Update README.md

README.md

@@ -1,11 +1,687 @@
 ---
-pipeline_tag: sentence-similarity
 tags:
-- feature-extraction
-license: mit
-language:
-- fr
-- en
+- mteb
+model-index:
+- name: Solon-embeddings-large-0.1
+  results:
+  - task:
+      type: Clustering
+    dataset:
+      type: lyon-nlp/alloprof
+      name: MTEB AlloProfClusteringP2P
+      config: default
+      split: test
+      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
+    metrics:
+    - type: v_measure
+      value: 64.16942168287153
+  - task:
+      type: Clustering
+    dataset:
+      type: lyon-nlp/alloprof
+      name: MTEB AlloProfClusteringS2S
+      config: default
+      split: test
+      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
+    metrics:
+    - type: v_measure
+      value: 38.17076313383054
+  - task:
+      type: Reranking
+    dataset:
+      type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
+      name: MTEB AlloprofReranking
+      config: default
+      split: test
+      revision: 666fdacebe0291776e86f29345663dfaf80a0db9
+    metrics:
+    - type: map
+      value: 64.8770878097632
+    - type: mrr
+      value: 66.39132423169396
+  - task:
+      type: Retrieval
+    dataset:
+      type: lyon-nlp/alloprof
+      name: MTEB AlloprofRetrieval
+      config: default
+      split: test
+      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
+    metrics:
+    - type: map_at_1
+      value: 29.62
+    - type: map_at_10
+      value: 40.963
+    - type: map_at_100
+      value: 41.894
+    - type: map_at_1000
+      value: 41.939
+    - type: map_at_3
+      value: 37.708999999999996
+    - type: map_at_5
+      value: 39.696999999999996
+    - type: mrr_at_1
+      value: 29.62
+    - type: mrr_at_10
+      value: 40.963
+    - type: mrr_at_100
+      value: 41.894
+    - type: mrr_at_1000
+      value: 41.939
+    - type: mrr_at_3
+      value: 37.708999999999996
+    - type: mrr_at_5
+      value: 39.696999999999996
+    - type: ndcg_at_1
+      value: 29.62
+    - type: ndcg_at_10
+      value: 46.942
+    - type: ndcg_at_100
+      value: 51.629999999999995
+    - type: ndcg_at_1000
+      value: 52.927
+    - type: ndcg_at_3
+      value: 40.333999999999996
+    - type: ndcg_at_5
+      value: 43.922
+    - type: precision_at_1
+      value: 29.62
+    - type: precision_at_10
+      value: 6.589
+    - type: precision_at_100
+      value: 0.882
+    - type: precision_at_1000
+      value: 0.099
+    - type: precision_at_3
+      value: 15.976
+    - type: precision_at_5
+      value: 11.33
+    - type: recall_at_1
+      value: 29.62
+    - type: recall_at_10
+      value: 65.889
+    - type: recall_at_100
+      value: 88.212
+    - type: recall_at_1000
+      value: 98.575
+    - type: recall_at_3
+      value: 47.927
+    - type: recall_at_5
+      value: 56.64900000000001
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_reviews_multi
+      name: MTEB AmazonReviewsClassification (fr)
+      config: fr
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+    metrics:
+    - type: accuracy
+      value: 42.077999999999996
+    - type: f1
+      value: 40.64511241732637
+  - task:
+      type: Retrieval
+    dataset:
+      type: maastrichtlawtech/bsard
+      name: MTEB BSARDRetrieval
+      config: default
+      split: test
+      revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
+    metrics:
+    - type: map_at_1
+      value: 0.901
+    - type: map_at_10
+      value: 1.524
+    - type: map_at_100
+      value: 1.833
+    - type: map_at_1000
+      value: 1.916
+    - type: map_at_3
+      value: 1.276
+    - type: map_at_5
+      value: 1.276
+    - type: mrr_at_1
+      value: 0.901
+    - type: mrr_at_10
+      value: 1.524
+    - type: mrr_at_100
+      value: 1.833
+    - type: mrr_at_1000
+      value: 1.916
+    - type: mrr_at_3
+      value: 1.276
+    - type: mrr_at_5
+      value: 1.276
+    - type: ndcg_at_1
+      value: 0.901
+    - type: ndcg_at_10
+      value: 2.085
+    - type: ndcg_at_100
+      value: 3.805
+    - type: ndcg_at_1000
+      value: 6.704000000000001
+    - type: ndcg_at_3
+      value: 1.41
+    - type: ndcg_at_5
+      value: 1.41
+    - type: precision_at_1
+      value: 0.901
+    - type: precision_at_10
+      value: 0.40499999999999997
+    - type: precision_at_100
+      value: 0.126
