# all-MiniLM-L12-v2 > Source: Benchize (https://benchize.com) — https://benchize.com/models/all-minilm-l12-v2. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/all-minilm-l12-v2. Sentence Transformers Canonical URL: https://benchize.com/models/all-minilm-l12-v2 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Sentence Transformers ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.00752source score | 4 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.007523000000000001 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.007523000000000001 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 83 scoresByTask {"Core17InstructionRetrieval":0.016885,"News21InstructionRetrieval":-0.003513,"Robust04InstructionRetrieval":-0.035941} scoresByTaskType {"InstructionReranking":-0.007523000000000001} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/82` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.07source score | 16 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.07442 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 199 scoresByTask {"German1Retrieval":0.49634,"GermanHealthcare1Retrieval":0.31249,"GermanLegal1Retrieval":0.39564,"LegalQuAD":0.07442} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(deu%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/198` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.43source score | 14 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.42690866666666666 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.42690866666666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 86 ### Reported statistics experiments Not reported rank 156 scoresByTask {"ArguAna":0.47128,"CQADupstackRetrieval":0.42533,"ClimateFEVER":0.21572,"DBPedia":0.33355,"FEVER":0.55905,"FiQA2018":0.37274,"HotpotQA":0.44589,"MSMARCO":0.39033,"NFCorpus":0.3225,"NQ":0.46469,"QuoraRetrieval":0.87758,"SCIDOCS":0.21818,"SciFact":0.62639,"TRECCOVID":0.50816,"Touche2020":0.17224} scoresByTaskType {"Retrieval":0.42690866666666666} trainedOnTasks ["MSMARCO","NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/155` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.37source score | 9 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.36683364166666665 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4515340198412699 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 103 scoresByTask {"ArguAna-NL.v2":0.22172,"BelebeleRetrieval":0.5735,"CovidDisinformationNLMultiLabelClassification":0.454233,"DutchBookReviewSentimentClassification.v2":0.518938,"DutchColaClassification":0.544991,"DutchGovernmentBiasClassification":0.573215,"DutchNewsArticlesClassification":0.379054,"DutchNewsArticlesClusteringP2P":0.202995,"DutchNewsArticlesClusteringS2S":0.106808,"DutchNewsArticlesRetrieval":0.28629,"DutchSarcasticHeadlinesClassification":0.562869,"IconclassClassification":0.449145,"IconclassClusteringS2S":0.176616,"LegalQANLRetrieval":0.37938,"MassiveIntentClassification":0.4116795,"MassiveScenarioClassification":0.488384,"MultiEURLEXMultilabelClassification":0.01334,"MultiHateClassification":0.5359,"NFCorpus-NL.v2":0.19487,"OpenTenderClassification":0.252495,"OpenTenderClusteringP2P":0.187958,"OpenTenderClusteringS2S":0.168605,"OpenTenderRetrieval":0.27888,"SCIDOCS-NL.v2":0.08769,"SIB200Classification":0.4294886666666667,"SIB200ClusteringS2S":0.13039,"SICK-NL-STS":0.543349,"SICKNLPairClassification":0.594139,"STSBenchmarkMultilingualSTS":0.6518584999999999,"SciFact-NL.v2":0.33977,"VABBClusteringP2P":0.251102,"VABBClusteringS2S":0.228009,"VABBMultiLabelClassification":0.345673,"VABBRetrieval":0.44176,"VaccinChatNLClassification":0.314649,"WebFAQRetrieval":0.36632,"WikipediaRerankingMultilingual":0.75229,"WikipediaRetrievalMultilingual":0.61419,"XLWICNLPairClassification":0.573522,"bBSARDNLRetrieval":0.04728} scoresByTaskType {"Classification":0.4550673472222222,"Clustering":0.181560375,"MultilabelClassification":0.271082,"PairClassification":0.5838304999999999,"Reranking":0.75229,"Retrieval":0.31930416666666667,"STS":0.59760375} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/102` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.26source score | 16 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2559475 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 189 scoresByTask {"AILACasedocs":0.16797,"AILAStatutes":0.20714,"FrenchLegal1Retrieval":0.09066,"GermanLegal1Retrieval":0.39564,"JapaneseLegal1Retrieval":0.23908,"LegalQuAD":0.07442,"LegalSummarization":0.57426} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Law%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/189` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.13source score | 14 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.12899727272727274 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 163 scoresByTask {"CUREv1":0.12899727272727274,"French1Retrieval":0.69348,"FrenchLegal1Retrieval":0.09066} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fra%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/162` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.25source score | 13 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.25262999999999997 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.25262999999999997 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 147 scoresByTask {"LEMBNarrativeQARetrieval":0.19635,"LEMBNeedleRetrieval":0.1225,"LEMBPasskeyRetrieval":0.1475,"LEMBQMSumRetrieval":0.1308,"LEMBSummScreenFDRetrieval":0.46981,"LEMBWikimQARetrieval":0.44882} scoresByTaskType {"Retrieval":0.25262999999999997} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/146` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.34source score | 12 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.33924875 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.33924875 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 168 scoresByTask {"AILACasedocs":0.16797,"AILAStatutes":0.20714,"GerDaLIRSmall":0.01351,"LeCaRDv2":0.18773,"LegalBenchConsumerContractsQA":0.60205,"LegalBenchCorporateLobbying":0.88691,"LegalQuAD":0.07442,"LegalSummarization":0.57426} scoresByTaskType {"Retrieval":0.33924875} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/167` | | | | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.33source score | 7 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.33242872971505427 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.30211173228075855 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 110 scoresByTask {"CMedQAv2-reranking":0.20061498053824298,"CUREv1":0.1823127272727273,"CmedqaRetrieval":0.02584,"MedicalQARetrieval":0.62038,"MedrxivClusteringP2P.v2":0.37820451385464854,"MedrxivClusteringS2S.v2":0.35406753491503284,"NFCorpus":0.3225,"PublicHealthQA":0.380675,"SciFact":0.62639,"SciFact-PL":0.22476,"TRECCOVID":0.50816,"TRECCOVID-PL":0.16524} scoresByTaskType {"Clustering":0.3661360243848407,"Reranking":0.20061498053824298,"Retrieval":0.3395841919191919} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/110` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.37source score | 9 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3713581052631579 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3597168055555556 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 113 scoresByTask {"AmazonCounterfactualClassification":0.5773915000000001,"AmazonReviewsClassification":0.26251,"BlurbsClusteringP2P":0.174435,"BlurbsClusteringS2S":0.100872,"FalseFriendsGermanEnglish":0.480149,"GerDaLIR":0.00547,"GermanDPR":0.50251,"GermanQuAD-Retrieval":0.668981,"GermanSTSBenchmark":0.6656150000000001,"MIRACLReranking":0.23327,"MTOPDomainClassification":0.718011,"MTOPIntentClassification":0.432284,"MassiveIntentClassification":0.4374255,"MassiveScenarioClassification":0.516958,"PawsXPairClassification":0.48806099999999997,"STS22":0.225291,"TenKGnadClusteringP2P":0.304545,"TenKGnadClusteringS2S":0.158085,"XMarket":0.10394} scoresByTaskType {"Classification":0.4907633333333334,"Clustering":0.18448425000000002,"PairClassification":0.484105,"Reranking":0.23327,"Retrieval":0.32022525,"STS":0.44545300000000004} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/112` | | | | | [VN-MTEB (vie, v1) · Vietnamese](https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1).md) | 0.31source score | 3 / 4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.30832750000000003 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.44323387222222227 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 32 scoresByTask {"AmazonCounterfactualVNClassification":0.573605,"AmazonPolarityVNClassification":0.553953,"AmazonReviewsVNClassification":0.272167,"ArguAna-VN":0.09892,"AskUbuntuDupQuestions-VN":0.536352,"BIOSSES-VN":0.64143,"Banking77VNClassification":0.508032,"CQADupstackAndroid-VN":0.2084,"CQADupstackGis-VN":0.13805,"CQADupstackMathematica-VN":0.0972,"CQADupstackPhysics-VN":0.1454,"CQADupstackProgrammers-VN":0.14721,"CQADupstackStats-VN":0.14797,"CQADupstackTex-VN":0.10528,"CQADupstackUnix-VN":0.16437,"CQADupstackWebmasters-VN":0.16515,"CQADupstackWordpress-VN":0.13225,"ClimateFEVER-VN":0.01629,"DBPedia-VN":0.14813,"EmotionVNClassification":0.19627,"FEVER-VN":0.29398,"FiQA2018-VN":0.04313,"HotpotQA-VN":0.17162,"ImdbVNClassification":0.515321,"MSMARCO-VN":0.09409,"MTOPDomainVNClassification":0.588962,"MTOPIntentVNClassification":0.304296,"MassiveIntentVNClassification":0.423935,"MassiveScenarioVNClassification":0.478412,"NFCorpus-VN":0.17321,"NQ-VN":0.1079,"Quora-VN":0.26548,"RedditClustering-VN":0.179731,"RedditClusteringP2P-VN":0.31448,"SCIDOCS-VN":0.05391,"SICK-R-VN":0.619246,"STSBenchmark-VN":0.609376,"SciDocsRR-VN":0.64152,"SciFact-VN":0.26751,"SprintDuplicateQuestions-VN":0.77955,"StackExchangeClustering-VN":0.219062,"StackExchangeClusteringP2P-VN":0.294867,"StackOverflowDupQuestions-VN":0.392032,"TRECCOVID-VN":0.18113,"Touche2020-VN":0.02684,"ToxicConversationsVNClassification":0.517041,"TweetSentimentExtractionVNClassification":0.376998,"TwentyNewsgroupsClustering-VN":0.209807,"TwitterSemEval2015-VN":0.501988,"TwitterURLCorpus-VN":0.774522} scoresByTaskType {"Classification":0.442416,"Clustering":0.24358939999999998,"PairClassification":0.6853533333333334,"Reranking":0.5233013333333334,"Retrieval":0.1413925,"STS":0.6233506666666667} trainedOnTasks ["MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/31` | | | | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.43source score | 12 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.43328666666666665 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 85 scoresByTask {"EnglishFinance1Retrieval":0.60086,"EnglishFinance2Retrieval":0.2782,"EnglishFinance3Retrieval":0.61047,"EnglishFinance4Retrieval":0.42822,"FinQARetrieval":0.26899,"FinanceBenchRetrieval":0.57777,"HC3FinanceRetrieval":0.4531} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fin%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/84` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.69source score | 10 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6901196697530865 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.49693888215686266 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 36 scoresByTask {"ChemHotpotQARetrieval":0.7119633333333333,"ChemNQRetrieval":0.56998,"PubChemAISentenceParaphrasePC":0.939622,"PubChemSMILESBitextMining":0.001264,"PubChemSMILESPC":0.110471,"PubChemSynonymPC":0.594779,"PubChemWikiPairClassification":0.82651875,"PubChemWikiParagraphsPC":0.246654,"SDSEyeProtectionClassification":0.6641,"SDSGlovesClassification":0.5728,"WikipediaBioMetChemClassification":0.989817,"WikipediaBiolumNeurochemClassification":0.95,"WikipediaChemEngSpecialtiesClassification":0.529839,"WikipediaChemFieldsClassification":0.512165,"WikipediaChemistryTopicsClassification":0.844656,"WikipediaChemistryTopicsClustering":0.708602,"WikipediaCompChemSpectroscopyClassification":0.744344,"WikipediaCryobiologySeparationClassification":0.924464,"WikipediaCrystallographyAnalyticalClassification":0.950859,"WikipediaGreenhouseEnantiopureClassification":0.977193,"WikipediaIsotopesFissionClassification":0.904762,"WikipediaLuminescenceClassification":0.908537,"WikipediaOrganicInorganicClassification":0.858935,"WikipediaSaltsSemiconductorsClassification":0.878788,"WikipediaSolidStateColloidalClassification":0.782432,"WikipediaSpecialtiesInChemistryClustering":0.284527,"WikipediaTheoreticalAppliedClassification":0.645159} scoresByTaskType {"BitextMining":0.001264,"Classification":0.802285294117647,"Clustering":0.49656449999999996,"PairClassification":0.54360895,"Retrieval":0.6409716666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/35` | | | | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.36source score | 12 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.35762636363636363 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 81 scoresByTask {"CUREv1":0.1823127272727273,"ChatDoctorRetrieval":0.53294,"EnglishHealthcare1Retrieval":0.38081,"GermanHealthcare1Retrieval":0.31249} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Health%2C%20beta)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/80` | | | | --- Cite as: all-MiniLM-L12-v2 — Benchize, https://benchize.com/models/all-minilm-l12-v2 (retrieved 2026-10-21)