Update README.md

README.md

@@ -21,9 +21,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 83.17439011737613
+      value: 84.09137463267582
     - type: mrr
-      value: 85.62503968253968
+      value: 86.6288888888889
   - task:
       type: Reranking
     dataset:
@@ -34,22 +34,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 85.97167310151039
+      value: 86.55765031914974
     - type: mrr
-      value: 88.73103174603175
-  - task:
-      type: Reranking
-    dataset:
-      type: C-MTEB/Mmarco-reranking
-      name: MTEB MMarcoReranking
-      config: default
-      split: dev
-      revision: None
-    metrics:
-    - type: map
-      value: 32.43532878646741
-    - type: mrr
-      value: 31.374603174603173
+      value: 89.4325396825397
   - task:
       type: Retrieval
     dataset:
@@ -60,65 +47,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 24.528
+      value: 23.21
     - type: map_at_10
-      value: 35.662
+      value: 33.455
     - type: map_at_100
-      value: 37.464
+      value: 35.176
     - type: map_at_1000
-      value: 37.608000000000004
+      value: 35.332
     - type: map_at_3
-      value: 32.125
+      value: 30.058
     - type: map_at_5
-      value: 34.044000000000004
+      value: 31.863999999999997
     - type: mrr_at_1
-      value: 37.358999999999995
+      value: 35.634
     - type: mrr_at_10
-      value: 44.414
+      value: 42.277
     - type: mrr_at_100
-      value: 45.434000000000005
+      value: 43.281
     - type: mrr_at_1000
-      value: 45.495999999999995
+      value: 43.349
     - type: mrr_at_3
-      value: 42.352000000000004
+      value: 40.127
     - type: mrr_at_5
-      value: 43.45
+      value: 41.223
     - type: ndcg_at_1
-      value: 37.358999999999995
+      value: 35.634
     - type: ndcg_at_10
-      value: 41.533
+      value: 39.226
     - type: ndcg_at_100
-      value: 48.967
+      value: 46.538000000000004
     - type: ndcg_at_1000
-      value: 51.495999999999995
+      value: 49.342999999999996
     - type: ndcg_at_3
-      value: 37.297000000000004
+      value: 35.004999999999995
     - type: ndcg_at_5
-      value: 38.913
+      value: 36.492000000000004
     - type: precision_at_1
-      value: 37.358999999999995
+      value: 35.634
     - type: precision_at_10
-      value: 9.09
+      value: 8.591999999999999
     - type: precision_at_100
-      value: 1.522
+      value: 1.467
     - type: precision_at_1000
-      value: 0.183
+      value: 0.181
     - type: precision_at_3
-      value: 20.979999999999997
+      value: 19.613
     - type: precision_at_5
-      value: 14.934
+      value: 13.988
     - type: recall_at_1
-      value: 24.528
+      value: 23.21
     - type: recall_at_10
-      value: 50.119
+      value: 47.728
     - type: recall_at_100
-      value: 81.443
+      value: 78.669
     - type: recall_at_1000
-      value: 98.38
+      value: 97.506
     - type: recall_at_3
-      value: 36.961
+      value: 34.361000000000004
     - type: recall_at_5
-      value: 42.392
+      value: 39.486
   - task:
       type: Retrieval
     dataset:
@@ -129,65 +116,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.179
+      value: 70.759
     - type: map_at_10
-      value: 78.52
+      value: 79.314
     - type: map_at_100
-      value: 78.77199999999999
+      value: 79.557
     - type: map_at_1000
-      value: 78.776
+      value: 79.561
     - type: map_at_3
-      value: 76.954
+      value: 77.819
     - type: map_at_5
-      value: 77.828
+      value: 78.717
     - type: mrr_at_1
-      value: 70.39
+      value: 71.02199999999999
     - type: mrr_at_10
-      value: 78.577
+      value: 79.361
     - type: mrr_at_100
-      value: 78.828
+      value: 79.605
     - type: mrr_at_1000
