Upload README.md

update ms-marco retrieval dev score

README.md

@@ -5506,291 +5506,291 @@ model-index:
       config: default
       name: MTEB MSMARCO (default)
       revision: c5a29a104738b98a9e76336939199e264163d4a0
-      split: test
+      split: dev
       type: mteb/msmarco
     metrics:
     - type: ndcg_at_1
-      value: 74.031
+      value: 25.759
     - type: ndcg_at_3
-      value: 73.195
+      value: 37.159
     - type: ndcg_at_5
-      value: 73.662
+      value: 41.388999999999996
     - type: ndcg_at_10
-      value: 72.125
+      value: 45.31
     - type: ndcg_at_20
-      value: 70.85000000000001
+      value: 47.912
     - type: ndcg_at_100
-      value: 67.414
+      value: 50.719
     - type: ndcg_at_1000
-      value: 76.541
+      value: 51.636
     - type: map_at_1
-      value: 1.7420000000000002
+      value: 25.056
     - type: map_at_3
-      value: 5.6930000000000005
+      value: 34.059
     - type: map_at_5
-      value: 9.209
+      value: 36.424
     - type: map_at_10
-      value: 15.546
+      value: 38.099
     - type: map_at_20
-      value: 25.465
+      value: 38.834
     - type: map_at_100
-      value: 44.432
+      value: 39.245999999999995
     - type: map_at_1000
-      value: 55.001
+      value: 39.285
     - type: recall_at_1
-      value: 1.7420000000000002
+      value: 25.056
     - type: recall_at_3
-      value: 6.239
+      value: 45.414
     - type: recall_at_5
-      value: 10.144
+      value: 55.595000000000006
     - type: recall_at_10
-      value: 17.2
+      value: 67.43900000000001
     - type: recall_at_20
-      value: 28.627999999999997
+      value: 77.544
     - type: recall_at_100
-      value: 55.80500000000001
+      value: 92.23599999999999
     - type: recall_at_1000
-      value: 85.225
+      value: 99.087
     - type: precision_at_1
-      value: 93.023
+      value: 25.759
     - type: precision_at_3
-      value: 89.14699999999999
+      value: 15.716
     - type: precision_at_5
-      value: 87.442
+      value: 11.579
     - type: precision_at_10
-      value: 81.628
+      value: 7.063999999999999
     - type: precision_at_20
-      value: 74.767
+      value: 4.074
     - type: precision_at_100
-      value: 41.0
+      value: 0.975
     - type: precision_at_1000
-      value: 7.993
+      value: 0.105
     - type: mrr_at_1
-      value: 93.02329999999999
+      value: 25.759300000000003
     - type: mrr_at_3
-      value: 94.9612
+      value: 34.7827
     - type: mrr_at_5
-      value: 94.9612
+      value: 37.1122
     - type: mrr_at_10
-      value: 95.2935
+      value: 38.702799999999996
     - type: mrr_at_20
-      value: 95.2935
+      value: 39.4035
     - type: mrr_at_100
-      value: 95.2935
+      value: 39.7874
     - type: mrr_at_1000
-      value: 95.2935
+      value: 39.820499999999996
     - type: nauc_ndcg_at_1_max
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+      value: 39.0921
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+      value: 35.3955
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-      value: -22.506300000000003
+      value: 36.314
     - type: nauc_map_at_1000_max
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     - type: nauc_map_at_1000_diff1
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     - type: nauc_recall_at_1_max
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     - type: nauc_recall_at_1_std
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     - type: nauc_recall_at_1_diff1
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     - type: nauc_recall_at_5_std
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     - type: nauc_recall_at_5_diff1
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     - type: nauc_recall_at_10_max
-      value: -7.1036
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     - type: nauc_recall_at_10_std
-      value: -32.289899999999996
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     - type: nauc_recall_at_10_diff1
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     - type: nauc_recall_at_20_max
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     - type: nauc_recall_at_20_std
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     - type: nauc_recall_at_100_max
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     - type: nauc_recall_at_100_std
-      value: -0.3801
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     - type: nauc_recall_at_100_diff1
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     - type: nauc_recall_at_1000_diff1
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     - type: main_score
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+      value: 45.31
     task:
       type: Retrieval
   - dataset: