |
-
|
| 8773 |
-
name: MTEB TwentyNewsgroupsClustering (default)
|
| 8774 |
-
type: mteb/twentynewsgroups-clustering
|
| 8775 |
config: default
|
| 8776 |
-
|
| 8777 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
|
|
|
|
|
|
| 8778 |
metrics:
|
| 8779 |
- type: main_score
|
| 8780 |
value: 33.535908963951435
|
|
@@ -8782,14 +8776,14 @@ model-index:
|
|
| 8782 |
value: 33.535908963951435
|
| 8783 |
- type: v_measure_std
|
| 8784 |
value: 1.8862804680454297
|
| 8785 |
-
|
| 8786 |
-
type:
|
| 8787 |
-
|
| 8788 |
-
name: MTEB TwitterSemEval2015 (default)
|
| 8789 |
-
type: mteb/twittersemeval2015-pairclassification
|
| 8790 |
config: default
|
| 8791 |
-
|
| 8792 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
|
|
|
|
|
|
| 8793 |
metrics:
|
| 8794 |
- type: cosine_accuracy
|
| 8795 |
value: 81.57000655659535
|
|
@@ -8873,14 +8867,14 @@ model-index:
|
|
| 8873 |
value: 47.93632075471698
|
| 8874 |
- type: similarity_recall
|
| 8875 |
value: 64.35356200527704
|
| 8876 |
-
|
| 8877 |
type: PairClassification
|
| 8878 |
-
|
| 8879 |
-
name: MTEB TwitterURLCorpus (default)
|
| 8880 |
-
type: mteb/twitterurlcorpus-pairclassification
|
| 8881 |
config: default
|
| 8882 |
-
|
| 8883 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
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| 8884 |
metrics:
|
| 8885 |
- type: cosine_accuracy
|
| 8886 |
value: 87.09977878682035
|
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@@ -8964,10 +8958,22 @@ model-index:
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| 8964 |
value: 70.7599466704091
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| 8965 |
- type: similarity_recall
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| 8966 |
value: 77.64089929165382
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| 8967 |
---
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| 8968 |
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| 8969 |
# potion-base-8M Model Card
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| 8971 |
This [Model2Vec](https://github.com/MinishLab/model2vec) model is pre-trained using [Tokenlearn](https://github.com/MinishLab/tokenlearn). It is a distilled version of the [baai/bge-base-en-v1.5](https://huggingface.co/baai/bge-base-en-v1.5) Sentence Transformer. It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.
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| 8972 |
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| 8973 |
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| 1 |
---
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| 2 |
library_name: model2vec
|
| 3 |
license: mit
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| 4 |
model-index:
|
| 5 |
- name: potion-base-8M
|
| 6 |
results:
|
| 7 |
+
- dataset:
|
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|
| 8 |
config: en-ext
|
| 9 |
+
name: MTEB AmazonCounterfactualClassification (en-ext)
|
| 10 |
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 11 |
+
split: test
|
| 12 |
+
type: mteb/amazon_counterfactual
|
| 13 |
metrics:
|
| 14 |
- type: accuracy
|
| 15 |
value: 72.15142428785607
|
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|
| 23 |
value: 77.34906471545477
|
| 24 |
- type: main_score
|
| 25 |
value: 72.15142428785607
|
| 26 |
+
task:
|
| 27 |
type: Classification
|
| 28 |
+
- dataset:
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|
| 29 |
config: en
|
| 30 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 31 |
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 32 |
+
split: test
|
| 33 |
+
type: mteb/amazon_counterfactual
|
| 34 |
metrics:
|
| 35 |
- type: accuracy
|
| 36 |
value: 71.7910447761194
|
|
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|
| 44 |
value: 74.32788084269461
|
| 45 |
- type: main_score
|
| 46 |
value: 71.7910447761194
|
| 47 |
+
task:
|
| 48 |
type: Classification
|
| 49 |
+
- dataset:
|
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|
| 50 |
config: default
|
| 51 |
+
name: MTEB AmazonPolarityClassification (default)
|
| 52 |
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 53 |
+
split: test
|
| 54 |
+
type: mteb/amazon_polarity
|
| 55 |
metrics:
|
| 56 |
- type: accuracy
|
| 57 |
value: 72.47644999999999
|
|
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|
| 65 |
value: 72.2600863044581
|
| 66 |
- type: main_score
|
| 67 |
value: 72.47644999999999
|
| 68 |
+
task:
|
| 69 |
type: Classification
|
| 70 |
+
- dataset:
|
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|
| 71 |
config: en
|
| 72 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 73 |
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 74 |
+
split: test
|
| 75 |
+
type: mteb/amazon_reviews_multi
|
| 76 |
metrics:
|
| 77 |
- type: accuracy
|
| 78 |
value: 36.012
|
|
|
|
| 82 |
value: 35.38209336470206
|
| 83 |
- type: main_score
|
| 84 |
value: 36.012
|
| 85 |
+
task:
|
| 86 |
+
type: Classification
|
| 87 |
+
- dataset:
|
|
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|
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|
|
| 88 |
config: default
|
| 89 |
+
name: MTEB ArguAna (default)
|
| 90 |
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
|
| 91 |
+
split: test
|
| 92 |
+
type: mteb/arguana
|
| 93 |
metrics:
|
| 94 |
- type: main_score
|
| 95 |
value: 41.966
|
|
|
|
| 373 |
value: 42.888
|
| 374 |
- type: recall_at_5
|
| 375 |
value: 52.063
|
| 376 |
+
task:
|
| 377 |
+
type: Retrieval
|
| 378 |
+
- dataset:
|
|
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|
| 379 |
config: default
|
| 380 |
+
name: MTEB ArxivClusteringP2P (default)
|
| 381 |