-      value: 78.83200000000001
+      value: 79.609
     - type: mrr_at_3
-      value: 77.151
+      value: 77.959
     - type: mrr_at_5
-      value: 77.947
+      value: 78.82900000000001
     - type: ndcg_at_1
-      value: 70.39
+      value: 70.917
     - type: ndcg_at_10
-      value: 82.223
+      value: 82.931
     - type: ndcg_at_100
-      value: 83.367
+      value: 84.016
     - type: ndcg_at_1000
-      value: 83.503
+      value: 84.155
     - type: ndcg_at_3
-      value: 79.142
+      value: 79.994
     - type: ndcg_at_5
-      value: 80.655
+      value: 81.57799999999999
     - type: precision_at_1
-      value: 70.39
+      value: 70.917
     - type: precision_at_10
-      value: 9.463000000000001
+      value: 9.504999999999999
     - type: precision_at_100
-      value: 0.9979999999999999
+      value: 0.9990000000000001
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 28.627000000000002
+      value: 28.908
     - type: precision_at_5
-      value: 17.935000000000002
+      value: 18.145
     - type: recall_at_1
-      value: 70.179
+      value: 70.759
     - type: recall_at_10
-      value: 93.572
+      value: 93.994
     - type: recall_at_100
-      value: 98.736
+      value: 98.84100000000001
     - type: recall_at_1000
-      value: 99.895
+      value: 100.0
     - type: recall_at_3
-      value: 85.274
+      value: 86.17
     - type: recall_at_5
-      value: 88.909
+      value: 89.96300000000001
   - task:
       type: Retrieval
     dataset:
@@ -198,65 +185,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 26.106
+      value: 26.344
     - type: map_at_10
-      value: 80.219
+      value: 81.26
     - type: map_at_100
-      value: 82.979
+      value: 84.011
     - type: map_at_1000
-      value: 83.021
+      value: 84.05
     - type: map_at_3
-      value: 55.348
+      value: 56.384
     - type: map_at_5
-      value: 70.025
+      value: 71.141
     - type: mrr_at_1
-      value: 89.75
+      value: 90.60000000000001
     - type: mrr_at_10
-      value: 93.208
+      value: 93.77
     - type: mrr_at_100
-      value: 93.24900000000001
+      value: 93.816
     - type: mrr_at_1000
-      value: 93.253
+      value: 93.82000000000001
     - type: mrr_at_3
-      value: 92.875
+      value: 93.542
     - type: mrr_at_5
-      value: 93.107
+      value: 93.687
     - type: ndcg_at_1
-      value: 89.75
+      value: 90.60000000000001
     - type: ndcg_at_10
-      value: 87.641
+      value: 88.352
     - type: ndcg_at_100
-      value: 90.14
+      value: 90.767
     - type: ndcg_at_1000
-      value: 90.514
+      value: 91.118
     - type: ndcg_at_3
-      value: 86.048
+      value: 87.21900000000001
     - type: ndcg_at_5
-      value: 85.25399999999999
+      value: 86.163
     - type: precision_at_1
-      value: 89.75
+      value: 90.60000000000001
     - type: precision_at_10
-      value: 42.105
+      value: 42.3
     - type: precision_at_100
-      value: 4.811
+      value: 4.82
     - type: precision_at_1000
       value: 0.48900000000000005
     - type: precision_at_3
-      value: 77.167
+      value: 78.25
     - type: precision_at_5
-      value: 65.41
+      value: 66.03999999999999
     - type: recall_at_1
-      value: 26.106
+      value: 26.344
     - type: recall_at_10
-      value: 89.209
+      value: 89.59
     - type: recall_at_100
-      value: 97.475
+      value: 97.584
     - type: recall_at_1000
-      value: 99.459
+      value: 99.46300000000001
     - type: recall_at_3
-      value: 57.793000000000006
+      value: 58.87
     - type: recall_at_5
-      value: 75.03999999999999
+      value: 75.81099999999999
   - task:
       type: Retrieval
     dataset:
@@ -267,65 +254,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 53.300000000000004
