fly6516
cb15dfb430
-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
62 lines
4.6 KiB
Plaintext
62 lines
4.6 KiB
Plaintext
,epoch,train_acc,valid_acc,train_loss,valid_loss
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0,1,0.6956875,0.7605280748663101,0.8211820412079494,0.6387985139925849
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1,2,0.7645416666666667,0.787850935828877,0.6182981830437978,0.5789241027385793
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2,3,0.7837916666666667,0.7884358288770054,0.5628398391008377,0.5625918760975415
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3,4,0.7983958333333333,0.8048128342245989,0.5307413680950801,0.5154492698888727
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4,5,0.8067291666666667,0.8016377005347594,0.5082246935367585,0.5231997628900457
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5,6,0.812,0.8068181818181818,0.48933065092563627,0.516960185957465
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6,7,0.8195416666666666,0.8124164438502673,0.47495536905527114,0.4998339513406397
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7,8,0.8227708333333333,0.8236965240641712,0.46346363043785094,0.4768249858668781
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8,9,0.8255625,0.8194351604278075,0.45567453374465305,0.4821742607310494
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9,10,0.8315,0.825701871657754,0.44574370459715523,0.46175671978430316
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10,11,0.8308125,0.8133355614973262,0.4422872595389684,0.4978986528308634
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11,12,0.8348125,0.8301303475935828,0.4311412891546885,0.4576163932601398
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12,13,0.8376041666666667,0.8193516042780749,0.42240108201901116,0.4770477739247409
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13,14,0.8385625,0.8282921122994652,0.418784587085247,0.4626272647457327
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14,15,0.8436041666666667,0.8350601604278075,0.41075574096043904,0.44758253596364495
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15,16,0.8421875,0.8313001336898396,0.4109448278148969,0.446757927218223
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16,17,0.8435625,0.8346423796791443,0.40630192184448244,0.4484061913534919
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17,18,0.8458541666666667,0.8385695187165776,0.40021699021259943,0.4367518940552033
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18,19,0.847125,0.8307152406417112,0.3976554674903552,0.44405238075371095
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19,20,0.8483125,0.8386530748663101,0.3941614780028661,0.4367401426169962
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20,21,0.8502916666666667,0.8384024064171123,0.3900964806675911,0.4330310898031143
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21,22,0.850875,0.8379010695187166,0.38837515221039454,0.43586291532146737
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22,23,0.8517291666666666,0.8390708556149733,0.3842192193667094,0.43854525677341827
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23,24,0.8533958333333334,0.8319685828877005,0.37822781956195833,0.43952455710281024
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24,25,0.8521041666666667,0.8424966577540107,0.38170819969971975,0.42412006687671744
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25,26,0.8566875,0.8418282085561497,0.3745041756629944,0.42809357434351814
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26,27,0.8584583333333333,0.8440842245989305,0.3699158744017283,0.4245206856313236
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27,28,0.8557708333333334,0.841995320855615,0.37092407973607383,0.422711970892182
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28,29,0.8590625,0.8429979946524064,0.36935959541797636,0.42758023595427447
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29,30,0.8596041666666666,0.8488469251336899,0.3606020367145538,0.4196776971619397
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30,31,0.8629166666666667,0.8481784759358288,0.3595893513560295,0.41790072508355514
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31,32,0.8611875,0.8426637700534759,0.3579425945480665,0.42967644118688963
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32,33,0.8640416666666667,0.8465909090909091,0.3525094211200873,0.41836620102272953
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33,34,0.8626875,0.8418282085561497,0.3546509333451589,0.4231800782011155
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34,35,0.8648333333333333,0.8489304812834224,0.3503157667120298,0.4183035452257503
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35,36,0.8643958333333334,0.8440006684491979,0.3498730379541715,0.4190998378603216
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36,37,0.87175,0.8534425133689839,0.32715407966574034,0.4019120936406487
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37,38,0.8728541666666667,0.8485127005347594,0.32552256182829536,0.4089040935517632
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38,39,0.876375,0.852105614973262,0.32196691662073135,0.40356063794962227
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39,40,0.8771875,0.85235628342246,0.31610893772045773,0.4059840437562708
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40,41,0.8779583333333333,0.8501002673796791,0.3148737497230371,0.40458757402425144
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41,42,0.8783541666666667,0.8511029411764706,0.31425037946303686,0.40025874677507634
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42,43,0.879125,0.8485127005347594,0.31071714136004447,0.41301197538720097
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43,44,0.8840833333333333,0.8587065508021391,0.297863828599453,0.38672817749454375
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44,45,0.8851875,0.8551136363636364,0.29304139083623887,0.3945167065463602
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45,46,0.8866666666666667,0.8526069518716578,0.2949504310488701,0.4007673603009413
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46,47,0.887875,0.8566176470588235,0.2923740311563015,0.39658332620075043
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47,48,0.8865625,0.8573696524064172,0.29297807250420255,0.39060447871047543
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48,49,0.8876458333333334,0.8531918449197861,0.29198914767305056,0.4017815204227672
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49,50,0.8903125,0.8556985294117647,0.28550282220045725,0.3990818190383401
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50,51,0.8921041666666667,0.8613803475935828,0.2811181089083354,0.38583621303027965
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51,52,0.8912708333333333,0.8602941176470589,0.2825057551066081,0.38899426345519206
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52,53,0.8914375,0.8542780748663101,0.28124154203136764,0.4000103534224199
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53,54,0.8925416666666667,0.8579545454545454,0.2816228237350782,0.39209578182289306
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54,55,0.8924375,0.8584558823529411,0.2785300021370252,0.38789646502803354
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55,56,0.8932083333333334,0.8587065508021391,0.27603148049116133,0.39326987443442013
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56,57,0.8931458333333333,0.8557820855614974,0.27797147376338643,0.4011580384670094
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57,58,0.8956875,0.8595421122994652,0.2708657040695349,0.3850319666817864
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58,59,0.8921458333333333,0.8613803475935828,0.274147473325332,0.3814745011495396
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59,60,0.8947291666666667,0.8602941176470589,0.2712443074285984,0.39393253767872877
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