Update README.md

README.md

@@ -21,9 +21,9 @@ model-index:
       revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
     metrics:
     - type: v_measure
-      value: 55.52298673909706
+      value: 59.15114729440782
     - type: v_measures
-      value: [0.5198748380785404, 0.5562521099012603, 0.5322986254464575, 0.5722250987615152, 0.532932258758668]
+      value: [0.6088344883526443, 0.5973965747446686, 0.5447756077407359, 0.5758855880313155, 0.5557001687682872]
   - task:
       type: Clustering
     dataset:
@@ -34,9 +34,9 @@ model-index:
       revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
     metrics:
     - type: v_measure
-      value: 35.802733348353094
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     - type: v_measures
-      value: [0.37359796790048144, 0.36376421464272285, 0.37524966704915225, 0.3749296797757371, 0.36673700158106576]
+      value: [0.38879769314999035, 0.4006045672100778, 0.3958716052074101, 0.4405039656967712, 0.47468521453925405]
   - task:
       type: Reranking
     dataset:
@@ -47,17 +47,17 @@ model-index:
       revision: 65393d0d7a08a10b4e348135e824f385d420b0fd
     metrics:
     - type: map
-      value: 73.10088493122083
+      value: 73.87182436982245
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+      value: 56.36974368790562
     - type: nAUC_mrr_max
-      value: 27.328424865584367
+      value: 24.630226324027316
   - task:
       type: Retrieval
     dataset:
@@ -68,215 +68,215 @@ model-index:
       revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
     metrics:
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+      value: 41.978
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   - task:
       type: Classification
     dataset:
@@ -287,11 +287,11 @@ model-index:
       revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
-      value: 44.10999999999999
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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: 13.062999999999999
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   - task:
       type: Clustering
     dataset:
@@ -521,35 +521,35 @@ model-index:
       revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
     metrics:
     - type: v_measure
-      value: 23.137623974622365
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+      value: [0.278272502518604, 0.25921772339921395, 0.2641171251066139, 0.2663752999094091, 0.23649418885985485]
   - task:
       type: Clustering
     dataset:
       type: reciTAL/mlsum
       name: MTEB MLSUMClusteringP2P
-      config: default
+      config: fr
       split: test
       revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
     metrics:
     - type: v_measure
-      value: 40.31003279146524
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     - type: v_measures
-      value: [0.3943651322813771, 0.4189000344922205, 0.4101443880670743, 0.3832149080991847, 0.37602613534689566]
+      value: [0.44382305997614757, 0.45849638769110745, 0.45186964282579195, 0.44407241104469836, 0.39488181195438643]
   - task:
       type: Clustering
     dataset:
       type: reciTAL/mlsum
       name: MTEB MLSUMClusteringS2S
-      config: default
+      config: fr
       split: test
       revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
     metrics:
     - type: v_measure
-      value: 40.04524841336757
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     - type: v_measures
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+      value: [0.44293968862639355, 0.45358259404927, 0.4544509656034716, 0.4464804623311193, 0.400104460457011]
   - task:
       type: Classification
     dataset:
@@ -560,11 +560,11 @@ model-index:
       revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
-      value: 87.82023175696837
+      value: 88.46226119636705
     - type: f1
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+      value: 88.37561423387648
     - type: f1_weighted
-      value: 87.75645870762435
+      value: 88.38817570958008
   - task:
       type: Classification
     dataset:
@@ -575,11 +575,11 @@ model-index:
       revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
-      value: 58.628249295333546
+      value: 60.27247103037895
     - type: f1
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+      value: 43.36800798113768
