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nouamanetazi HF staff commited on Sep 5, 2022

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1 Parent(s): 3a2f43c

add model column

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LASER2_results.csv +57 -57
SGPT-125M-weightedmean-msmarco-specb-bitfit_results.csv +57 -57
SGPT-125M-weightedmean-nli-bitfit_results.csv +57 -57
SGPT-5.8B-weightedmean-msmarco-specb-bitfit_results.csv +57 -57
SGPT-5.8B-weightedmean-nli-bitfit_results.csv +57 -57
all-MiniLM-L6-v2_results.csv +57 -57
all-mpnet-base-v2_results.csv +57 -57
bert-base-uncased_results.csv +57 -57
contriever-base-msmarco_results.csv +57 -57
glove.6B.300d_results.csv +57 -57
gtr-t5-base_results.csv +57 -57
gtr-t5-xxl_results.csv +57 -57
komninos_results.csv +57 -57
msmarco-bert-co-condensor_results.csv +57 -57
sentence-t5-base_results.csv +57 -57
sentence-t5-xxl_results.csv +57 -57
sgpt-bloom-7b1-msmarco_results.csv +57 -57
sup-simcse-bert-base-uncased_results.csv +57 -57
unsup-simcse-bert-base-uncased_results.csv +57 -57

LASER2_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7891044776119402
-AmazonPolarityClassification,accuracy,0.6100945
-AmazonReviewsClassification,accuracy,0.30578
-Banking77Classification,accuracy,0.5775974025974026
-EmotionClassification,accuracy,0.24830000000000002
-ImdbClassification,accuracy,0.57584
-MassiveIntentClassification,accuracy,0.4790181573638197
-MassiveScenarioClassification,accuracy,0.558238063214526
-MTOPDomainClassification,accuracy,0.7610579115367078
-MTOPIntentClassification,accuracy,0.5047423620611035
-ToxicConversationsClassification,accuracy,0.5404779999999999
-TweetSentimentExtractionClassification,accuracy,0.4872665534804754
-ArxivClusteringP2P,v_measure,0.1776823856238192
-ArxivClusteringS2S,v_measure,0.1239260518556585
-BiorxivClusteringP2P,v_measure,0.12399936477309108
-BiorxivClusteringS2S,v_measure,0.08827421024926384
-MedrxivClusteringP2P,v_measure,0.17908142247465778
-MedrxivClusteringS2S,v_measure,0.1662952889451872
-RedditClustering,v_measure,0.0996202584007419
-RedditClusteringP2P,v_measure,0.264185580282609
-StackExchangeClustering,v_measure,0.15794084761797694
-StackExchangeClusteringP2P,v_measure,0.18627980064437472
-TwentyNewsgroupsClustering,v_measure,0.11378130183913912
-SprintDuplicateQuestions,ap,0.6554452704075004
-TwitterSemEval2015,ap,0.5956789548901481
-TwitterURLCorpus,ap,0.8147393118163185
-AskUbuntuDupQuestions,map,0.4898595820868522
-MindSmallReranking,map,0.24788913161151171
-SciDocsRR,map,0.5498656851897086
-StackOverflowDupQuestions,map,0.36983704984940896
-ArguAna,ndcg_at_10,0.12856
-ClimateFEVER,ndcg_at_10,0.0036
-CQADupstackRetrieval,ndcg_at_10,0.04119
-DBPedia,ndcg_at_10,0.01526
-FEVER,ndcg_at_10,0.00767
-FiQA2018,ndcg_at_10,0.01725
-HotpotQA,ndcg_at_10,0.05504
-MSMARCO,ndcg_at_10,0.03593
-NFCorpus,ndcg_at_10,0.02439
-NQ,ndcg_at_10,0.00642
-QuoraRetrieval,ndcg_at_10,0.71145
-SCIDOCS,ndcg_at_10,0.00777
-SciFact,ndcg_at_10,0.04038
-Touche2020,ndcg_at_10,0.0106
-TRECCOVID,ndcg_at_10,0.10972
-BIOSSES,cosine_spearman,0.6200864182463187
-SICK-R,cosine_spearman,0.6285761430269268
-STS12,cosine_spearman,0.6260375600516247
-STS13,cosine_spearman,0.5961753521490076
-STS14,cosine_spearman,0.5702962555736466
-STS15,cosine_spearman,0.7156560343816677
-STS16,cosine_spearman,0.7075338261767046
-STS17,cosine_spearman,0.7672812705124583
-STS22,cosine_spearman,0.3974427076488482
-STSBenchmark,cosine_spearman,0.6977241730309153
-SummEval,cosine_spearman,0.268033428993562

