Update README.md

README.md

@@ -14,65 +14,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.925
+      value: 29.012
     - type: map_at_10
-      value: 41.91
+      value: 41.998000000000005
     - type: map_at_100
-      value: 43.711
+      value: 43.821
     - type: map_at_1000
-      value: 43.817
+      value: 43.924
     - type: map_at_3
-      value: 37.771
+      value: 37.804
     - type: map_at_5
-      value: 39.963
+      value: 40.025
     - type: mrr_at_1
-      value: 43.211
+      value: 43.536
     - type: mrr_at_10
-      value: 51.162
+      value: 51.413
     - type: mrr_at_100
-      value: 52.077
+      value: 52.329
     - type: mrr_at_1000
-      value: 52.114000000000004
+      value: 52.366
     - type: mrr_at_3
-      value: 48.862
+      value: 49.058
     - type: mrr_at_5
-      value: 50.051
+      value: 50.291
     - type: ndcg_at_1
-      value: 43.211
+      value: 43.536
     - type: ndcg_at_10
-      value: 48.556
+      value: 48.693
     - type: ndcg_at_100
-      value: 55.479
+      value: 55.644000000000005
     - type: ndcg_at_1000
-      value: 57.223
+      value: 57.354000000000006
     - type: ndcg_at_3
-      value: 43.534
+      value: 43.627
     - type: ndcg_at_5
-      value: 45.338
+      value: 45.462
     - type: precision_at_1
-      value: 43.211
+      value: 43.536
     - type: precision_at_10
-      value: 10.473
+      value: 10.552999999999999
     - type: precision_at_100
-      value: 1.6179999999999999
+      value: 1.624
     - type: precision_at_1000
       value: 0.184
     - type: precision_at_3
-      value: 24.298000000000002
+      value: 24.314
     - type: precision_at_5
-      value: 17.124
+      value: 17.299
     - type: recall_at_1
-      value: 28.925
+      value: 29.012
     - type: recall_at_10
-      value: 59.03699999999999
+      value: 59.123000000000005
     - type: recall_at_100
-      value: 87.56
+      value: 87.783
     - type: recall_at_1000
-      value: 99.035
+      value: 99.078
     - type: recall_at_3
-      value: 43.376
+      value: 43.474000000000004
     - type: recall_at_5
-      value: 49.527
+      value: 49.557
   - task:
       type: Retrieval
     dataset:
@@ -83,65 +83,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 72.418
+      value: 73.235
     - type: map_at_10
-      value: 80.291
+      value: 80.87100000000001
     - type: map_at_100
-      value: 80.542
+      value: 81.10300000000001
     - type: map_at_1000
-      value: 80.54299999999999
+      value: 81.105
     - type: map_at_3
-      value: 78.723
+      value: 79.171
     - type: map_at_5
-      value: 79.569
+      value: 80.163
     - type: mrr_at_1
-      value: 72.603
+      value: 73.235
     - type: mrr_at_10
-      value: 80.345
+      value: 80.80000000000001
     - type: mrr_at_100
-      value: 80.586
+      value: 81.024
     - type: mrr_at_1000
-      value: 80.58800000000001
+      value: 81.026
     - type: mrr_at_3
-      value: 78.837
+      value: 79.15299999999999
     - type: mrr_at_5
-      value: 79.696
+      value: 80.133
     - type: ndcg_at_1
-      value: 72.603
+      value: 73.34
     - type: ndcg_at_10
-      value: 83.86099999999999
+      value: 84.387
     - type: ndcg_at_100
-      value: 84.916
+      value: 85.348
     - type: ndcg_at_1000
-      value: 84.978
+      value: 85.411
     - type: ndcg_at_3
-      value: 80.692
+      value: 80.97
     - type: ndcg_at_5
-      value: 82.184
+      value: 82.757
     - type: precision_at_1
-      value: 72.603
+      value: 73.34
     - type: precision_at_10
-      value: 9.589
+      value: 9.631
     - type: precision_at_100
       value: 1.005
     - type: precision_at_1000
       value: 0.101
     - type: precision_at_3
-      value: 28.908
+      value: 28.837000000000003
     - type: precision_at_5
-      value: 18.102999999999998
+      value: 18.209
     - type: recall_at_1
-      value: 72.418
+      value: 73.235
     - type: recall_at_10
-      value: 94.889
+      value: 95.311
     - type: recall_at_100
       value: 99.473
     - type: recall_at_1000
       value: 100
     - type: recall_at_3
-      value: 86.222
+      value: 86.091
     - type: recall_at_5
-      value: 89.779
+      value: 90.411
   - task:
       type: Retrieval
     dataset:
@@ -152,65 +152,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.301
+      value: 28.059
     - type: map_at_10
