Update README.md

README.md

@@ -21,9 +21,9 @@ model-index:
       revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
     metrics:
     - type: v_measure
-      value: 56.77190187231352
+      value: 65.3004467686438
     - type: v_measures
-      value: [0.5591529760439443, 0.5974955147482336, 0.5823433887463434, 0.5582030533486634, 0.5608784889863708]
+      value: [0.632560011824588, 0.6345771823814063, 0.6333686484625257, 0.6508206816667124, 0.6378451181543632]
   - task:
       type: Clustering
     dataset:
@@ -34,9 +34,9 @@ model-index:
       revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
     metrics:
     - type: v_measure
-      value: 43.8035296814567
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     - type: v_measures
-      value: [0.48563274496248593, 0.39879051227524587, 0.4846924607458884, 0.48918774336682036, 0.42626900366019754]
+      value: [0.5262468095085737, 0.586151012721014, 0.5192907959178751, 0.5610730679809162, 0.6360060059791816]
   - task:
       type: Reranking
     dataset:
@@ -47,17 +47,17 @@ model-index:
       revision: 65393d0d7a08a10b4e348135e824f385d420b0fd
     metrics:
     - type: map
-      value: 71.51753654257872
+      value: 73.63055206572554
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+      value: 74.69705225210407
     - type: nAUC_map_diff1
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     - type: nAUC_mrr_max
-      value: 23.607169979872587
+      value: 22.29736406333825
   - task:
       type: Retrieval
     dataset:
@@ -68,215 +68,215 @@ model-index:
       revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
     metrics:
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   - task:
       type: Classification
     dataset:
@@ -287,11 +287,11 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 45.504
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     - type: f1_weighted
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   - task:
       type: Retrieval
     dataset:
@@ -302,215 +302,215 @@ model-index:
       revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
     metrics:
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-      value: 15.766
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   - task:
       type: Clustering
     dataset:
@@ -521,35 +521,35 @@ model-index:
       revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
     metrics:
     - type: v_measure
-      value: 24.858750161104126
+      value: 26.26502535631247
     - type: v_measures
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+      value: [0.30893096531878045, 0.27408569069152805, 0.2872676670832888, 0.26871778422889214, 0.2421329238735192]
   - task:
       type: Clustering
     dataset:
-      type: mlsum
+      type: reciTAL/mlsum
       name: MTEB MLSUMClusteringP2P
       config: fr
       split: test
       revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
     metrics:
     - type: v_measure
-      value: 39.196489283513955
+      value: 42.60059039120384
     - type: v_measures
-      value: [0.397079645426394, 0.41814959265244056, 0.4075805000522318, 0.3777207448521023, 0.3499037023664506]
+      value: [0.4248169037837413, 0.44678284494908554, 0.4386784796938775, 0.41609051956546156, 0.37929269357080225]
   - task:
       type: Clustering
     dataset:
-      type: mlsum
+      type: reciTAL/mlsum
       name: MTEB MLSUMClusteringS2S
       config: fr
       split: test
       revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
     metrics:
     - type: v_measure
-      value: 38.90242301200363
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     - type: v_measures
-      value: [0.3879152638224075, 0.4155376524170288, 0.41644489647223826, 0.3720493791140543, 0.33885028730003314]
+      value: [0.4320945601805418, 0.43467886343873713, 0.4345273113581795, 0.4277842446367462, 0.381555432691925]
   - task:
       type: Classification
     dataset:
@@ -560,11 +560,11 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 86.88380833072345
+      value: 88.33385530848732
     - type: f1
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+      value: 88.36975245849551
     - type: f1_weighted
-      value: 86.83432508604707
+      value: 88.310383667222
   - task:
       type: Classification
     dataset:
@@ -575,11 +575,11 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 63.780144065142494