+model,dataset,metric,value
+LASER2,AmazonCounterfactualClassification,accuracy,0.7891044776119402
+LASER2,AmazonPolarityClassification,accuracy,0.6100945
+LASER2,AmazonReviewsClassification,accuracy,0.30578
+LASER2,Banking77Classification,accuracy,0.5775974025974026
+LASER2,EmotionClassification,accuracy,0.24830000000000002
+LASER2,ImdbClassification,accuracy,0.57584
+LASER2,MassiveIntentClassification,accuracy,0.4790181573638197
+LASER2,MassiveScenarioClassification,accuracy,0.558238063214526
+LASER2,MTOPDomainClassification,accuracy,0.7610579115367078
+LASER2,MTOPIntentClassification,accuracy,0.5047423620611035
+LASER2,ToxicConversationsClassification,accuracy,0.5404779999999999
+LASER2,TweetSentimentExtractionClassification,accuracy,0.4872665534804754
+LASER2,ArxivClusteringP2P,v_measure,0.1776823856238192
+LASER2,ArxivClusteringS2S,v_measure,0.1239260518556585
+LASER2,BiorxivClusteringP2P,v_measure,0.12399936477309108
+LASER2,BiorxivClusteringS2S,v_measure,0.08827421024926384
+LASER2,MedrxivClusteringP2P,v_measure,0.17908142247465778
+LASER2,MedrxivClusteringS2S,v_measure,0.1662952889451872
+LASER2,RedditClustering,v_measure,0.0996202584007419
+LASER2,RedditClusteringP2P,v_measure,0.264185580282609
+LASER2,StackExchangeClustering,v_measure,0.15794084761797694
+LASER2,StackExchangeClusteringP2P,v_measure,0.18627980064437472
+LASER2,TwentyNewsgroupsClustering,v_measure,0.11378130183913912
+LASER2,SprintDuplicateQuestions,ap,0.6554452704075004
+LASER2,TwitterSemEval2015,ap,0.5956789548901481
+LASER2,TwitterURLCorpus,ap,0.8147393118163185
+LASER2,AskUbuntuDupQuestions,map,0.4898595820868522
+LASER2,MindSmallReranking,map,0.24788913161151171
+LASER2,SciDocsRR,map,0.5498656851897086
+LASER2,StackOverflowDupQuestions,map,0.36983704984940896
+LASER2,ArguAna,ndcg_at_10,0.12856
+LASER2,ClimateFEVER,ndcg_at_10,0.0036
+LASER2,CQADupstackRetrieval,ndcg_at_10,0.04119
+LASER2,DBPedia,ndcg_at_10,0.01526
+LASER2,FEVER,ndcg_at_10,0.00767
+LASER2,FiQA2018,ndcg_at_10,0.01725
+LASER2,HotpotQA,ndcg_at_10,0.05504
+LASER2,MSMARCO,ndcg_at_10,0.03593
+LASER2,NFCorpus,ndcg_at_10,0.02439
+LASER2,NQ,ndcg_at_10,0.00642
+LASER2,QuoraRetrieval,ndcg_at_10,0.71145
+LASER2,SCIDOCS,ndcg_at_10,0.00777
+LASER2,SciFact,ndcg_at_10,0.04038
+LASER2,Touche2020,ndcg_at_10,0.0106
+LASER2,TRECCOVID,ndcg_at_10,0.10972
+LASER2,BIOSSES,cosine_spearman,0.6200864182463187
+LASER2,SICK-R,cosine_spearman,0.6285761430269268
+LASER2,STS12,cosine_spearman,0.6260375600516247
+LASER2,STS13,cosine_spearman,0.5961753521490076
+LASER2,STS14,cosine_spearman,0.5702962555736466
+LASER2,STS15,cosine_spearman,0.7156560343816677
+LASER2,STS16,cosine_spearman,0.7075338261767046
+LASER2,STS17,cosine_spearman,0.7672812705124583
+LASER2,STS22,cosine_spearman,0.3974427076488482
+LASER2,STSBenchmark,cosine_spearman,0.6977241730309153
+LASER2,SummEval,cosine_spearman,0.268033428993562

SGPT-125M-weightedmean-msmarco-specb-bitfit_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.6123880597014926
-AmazonPolarityClassification,accuracy,0.65401225
-AmazonReviewsClassification,accuracy,0.31165999999999994
-Banking77Classification,accuracy,0.7770454545454545
-EmotionClassification,accuracy,0.39075000000000004
-ImdbClassification,accuracy,0.586696
-MassiveIntentClassification,accuracy,0.6140887693342301
-MassiveScenarioClassification,accuracy,0.6973772696704774
-MTOPDomainClassification,accuracy,0.8695622435020519
-MTOPIntentClassification,accuracy,0.6225262197902417
-ToxicConversationsClassification,accuracy,0.6265799999999999
-TweetSentimentExtractionClassification,accuracy,0.5240803621958121
-ArxivClusteringP2P,v_measure,0.3970858340673288
-ArxivClusteringS2S,v_measure,0.2824284771372105
-BiorxivClusteringP2P,v_measure,0.33632603955439844
-BiorxivClusteringS2S,v_measure,0.27038042665369927
-MedrxivClusteringP2P,v_measure,0.31374938993074253
-MedrxivClusteringS2S,v_measure,0.26871455379644094
-RedditClustering,v_measure,0.4023390747226228
-RedditClusteringP2P,v_measure,0.49090518272935624
-StackExchangeClustering,v_measure,0.5274481093815175
-StackExchangeClusteringP2P,v_measure,0.3265999453562101
-TwentyNewsgroupsClustering,v_measure,0.3212697126747911
-SprintDuplicateQuestions,ap,0.8988577913120002
-TwitterSemEval2015,ap,0.5474680676121269
-TwitterURLCorpus,ap,0.8105760818661524
-AskUbuntuDupQuestions,map,0.5583700395192394
-MindSmallReranking,map,0.30402396942935334
-SciDocsRR,map,0.7133941904192648
-StackOverflowDupQuestions,map,0.44744984645554653
-ArguAna,ndcg_at_10,0.47481
-ClimateFEVER,ndcg_at_10,0.21345
-CQADupstackRetrieval,ndcg_at_10,0.2724866666666666
-DBPedia,ndcg_at_10,0.22365
-FEVER,ndcg_at_10,
-FiQA2018,ndcg_at_10,0.21472
-HotpotQA,ndcg_at_10,
-MSMARCO,ndcg_at_10,0.54238
-NFCorpus,ndcg_at_10,0.2303
-NQ,ndcg_at_10,0.27858
-QuoraRetrieval,ndcg_at_10,0.82688
-SCIDOCS,ndcg_at_10,0.12677
-SciFact,ndcg_at_10,0.57881
-Touche2020,ndcg_at_10,0.21525
-TRECCOVID,ndcg_at_10,0.57921
-BIOSSES,cosine_spearman,0.7520954502580506
-SICK-R,cosine_spearman,0.7520954502580506
-STS12,cosine_spearman,0.6652980061546658
-STS13,cosine_spearman,0.7616628863742361
-STS14,cosine_spearman,0.6904572664009687
-STS15,cosine_spearman,0.7923677712825851
-STS16,cosine_spearman,0.7606792422441928
-STS17,cosine_spearman,0.8495398260629698
-STS22,cosine_spearman,0.6566183708171826
-STSBenchmark,cosine_spearman,0.7533716094627373
-SummEval,cosine_spearman,0.2890145030911965