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 382 |
+
split: test
|
| 383 |
+
type: mteb/arxiv-clustering-p2p
|
| 384 |
metrics:
|
| 385 |
- type: main_score
|
| 386 |
value: 35.387660145946825
|
|
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|
| 388 |
value: 35.387660145946825
|
| 389 |
- type: v_measure_std
|
| 390 |
value: 14.022525689022785
|
| 391 |
+
task:
|
| 392 |
type: Clustering
|
| 393 |
+
- dataset:
|
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|
| 394 |
config: default
|
| 395 |
+
name: MTEB ArxivClusteringS2S (default)
|
| 396 |
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 397 |
+
split: test
|
| 398 |
+
type: mteb/arxiv-clustering-s2s
|
| 399 |
metrics:
|
| 400 |
- type: main_score
|
| 401 |
value: 25.26058942964131
|
|
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|
| 403 |
value: 25.26058942964131
|
| 404 |
- type: v_measure_std
|
| 405 |
value: 14.850432186356857
|
| 406 |
+
task:
|
| 407 |
+
type: Clustering
|
| 408 |
+
- dataset:
|
|
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|
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|
| 409 |
config: default
|
| 410 |
+
name: MTEB AskUbuntuDupQuestions (default)
|
| 411 |
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 412 |
+
split: test
|
| 413 |
+
type: mteb/askubuntudupquestions-reranking
|
| 414 |
metrics:
|
| 415 |
- type: main_score
|
| 416 |
value: 54.13950871400633
|
|
|
|
| 430 |
value: 21.861692980537956
|
| 431 |
- type: nAUC_mrr_std
|
| 432 |
value: 8.256966784037171
|
| 433 |
+
task:
|
| 434 |
+
type: Reranking
|
| 435 |
+
- dataset:
|
|
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|
| 436 |
config: default
|
| 437 |
+
name: MTEB BIOSSES (default)
|
| 438 |
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 439 |
+
split: test
|
| 440 |
+
type: mteb/biosses-sts
|
| 441 |
metrics:
|
| 442 |
- type: cosine_pearson
|
| 443 |
value: 79.11612010879227
|
|
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|
| 457 |
value: 79.11612010879227
|
| 458 |
- type: spearman
|
| 459 |
value: 75.85775256673794
|
| 460 |
+
task:
|
| 461 |
+
type: STS
|
| 462 |
+
- dataset:
|
|
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|
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|
| 463 |
config: default
|
| 464 |
+
name: MTEB Banking77Classification (default)
|
| 465 |
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 466 |
+
split: test
|
| 467 |
+
type: mteb/banking77
|
| 468 |
metrics:
|
| 469 |
- type: accuracy
|
| 470 |
value: 72.63636363636363
|
|
|
|
| 474 |
value: 71.69751597573539
|
| 475 |
- type: main_score
|
| 476 |
value: 72.63636363636363
|
| 477 |
+
task:
|
| 478 |
+
type: Classification
|
| 479 |
+
- dataset:
|
|
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|
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|
| 480 |
config: default
|
| 481 |
+
name: MTEB BiorxivClusteringP2P (default)
|
| 482 |
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 483 |
+
split: test
|
| 484 |
+
type: mteb/biorxiv-clustering-p2p
|
| 485 |
metrics:
|
| 486 |
- type: main_score
|
| 487 |
value: 30.861840536151014
|
|
|
|
| 489 |
value: 30.861840536151014
|
| 490 |
- type: v_measure_std
|
| 491 |
value: 0.8096483751274005
|
| 492 |
+
task:
|
| 493 |
type: Clustering
|
| 494 |
+
- dataset:
|
|
|
|
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|
| 495 |
config: default
|
| 496 |
+
name: MTEB BiorxivClusteringS2S (default)
|
| 497 |
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 498 |
+
split: test
|
| 499 |
+
type: mteb/biorxiv-clustering-s2s
|
| 500 |
metrics:
|
| 501 |
- type: main_score
|
| 502 |
value: 20.219544420664455
|
|
|
|
| 504 |
value: 20.219544420664455
|
| 505 |
- type: v_measure_std
|
| 506 |
value: 0.7431903039116942
|
| 507 |
+
task:
|
| 508 |
+
type: Clustering
|
| 509 |
+
- dataset:
|
|
|
|
|
|
|
| 510 |
config: default
|
| 511 |
+
name: MTEB CQADupstackAndroidRetrieval (default)
|
| 512 |
revision: f46a197baaae43b4f621051089b82a364682dfeb
|
| 513 |
+
split: test
|
| 514 |
+
type: mteb/cqadupstack-android
|
| 515 |
metrics:
|
| 516 |
- type: main_score
|
| 517 |
value: 31.835
|
|
|
|
| 795 |
value: 29.301
|
| 796 |
- type: recall_at_5
|
| 797 |
value: 33.918
|
| 798 |
+
task:
|
| 799 |
type: Retrieval
|
| 800 |
+
- dataset:
|
|
|
|
|
|
|
| 801 |
config: default
|
| 802 |
+
name: MTEB CQADupstackEnglishRetrieval (default)
|
| 803 |
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
|
| 804 |
+
split: test
|
| 805 |
+
type: mteb/cqadupstack-english
|
| 806 |
metrics:
|
| 807 |
- type: main_score
|
| 808 |
value: 25.734
|
|
|
|
| 1086 |
value: 23.54
|
| 1087 |
- type: recall_at_5
|
| 1088 |
value: 28.054000000000002
|
| 1089 |
+
task:
|
| 1090 |
type: Retrieval
|
| 1091 |
+
- dataset:
|
|
|
|
|
|
|
| 1092 |
config: default
|
| 1093 |
+
name: MTEB CQADupstackGamingRetrieval (default)
|
| 1094 |
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
|
| 1095 |
+
split: test
|
| 1096 |
+
type: mteb/cqadupstack-gaming
|
| 1097 |
metrics:
|
| 1098 |
- type: main_score
|
| 1099 |
value: 39.235
|
|
|
|
| 1377 |
value: 37.830999999999996
|
| 1378 |
- type: recall_at_5
|
| 1379 |
value: 43.811
|
| 1380 |
+
task:
|
| 1381 |
type: Retrieval
|
| 1382 |
+
- dataset:
|
|
|
|
|
|
|
| 1383 |
config: default
|
| 1384 |
+
name: MTEB CQADupstackGisRetrieval (default)
|
| 1385 |
revision: 5003b3064772da1887988e05400cf3806fe491f2
|
| 1386 |
+
split: test
|
| 1387 |
+
type: mteb/cqadupstack-gis
|
| 1388 |
metrics:
|
| 1389 |
- type: main_score
|
| 1390 |
value: 19.197
|
|
|
|
| 1668 |
value: 19.417
|
| 1669 |
- type: recall_at_5
|
| 1670 |
value: 23.577
|
