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nouamanetazi HF Staff commited on
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Update sentence-t5-xxl_results.csv

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  1. sentence-t5-xxl_results.csv +57 -57
sentence-t5-xxl_results.csv CHANGED
@@ -1,57 +1,57 @@
1
- dataset,metric,value
2
- AmazonCounterfactualClassification,accuracy,0.7707462686567165
3
- AmazonPolarityClassification,accuracy,0.9278587500000001
4
- AmazonReviewsClassification,accuracy,0.48926
5
- Banking77Classification,accuracy,0.8230844155844155
6
- EmotionClassification,accuracy,0.4857
7
- ImdbClassification,accuracy,0.902268
8
- MassiveIntentClassification,accuracy,0.7344317417619368
9
- MassiveScenarioClassification,accuracy,0.7481842636180229
10
- MTOPDomainClassification,accuracy,0.9249430004559963
11
- MTOPIntentClassification,accuracy,0.683264933880529
12
- ToxicConversationsClassification,accuracy,0.700366
13
- TweetSentimentExtractionClassification,accuracy,0.6200905489530277
14
- ArxivClusteringP2P,v_measure,0.428912091513744
15
- ArxivClusteringS2S,v_measure,0.334692173332607
16
- BiorxivClusteringP2P,v_measure,0.3652762269967934
17
- BiorxivClusteringS2S,v_measure,0.2866305685584199
18
- MedrxivClusteringP2P,v_measure,0.3208579812374771
19
- MedrxivClusteringS2S,v_measure,0.2681601616447503
20
- RedditClustering,v_measure,0.5898542282844221
21
- RedditClusteringP2P,v_measure,0.6445543643659679
22
- StackExchangeClustering,v_measure,0.7077797692376002
23
- StackExchangeClusteringP2P,v_measure,0.3525246972831145
24
- TwentyNewsgroupsClustering,v_measure,0.5093024400468489
25
- SprintDuplicateQuestions,ap,0.8888675641034331
26
- TwitterSemEval2015,ap,0.802843387858549
27
- TwitterURLCorpus,ap,0.8601198098811131
28
- AskUbuntuDupQuestions,map,0.6615532012360636
29
- MindSmallReranking,map,0.3059647884122016
30
- SciDocsRR,map,0.7609412848204858
31
- StackOverflowDupQuestions,map,0.5285484177221984
32
- ArguAna,ndcg_at_10,0.39847
33
- ClimateFEVER,ndcg_at_10,
34
- CQADupstackRetrieval,ndcg_at_10,0.44654833333333344
35
- DBPedia,ndcg_at_10,
36
- FEVER,ndcg_at_10,
37
- FiQA2018,ndcg_at_10,0.46677
38
- HotpotQA,ndcg_at_10,
39
- MSMARCO,ndcg_at_10,
40
- NFCorpus,ndcg_at_10,0.35077
41
- NQ,ndcg_at_10,0.5287
42
- QuoraRetrieval,ndcg_at_10,0.85959
43
- SCIDOCS,ndcg_at_10,0.17173
44
- SciFact,ndcg_at_10,0.5538
45
- Touche2020,ndcg_at_10,0.21647
46
- TRECCOVID,ndcg_at_10,0.59481
47
- BIOSSES,cosine_spearman,0.8042954348508337
48
- SICK-R,cosine_spearman,0.8042954348508337
49
- STS12,cosine_spearman,0.7884633095838921
50
- STS13,cosine_spearman,0.8893834486158684
51
- STS14,cosine_spearman,0.8485684801116044
52
- STS15,cosine_spearman,0.8931982869751905
53
- STS16,cosine_spearman,0.846657396318755
54
- STS17,cosine_spearman,0.8946272351246337
55
- STS22,cosine_spearman,0.6532938965959216
56
- STSBenchmark,cosine_spearman,0.8401139141474803
57
- SummEval,cosine_spearman,0.30077056036328337
 
1
+ model,dataset,metric,value
2
+ sentence-t5-xxl,AmazonCounterfactualClassification,accuracy,0.7707462686567165
3
+ sentence-t5-xxl,AmazonPolarityClassification,accuracy,0.9278587500000001
4
+ sentence-t5-xxl,AmazonReviewsClassification,accuracy,0.48926
5