+model,dataset,metric,value
+SGPT-125M-weightedmean-msmarco-specb-bitfit,AmazonCounterfactualClassification,accuracy,0.6123880597014926
+SGPT-125M-weightedmean-msmarco-specb-bitfit,AmazonPolarityClassification,accuracy,0.65401225
+SGPT-125M-weightedmean-msmarco-specb-bitfit,AmazonReviewsClassification,accuracy,0.31165999999999994
+SGPT-125M-weightedmean-msmarco-specb-bitfit,Banking77Classification,accuracy,0.7770454545454545
+SGPT-125M-weightedmean-msmarco-specb-bitfit,EmotionClassification,accuracy,0.39075000000000004
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ImdbClassification,accuracy,0.586696
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MassiveIntentClassification,accuracy,0.6140887693342301
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MassiveScenarioClassification,accuracy,0.6973772696704774
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MTOPDomainClassification,accuracy,0.8695622435020519
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MTOPIntentClassification,accuracy,0.6225262197902417
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ToxicConversationsClassification,accuracy,0.6265799999999999
+SGPT-125M-weightedmean-msmarco-specb-bitfit,TweetSentimentExtractionClassification,accuracy,0.5240803621958121
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ArxivClusteringP2P,v_measure,0.3970858340673288
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ArxivClusteringS2S,v_measure,0.2824284771372105
+SGPT-125M-weightedmean-msmarco-specb-bitfit,BiorxivClusteringP2P,v_measure,0.33632603955439844
+SGPT-125M-weightedmean-msmarco-specb-bitfit,BiorxivClusteringS2S,v_measure,0.27038042665369927
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MedrxivClusteringP2P,v_measure,0.31374938993074253
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MedrxivClusteringS2S,v_measure,0.26871455379644094
+SGPT-125M-weightedmean-msmarco-specb-bitfit,RedditClustering,v_measure,0.4023390747226228
+SGPT-125M-weightedmean-msmarco-specb-bitfit,RedditClusteringP2P,v_measure,0.49090518272935624
+SGPT-125M-weightedmean-msmarco-specb-bitfit,StackExchangeClustering,v_measure,0.5274481093815175
+SGPT-125M-weightedmean-msmarco-specb-bitfit,StackExchangeClusteringP2P,v_measure,0.3265999453562101
+SGPT-125M-weightedmean-msmarco-specb-bitfit,TwentyNewsgroupsClustering,v_measure,0.3212697126747911
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SprintDuplicateQuestions,ap,0.8988577913120002
+SGPT-125M-weightedmean-msmarco-specb-bitfit,TwitterSemEval2015,ap,0.5474680676121269
+SGPT-125M-weightedmean-msmarco-specb-bitfit,TwitterURLCorpus,ap,0.8105760818661524
+SGPT-125M-weightedmean-msmarco-specb-bitfit,AskUbuntuDupQuestions,map,0.5583700395192394
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MindSmallReranking,map,0.30402396942935334
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SciDocsRR,map,0.7133941904192648
+SGPT-125M-weightedmean-msmarco-specb-bitfit,StackOverflowDupQuestions,map,0.44744984645554653
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ArguAna,ndcg_at_10,0.47481
+SGPT-125M-weightedmean-msmarco-specb-bitfit,ClimateFEVER,ndcg_at_10,0.21345
+SGPT-125M-weightedmean-msmarco-specb-bitfit,CQADupstackRetrieval,ndcg_at_10,0.2724866666666666
+SGPT-125M-weightedmean-msmarco-specb-bitfit,DBPedia,ndcg_at_10,0.22365
+SGPT-125M-weightedmean-msmarco-specb-bitfit,FEVER,ndcg_at_10,0.55509
+SGPT-125M-weightedmean-msmarco-specb-bitfit,FiQA2018,ndcg_at_10,0.21472
+SGPT-125M-weightedmean-msmarco-specb-bitfit,HotpotQA,ndcg_at_10,0.39335
+SGPT-125M-weightedmean-msmarco-specb-bitfit,MSMARCO,ndcg_at_10,0.54238
+SGPT-125M-weightedmean-msmarco-specb-bitfit,NFCorpus,ndcg_at_10,0.2303
+SGPT-125M-weightedmean-msmarco-specb-bitfit,NQ,ndcg_at_10,0.27858
+SGPT-125M-weightedmean-msmarco-specb-bitfit,QuoraRetrieval,ndcg_at_10,0.82688
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SCIDOCS,ndcg_at_10,0.12677
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SciFact,ndcg_at_10,0.57881
+SGPT-125M-weightedmean-msmarco-specb-bitfit,Touche2020,ndcg_at_10,0.21525
+SGPT-125M-weightedmean-msmarco-specb-bitfit,TRECCOVID,ndcg_at_10,0.57921
+SGPT-125M-weightedmean-msmarco-specb-bitfit,BIOSSES,cosine_spearman,0.7520954502580506
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SICK-R,cosine_spearman,0.7520954502580506
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS12,cosine_spearman,0.6652980061546658
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS13,cosine_spearman,0.7616628863742361
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS14,cosine_spearman,0.6904572664009687
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS15,cosine_spearman,0.7923677712825851
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS16,cosine_spearman,0.7606792422441928
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS17,cosine_spearman,0.8495398260629698
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STS22,cosine_spearman,0.6566183708171826
+SGPT-125M-weightedmean-msmarco-specb-bitfit,STSBenchmark,cosine_spearman,0.7533716094627373
+SGPT-125M-weightedmean-msmarco-specb-bitfit,SummEval,cosine_spearman,0.2890145030911965