| 1671 |
+
task:
|
| 1672 |
type: Retrieval
|
| 1673 |
+
- dataset:
|
|
|
|
|
|
|
| 1674 |
config: default
|
| 1675 |
+
name: MTEB CQADupstackMathematicaRetrieval (default)
|
| 1676 |
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
|
| 1677 |
+
split: test
|
| 1678 |
+
type: mteb/cqadupstack-mathematica
|
| 1679 |
metrics:
|
| 1680 |
- type: main_score
|
| 1681 |
value: 12.145
|
|
|
|
| 1959 |
value: 11.178
|
| 1960 |
- type: recall_at_5
|
| 1961 |
value: 13.877
|
| 1962 |
+
task:
|
| 1963 |
type: Retrieval
|
| 1964 |
+
- dataset:
|
|
|
|
|
|
|
| 1965 |
config: default
|
| 1966 |
+
name: MTEB CQADupstackPhysicsRetrieval (default)
|
| 1967 |
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
|
| 1968 |
+
split: test
|
| 1969 |
+
type: mteb/cqadupstack-physics
|
| 1970 |
metrics:
|
| 1971 |
- type: main_score
|
| 1972 |
value: 26.667999999999996
|
|
|
|
| 2250 |
value: 24.524
|
| 2251 |
- type: recall_at_5
|
| 2252 |
value: 28.787000000000003
|
| 2253 |
+
task:
|
| 2254 |
type: Retrieval
|
| 2255 |
+
- dataset:
|
|
|
|
|
|
|
| 2256 |
config: default
|
| 2257 |
+
name: MTEB CQADupstackProgrammersRetrieval (default)
|
| 2258 |
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
|
| 2259 |
+
split: test
|
| 2260 |
+
type: mteb/cqadupstack-programmers
|
| 2261 |
metrics:
|
| 2262 |
- type: main_score
|
| 2263 |
value: 21.66
|
|
|
|
| 2541 |
value: 19.79
|
| 2542 |
- type: recall_at_5
|
| 2543 |
value: 23.376
|
| 2544 |
+
task:
|
| 2545 |
type: Retrieval
|
| 2546 |
+
- dataset:
|
|
|
|
|
|
|
| 2547 |
config: default
|
| 2548 |
+
name: MTEB CQADupstackRetrieval (default)
|
| 2549 |
revision: CQADupstackRetrieval_is_a_combined_dataset
|
| 2550 |
+
split: test
|
| 2551 |
+
type: CQADupstackRetrieval_is_a_combined_dataset
|
| 2552 |
metrics:
|
| 2553 |
- type: main_score
|
| 2554 |
value: 22.302333333333333
|
| 2555 |
- type: ndcg_at_10
|
| 2556 |
value: 22.302333333333333
|
| 2557 |
+
task:
|
| 2558 |
type: Retrieval
|
| 2559 |
+
- dataset:
|
|
|
|
|
|
|
| 2560 |
config: default
|
| 2561 |
+
name: MTEB CQADupstackStatsRetrieval (default)
|
| 2562 |
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
|
| 2563 |
+
split: test
|
| 2564 |
+
type: mteb/cqadupstack-stats
|
| 2565 |
metrics:
|
| 2566 |
- type: main_score
|
| 2567 |
value: 17.253
|
|
|
|
| 2845 |
value: 17.134
|
| 2846 |
- type: recall_at_5
|
| 2847 |
value: 19.72
|
| 2848 |
+
task:
|
| 2849 |
type: Retrieval
|
| 2850 |
+
- dataset:
|
|
|
|
|
|
|
| 2851 |
config: default
|
| 2852 |
+
name: MTEB CQADupstackTexRetrieval (default)
|
| 2853 |
revision: 46989137a86843e03a6195de44b09deda022eec7
|
| 2854 |
+
split: test
|
| 2855 |
+
type: mteb/cqadupstack-tex
|
| 2856 |
metrics:
|
| 2857 |
- type: main_score
|
| 2858 |
value: 13.308
|
|
|
|
| 3136 |
value: 12.199
|
| 3137 |
- type: recall_at_5
|
| 3138 |
value: 14.87
|
| 3139 |
+
task:
|
| 3140 |
type: Retrieval
|
| 3141 |
+
- dataset:
|
|
|
|
|
|
|
| 3142 |
config: default
|
| 3143 |
+
name: MTEB CQADupstackUnixRetrieval (default)
|
| 3144 |
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
|
| 3145 |
+
split: test
|
| 3146 |
+
type: mteb/cqadupstack-unix
|
| 3147 |
metrics:
|
| 3148 |
- type: main_score
|
| 3149 |
value: 20.061999999999998
|
|
|
|
| 3427 |
value: 18.859
|
| 3428 |
- type: recall_at_5
|
| 3429 |
value: 22.435
|
| 3430 |
+
task:
|
| 3431 |
type: Retrieval
|
| 3432 |
+
- dataset:
|
|
|
|
|
|
|
| 3433 |
config: default
|
| 3434 |
+
name: MTEB CQADupstackWebmastersRetrieval (default)
|
| 3435 |
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
|
| 3436 |
+
split: test
|
| 3437 |
+
type: mteb/cqadupstack-webmasters
|
| 3438 |
metrics:
|
| 3439 |
- type: main_score
|
| 3440 |
value: 23.735999999999997
|
|
|
|
| 3718 |
value: 21.397
|
| 3719 |
- type: recall_at_5
|
| 3720 |
value: 24.863
|
| 3721 |
+
task:
|
| 3722 |
type: Retrieval
|
| 3723 |
+
- dataset:
|
|
|
|
|
|
|
| 3724 |
config: default
|
| 3725 |
+
name: MTEB CQADupstackWordpressRetrieval (default)
|
| 3726 |
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
|
| 3727 |
+
split: test
|
| 3728 |
+
type: mteb/cqadupstack-wordpress
|
| 3729 |
metrics:
|
| 3730 |
- type: main_score
|
| 3731 |
value: 16.794999999999998
|
|
|
|
| 4009 |
value: 15.440999999999999
|
| 4010 |
- type: recall_at_5
|
| 4011 |
value: 18.829
|
| 4012 |
+
task:
|
| 4013 |
type: Retrieval
|
| 4014 |
+
- dataset:
|
|
|
|
|
|
|
| 4015 |
config: default
|
| 4016 |
+
name: MTEB ClimateFEVER (default)
|
| 4017 |
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
|
| 4018 |
+
split: test
|
| 4019 |
+
type: mteb/climate-fever
|
| 4020 |
metrics:
|
| 4021 |
- type: main_score
|
| 4022 |
value: 17.288999999999998
|
|
|
|
| 4300 |
value: 12.232
|
| 4301 |
- type: recall_at_5
|
| 4302 |
value: 15.540999999999999
|
| 4303 |
+
task:
|
| 4304 |
type: Retrieval
|
| 4305 |
+
- dataset:
|
|
|
|
|
|
|
| 4306 |
config: default
|
| 4307 |
+
name: MTEB DBPedia (default)
|
| 4308 |
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
|
| 4309 |
+
split: test
|
| 4310 |
+
type: mteb/dbpedia
|
| 4311 |
metrics:
|
| 4312 |
- type: main_score
|
| 4313 |
value: 24.235
|
|
|
|
| 4591 |
value: 8.698
|
| 4592 |
- type: recall_at_5
|
| 4593 |
value: 11.052
|
| 4594 |
+
task:
|
| 4595 |
+
type: Retrieval
|
| 4596 |
+
- dataset:
|
|
|
|
|
|
|
| 4597 |
config: default
|
| 4598 |
+
name: MTEB EmotionClassification (default)
|
| 4599 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 4600 |
+
split: test
|
| 4601 |
+
type: mteb/emotion
|
| 4602 |
metrics:
|
| 4603 |
- type: accuracy
|
| 4604 |
value: 45.09
|
|
|
|
| 4608 |
value: 47.129694558751545
|
| 4609 |
- type: main_score
|
| 4610 |
value: 45.09
|
| 4611 |
+
task:
|
| 4612 |
+
type: Classification
|
| 4613 |
+
- dataset:
|
|
|
|
|
|
|
| 4614 |
config: default
|
| 4615 |
+
name: MTEB FEVER (default)
|
| 4616 |
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
|
| 4617 |
+
split: test
|
| 4618 |
+
type: mteb/fever
|
| 4619 |
metrics:
|
| 4620 |
- type: main_score
|
| 4621 |
value: 30.267
|
|
|
|
| 4899 |
value: 29.42
|
| 4900 |
- type: recall_at_5
|
| 4901 |
value: 36.112
|
| 4902 |
+
task:
|
| 4903 |
type: Retrieval
|
| 4904 |
+
- dataset:
|
|
|
|
|
|
|
| 4905 |
config: default
|
| 4906 |
+
name: MTEB FiQA2018 (default)
|
| 4907 |
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
|
| 4908 |
+
split: test
|
| 4909 |
+
type: mteb/fiqa
|
| 4910 |
metrics:
|
| 4911 |
- type: main_score
|
| 4912 |
value: 16.619
|
|
|
|
| 5190 |
value: 12.485
|
| 5191 |
- type: recall_at_5
|
| 5192 |
value: 15.862000000000002
|
| 5193 |
+
task:
|
| 5194 |
type: Retrieval
|
| 5195 |
+
- dataset:
|
|
|
|
|
|
|
| 5196 |
config: default
|
| 5197 |
+
name: MTEB HotpotQA (default)
|
| 5198 |
revision: ab518f4d6fcca38d87c25209f94beba119d02014
|
| 5199 |
+
split: test
|
| 5200 |
+
type: mteb/hotpotqa
|
| 5201 |
metrics:
|
| 5202 |
- type: main_score
|
| 5203 |
value: 36.217
|
|
|
|
| 5481 |
value: 30.311
|
| 5482 |
- type: recall_at_5
|
| 5483 |
value: 34.092
|
| 5484 |
+
task:
|
| 5485 |
+
type: Retrieval
|
| 5486 |
+
- dataset:
|
|
|
|
|
|
|
| 5487 |
config: default
|
| 5488 |
+
name: MTEB ImdbClassification (default)
|
| 5489 |
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 5490 |
+
split: test
|
| 5491 |
+
type: mteb/imdb
|
| 5492 |
metrics:
|
| 5493 |
- type: accuracy
|
| 5494 |
value: 70.78
|
|
|
|
| 5502 |
value: 70.56498155979408
|
| 5503 |
- type: main_score
|
| 5504 |
value: 70.78
|
| 5505 |
+
task:
|
| 5506 |
+
type: Classification
|
| 5507 |
+
- dataset:
|
|
|
|
|
|
|
| 5508 |
config: default
|
| 5509 |
+
name: MTEB MSMARCO (default)
|
| 5510 |
revision: c5a29a104738b98a9e76336939199e264163d4a0
|
| 5511 |
+
split: test
|
| 5512 |
+
type: mteb/msmarco
|
| 5513 |
metrics:
|
| 5514 |
- type: main_score
|
| 5515 |
value: 34.981
|
|
|
|
| 5793 |
value: 2.8240000000000003
|
| 5794 |
- type: recall_at_5
|
| 5795 |
value: 4.476999999999999
|
| 5796 |
+
task:
|
| 5797 |
+
type: Retrieval
|
| 5798 |
+
- dataset:
|
|
|
|
|
|
|
| 5799 |
config: en
|
| 5800 |
+
name: MTEB MTOPDomainClassification (en)
|
| 5801 |
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 5802 |
+
split: test
|
| 5803 |
+
type: mteb/mtop_domain
|
| 5804 |
metrics:
|
| 5805 |
- type: accuracy
|
| 5806 |
value: 88.95576835385319
|
|
|
|
| 5810 |
value: 89.00721562093213
|
| 5811 |
- type: main_score
|
| 5812 |
value: 88.95576835385319
|
| 5813 |
+
task:
|
| 5814 |
type: Classification
|
| 5815 |
+
- dataset:
|
|
|
|
|
|
|
| 5816 |
config: en
|
| 5817 |
+
name: MTEB MTOPIntentClassification (en)
|
| 5818 |
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 5819 |
+
split: test
|
| 5820 |
+
type: mteb/mtop_intent
|
| 5821 |
metrics:
|
| 5822 |
- type: accuracy
|
| 5823 |
value: 56.99726402188783
|
|
|
|
| 5827 |
value: 59.96788951671549
|
| 5828 |
- type: main_score
|
| 5829 |
value: 56.99726402188783
|
| 5830 |
+
task:
|
| 5831 |
type: Classification
|
| 5832 |
+
- dataset:
|
|
|
|
|
|
|
| 5833 |
config: en
|
| 5834 |
+
name: MTEB MassiveIntentClassification (en)
|
| 5835 |
revision: 4672e20407010da34463acc759c162ca9734bca6
|
| 5836 |
+
split: test
|
| 5837 |
+
type: mteb/amazon_massive_intent
|
| 5838 |
metrics:
|
| 5839 |
- type: accuracy
|
| 5840 |
value: 63.79287155346336
|
|
|
|
| 5844 |
value: 62.567311481126055
|
| 5845 |
- type: main_score
|
| 5846 |
value: 63.79287155346336
|
| 5847 |
+
task:
|
| 5848 |
type: Classification
|
| 5849 |
+
- dataset:
|
|
|
|
|
|
|
| 5850 |
config: en
|
| 5851 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 5852 |
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
|
| 5853 |
+
split: test
|
| 5854 |
+
type: mteb/amazon_massive_scenario
|
| 5855 |
metrics:
|
| 5856 |
- type: accuracy
|
| 5857 |
value: 70.30934767989241
|
|
|
|
| 5861 |
value: 70.1128179307388
|
| 5862 |
- type: main_score
|
| 5863 |
value: 70.30934767989241
|
| 5864 |
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task:
|
| 5865 |
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type: Classification
|
| 5866 |
+
- dataset:
|
| 5867 |
+
config: default
|
| 5868 |
name: MTEB MedrxivClusteringP2P (default)
|
| 5869 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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| 5870 |
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split: test
|
| 5871 |
type: mteb/medrxiv-clustering-p2p
|
|
|
|
|
|
|
|
|
|
| 5872 |
metrics:
|
| 5873 |
- type: main_score
|
| 5874 |
value: 27.61734940907637
|
|
|
|
| 5876 |
value: 27.61734940907637
|
| 5877 |
- type: v_measure_std
|
| 5878 |
value: 1.2248100208316097
|
| 5879 |
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task:
|
| 5880 |
type: Clustering
|
| 5881 |
+
- dataset:
|
|
|
|
|
|
|
| 5882 |
config: default
|
| 5883 |
+
name: MTEB MedrxivClusteringS2S (default)
|
| 5884 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 5885 |
+
split: test
|
| 5886 |
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type: mteb/medrxiv-clustering-s2s
|
| 5887 |
metrics:
|
| 5888 |
- type: main_score
|
| 5889 |
value: 23.802943866708308
|
|
|
|
| 5891 |
value: 23.802943866708308
|
| 5892 |
- type: v_measure_std
|
| 5893 |
value: 1.4975518910969763
|
| 5894 |
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task:
|
| 5895 |
+
type: Clustering
|
| 5896 |
+
- dataset:
|
|
|
|
|
|
|
