cross-encoder/quora-roberta-large
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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/quora-roberta-large
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ModelHub XC
2026-05-13 17:04:38 +08:00
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epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average_Precision
0,5000,0.8683833274728842,0.5240041017532349,0.8198757763975154,0.3768240511417389,0.7744990392533626,0.8709005324484914,0.8731992606250942
0,10000,0.8685997132887939,0.6672844886779785,0.8178615982974976,0.4671083688735962,0.7796432318992654,0.8600200632764874,0.8729835294247004
0,15000,0.867139109031403,0.1811354160308838,0.8167750946447605,0.10655976086854935,0.7798287478944413,0.8573964040435219,0.8630894015038928
0,20000,0.8652457331421926,0.5867656469345093,0.810907497992261,0.042630940675735474,0.7694492552823,0.8570877382514083,0.8491018647322772
0,25000,0.8699791728652186,0.19235554337501526,0.8189171463965605,0.11564554274082184,0.7757299647960241,0.8671965429431283,0.8779901051208325
0,30000,0.8738470693246058,0.1700415164232254,0.8265335858953811,0.12816089391708374,0.7827916925412268,0.8754533528821669,0.880091749112012
0,-1,0.8736036352817073,0.24405449628829956,0.8273541780947156,0.17230889201164246,0.7863200333657723,0.8729068600972297,0.8822842182205346
1,5000,0.8749830948581321,0.18700861930847168,0.8258481907771007,0.1650511920452118,0.8056065164746459,0.847133266455745,0.8808449128337521
1,10000,0.8773362906061508,0.056389499455690384,0.8286927441475971,0.05023118108510971,0.8076021678628973,0.8509144224091365,0.8806352233982097
1,15000,0.8772551459251846,0.08140122890472412,0.8288128056914184,0.040914058685302734,0.7972057880105495,0.8630295547495949,0.8724934608981681
1,20000,0.876146168618647,0.02961307018995285,0.8269898751016186,0.008039627224206924,0.7934482025101043,0.8634925534377652,0.8820982567462179
1,25000,0.8766871331584215,0.018407132476568222,0.8281409975135293,0.006738942116498947,0.7869900618528042,0.8738328574735705,0.8403278253386028
1,30000,0.8772551459251846,0.03199715167284012,0.8317026152111446,0.014339910820126534,0.7866382276042383,0.8822440003086658,0.8802174694024198
1,-1,0.8785534608206432,0.03839807212352753,0.8313170836773521,0.012577023357152939,0.7772184185796751,0.8935103017208118,0.8790503615896275
1 epoch steps Accuracy Accuracy_Threshold F1 F1_Threshold Precision Recall Average_Precision
2 0 5000 0.8683833274728842 0.5240041017532349 0.8198757763975154 0.3768240511417389 0.7744990392533626 0.8709005324484914 0.8731992606250942
3 0 10000 0.8685997132887939 0.6672844886779785 0.8178615982974976 0.4671083688735962 0.7796432318992654 0.8600200632764874 0.8729835294247004
4 0 15000 0.867139109031403 0.1811354160308838 0.8167750946447605 0.10655976086854935 0.7798287478944413 0.8573964040435219 0.8630894015038928
5 0 20000 0.8652457331421926 0.5867656469345093 0.810907497992261 0.042630940675735474 0.7694492552823 0.8570877382514083 0.8491018647322772
6 0 25000 0.8699791728652186 0.19235554337501526 0.8189171463965605 0.11564554274082184 0.7757299647960241 0.8671965429431283 0.8779901051208325
7 0 30000 0.8738470693246058 0.1700415164232254 0.8265335858953811 0.12816089391708374 0.7827916925412268 0.8754533528821669 0.880091749112012
8 0 -1 0.8736036352817073 0.24405449628829956 0.8273541780947156 0.17230889201164246 0.7863200333657723 0.8729068600972297 0.8822842182205346
9 1 5000 0.8749830948581321 0.18700861930847168 0.8258481907771007 0.1650511920452118 0.8056065164746459 0.847133266455745 0.8808449128337521
10 1 10000 0.8773362906061508 0.056389499455690384 0.8286927441475971 0.05023118108510971 0.8076021678628973 0.8509144224091365 0.8806352233982097
11 1 15000 0.8772551459251846 0.08140122890472412 0.8288128056914184 0.040914058685302734 0.7972057880105495 0.8630295547495949 0.8724934608981681
12 1 20000 0.876146168618647 0.02961307018995285 0.8269898751016186 0.008039627224206924 0.7934482025101043 0.8634925534377652 0.8820982567462179
13 1 25000 0.8766871331584215 0.018407132476568222 0.8281409975135293 0.006738942116498947 0.7869900618528042 0.8738328574735705 0.8403278253386028
14 1 30000 0.8772551459251846 0.03199715167284012 0.8317026152111446 0.014339910820126534 0.7866382276042383 0.8822440003086658 0.8802174694024198
15 1 -1 0.8785534608206432 0.03839807212352753 0.8313170836773521 0.012577023357152939 0.7772184185796751 0.8935103017208118 0.8790503615896275