SGPT-125M-weightedmean-nli-bitfit_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.6588059701492537
-AmazonPolarityClassification,accuracy,0.74938225
-AmazonReviewsClassification,accuracy,0.35098
-Banking77Classification,accuracy,0.7467857142857142
-EmotionClassification,accuracy,0.42225
-ImdbClassification,accuracy,0.62896
-MassiveIntentClassification,accuracy,0.5808002689979825
-MassiveScenarioClassification,accuracy,0.6633826496301277
-MTOPDomainClassification,accuracy,0.8151846785225718
-MTOPIntentClassification,accuracy,0.582421340629275
-ToxicConversationsClassification,accuracy,0.627862
-TweetSentimentExtractionClassification,accuracy,0.5482173174872665
-ArxivClusteringP2P,v_measure,0.3474248247787077
-ArxivClusteringS2S,v_measure,0.2467870651472156
-BiorxivClusteringP2P,v_measure,0.2893427045246491
-BiorxivClusteringS2S,v_measure,0.23080939123955474
-MedrxivClusteringP2P,v_measure,0.28301902023313874
-MedrxivClusteringS2S,v_measure,0.24932123582259286
-RedditClustering,v_measure,0.3375741018380938
-RedditClusteringP2P,v_measure,0.7765601981302583
-StackExchangeClustering,v_measure,0.4459127540530939
-StackExchangeClusteringP2P,v_measure,0.28230204578753637
-TwentyNewsgroupsClustering,v_measure,0.2824295128553035
-SprintDuplicateQuestions,ap,0.7773085502917281
-TwitterSemEval2015,ap,0.5709409536692154
-TwitterURLCorpus,ap,0.805106377126291
-AskUbuntuDupQuestions,map,0.5263439984994702
-MindSmallReranking,map,0.2926934104146833
-SciDocsRR,map,0.6835710819755543
-StackOverflowDupQuestions,map,0.3996520488022785
-ArguAna,ndcg_at_10,0.3104
-ClimateFEVER,ndcg_at_10,0.11007
-CQADupstackRetrieval,ndcg_at_10,0.20290166666666667
-DBPedia,ndcg_at_10,0.10868
-FEVER,ndcg_at_10,0.18399
-FiQA2018,ndcg_at_10,0.0894
-HotpotQA,ndcg_at_10,0.17727
-MSMARCO,ndcg_at_10,0.18159
-NFCorpus,ndcg_at_10,0.11805
-NQ,ndcg_at_10,0.07626
-QuoraRetrieval,ndcg_at_10,0.7896
-SCIDOCS,ndcg_at_10,0.07133
-SciFact,ndcg_at_10,0.31787
-Touche2020,ndcg_at_10,0.1227
-TRECCOVID,ndcg_at_10,0.3931
-BIOSSES,cosine_spearman,0.7092812216947605
-SICK-R,cosine_spearman,0.7092812216947605
-STS12,cosine_spearman,0.6916914010333395
-STS13,cosine_spearman,0.7723446219694267
-STS14,cosine_spearman,0.7098892671568665
-STS15,cosine_spearman,0.7973794782598049
-STS16,cosine_spearman,0.7793230986462234
-STS17,cosine_spearman,0.8732720847297224
-STS22,cosine_spearman,0.5963676007113087
-STSBenchmark,cosine_spearman,0.7954269211027273
-SummEval,cosine_spearman,0.30256847004390486