+      value: 62.84685248982148
     - type: f1
-      value: 46.070400220183394
+      value: 44.420122133882366
     - type: f1_weighted
-      value: 66.2871618019472
+      value: 65.2728620649712
   - task:
       type: Classification
     dataset:
@@ -590,11 +590,11 @@ model-index:
       revision: 18193f187b92da67168c655c9973a165ed9593dd
     metrics:
     - type: accuracy
-      value: 73.64928909952606
+      value: 80.56872037914692
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-      value: 70.38554255346646
+      value: 77.28557364601339
     - type: f1_weighted
-      value: 73.78534895009892
+      value: 80.51403795220486
   - task:
       type: Clustering
     dataset:
@@ -605,9 +605,9 @@ model-index:
       revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
     metrics:
     - type: v_measure
-      value: 53.94667838037061
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     - type: v_measures
-      value: [1.0, 0.02235188516574002, 0.3929431892497775, 0.5064698281428253, 0.7755690164601873]
+      value: [1.0, 0.2773866490640993, 0.7679216739314454, 0.8367645040119921, 0.6826411909764316]
   - task:
       type: Clustering
     dataset:
@@ -618,9 +618,9 @@ model-index:
       revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
     metrics:
     - type: v_measure
-      value: 34.0804579102654
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     - type: v_measures
-      value: [1.0, 0.03741154081338069, 0.3515971997960832, 0.027612964551341854, 0.2874011903524643]
+      value: [1.0, 0.0008196849334082873, 0.7532269197656756, 0.37056337344528145, 0.6299375040156386]
   - task:
       type: Classification
     dataset:
@@ -631,11 +631,11 @@ model-index:
       revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
-      value: 66.42905178211164
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+      value: 64.35238995318795
     - type: f1_weighted
-      value: 65.57615486214955
+      value: 65.7206181780162
   - task:
       type: Classification
     dataset:
@@ -646,11 +646,11 @@ model-index:
       revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
-      value: 70.72293207800942
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     - type: f1_weighted
-      value: 70.47189927452128
+      value: 72.81793917434213
   - task:
       type: Retrieval
     dataset:
@@ -661,215 +661,215 @@ model-index:
       revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
     metrics:
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     - type: precision_at_5
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     - type: recall_at_1
-      value: 19.41
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     - type: recall_at_10
-      value: 47.952
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     - type: recall_at_100
-      value: 74.36500000000001
+      value: 73.833
     - type: recall_at_1000
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     - type: recall_at_20
-      value: 57.371
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     - type: recall_at_3
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     - type: recall_at_5
-      value: 39.558
+      value: 38.943
   - task:
       type: PairClassification
     dataset:
@@ -880,106 +880,106 @@ model-index:
       revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
     metrics:
     - type: cos_sim_accuracy
-      value: 84.60490463215259
+      value: 84.80926430517711
     - type: cos_sim_ap
-      value: 94.73385323002613
+      value: 94.76661922683681
     - type: cos_sim_f1
-      value: 89.28571428571428
+      value: 89.31480594154289
     - type: cos_sim_precision
-      value: 82.83772302463891
+      value: 86.29629629629629
     - type: cos_sim_recall
-      value: 96.8222442899702
+      value: 92.55213505461768
     - type: dot_accuracy
-      value: 84.60490463215259
+      value: 84.80926430517711
     - type: dot_ap
-      value: 94.73385323002613
+      value: 94.76663088644299
     - type: dot_f1
-      value: 89.28571428571428
+      value: 89.31480594154289
     - type: dot_precision
-      value: 82.83772302463891
+      value: 86.29629629629629
     - type: dot_recall
-      value: 96.8222442899702
+      value: 92.55213505461768
     - type: euclidean_accuracy
-      value: 84.60490463215259