| 5897 |
config: default
|
| 5898 |
+
name: MTEB MindSmallReranking (default)
|
| 5899 |
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
|
| 5900 |
+
split: test
|
| 5901 |
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type: mteb/mind_small
|
| 5902 |
metrics:
|
| 5903 |
- type: main_score
|
| 5904 |
value: 29.431722284942175
|
|
|
|
| 5918 |
value: -17.42779158552557
|
| 5919 |
- type: nAUC_mrr_std
|
| 5920 |
value: -5.997215692334967
|
| 5921 |
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task:
|
| 5922 |
+
type: Reranking
|
| 5923 |
+
- dataset:
|
|
|
|
|
|
|
| 5924 |
config: default
|
| 5925 |
+
name: MTEB NFCorpus (default)
|
| 5926 |
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
|
| 5927 |
+
split: test
|
| 5928 |
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type: mteb/nfcorpus
|
| 5929 |
metrics:
|
| 5930 |
- type: main_score
|
| 5931 |
value: 24.267
|
|
|
|
| 6209 |
value: 7.236
|
| 6210 |
- type: recall_at_5
|
| 6211 |
value: 9.003
|
| 6212 |
+
task:
|
| 6213 |
type: Retrieval
|
| 6214 |
+
- dataset:
|
|
|
|
|
|
|
| 6215 |
config: default
|
| 6216 |
+
name: MTEB NQ (default)
|
| 6217 |
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
|
| 6218 |
+
split: test
|
| 6219 |
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type: mteb/nq
|
| 6220 |
metrics:
|
| 6221 |
- type: main_score
|
| 6222 |
value: 19.543
|
|
|
|
| 6500 |
value: 17.669
|
| 6501 |
- type: recall_at_5
|
| 6502 |
value: 23.488999999999997
|
| 6503 |
+
task:
|
| 6504 |
type: Retrieval
|
| 6505 |
+
- dataset:
|
|
|
|
|
|
|
| 6506 |
config: default
|
| 6507 |
+
name: MTEB QuoraRetrieval (default)
|
| 6508 |
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
|
| 6509 |
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split: test
|
| 6510 |
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type: mteb/quora
|
| 6511 |
metrics:
|
| 6512 |
- type: main_score
|
| 6513 |
value: 80.598
|
|
|
|
| 6791 |
value: 79.074
|
| 6792 |
- type: recall_at_5
|
| 6793 |
value: 84.143
|
| 6794 |
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task:
|
| 6795 |
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type: Retrieval
|
| 6796 |
+
- dataset:
|
|
|
|
|
|
|
| 6797 |
config: default
|
| 6798 |
+
name: MTEB RedditClustering (default)
|
| 6799 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 6800 |
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split: test
|
| 6801 |
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type: mteb/reddit-clustering
|
| 6802 |
metrics:
|
| 6803 |
- type: main_score
|
| 6804 |
value: 39.5465127563479
|
|
|
|
| 6806 |
value: 39.5465127563479
|
| 6807 |
- type: v_measure_std
|
| 6808 |
value: 5.038703300031419
|
| 6809 |
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task:
|
| 6810 |
type: Clustering
|
| 6811 |
+
- dataset:
|
|
|
|
|
|
|
| 6812 |
config: default
|
| 6813 |
+
name: MTEB RedditClusteringP2P (default)
|
| 6814 |
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
| 6815 |
+
split: test
|
| 6816 |
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type: mteb/reddit-clustering-p2p
|
| 6817 |
metrics:
|
| 6818 |
- type: main_score
|
| 6819 |
value: 47.07911795189491
|
|
|
|
| 6821 |
value: 47.07911795189491
|
| 6822 |
- type: v_measure_std
|
| 6823 |
value: 11.546436135362846
|
| 6824 |
+
task:
|
| 6825 |
+
type: Clustering
|
| 6826 |
+
- dataset:
|
|
|
|
|
|
|
| 6827 |
config: default
|
| 6828 |
+
name: MTEB SCIDOCS (default)
|
| 6829 |
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
|
| 6830 |
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split: test
|
| 6831 |
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type: mteb/scidocs
|
| 6832 |
metrics:
|
| 6833 |
- type: main_score
|
| 6834 |
value: 12.386999999999999
|
|
|
|
| 7112 |
value: 6.553000000000001
|
| 7113 |
- type: recall_at_5
|
| 7114 |
value: 9.013
|
| 7115 |
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task:
|
| 7116 |
+
type: Retrieval
|
| 7117 |
+
- dataset:
|
|
|
|
|
|
|
| 7118 |
config: default
|
| 7119 |
+
name: MTEB SICK-R (default)
|
| 7120 |
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
| 7121 |
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split: test
|
| 7122 |
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type: mteb/sickr-sts
|
| 7123 |
metrics:
|
| 7124 |
- type: cosine_pearson
|
| 7125 |
value: 75.67336823619708
|
|
|
|
| 7139 |
value: 75.67336823619708
|
| 7140 |
- type: spearman
|
| 7141 |
value: 64.6753400763881
|
| 7142 |
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task:
|
| 7143 |
type: STS
|
| 7144 |
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- dataset:
|
|
|
|
|
|
|
| 7145 |
config: default
|
| 7146 |
+
name: MTEB STS12 (default)
|
| 7147 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 7148 |
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split: test
|
| 7149 |
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type: mteb/sts12-sts
|
| 7150 |
metrics:
|
| 7151 |
- type: cosine_pearson
|
| 7152 |
value: 72.06681927996405
|
|
|
|
| 7166 |
value: 72.06681927996405
|
| 7167 |
- type: spearman
|
| 7168 |
value: 62.248985055530525
|
| 7169 |
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task:
|
| 7170 |
type: STS
|
| 7171 |
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- dataset:
|
|
|
|
|
|
|
| 7172 |
config: default
|
| 7173 |
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name: MTEB STS13 (default)
|
| 7174 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 7175 |
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split: test
|
| 7176 |
