Sentence Similarity
sentence-transformers
PyTorch
English
mpnet
feature-extraction
Eval Results
Inference Endpoints
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- license: apache-2.0
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1
  ---
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+ tags:
3
+ - mteb
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+ model-index:
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+ - name: all-mpnet-base-v2-negation
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+ results:
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+ - task:
8
+ type: Classification
9
+ dataset:
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+ type: mteb/amazon_counterfactual
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+ name: MTEB AmazonCounterfactualClassification (en)
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+ config: en
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+ split: test
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+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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+ metrics:
16
+ - type: accuracy
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+ value: 72.6268656716418
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+ - type: ap
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+ value: 36.40585820220466
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+ - type: f1
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+ value: 67.06383995428979
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+ - task:
23
+ type: Classification
24
+ dataset:
25
+ type: mteb/amazon_polarity
26
+ name: MTEB AmazonPolarityClassification
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+ config: default
28
+ split: test
29
+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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+ metrics:
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+ - type: accuracy
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+ value: 85.11834999999999
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+ - type: ap
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+ value: 79.72843246428603
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+ - type: f1
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+ value: 85.08938287851875
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+ - task:
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+ type: Classification
39
+ dataset:
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+ type: mteb/amazon_reviews_multi
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+ name: MTEB AmazonReviewsClassification (en)
42
+ config: en
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+ split: test
44
+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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+ metrics:
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+ - type: accuracy
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+ value: 37.788000000000004
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+ - type: f1
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+ value: 37.40475118737949
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/arxiv-clustering-p2p
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+ name: MTEB ArxivClusteringP2P
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+ config: default
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+ split: test
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+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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+ metrics:
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+ - type: v_measure
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+ value: 45.73138953773995
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/arxiv-clustering-s2s
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+ name: MTEB ArxivClusteringS2S
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+ config: default
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+ split: test
68
+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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+ metrics:
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+ - type: v_measure
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+ value: 39.13609863309245
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+ - task:
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+ type: Reranking
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+ dataset:
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+ type: mteb/askubuntudupquestions-reranking
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+ name: MTEB AskUbuntuDupQuestions
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+ config: default
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+ split: test
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+ revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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+ metrics:
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+ - type: map
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+ - type: mrr
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+ type: STS
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+ type: mteb/biosses-sts
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+ name: MTEB BIOSSES
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+ config: default
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+ split: test
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+ revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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+ metrics:
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+ - type: cos_sim_pearson
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+ - type: cos_sim_spearman
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+ - type: euclidean_spearman
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+ - type: manhattan_pearson
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+ - type: manhattan_spearman
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+ value: 68.59192435931085
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/banking77
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+ name: MTEB Banking77Classification
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+ config: default
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+ split: test
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+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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+ metrics:
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+ - type: accuracy
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+ name: MTEB BiorxivClusteringP2P
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+ config: default
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+ split: test
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+ type: mteb/biorxiv-clustering-s2s
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+ name: MTEB BiorxivClusteringS2S
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+ config: default
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+ name: MTEB EmotionClassification
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+ config: default
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+ split: test
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+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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+ metrics:
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+ - type: accuracy
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+ type: Classification
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+ name: MTEB ImdbClassification
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+ config: default
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+ metrics:
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+ - type: accuracy
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+ type: Classification
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+ config: en
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+ name: MTEB MTOPIntentClassification (en)
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+ metrics:
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+ - type: accuracy
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_intent
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+ name: MTEB MassiveIntentClassification (en)
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+ config: en
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+ split: test
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+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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+ metrics:
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+ - type: accuracy
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_scenario
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+ name: MTEB MassiveScenarioClassification (en)
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+ config: en
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+ split: test
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+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
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+ metrics:
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+ - type: accuracy
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+ value: 77.53866845998655
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+ - type: f1
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/medrxiv-clustering-p2p
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+ name: MTEB MedrxivClusteringP2P
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+ config: default
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+ split: test
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+ revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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+ metrics:
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+ - type: v_measure
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+ value: 33.66744884855605
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+ type: Clustering
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+ dataset:
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+ type: mteb/medrxiv-clustering-s2s
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+ name: MTEB MedrxivClusteringS2S
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+ config: default
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+ metrics:
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+ - type: v_measure
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+ type: mteb/mind_small
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+ type: mteb/reddit-clustering
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+ name: MTEB RedditClusteringP2P
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+ name: MTEB SICK-R
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+ split: test
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+ ---