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--- |
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model-index: |
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- name: no_model_name_available |
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results: |
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- dataset: |
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config: en |
|
name: MTEB MassiveScenarioClassification |
|
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 |
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split: test |
|
type: mteb/amazon_massive_scenario |
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metrics: |
|
- type: accuracy |
|
value: 0.7591123066577001 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB ImdbClassification |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
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split: test |
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type: mteb/imdb |
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metrics: |
|
- type: accuracy |
|
value: 0.737088 |
|
task: |
|
type: Classification |
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- dataset: |
|
config: default |
|
name: MTEB SCIDOCS |
|
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
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split: test |
|
type: mteb/scidocs |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.14645 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB BIOSSES |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
split: test |
|
type: mteb/biosses-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.7433663356966029 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB TwentyNewsgroupsClustering |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
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split: test |
|
type: mteb/twentynewsgroups-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 0.4597050473156563 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB FEVER |
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revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
split: test |
|
type: mteb/fever |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.25419 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterSemEval2015 |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
split: test |
|
type: mteb/twittersemeval2015-pairclassification |
|
metrics: |
|
- type: ap |
|
value: 0.6721556260260827 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: default |
|
name: MTEB NFCorpus |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
split: test |
|
type: mteb/nfcorpus |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.23269 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB HotpotQA |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
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split: test |
|
type: mteb/hotpotqa |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.29778 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB STS15 |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
split: test |
|
type: mteb/sts15-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.8236097824265283 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
split: test |
|
type: mteb/cqadupstack-mathematica |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.1537 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackEnglishRetrieval |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
split: test |
|
type: mteb/cqadupstack-english |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.24932 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringP2P |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
split: test |
|
type: mteb/arxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 0.44358822700946515 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB FiQA2018 |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
split: test |
|
type: mteb/fiqa |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.15899 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB SciDocsRR |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
split: test |
|
type: mteb/scidocs-reranking |
|
metrics: |
|
- type: map |
|
value: 0.7885898217382544 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClustering |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
split: test |
|
type: mteb/reddit-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 0.4966068486651516 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB Touche2020 |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
split: test |
|
type: mteb/touche2020 |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.12018 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPDomainClassification |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
split: test |
|
type: mteb/mtop_domain |
|
metrics: |
|
- type: accuracy |
|
value: 0.925079799361605 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB Banking77Classification |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
split: test |
|
type: mteb/banking77 |
|
metrics: |
|
- type: accuracy |
|
value: 0.8135064935064935 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB SummEval |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
split: test |
|
type: mteb/summeval |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.2889324869563879 |
|
task: |
|
type: Summarization |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterURLCorpus |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
split: test |
|
type: mteb/twitterurlcorpus-pairclassification |
|
metrics: |
|
- type: ap |
|
value: 0.8389671787853494 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: en-en |
|
name: MTEB STS17 |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.8952714837442336 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringS2S |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
split: test |
|
type: mteb/arxiv-clustering-s2s |
|
metrics: |
|
- type: v_measure |
|
value: 0.37137555761396807 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
split: test |
|
type: mteb/cqadupstack-webmasters |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.25273 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonCounterfactualClassification |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
split: test |
|
type: mteb/amazon_counterfactual |
|
metrics: |
|
- type: accuracy |
|
value: 0.6864179104477611 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB MindSmallReranking |
|
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7 |
|
split: test |
|
type: mteb/mind_small |
|
metrics: |
|
- type: map |
|
value: 0.30932148624587386 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB MSMARCO |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
split: dev |
|
type: mteb/msmarco |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.20298 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB STS13 |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
split: test |
|
type: mteb/sts13-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.8282788944395595 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB StackOverflowDupQuestions |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
split: test |
|
type: mteb/stackoverflowdupquestions-reranking |
|
metrics: |
|
- type: map |
|
value: 0.4666186087388775 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: en |
|
name: MTEB STS22 |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.6528643554148379 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPIntentClassification |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
split: test |
|
type: mteb/mtop_intent |
|
metrics: |
|
- type: accuracy |
|
value: 0.6971044231646147 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClusteringP2P |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
split: test |
|
type: mteb/reddit-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 0.5520754883265135 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackUnixRetrieval |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
split: test |
|
type: mteb/cqadupstack-unix |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.23623 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB AskUbuntuDupQuestions |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
split: test |
|
type: mteb/askubuntudupquestions-reranking |
|
metrics: |
|
- type: map |
|
value: 0.5611127024658868 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB QuoraRetrieval |
|
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
split: test |
|
type: mteb/quora |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.84318 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: en |
|
name: MTEB MassiveIntentClassification |
|
revision: 4672e20407010da34463acc759c162ca9734bca6 |
|
split: test |
|
type: mteb/amazon_massive_intent |
|
metrics: |
|
- type: accuracy |
|
value: 0.7035305985205111 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB SprintDuplicateQuestions |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
split: test |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
metrics: |
|
- type: ap |
|
value: 0.8547019640605763 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: default |
|
name: MTEB AmazonPolarityClassification |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
split: test |
|
type: mteb/amazon_polarity |
|
metrics: |
|
- type: accuracy |
|
value: 0.8622175000000001 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB SICK-R |
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d |
|
split: test |
|
type: mteb/sickr-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.8074931072126776 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB StackExchangeClustering |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
split: test |
|
