model,dataset,metric,value
all-MiniLM-L6-v2,AmazonCounterfactualClassification,accuracy,0.641492537313433
all-MiniLM-L6-v2,AmazonPolarityClassification,accuracy,0.62582975
all-MiniLM-L6-v2,AmazonReviewsClassification,accuracy,0.31786
all-MiniLM-L6-v2,Banking77Classification,accuracy,0.7975000000000001
all-MiniLM-L6-v2,EmotionClassification,accuracy,0.3843
all-MiniLM-L6-v2,ImdbClassification,accuracy,0.606612
all-MiniLM-L6-v2,MassiveIntentClassification,accuracy,0.6740416946872899
all-MiniLM-L6-v2,MassiveScenarioClassification,accuracy,0.7575655682582381
all-MiniLM-L6-v2,MTOPDomainClassification,accuracy,0.9156178750569997
all-MiniLM-L6-v2,MTOPIntentClassification,accuracy,0.6218194254445966
all-MiniLM-L6-v2,ToxicConversationsClassification,accuracy,0.669918
all-MiniLM-L6-v2,TweetSentimentExtractionClassification,accuracy,0.554102999434069
all-MiniLM-L6-v2,ArxivClusteringP2P,v_measure,0.46545950790501556
all-MiniLM-L6-v2,ArxivClusteringS2S,v_measure,0.3785709823840442
all-MiniLM-L6-v2,BiorxivClusteringP2P,v_measure,0.38483019141351227
all-MiniLM-L6-v2,BiorxivClusteringS2S,v_measure,0.33170209943399803
all-MiniLM-L6-v2,MedrxivClusteringP2P,v_measure,0.3440873490143895
all-MiniLM-L6-v2,MedrxivClusteringS2S,v_measure,0.3229220750053091
all-MiniLM-L6-v2,RedditClustering,v_measure,0.5066969274980475
all-MiniLM-L6-v2,RedditClusteringP2P,v_measure,0.8150529020581544
all-MiniLM-L6-v2,StackExchangeClustering,v_measure,0.5336142166203601
all-MiniLM-L6-v2,StackExchangeClusteringP2P,v_measure,0.3800182562780098
all-MiniLM-L6-v2,TwentyNewsgroupsClustering,v_measure,0.4686027142764777
all-MiniLM-L6-v2,SprintDuplicateQuestions,ap,0.9455063045792446
all-MiniLM-L6-v2,TwitterSemEval2015,ap,0.6785802440228593
all-MiniLM-L6-v2,TwitterURLCorpus,ap,0.847016595145111
all-MiniLM-L6-v2,AskUbuntuDupQuestions,map,0.634768168123733
all-MiniLM-L6-v2,MindSmallReranking,map,0.30798042020200267
all-MiniLM-L6-v2,SciDocsRR,map,0.8711941318470207
all-MiniLM-L6-v2,StackOverflowDupQuestions,map,0.5076213438431608
all-MiniLM-L6-v2,ArguAna,ndcg_at_10,0.50167
all-MiniLM-L6-v2,ClimateFEVER,ndcg_at_10,0.20272
all-MiniLM-L6-v2,CQADupstackRetrieval,ndcg_at_10,0.4132475
all-MiniLM-L6-v2,DBPedia,ndcg_at_10,0.3233
all-MiniLM-L6-v2,FEVER,ndcg_at_10,0.51934
all-MiniLM-L6-v2,FiQA2018,ndcg_at_10,0.36867
all-MiniLM-L6-v2,HotpotQA,ndcg_at_10,0.46513
all-MiniLM-L6-v2,MSMARCO,ndcg_at_10,0.63685
all-MiniLM-L6-v2,NFCorpus,ndcg_at_10,0.31594
all-MiniLM-L6-v2,NQ,ndcg_at_10,0.43869
all-MiniLM-L6-v2,QuoraRetrieval,ndcg_at_10,0.87556
all-MiniLM-L6-v2,SCIDOCS,ndcg_at_10,0.21641
all-MiniLM-L6-v2,SciFact,ndcg_at_10,0.64508
all-MiniLM-L6-v2,Touche2020,ndcg_at_10,0.16904
all-MiniLM-L6-v2,TRECCOVID,ndcg_at_10,0.47246
all-MiniLM-L6-v2,BIOSSES,cosine_spearman,0.8164041444909368
all-MiniLM-L6-v2,SICK-R,cosine_spearman,0.7758245130495687
all-MiniLM-L6-v2,STS12,cosine_spearman,0.7236900735029991
all-MiniLM-L6-v2,STS13,cosine_spearman,0.8060316722220763
all-MiniLM-L6-v2,STS14,cosine_spearman,0.7558912800301661
all-MiniLM-L6-v2,STS15,cosine_spearman,0.8538966051883823
all-MiniLM-L6-v2,STS16,cosine_spearman,0.7898945343973262
all-MiniLM-L6-v2,STS17,cosine_spearman,0.8758779089494525
all-MiniLM-L6-v2,STS22,cosine_spearman,0.6721465212910986
all-MiniLM-L6-v2,STSBenchmark,cosine_spearman,0.8203246731235654
all-MiniLM-L6-v2,SummEval,cosine_spearman,0.3080875767124449