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type: mteb/sts13-sts
|
| 7177 |
metrics:
|
| 7178 |
- type: cosine_pearson
|
| 7179 |
value: 76.53983680018591
|
|
|
|
| 7193 |
value: 76.53983680018591
|
| 7194 |
- type: spearman
|
| 7195 |
value: 77.27600787572996
|
| 7196 |
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task:
|
| 7197 |
type: STS
|
| 7198 |
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- dataset:
|
|
|
|
|
|
|
| 7199 |
config: default
|
| 7200 |
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name: MTEB STS14 (default)
|
| 7201 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 7202 |
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split: test
|
| 7203 |
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type: mteb/sts14-sts
|
| 7204 |
metrics:
|
| 7205 |
- type: cosine_pearson
|
| 7206 |
value: 76.20854411766629
|
|
|
|
| 7220 |
value: 76.20854411766629
|
| 7221 |
- type: spearman
|
| 7222 |
value: 71.914099628002
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| 7223 |
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task:
|
| 7224 |
type: STS
|
| 7225 |
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- dataset:
|
|
|
|
|
|
|
| 7226 |
config: default
|
| 7227 |
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name: MTEB STS15 (default)
|
| 7228 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 7229 |
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split: test
|
| 7230 |
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type: mteb/sts15-sts
|
| 7231 |
metrics:
|
| 7232 |
- type: cosine_pearson
|
| 7233 |
value: 79.24273419832653
|
|
|
|
| 7247 |
value: 79.24273419832653
|
| 7248 |
- type: spearman
|
| 7249 |
value: 79.75345871163103
|
| 7250 |
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task:
|
| 7251 |
type: STS
|
| 7252 |
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- dataset:
|
|
|
|
|
|
|
| 7253 |
config: default
|
| 7254 |
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name: MTEB STS16 (default)
|
| 7255 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 7256 |
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split: test
|
| 7257 |
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type: mteb/sts16-sts
|
| 7258 |
metrics:
|
| 7259 |
- type: cosine_pearson
|
| 7260 |
value: 75.64452330127995
|
|
|
|
| 7274 |
value: 75.64452330127995
|
| 7275 |
- type: spearman
|
| 7276 |
value: 76.26343823222666
|
| 7277 |
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task:
|
| 7278 |
type: STS
|
| 7279 |
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- dataset:
|
|
|
|
|
|
|
| 7280 |
config: es-en
|
| 7281 |
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name: MTEB STS17 (es-en)
|
| 7282 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7283 |
+
split: test
|
| 7284 |
+
type: mteb/sts17-crosslingual-sts
|
| 7285 |
metrics:
|
| 7286 |
- type: cosine_pearson
|
| 7287 |
value: 17.52217310066287
|
|
|
|
| 7301 |
value: 17.52217310066287
|
| 7302 |
- type: spearman
|
| 7303 |
value: 14.729958484232528
|
| 7304 |
+
task:
|
| 7305 |
type: STS
|
| 7306 |
+
- dataset:
|
|
|
|
|
|
|
| 7307 |
config: en-en
|
| 7308 |
+
name: MTEB STS17 (en-en)
|
| 7309 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7310 |
+
split: test
|
| 7311 |
+
type: mteb/sts17-crosslingual-sts
|
| 7312 |
metrics:
|
| 7313 |
- type: cosine_pearson
|
| 7314 |
value: 84.67406984717113
|
|
|
|
| 7328 |
value: 84.67406984717113
|
| 7329 |
- type: spearman
|
| 7330 |
value: 85.96709815630739
|
| 7331 |
+
task:
|
| 7332 |
type: STS
|
| 7333 |
+
- dataset:
|
|
|
|
|
|
|
| 7334 |
config: fr-en
|
| 7335 |
+
name: MTEB STS17 (fr-en)
|
| 7336 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7337 |
+
split: test
|
| 7338 |
+
type: mteb/sts17-crosslingual-sts
|
| 7339 |
metrics:
|
| 7340 |
- type: cosine_pearson
|
| 7341 |
value: 36.02331692863771
|
|
|
|
| 7355 |
value: 36.02331692863771
|
| 7356 |
- type: spearman
|
| 7357 |
value: 34.28540470062557
|
| 7358 |
+
task:
|
| 7359 |
type: STS
|
| 7360 |
+
- dataset:
|
|
|
|
|
|
|
| 7361 |
config: en-tr
|
| 7362 |
+
name: MTEB STS17 (en-tr)
|
| 7363 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7364 |
+
split: test
|
| 7365 |
+
type: mteb/sts17-crosslingual-sts
|
| 7366 |
metrics:
|
| 7367 |
- type: cosine_pearson
|
| 7368 |
value: 13.925983981770388
|
|
|
|
| 7382 |
value: 13.925983981770388
|
| 7383 |
- type: spearman
|
| 7384 |
value: 11.193291331109325
|
| 7385 |
+
task:
|
| 7386 |
type: STS
|
| 7387 |
+
- dataset:
|
|
|
|
|
|
|
| 7388 |
config: en-de
|
| 7389 |
+
name: MTEB STS17 (en-de)
|
| 7390 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7391 |
+
split: test
|
| 7392 |
+
type: mteb/sts17-crosslingual-sts
|
| 7393 |
metrics:
|
| 7394 |
- type: cosine_pearson
|
| 7395 |
value: 26.77839285232968
|
|
|
|
| 7409 |
value: 26.77839285232968
|
| 7410 |
- type: spearman
|
| 7411 |
value: 23.010015986939717
|
| 7412 |
+
task:
|
| 7413 |
type: STS
|
| 7414 |
+
- dataset:
|
|
|
|
|
|
|
| 7415 |
config: it-en
|
| 7416 |
+
name: MTEB STS17 (it-en)
|
| 7417 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7418 |
+
split: test
|
| 7419 |
+
type: mteb/sts17-crosslingual-sts
|
| 7420 |
metrics:
|
| 7421 |
- type: cosine_pearson
|
| 7422 |
value: 25.330935194314364
|
|
|
|
| 7436 |
value: 25.330935194314364
|
| 7437 |
- type: spearman
|
| 7438 |
value: 23.143555348782797
|
| 7439 |
+
task:
|
| 7440 |
type: STS
|
| 7441 |
+
- dataset:
|
|
|
|
|
|
|
| 7442 |
config: en-ar
|
| 7443 |
+
name: MTEB STS17 (en-ar)
|
| 7444 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7445 |
+
split: test
|
| 7446 |
+