+      value: 84.80926430517711
     - type: euclidean_ap
-      value: 94.73385323002613
+      value: 94.76661922683681
     - type: euclidean_f1
-      value: 89.28571428571428
+      value: 89.31480594154289
     - type: euclidean_precision
-      value: 82.83772302463891
+      value: 86.29629629629629
     - type: euclidean_recall
-      value: 96.8222442899702
+      value: 92.55213505461768
     - type: manhattan_accuracy
-      value: 84.46866485013624
+      value: 84.94550408719346
     - type: manhattan_ap
-      value: 94.6952667850496
+      value: 94.78582392571815
     - type: manhattan_f1
-      value: 89.20454545454546
+      value: 89.33912204534491
     - type: manhattan_precision
-      value: 85.24886877828054
+      value: 86.86679174484052
     - type: manhattan_recall
-      value: 93.54518371400199
+      value: 91.95630585898709
     - type: max_accuracy
-      value: 84.60490463215259
+      value: 84.94550408719346
     - type: max_ap
-      value: 94.73385323002613
+      value: 94.78582392571815
     - type: max_f1
-      value: 89.28571428571428
+      value: 89.33912204534491
   - task:
       type: PairClassification
     dataset:
-      type: paws-x
+      type: google-research-datasets/paws-x
       name: MTEB PawsX (fr)
       config: fr
       split: test
       revision: 8a04d940a42cd40658986fdd8e3da561533a3646
     metrics:
     - type: cos_sim_accuracy
-      value: 64.25
+      value: 64.5
     - type: cos_sim_ap
-      value: 64.3383111759356
+      value: 64.51219412005997
     - type: cos_sim_f1
-      value: 63.03703703703704
+      value: 62.84885828198622
     - type: cos_sim_precision
-      value: 47.35670562047857
+      value: 46.713362068965516
     - type: cos_sim_recall
-      value: 94.24141749723145
+      value: 96.01328903654485
     - type: dot_accuracy
-      value: 64.25
+      value: 64.5
     - type: dot_ap
-      value: 64.33647413039195
+      value: 64.50290830259848
     - type: dot_f1
-      value: 63.03703703703704
+      value: 62.84885828198622
     - type: dot_precision
-      value: 47.35670562047857
+      value: 46.713362068965516
     - type: dot_recall
-      value: 94.24141749723145
+      value: 96.01328903654485
     - type: euclidean_accuracy
-      value: 64.25
+      value: 64.5
     - type: euclidean_ap
-      value: 64.33837256418407
+      value: 64.51219412005995
     - type: euclidean_f1
-      value: 63.03703703703704
+      value: 62.84885828198622
     - type: euclidean_precision
-      value: 47.35670562047857
+      value: 46.713362068965516
     - type: euclidean_recall
-      value: 94.24141749723145
+      value: 96.01328903654485
     - type: manhattan_accuracy
-      value: 64.3
+      value: 64.55
     - type: manhattan_ap
-      value: 64.32795078191543
+      value: 64.54022554293084
     - type: manhattan_f1
-      value: 62.935507783543365
+      value: 62.836363636363636
     - type: manhattan_precision
-      value: 47.298050139275766
+      value: 46.778559826746076
     - type: manhattan_recall
-      value: 94.01993355481729
+      value: 95.68106312292359
     - type: max_accuracy
-      value: 64.3
+      value: 64.55
     - type: max_ap
-      value: 64.33837256418407
+      value: 64.54022554293084
     - type: max_f1
-      value: 63.03703703703704
+      value: 62.84885828198622
   - task:
       type: STS
     dataset:
@@ -990,17 +990,17 @@ model-index:
       revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
     metrics:
     - type: cos_sim_pearson
-      value: 84.72950355896789
+      value: 85.15315949054092
     - type: cos_sim_spearman
-      value: 79.4608290812696
+      value: 79.19701933507372
     - type: euclidean_pearson
-      value: 81.32539142627735
+      value: 82.68441006897395
     - type: euclidean_spearman
-      value: 79.46019403205177
+      value: 79.1963186010215
     - type: manhattan_pearson
-      value: 81.35998006674681
+      value: 82.6725500567899
     - type: manhattan_spearman
-      value: 79.41438354042496
+      value: 79.13255295711785
   - task:
       type: STS
     dataset:
@@ -1008,41 +1008,41 @@ model-index:
       name: MTEB STS22 (fr)
       config: fr
       split: test
-      revision: eea2b4fe26a775864c896887d910b76a8098ad3f
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cos_sim_pearson
-      value: 81.94721498063055