     - type: f1_weighted
-      value: 60.62087995743649
+      value: 62.65127593999621
   - task:
       type: Classification
     dataset:
@@ -590,11 +590,11 @@ model-index:
       revision: 18193f187b92da67168c655c9973a165ed9593dd
     metrics:
     - type: accuracy
-      value: 69.81042654028435
+      value: 78.0094786729858
     - type: f1
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+      value: 74.34441973526405
     - type: f1_weighted
-      value: 70.34901566149948
+      value: 78.20439089386724
   - task:
       type: Clustering
     dataset:
@@ -605,9 +605,9 @@ model-index:
       revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
     metrics:
     - type: v_measure
-      value: 45.02712178986078
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     - type: v_measures
-      value: [1.0, 0.23955793240111928, 0.7158920010774062, 0.036391635653837, 0.25951452036067674]
+      value: [1.0, 0.11908920120641955, 0.7679216739314454, 0.8367645040119921, 0.7755690164601873]
   - task:
       type: Clustering
     dataset:
@@ -618,9 +618,9 @@ model-index:
       revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
     metrics:
     - type: v_measure
-      value: 30.38607254306223
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     - type: v_measures
-      value: [1.0, 0.01936507478006705, 0.19876372667844472, 0.17182595867380823, 0.12934886702079137]
+      value: [1.0, 0.017508140483218165, 0.4153261241535689, 0.21327667744326673, 0.18678987633560207]
   - task:
       type: Classification
     dataset:
@@ -631,11 +631,11 @@ model-index:
       revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
-      value: 66.13651647612645
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     - type: f1_weighted
-      value: 65.01442547020224
+      value: 66.30814406163043
   - task:
       type: Classification
     dataset:
@@ -646,11 +646,11 @@ model-index:
       revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
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     - type: f1_weighted
-      value: 72.34295244611339
+      value: 73.70038947164628
   - task:
       type: Retrieval
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@@ -661,215 +661,215 @@ model-index:
       revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
     metrics:
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     - type: recall_at_1
-      value: 13.677
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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_5
-      value: 30.220999999999997
+      value: 29.156
   - task:
       type: PairClassification
     dataset:
@@ -879,52 +879,68 @@ model-index:
       split: test
       revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
     metrics:
-    - type: cos_sim_accuracy
-      value: 82.9700272479564
-    - type: cos_sim_ap
-      value: 93.15021785539084
-    - type: cos_sim_f1
-      value: 87.97316722568279
-    - type: cos_sim_precision
-      value: 85.0
-    - type: cos_sim_recall
-      value: 91.16186693147964
-    - type: dot_accuracy
-      value: 82.9700272479564
-    - type: dot_ap
-      value: 93.15021785539084
-    - type: dot_f1
-      value: 87.97316722568279
-    - type: dot_precision
-      value: 85.0
-    - type: dot_recall
-      value: 91.16186693147964
-    - type: euclidean_accuracy
-      value: 82.9700272479564
-    - type: euclidean_ap
-      value: 93.15015081441638
-    - type: euclidean_f1
-      value: 87.97316722568279
-    - type: euclidean_precision
-      value: 85.0
-    - type: euclidean_recall
-      value: 91.16186693147964
-    - type: manhattan_accuracy
-      value: 82.56130790190735
-    - type: manhattan_ap
-      value: 93.14590481820592
-    - type: manhattan_f1
-      value: 87.86729857819905
-    - type: manhattan_precision
-      value: 84.04351767905711
-    - type: manhattan_recall
-      value: 92.05561072492552
-    - type: max_accuracy
-      value: 82.9700272479564
-    - type: max_ap
-      value: 93.15021785539084
-    - type: max_f1
-      value: 87.97316722568279
+      - type: cos_sim_accuracy
+        value: 81.94822888283378
+      - type: cos_sim_accuracy_threshold
+        value: 59.67133641242981
+      - type: cos_sim_ap
+        value: 93.77568000367297
+      - type: cos_sim_f1
+        value: 87.33944954128441