type: mteb/sts17-crosslingual-sts
|
| 7447 |
metrics:
|
| 7448 |
- type: cosine_pearson
|
| 7449 |
value: 6.61651078645899
|
|
|
|
| 7463 |
value: 6.61651078645899
|
| 7464 |
- type: spearman
|
| 7465 |
value: 5.415104433010482
|
| 7466 |
+
task:
|
| 7467 |
type: STS
|
| 7468 |
+
- dataset:
|
|
|
|
|
|
|
| 7469 |
config: nl-en
|
| 7470 |
+
name: MTEB STS17 (nl-en)
|
| 7471 |
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
| 7472 |
+
split: test
|
| 7473 |
+
type: mteb/sts17-crosslingual-sts
|
| 7474 |
metrics:
|
| 7475 |
- type: cosine_pearson
|
| 7476 |
value: 32.718045784523184
|
|
|
|
| 7490 |
value: 32.718045784523184
|
| 7491 |
- type: spearman
|
| 7492 |
value: 27.52844368619317
|
| 7493 |
+
task:
|
| 7494 |
type: STS
|
| 7495 |
+
- dataset:
|
|
|
|
|
|
|
| 7496 |
config: es-en
|
| 7497 |
+
name: MTEB STS22 (es-en)
|
| 7498 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 7499 |
+
split: test
|
| 7500 |
+
type: mteb/sts22-crosslingual-sts
|
| 7501 |
metrics:
|
| 7502 |
- type: cosine_pearson
|
| 7503 |
value: 9.98410299881163
|
|
|
|
| 7517 |
value: 9.98410299881163
|
| 7518 |
- type: spearman
|
| 7519 |
value: 10.98684405086525
|
| 7520 |
+
task:
|
| 7521 |
type: STS
|
| 7522 |
+
- dataset:
|
|
|
|
|
|
|
| 7523 |
config: en
|
| 7524 |
+
name: MTEB STS22 (en)
|
| 7525 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 7526 |
+
split: test
|
| 7527 |
+
type: mteb/sts22-crosslingual-sts
|
| 7528 |
metrics:
|
| 7529 |
- type: cosine_pearson
|
| 7530 |
value: 59.3180680265132
|
|
|
|
| 7544 |
value: 59.3180680265132
|
| 7545 |
- type: spearman
|
| 7546 |
value: 63.07956002739231
|
| 7547 |
+
task:
|
| 7548 |
type: STS
|
| 7549 |
+
- dataset:
|
|
|
|
|
|
|
| 7550 |
config: de-en
|
| 7551 |
+
name: MTEB STS22 (de-en)
|
| 7552 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 7553 |
+
split: test
|
| 7554 |
+
type: mteb/sts22-crosslingual-sts
|
| 7555 |
metrics:
|
| 7556 |
- type: cosine_pearson
|
| 7557 |
value: 29.061215770374826
|
|
|
|
| 7571 |
value: 29.061215770374826
|
| 7572 |
- type: spearman
|
| 7573 |
value: 36.21441725938738
|
| 7574 |
+
task:
|
| 7575 |
type: STS
|
| 7576 |
+
- dataset:
|
|
|
|
|
|
|
| 7577 |
config: zh-en
|
| 7578 |
+
name: MTEB STS22 (zh-en)
|
| 7579 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 7580 |
+
split: test
|
| 7581 |
+
type: mteb/sts22-crosslingual-sts
|
| 7582 |
metrics:
|
| 7583 |
- type: cosine_pearson
|
| 7584 |
value: 11.266385865086239
|
|
|
|
| 7598 |
value: 11.266385865086239
|
| 7599 |
- type: spearman
|
| 7600 |
value: 17.291293843893733
|
| 7601 |
+
task:
|
| 7602 |
type: STS
|
| 7603 |
+
- dataset:
|
|
|
|
|
|
|
| 7604 |
config: pl-en
|
| 7605 |
+
name: MTEB STS22 (pl-en)
|
| 7606 |
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
| 7607 |
+
split: test
|
| 7608 |
+
type: mteb/sts22-crosslingual-sts
|
| 7609 |
metrics:
|
| 7610 |
- type: cosine_pearson
|
| 7611 |
value: 9.647587208410648
|
|
|
|
| 7625 |
value: 9.647587208410648
|
| 7626 |
- type: spearman
|
| 7627 |
value: 21.33739699413266
|
| 7628 |
+
task:
|
| 7629 |
type: STS
|
| 7630 |
+
- dataset:
|
|
|
|
|
|
|
| 7631 |
config: default
|
| 7632 |
+
name: MTEB STSBenchmark (default)
|
| 7633 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 7634 |
+
split: test
|
| 7635 |
+
type: mteb/stsbenchmark-sts
|
| 7636 |
metrics:
|
| 7637 |
- type: cosine_pearson
|
| 7638 |
value: 77.2598255013409
|
|
|
|
| 7652 |
value: 77.2598255013409
|
| 7653 |
- type: spearman
|
| 7654 |
value: 75.40519061413276
|
| 7655 |
+
task:
|
| 7656 |
+
type: STS
|
| 7657 |
+
- dataset:
|
|
|
|
|
|
|
| 7658 |
config: default
|
| 7659 |
+
name: MTEB SciDocsRR (default)
|
| 7660 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 7661 |
+
split: test
|
| 7662 |
+
type: mteb/scidocs-reranking
|
| 7663 |
metrics:
|
| 7664 |
- type: main_score
|
| 7665 |
value: 72.10127087089839
|
|
|
|
| 7679 |
value: 74.90946175462605
|
| 7680 |
- type: nAUC_mrr_std
|
| 7681 |
value: 71.81332269641806
|
| 7682 |
+
task:
|
| 7683 |
+
type: Reranking
|
| 7684 |
+
- dataset:
|
|
|
|
|
|
|
| 7685 |
config: default
|
| 7686 |
+
name: MTEB SciFact (default)
|
| 7687 |
revision: 0228b52cf27578f30900b9e5271d331663a030d7
|
| 7688 |
+
split: test
|
| 7689 |
+
type: mteb/scifact
|
| 7690 |
metrics:
|
| 7691 |
- type: main_score
|
| 7692 |
value: 50.63999999999999
|
|
|
|
| 7970 |
value: 50.306
|
| 7971 |
- type: recall_at_5
|
| 7972 |
value: 57.443999999999996
|
| 7973 |
+
task:
|
| 7974 |
+
type: Retrieval
|
| 7975 |
+
- dataset:
|
|
|
|
|
|
|
| 7976 |
config: default
|
| 7977 |
+
name: MTEB SprintDuplicateQuestions (default)
|
| 7978 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 7979 |
+
split: test
|
| 7980 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 7981 |
metrics:
|
| 7982 |
- type: cosine_accuracy
|
| 7983 |
value: 99.71386138613862
|
|
|
|
| 8061 |
value: 85.7727737973388
|
| 8062 |
- type: similarity_recall
|
| 8063 |
value: 83.8
|
| 8064 |
+
task:
|
| 8065 |
+
type: PairClassification
|
| 8066 |
+
- dataset:
|
|
|
|
|
|
|
| 8067 |
config: default
|
| 8068 |
+
name: MTEB StackExchangeClustering (default)
|
| 8069 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 8070 |
+
split: test
|
| 8071 |
+
type: mteb/stackexchange-clustering
|
| 8072 |
metrics:
|
| 8073 |
- type: main_score
|
| 8074 |
value: 48.18939518021159
|
|
|
|
| 8076 |
value: 48.18939518021159
|
| 8077 |
- type: v_measure_std
|
| 8078 |
value: 4.6189444340187995
|
| 8079 |
+
task:
|
| 8080 |
type: Clustering
|
| 8081 |
+
- dataset:
|
|
|
|
|
|
|
| 8082 |
config: default
|
| 8083 |
+
name: MTEB StackExchangeClusteringP2P (default)
|