+    - type: precision_at_1000
+      value: 0.037
+    - type: precision_at_3
+      value: 0.601
+    - type: precision_at_5
+      value: 0.36
+    - type: recall_at_1
+      value: 0.901
+    - type: recall_at_10
+      value: 4.054
+    - type: recall_at_100
+      value: 12.613
+    - type: recall_at_1000
+      value: 36.937
+    - type: recall_at_3
+      value: 1.802
+    - type: recall_at_5
+      value: 1.802
+  - task:
+      type: BitextMining
+    dataset:
+      type: rbawden/DiaBLa
+      name: MTEB DiaBLaBitextMining (fr-en)
+      config: fr-en
+      split: test
+      revision: 5345895c56a601afe1a98519ce3199be60a27dba
+    metrics:
+    - type: accuracy
+      value: 88.90048712595686
+    - type: f1
+      value: 86.94952864886115
+    - type: precision
+      value: 86.20344379175826
+    - type: recall
+      value: 88.90048712595686
+  - task:
+      type: Clustering
+    dataset:
+      type: lyon-nlp/clustering-hal-s2s
+      name: MTEB HALClusteringS2S
+      config: default
+      split: test
+      revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
+    metrics:
+    - type: v_measure
+      value: 24.087988843991155
+  - task:
+      type: Clustering
+    dataset:
+      type: mlsum
+      name: MTEB MLSUMClusteringP2P
+      config: default
+      split: test
+      revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
+    metrics:
+    - type: v_measure
+      value: 43.79603865728535
+  - task:
+      type: Clustering
+    dataset:
+      type: mlsum
+      name: MTEB MLSUMClusteringS2S
+      config: default
+      split: test
+      revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
+    metrics:
+    - type: v_measure
+      value: 37.746550373003
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_domain
+      name: MTEB MTOPDomainClassification (fr)
+      config: fr
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+    metrics:
+    - type: accuracy
+      value: 89.26088318196052
+    - type: f1
+      value: 88.95811185929033
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/mtop_intent
+      name: MTEB MTOPIntentClassification (fr)
+      config: fr
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+    metrics:
+    - type: accuracy
+      value: 68.55308487316003
+    - type: f1
+      value: 48.2936682439785
+  - task:
+      type: Classification
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClassification (fra)
+      config: fra
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: accuracy
+      value: 81.51658767772511
+    - type: f1
+      value: 77.695234448912
+  - task:
+      type: Clustering
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClusteringP2P (fra)
+      config: fra
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: v_measure
+      value: 40.80377094681114
+  - task:
+      type: Clustering
+    dataset:
+      type: masakhane/masakhanews
+      name: MTEB MasakhaNEWSClusteringS2S (fra)
+      config: fra
+      split: test
+      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
+    metrics:
+    - type: v_measure
+      value: 28.79703837416241
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_intent
+      name: MTEB MassiveIntentClassification (fr)
+      config: fr
+      split: test
+      revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
+    metrics:
+    - type: accuracy
+      value: 67.40080699394755
+    - type: f1
+      value: 65.60793135686376
+  - task:
+      type: Classification
+    dataset:
+      type: mteb/amazon_massive_scenario
+      name: MTEB MassiveScenarioClassification (fr)
+      config: fr
+      split: test
+      revision: 7d571f92784cd94a019292a1f45445077d0ef634
+    metrics:
+    - type: accuracy
+      value: 71.29455279085406
+    - type: f1
+      value: 70.80876673828983
+  - task:
+      type: Retrieval
+    dataset:
+      type: jinaai/mintakaqa
+      name: MTEB MintakaRetrieval (fr)
+      config: fr
+      split: test
+      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
+    metrics:
+    - type: map_at_1
+      value: 16.625999999999998
+    - type: map_at_10
+      value: 25.224999999999998
+    - type: map_at_100
+      value: 26.291999999999998
+    - type: map_at_1000
+      value: 26.395000000000003
+    - type: map_at_3
+      value: 22.378999999999998
+    - type: map_at_5
+      value: 24.009