+      - type: cos_sim_f1_threshold
+        value: 48.620444536209106
+      - type: cos_sim_precision
+        value: 81.15942028985508
+      - type: cos_sim_recall
+        value: 94.5382323733863
+      - type: dot_accuracy
+        value: 81.94822888283378
+      - type: dot_accuracy_threshold
+        value: 59.67133045196533
+      - type: dot_ap
+        value: 93.77568000367297
+      - type: dot_f1
+        value: 87.33944954128441
+      - type: dot_f1_threshold
+        value: 48.620444536209106
+      - type: dot_precision
+        value: 81.15942028985508
+      - type: dot_recall
+        value: 94.5382323733863
+      - type: euclidean_accuracy
+        value: 81.94822888283378
+      - type: euclidean_accuracy_threshold
+        value: 89.80941772460938
+      - type: euclidean_ap
+        value: 93.77568000367297
+      - type: euclidean_f1
+        value: 87.33944954128441
+      - type: euclidean_f1_threshold
+        value: 101.37012004852295
+      - type: euclidean_precision
+        value: 81.15942028985508
+      - type: euclidean_recall
+        value: 94.5382323733863
+      - type: manhattan_accuracy
+        value: 81.94822888283378
+      - type: manhattan_accuracy_threshold
+        value: 2278.3992767333984
+      - type: manhattan_ap
+        value: 93.736221809257
+      - type: manhattan_f1
+        value: 87.24319159101768
+      - type: manhattan_f1_threshold
+        value: 2442.0352935791016
+      - type: manhattan_precision
+        value: 84.06998158379374
+      - type: manhattan_recall
+        value: 90.66534260178749
+      - type: max_accuracy
+        value: 81.94822888283378
+      - type: max_ap
+        value: 93.77568000367297
+      - type: max_f1
+        value: 87.33944954128441
   - task:
       type: PairClassification
     dataset:
@@ -935,51 +951,51 @@ model-index:
       revision: 8a04d940a42cd40658986fdd8e3da561533a3646
     metrics:
     - type: cos_sim_accuracy
-      value: 64.14999999999999
+      value: 63.0
     - type: cos_sim_ap
-      value: 63.43794001840604
+      value: 62.8421811357794
     - type: cos_sim_f1
-      value: 62.59187620889749
+      value: 62.491349480968864
     - type: cos_sim_precision
-      value: 48.097502972651604
+      value: 45.44539506794162
     - type: cos_sim_recall
-      value: 89.59025470653378
+      value: 100.0
     - type: dot_accuracy
-      value: 64.14999999999999
+      value: 63.0
     - type: dot_ap
-      value: 63.52400235031554
+      value: 62.83128860568098
     - type: dot_f1
-      value: 62.59187620889749
+      value: 62.491349480968864
     - type: dot_precision
-      value: 48.097502972651604
+      value: 45.44539506794162
     - type: dot_recall
-      value: 89.59025470653378
+      value: 100.0
     - type: euclidean_accuracy
-      value: 64.14999999999999
+      value: 63.0
     - type: euclidean_ap
-      value: 63.43794001840604
+      value: 62.842229411681984
     - type: euclidean_f1
-      value: 62.59187620889749
+      value: 62.491349480968864
     - type: euclidean_precision
-      value: 48.097502972651604
+      value: 45.44539506794162
     - type: euclidean_recall
-      value: 89.59025470653378
+      value: 100.0
     - type: manhattan_accuracy
-      value: 64.2
+      value: 63.0
     - type: manhattan_ap
-      value: 63.46163243480347
+      value: 62.83631065292994
     - type: manhattan_f1
-      value: 62.540021344717175
+      value: 62.491349480968864
     - type: manhattan_precision
-      value: 46.069182389937104
+      value: 45.44539506794162
     - type: manhattan_recall
-      value: 97.34219269102991
+      value: 100.0
     - type: max_accuracy
-      value: 64.2
+      value: 63.0
     - type: max_ap
-      value: 63.52400235031554
+      value: 62.842229411681984
     - type: max_f1
-      value: 62.59187620889749
+      value: 62.491349480968864
   - task:
       type: STS
     dataset:
@@ -990,17 +1006,17 @@ model-index:
       revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
     metrics:
     - type: cos_sim_pearson
-      value: 85.12347242597652
+      value: 84.65226798174751
     - type: cos_sim_spearman
-      value: 79.80580538857501
+      value: 78.46069171893217
     - type: euclidean_pearson
-      value: 82.03127787921382
+      value: 82.24338215489338
     - type: euclidean_spearman