-      value: 85.844
+      value: 85.309
     - type: map_at_100
-      value: 88.431
+      value: 87.926
     - type: map_at_1000
-      value: 88.44999999999999
+      value: 87.945
     - type: map_at_3
-      value: 60.143
+      value: 59.862
     - type: map_at_5
-      value: 75.848
+      value: 75.345
     - type: mrr_at_1
-      value: 94.1
+      value: 93.30000000000001
     - type: mrr_at_10
-      value: 96.133
+      value: 95.624
     - type: mrr_at_100
-      value: 96.16
+      value: 95.647
     - type: mrr_at_1000
-      value: 96.162
+      value: 95.649
     - type: mrr_at_3
-      value: 95.958
+      value: 95.42500000000001
     - type: mrr_at_5
-      value: 96.086
+      value: 95.572
     - type: ndcg_at_1
-      value: 94.1
+      value: 93.30000000000001
     - type: ndcg_at_10
-      value: 91.74
+      value: 91.338
     - type: ndcg_at_100
-      value: 93.723
+      value: 93.38
     - type: ndcg_at_1000
-      value: 93.89999999999999
+      value: 93.57
     - type: ndcg_at_3
-      value: 90.867
+      value: 90.512
     - type: ndcg_at_5
-      value: 90.098
+      value: 89.617
     - type: precision_at_1
-      value: 94.1
+      value: 93.30000000000001
     - type: precision_at_10
-      value: 43.245
+      value: 43.169999999999995
     - type: precision_at_100
-      value: 4.87
+      value: 4.868
     - type: precision_at_1000
       value: 0.49100000000000005
     - type: precision_at_3
-      value: 80.783
+      value: 80.7
     - type: precision_at_5
-      value: 68.42
+      value: 68.12
     - type: recall_at_1
-      value: 28.301
+      value: 28.059
     - type: recall_at_10
-      value: 92.167
+      value: 91.949
     - type: recall_at_100
-      value: 98.819
+      value: 98.777
     - type: recall_at_1000
-      value: 99.802
+      value: 99.816
     - type: recall_at_3
-      value: 61.894000000000005
+      value: 61.699000000000005
     - type: recall_at_5
-      value: 79.417
+      value: 79.134
   - task:
       type: Retrieval
     dataset:
@@ -221,65 +221,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 58.3
+      value: 57.599999999999994
     - type: map_at_10
-      value: 67.394
+      value: 67.169
     - type: map_at_100
-      value: 67.892
+      value: 67.654
     - type: map_at_1000
-      value: 67.902
+      value: 67.663
     - type: map_at_3
-      value: 64.983
+      value: 64.833
     - type: map_at_5
-      value: 66.52799999999999
+      value: 66.298
     - type: mrr_at_1
-      value: 58.3
+      value: 57.599999999999994
     - type: mrr_at_10
-      value: 67.394
+      value: 67.169
     - type: mrr_at_100
-      value: 67.892
+      value: 67.654
     - type: mrr_at_1000
-      value: 67.902
+      value: 67.663
     - type: mrr_at_3
-      value: 64.983
+      value: 64.833
     - type: mrr_at_5
-      value: 66.52799999999999
+      value: 66.298
     - type: ndcg_at_1
-      value: 58.3
+      value: 57.599999999999994
     - type: ndcg_at_10
-      value: 72.04899999999999
+      value: 71.95899999999999
     - type: ndcg_at_100
-      value: 74.22800000000001
+      value: 74.092
     - type: ndcg_at_1000
-      value: 74.44
+      value: 74.323
     - type: ndcg_at_3
-      value: 67.194
+      value: 67.212
     - type: ndcg_at_5
-      value: 69.987
+      value: 69.892
     - type: precision_at_1
-      value: 58.3
+      value: 57.599999999999994
     - type: precision_at_10
-      value: 8.67
+      value: 8.7
     - type: precision_at_100
-      value: 0.964
+      value: 0.9650000000000001
     - type: precision_at_1000
       value: 0.098
     - type: precision_at_3
-      value: 24.532999999999998
+      value: 24.7
     - type: precision_at_5
-      value: 16.08
+      value: 16.14
     - type: recall_at_1
-      value: 58.3
+      value: 57.599999999999994
     - type: recall_at_10
-      value: 86.7
+      value: 87
     - type: recall_at_100
-      value: 96.39999999999999
+      value: 96.5
     - type: recall_at_1000
-      value: 98
+      value: 98.3
     - type: recall_at_3
-      value: 73.6
+      value: 74.1
     - type: recall_at_5
-      value: 80.4
+      value: 80.7
   - task:
       type: Retrieval
     dataset:
@@ -290,65 +290,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 72.82600000000001
+      value: 72.858
     - type: map_at_10
-      value: 81.514
+      value: 81.559
     - type: map_at_100
-      value: 81.761
