---
model-index:
- name: no_model_name_available
  results:
  - dataset:
      config: en
      name: MTEB MassiveScenarioClassification
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
      split: test
      type: mteb/amazon_massive_scenario
    metrics:
      - type: accuracy
        value: 0.7591123066577001
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB ImdbClassification
      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
      split: test
      type: mteb/imdb
    metrics:
      - type: accuracy
        value: 0.737088
    task:
      type: Classification
  - dataset:
      config: default
      name: MTEB SCIDOCS
      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
      split: test
      type: mteb/scidocs
    metrics:
      - type: ndcg_at_10
        value: 0.14645
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB BIOSSES
      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
      split: test
      type: mteb/twentynewsgroups-clustering
    metrics:
      - type: v_measure
        value: 0.4597050473156563
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB FEVER
      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
      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:
      - type: ndcg_at_10
        value: 0.15801
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB StackExchangeClusteringP2P
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
      split: test
      type: mteb/stackexchange-clustering-p2p
    metrics:
      - type: v_measure
        value: 0.30348330076332997
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB BiorxivClusteringS2S
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
      split: test
      type: mteb/biorxiv-clustering-s2s
    metrics:
      - type: v_measure
        value: 0.3066700709222508
    task:
      type: Clustering
  - dataset:
      config: default
      name: MTEB CQADupstackTexRetrieval
      revision: 46989137a86843e03a6195de44b09deda022eec7
      split: test
      type: mteb/cqadupstack-tex
    metrics:
      - type: ndcg_at_10
        value: 0.14452
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB CQADupstackAndroidRetrieval
      revision: f46a197baaae43b4f621051089b82a364682dfeb
      split: test
      type: mteb/cqadupstack-android
    metrics:
      - type: ndcg_at_10
        value: 0.34255
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB TRECCOVID
      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
      split: test
      type: mteb/trec-covid
    metrics:
      - type: ndcg_at_10
        value: 0.37473
    task:
      type: Retrieval
  - dataset:
      config: default
      name: MTEB NQ
      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
      split: test
      type: mteb/nq
    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
---


# Model Card for Model ID

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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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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

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## Training Details

### Training Data

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### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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## Evaluation

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### Testing Data, Factors & metricss

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#### Factors

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#### metricss

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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## Glossary [optional]

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## Model Card Authors [optional]

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## Model Card Contact

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