+    - type: mrr_at_1
+      value: 16.625999999999998
+    - type: mrr_at_10
+      value: 25.224999999999998
+    - type: mrr_at_100
+      value: 26.291999999999998
+    - type: mrr_at_1000
+      value: 26.395000000000003
+    - type: mrr_at_3
+      value: 22.378999999999998
+    - type: mrr_at_5
+      value: 24.009
+    - type: ndcg_at_1
+      value: 16.625999999999998
+    - type: ndcg_at_10
+      value: 30.074
+    - type: ndcg_at_100
+      value: 35.683
+    - type: ndcg_at_1000
+      value: 38.714999999999996
+    - type: ndcg_at_3
+      value: 24.188000000000002
+    - type: ndcg_at_5
+      value: 27.124
+    - type: precision_at_1
+      value: 16.625999999999998
+    - type: precision_at_10
+      value: 4.566
+    - type: precision_at_100
+      value: 0.729
+    - type: precision_at_1000
+      value: 0.097
+    - type: precision_at_3
+      value: 9.801
+    - type: precision_at_5
+      value: 7.305000000000001
+    - type: recall_at_1
+      value: 16.625999999999998
+    - type: recall_at_10
+      value: 45.659
+    - type: recall_at_100
+      value: 72.85000000000001
+    - type: recall_at_1000
+      value: 97.42
+    - type: recall_at_3
+      value: 29.402
+    - type: recall_at_5
+      value: 36.527
+  - task:
+      type: PairClassification
+    dataset:
+      type: paws-x
+      name: MTEB PawsX (fr)
+      config: fr
+      split: test
+      revision: 8a04d940a42cd40658986fdd8e3da561533a3646
+    metrics:
+    - type: cos_sim_accuracy
+      value: 60.6
+    - type: cos_sim_ap
+      value: 60.18915797975459
+    - type: cos_sim_f1
+      value: 62.491349480968864
+    - type: cos_sim_precision
+      value: 45.44539506794162
+    - type: cos_sim_recall
+      value: 100.0
+    - type: dot_accuracy
+      value: 60.6
+    - type: dot_ap
+      value: 60.091135216056024
+    - type: dot_f1
+      value: 62.491349480968864
+    - type: dot_precision
+      value: 45.44539506794162
+    - type: dot_recall
+      value: 100.0
+    - type: euclidean_accuracy
+      value: 60.6
+    - type: euclidean_ap
+      value: 60.18915797975459
+    - type: euclidean_f1
+      value: 62.491349480968864
+    - type: euclidean_precision
+      value: 45.44539506794162
+    - type: euclidean_recall
+      value: 100.0
+    - type: manhattan_accuracy
+      value: 60.650000000000006
+    - type: manhattan_ap
+      value: 60.2082343915352
+    - type: manhattan_f1
+      value: 62.491349480968864
+    - type: manhattan_precision
+      value: 45.44539506794162
+    - type: manhattan_recall
+      value: 100.0
+    - type: max_accuracy
+      value: 60.650000000000006
+    - type: max_ap
+      value: 60.2082343915352
+    - type: max_f1
+      value: 62.491349480968864
+  - task:
+      type: STS
+    dataset:
+      type: Lajavaness/SICK-fr
+      name: MTEB SICKFr
+      config: default
+      split: test
+      revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
+    metrics:
+    - type: cos_sim_pearson
+      value: 79.77067200230256
+    - type: cos_sim_spearman
+      value: 76.7445532523278
+    - type: euclidean_pearson
+      value: 76.34017074673956
+    - type: euclidean_spearman
+      value: 76.7453011027832
+    - type: manhattan_pearson
+      value: 76.19578084197778
+    - type: manhattan_spearman
+      value: 76.56293456459228
+  - task:
+      type: STS
+    dataset:
+      type: mteb/sts22-crosslingual-sts
+      name: MTEB STS22 (fr)
+      config: fr
+      split: test
+      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+    metrics:
+    - type: cos_sim_pearson
+      value: 81.2564160237984
+    - type: cos_sim_spearman
+      value: 83.30552085410882
+    - type: euclidean_pearson
+      value: 82.00494560507786
+    - type: euclidean_spearman
+      value: 83.30552085410882
+    - type: manhattan_pearson
+      value: 81.93132229157803
+    - type: manhattan_spearman
+      value: 83.04357992939353
+  - task:
+      type: STS
+    dataset:
+      type: stsb_multi_mt
+      name: MTEB STSBenchmarkMultilingualSTS (fr)
+      config: fr
+      split: test
+      revision: 93d57ef91790589e3ce9c365164337a8a78b7632
+    metrics:
+    - type: cos_sim_pearson
+      value: 80.34931905288978
+    - type: cos_sim_spearman
+      value: 79.99372771100049
+    - type: euclidean_pearson
+      value: 78.37976845123443
+    - type: euclidean_spearman
