cross-encoder/ms-marco-electra-base
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初始化项目，由ModelHub XC社区提供模型

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Model: cross-encoder/ms-marco-electra-base
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ModelHub XC
2026-05-13 16:23:55 +08:00
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epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average_Precision
0,5000,0.9297070292970703,0.25256121158599854,0.8307839388145314,0.19771124422550201,0.7957875457875457,0.869,0.8904110467492587
0,10000,0.939006099390061,0.5306986570358276,0.8460807600950118,0.28808051347732544,0.8058823529411765,0.8905,0.910544278892506
0,15000,0.9393060693930607,0.5750397443771362,0.8566081871345029,0.48249387741088867,0.8048351648351648,0.9155,0.9132147986720082
0,20000,0.9405059494050595,0.591253936290741,0.8546298558514537,0.570050835609436,0.8356426182513139,0.8745,0.9073685536522613
0,25000,0.9436056394360564,0.5074090957641602,0.8603960396039605,0.5057582855224609,0.8519607843137255,0.869,0.9167379821993755
0,30000,0.9396060393960604,0.8262588381767273,0.8542471042471043,0.7406325340270996,0.8255597014925373,0.885,0.8979176130668384
0,35000,0.9425057494250575,0.46686679124832153,0.8596070915189268,0.28302955627441406,0.8252069917203312,0.897,0.9163289965092976
0,40000,0.9417058294170583,0.6763133406639099,0.8575602629656682,0.6603987216949463,0.8357854769814903,0.8805,0.9173776247925393
0,45000,0.9426057394260574,0.4643915295600891,0.8605042016806723,0.29147765040397644,0.8277136258660508,0.896,0.9120726077810245
0,50000,0.945005499450055,0.5493776798248291,0.8624535315985131,0.4713650643825531,0.855036855036855,0.87,0.9209400105864155
0,55000,0.9454054594540546,0.6156725287437439,0.864585893339887,0.5604670643806458,0.8501691638472693,0.8795,0.9206262233464874
0,60000,0.9421057894210579,0.39554399251937866,0.8605827112930412,0.3811936378479004,0.8300046446818393,0.8935,0.9193948306076224
0,65000,0.9428057194280572,0.5363738536834717,0.8629682313892841,0.32784485816955566,0.8205590622182146,0.91,0.9227492855045069
0,70000,0.9438056194380562,0.38333064317703247,0.8628501827040195,0.3524332344532013,0.8413301662707838,0.8855,0.9236299441431376
0,75000,0.9468053194680532,0.48936331272125244,0.8696717295443409,0.48936331272125244,0.8525456292026897,0.8875,0.9254413650794524
0,80000,0.9454054594540546,0.3127445578575134,0.8651851851851852,0.3127445578575134,0.8546341463414634,0.876,0.9213706944185774
0,85000,0.9443055694430557,0.31547677516937256,0.8655280250180418,0.21403872966766357,0.8340287436254057,0.8995,0.9237103419372517
0,90000,0.9465053494650535,0.3857932686805725,0.8702401164200824,0.3761560022830963,0.8450306170513424,0.897,0.9258501989030058
0,95000,0.9453054694530547,0.3604514002799988,0.8669713735867213,0.29048818349838257,0.8354195642095503,0.901,0.9226658871253511
0,100000,0.9453054694530547,0.6748594045639038,0.8686288585786074,0.4552273154258728,0.8329508949059201,0.9075,0.9252677323330876
0,105000,0.9435056494350565,0.40062007308006287,0.8639551192145862,0.1210024282336235,0.8112379280070237,0.924,0.9237990563267019
0,110000,0.944905509449055,0.4197750985622406,0.8656429942418427,0.27975988388061523,0.8321033210332104,0.902,0.9247201058651281
0,115000,0.9464053594640536,0.4172205924987793,0.8698167791706846,0.2961992919445038,0.839851024208566,0.902,0.927117403879296
0,120000,0.9474052594740526,0.44686269760131836,0.8712047012732614,0.4383932948112488,0.8536468330134357,0.8895,0.9279628711835812
0,125000,0.945005499450055,0.4358792304992676,0.8655339805825243,0.28539055585861206,0.8410377358490566,0.8915,0.9268525722856882
0,130000,0.9462053794620537,0.21194982528686523,0.8703747911195989,0.16292141377925873,0.8328003654636821,0.9115,0.925512309638313