+model,dataset,metric,value
+SGPT-125M-weightedmean-nli-bitfit,AmazonCounterfactualClassification,accuracy,0.6588059701492537
+SGPT-125M-weightedmean-nli-bitfit,AmazonPolarityClassification,accuracy,0.74938225
+SGPT-125M-weightedmean-nli-bitfit,AmazonReviewsClassification,accuracy,0.35098
+SGPT-125M-weightedmean-nli-bitfit,Banking77Classification,accuracy,0.7467857142857142
+SGPT-125M-weightedmean-nli-bitfit,EmotionClassification,accuracy,0.42225
+SGPT-125M-weightedmean-nli-bitfit,ImdbClassification,accuracy,0.62896
+SGPT-125M-weightedmean-nli-bitfit,MassiveIntentClassification,accuracy,0.5808002689979825
+SGPT-125M-weightedmean-nli-bitfit,MassiveScenarioClassification,accuracy,0.6633826496301277
+SGPT-125M-weightedmean-nli-bitfit,MTOPDomainClassification,accuracy,0.8151846785225718
+SGPT-125M-weightedmean-nli-bitfit,MTOPIntentClassification,accuracy,0.582421340629275
+SGPT-125M-weightedmean-nli-bitfit,ToxicConversationsClassification,accuracy,0.627862
+SGPT-125M-weightedmean-nli-bitfit,TweetSentimentExtractionClassification,accuracy,0.5482173174872665
+SGPT-125M-weightedmean-nli-bitfit,ArxivClusteringP2P,v_measure,0.3474248247787077
+SGPT-125M-weightedmean-nli-bitfit,ArxivClusteringS2S,v_measure,0.2467870651472156
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+SGPT-125M-weightedmean-nli-bitfit,RedditClusteringP2P,v_measure,0.7765601981302583
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+SGPT-125M-weightedmean-nli-bitfit,StackExchangeClusteringP2P,v_measure,0.28230204578753637
+SGPT-125M-weightedmean-nli-bitfit,TwentyNewsgroupsClustering,v_measure,0.2824295128553035
+SGPT-125M-weightedmean-nli-bitfit,SprintDuplicateQuestions,ap,0.7773085502917281
+SGPT-125M-weightedmean-nli-bitfit,TwitterSemEval2015,ap,0.5709409536692154
+SGPT-125M-weightedmean-nli-bitfit,TwitterURLCorpus,ap,0.805106377126291
+SGPT-125M-weightedmean-nli-bitfit,AskUbuntuDupQuestions,map,0.5263439984994702
+SGPT-125M-weightedmean-nli-bitfit,MindSmallReranking,map,0.2926934104146833
+SGPT-125M-weightedmean-nli-bitfit,SciDocsRR,map,0.6835710819755543
+SGPT-125M-weightedmean-nli-bitfit,StackOverflowDupQuestions,map,0.3996520488022785
+SGPT-125M-weightedmean-nli-bitfit,ArguAna,ndcg_at_10,0.3104
+SGPT-125M-weightedmean-nli-bitfit,ClimateFEVER,ndcg_at_10,0.11007
+SGPT-125M-weightedmean-nli-bitfit,CQADupstackRetrieval,ndcg_at_10,0.20290166666666667
+SGPT-125M-weightedmean-nli-bitfit,DBPedia,ndcg_at_10,0.10868
+SGPT-125M-weightedmean-nli-bitfit,FEVER,ndcg_at_10,0.18399
+SGPT-125M-weightedmean-nli-bitfit,FiQA2018,ndcg_at_10,0.0894
+SGPT-125M-weightedmean-nli-bitfit,HotpotQA,ndcg_at_10,0.17727
+SGPT-125M-weightedmean-nli-bitfit,MSMARCO,ndcg_at_10,0.18159
+SGPT-125M-weightedmean-nli-bitfit,NFCorpus,ndcg_at_10,0.11805
+SGPT-125M-weightedmean-nli-bitfit,NQ,ndcg_at_10,0.07626
+SGPT-125M-weightedmean-nli-bitfit,QuoraRetrieval,ndcg_at_10,0.7896
+SGPT-125M-weightedmean-nli-bitfit,SCIDOCS,ndcg_at_10,0.07133
+SGPT-125M-weightedmean-nli-bitfit,SciFact,ndcg_at_10,0.31787
+SGPT-125M-weightedmean-nli-bitfit,Touche2020,ndcg_at_10,0.1227
+SGPT-125M-weightedmean-nli-bitfit,TRECCOVID,ndcg_at_10,0.3931
+SGPT-125M-weightedmean-nli-bitfit,BIOSSES,cosine_spearman,0.7092812216947605
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+SGPT-125M-weightedmean-nli-bitfit,STS12,cosine_spearman,0.6916914010333395
+SGPT-125M-weightedmean-nli-bitfit,STS13,cosine_spearman,0.7723446219694267
+SGPT-125M-weightedmean-nli-bitfit,STS14,cosine_spearman,0.7098892671568665
+SGPT-125M-weightedmean-nli-bitfit,STS15,cosine_spearman,0.7973794782598049
+SGPT-125M-weightedmean-nli-bitfit,STS16,cosine_spearman,0.7793230986462234
+SGPT-125M-weightedmean-nli-bitfit,STS17,cosine_spearman,0.8732720847297224
+SGPT-125M-weightedmean-nli-bitfit,STS22,cosine_spearman,0.5963676007113087
+SGPT-125M-weightedmean-nli-bitfit,STSBenchmark,cosine_spearman,0.7954269211027273
+SGPT-125M-weightedmean-nli-bitfit,SummEval,cosine_spearman,0.30256847004390486

SGPT-5.8B-weightedmean-msmarco-specb-bitfit_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.6922388059701492
-AmazonPolarityClassification,accuracy,0.7126109999999999
-AmazonReviewsClassification,accuracy,0.39191999999999994
-Banking77Classification,accuracy,0.8449350649350649
-EmotionClassification,accuracy,0.49655000000000005
-ImdbClassification,accuracy,0.666376
-MassiveIntentClassification,accuracy,0.703866845998655
-MassiveScenarioClassification,accuracy,0.7627774041694687
-MTOPDomainClassification,accuracy,0.9346557227542178
-MTOPIntentClassification,accuracy,0.7242134062927497
-ToxicConversationsClassification,accuracy,0.67709
-TweetSentimentExtractionClassification,accuracy,0.5685059422750425
-ArxivClusteringP2P,v_measure,0.4559037428592033
-ArxivClusteringS2S,v_measure,0.3886371701986363
-BiorxivClusteringP2P,v_measure,0.3655145972298938
-BiorxivClusteringS2S,v_measure,0.3369901851846774
-MedrxivClusteringP2P,v_measure,0.3151174592577334
-MedrxivClusteringS2S,v_measure,0.28764235987575365
-RedditClustering,v_measure,0.4045148482612238
-RedditClusteringP2P,v_measure,0.5574949067303913
-StackExchangeClustering,v_measure,0.5920812266121527
-StackExchangeClusteringP2P,v_measure,0.33954248554638056
-TwentyNewsgroupsClustering,v_measure,0.3946372298609047
-SprintDuplicateQuestions,ap,0.9384024096781063
-TwitterSemEval2015,ap,0.6686677647503386
-TwitterURLCorpus,ap,0.8528960532524223
-AskUbuntuDupQuestions,map,0.6162556869142777
-MindSmallReranking,map,
-SciDocsRR,map,0.8078825425914723
-StackOverflowDupQuestions,map,0.5152800990025549
-ArguAna,ndcg_at_10,0.52203
-ClimateFEVER,ndcg_at_10,
-CQADupstackRetrieval,ndcg_at_10,0.3940316666666666
-DBPedia,ndcg_at_10,
-FEVER,ndcg_at_10,
-FiQA2018,ndcg_at_10,0.37463
-HotpotQA,ndcg_at_10,
-MSMARCO,ndcg_at_10,
-NFCorpus,ndcg_at_10,0.36161
-NQ,ndcg_at_10,
-QuoraRetrieval,ndcg_at_10,0.87899
-SCIDOCS,ndcg_at_10,0.19899
-SciFact,ndcg_at_10,0.74485
-Touche2020,ndcg_at_10,
-TRECCOVID,ndcg_at_10,0.77592
-BIOSSES,cosine_spearman,0.862501580394454
-SICK-R,cosine_spearman,0.862501580394454
-STS12,cosine_spearman,0.675020551515597
-STS13,cosine_spearman,0.7916333501772059
-STS14,cosine_spearman,0.7446048326701329
-STS15,cosine_spearman,0.8447194637929274
-STS16,cosine_spearman,0.8096089203722137
-STS17,cosine_spearman,0.8778202647220289
-STS22,cosine_spearman,0.6934889515492327
-STSBenchmark,cosine_spearman,0.8138977341532744
-SummEval,cosine_spearman,0.24747448399760644