+      value: 83.13328685349694
     - type: cos_sim_spearman
-      value: 83.27561639335909
+      value: 84.64291479319418
     - type: euclidean_pearson
-      value: 80.74250472409508
+      value: 83.28605886303359
     - type: euclidean_spearman
-      value: 83.27561639335909
+      value: 84.64291479319418
     - type: manhattan_pearson
-      value: 80.55336080634422
+      value: 83.01485484058145
     - type: manhattan_spearman
-      value: 83.46556509775091
+      value: 84.35826862976153
   - task:
       type: STS
     dataset:
-      type: PhilipMay/stsb_multi_mt
+      type: mteb/stsb_multi_mt
       name: MTEB STSBenchmarkMultilingualSTS (fr)
       config: fr
       split: test
-      revision: 93d57ef91790589e3ce9c365164337a8a78b7632
+      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
     metrics:
     - type: cos_sim_pearson
-      value: 86.42208373352562
+      value: 86.15391910168253
     - type: cos_sim_spearman
-      value: 86.99991276887566
+      value: 87.0224186207858
     - type: euclidean_pearson
-      value: 85.50325028600815
+      value: 86.04463800957714
     - type: euclidean_spearman
-      value: 87.00166758198344
+      value: 87.02424394489165
     - type: manhattan_pearson
-      value: 85.51048739822163
+      value: 86.03126279628441
     - type: manhattan_spearman
-      value: 86.98373812309134
+      value: 86.99427177229043
   - task:
       type: Summarization
     dataset:
@@ -1053,13 +1053,13 @@ model-index:
       revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
     metrics:
     - type: cos_sim_pearson
-      value: 31.911797754639164
+      value: 31.415083738613355
     - type: cos_sim_spearman
-      value: 32.17186521965941
+      value: 30.301784303588285
     - type: dot_pearson
-      value: 31.911796813216963
+      value: 31.415089981266963
     - type: dot_spearman
-      value: 32.17186521965941
+      value: 30.286152348575108
   - task:
       type: Reranking
     dataset:
@@ -1070,17 +1070,17 @@ model-index:
       revision: daf0863838cd9e3ba50544cdce3ac2b338a1b0ad
     metrics:
     - type: map
-      value: 86.04285714285714
+      value: 85.95238095238095
     - type: mrr
-      value: 86.04285714285714
+      value: 85.95238095238095
     - type: nAUC_map_diff1
-      value: 67.26948440486838
+      value: 70.42176052252755
     - type: nAUC_map_max
-      value: 1.8106095852919237
+      value: 19.806028833551718
     - type: nAUC_mrr_diff1
-      value: 67.26948440486838
+      value: 70.42176052252755
     - type: nAUC_mrr_max
-      value: 1.8106095852919237
+      value: 19.806028833551718
   - task:
       type: Retrieval
     dataset:
@@ -1091,117 +1091,117 @@ model-index:
       revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
     metrics:
     - type: map_at_1
-      value: 72.0
+      value: 69.0
     - type: map_at_10
-      value: 81.294
+      value: 79.668
     - type: map_at_100
-      value: 81.428
+      value: 79.791
     - type: map_at_1000
-      value: 81.428
+      value: 79.791
     - type: map_at_20
-      value: 81.38499999999999
+      value: 79.751
     - type: map_at_3
-      value: 79.833
+      value: 78.167
     - type: map_at_5
-      value: 80.88300000000001
+      value: 79.067
     - type: mrr_at_1
-      value: 72.0
+      value: 69.0
     - type: mrr_at_10
-      value: 81.2940476190476
+      value: 79.66785714285714
     - type: mrr_at_100
-      value: 81.42843497082626
+      value: 79.7911904761905
     - type: mrr_at_1000
-      value: 81.42843497082626
+      value: 79.7911904761905
     - type: mrr_at_20
-      value: 81.3849567099567
+      value: 79.75119047619049
     - type: mrr_at_3
-      value: 79.83333333333334
+      value: 78.16666666666666
     - type: mrr_at_5
-      value: 80.88333333333333
+      value: 79.06666666666666
     - type: nauc_map_at_1000_diff1
-      value: 49.54228699135176
+      value: 57.567834845260215
     - type: nauc_map_at_1000_max
-      value: 0.06067639126124744
+      value: 19.884081021539316
     - type: nauc_map_at_100_diff1
-      value: 49.54228699135176
+      value: 57.567834845260215
     - type: nauc_map_at_100_max
-      value: 0.06067639126124744
+      value: 19.884081021539316
     - type: nauc_map_at_10_diff1
-      value: 49.53852081026105
+      value: 57.58744042822529
     - type: nauc_map_at_10_max