0,135000,0.9454054594540546,0.2292814701795578,0.8678621991505427,0.11477036774158478,0.82171581769437,0.9195,0.9268551457216524
0,140000,0.9482051794820517,0.31556186079978943,0.8758076094759513,0.26744428277015686,0.8398347865993575,0.915,0.9275073681003255
0,145000,0.9478052194780522,0.3485147953033447,0.8719556305763203,0.12995882332324982,0.8421052631578947,0.904,0.9278250006342896
0,150000,0.9483051694830517,0.32228657603263855,0.8726037369570493,0.21710461378097534,0.8477133427628477,0.899,0.9259328370035781
0,155000,0.9474052594740526,0.1903868019580841,0.8731307284129282,0.18298938870429993,0.8434296365330848,0.905,0.9261096325445609
0,160000,0.9473052694730527,0.5740681886672974,0.872194660996929,0.17134147882461548,0.8266905508284819,0.923,0.927973529121574
0,165000,0.9495050494950505,0.38968273997306824,0.87591956841589,0.34622055292129517,0.8594802694898941,0.893,0.9241440163389828
0,170000,0.9459054094590541,0.47478723526000977,0.8706669854171647,0.11328981816768646,0.8341731562070546,0.9105,0.9289979858500923
0,175000,0.9473052694730527,0.5903739929199219,0.8703747911195989,0.15506823360919952,0.8328003654636821,0.9115,0.9305074303915251
0,180000,0.9463053694630537,0.23235449194908142,0.8702585165498912,0.23235449194908142,0.841982234689107,0.9005,0.9291547676197442
0,185000,0.9478052194780522,0.174373060464859,0.8734852157052836,0.171615868806839,0.8476011288805269,0.901,0.9280170204346545
0,190000,0.949005099490051,0.5715193748474121,0.8747241971071341,0.5108739137649536,0.8581048581048581,0.892,0.9271410745170057
0,195000,0.9461053894610539,0.5194154977798462,0.8679334916864608,0.170893132686615,0.8266968325791855,0.9135,0.9271023702066649
0,200000,0.9468053194680532,0.3094758987426758,0.8707931277947754,0.11578939855098724,0.82258781680747,0.925,0.9290083868621436
0,205000,0.9461053894610539,0.6028298139572144,0.8679067577113257,0.13052904605865479,0.8202047174009791,0.9215,0.9276186176796931
0,210000,0.9459054094590541,0.49049288034439087,0.8694616484040019,0.16249723732471466,0.8303002729754322,0.9125,0.9285170114050436
1 epoch steps Accuracy Accuracy_Threshold F1 F1_Threshold Precision Recall Average_Precision
2 0 5000 0.9297070292970703 0.25256121158599854 0.8307839388145314 0.19771124422550201 0.7957875457875457 0.869 0.8904110467492587
3 0 10000 0.939006099390061 0.5306986570358276 0.8460807600950118 0.28808051347732544 0.8058823529411765 0.8905 0.910544278892506
4 0 15000 0.9393060693930607 0.5750397443771362 0.8566081871345029 0.48249387741088867 0.8048351648351648 0.9155 0.9132147986720082
5 0 20000 0.9405059494050595 0.591253936290741 0.8546298558514537 0.570050835609436 0.8356426182513139 0.8745 0.9073685536522613
6 0 25000 0.9436056394360564 0.5074090957641602 0.8603960396039605 0.5057582855224609 0.8519607843137255 0.869 0.9167379821993755
7 0 30000 0.9396060393960604 0.8262588381767273 0.8542471042471043 0.7406325340270996 0.8255597014925373 0.885 0.8979176130668384
8 0 35000 0.9425057494250575 0.46686679124832153 0.8596070915189268 0.28302955627441406 0.8252069917203312 0.897 0.9163289965092976
9 0 40000 0.9417058294170583 0.6763133406639099 0.8575602629656682 0.6603987216949463 0.8357854769814903 0.8805 0.9173776247925393
10 0 45000 0.9426057394260574 0.4643915295600891 0.8605042016806723 0.29147765040397644 0.8277136258660508 0.896 0.9120726077810245
11 0 50000 0.945005499450055 0.5493776798248291 0.8624535315985131 0.4713650643825531 0.855036855036855 0.87 0.9209400105864155
12 0 55000 0.9454054594540546 0.6156725287437439 0.864585893339887 0.5604670643806458 0.8501691638472693 0.8795 0.9206262233464874
13 0 60000 0.9421057894210579 0.39554399251937866 0.8605827112930412 0.3811936378479004 0.8300046446818393 0.8935 0.9193948306076224
14 0 65000 0.9428057194280572 0.5363738536834717 0.8629682313892841 0.32784485816955566 0.8205590622182146 0.91 0.9227492855045069