type: mteb/stackexchange-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 0.5824562550961052 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB DBPedia |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
split: test |
|
type: mteb/dbpedia |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.27904 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
split: test |
|
type: mteb/cqadupstack-programmers |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.22149 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringP2P |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
split: test |
|
type: mteb/medrxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 0.3237094363112699 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB ToxicConversationsClassification |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
split: test |
|
type: mteb/toxic_conversations_50k |
|
metrics: |
|
- type: accuracy |
|
value: 0.69345703125 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackStatsRetrieval |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
split: test |
|
type: mteb/cqadupstack-stats |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.20067 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB STS16 |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
split: test |
|
type: mteb/sts16-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.8059731462041985 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB SciFact |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
split: test |
|
type: mteb/scifact |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.50544 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB TweetSentimentExtractionClassification |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
split: test |
|
type: mteb/tweet_sentiment_extraction |
|
metrics: |
|
- type: accuracy |
|
value: 0.6107243916242219 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB STS12 |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
split: test |
|
type: mteb/sts12-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.7407164757075673 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
split: test |
|
type: mteb/cqadupstack-physics |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.31707 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB BiorxivClusteringP2P |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
split: test |
|
type: mteb/biorxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 0.36100815785085566 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackGisRetrieval |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
split: test |
|
type: mteb/cqadupstack-gis |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.22124 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackGamingRetrieval |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
split: test |
|
type: mteb/cqadupstack-gaming |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.42459 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB STSBenchmark |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
split: test |
|
type: mteb/stsbenchmark-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.7980073939799789 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackWordpressRetrieval |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
split: test |
|
type: mteb/cqadupstack-wordpress |
|
metrics: |
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- type: ndcg_at_10 |
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value: 0.15801 |
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task: |
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type: Retrieval |
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- dataset: |
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config: default |
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name: MTEB StackExchangeClusteringP2P |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
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split: test |
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type: mteb/stackexchange-clustering-p2p |
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metrics: |
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- type: v_measure |
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value: 0.30348330076332997 |
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task: |
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type: Clustering |
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- dataset: |
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config: default |
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name: MTEB BiorxivClusteringS2S |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
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split: test |
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type: mteb/biorxiv-clustering-s2s |
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metrics: |
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- type: v_measure |
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value: 0.3066700709222508 |
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task: |
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type: Clustering |
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- dataset: |
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config: default |
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name: MTEB CQADupstackTexRetrieval |
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revision: 46989137a86843e03a6195de44b09deda022eec7 |
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split: test |
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type: mteb/cqadupstack-tex |
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metrics: |
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- type: ndcg_at_10 |
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value: 0.14452 |
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task: |
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type: Retrieval |
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- dataset: |
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config: default |
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name: MTEB CQADupstackAndroidRetrieval |
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revision: f46a197baaae43b4f621051089b82a364682dfeb |
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split: test |
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type: mteb/cqadupstack-android |
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metrics: |
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- type: ndcg_at_10 |
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value: 0.34255 |
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task: |
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type: Retrieval |
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- dataset: |
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config: default |
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name: MTEB TRECCOVID |
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revision: bb9466bac8153a0349341eb1b22e06409e78ef4e |
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split: test |
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type: mteb/trec-covid |
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metrics: |
|
- type: ndcg_at_10 |
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value: 0.37473 |
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task: |
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type: Retrieval |
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- dataset: |
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config: default |
|
name: MTEB NQ |
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revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
split: test |
|
type: mteb/nq |
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metrics: |
|
- type: ndcg_at_10 |
|
value: 0.21214 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
split: test |
|
type: mteb/cqadupstack-webmasters |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.25273 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ArguAna |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
split: test |
|
type: mteb/arguana |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.44416 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB STS14 |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
split: test |
|
type: mteb/sts14-sts |
|
metrics: |
|
- type: cosine_spearman |
|
value: 0.7544709602964104 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringS2S |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
split: test |
|
type: mteb/medrxiv-clustering-s2s |
|
metrics: |
|
- type: v_measure |
|
value: 0.2932525018378166 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonReviewsClassification |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
split: test |
|
type: mteb/amazon_reviews_multi |
|
metrics: |
|
- type: accuracy |
|
value: 0.43157999999999996 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB ClimateFEVER |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
split: test |
|
type: mteb/climate-fever |
|
metrics: |
|
- type: ndcg_at_10 |
|
value: 0.11327 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB EmotionClassification |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
split: test |
|
type: mteb/emotion |
|
metrics: |
|
- type: accuracy |
|
value: 0.48450000000000004 |
|
task: |
|
type: Classification |
|
tags: |
|
- mteb |
|
--- |
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# Model Card for Model ID |
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## Model Details |
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### Model Description |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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