DeepQuantom-CNN/data/notebook1/random_qccnn_metrics.csv
fly6516 9266859f0a refactor(Modify.py): 重构代码并改进模型训练流程
- 重构了代码结构,优化了导入顺序和格式
- 改进了模型训练流程,添加了早停机制和学习率调度器- 增加了模型测试和可视化部分的代码
-优化了量子卷积层和模型的实现
- 调整了训练参数和数据预处理方法
2025-06-25 15:07:08 +08:00

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,epoch,train_acc,valid_acc,train_loss,valid_loss
0,1,0.59325,0.6854838709677419,1.1784187927246095,0.8956879992638865
1,2,0.713,0.7127016129032258,0.788702152967453,0.7735376723351017
2,3,0.755,0.7389112903225806,0.7006268813610077,0.7271041427889178
3,4,0.763625,0.7273185483870968,0.668900458574295,0.7277685692233424
4,5,0.76275,0.748991935483871,0.6469288661479949,0.672559670863613
5,6,0.773625,0.7434475806451613,0.6203210880756378,0.6748099394382969
6,7,0.771625,0.7494959677419355,0.6234635796546936,0.6763338706185741
7,8,0.784125,0.7580645161290323,0.5965014040470124,0.6313219945276937
8,9,0.781,0.7419354838709677,0.5893729448318481,0.6552943125847848
9,10,0.785375,0.7600806451612904,0.582163923740387,0.6227685501498561
10,11,0.790625,0.7605846774193549,0.5674120993614197,0.6145914264263646
11,12,0.7995,0.765625,0.5617314722537995,0.6158498919779255
12,13,0.7965,0.7883064516129032,0.5522617139816284,0.581030644716755
13,14,0.803125,0.7817540322580645,0.5367116575241089,0.5911272004727395
14,15,0.80025,0.7752016129032258,0.5398472018241882,0.5930967292478008
15,16,0.808125,0.7620967741935484,0.5326456694602967,0.6306540206555398
16,17,0.8145,0.7772177419354839,0.5097175936698913,0.5843374094655437
17,18,0.817375,0.7918346774193549,0.5045695571899415,0.5643920071663395
18,19,0.81175,0.7681451612903226,0.5022978014945984,0.593349628871487
19,20,0.824375,0.7928427419354839,0.4974315061569214,0.5595071181174247
20,21,0.818,0.7762096774193549,0.49526858401298524,0.5555580258369446
21,22,0.815625,0.7862903225806451,0.4976941578388214,0.5627694274148634
22,23,0.825875,0.7908266129032258,0.4906779823303223,0.5514134312829664
23,24,0.823875,0.7953629032258065,0.4869117760658264,0.5559701804191836
24,25,0.823,0.7807459677419355,0.48527450203895567,0.5541293746040713
25,26,0.824625,0.795866935483871,0.4811685870885849,0.5384060884675672
26,27,0.827875,0.7938508064516129,0.48096660792827606,0.5493545234203339
27,28,0.826875,0.7998991935483871,0.477142098903656,0.5478304624557495
28,29,0.82725,0.7948588709677419,0.47373487854003904,0.547797841410483
29,30,0.825375,0.7847782258064516,0.47746446084976196,0.5636355328944421
30,31,0.828875,0.7757056451612904,0.4754366238117218,0.5671144060550197
31,32,0.8315,0.7908266129032258,0.4769072663784027,0.5523799340571126