Update README.md

README.md

@@ -7,1760 +7,8 @@ tags:
 - sentence-similarity
 - transformers
 - sentence-embedding
-- mteb
-model-index:
-- name: bilingual-embedding-base
-  results:
-  - task:
-      type: Clustering
-    dataset:
-      type: lyon-nlp/alloprof
-      name: MTEB AlloProfClusteringP2P
-      config: default
-      split: test
-      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
-    metrics:
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-      value: 56.88600728743999
-    - type: v_measures
-      value: [0.5396081553520281, 0.6022872403200437, 0.5515205944691852, 0.5595772885785736, 0.5632413941951575]
-  - task:
-      type: Clustering
-    dataset:
-      type: lyon-nlp/alloprof
-      name: MTEB AlloProfClusteringS2S
-      config: default
-      split: test
-      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
-    metrics:
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-      value: 38.199527329051804
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-      value: [0.42157254138936706, 0.36882298663461527, 0.3134327610337458, 0.40391031391690396, 0.3832775043562133]
-  - task:
-      type: Reranking
-    dataset:
-      type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
-      name: MTEB AlloprofReranking
-      config: default
-      split: test
-      revision: 65393d0d7a08a10b4e348135e824f385d420b0fd
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-  - task:
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-    dataset:
-      type: lyon-nlp/alloprof
-      name: MTEB AlloprofRetrieval
-      config: default
-      split: test
-      revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
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-  - task:
-      type: Classification
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-      name: MTEB AmazonReviewsClassification
-      config: default
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-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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-  - task:
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-      type: maastrichtlawtech/bsard
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-      config: default
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-      revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
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-  - task:
-      type: Clustering
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-      type: lyon-nlp/clustering-hal-s2s
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-  - task:
-      type: Classification
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-      name: MTEB MTOPDomainClassification
-      config: default
-      split: test
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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-  - task:
-      type: Classification
-    dataset:
-      type: mteb/mtop_intent
-      name: MTEB MTOPIntentClassification
-      config: default
-      split: test
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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-    - type: f1_weighted
-      value: 61.793813202867696
-  - task:
-      type: Classification
-    dataset:
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-      name: MTEB MasakhaNEWSClassification
-      config: default
-      split: test
-      revision: 18193f187b92da67168c655c9973a165ed9593dd
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-      value: 72.60663507109004
-    - type: f1
-      value: 68.67522100429781
-    - type: f1_weighted
-      value: 72.75616093668002
-  - task:
-      type: Clustering
-    dataset:
-      type: masakhane/masakhanews
-      name: MTEB MasakhaNEWSClusteringP2P
-      config: default
-      split: test
-      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
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-    - type: v_measures
-      value: [1.0, 0.033833191750480725, 0.5707463198244268, 0.1318223737892885, 0.7224436183265853]
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-      type: masakhane/masakhanews
-      name: MTEB MasakhaNEWSClusteringS2S
-      config: default
-      split: test
-      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
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-    - type: v_measures
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-      name: MTEB MassiveIntentClassification
-      config: default
-      split: test
-      revision: 4672e20407010da34463acc759c162ca9734bca6
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-  - task:
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-      split: test
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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-  - task:
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-      name: MTEB MintakaRetrieval
-      config: default
-      split: test
-      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
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-    - type: precision_at_1
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-    - type: recall_at_1
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-    - type: recall_at_10
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-    - type: recall_at_100
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-    - type: recall_at_1000
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-    - type: recall_at_20
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-    - type: recall_at_3
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-    - type: recall_at_5
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-  - task:
-      type: PairClassification
-    dataset:
-      type: GEM/opusparcus
-      name: MTEB OpusparcusPC
-      config: default
-      split: test
-      revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
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-      value: 81.74386920980926
-    - type: cos_sim_ap
-      value: 93.18281680904117
-    - type: cos_sim_f1
-      value: 87.37233054781802
-    - type: cos_sim_precision
-      value: 82.04010462074979
-    - type: cos_sim_recall
-      value: 93.44587884806356
-    - type: dot_accuracy
-      value: 81.74386920980926
-    - type: dot_ap
-      value: 93.18281680904117