+      value: 54.1
     - type: map_at_10
-      value: 62.663999999999994
+      value: 63.478
     - type: map_at_100
-      value: 63.222
+      value: 64.048
     - type: map_at_1000
-      value: 63.235
+      value: 64.061
     - type: map_at_3
-      value: 60.06700000000001
+      value: 61.0
     - type: map_at_5
-      value: 61.687000000000005
+      value: 62.585
     - type: mrr_at_1
-      value: 53.300000000000004
+      value: 54.1
     - type: mrr_at_10
-      value: 62.663999999999994
+      value: 63.478
     - type: mrr_at_100
-      value: 63.222
+      value: 64.048
     - type: mrr_at_1000
-      value: 63.235
+      value: 64.061
     - type: mrr_at_3
-      value: 60.06700000000001
+      value: 61.0
     - type: mrr_at_5
-      value: 61.687000000000005
+      value: 62.585
     - type: ndcg_at_1
-      value: 53.300000000000004
+      value: 54.1
     - type: ndcg_at_10
-      value: 67.431
+      value: 68.14099999999999
     - type: ndcg_at_100
-      value: 70.01899999999999
+      value: 70.703
     - type: ndcg_at_1000
-      value: 70.35
+      value: 71.045
     - type: ndcg_at_3
-      value: 62.188
+      value: 63.164
     - type: ndcg_at_5
-      value: 65.067
+      value: 66.013
     - type: precision_at_1
-      value: 53.300000000000004
+      value: 54.1
     - type: precision_at_10
-      value: 8.25
+      value: 8.28
     - type: precision_at_100
       value: 0.943
     - type: precision_at_1000
       value: 0.097
     - type: precision_at_3
-      value: 22.767
+      value: 23.133
     - type: precision_at_5
-      value: 15.040000000000001
+      value: 15.260000000000002
     - type: recall_at_1
-      value: 53.300000000000004
+      value: 54.1
     - type: recall_at_10
-      value: 82.5
+      value: 82.8
     - type: recall_at_100
       value: 94.3
     - type: recall_at_1000
-      value: 96.89999999999999
+      value: 97.0
     - type: recall_at_3
-      value: 68.30000000000001
+      value: 69.39999999999999
     - type: recall_at_5
-      value: 75.2
+      value: 76.3
   - task:
       type: Retrieval
     dataset:
@@ -336,65 +323,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 70.616
+      value: 71.329
     - type: map_at_10
-      value: 79.404
+      value: 80.038
     - type: map_at_100
-      value: 79.642
+      value: 80.28
     - type: map_at_1000
-      value: 79.649
+      value: 80.286
     - type: map_at_3
-      value: 77.717
+      value: 78.435
     - type: map_at_5
-      value: 78.88
+      value: 79.509
     - type: mrr_at_1
-      value: 72.951
+      value: 73.711
     - type: mrr_at_10
-      value: 79.893
+      value: 80.53
     - type: mrr_at_100
-      value: 80.10199999999999
+      value: 80.743
     - type: mrr_at_1000
-      value: 80.108
+      value: 80.75
     - type: mrr_at_3
-      value: 78.479
+      value: 79.181
     - type: mrr_at_5
-      value: 79.452
+      value: 80.077
     - type: ndcg_at_1
-      value: 72.951
+      value: 73.711
     - type: ndcg_at_10
-      value: 82.80499999999999
+      value: 83.333
     - type: ndcg_at_100
-      value: 83.857
+      value: 84.375
     - type: ndcg_at_1000
-      value: 84.054
+      value: 84.56700000000001
     - type: ndcg_at_3
-      value: 79.69800000000001
+      value: 80.374
     - type: ndcg_at_5
-      value: 81.636
+      value: 82.145
     - type: precision_at_1
-      value: 72.951
+      value: 73.711
     - type: precision_at_10
-      value: 9.868
+      value: 9.894
     - type: precision_at_100
-      value: 1.039
+      value: 1.04
     - type: precision_at_1000
       value: 0.106
     - type: precision_at_3
-      value: 29.857
+      value: 30.067
     - type: precision_at_5
-      value: 18.948