+ sentence-t5-xxl,Banking77Classification,accuracy,0.8230844155844155
6
+ sentence-t5-xxl,EmotionClassification,accuracy,0.4857
7
+ sentence-t5-xxl,ImdbClassification,accuracy,0.902268
8
+ sentence-t5-xxl,MassiveIntentClassification,accuracy,0.7344317417619368
9
+ sentence-t5-xxl,MassiveScenarioClassification,accuracy,0.7481842636180229
10
+ sentence-t5-xxl,MTOPDomainClassification,accuracy,0.9249430004559963
11
+ sentence-t5-xxl,MTOPIntentClassification,accuracy,0.683264933880529
12
+ sentence-t5-xxl,ToxicConversationsClassification,accuracy,0.700366
13
+ sentence-t5-xxl,TweetSentimentExtractionClassification,accuracy,0.6200905489530277
14
+ sentence-t5-xxl,ArxivClusteringP2P,v_measure,0.428912091513744
15
+ sentence-t5-xxl,ArxivClusteringS2S,v_measure,0.334692173332607
16
+ sentence-t5-xxl,BiorxivClusteringP2P,v_measure,0.3652762269967934
17
+ sentence-t5-xxl,BiorxivClusteringS2S,v_measure,0.2866305685584199
18
+ sentence-t5-xxl,MedrxivClusteringP2P,v_measure,0.3208579812374771
19
+ sentence-t5-xxl,MedrxivClusteringS2S,v_measure,0.2681601616447503
20
+ sentence-t5-xxl,RedditClustering,v_measure,0.5898542282844221
21
+ sentence-t5-xxl,RedditClusteringP2P,v_measure,0.6445543643659679
22
+ sentence-t5-xxl,StackExchangeClustering,v_measure,0.7077797692376002
23
+ sentence-t5-xxl,StackExchangeClusteringP2P,v_measure,0.3525246972831145
24
+ sentence-t5-xxl,TwentyNewsgroupsClustering,v_measure,0.5093024400468489
25
+ sentence-t5-xxl,SprintDuplicateQuestions,ap,0.8888675641034331
26
+ sentence-t5-xxl,TwitterSemEval2015,ap,0.802843387858549
27
+ sentence-t5-xxl,TwitterURLCorpus,ap,0.8601198098811131
28
+ sentence-t5-xxl,AskUbuntuDupQuestions,map,0.6615532012360636
29
+ sentence-t5-xxl,MindSmallReranking,map,0.3059647884122016
30
+ sentence-t5-xxl,SciDocsRR,map,0.7609412848204858
31
+ sentence-t5-xxl,StackOverflowDupQuestions,map,0.5285484177221984
32
+ sentence-t5-xxl,ArguAna,ndcg_at_10,0.39847
33
+ sentence-t5-xxl,ClimateFEVER,ndcg_at_10,
34
+ sentence-t5-xxl,CQADupstackRetrieval,ndcg_at_10,0.44654833333333344
35
+ sentence-t5-xxl,DBPedia,ndcg_at_10,
36
+ sentence-t5-xxl,FEVER,ndcg_at_10,
37
+ sentence-t5-xxl,FiQA2018,ndcg_at_10,0.46677
38
+ sentence-t5-xxl,HotpotQA,ndcg_at_10,
39
+ sentence-t5-xxl,MSMARCO,ndcg_at_10,
40
+ sentence-t5-xxl,NFCorpus,ndcg_at_10,0.35077
41
+ sentence-t5-xxl,NQ,ndcg_at_10,0.5287
42
+ sentence-t5-xxl,QuoraRetrieval,ndcg_at_10,0.85959
43
+ sentence-t5-xxl,SCIDOCS,ndcg_at_10,0.17173
44
+ sentence-t5-xxl,SciFact,ndcg_at_10,0.5538
45
+ sentence-t5-xxl,Touche2020,ndcg_at_10,0.21647
46
+ sentence-t5-xxl,TRECCOVID,ndcg_at_10,0.59481
47
+ sentence-t5-xxl,BIOSSES,cosine_spearman,0.8042954348508337
48
+ sentence-t5-xxl,SICK-R,cosine_spearman,0.8042954348508337
49
+ sentence-t5-xxl,STS12,cosine_spearman,0.7884633095838921
50
+ sentence-t5-xxl,STS13,cosine_spearman,0.8893834486158684
51
+ sentence-t5-xxl,STS14,cosine_spearman,0.8485684801116044
52
+ sentence-t5-xxl,STS15,cosine_spearman,0.8931982869751905
53
+ sentence-t5-xxl,STS16,cosine_spearman,0.846657396318755
54
+ sentence-t5-xxl,STS17,cosine_spearman,0.8946272351246337
55
+ sentence-t5-xxl,STS22,cosine_spearman,0.6532938965959216
56
+ sentence-t5-xxl,STSBenchmark,cosine_spearman,0.8401139141474803
57
+ sentence-t5-xxl,SummEval,cosine_spearman,0.30077056036328337