- 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
5.9 KiB
5.9 KiB
1 | epoch | train_acc | valid_acc | train_loss | valid_loss | |
---|---|---|---|---|---|---|
2 | 0 | 1 | 0.575125 | 0.7011088709677419 | 2.031563010215759 | 1.8535375249001287 |
3 | 1 | 2 | 0.723875 | 0.7515120967741935 | 1.7430778923034669 | 1.713461822079074 |
4 | 2 | 3 | 0.76425 | 0.7525201612903226 | 1.6991203842163085 | 1.7051894049490652 |
5 | 3 | 4 | 0.779875 | 0.7716733870967742 | 1.6807003259658813 | 1.690080665772961 |
6 | 4 | 5 | 0.79525 | 0.7696572580645161 | 1.6654855661392212 | 1.6926762519344207 |
7 | 5 | 6 | 0.80175 | 0.7888104838709677 | 1.6598792200088501 | 1.6711357831954956 |
8 | 6 | 7 | 0.80875 | 0.7721774193548387 | 1.6529147624969482 | 1.6847506146277151 |
9 | 7 | 8 | 0.812375 | 0.8004032258064516 | 1.649049828529358 | 1.6597587523921844 |
10 | 8 | 9 | 0.815375 | 0.7893145161290323 | 1.6458229179382324 | 1.6707303101016628 |
11 | 9 | 10 | 0.825 | 0.811491935483871 | 1.6370085287094116 | 1.6518691432091497 |
12 | 10 | 11 | 0.832375 | 0.795866935483871 | 1.630222158432007 | 1.6616583139665666 |
13 | 11 | 12 | 0.83225 | 0.8145161290322581 | 1.6293829317092896 | 1.6454557026586225 |
14 | 12 | 13 | 0.834875 | 0.8125 | 1.6268642024993896 | 1.6500283018235238 |
15 | 13 | 14 | 0.840875 | 0.8104838709677419 | 1.6199358901977539 | 1.652194688397069 |
16 | 14 | 15 | 0.83975 | 0.8069556451612904 | 1.6210605192184449 | 1.6520756982987927 |
17 | 15 | 16 | 0.84175 | 0.8004032258064516 | 1.6195698108673096 | 1.6582853217278757 |
18 | 16 | 17 | 0.838625 | 0.8049395161290323 | 1.6228710346221924 | 1.656198097813514 |
19 | 17 | 18 | 0.83775 | 0.8140120967741935 | 1.6226149969100951 | 1.6462942131104008 |
20 | 18 | 19 | 0.845375 | 0.8251008064516129 | 1.6150365982055663 | 1.6358921681680987 |
21 | 19 | 20 | 0.85125 | 0.8296370967741935 | 1.6097205333709717 | 1.6333312757553593 |
22 | 20 | 21 | 0.851875 | 0.8210685483870968 | 1.609424132347107 | 1.6388044895664338 |
23 | 21 | 22 | 0.850375 | 0.8210685483870968 | 1.6101643466949462 | 1.6369191561975787 |
24 | 22 | 23 | 0.858125 | 0.8185483870967742 | 1.6031983375549317 | 1.6421872877305554 |
25 | 23 | 24 | 0.857125 | 0.8361895161290323 | 1.6038059520721435 | 1.62519553015309 |
26 | 24 | 25 | 0.854 | 0.8301411290322581 | 1.606280044555664 | 1.6290803609355804 |
27 | 25 | 26 | 0.858375 | 0.8119959677419355 | 1.6011180095672608 | 1.648349738890125 |
28 | 26 | 27 | 0.861375 | 0.8371975806451613 | 1.6000273780822754 | 1.6237776010267195 |
29 | 27 | 28 | 0.8705 | 0.8351814516129032 | 1.5907322645187378 | 1.6240986316434798 |
30 | 28 | 29 | 0.87175 | 0.828125 | 1.5896439476013184 | 1.6316479982868317 |
31 | 29 | 30 | 0.867375 | 0.8266129032258065 | 1.5936143741607667 | 1.632056209348863 |
32 | 30 | 31 | 0.86575 | 0.8377016129032258 | 1.5949567575454713 | 1.6240303862479426 |
33 | 31 | 32 | 0.86975 | 0.8336693548387096 | 1.5907692136764526 | 1.6251203167823054 |
34 | 32 | 33 | 0.86975 | 0.8397177419354839 | 1.5919580411911012 | 1.6214879328204739 |
35 | 33 | 34 | 0.872375 | 0.8422379032258065 | 1.5886561880111694 | 1.6194973222671016 |
36 | 34 | 35 | 0.876 | 0.8331653225806451 | 1.585767653465271 | 1.6247131862948019 |
37 | 35 | 36 | 0.871875 | 0.8392137096774194 | 1.5895709590911866 | 1.6215527211466143 |
38 | 36 | 37 | 0.871125 | 0.8245967741935484 | 1.590462643623352 | 1.6370407227546937 |
39 | 37 | 38 | 0.87325 | 0.8301411290322581 | 1.5876847248077393 | 1.6306157150576193 |