+model,dataset,metric,value
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,AmazonCounterfactualClassification,accuracy,0.6922388059701492
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,AmazonPolarityClassification,accuracy,0.7126109999999999
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,AmazonReviewsClassification,accuracy,0.39191999999999994
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,Banking77Classification,accuracy,0.8449350649350649
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,EmotionClassification,accuracy,0.49655000000000005
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ImdbClassification,accuracy,0.666376
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MassiveIntentClassification,accuracy,0.703866845998655
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MassiveScenarioClassification,accuracy,0.7627774041694687
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MTOPDomainClassification,accuracy,0.9346557227542178
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MTOPIntentClassification,accuracy,0.7242134062927497
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ToxicConversationsClassification,accuracy,0.67709
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,TweetSentimentExtractionClassification,accuracy,0.5685059422750425
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ArxivClusteringP2P,v_measure,0.4559037428592033
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ArxivClusteringS2S,v_measure,0.3886371701986363
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,BiorxivClusteringP2P,v_measure,0.3655145972298938
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,BiorxivClusteringS2S,v_measure,0.3369901851846774
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MedrxivClusteringP2P,v_measure,0.3151174592577334
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MedrxivClusteringS2S,v_measure,0.28764235987575365
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,RedditClustering,v_measure,0.4045148482612238
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,RedditClusteringP2P,v_measure,0.5574949067303913
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,StackExchangeClustering,v_measure,0.5920812266121527
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,StackExchangeClusteringP2P,v_measure,0.33954248554638056
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,TwentyNewsgroupsClustering,v_measure,0.3946372298609047
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SprintDuplicateQuestions,ap,0.9384024096781063
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,TwitterSemEval2015,ap,0.6686677647503386
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,TwitterURLCorpus,ap,0.8528960532524223
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,AskUbuntuDupQuestions,map,0.6162556869142777
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MindSmallReranking,map,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SciDocsRR,map,0.8078825425914723
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,StackOverflowDupQuestions,map,0.5152800990025549
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ArguAna,ndcg_at_10,0.52203
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,ClimateFEVER,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,CQADupstackRetrieval,ndcg_at_10,0.3940316666666666
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,DBPedia,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,FEVER,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,FiQA2018,ndcg_at_10,0.37463
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,HotpotQA,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,MSMARCO,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,NFCorpus,ndcg_at_10,0.36161
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,NQ,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,QuoraRetrieval,ndcg_at_10,0.87899
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SCIDOCS,ndcg_at_10,0.19899
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SciFact,ndcg_at_10,0.74485
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,Touche2020,ndcg_at_10,
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,TRECCOVID,ndcg_at_10,0.77592
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,BIOSSES,cosine_spearman,0.862501580394454
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SICK-R,cosine_spearman,0.862501580394454
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS12,cosine_spearman,0.675020551515597
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS13,cosine_spearman,0.7916333501772059
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS14,cosine_spearman,0.7446048326701329
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS15,cosine_spearman,0.8447194637929274
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS16,cosine_spearman,0.8096089203722137
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS17,cosine_spearman,0.8778202647220289
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STS22,cosine_spearman,0.6934889515492327
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,STSBenchmark,cosine_spearman,0.8138977341532744
+SGPT-5.8B-weightedmean-msmarco-specb-bitfit,SummEval,cosine_spearman,0.24747448399760644

SGPT-5.8B-weightedmean-nli-bitfit_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7407462686567164
-AmazonPolarityClassification,accuracy,0.8230920000000002
-AmazonReviewsClassification,accuracy,0.41584000000000004
-Banking77Classification,accuracy,0.8174025974025974
-EmotionClassification,accuracy,0.4991999999999999
-ImdbClassification,accuracy,0.7432920000000001
-MassiveIntentClassification,accuracy,0.7000336247478144
-MassiveScenarioClassification,accuracy,0.7502689979825151
-MTOPDomainClassification,accuracy,0.896374829001368
-MTOPIntentClassification,accuracy,0.7068171454628362
-ToxicConversationsClassification,accuracy,0.6993339999999999
-TweetSentimentExtractionClassification,accuracy,0.6243916242218449
-ArxivClusteringP2P,v_measure,0.40553923271901693
-ArxivClusteringS2S,v_measure,0.3249323183712211
-BiorxivClusteringP2P,v_measure,0.3359451202614059
-BiorxivClusteringS2S,v_measure,0.29128241446157166
-MedrxivClusteringP2P,v_measure,0.30327566856300814
-MedrxivClusteringS2S,v_measure,0.2801650210863619
-RedditClustering,v_measure,0.42171313610410677
-RedditClusteringP2P,v_measure,0.4801815621479994
-StackExchangeClustering,v_measure,0.5413314692311623
-StackExchangeClusteringP2P,v_measure,0.31115181648287144
-TwentyNewsgroupsClustering,v_measure,0.37202082549859794
-SprintDuplicateQuestions,ap,0.8053523657342799
-TwitterSemEval2015,ap,0.6599787692764192
-TwitterURLCorpus,ap,0.8454288910204419
-AskUbuntuDupQuestions,map,0.5589811361443445
-MindSmallReranking,map,
-SciDocsRR,map,0.7753549990038017
-StackOverflowDupQuestions,map,0.44771112666694335
-ArguAna,ndcg_at_10,0.3507
-ClimateFEVER,ndcg_at_10,0.17574
-CQADupstackRetrieval,ndcg_at_10,0.29978333333333335
-DBPedia,ndcg_at_10,0.26098
-FEVER,ndcg_at_10,0.38644
-FiQA2018,ndcg_at_10,0.18591
-HotpotQA,ndcg_at_10,0.33995
-MSMARCO,ndcg_at_10,
-NFCorpus,ndcg_at_10,0.28256
-NQ,ndcg_at_10,0.24628
-QuoraRetrieval,ndcg_at_10,0.8468
-SCIDOCS,ndcg_at_10,0.13554
-SciFact,ndcg_at_10,0.46662
-Touche2020,ndcg_at_10,0.16178
-TRECCOVID,ndcg_at_10,0.55353
-BIOSSES,cosine_spearman,0.7950000423261177
-SICK-R,cosine_spearman,0.7958562467776268
-STS12,cosine_spearman,0.7428502198729446
-STS13,cosine_spearman,0.8535148434923192
-STS14,cosine_spearman,0.7920612995350826
-STS15,cosine_spearman,0.8552171407629341
-STS16,cosine_spearman,0.8253853238521991
-STS17,cosine_spearman,0.904389369935707
-STS22,cosine_spearman,0.6319719780439462
-STSBenchmark,cosine_spearman,0.8566816193002651
-SummEval,cosine_spearman,0.30384175038360195

+model,dataset,metric,value
+SGPT-5.8B-weightedmean-nli-bitfit,AmazonCounterfactualClassification,accuracy,0.7407462686567164
+SGPT-5.8B-weightedmean-nli-bitfit,AmazonPolarityClassification,accuracy,0.8230920000000002
+SGPT-5.8B-weightedmean-nli-bitfit,AmazonReviewsClassification,accuracy,0.41584000000000004
+SGPT-5.8B-weightedmean-nli-bitfit,Banking77Classification,accuracy,0.8174025974025974
+SGPT-5.8B-weightedmean-nli-bitfit,EmotionClassification,accuracy,0.4991999999999999
+SGPT-5.8B-weightedmean-nli-bitfit,ImdbClassification,accuracy,0.7432920000000001
+SGPT-5.8B-weightedmean-nli-bitfit,MassiveIntentClassification,accuracy,0.7000336247478144
+SGPT-5.8B-weightedmean-nli-bitfit,MassiveScenarioClassification,accuracy,0.7502689979825151
+SGPT-5.8B-weightedmean-nli-bitfit,MTOPDomainClassification,accuracy,0.896374829001368
+SGPT-5.8B-weightedmean-nli-bitfit,MTOPIntentClassification,accuracy,0.7068171454628362
+SGPT-5.8B-weightedmean-nli-bitfit,ToxicConversationsClassification,accuracy,0.6993339999999999
+SGPT-5.8B-weightedmean-nli-bitfit,TweetSentimentExtractionClassification,accuracy,0.6243916242218449
+SGPT-5.8B-weightedmean-nli-bitfit,ArxivClusteringP2P,v_measure,0.40553923271901693
+SGPT-5.8B-weightedmean-nli-bitfit,ArxivClusteringS2S,v_measure,0.3249323183712211
+SGPT-5.8B-weightedmean-nli-bitfit,BiorxivClusteringP2P,v_measure,0.3359451202614059
+SGPT-5.8B-weightedmean-nli-bitfit,BiorxivClusteringS2S,v_measure,0.29128241446157166
+SGPT-5.8B-weightedmean-nli-bitfit,MedrxivClusteringP2P,v_measure,0.30327566856300814
+SGPT-5.8B-weightedmean-nli-bitfit,MedrxivClusteringS2S,v_measure,0.2801650210863619
+SGPT-5.8B-weightedmean-nli-bitfit,RedditClustering,v_measure,0.42171313610410677
+SGPT-5.8B-weightedmean-nli-bitfit,RedditClusteringP2P,v_measure,0.4801815621479994
+SGPT-5.8B-weightedmean-nli-bitfit,StackExchangeClustering,v_measure,0.5413314692311623
+SGPT-5.8B-weightedmean-nli-bitfit,StackExchangeClusteringP2P,v_measure,0.31115181648287144
+SGPT-5.8B-weightedmean-nli-bitfit,TwentyNewsgroupsClustering,v_measure,0.37202082549859794
+SGPT-5.8B-weightedmean-nli-bitfit,SprintDuplicateQuestions,ap,0.8053523657342799
+SGPT-5.8B-weightedmean-nli-bitfit,TwitterSemEval2015,ap,0.6599787692764192
+SGPT-5.8B-weightedmean-nli-bitfit,TwitterURLCorpus,ap,0.8454288910204419
+SGPT-5.8B-weightedmean-nli-bitfit,AskUbuntuDupQuestions,map,0.5589811361443445
+SGPT-5.8B-weightedmean-nli-bitfit,MindSmallReranking,map,
+SGPT-5.8B-weightedmean-nli-bitfit,SciDocsRR,map,0.7753549990038017
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+SGPT-5.8B-weightedmean-nli-bitfit,DBPedia,ndcg_at_10,0.26098
+SGPT-5.8B-weightedmean-nli-bitfit,FEVER,ndcg_at_10,0.38644
+SGPT-5.8B-weightedmean-nli-bitfit,FiQA2018,ndcg_at_10,0.18591
+SGPT-5.8B-weightedmean-nli-bitfit,HotpotQA,ndcg_at_10,0.33995
+SGPT-5.8B-weightedmean-nli-bitfit,MSMARCO,ndcg_at_10,
+SGPT-5.8B-weightedmean-nli-bitfit,NFCorpus,ndcg_at_10,0.28256
+SGPT-5.8B-weightedmean-nli-bitfit,NQ,ndcg_at_10,0.24628
+SGPT-5.8B-weightedmean-nli-bitfit,QuoraRetrieval,ndcg_at_10,0.8468
+SGPT-5.8B-weightedmean-nli-bitfit,SCIDOCS,ndcg_at_10,0.13554
+SGPT-5.8B-weightedmean-nli-bitfit,SciFact,ndcg_at_10,0.46662
+SGPT-5.8B-weightedmean-nli-bitfit,Touche2020,ndcg_at_10,0.16178
+SGPT-5.8B-weightedmean-nli-bitfit,TRECCOVID,ndcg_at_10,0.55353
+SGPT-5.8B-weightedmean-nli-bitfit,BIOSSES,cosine_spearman,0.7950000423261177
+SGPT-5.8B-weightedmean-nli-bitfit,SICK-R,cosine_spearman,0.7958562467776268
+SGPT-5.8B-weightedmean-nli-bitfit,STS12,cosine_spearman,0.7428502198729446
+SGPT-5.8B-weightedmean-nli-bitfit,STS13,cosine_spearman,0.8535148434923192
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all-MiniLM-L6-v2_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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-AmazonPolarityClassification,accuracy,0.62582975
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-SprintDuplicateQuestions,ap,0.9455063045792446
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-AskUbuntuDupQuestions,map,0.634768168123733
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all-mpnet-base-v2_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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-AmazonPolarityClassification,accuracy,0.6713145
-AmazonReviewsClassification,accuracy,0.31920000000000004
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bert-base-uncased_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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contriever-base-msmarco_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7219402985074627
-AmazonPolarityClassification,accuracy,0.6863262499999999
-AmazonReviewsClassification,accuracy,0.37422
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-SprintDuplicateQuestions,ap,0.9554507015913917
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glove.6B.300d_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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gtr-t5-base_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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gtr-t5-xxl_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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komninos_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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msmarco-bert-co-condensor_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
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sentence-t5-base_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7582089552238807
-AmazonPolarityClassification,accuracy,0.8511737500000001
-AmazonReviewsClassification,accuracy,0.44943999999999995
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-ArxivClusteringP2P,v_measure,0.39275291662236395
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-SummEval,cosine_spearman,0.313940211538976