+      value: 81.808
     - type: map_at_1000
-      value: 81.766
+      value: 81.813
     - type: map_at_3
-      value: 79.92
+      value: 80.018
     - type: map_at_5
-      value: 80.96900000000001
+      value: 81.04299999999999
     - type: mrr_at_1
-      value: 75.18599999999999
+      value: 75.27199999999999
     - type: mrr_at_10
-      value: 81.934
+      value: 81.989
     - type: mrr_at_100
-      value: 82.146
+      value: 82.202
     - type: mrr_at_1000
-      value: 82.15
+      value: 82.206
     - type: mrr_at_3
-      value: 80.559
+      value: 80.647
     - type: mrr_at_5
-      value: 81.458
+      value: 81.53399999999999
     - type: ndcg_at_1
-      value: 75.18599999999999
+      value: 75.27199999999999
     - type: ndcg_at_10
-      value: 84.736
+      value: 84.772
     - type: ndcg_at_100
-      value: 85.748
+      value: 85.79599999999999
     - type: ndcg_at_1000
-      value: 85.879
+      value: 85.925
     - type: ndcg_at_3
-      value: 81.756
+      value: 81.884
     - type: ndcg_at_5
-      value: 83.50800000000001
+      value: 83.60300000000001
     - type: precision_at_1
-      value: 75.18599999999999
+      value: 75.27199999999999
     - type: precision_at_10
-      value: 10.016
+      value: 10.017
     - type: precision_at_100
-      value: 1.05
+      value: 1.051
     - type: precision_at_1000
       value: 0.106
     - type: precision_at_3
-      value: 30.477999999999998
+      value: 30.578
     - type: precision_at_5
-      value: 19.221
+      value: 19.261
     - type: recall_at_1
-      value: 72.82600000000001
+      value: 72.858
     - type: recall_at_10
-      value: 94.191
+      value: 94.197
     - type: recall_at_100
-      value: 98.573
+      value: 98.634
     - type: recall_at_1000
-      value: 99.577
+      value: 99.63499999999999
     - type: recall_at_3
-      value: 86.373
+      value: 86.6
     - type: recall_at_5
-      value: 90.518
+      value: 90.692
   - task:
       type: Retrieval
     dataset:
@@ -359,65 +359,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 56.39999999999999
+      value: 56.2
     - type: map_at_10
-      value: 62.503
+      value: 62.198
     - type: map_at_100
-      value: 63.047
+      value: 62.794000000000004
     - type: map_at_1000
-      value: 63.092000000000006
+      value: 62.829
     - type: map_at_3
-      value: 61.233000000000004
+      value: 60.699999999999996
     - type: map_at_5
-      value: 61.858000000000004
+      value: 61.660000000000004
     - type: mrr_at_1
       value: 56.49999999999999
     - type: mrr_at_10
-      value: 62.553000000000004
+      value: 62.348000000000006
     - type: mrr_at_100
-      value: 63.097
+      value: 62.944
     - type: mrr_at_1000
-      value: 63.141999999999996
+      value: 62.979
     - type: mrr_at_3
-      value: 61.283
+      value: 60.85
     - type: mrr_at_5
-      value: 61.907999999999994
+      value: 61.809999999999995
     - type: ndcg_at_1
-      value: 56.39999999999999
+      value: 56.2
     - type: ndcg_at_10
-      value: 65.446
+      value: 65.19200000000001
     - type: ndcg_at_100
-      value: 68.32000000000001
+      value: 68.341
     - type: ndcg_at_1000
-      value: 69.53099999999999
+      value: 69.392
     - type: ndcg_at_3
-      value: 62.769
+      value: 62.163999999999994
     - type: ndcg_at_5
-      value: 63.909000000000006
+      value: 63.894
     - type: precision_at_1
-      value: 56.39999999999999
+      value: 56.2
     - type: precision_at_10
-      value: 7.470000000000001
+      value: 7.46
     - type: precision_at_100
-      value: 0.886
+      value: 0.899
     - type: precision_at_1000
       value: 0.098
     - type: precision_at_3
-      value: 22.400000000000002
+      value: 22.133
     - type: precision_at_5
-      value: 14.000000000000002
+      value: 14.12
     - type: recall_at_1
-      value: 56.39999999999999
+      value: 56.2
     - type: recall_at_10
-      value: 74.7
+      value: 74.6
     - type: recall_at_100
-      value: 88.6
+      value: 89.9
     - type: recall_at_1000
-      value: 98.2
+      value: 98.4
     - type: recall_at_3
-      value: 67.2
+      value: 66.4
     - type: recall_at_5
-      value: 70
+      value: 70.6
   - task:
       type: Retrieval
     dataset:
@@ -428,65 +428,65 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 28.516000000000002
+      value: 28.79
