# all-MiniLM-L6-v2 > Source: Benchize (https://benchize.com) — https://benchize.com/models/all-minilm-l6-v2. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/all-minilm-l6-v2. Sentence Transformers Canonical URL: https://benchize.com/models/all-minilm-l6-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 | | | --- | --- | --- | --- | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.44source score | 11 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4380833333333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 86 scoresByTask {"EnglishFinance1Retrieval":0.60025,"EnglishFinance2Retrieval":0.36262,"EnglishFinance3Retrieval":0.60465,"EnglishFinance4Retrieval":0.40967,"FinQARetrieval":0.36045,"FinanceBenchRetrieval":0.54956,"HC3FinanceRetrieval":0.40424} 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-L6-v2 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/85` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.12source score | 14 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.11811 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 178 scoresByTask {"German1Retrieval":0.45009,"GermanHealthcare1Retrieval":0.2513,"GermanLegal1Retrieval":0.37473,"LegalQuAD":0.11811} 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-L6-v2 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/178` | | | | | [MTEB(Scandinavian, v1) · Scandinavian](https://benchize.com/benchmarks/mteb%3AMTEB(Scandinavian%2C%20v1).md) | 0.39source score | 4 / 4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.38904197565908066 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.39997501406409575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 142 scoresByTask {"AngryTweetsClassification":0.4248328557784145,"BornholmBitextMining":0.2968132161955691,"DKHateClassification":0.5504559270516718,"DalajClassification":0.49898648648648647,"DanFeverRetrieval":0.28514,"DanishPoliticalCommentsClassification":0.26699972245351095,"LccSentimentClassification":0.38533333333333325,"MassiveIntentClassification":0.3905029355909934,"MassiveScenarioClassification":0.44270366666666666,"NoRecClassification":0.379296875,"NorQuadRetrieval":0.04283,"NordicLangClassification":0.5469666666666667,"NorwegianCourtsBitextMining":0.8654970760233919,"NorwegianParliamentClassification":0.5433749999999999,"SNLHierarchicalClusteringP2P":0.471688034015269,"SNLHierarchicalClusteringS2S":0.46586432500299657,"SNLRetrieval":0.49668,"ScalaClassification":0.50294189453125,"SweFaqRetrieval":0.41075,"SweRecClassification":0.545556640625,"SwedishSentimentClassification":0.7309326171875,"SwednClusteringP2P":0.1642169644991563,"SwednClusteringS2S":0.018842562933840852,"SwednRetrieval":0.25144,"TV2Nordretrieval":0.3411,"TwitterHjerneRetrieval":0.09811,"VGHierarchicalClusteringP2P":0.27862261843015623,"VGHierarchicalClusteringS2S":0.19669589998238293} scoresByTaskType {"BitextMining":0.5811551461094805,"Classification":0.4776065093362688,"Clustering":0.26598840081063363,"Retrieval":0.27515} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Scandinavian%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:37.645Z Evidence SHA-256 `e66dff65f750060ac5843730eed4679628b45a6418b618e16473d9cc9d24aa94` Source locator `/rows/141` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.35source score | 11 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.35371874999999997 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.35371874999999997 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 158 scoresByTask {"AILACasedocs":0.19717,"AILAStatutes":0.20516,"GerDaLIRSmall":0.0241,"LeCaRDv2":0.17505,"LegalBenchConsumerContractsQA":0.656,"LegalBenchCorporateLobbying":0.86413,"LegalQuAD":0.11811,"LegalSummarization":0.59003} scoresByTaskType {"Retrieval":0.35371874999999997} 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-L6-v2 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/158` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.1source score | 16 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.10204909090909092 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 