DeepQuantom-CNN/data/notebook2/vgg_metrics.csv
fly6516 cb15dfb430 train(qccnn): 调整 QCCNN 模型参数并优化训练过程
-调整早停耐心值和学习率调度器参数
- 移除数据集中的缩放变换- 修正训练集和测试集的加载方式
- 优化 RandomQCCNN 和 QCCNN模型结构
- 调整电路深度和输入形状
- 优化 VGG 模型的全连接层大小
2025-06-26 12:02:09 +08:00

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,epoch,train_acc,valid_acc,train_loss,valid_loss
0,1,0.767875,0.8360628342245989,1.753534612496694,1.6362467181873832
1,2,0.8333125,0.8577038770053476,1.6276749771436057,1.6030110356641962
2,3,0.8611875,0.8703208556149733,1.60025262260437,1.5910939386184202
3,4,0.8715833333333334,0.8587065508021391,1.5890283988316853,1.601965536408246
4,5,0.8776041666666666,0.8759191176470589,1.5827694902420044,1.5844863908176117
5,6,0.8843958333333334,0.8757520053475936,1.5761419967015584,1.5849310975661253
6,7,0.88675,0.8812667112299465,1.573840765953064,1.5789309529697193
7,8,0.8909375,0.8832720588235294,1.569781884988149,1.5779090036045422
8,9,0.8903333333333333,0.8875334224598931,1.570390274365743,1.5736284517349406
9,10,0.8941458333333333,0.890625,1.5664398628870646,1.5700276994450206
10,11,0.8940208333333334,0.8915441176470589,1.5668807325363159,1.5694875258175447
11,12,0.8958958333333333,0.8737466577540107,1.5646815473238627,1.5868047845554862
12,13,0.8980625,0.8921290106951871,1.5629661572774252,1.5691035067971377
13,14,0.900625,0.8943850267379679,1.560197625319163,1.566351128771981
14,15,0.8988125,0.8884525401069518,1.561814420223236,1.572067444337243
15,16,0.8991041666666667,0.8928810160427807,1.5614849192301432,1.5675410924748303
16,17,0.9010208333333334,0.8932152406417112,1.5596694407463074,1.5670097658340945
17,18,0.9034583333333334,0.8913770053475936,1.5576222189267477,1.56979562700751
18,19,0.9042083333333333,0.8852774064171123,1.5566549801826477,1.5758734877734262
19,20,0.9005833333333333,0.890625,1.560306779384613,1.5699780733190118
20,21,0.91125,0.9029913101604278,1.5499087982177735,1.5577653244854932
21,22,0.9131041666666667,0.906667780748663,1.54771670850118,1.5544780492782593
22,23,0.9148125,0.9045788770053476,1.5459488903681438,1.5563749999286018
23,24,0.9155833333333333,0.9033255347593583,1.5449249391555786,1.5577488563914987
24,25,0.9170208333333333,0.9065842245989305,1.5440529939333598,1.5541542717479766
25,26,0.9180208333333333,0.9048295454545454,1.5431619186401366,1.5560473452277361
26,27,0.9175208333333333,0.9046624331550802,1.5432857065200805,1.5563587473038045
27,28,0.9199583333333333,0.9085895721925134,1.5409181524912516,1.5526812178565856
28,29,0.9184583333333334,0.9052473262032086,1.5422742649714152,1.555272618079568
29,30,0.9212291666666667,0.9065006684491979,1.53969158522288,1.554516376021074
30,31,0.9207916666666667,0.9100935828877005,1.5402175769805908,1.5506398645951787
31,32,0.9214375,0.9079211229946524,1.539174134572347,1.5536619998554495
32,33,0.9203333333333333,0.9089237967914439,1.540758513132731,1.5520596727330418
33,34,0.920625,0.9049966577540107,1.5403572120666504,1.5559145416167968
34,35,0.9203125,0.9095086898395722,1.5404717030525208,1.551519107053624
35,36,0.9235,0.908673128342246,1.537489187558492,1.5522340115378885
36,37,0.9236666666666666,0.9076704545454546,1.5371040493647257,1.5535466779362073
37,38,0.9271458333333333,0.9108455882352942,1.5338874877293904,1.550052744182036
38,39,0.928375,0.9119318181818182,1.5327118910153708,1.5489872643016875
39,40,0.9302916666666666,0.9157754010695187,1.530610190709432,1.5451570577162472
40,41,0.9313541666666667,0.9134358288770054,1.5297347887357076,1.5474902193814037
41,42,0.9315208333333334,0.9144385026737968,1.5294018096923827,1.546497144163611
42,43,0.9323125,0.9160260695187166,1.5288680585225423,1.5444984174667196
43,44,0.9319791666666667,0.9151069518716578,1.5289348866144816,1.5459555961231497
44,45,0.9333541666666667,0.9186163101604278,1.5275377634366354,1.5426336552370041
45,46,0.932375,0.9125167112299465,1.528664146900177,1.5481219285312184
46,47,0.932375,0.9180314171122995,1.528616013844808,1.543393959973585
47,48,0.9353541666666667,0.9174465240641712,1.5259391600290935,1.5431863923761295
