Hugging Face's logo

w601sxs
/
b1ade-embed-kd_3

Feature Extraction
Transformers
Safetensors
bert
mteb
Eval Results
text-embeddings-inference
Inference Endpoints
Model card Files Community
b1ade-embed-kd_3 / README.md
w601sxs's picture
w601sxs
Update README.md
29ede2b verified
preview code
|
raw
history blame contribute delete
24.2 kB
metadata
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

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

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.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & metricss

Testing Data

[More Information Needed]

Factors

[More Information Needed]

metricss

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]