+      value: 18.989
     - type: recall_at_1
-      value: 70.616
+      value: 71.329
     - type: recall_at_10
-      value: 92.729
+      value: 92.917
     - type: recall_at_100
-      value: 97.452
+      value: 97.543
     - type: recall_at_1000
-      value: 99.035
+      value: 99.08500000000001
     - type: recall_at_3
-      value: 84.63300000000001
+      value: 85.187
     - type: recall_at_5
-      value: 89.242
+      value: 89.36500000000001
   - task:
       type: Retrieval
     dataset:
@@ -405,65 +392,78 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 52.5
+      value: 54.1
     - type: map_at_10
-      value: 58.121
+      value: 59.227
     - type: map_at_100
-      value: 58.648999999999994
+      value: 59.811
     - type: map_at_1000
-      value: 58.704
+      value: 59.86
     - type: map_at_3
-      value: 56.95
+      value: 58.083
     - type: map_at_5
-      value: 57.605
+      value: 58.743
     - type: mrr_at_1
-      value: 52.5
+      value: 54.2
     - type: mrr_at_10
-      value: 58.11300000000001
+      value: 59.269000000000005
     - type: mrr_at_100
-      value: 58.64
+      value: 59.853
     - type: mrr_at_1000
-      value: 58.695
+      value: 59.902
     - type: mrr_at_3
-      value: 56.916999999999994
+      value: 58.099999999999994
     - type: mrr_at_5
-      value: 57.597
+      value: 58.785
     - type: ndcg_at_1
-      value: 52.5
+      value: 54.1
     - type: ndcg_at_10
-      value: 60.79900000000001
+      value: 61.732
     - type: ndcg_at_100
-      value: 63.63799999999999
+      value: 64.832
     - type: ndcg_at_1000
-      value: 65.168
+      value: 66.277
     - type: ndcg_at_3
-      value: 58.353
+      value: 59.372
     - type: ndcg_at_5
-      value: 59.541
+      value: 60.56399999999999
     - type: precision_at_1
-      value: 52.5
+      value: 54.1
     - type: precision_at_10
-      value: 6.92
+      value: 6.959999999999999
     - type: precision_at_100
-      value: 0.831
+      value: 0.847
     - type: precision_at_1000
-      value: 0.095
+      value: 0.096
     - type: precision_at_3
-      value: 20.8
+      value: 21.032999999999998
     - type: precision_at_5
-      value: 13.059999999999999
+      value: 13.200000000000001
     - type: recall_at_1
-      value: 52.5
+      value: 54.1
     - type: recall_at_10
-      value: 69.19999999999999
+      value: 69.6
     - type: recall_at_100
-      value: 83.1
+      value: 84.7
     - type: recall_at_1000
-      value: 95.3
+      value: 96.39999999999999
     - type: recall_at_3
-      value: 62.4
+      value: 63.1
     - type: recall_at_5
-      value: 65.3
+      value: 66.0
+  - task:
+      type: Reranking
+    dataset:
+      type: C-MTEB/Mmarco-reranking
+      name: MTEB MMarcoReranking
+      config: default
+      split: dev
+      revision: None
+    metrics:
+    - type: map
+      value: 33.548800108363665
+    - type: mrr
+      value: 32.529761904761905
   - task:
       type: Reranking
     dataset:
@@ -474,9 +474,9 @@ model-index:
       revision: None
     metrics:
     - type: map
-      value: 68.84678245613873
+      value: 69.43381583724414
     - type: mrr
-      value: 79.8603319684904
+      value: 80.47879657392181
   - task:
       type: Retrieval
     dataset:
@@ -487,65 +487,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 27.750000000000004
+      value: 27.72
     - type: map_at_10
-      value: 78.97
+      value: 79.07300000000001
     - type: map_at_100
-      value: 82.527
+      value: 82.636
     - type: map_at_1000
-      value: 82.583
+      value: 82.68799999999999
     - type: map_at_3
-      value: 55.312
+      value: 55.276
     - type: map_at_5
-      value: 68.125
+      value: 68.13900000000001