166 scoresByTask {"CUREv1":0.10204909090909092,"French1Retrieval":0.64307,"FrenchLegal1Retrieval":0.1652} 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-L6-v2 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/166` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.45source score | 7 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.45244487652103443 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4795393290890028 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 111 scoresByTask {"AlloProfClusteringP2P":0.518308,"AlloProfClusteringS2S":0.320659,"AlloprofReranking":0.6262172640988071,"AlloprofRetrieval":0.28413,"AmazonReviewsClassification":0.26937,"BSARDRetrieval":0.27477,"HALClusteringS2S":0.188409,"MLSUMClusteringP2P":0.35714900000000005,"MLSUMClusteringS2S":0.34793399999999997,"MTOPDomainClassification":0.7533626387462586,"MTOPIntentClassification":0.40396769963464385,"MasakhaNEWSClassification":0.688388625592417,"MasakhaNEWSClusteringP2P":0.3492044210457986,"MasakhaNEWSClusteringS2S":0.4057681708831091,"MassiveIntentClassification":0.42246626857258723,"MassiveScenarioClassification":0.5086675,"MintakaRetrieval":0.09195,"PawsXPairClassification":0.5557581725988825,"SICKFr":0.6263990638546257,"STS22":0.7700398643056744,"STSBenchmarkMultilingualSTS":0.685019765897922,"SummEvalFr":0.2828840927157683,"SyntecReranking":0.673079365079365,"SyntecRetrieval":0.60148,"XPQARetrieval":0.30574} scoresByTaskType {"Classification":0.5077037887576511,"Clustering":0.35534737027555824,"PairClassification":0.5557581725988825,"Reranking":0.6496483145890861,"Retrieval":0.31161399999999995,"STS":0.693819564686074,"Summarization":0.2828840927157683} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/110` | | | | | [MTEB(tha, v1) · Thai](https://benchize.com/benchmarks/mteb%3AMTEB(tha%2C%20v1).md) | 0.11source score | 3 / 3 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.11387216435330062 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.16260202085734005 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 34 scoresByTask {"BelebeleRetrieval":0.12536333333333333,"MIRACLReranking":0.03623,"MIRACLRetrievalHardNegatives.v2":0.00462,"MKQARetrieval":0.00428,"MTOPDomainClassification":0.16207050817963709,"MTOPIntentClassification":0.048235564025396534,"MrTidyRetrieval":0.00274,"MultiLongDocReranking":0.05279,"MultiLongDocRetrieval":0.016710000000000003,"SIB200Classification":0.18843726628823546,"SIB200ClusteringS2S":0.035902618739313365,"WebFAQRetrieval":0.19424,"WisesightSentimentClassification.v2":0.221736,"XNLI":0.5132771747335934,"XQuADRetrieval":0.10145} scoresByTaskType {"Classification":0.15511983462331727,"Clustering":0.035902618739313365,"PairClassification":0.5132771747335934,"Reranking":0.044509999999999994,"Retrieval":0.06420047619047618} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(tha%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:36.633Z Evidence SHA-256 `d535310e5a7c0161f952cd0de3eb7d757500e970721ae4cda0f047c1ea5baa9a` Source locator `/rows/33` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.3source score | 12 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.29811499999999996 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.29811499999999996 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 138 scoresByTask {"LEMBNarrativeQARetrieval":0.18268,"LEMBNeedleRetrieval":0.19999999999999998,"LEMBPasskeyRetrieval":0.23249999999999998,"LEMBQMSumRetrieval":0.16322,"LEMBSummScreenFDRetrieval":0.54801,"LEMBWikimQARetrieval":0.46228} scoresByTaskType {"Retrieval":0.29811499999999996} 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-L6-v2 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/138` | | | | | [MTEB(Europe, v1) · European](https://benchize.com/benchmarks/mteb%3AMTEB(Europe%2C%20v1).md) | 0.43source score | 5 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4344802100775495 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3804528917033687 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 147 scoresByTask {"AlloProfClusteringS2S.v2":0.31106653686581687,"AlloprofReranking":0.6262172640988071,"AlloprofRetrieval":0.28413,"AmazonCounterfactualClassification":0.6166063807014944,"ArguAna":0.50167,"BUCC.v2":0.20293394646670965,"BelebeleRetrieval":0.3448486301369863,"BibleNLPBitextMining":0.04975517151766913,"BigPatentClustering.v2":0.33036873395618593,"BiorxivClusteringP2P.v2":0.40988693072325083,"BornholmBitextMining":0.2968132161955691,"BulgarianStoreReviewSentimentClassfication":0.28186813186813187,"CBD":0.509,"CSFDSKMovieReviewSentimentClassification":0.202294921875,"CTKFactsNLI":0.6998808878706495,"Core17InstructionRetrieval":-0.003451558105842423,"CzechProductReviewSentimentClassification":0.42509765625,"DBpediaClassification":0.85439453125,"DalajClassification":0.49898648648648647,"DiaBlaBitextMining":0.03494176680364238,"EstonianValenceClassification":0.2885085574572127,"FinParaSTS":0.1037258929878844,"FinancialPhrasebankClassification":0.7449204946996466,"FloresBitextMining":0.1968256452991453,"GreekLegalCodeClassification":0.0330078125,"HALClusteringS2S.v2":0.19518159678221486,"HagridRetrieval":0.98836,"ItaCaseholdClassification":0.5117647058823529,"LEMBPasskeyRetrieval":0.23249999999999998,"LegalBenchCorporateLobbying":0.86413,"LegalQuAD":0.11811,"MalteseNewsClassification":0.15302568567696995,"MassiveScenarioClassification":0.4586778611111111,"MultiEURLEXMultilabelClassification":0.022488695652173915,"MultiHateClassification":0.5443,"NTREXBitextMining":0.26035702462938787,"News21InstructionRetrieval":-0.0024698946482787643,"NorwegianCourtsBitextMining":0.8654970760233919,"OpusparcusPC":0.885685679539813,"PSC":0.8187494037325438,"PoemSentimentClassification":0.45748626373626367,"PolEmo2.0-OUT":0.25,"RTE3":0.85500108394591,"Robust04InstructionRetrieval":-0.07926624489556626,"RomaniBibleClustering":0.38156633920088634,"SCIDOCS":0.21641,"SIB200ClusteringS2S":0.10126095282809568,"SICK-R":0.7758245525469719,"SICK-R-PL":0.5242916050484505,"STS12":0.7236899998079941,"STS14":0.7558912408385123,"STS15":0.8538961998125277,"STS17":0.4376767871329405,"STSBenchmark":0.8203247283076371,"STSES":0.6432562715409338,"ScalaClassification":0.50294189453125,"SpartQA":0.0165,"SprintDuplicateQuestions":0.9455063045792448,"StackOverflowQA":0.83958,"StatcanDialogueDatasetRetrieval":0.104745,"SwissJudgementClassification":0.5452370780686193,"TempReasonL1":0.01526,"ToxicChatClassification":0.7867697594501718,"ToxicConversationsClassification":0.620947265625,"TweetSentimentClassification":0.41868489583333335,"TwitterHjerneRetrieval":0.09811,"WebLINXCandidatesReranking":0.08062409755652669,"WikiCitiesClustering":0.7563541374891306,"WikiClusteringP2P.v2":0.19874957435064547,"WikipediaRerankingMultilingual":0.7250328523328523,"WikipediaRetrievalMultilingual":0.5041354545454545,"WinoGrande":0.47349,"XNLI":0.6064213691611986} scoresByTaskType {"BitextMining":0.27244626384793075,"Classification":0.4775747348663037,"Clustering":0.33555435027452835,"InstructionReranking":-0.028395899216562482,"MultilabelClassification":0.08775719066457194,"PairClassification":0.80187412147156,"Reranking":0.4772914046627286,"Retrieval":0.3734652723121627,"STS":0.6265085864470947} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Europe%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:33.579Z Evidence SHA-256 `7984c254f09d846a5f5a5da2de12c531bacebd43e5fa1a03abc745b501549414` Source locator `/rows/146` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.03source score | 11 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.028395899216562482 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.028395899216562482 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 159 scoresByTask {"Core17InstructionRetrieval":-0.003451558105842423,"News21InstructionRetrieval":-0.0024698946482787643,"Robust04InstructionRetrieval":-0.07926624489556626} scoresByTaskType {"InstructionReranking":-0.028395899216562482} 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-L6-v2 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/158` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.42source score | 15 