-      value: 79.80580538857501
+      value: 78.46069230414263
     - type: manhattan_pearson
-      value: 82.02795155003601
+      value: 82.19430457441406
     - type: manhattan_spearman
-      value: 79.7808784011127
+      value: 78.39600534130474
   - task:
       type: STS
     dataset:
@@ -1011,17 +1027,17 @@ model-index:
       revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
     - type: cos_sim_pearson
-      value: 82.34462624659417
+      value: 84.34356343286501
     - type: cos_sim_spearman
-      value: 82.83867899462683
+      value: 83.82441862674773
     - type: euclidean_pearson
-      value: 80.00679113308384
+      value: 83.36025657327927
     - type: euclidean_spearman
-      value: 82.83867899462683
+      value: 83.82441862674773
     - type: manhattan_pearson
-      value: 79.97582730301362
+      value: 83.28632889698486
     - type: manhattan_spearman
-      value: 82.95718926500541
+      value: 83.72086058674401
   - task:
       type: STS
     dataset:
@@ -1032,17 +1048,17 @@ model-index:
       revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
     metrics:
     - type: cos_sim_pearson
-      value: 86.0897698618904
+      value: 85.61138706775607
     - type: cos_sim_spearman
-      value: 86.58814894229229
+      value: 86.79352172029321
     - type: euclidean_pearson
-      value: 85.53992615842806
+      value: 85.83986489860736
     - type: euclidean_spearman
-      value: 86.58814894229229
+      value: 86.79352162100042
     - type: manhattan_pearson
-      value: 85.4985023034774
+      value: 85.7236873261734
     - type: manhattan_spearman
-      value: 86.50239881298486
+      value: 86.66968689546516
   - task:
       type: Summarization
     dataset:
@@ -1053,13 +1069,13 @@ model-index:
       revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
     metrics:
     - type: cos_sim_pearson
-      value: 30.458145110977753
+      value: 30.185028827409205
     - type: cos_sim_spearman
-      value: 31.624715940109265
+      value: 30.13786083775273
     - type: dot_pearson
-      value: 30.458145236239915
+      value: 30.18503030285526
     - type: dot_spearman
-      value: 31.624715940109265
+      value: 30.13786083775273
   - task:
       type: Reranking
     dataset:
@@ -1070,17 +1086,17 @@ model-index:
       revision: daf0863838cd9e3ba50544cdce3ac2b338a1b0ad
     metrics:
     - type: map
-      value: 87.60277777777777
+      value: 88.89444444444443
     - type: mrr
-      value: 87.60277777777777
+      value: 88.89444444444443
     - type: nAUC_map_diff1
-      value: 63.877496103879814
+      value: 65.57681789015096
     - type: nAUC_map_max
-      value: -4.8943605546581725
+      value: 11.774011617096468
     - type: nAUC_mrr_diff1
-      value: 63.877496103879814
+      value: 65.57681789015096
     - type: nAUC_mrr_max
-      value: -4.8943605546581725
+      value: 11.774011617096468
   - task:
       type: Retrieval
     dataset:
@@ -1091,117 +1107,117 @@ model-index:
       revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
     metrics:
     - type: map_at_1
-      value: 67.0
+      value: 71.0
     - type: map_at_10
-      value: 78.47800000000001
+      value: 81.3
     - type: map_at_100
-      value: 78.616
+      value: 81.407
     - type: map_at_1000
-      value: 78.616
+      value: 81.407
     - type: map_at_20
-      value: 78.52799999999999
+      value: 81.353
     - type: map_at_3
-      value: 77.833
+      value: 80.333
     - type: map_at_5
-      value: 78.033
+      value: 81.033
     - type: mrr_at_1
-      value: 67.0
+      value: 71.0
     - type: mrr_at_10
-      value: 78.47777777777777
+      value: 81.29999999999998
     - type: mrr_at_100
-      value: 78.61609758846066
+      value: 81.40672514619881
     - type: mrr_at_1000
-      value: 78.61609758846066
+      value: 81.40672514619881
     - type: mrr_at_20
-      value: 78.52777777777777
+      value: 81.35263157894735
     - type: mrr_at_3
-      value: 77.83333333333331
+      value: 80.33333333333333
     - type: mrr_at_5
-      value: 78.03333333333333
+      value: 81.03333333333333
     - type: nauc_map_at_1000_diff1
-      value: 54.76919250379753
+      value: 65.56551939236816
     - type: nauc_map_at_1000_max
-      value: 24.03294042759147
+      value: 21.060745704748204