     - type: mrr_at_1
-      value: 90.904
+      value: 90.834
     - type: mrr_at_10
-      value: 93.229
+      value: 93.215
     - type: mrr_at_100
-      value: 93.305
+      value: 93.28800000000001
     - type: mrr_at_1000
-      value: 93.309
+      value: 93.291
     - type: mrr_at_3
-      value: 92.85799999999999
+      value: 92.83200000000001
     - type: mrr_at_5
-      value: 93.095
+      value: 93.072
     - type: ndcg_at_1
-      value: 90.904
+      value: 90.834
     - type: ndcg_at_10
-      value: 86.143
+      value: 86.26899999999999
     - type: ndcg_at_100
-      value: 89.434
+      value: 89.538
     - type: ndcg_at_1000
-      value: 89.973
+      value: 90.042
     - type: ndcg_at_3
-      value: 87.356
+      value: 87.333
     - type: ndcg_at_5
-      value: 86.071
+      value: 86.098
     - type: precision_at_1
-      value: 90.904
+      value: 90.834
     - type: precision_at_10
-      value: 42.897999999999996
+      value: 43.009
     - type: precision_at_100
-      value: 5.054
+      value: 5.064
     - type: precision_at_1000
-      value: 0.517
+      value: 0.518
     - type: precision_at_3
-      value: 76.512
+      value: 76.507
     - type: precision_at_5
-      value: 64.267
+      value: 64.30900000000001
     - type: recall_at_1
-      value: 27.750000000000004
+      value: 27.72
     - type: recall_at_10
-      value: 85.153
+      value: 85.439
     - type: recall_at_100
-      value: 96.009
+      value: 96.231
     - type: recall_at_1000
-      value: 98.807
+      value: 98.844
     - type: recall_at_3
-      value: 56.979
+      value: 56.991
     - type: recall_at_5
-      value: 71.377
+      value: 71.48299999999999
   - task:
       type: Retrieval
     dataset:
@@ -556,65 +556,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 64.4
+      value: 64.3
     - type: map_at_10
-      value: 73.506
+      value: 73.585
     - type: map_at_100
-      value: 73.87700000000001
+      value: 73.935
     - type: map_at_1000
-      value: 73.884
+      value: 73.941
     - type: map_at_3
-      value: 72.033
+      value: 72.3
     - type: map_at_5
-      value: 73.068
+      value: 73.06
     - type: mrr_at_1
-      value: 64.4
+      value: 64.3
     - type: mrr_at_10
-      value: 73.506
+      value: 73.585
     - type: mrr_at_100
-      value: 73.87700000000001
+      value: 73.935
     - type: mrr_at_1000
-      value: 73.884
+      value: 73.941
     - type: mrr_at_3
-      value: 72.033
+      value: 72.3
     - type: mrr_at_5
-      value: 73.068
+      value: 73.06
     - type: ndcg_at_1
-      value: 64.4
+      value: 64.3
     - type: ndcg_at_10
-      value: 77.325
+      value: 77.434
     - type: ndcg_at_100
-      value: 79.171
+      value: 79.225
     - type: ndcg_at_1000
-      value: 79.351
+      value: 79.4
     - type: ndcg_at_3
-      value: 74.421
+      value: 74.824
     - type: ndcg_at_5
-      value: 76.28
+      value: 76.188
     - type: precision_at_1
-      value: 64.4
+      value: 64.3
     - type: precision_at_10
-      value: 8.9
+      value: 8.92
     - type: precision_at_100
       value: 0.9769999999999999
     - type: precision_at_1000
       value: 0.099
     - type: precision_at_3
-      value: 27.1
+      value: 27.367
     - type: precision_at_5
-      value: 17.16
+      value: 17.080000000000002
     - type: recall_at_1
-      value: 64.4
+      value: 64.3
     - type: recall_at_10
-      value: 89.0
+      value: 89.2
     - type: recall_at_100
       value: 97.7
     - type: recall_at_1000
       value: 99.1
     - type: recall_at_3
-      value: 81.3
+      value: 82.1
     - type: recall_at_5
-      value: 85.8
+      value: 85.39999999999999
 ---
 license: apache-2.0
 library_name: transformers