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chore: patch multi-class classification rus scores

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  1. README.md +269 -0
README.md CHANGED
@@ -131,6 +131,275 @@ model-index:
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  value: 43.4726782647566
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  task:
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  type: STS
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - dataset:
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  config: default
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  name: MTEB ATEC (default)
 
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  value: 43.4726782647566
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  task:
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  type: STS
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+ - dataset:
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+ config: default
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+ name: MTEB CEDRClassification (default)
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+ revision: c0ba03d058e3e1b2f3fd20518875a4563dd12db4
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+ split: test
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+ type: ai-forever/cedr-classification
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+ metrics:
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+ - type: accuracy
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+ value: 47.30605738575983
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+ - type: f1
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+ value: 41.26091043925065
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+ - type: lrap
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+ value: 72.89452709883206
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+ - type: main_score
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+ value: 47.30605738575983
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+ task:
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+ type: MultilabelClassification
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+ - dataset:
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+ config: ru
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+ name: MTEB MIRACLReranking (ru)
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+ revision: 6d1962c527217f8927fca80f890f14f36b2802af
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+ split: dev
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+ type: miracl/mmteb-miracl-reranking
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+ metrics:
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+ - type: MAP@1(MIRACL)
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+ value: 20.721999999999998
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+ - type: MAP@10(MIRACL)
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+ value: 33.900999999999996
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+ - type: MAP@100(MIRACL)
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+ value: 36.813
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+ - type: MAP@1000(MIRACL)
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+ value: 36.813
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+ - type: MAP@20(MIRACL)
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+ value: 35.684
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+ - type: MAP@3(MIRACL)
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+ value: 28.141
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+ - type: MAP@5(MIRACL)
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+ value: 31.075000000000003
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+ - type: NDCG@1(MIRACL)
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+ value: 32.799
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+ - type: NDCG@10(MIRACL)
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+ value: 42.065000000000005
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+ - type: NDCG@100(MIRACL)
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+ value: 49.730999999999995
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+ - type: NDCG@1000(MIRACL)
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+ value: 49.730999999999995
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+ - type: NDCG@20(MIRACL)
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+ value: 46.0
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+ - type: NDCG@3(MIRACL)
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+ value: 34.481
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+ - type: NDCG@5(MIRACL)
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+ value: 37.452999999999996
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+ - type: P@1(MIRACL)
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+ value: 32.799
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+ - type: P@10(MIRACL)
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+ value: 11.668000000000001
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+ - type: P@100(MIRACL)
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+ value: 1.9529999999999998
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+ - type: P@1000(MIRACL)
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+ value: 0.19499999999999998
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+ - type: P@20(MIRACL)
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+ value: 7.51
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+ - type: P@3(MIRACL)
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+ value: 20.823
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+ - type: P@5(MIRACL)
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+ value: 16.728
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+ - type: Recall@1(MIRACL)
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+ value: 20.721999999999998
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+ - type: Recall@10(MIRACL)
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+ value: 54.762
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+ - type: Recall@100(MIRACL)
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+ value: 79.952
206
+ - type: Recall@1000(MIRACL)
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+ value: 79.952
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+ - type: Recall@20(MIRACL)
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+ value: 66.26100000000001
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+ - type: Recall@3(MIRACL)
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+ value: 34.410000000000004
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+ - type: Recall@5(MIRACL)
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+ value: 42.659000000000006
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+ - type: main_score
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+ value: 42.065000000000005