-      value: 0.3053366025276881
+      value: 20.086792005769567
     - type: nauc_map_at_1_diff1
-      value: 46.31028693528697
+      value: 58.094784556502134
     - type: nauc_map_at_1_max
-      value: -1.3144841269841376
+      value: 16.46471594616999
     - type: nauc_map_at_20_diff1
-      value: 49.506524393346865
+      value: 57.51896058548769
     - type: nauc_map_at_20_max
-      value: -0.08620516816116486
+      value: 19.71285790868927
     - type: nauc_map_at_3_diff1
-      value: 51.19253694434259
+      value: 57.896383908331885
     - type: nauc_map_at_3_max
-      value: 0.668963341320456
+      value: 19.524006306996704
     - type: nauc_map_at_5_diff1
-      value: 49.37737335974092
+      value: 57.45922462199208
     - type: nauc_map_at_5_max
-      value: -0.33590080679527184
+      value: 21.48138549193403
     - type: nauc_mrr_at_1000_diff1
-      value: 49.54228699135176
+      value: 57.567834845260215
     - type: nauc_mrr_at_1000_max
-      value: 0.06067639126124744
+      value: 19.884081021539316
     - type: nauc_mrr_at_100_diff1
-      value: 49.54228699135176
+      value: 57.567834845260215
     - type: nauc_mrr_at_100_max
-      value: 0.06067639126124744
+      value: 19.884081021539316
     - type: nauc_mrr_at_10_diff1
-      value: 49.53852081026105
+      value: 57.58744042822529
     - type: nauc_mrr_at_10_max
-      value: 0.3053366025276881
+      value: 20.086792005769567
     - type: nauc_mrr_at_1_diff1
-      value: 46.31028693528697
+      value: 58.094784556502134
     - type: nauc_mrr_at_1_max
-      value: -1.3144841269841376
+      value: 16.46471594616999
     - type: nauc_mrr_at_20_diff1
-      value: 49.506524393346865
+      value: 57.51896058548769
     - type: nauc_mrr_at_20_max
-      value: -0.08620516816116486
+      value: 19.71285790868927
     - type: nauc_mrr_at_3_diff1
-      value: 51.19253694434259
+      value: 57.896383908331885
     - type: nauc_mrr_at_3_max
-      value: 0.668963341320456
+      value: 19.524006306996704
     - type: nauc_mrr_at_5_diff1
-      value: 49.37737335974092
+      value: 57.45922462199208
     - type: nauc_mrr_at_5_max
-      value: -0.33590080679527184
+      value: 21.48138549193403
     - type: nauc_ndcg_at_1000_diff1
-      value: 49.6848382380357
+      value: 57.45681586498414
     - type: nauc_ndcg_at_1000_max
-      value: 0.04870501937096382
+      value: 20.083159493214627
     - type: nauc_ndcg_at_100_diff1
-      value: 49.6848382380357
+      value: 57.45681586498414
     - type: nauc_ndcg_at_100_max
-      value: 0.04870501937096382
+      value: 20.083159493214627
     - type: nauc_ndcg_at_10_diff1
-      value: 49.57645777272915
+      value: 57.41282118307387
     - type: nauc_ndcg_at_10_max
-      value: 0.6430420679440534
+      value: 20.46449823725533
     - type: nauc_ndcg_at_1_diff1
-      value: 46.31028693528697
+      value: 58.094784556502134
     - type: nauc_ndcg_at_1_max
-      value: -1.3144841269841376
+      value: 16.46471594616999
     - type: nauc_ndcg_at_20_diff1
-      value: 49.45017977018584
+      value: 57.121174268460486
     - type: nauc_ndcg_at_20_max
-      value: -0.9049646537819854
+      value: 18.898176707436974
     - type: nauc_ndcg_at_3_diff1
-      value: 52.898658060430904
+      value: 57.98367634437588
     - type: nauc_ndcg_at_3_max
-      value: 1.3070987858400047
+      value: 20.131770232644623
     - type: nauc_ndcg_at_5_diff1
-      value: 49.054456158711595
+      value: 56.88983122749084
     - type: nauc_ndcg_at_5_max
-      value: -1.177736876794348
+      value: 24.213859501270516
     - type: nauc_precision_at_1000_diff1
       value: nan
     - type: nauc_precision_at_1000_max
@@ -1211,25 +1211,25 @@ model-index:
     - type: nauc_precision_at_100_max
       value: nan
     - type: nauc_precision_at_10_diff1
-      value: 45.611577964519334
+      value: 54.014939309057695
     - type: nauc_precision_at_10_max
-      value: 7.936507936508234
+      value: 21.82539682539744
     - type: nauc_precision_at_1_diff1
-      value: 46.31028693528697
+      value: 58.094784556502134
     - type: nauc_precision_at_1_max
-      value: -1.3144841269841376
+      value: 16.46471594616999
     - type: nauc_precision_at_20_diff1
       value: 35.80765639589114
     - type: nauc_precision_at_20_max
       value: -56.34920634920767
     - type: nauc_precision_at_3_diff1