     - type: nauc_map_at_100_diff1
-      value: 54.76919250379753
+      value: 65.56551939236816
     - type: nauc_map_at_100_max
-      value: 24.03294042759147
+      value: 21.060745704748204
     - type: nauc_map_at_10_diff1
-      value: 54.781660658782506
+      value: 65.55980069698242
     - type: nauc_map_at_10_max
-      value: 24.45332707633837
+      value: 21.3190442929788
     - type: nauc_map_at_1_diff1
-      value: 54.48189466912695
+      value: 67.21642606971449
     - type: nauc_map_at_1_max
-      value: 17.502666282947597
+      value: 19.793191631302918
     - type: nauc_map_at_20_diff1
-      value: 54.69518355408933
+      value: 65.538721219245
     - type: nauc_map_at_20_max
-      value: 24.285263763068183
+      value: 21.070102756046573
     - type: nauc_map_at_3_diff1
-      value: 54.98928575752318
+      value: 66.48655081074173
     - type: nauc_map_at_3_max
-      value: 25.252117626643916
+      value: 22.33715748971969
     - type: nauc_map_at_5_diff1
-      value: 54.51750311747391
+      value: 65.4498092196869
     - type: nauc_map_at_5_max
-      value: 25.141479081321766
+      value: 22.041207079018868
     - type: nauc_mrr_at_1000_diff1
-      value: 54.76919250379753
+      value: 65.56551939236816
     - type: nauc_mrr_at_1000_max
-      value: 24.03294042759147
+      value: 21.060745704748204
     - type: nauc_mrr_at_100_diff1
-      value: 54.76919250379753
+      value: 65.56551939236816
     - type: nauc_mrr_at_100_max
-      value: 24.03294042759147
+      value: 21.060745704748204
     - type: nauc_mrr_at_10_diff1
-      value: 54.781660658782506
+      value: 65.55980069698242
     - type: nauc_mrr_at_10_max
-      value: 24.45332707633837
+      value: 21.3190442929788
     - type: nauc_mrr_at_1_diff1
-      value: 54.48189466912695
+      value: 67.21642606971449
     - type: nauc_mrr_at_1_max
-      value: 17.502666282947597
+      value: 19.793191631302918
     - type: nauc_mrr_at_20_diff1
-      value: 54.69518355408933
+      value: 65.538721219245
     - type: nauc_mrr_at_20_max
-      value: 24.285263763068183
+      value: 21.070102756046573
     - type: nauc_mrr_at_3_diff1
-      value: 54.98928575752318
+      value: 66.48655081074173
     - type: nauc_mrr_at_3_max
-      value: 25.252117626643916
+      value: 22.33715748971969
     - type: nauc_mrr_at_5_diff1
-      value: 54.51750311747391
+      value: 65.4498092196869
     - type: nauc_mrr_at_5_max
-      value: 25.141479081321766
+      value: 22.041207079018868
     - type: nauc_ndcg_at_1000_diff1
-      value: 54.411394691026196
+      value: 65.37799652661094
     - type: nauc_ndcg_at_1000_max
-      value: 25.003182969921014
+      value: 21.618775539952175
     - type: nauc_ndcg_at_100_diff1
-      value: 54.411394691026196
+      value: 65.37799652661094
     - type: nauc_ndcg_at_100_max
-      value: 25.003182969921014
+      value: 21.618775539952175
     - type: nauc_ndcg_at_10_diff1
-      value: 53.97509194326736
+      value: 65.24121131711044
     - type: nauc_ndcg_at_10_max
-      value: 27.51736442048005
+      value: 23.00629044068508
     - type: nauc_ndcg_at_1_diff1
-      value: 54.48189466912695
+      value: 67.21642606971449
     - type: nauc_ndcg_at_1_max
-      value: 17.502666282947597
+      value: 19.793191631302918
     - type: nauc_ndcg_at_20_diff1
-      value: 53.46713794714154
+      value: 65.11745065699384
     - type: nauc_ndcg_at_20_max
-      value: 26.601577957753005
+      value: 21.64133163322825
     - type: nauc_ndcg_at_3_diff1
-      value: 54.521393171396525
+      value: 66.99908176973135
     - type: nauc_ndcg_at_3_max
-      value: 29.07380139412928
+      value: 25.59125363095015
     - type: nauc_ndcg_at_5_diff1
-      value: 53.42255297135452
+      value: 64.80888193232458
     - type: nauc_ndcg_at_5_max
-      value: 28.91110004742623
+      value: 25.161787586855322
     - type: nauc_precision_at_1000_diff1
       value: nan
     - type: nauc_precision_at_1000_max
@@ -1211,25 +1227,25 @@ model-index:
     - type: nauc_precision_at_100_max
       value: nan
     - type: nauc_precision_at_10_diff1
-      value: 41.59663865546228
+      value: 61.50015561780299
     - type: nauc_precision_at_10_max
-      value: 67.44864612511667
+      value: 47.88359788359829
     - type: nauc_precision_at_1_diff1