| 8084 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 8085 |
+
split: test
|
| 8086 |
+
type: mteb/stackexchange-clustering-p2p
|
| 8087 |
metrics:
|
| 8088 |
- type: main_score
|
| 8089 |
value: 30.743938802421265
|
|
|
|
| 8091 |
value: 30.743938802421265
|
| 8092 |
- type: v_measure_std
|
| 8093 |
value: 1.4645401677053824
|
| 8094 |
+
task:
|
| 8095 |
+
type: Clustering
|
| 8096 |
+
- dataset:
|
|
|
|
|
|
|
| 8097 |
config: default
|
| 8098 |
+
name: MTEB StackOverflowDupQuestions (default)
|
| 8099 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 8100 |
+
split: test
|
| 8101 |
+
type: mteb/stackoverflowdupquestions-reranking
|
| 8102 |
metrics:
|
| 8103 |
- type: main_score
|
| 8104 |
value: 43.254152892780986
|
|
|
|
| 8118 |
value: 14.093758435205075
|
| 8119 |
- type: nAUC_mrr_std
|
| 8120 |
value: 4.198791420159734
|
| 8121 |
+
task:
|
| 8122 |
+
type: Reranking
|
| 8123 |
+
- dataset:
|
|
|
|
|
|
|
| 8124 |
config: default
|
| 8125 |
+
name: MTEB SummEval (default)
|
| 8126 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 8127 |
+
split: test
|
| 8128 |
+
type: mteb/summeval
|
| 8129 |
metrics:
|
| 8130 |
- type: cosine_pearson
|
| 8131 |
value: 29.88360050203766
|
|
|
|
| 8141 |
value: 29.88360050203766
|
| 8142 |
- type: spearman
|
| 8143 |
value: 29.275185932109494
|
| 8144 |
+
task:
|
| 8145 |
+
type: Summarization
|
| 8146 |
+
- dataset:
|
|
|
|
|
|
|
| 8147 |
config: default
|
| 8148 |
+
name: MTEB TRECCOVID (default)
|
| 8149 |
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
|
| 8150 |
+
split: test
|
| 8151 |
+
type: mteb/trec-covid
|
| 8152 |
metrics:
|
| 8153 |
- type: main_score
|
| 8154 |
value: 45.747
|
|
|
|
| 8432 |
value: 0.395
|
| 8433 |
- type: recall_at_5
|
| 8434 |
value: 0.628
|
| 8435 |
+
task:
|
| 8436 |
type: Retrieval
|
| 8437 |
+
- dataset:
|
|
|
|
|
|
|
| 8438 |
config: default
|
| 8439 |
+
name: MTEB Touche2020 (default)
|
| 8440 |
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
|
| 8441 |
+
split: test
|
| 8442 |
+
type: mteb/touche2020
|
| 8443 |
metrics:
|
| 8444 |
- type: main_score
|
| 8445 |
value: 18.618000000000002
|
|
|
|
| 8723 |
value: 4.2540000000000004
|
| 8724 |
- type: recall_at_5
|
| 8725 |
value: 7.142999999999999
|
| 8726 |
+
task:
|
| 8727 |
+
type: Retrieval
|
| 8728 |
+
- dataset:
|
|
|
|
|
|
|
| 8729 |
config: default
|
| 8730 |
+
name: MTEB ToxicConversationsClassification (default)
|
| 8731 |
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 8732 |
+
split: test
|
| 8733 |
+
type: mteb/toxic_conversations_50k
|
| 8734 |
metrics:
|
| 8735 |
- type: accuracy
|
| 8736 |
value: 69.0625
|
|
|
|
| 8744 |
value: 75.91632061778698
|
| 8745 |
- type: main_score
|
| 8746 |
value: 69.0625
|
| 8747 |
+
task:
|
| 8748 |
type: Classification
|
| 8749 |
+
- dataset:
|
|
|
|
|
|
|
| 8750 |
config: default
|
| 8751 |
+
name: MTEB TweetSentimentExtractionClassification (default)
|
| 8752 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 8753 |
+
split: test
|
| 8754 |
+
type: mteb/tweet_sentiment_extraction
|
| 8755 |
metrics:
|
| 8756 |
- type: accuracy
|
| 8757 |
value: 55.387662705149964
|
|
|
|
| 8761 |
value: 55.01561915660653
|
| 8762 |
- type: main_score
|
| 8763 |
value: 55.387662705149964
|
| 8764 |
+
task:
|
| 8765 |
+
type: Classification
|
| 8766 |
+
- dataset:
|
|
|
|
|
|
|
| 8767 |
config: default
|
| 8768 |
+
name: MTEB TwentyNewsgroupsClustering (default)
|
| 8769 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 8770 |
+
split: test
|
| 8771 |
+
type: mteb/twentynewsgroups-clustering
|
| 8772 |
metrics:
|
| 8773 |
- type: main_score
|
| 8774 |
value: 33.535908963951435
|
|
|
|
| 8776 |
value: 33.535908963951435
|
| 8777 |
- type: v_measure_std
|
| 8778 |
value: 1.8862804680454297
|
| 8779 |
+
task:
|
| 8780 |
+
type: Clustering
|
| 8781 |
+
- dataset:
|
|
|
|
|
|
|
| 8782 |
config: default
|
| 8783 |
+
name: MTEB TwitterSemEval2015 (default)
|
| 8784 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 8785 |
+
split: test
|
| 8786 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 8787 |
metrics:
|
| 8788 |
- type: cosine_accuracy
|
| 8789 |
value: 81.57000655659535
|
|
|
|
| 8867 |
value: 47.93632075471698
|
| 8868 |
- type: similarity_recall
|
| 8869 |
value: 64.35356200527704
|
| 8870 |
+
task:
|
| 8871 |
type: PairClassification
|
| 8872 |
+
- dataset:
|
|
|
|
|
|
|
| 8873 |
config: default
|
| 8874 |
+
name: MTEB TwitterURLCorpus (default)
|
| 8875 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 8876 |
+
split: test
|
| 8877 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 8878 |
metrics:
|
| 8879 |
- type: cosine_accuracy
|
| 8880 |
value: 87.09977878682035
|
|
|
|
| 8958 |
value: 70.7599466704091
|
| 8959 |
- type: similarity_recall
|
| 8960 |
value: 77.64089929165382
|
| 8961 |
+
task:
|
| 8962 |
+
type: PairClassification
|
| 8963 |
+
model_name: potion-base-8M
|
| 8964 |
+
tags:
|
| 8965 |
+
- embeddings
|
| 8966 |
+
- static-embeddings
|
| 8967 |
+
- mteb
|
| 8968 |
---
|
| 8969 |
|
| 8970 |
# potion-base-8M Model Card
|
| 8971 |
|
| 8972 |
+
<div align="center">
|
| 8973 |
+
<img width="35%" alt="Model2Vec logo" src="https://raw.githubusercontent.com/MinishLab/model2vec/main/assets/images/logo_v2.png">
|
| 8974 |
+
</div>
|
| 8975 |
+
|
| 8976 |
+
|
| 8977 |
This [Model2Vec](https://github.com/MinishLab/model2vec) model is pre-trained using [Tokenlearn](https://github.com/MinishLab/tokenlearn). It is a distilled version of the [baai/bge-base-en-v1.5](https://huggingface.co/baai/bge-base-en-v1.5) Sentence Transformer. It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.
|
| 8978 |
|
| 8979 |
|