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.41949986666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.41949986666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 86 ### Reported statistics experiments Not reported rank 162 scoresByTask {"ArguAna":0.50167,"CQADupstackRetrieval":0.413248,"ClimateFEVER":0.20272,"DBPedia":0.3233,"FEVER":0.51934,"FiQA2018":0.36867,"HotpotQA":0.46513,"MSMARCO":0.36542,"NFCorpus":0.31594,"NQ":0.43869,"QuoraRetrieval":0.87552,"SCIDOCS":0.21641,"SciFact":0.64508,"TRECCOVID":0.47232,"Touche2020":0.16904} scoresByTaskType {"Retrieval":0.41949986666666667} 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-L6-v2 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/161` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.28source score | 15 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2776175 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 174 scoresByTask {"AILACasedocs":0.19717,"AILAStatutes":0.20516,"FrenchLegal1Retrieval":0.1652,"GermanLegal1Retrieval":0.37473,"JapaneseLegal1Retrieval":0.03486,"LegalQuAD":0.11811,"LegalSummarization":0.59003} 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-L6-v2 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/174` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.24source score | 8 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.23662332737308422 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.23964686297992457 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 133 scoresByTask {"CEDRClassification":0.3271519659936238,"GeoreviewClassification":0.270751953125,"GeoreviewClusteringP2P":0.2024938042780367,"HeadlineClassification":0.277734375,"InappropriatenessClassification":0.517333984375,"KinopoiskClassification":0.3393333333333334,"MIRACLReranking":0.04672,"MIRACLRetrievalHardNegatives.v2":0.01185,"MassiveIntentClassification":0.2736058630445663,"MassiveScenarioClassification":0.302074,"RUParaPhraserSTS":0.43932891844400296,"RiaNewsRetrievalHardNegatives.v2":0.00738,"RuBQReranking":0.27049018085869947,"RuBQRetrieval":0.02642,"RuReviewsClassification":0.417919921875,"RuSTSBenchmarkSTS":0.5556356112936773,"RuSciBenchGRNTIClassification":0.100830078125,"RuSciBenchGRNTIClusteringP2P":0.10214186324385237,"RuSciBenchOECDClassification":0.082958984375,"RuSciBenchOECDClusteringP2P":0.09442013836007132,"STS22":0.14721380413194854,"SensitiveTopicsClassification":0.17822265625,"TERRa":0.45032509347412525} scoresByTaskType {"Classification":0.2869491659169888,"Clustering":0.13301860196065346,"MultilabelClassification":0.25268731112181186,"PairClassification":0.45032509347412525,"Reranking":0.15860509042934973,"Retrieval":0.015216666666666665,"STS":0.38072611128987627} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(rus%2C%20v1.1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/132` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.7source score | 7 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6960103950617283 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4950644019607844 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 32 scoresByTask {"ChemHotpotQARetrieval":0.7254333333333333,"ChemNQRetrieval":0.54939,"PubChemAISentenceParaphrasePC":0.933402,"PubChemSMILESBitextMining":0.001496,"PubChemSMILESPC":0.104968,"PubChemSynonymPC":0.609142,"PubChemWikiPairClassification":0.7511763333333333,"PubChemWikiParagraphsPC":0.287745,"SDSEyeProtectionClassification":0.7382,"SDSGlovesClassification":0.6192,"WikipediaBioMetChemClassification":0.991036,"WikipediaBiolumNeurochemClassification":0.954082,"WikipediaChemEngSpecialtiesClassification":0.572581,"WikipediaChemFieldsClassification":0.517984,"WikipediaChemistryTopicsClassification":0.861283,"WikipediaChemistryTopicsClustering":0.694442,"WikipediaCompChemSpectroscopyClassification":0.771493,"WikipediaCryobiologySeparationClassification":0.920601,"WikipediaCrystallographyAnalyticalClassification":0.946392,"WikipediaGreenhouseEnantiopureClassification":0.974561,"WikipediaIsotopesFissionClassification":0.897619,"WikipediaLuminescenceClassification":0.904878,"WikipediaOrganicInorganicClassification":0.862738,"WikipediaSaltsSemiconductorsClassification":0.877778,"WikipediaSolidStateColloidalClassification":0.802027,"WikipediaSpecialtiesInChemistryClustering":0.272977,"WikipediaTheoreticalAppliedClassification":0.649656} scoresByTaskType {"BitextMining":0.001496,"Classification":0.8154181764705882,"Clustering":0.4837095,"PairClassification":0.5372866666666667,"Retrieval":0.6374116666666667} 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-L6-v2 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/31` | | | | | [VN-MTEB (vie, v1) · Vietnamese](https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1).md) | 0.28source score | 4 / 4 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2753259 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4124879458333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 33 scoresByTask {"AmazonCounterfactualVNClassification":0.561159,"AmazonPolarityVNClassification":0.561859,"AmazonReviewsVNClassification":0.269889,"ArguAna-VN":0.07672,"AskUbuntuDupQuestions-VN":0.535151,"BIOSSES-VN":0.56088,"Banking77VNClassification":0.489361,"CQADupstackAndroid-VN":0.17253,"CQADupstackGis-VN":0.09188,"CQADupstackMathematica-VN":0.0662,"CQADupstackPhysics-VN":0.10188,"CQADupstackProgrammers-VN":0.07772,"CQADupstackStats-VN":0.07475,"CQADupstackTex-VN":0.06068,"CQADupstackUnix-VN":0.11777,"CQADupstackWebmasters-VN":0.09565,"CQADupstackWordpress-VN":0.0854,"ClimateFEVER-VN":0.00398,"DBPedia-VN":0.10896,"EmotionVNClassification":0.1934335,"FEVER-VN":0.12351,"FiQA2018-VN":0.01445,"HotpotQA-VN":0.13313,"ImdbVNClassification":0.542353,"MSMARCO-VN":0.08163,"MTOPDomainVNClassification":0.564149,"MTOPIntentVNClassification":0.29933,"MassiveIntentVNClassification":0.414742,"MassiveScenarioVNClassification":0.459004,"NFCorpus-VN":0.14054,"NQ-VN":0.07442,"Quora-VN":0.20432,"RedditClustering-VN":0.132346,"RedditClusteringP2P-VN":0.276082,"SCIDOCS-VN":0.03607,"SICK-R-VN":0.620528,"STSBenchmark-VN":0.566218,"SciDocsRR-VN":0.619292,"SciFact-VN":0.20931,"SprintDuplicateQuestions-VN":0.6479735,"StackExchangeClustering-VN":0.166246,"StackExchangeClusteringP2P-VN":0.248947,"StackOverflowDupQuestions-VN":0.379503,"TRECCOVID-VN":0.11748,"Touche2020-VN":0.02655,"ToxicConversationsVNClassification":0.502295,"TweetSentimentExtractionVNClassification":0.375545,"TwentyNewsgroupsClustering-VN":0.196588,"TwitterSemEval2015-VN":0.52326,"TwitterURLCorpus-VN":0.764631} scoresByTaskType {"Classification":0.43609329166666666,"Clustering":0.2040418,"PairClassification":0.6452881666666667,"Reranking":0.5113153333333333,"Retrieval":0.09564708333333333,"STS":0.582542} 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-L6-v2 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/32` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.32source score | 5 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3179841159670872 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.20351591925763154 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 147 scoresByTask {"BelebeleRetrieval":0.07661653846153846,"BengaliSentimentAnalysis":0.585416307901689,"GujaratiNewsClassification":0.4257966616084977,"HindiDiscourseClassification":0.320361328125,"IN22ConvBitextMining":0.014159649173088044,"IN22GenBitextMining":0.03573555991037402,"IndicCrosslingualSTS":-0.06275768107301821,"MTOPIntentClassification":0.18495050671232555,"MalayalamNewsClassification":0.41420634920634913,"MultiHateClassification":0.5497,"NepaliNewsClassification":0.47138671875,"PunjabiNewsClassification":0.5993630573248407,"SIB200ClusteringS2S":0.031032784763756097,"SanskritShlokasClassification":0.6302083333333333,"SentimentAnalysisHindi":0.37939144205770264,"TweetSentimentClassification":0.338671875,"UrduRomanSentimentClassification":0.3892201589975233,"WikipediaRerankingMultilingual":0.39181785714285716,"XNLI":0.5366748719458873,"XQuADRetrieval":0.04773} scoresByTaskType {"BitextMining":0.024947604541731033,"Classification":0.4407227282514385,"Clustering":0.031032784763756097,"PairClassification":0.5366748719458873,"Reranking":0.39181785714285716,"Retrieval":0.062173269230769226,"STS":-0.06275768107301821} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/146` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.34source