-    - type: dot_f1
-      value: 87.37233054781802
-    - type: dot_precision
-      value: 82.04010462074979
-    - type: dot_recall
-      value: 93.44587884806356
-    - type: euclidean_accuracy
-      value: 81.74386920980926
-    - type: euclidean_ap
-      value: 93.18281680904117
-    - type: euclidean_f1
-      value: 87.37233054781802
-    - type: euclidean_precision
-      value: 82.04010462074979
-    - type: euclidean_recall
-      value: 93.44587884806356
-    - type: manhattan_accuracy
-      value: 81.74386920980926
-    - type: manhattan_ap
-      value: 93.17517480971131
-    - type: manhattan_f1
-      value: 87.37864077669903
-    - type: manhattan_precision
-      value: 81.74740484429066
-    - type: manhattan_recall
-      value: 93.84309831181727
-    - type: max_accuracy
-      value: 81.74386920980926
-    - type: max_ap
-      value: 93.18281680904117
-    - type: max_f1
-      value: 87.37864077669903
-  - task:
-      type: PairClassification
-    dataset:
-      type: google-research-datasets/paws-x
-      name: MTEB PawsX
-      config: default
-      split: test
-      revision: 8a04d940a42cd40658986fdd8e3da561533a3646
-    metrics:
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-      value: 61.1
-    - type: cos_sim_ap
-      value: 60.75603519868964
-    - type: cos_sim_f1
-      value: 62.78646780647509
-    - type: cos_sim_precision
-      value: 46.74972914409534
-    - type: cos_sim_recall
-      value: 95.5703211517165
-    - type: dot_accuracy
-      value: 61.1
-    - type: dot_ap
-      value: 60.74807680023078
-    - type: dot_f1
-      value: 62.78646780647509
-    - type: dot_precision
-      value: 46.74972914409534
-    - type: dot_recall
-      value: 95.5703211517165
-    - type: euclidean_accuracy
-      value: 61.1
-    - type: euclidean_ap
-      value: 60.756144387817734
-    - type: euclidean_f1
-      value: 62.78646780647509
-    - type: euclidean_precision
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-    - type: euclidean_recall
-      value: 95.5703211517165
-    - type: manhattan_accuracy
-      value: 61.150000000000006
-    - type: manhattan_ap
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-    - type: manhattan_f1
-      value: 62.7721335268505
-    - type: manhattan_precision
-      value: 46.6810577441986
-    - type: manhattan_recall
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-    - type: max_accuracy
-      value: 61.150000000000006
-    - type: max_ap
-      value: 60.756144387817734
-    - type: max_f1
-      value: 62.78646780647509
-  - task:
-      type: STS
-    dataset:
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-      name: MTEB SICKFr
-      config: default
-      split: test
-      revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
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-      value: 83.1543597030015
-    - type: cos_sim_spearman
-      value: 77.10092303546944
-    - type: euclidean_pearson
-      value: 80.27115846915481
-    - type: euclidean_spearman
-      value: 77.10092516058822
-    - type: manhattan_pearson
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-    - type: manhattan_spearman
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-  - task:
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-      name: MTEB STS22
-      config: default
-      split: test
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-    metrics:
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-      value: 79.20797144286122
-    - type: cos_sim_spearman
-      value: 80.31452099282514
-    - type: euclidean_pearson
-      value: 78.43621396282957
-    - type: euclidean_spearman
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-    - type: manhattan_pearson
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-    - type: manhattan_spearman
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-  - task:
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-      name: MTEB STSBenchmarkMultilingualSTS
-      config: default
-      split: test
-      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
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-      value: 84.35617480959016
-    - type: euclidean_pearson
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-    - type: euclidean_spearman
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-    - type: manhattan_pearson
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-  - task:
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-      name: MTEB SummEvalFr
-      config: default
-      split: test
-      revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
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-  - task:
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-      name: MTEB SyntecReranking
-      config: default
-      split: test
-      revision: daf0863838cd9e3ba50544cdce3ac2b338a1b0ad
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-      name: MTEB SyntecRetrieval
-      config: default
-      split: test
-      revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
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-      name: MTEB MassiveIntentClassification (fr)
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-      name: MTEB AmazonReviewsClassification (fr)
-      config: default
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-      config: default
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-      name: MTEB MassiveScenarioClassification (fr)
-      config: default
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-  - task:
-      type: Classification
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-      name: MTEB MasakhaNEWSClassification (fra)
-      config: default
-      split: test
-      revision: 1.0
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-      config: default
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-  - task:
-      type: Classification
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-      name: MTEB MasakhaNEWSClusteringP2P (fra)
-      config: default
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-      revision: 1.0
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-      value: 0.0
 license: apache-2.0
-language:
-- fr
-
+---
 
 # [bilingual-embedding-base](https://huggingface.co/Lajavaness/bilingual-embedding-base)