     - type: map_at_10
-      value: 81.082
+      value: 81.687
     - type: map_at_100
-      value: 84.612
+      value: 85.19200000000001
     - type: map_at_1000
-      value: 84.652
+      value: 85.232
     - type: map_at_3
-      value: 56.665
+      value: 57.145999999999994
     - type: map_at_5
-      value: 69.867
+      value: 70.491
     - type: mrr_at_1
-      value: 91.702
+      value: 92.21000000000001
     - type: mrr_at_10
-      value: 93.96600000000001
+      value: 94.303
     - type: mrr_at_100
-      value: 94.038
+      value: 94.368
     - type: mrr_at_1000
-      value: 94.039
+      value: 94.37
     - type: mrr_at_3
-      value: 93.593
+      value: 93.94500000000001
     - type: mrr_at_5
-      value: 93.82300000000001
+      value: 94.175
     - type: ndcg_at_1
-      value: 91.702
+      value: 92.21000000000001
     - type: ndcg_at_10
-      value: 87.847
+      value: 88.29599999999999
     - type: ndcg_at_100
-      value: 90.914
+      value: 91.268
     - type: ndcg_at_1000
-      value: 91.292
+      value: 91.645
     - type: ndcg_at_3
-      value: 88.47699999999999
+      value: 89.031
     - type: ndcg_at_5
-      value: 87.491
+      value: 88.075
     - type: precision_at_1
-      value: 91.702
+      value: 92.21000000000001
     - type: precision_at_10
-      value: 43.619
+      value: 43.775
     - type: precision_at_100
-      value: 5.096
+      value: 5.097
     - type: precision_at_1000
       value: 0.518
     - type: precision_at_3
-      value: 77.23400000000001
+      value: 77.708
     - type: precision_at_5
-      value: 65.044
+      value: 65.473
     - type: recall_at_1
-      value: 28.516000000000002
+      value: 28.79
     - type: recall_at_10
-      value: 87.176
+      value: 87.457
     - type: recall_at_100
-      value: 97.237
+      value: 97.21499999999999
     - type: recall_at_1000
-      value: 99.17099999999999
+      value: 99.14
     - type: recall_at_3
-      value: 58.217
+      value: 58.606
     - type: recall_at_5
-      value: 73.028
+      value: 73.52300000000001
   - task:
       type: Retrieval
     dataset:
@@ -497,70 +497,71 @@ model-index:
       revision: None
     metrics:
     - type: map_at_1
-      value: 67.10000000000001
+      value: 67
     - type: map_at_10
-      value: 75.541
+      value: 75.44999999999999
     - type: map_at_100
-      value: 75.884
+      value: 75.771
     - type: map_at_1000
-      value: 75.889
+      value: 75.776
     - type: map_at_3
-      value: 73.967
+      value: 73.867
     - type: map_at_5
-      value: 74.98700000000001
+      value: 74.837
     - type: mrr_at_1
-      value: 67.10000000000001
+      value: 67
     - type: mrr_at_10
-      value: 75.541
+      value: 75.44999999999999
     - type: mrr_at_100
-      value: 75.884
+      value: 75.771
     - type: mrr_at_1000
-      value: 75.889
+      value: 75.776
     - type: mrr_at_3
-      value: 73.967
+      value: 73.867
     - type: mrr_at_5
-      value: 74.98700000000001
+      value: 74.837
     - type: ndcg_at_1
-      value: 67.10000000000001
+      value: 67
     - type: ndcg_at_10
-      value: 79.322
+      value: 79.313
     - type: ndcg_at_100
-      value: 80.948
+      value: 80.894
     - type: ndcg_at_1000
-      value: 81.092
+      value: 80.989
     - type: ndcg_at_3
-      value: 76.16199999999999
+      value: 76.08500000000001
     - type: ndcg_at_5
-      value: 78.008
+      value: 77.845
     - type: precision_at_1
-      value: 67.10000000000001
+      value: 67
     - type: precision_at_10
-      value: 9.1
+      value: 9.13
     - type: precision_at_100
-      value: 0.985
+      value: 0.987
     - type: precision_at_1000
-      value: 0.1
+      value: 0.099
     - type: precision_at_3
       value: 27.500000000000004
     - type: precision_at_5
-      value: 17.4
+      value: 17.36
     - type: recall_at_1
-      value: 67.10000000000001
+      value: 67
     - type: recall_at_10
-      value: 91
+      value: 91.3
     - type: recall_at_100
-      value: 98.5
+      value: 98.7
     - type: recall_at_1000
-      value: 99.6
+      value: 99.4
     - type: recall_at_3
       value: 82.5
     - type: recall_at_5
-      value: 87
+      value: 86.8
 license: apache-2.0
 language:
 - zh
+library_name: transformers
 ---
 
 ### Zhihui_LLM_Embedding
 
-More technical details will be updated later.
+More technical details will be updated later.