+      value: 79.99452356550658
+    - type: manhattan_pearson
+      value: 78.24434042082316
+    - type: manhattan_spearman
+      value: 79.87248340061164
+  - task:
+      type: Summarization
+    dataset:
+      type: lyon-nlp/summarization-summeval-fr-p2p
+      name: MTEB SummEvalFr
+      config: default
+      split: test
+      revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
+    metrics:
+    - type: cos_sim_pearson
+      value: 30.476001473421586
+    - type: cos_sim_spearman
+      value: 29.687350195905456
+    - type: dot_pearson
+      value: 30.476000875190685
+    - type: dot_spearman
+      value: 29.662224660056562
+  - task:
+      type: Reranking
+    dataset:
+      type: lyon-nlp/mteb-fr-reranking-syntec-s2p
+      name: MTEB SyntecReranking
+      config: default
+      split: test
+      revision: b205c5084a0934ce8af14338bf03feb19499c84d
+    metrics:
+    - type: map
+      value: 88.28333333333333
+    - type: mrr
+      value: 88.28333333333333
+  - task:
+      type: Retrieval
+    dataset:
+      type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
+      name: MTEB SyntecRetrieval
+      config: default
+      split: test
+      revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
+    metrics:
+    - type: map_at_1
+      value: 69.0
+    - type: map_at_10
+      value: 79.906
+    - type: map_at_100
+      value: 79.982
+    - type: map_at_1000
+      value: 79.982
+    - type: map_at_3
+      value: 77.667
+    - type: map_at_5
+      value: 79.51700000000001
+    - type: mrr_at_1
+      value: 69.0
+    - type: mrr_at_10
+      value: 79.906
+    - type: mrr_at_100
+      value: 79.982
+    - type: mrr_at_1000
+      value: 79.982
+    - type: mrr_at_3
+      value: 77.667
+    - type: mrr_at_5
+      value: 79.51700000000001
+    - type: ndcg_at_1
+      value: 69.0
+    - type: ndcg_at_10
+      value: 84.60499999999999
+    - type: ndcg_at_100
+      value: 84.868
+    - type: ndcg_at_1000
+      value: 84.868
+    - type: ndcg_at_3
+      value: 80.333
+    - type: ndcg_at_5
+      value: 83.647
+    - type: precision_at_1
+      value: 69.0
+    - type: precision_at_10
+      value: 9.9
+    - type: precision_at_100
+      value: 1.0
+    - type: precision_at_1000
+      value: 0.1
+    - type: precision_at_3
+      value: 29.333
+    - type: precision_at_5
+      value: 19.2
+    - type: recall_at_1
+      value: 69.0
+    - type: recall_at_10
+      value: 99.0
+    - type: recall_at_100
+      value: 100.0
+    - type: recall_at_1000
+      value: 100.0
+    - type: recall_at_3
+      value: 88.0
+    - type: recall_at_5
+      value: 96.0
+  - task:
+      type: Retrieval
+    dataset:
+      type: jinaai/xpqa
+      name: MTEB XPQARetrieval (fr)
+      config: fr
+      split: test
+      revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
+    metrics:
+    - type: map_at_1
+      value: 42.027
+    - type: map_at_10
+      value: 64.331
+    - type: map_at_100
+      value: 65.657
+    - type: map_at_1000
+      value: 65.7
+    - type: map_at_3
+      value: 57.967999999999996
+    - type: map_at_5
+      value: 62.33800000000001
+    - type: mrr_at_1
+      value: 65.688
+    - type: mrr_at_10
+      value: 72.263
+    - type: mrr_at_100
+      value: 72.679
+    - type: mrr_at_1000
+      value: 72.69099999999999
+    - type: mrr_at_3
+      value: 70.405
+    - type: mrr_at_5
+      value: 71.587
+    - type: ndcg_at_1
+      value: 65.688
+    - type: ndcg_at_10
+      value: 70.221
+    - type: ndcg_at_100
+      value: 74.457
+    - type: ndcg_at_1000
+      value: 75.178
+    - type: ndcg_at_3
+      value: 65.423
+    - type: ndcg_at_5
+      value: 67.05499999999999
+    - type: precision_at_1
+      value: 65.688
+    - type: precision_at_10
+      value: 16.208
+    - type: precision_at_100
+      value: 1.975
+    - type: precision_at_1000
+      value: 0.207
+    - type: precision_at_3
+      value: 39.831
+    - type: precision_at_5
+      value: 28.652
+    - type: recall_at_1
+      value: 42.027
+    - type: recall_at_10
+      value: 78.803
+    - type: recall_at_100
+      value: 95.051
+    - type: recall_at_1000
+      value: 99.75500000000001
+    - type: recall_at_3
+      value: 62.62799999999999
+    - type: recall_at_5
+      value: 70.975
 ---
 
 # Solon Embeddings — large 0.1