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sentence-t5-xxl_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7707462686567165
-AmazonPolarityClassification,accuracy,0.9278587500000001
-AmazonReviewsClassification,accuracy,0.48926
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-MTOPDomainClassification,accuracy,0.9249430004559963
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-ToxicConversationsClassification,accuracy,0.700366
-TweetSentimentExtractionClassification,accuracy,0.6200905489530277
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sgpt-bloom-7b1-msmarco_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,
-AmazonPolarityClassification,accuracy,
-AmazonReviewsClassification,accuracy,
-Banking77Classification,accuracy,
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+model,dataset,metric,value
+sgpt-bloom-7b1-msmarco,AmazonCounterfactualClassification,accuracy,
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sup-simcse-bert-base-uncased_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.7574626865671641
-AmazonPolarityClassification,accuracy,0.8247332500000001
-AmazonReviewsClassification,accuracy,0.39598000000000005
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-ToxicConversationsClassification,accuracy,0.720444
-TweetSentimentExtractionClassification,accuracy,0.5973401245048104
-ArxivClusteringP2P,v_measure,0.35178847292844123
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-StackExchangeClustering,v_measure,0.4755177976262692
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-TwentyNewsgroupsClustering,v_measure,0.3486285218255636
-SprintDuplicateQuestions,ap,0.6938793582706408
-TwitterSemEval2015,ap,0.6775361224485238
-TwitterURLCorpus,ap,0.8388869258620997
-AskUbuntuDupQuestions,map,0.5180158192605682
-MindSmallReranking,map,0.2929834424526365
-SciDocsRR,map,0.7013643643529786
-StackOverflowDupQuestions,map,0.3890480943394549
-ArguAna,ndcg_at_10,0.38331
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-BIOSSES,cosine_spearman,0.6837806406467221
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-STS14,cosine_spearman,0.8018946888447316
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-STS17,cosine_spearman,0.8943673830561076
-STS22,cosine_spearman,0.6195505621412989
-STSBenchmark,cosine_spearman,0.8424697229482505
-SummEval,cosine_spearman,0.23308772096174835

+model,dataset,metric,value
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+sup-simcse-bert-base-uncased,Banking77Classification,accuracy,0.7575974025974027
+sup-simcse-bert-base-uncased,EmotionClassification,accuracy,0.4481
+sup-simcse-bert-base-uncased,ImdbClassification,accuracy,0.7353120000000001
+sup-simcse-bert-base-uncased,MassiveIntentClassification,accuracy,0.6595158036314727
+sup-simcse-bert-base-uncased,MassiveScenarioClassification,accuracy,0.7078345662407532
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+sup-simcse-bert-base-uncased,ToxicConversationsClassification,accuracy,0.720444
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+sup-simcse-bert-base-uncased,SummEval,cosine_spearman,0.23308772096174835

unsup-simcse-bert-base-uncased_results.csv CHANGED Viewed

@@ -1,57 +1,57 @@
-dataset,metric,value
-AmazonCounterfactualClassification,accuracy,0.6708955223880597
-AmazonPolarityClassification,accuracy,0.7447925
-AmazonReviewsClassification,accuracy,0.33846000000000004
-Banking77Classification,accuracy,0.735487012987013
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-STSBenchmark,cosine_spearman,0.7651512563863317
-SummEval,cosine_spearman,0.3114893410144058

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