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+ - type: nAUC_MAP@1000_diff1(MIRACL)
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+ value: 14.33534992502818
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+ - type: nAUC_MAP@1000_max(MIRACL)
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+ value: 12.367998764646115
220
+ - type: nAUC_MAP@1000_std(MIRACL)
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+ value: 4.569686002935006
222
+ - type: nAUC_MAP@100_diff1(MIRACL)
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+ value: 14.33534992502818
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+ - type: nAUC_MAP@100_max(MIRACL)
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+ value: 12.367998764646115
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+ - type: nAUC_MAP@100_std(MIRACL)
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+ value: 4.569686002935006
228
+ - type: nAUC_MAP@10_diff1(MIRACL)
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+ value: 16.920323975680027
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+ - type: nAUC_MAP@10_max(MIRACL)
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+ value: 9.327171297204082
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+ - type: nAUC_MAP@10_std(MIRACL)
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+ value: 3.2039133783079015
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+ - type: nAUC_MAP@1_diff1(MIRACL)
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+ value: 28.698973487482206
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+ - type: nAUC_MAP@1_max(MIRACL)
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+ value: 2.9217687660885034
238
+ - type: nAUC_MAP@1_std(MIRACL)
239
+ value: -1.1247408800976524
240
+ - type: nAUC_MAP@20_diff1(MIRACL)
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+ value: 15.359083081640476
242
+ - type: nAUC_MAP@20_max(MIRACL)
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+ value: 11.310494233946345
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+ - type: nAUC_MAP@20_std(MIRACL)
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+ value: 4.4171898386022885
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+ - type: nAUC_MAP@3_diff1(MIRACL)
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+ value: 22.27430591851617
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+ - type: nAUC_MAP@3_max(MIRACL)
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+ value: 6.407438291284658
250
+ - type: nAUC_MAP@3_std(MIRACL)
251
+ value: 0.9799184530397409
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+ - type: nAUC_MAP@5_diff1(MIRACL)
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+ value: 19.20571689941054
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+ - type: nAUC_MAP@5_max(MIRACL)
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+ value: 7.987468654026893
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+ - type: nAUC_MAP@5_std(MIRACL)
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+ value: 1.8324246565938962
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+ - type: nAUC_NDCG@1000_diff1(MIRACL)
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+ value: 3.7537669018914768
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+ - type: nAUC_NDCG@1000_max(MIRACL)
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+ value: 20.7944707840533
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+ - type: nAUC_NDCG@1000_std(MIRACL)
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+ value: 8.444837055303063
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+ - type: nAUC_NDCG@100_diff1(MIRACL)
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+ value: 3.7537669018914768
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+ - type: nAUC_NDCG@100_max(MIRACL)
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+ value: 20.7944707840533
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+ - type: nAUC_NDCG@100_std(MIRACL)
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+ value: 8.444837055303063
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+ - type: nAUC_NDCG@10_diff1(MIRACL)
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+ value: 10.829575656103888
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+ - type: nAUC_NDCG@10_max(MIRACL)
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+ value: 13.0445496498929
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+ - type: nAUC_NDCG@10_std(MIRACL)
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+ value: 6.050412212625362
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+ - type: nAUC_NDCG@1_diff1(MIRACL)
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+ value: 19.1388712233292
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+ - type: nAUC_NDCG@1_max(MIRACL)
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+ value: 10.871900994781642
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+ - type: nAUC_NDCG@1_std(MIRACL)
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+ value: 3.218568248751811
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+ - type: nAUC_NDCG@20_diff1(MIRACL)
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+ value: 7.093172181746442
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+ - type: nAUC_NDCG@20_max(MIRACL)
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+ value: 16.955238078958836
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+ - type: nAUC_NDCG@20_std(MIRACL)
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+ value: 8.325656379573035
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+ - type: nAUC_NDCG@3_diff1(MIRACL)
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+ value: 17.134437303330802
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+ - type: nAUC_NDCG@3_max(MIRACL)
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+ value: 10.235328822955793
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+ - type: nAUC_NDCG@3_std(MIRACL)
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+ value: 3.2341358691084814
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+ - type: nAUC_NDCG@5_diff1(MIRACL)
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+ value: 14.733664618337636
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+ - type: nAUC_NDCG@5_max(MIRACL)
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+ value: 11.181897412035282
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+ - type: nAUC_NDCG@5_std(MIRACL)
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+ value: 3.642277088791985
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+ - type: nAUC_P@1000_diff1(MIRACL)
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+ value: -26.330038284867573
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+ - type: nAUC_P@1000_max(MIRACL)
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+ value: 28.450694137240458
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+ - type: nAUC_P@1000_std(MIRACL)
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+ value: 9.892993775474912
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+ - type: nAUC_P@100_diff1(MIRACL)
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+ value: -26.330038284867552
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+ - type: nAUC_P@100_max(MIRACL)
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+ value: 28.45069413724051
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+ - type: nAUC_P@100_std(MIRACL)
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+ value: 9.892993775474928
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+ - type: nAUC_P@10_diff1(MIRACL)
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+ value: -17.436937353231112
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+ - type: nAUC_P@10_max(MIRACL)
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+ value: 24.327018012947857
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+ - type: nAUC_P@10_std(MIRACL)
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+ value: 11.78803527706634
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+ - type: nAUC_P@1_diff1(MIRACL)
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+ value: 19.1388712233292
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+ - type: nAUC_P@1_max(MIRACL)
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+ value: 10.871900994781642
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+ - type: nAUC_P@1_std(MIRACL)
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+ value: 3.218568248751811
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+ - type: nAUC_P@20_diff1(MIRACL)
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+ value: -22.947528755272426
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+ - type: nAUC_P@20_max(MIRACL)
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+ value: 27.773093471902538
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+ - type: nAUC_P@20_std(MIRACL)
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+ value: 14.898619107087221
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+ - type: nAUC_P@3_diff1(MIRACL)
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+ value: 1.4100426412400944
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+ - type: nAUC_P@3_max(MIRACL)
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+ value: 17.397472872058845
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+ - type: nAUC_P@3_std(MIRACL)
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+ value: 8.240008229861875
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+ - type: nAUC_P@5_diff1(MIRACL)
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+ value: -7.971349332207021
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+ - type: nAUC_P@5_max(MIRACL)
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+ value: 22.198441167940963
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+ - type: nAUC_P@5_std(MIRACL)
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+ value: 9.00265164460082
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+ - type: nAUC_Recall@1000_diff1(MIRACL)
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+ value: -38.69835271863148
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+ - type: nAUC_Recall@1000_max(MIRACL)
345
+ value: 50.9545152809108
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+ - type: nAUC_Recall@1000_std(MIRACL)
347
+ value: 20.44270887092116
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+ - type: nAUC_Recall@100_diff1(MIRACL)
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+ value: -38.69835271863148
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+ - type: nAUC_Recall@100_max(MIRACL)
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+ value: 50.9545152809108
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+ - type: nAUC_Recall@100_std(MIRACL)
353
+ value: 20.44270887092116
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+ - type: nAUC_Recall@10_diff1(MIRACL)
355
+ value: -0.08109036309433801
356
+ - type: nAUC_Recall@10_max(MIRACL)
357
+ value: 12.696619907773568
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+ - type: nAUC_Recall@10_std(MIRACL)
359
+ value: 8.791982704261589
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+ - type: nAUC_Recall@1_diff1(MIRACL)
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+ value: 28.698973487482206
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+ - type: nAUC_Recall@1_max(MIRACL)
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+ value: 2.9217687660885034
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+ - type: nAUC_Recall@1_std(MIRACL)
365
+ value: -1.1247408800976524
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+ - type: nAUC_Recall@20_diff1(MIRACL)
367
+ value: -13.312171017942623
368
+ - type: nAUC_Recall@20_max(MIRACL)
369
+ value: 24.19847346821666
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+ - type: nAUC_Recall@20_std(MIRACL)
371
+ value: 15.8157702609797
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+ - type: nAUC_Recall@3_diff1(MIRACL)
373
+ value: 16.909128321353343
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+ - type: nAUC_Recall@3_max(MIRACL)
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+ value: 6.552122731902991
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+ - type: nAUC_Recall@3_std(MIRACL)
377
+ value: 1.9963898223457228
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+ - type: nAUC_Recall@5_diff1(MIRACL)
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+ value: 9.990292655247721
380
+ - type: nAUC_Recall@5_max(MIRACL)
381
+ value: 9.361722273507574
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+ - type: nAUC_Recall@5_std(MIRACL)
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+ value: 3.270918827854495
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+ task:
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+ type: Reranking
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+ - dataset:
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+ config: default
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+ name: MTEB SensitiveTopicsClassification (default)
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+ revision: 416b34a802308eac30e4192afc0ff99bb8dcc7f2
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+ split: test
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+ type: ai-forever/sensitive-topics-classification
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+ metrics:
393
+ - type: accuracy
394
+ value: 30.634765625
395
+ - type: f1
396
+ value: 32.647559808678665
397
+ - type: lrap
398
+ value: 45.94319661458259
399
+ - type: main_score
400
+ value: 30.634765625
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+ task:
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+ type: MultilabelClassification
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  - dataset:
404
  config: default
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  name: MTEB ATEC (default)