-      value: 61.56395891690006
+      value: 58.57142857142844
     - type: nauc_precision_at_3_max
-      value: 4.509803921568394
+      value: 23.053221288515303
     - type: nauc_precision_at_5_diff1
-      value: 43.15592903828254
+      value: 51.26050420168061
     - type: nauc_precision_at_5_max
-      value: -11.783380018673482
+      value: 49.00404606286964
     - type: nauc_recall_at_1000_diff1
       value: nan
     - type: nauc_recall_at_1000_max
@@ -1239,41 +1239,41 @@ model-index:
     - type: nauc_recall_at_100_max
       value: nan
     - type: nauc_recall_at_10_diff1
-      value: 45.61157796451899
+      value: 54.0149393090569
     - type: nauc_recall_at_10_max
-      value: 7.9365079365084235
+      value: 21.825396825396858
     - type: nauc_recall_at_1_diff1
-      value: 46.31028693528697
+      value: 58.094784556502134
     - type: nauc_recall_at_1_max
-      value: -1.3144841269841376
+      value: 16.46471594616999
     - type: nauc_recall_at_20_diff1
       value: 35.80765639589109
     - type: nauc_recall_at_20_max
       value: -56.34920634920657
     - type: nauc_recall_at_3_diff1
-      value: 61.5639589169002
+      value: 58.571428571428505
     - type: nauc_recall_at_3_max
-      value: 4.509803921568655
+      value: 23.05322128851543
     - type: nauc_recall_at_5_diff1
-      value: 43.15592903828185
+      value: 51.260504201680824
     - type: nauc_recall_at_5_max
-      value: -11.783380018674132
+      value: 49.004046062869584
     - type: ndcg_at_1
-      value: 72.0
+      value: 69.0
     - type: ndcg_at_10
-      value: 85.39999999999999
+      value: 84.198
     - type: ndcg_at_100
-      value: 85.897
+      value: 84.681
     - type: ndcg_at_1000
-      value: 85.897
+      value: 84.681
     - type: ndcg_at_20
-      value: 85.679
+      value: 84.46900000000001
     - type: ndcg_at_3
-      value: 82.44
+      value: 81.202
     - type: ndcg_at_5
-      value: 84.418
+      value: 82.837
     - type: precision_at_1
-      value: 72.0
+      value: 69.0
     - type: precision_at_10
       value: 9.8
     - type: precision_at_100
@@ -1285,9 +1285,9 @@ model-index:
     - type: precision_at_3
       value: 30.0
     - type: precision_at_5
-      value: 19.0
+      value: 18.8
     - type: recall_at_1
-      value: 72.0
+      value: 69.0
     - type: recall_at_10
       value: 98.0
     - type: recall_at_100
@@ -1299,7 +1299,7 @@ model-index:
     - type: recall_at_3
       value: 90.0
     - type: recall_at_5
-      value: 95.0
+      value: 94.0
   - task:
       type: Retrieval
     dataset:
@@ -1310,215 +1310,215 @@ model-index:
       revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
     metrics:
     - type: map_at_1
-      value: 39.007999999999996
+      value: 37.454
     - type: map_at_10
-      value: 60.319
+      value: 59.729
     - type: map_at_100
-      value: 61.644
+      value: 61.231
     - type: map_at_1000
-      value: 61.712
+      value: 61.282000000000004
     - type: map_at_20
-      value: 61.053000000000004
+      value: 60.675000000000004
     - type: map_at_3
-      value: 53.942
+      value: 53.425999999999995
     - type: map_at_5
-      value: 58.132
+      value: 57.565999999999995
     - type: mrr_at_1
-      value: 60.747663551401864
+      value: 59.279038718291055
     - type: mrr_at_10
-      value: 68.10636404094345
+      value: 68.25534575200794
     - type: mrr_at_100
-      value: 68.57873500135119
+      value: 68.80659018708569
     - type: mrr_at_1000
-      value: 68.60183171580495
+      value: 68.81865645170022
     - type: mrr_at_20
-      value: 68.36478690417064
+      value: 68.62067293285176
     - type: mrr_at_3
-      value: 66.08811748998662
+      value: 66.24388072986201
     - type: mrr_at_5
-      value: 67.12950600801062
+      value: 67.57231864708496
     - type: nauc_map_at_1000_diff1
-      value: 46.633293504114434
+      value: 47.188346029255904
     - type: nauc_map_at_1000_max
-      value: 49.64101214126472
+      value: 49.17571323638286
     - type: nauc_map_at_100_diff1
-      value: 46.591074735810764
+      value: 47.16123074739342
     - type: nauc_map_at_100_max
-      value: 49.60435205919251
+      value: 49.19310263766242
     - type: nauc_map_at_10_diff1
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 license: apache-2.0
 language:
     - fr