15 0 70000 0.9438056194380562 0.38333064317703247 0.8628501827040195 0.3524332344532013 0.8413301662707838 0.8855 0.9236299441431376
16 0 75000 0.9468053194680532 0.48936331272125244 0.8696717295443409 0.48936331272125244 0.8525456292026897 0.8875 0.9254413650794524
17 0 80000 0.9454054594540546 0.3127445578575134 0.8651851851851852 0.3127445578575134 0.8546341463414634 0.876 0.9213706944185774
18 0 85000 0.9443055694430557 0.31547677516937256 0.8655280250180418 0.21403872966766357 0.8340287436254057 0.8995 0.9237103419372517
19 0 90000 0.9465053494650535 0.3857932686805725 0.8702401164200824 0.3761560022830963 0.8450306170513424 0.897 0.9258501989030058
20 0 95000 0.9453054694530547 0.3604514002799988 0.8669713735867213 0.29048818349838257 0.8354195642095503 0.901 0.9226658871253511
21 0 100000 0.9453054694530547 0.6748594045639038 0.8686288585786074 0.4552273154258728 0.8329508949059201 0.9075 0.9252677323330876
22 0 105000 0.9435056494350565 0.40062007308006287 0.8639551192145862 0.1210024282336235 0.8112379280070237 0.924 0.9237990563267019
23 0 110000 0.944905509449055 0.4197750985622406 0.8656429942418427 0.27975988388061523 0.8321033210332104 0.902 0.9247201058651281
24 0 115000 0.9464053594640536 0.4172205924987793 0.8698167791706846 0.2961992919445038 0.839851024208566 0.902 0.927117403879296
25 0 120000 0.9474052594740526 0.44686269760131836 0.8712047012732614 0.4383932948112488 0.8536468330134357 0.8895 0.9279628711835812
26 0 125000 0.945005499450055 0.4358792304992676 0.8655339805825243 0.28539055585861206 0.8410377358490566 0.8915 0.9268525722856882
27 0 130000 0.9462053794620537 0.21194982528686523 0.8703747911195989 0.16292141377925873 0.8328003654636821 0.9115 0.925512309638313
28 0 135000 0.9454054594540546 0.2292814701795578 0.8678621991505427 0.11477036774158478 0.82171581769437 0.9195 0.9268551457216524
29 0 140000 0.9482051794820517 0.31556186079978943 0.8758076094759513 0.26744428277015686 0.8398347865993575 0.915 0.9275073681003255
30 0 145000 0.9478052194780522 0.3485147953033447 0.8719556305763203 0.12995882332324982 0.8421052631578947 0.904 0.9278250006342896
31 0 150000 0.9483051694830517 0.32228657603263855 0.8726037369570493 0.21710461378097534 0.8477133427628477 0.899 0.9259328370035781
32 0 155000 0.9474052594740526 0.1903868019580841 0.8731307284129282 0.18298938870429993 0.8434296365330848 0.905 0.9261096325445609
33 0 160000 0.9473052694730527 0.5740681886672974 0.872194660996929 0.17134147882461548 0.8266905508284819 0.923 0.927973529121574
34 0 165000 0.9495050494950505 0.38968273997306824 0.87591956841589 0.34622055292129517 0.8594802694898941 0.893 0.9241440163389828
35 0 170000 0.9459054094590541 0.47478723526000977 0.8706669854171647 0.11328981816768646 0.8341731562070546 0.9105 0.9289979858500923
36 0 175000 0.9473052694730527 0.5903739929199219 0.8703747911195989 0.15506823360919952 0.8328003654636821 0.9115 0.9305074303915251
37 0 180000 0.9463053694630537 0.23235449194908142 0.8702585165498912 0.23235449194908142 0.841982234689107 0.9005 0.9291547676197442
38 0 185000 0.9478052194780522 0.174373060464859 0.8734852157052836 0.171615868806839 0.8476011288805269 0.901 0.9280170204346545
39 0 190000 0.949005099490051 0.5715193748474121 0.8747241971071341 0.5108739137649536 0.8581048581048581 0.892 0.9271410745170057
40 0 195000 0.9461053894610539 0.5194154977798462 0.8679334916864608 0.170893132686615 0.8266968325791855 0.9135 0.9271023702066649
41 0 200000 0.9468053194680532 0.3094758987426758 0.8707931277947754 0.11578939855098724 0.82258781680747 0.925 0.9290083868621436
42 0 205000 0.9461053894610539 0.6028298139572144 0.8679067577113257 0.13052904605865479 0.8202047174009791 0.9215 0.9276186176796931
43 0 210000 0.9459054094590541 0.49049288034439087 0.8694616484040019 0.16249723732471466 0.8303002729754322 0.9125 0.9285170114050436