-      value: 54.48189466912695
+      value: 67.21642606971449
     - type: nauc_precision_at_1_max
-      value: 17.502666282947597
+      value: 19.793191631302918
     - type: nauc_precision_at_20_diff1
-      value: 26.486150015561265
+      value: 56.13912231559286
     - type: nauc_precision_at_20_max
-      value: 60.95549330843449
+      value: 21.82539682539744
     - type: nauc_precision_at_3_diff1
-      value: 50.78781512605074
+      value: 70.79831932773126
     - type: nauc_precision_at_3_max
-      value: 55.48552754435131
+      value: 47.46148459383747
     - type: nauc_precision_at_5_diff1
-      value: 43.75750300120062
+      value: 58.50606909430468
     - type: nauc_precision_at_5_max
-      value: 58.29665199413101
+      value: 57.19887955182096
     - type: nauc_recall_at_1000_diff1
       value: nan
     - type: nauc_recall_at_1000_max
@@ -1239,67 +1255,67 @@ model-index:
     - type: nauc_recall_at_100_max
       value: nan
     - type: nauc_recall_at_10_diff1
-      value: 41.59663865546242
+      value: 61.500155617802555
     - type: nauc_recall_at_10_max
-      value: 67.44864612511677
+      value: 47.88359788359823
     - type: nauc_recall_at_1_diff1
-      value: 54.48189466912695
+      value: 67.21642606971449
     - type: nauc_recall_at_1_max
-      value: 17.502666282947597
+      value: 19.793191631302918
     - type: nauc_recall_at_20_diff1
-      value: 26.486150015561737
+      value: 56.13912231559305
     - type: nauc_recall_at_20_max
-      value: 60.95549330843472
+      value: 21.825396825396858
     - type: nauc_recall_at_3_diff1
-      value: 50.787815126050376
+      value: 70.79831932773116
     - type: nauc_recall_at_3_max
-      value: 55.48552754435111
+      value: 47.461484593837426
     - type: nauc_recall_at_5_diff1
-      value: 43.75750300120054
+      value: 58.506069094304394
     - type: nauc_recall_at_5_max
-      value: 58.29665199413113
+      value: 57.19887955182054
     - type: ndcg_at_1
-      value: 67.0
+      value: 71.0
     - type: ndcg_at_10
-      value: 82.864
+      value: 85.226
     - type: ndcg_at_100
-      value: 83.672
+      value: 85.839
     - type: ndcg_at_1000
-      value: 83.672
+      value: 85.839
     - type: ndcg_at_20
-      value: 83.092
+      value: 85.458
     - type: ndcg_at_3
-      value: 81.464
+      value: 83.333
     - type: ndcg_at_5
-      value: 81.851
+      value: 84.58099999999999
     - type: precision_at_1
-      value: 67.0
+      value: 71.0
     - type: precision_at_10
-      value: 9.6
+      value: 9.700000000000001
     - type: precision_at_100
       value: 1.0
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_20
-      value: 4.8500000000000005
+      value: 4.9
     - type: precision_at_3
       value: 30.667
     - type: precision_at_5
-      value: 18.6
+      value: 19.0
     - type: recall_at_1
-      value: 67.0
+      value: 71.0
     - type: recall_at_10
-      value: 96.0
+      value: 97.0
     - type: recall_at_100
       value: 100.0
     - type: recall_at_1000
       value: 100.0
     - type: recall_at_20
-      value: 97.0
+      value: 98.0
     - type: recall_at_3
       value: 92.0
     - type: recall_at_5
-      value: 93.0
+      value: 95.0
   - task:
       type: Retrieval
     dataset:
@@ -1310,215 +1326,215 @@ model-index:
       revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
     metrics:
     - type: map_at_1
-      value: 40.038000000000004
+      value: 40.668
     - type: map_at_10
-      value: 62.409000000000006
+      value: 63.29900000000001
     - type: map_at_100
-      value: 63.63999999999999
+      value: 64.628
     - type: map_at_1000
-      value: 63.693
+      value: 64.683
     - type: map_at_20
-      value: 63.165000000000006
+      value: 64.156
     - type: map_at_3
-      value: 55.364999999999995
+      value: 56.858
     - type: map_at_5
-      value: 59.95399999999999
+      value: 61.072
     - type: mrr_at_1
-      value: 62.88384512683578
+      value: 63.28437917222964
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 license: apache-2.0
 language:
 - fr
@@ -1608,4 +1624,4 @@ TODO
       author={Thakur, Nandan and Reimers, Nils and Daxenberger, Johannes and Gurevych, Iryna},
       journal={arXiv e-prints},
       pages={arXiv--2010},
-      year={2020}
+      year={2020}