48,49,0.9332291666666667,0.9116811497326203,1.527786935488383,1.5487734449101005
49,50,0.9352916666666666,0.9159425133689839,1.525529363632202,1.5448988389203893
50,51,0.9351666666666667,0.9190340909090909,1.5257512016296386,1.541433523682987
51,52,0.9358125,0.9166945187165776,1.525342579046885,1.5442416878307568
52,53,0.9355625,0.9197860962566845,1.5253059350649516,1.5413460323517336
53,54,0.936625,0.9142713903743316,1.5245349135398865,1.5465437422461688
54,55,0.9349791666666667,0.9161931818181818,1.525785480340322,1.5452430726372621
55,56,0.9368333333333333,0.9174465240641712,1.524029705842336,1.5432787445139757
56,57,0.9355833333333333,0.9158589572192514,1.5253107420603433,1.5446410478755115
57,58,0.9371875,0.9207052139037433,1.524094797929128,1.5405435536634475
58,59,0.9376458333333333,0.9199532085561497,1.5234766112963358,1.5406819996349315
59,60,0.9391875,0.9189505347593583,1.5217385093371074,1.5418526864944295
60,61,0.9380208333333333,0.9172794117647058,1.5229359103838602,1.54353828162433
61,62,0.9387708333333333,0.9206216577540107,1.5224510963757834,1.5403235111644562
62,63,0.93975,0.9156082887700535,1.5212798911730447,1.545105798996706
63,64,0.9397708333333333,0.921875,1.5213380891482036,1.53904527202647
64,65,0.9388541666666667,0.9197860962566845,1.5220589057604472,1.5410850934166322
65,66,0.9384166666666667,0.9163602941176471,1.5225912384986877,1.5446943541899085
66,67,0.9405,0.9212901069518716,1.5205388652483622,1.539675323083439
67,68,0.9412291666666667,0.9225434491978609,1.519922403494517,1.53815110800738
68,69,0.9401041666666666,0.9145220588235294,1.520717616558075,1.5464129702930145
69,70,0.9411875,0.921875,1.5197122866312662,1.5391668482897753
70,71,0.94,0.9188669786096256,1.5209512915611267,1.5418487353758379
71,72,0.9394583333333333,0.9202874331550802,1.5213834778467814,1.540625613003491
72,73,0.9419583333333333,0.9192012032085561,1.5191686747868856,1.5421639017880282
73,74,0.9420208333333333,0.9211229946524064,1.5191353003184,1.539851359505067
74,75,0.9431458333333333,0.9225434491978609,1.517710240205129,1.5381846899654776
75,76,0.9452708333333333,0.9207887700534759,1.5158586444854736,1.5403157555483242
76,77,0.9455625,0.9209558823529411,1.5154005877176921,1.539823994917028
77,78,0.9458333333333333,0.9228776737967914,1.515006558418274,1.5379077584985743
78,79,0.9461041666666666,0.9209558823529411,1.5149241960843405,1.5400247025617304
79,80,0.9460208333333333,0.9239639037433155,1.515042960802714,1.5368424086647237
80,81,0.9453541666666667,0.9212065508021391,1.515584836324056,1.5400443440452616
81,82,0.9463958333333333,0.9239639037433155,1.5146392253239949,1.5368295028247936
82,83,0.9471041666666666,0.9226270053475936,1.514121623357137,1.5383771377451279
83,84,0.946625,0.9215407754010695,1.5143028028806051,1.5394194024131898
84,85,0.9472916666666666,0.9249665775401069,1.5138665714263917,1.5362410226607706
85,86,0.9468958333333334,0.9239639037433155,1.5140059588750203,1.5370322306525899
86,87,0.947625,0.9238803475935828,1.513320836544037,1.537034041741315
87,88,0.948375,0.9229612299465241,1.5128038795789083,1.5373781154499973
88,89,0.9495,0.9250501336898396,1.5117765822410583,1.5355126124652312
89,90,0.9491458333333334,0.9232118983957219,1.512057636419932,1.537534661471525
90,91,0.9485,0.9240474598930482,1.5127018653551738,1.537239743426522
91,92,0.9492083333333333,0.921457219251337,1.5120360770225525,1.53860371316818
92,93,0.95,0.9224598930481284,1.5111351316769919,1.5382829611314173
93,94,0.9503125,0.9248830213903744,1.510804171562195,1.5363529123724464
94,95,0.9513333333333334,0.9275568181818182,1.509633824825287,1.533667146840835
95,96,0.9501041666666666,0.9229612299465241,1.5108498128255208,1.5375941335198713
96,97,0.9505833333333333,0.9207887700534759,1.5104362696011862,1.5394581116457036
97,98,0.95125,0.926052807486631,1.5097919216156006,1.5350576141938805
98,99,0.950875,0.9257185828877005,1.5103401794433593,1.5352602616988402
99,100,0.9509166666666666,0.9251336898395722,1.5100935606956483,1.5362022280055572