score | 11 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.34175960749150625 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.43154884470482574 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 114 scoresByTask {"ArguAna-NL.v2":0.21081,"BelebeleRetrieval":0.50156,"CovidDisinformationNLMultiLabelClassification":0.456159,"DutchBookReviewSentimentClassification.v2":0.517004,"DutchColaClassification":0.545156,"DutchGovernmentBiasClassification":0.564105,"DutchNewsArticlesClassification":0.399263,"DutchNewsArticlesClusteringP2P":0.202258,"DutchNewsArticlesClusteringS2S":0.089755,"DutchNewsArticlesRetrieval":0.17279,"DutchSarcasticHeadlinesClassification":0.555141,"IconclassClassification":0.414431,"IconclassClusteringS2S":0.162631,"LegalQANLRetrieval":0.23461,"MassiveIntentClassification":0.39182607686025234,"MassiveScenarioClassification":0.47476050000000003,"MultiEURLEXMultilabelClassification":0.01556,"MultiHateClassification":0.5388999999999999,"NFCorpus-NL.v2":0.15918,"OpenTenderClassification":0.231197,"OpenTenderClusteringP2P":0.177625,"OpenTenderClusteringS2S":0.152995,"OpenTenderRetrieval":0.26123,"SCIDOCS-NL.v2":0.07307,"SIB200Classification":0.41064777025379523,"SIB200ClusteringS2S":0.12098264639404743,"SICK-NL-STS":0.526955,"SICKNLPairClassification":0.583661,"STSBenchmarkMultilingualSTS":0.6115654225542728,"SciFact-NL.v2":0.31358,"VABBClusteringP2P":0.262735,"VABBClusteringS2S":0.207908,"VABBMultiLabelClassification":0.339291,"VABBRetrieval":0.35479,"VaccinChatNLClassification":0.278012,"WebFAQRetrieval":0.30564,"WikipediaRerankingMultilingual":0.7312478835978836,"WikipediaRetrievalMultilingual":0.52973,"XLWICNLPairClassification":0.560722,"bBSARDNLRetrieval":0.0309} scoresByTaskType {"Classification":0.4433702789261706,"Clustering":0.17211120579925593,"MultilabelClassification":0.27033666666666667,"PairClassification":0.5721915,"Reranking":0.7312478835978836,"Retrieval":0.26232416666666664,"STS":0.5692602112771363} 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-L6-v2 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/113` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.37source score | 10 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3671895729327787 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3504189100070438 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 112 scoresByTask {"AmazonCounterfactualClassification":0.5789933922121845,"AmazonReviewsClassification":0.26589,"BlurbsClusteringP2P":0.199438,"BlurbsClusteringS2S":0.093845,"FalseFriendsGermanEnglish":0.47974416537089537,"GerDaLIR":0.01069,"GermanDPR":0.47834,"GermanQuAD-Retrieval":0.6371823956442826,"GermanSTSBenchmark":0.63928061999339,"MIRACLReranking":0.16265,"MTOPDomainClassification":0.7043227867703392,"MTOPIntentClassification":0.4548095261381975,"MassiveIntentClassification":0.42826644660347046,"MassiveScenarioClassification":0.507593,"PawsXPairClassification":0.4959920130423115,"STS22":0.31044353994772356,"TenKGnadClusteringP2P":0.302958,"TenKGnadClusteringS2S":0.133183,"XMarket":0.09298} scoresByTaskType {"Classification":0.48997919195403195,"Clustering":0.18235600000000002,"PairClassification":0.4878680892066034,"Reranking":0.16265,"Retrieval":0.3047980989110706,"STS":0.4748620799705568} 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-L6-v2 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/111` | | | | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.35source score | 13 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.34742954545454546 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 83 scoresByTask {"CUREv1":0.1653990909090909,"ChatDoctorRetrieval":0.52946,"EnglishHealthcare1Retrieval":0.41778,"GermanHealthcare1Retrieval":0.2513} 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-L6-v2 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/82` | | | | --- Cite as: all-MiniLM-L6-v2 — Benchize, https://benchize.com/models/all-minilm-l6-v2 (retrieved 2026-10-21)