cross-encoder/quora-roberta-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/quora-roberta-base
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2026-05-13 16:49:38 +08:00
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epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average_Precision
0,5000,0.8608639203700198,0.2873433232307434,0.8098558473933306,0.19083455204963684,0.7614130434782609,0.8648815495022764,0.8629331317298123
0,10000,0.863839225338779,0.25037556886672974,0.8119228437979106,0.12073762714862823,0.7546394485683987,0.8786171772513311,0.8678734374248867
0,15000,0.8680587487490194,0.2262679636478424,0.8200071968333933,0.11036892235279083,0.7682556806688693,0.8792345088355583,0.875549687970233
0,20000,0.8685456168348165,0.20787009596824646,0.8190316830962862,0.12376940995454788,0.7747041012936967,0.8687398719036963,0.8764299796079794
0,25000,0.8720077898893728,0.3845294713973999,0.8250813155041562,0.2559159994125366,0.7759499694106451,0.8808550042441546,0.8833998414872404
0,30000,0.8729815260609667,0.5238280296325684,0.8255852051403401,0.3320024907588959,0.781461061337009,0.8749903541939964,0.878249009917573
0,-1,0.8710611019447675,0.4382350444793701,0.8225952648562416,0.149741068482399,0.7758172616605116,0.8753761864341384,0.8821009813520877
1,5000,0.8723864650672148,0.13579325377941132,0.8250017981730562,0.046766698360443115,0.772546642419344,0.8850991588857164,0.8772769680139632
1,10000,0.8706012820859592,0.17663632333278656,0.8243606757289911,0.04282882809638977,0.7701380511995711,0.8867968207423412,0.8717299987211413
1,15000,0.8711963430797112,0.062239423394203186,0.8229883392482075,0.025501983240246773,0.775366769020812,0.876842348946678,0.88006993940756
1,20000,0.8719266452084066,0.03155897557735443,0.8244302380178423,0.010280131362378597,0.7749185225420967,0.8807006713480978,0.8812910141874843
1,25000,0.8726028508831246,0.03645790368318558,0.8253768844221104,0.03082387149333954,0.7918468628146047,0.8618720580291689,0.8816145619414946
1,30000,0.8732249601038652,0.03989178314805031,0.8268535595721136,0.029114533215761185,0.7920288318846724,0.8648815495022764,0.8793008086700131
1,-1,0.8735765870547185,0.05718168243765831,0.8270970543533329,0.018996555358171463,0.7787393526405452,0.8818581680685238,0.8779853764105872
1 epoch steps Accuracy Accuracy_Threshold F1 F1_Threshold Precision Recall Average_Precision
2 0 5000 0.8608639203700198 0.2873433232307434 0.8098558473933306 0.19083455204963684 0.7614130434782609 0.8648815495022764 0.8629331317298123
3 0 10000 0.863839225338779 0.25037556886672974 0.8119228437979106 0.12073762714862823 0.7546394485683987 0.8786171772513311 0.8678734374248867
4 0 15000 0.8680587487490194 0.2262679636478424 0.8200071968333933 0.11036892235279083 0.7682556806688693 0.8792345088355583 0.875549687970233
5 0 20000 0.8685456168348165 0.20787009596824646 0.8190316830962862 0.12376940995454788 0.7747041012936967 0.8687398719036963 0.8764299796079794
6 0 25000 0.8720077898893728 0.3845294713973999 0.8250813155041562 0.2559159994125366 0.7759499694106451 0.8808550042441546 0.8833998414872404
7 0 30000 0.8729815260609667 0.5238280296325684 0.8255852051403401 0.3320024907588959 0.781461061337009 0.8749903541939964 0.878249009917573
8 0 -1 0.8710611019447675 0.4382350444793701 0.8225952648562416 0.149741068482399 0.7758172616605116 0.8753761864341384 0.8821009813520877
9 1 5000 0.8723864650672148 0.13579325377941132 0.8250017981730562 0.046766698360443115 0.772546642419344 0.8850991588857164 0.8772769680139632
10 1 10000 0.8706012820859592 0.17663632333278656 0.8243606757289911 0.04282882809638977 0.7701380511995711 0.8867968207423412 0.8717299987211413
11 1 15000 0.8711963430797112 0.062239423394203186 0.8229883392482075 0.025501983240246773 0.775366769020812 0.876842348946678 0.88006993940756
12 1 20000 0.8719266452084066 0.03155897557735443 0.8244302380178423 0.010280131362378597 0.7749185225420967 0.8807006713480978 0.8812910141874843
13 1 25000 0.8726028508831246 0.03645790368318558 0.8253768844221104 0.03082387149333954 0.7918468628146047 0.8618720580291689 0.8816145619414946
14 1 30000 0.8732249601038652 0.03989178314805031 0.8268535595721136 0.029114533215761185 0.7920288318846724 0.8648815495022764 0.8793008086700131
15 1 -1 0.8735765870547185 0.05718168243765831 0.8270970543533329 0.018996555358171463 0.7787393526405452 0.8818581680685238 0.8779853764105872