40 | 38 | 39 | 0.8705 | 0.8240927419354839 | 1.590844289779663 | 1.634965923524672 |
41 | 39 | 40 | 0.88125 | 0.8402217741935484 | 1.5803495874404907 | 1.6220719968118975 |
42 | 40 | 41 | 0.881875 | 0.8462701612903226 | 1.5788077726364136 | 1.614263488400367 |
43 | 41 | 42 | 0.87625 | 0.8487903225806451 | 1.5843929862976074 | 1.6131737078389814 |
44 | 42 | 43 | 0.88175 | 0.842741935483871 | 1.5789586782455445 | 1.6184405088424683 |
45 | 43 | 44 | 0.880375 | 0.8417338709677419 | 1.5802030544281005 | 1.6189708786626016 |
46 | 44 | 45 | 0.880375 | 0.8492943548387096 | 1.5803771505355835 | 1.610948174230514 |
47 | 45 | 46 | 0.877625 | 0.8523185483870968 | 1.5828620948791503 | 1.6089561793111986 |
48 | 46 | 47 | 0.882125 | 0.8442540322580645 | 1.578727219581604 | 1.6160847948443504 |
49 | 47 | 48 | 0.872875 | 0.8392137096774194 | 1.5874832077026366 | 1.6228746021947553 |
50 | 48 | 49 | 0.884125 | 0.8371975806451613 | 1.5771635084152222 | 1.6237398655183855 |
51 | 49 | 50 | 0.88975 | 0.8341733870967742 | 1.5712118272781372 | 1.6256768280459988 |
52 | 50 | 51 | 0.876 | 0.8432459677419355 | 1.585065812110901 | 1.6188401445265739 |
53 | 51 | 52 | 0.883 | 0.844758064516129 | 1.5785351629257203 | 1.6169025359615203 |
54 | 52 | 53 | 0.889125 | 0.8548387096774194 | 1.5723771095275878 | 1.607426397262081 |
55 | 53 | 54 | 0.88625 | 0.8518145161290323 | 1.5749757404327394 | 1.6076742141477522 |
56 | 54 | 55 | 0.891125 | 0.8452620967741935 | 1.5695797872543336 | 1.6156867473356185 |
57 | 55 | 56 | 0.891625 | 0.8497983870967742 | 1.5691107511520386 | 1.6118658050414054 |
58 | 56 | 57 | 0.883375 | 0.8508064516129032 | 1.577266471862793 | 1.6087883749315817 |
59 | 57 | 58 | 0.891625 | 0.8422379032258065 | 1.5702907581329346 | 1.6168161553721274 |
60 | 58 | 59 | 0.89375 | 0.8553427419354839 | 1.5679762859344482 | 1.6071604336461713 |
61 | 59 | 60 | 0.885875 | 0.8482862903225806 | 1.5749410953521727 | 1.6108381056016492 |
62 | 60 | 61 | 0.891875 | 0.8417338709677419 | 1.5696327953338622 | 1.6187968907817718 |
63 | 61 | 62 | 0.894 | 0.8392137096774194 | 1.5671770153045654 | 1.6208721822307957 |
64 | 62 | 63 | 0.891125 | 0.8392137096774194 | 1.569726734161377 | 1.6224797733368412 |
65 | 63 | 64 | 0.89325 | 0.8518145161290323 | 1.568245210647583 | 1.606977516605008 |
66 | 64 | 65 | 0.895125 | 0.8462701612903226 | 1.5658181638717652 | 1.6140611633177726 |
67 | 65 | 66 | 0.89175 | 0.8568548387096774 | 1.5686321334838866 | 1.6044510756769488 |
68 | 66 | 67 | 0.896375 | 0.8412298387096774 | 1.5650024271011354 | 1.6208048520549652 |
69 | 67 | 68 | 0.8895 | 0.8477822580645161 | 1.571241024017334 | 1.6136699338113107 |
70 | 68 | 69 | 0.901625 | 0.8472782258064516 | 1.5600450325012207 | 1.612250724146443 |
71 | 69 | 70 | 0.89025 | 0.8306451612903226 | 1.5705311574935914 | 1.630635638390818 |
72 | 70 | 71 | 0.89675 | 0.8538306451612904 | 1.5637341051101685 | 1.6056317244806597 |
73 | 71 | 72 | 0.897 | 0.8412298387096774 | 1.5633089447021484 | 1.6192954970944313 |
74 | 72 | 73 | 0.900375 | 0.8503024193548387 | 1.560647201538086 | 1.6097132775091356 |
75 | 73 | 74 | 0.895625 | 0.8533266129032258 | 1.565330421447754 | 1.6075265484471475 |
76 | 74 | 75 | 0.895125 | 0.8543346774193549 | 1.565690894126892 | 1.6060891266792052 |
77 | 75 | 76 | 0.900625 | 0.8608870967741935 | 1.560530616760254 | 1.6011101891917567 |
78 | 76 | 77 | 0.897125 | 0.8563508064516129 | 1.563725378036499 | 1.6037284789546844 |
79 | 77 | 78 | 0.89175 | 0.8482862903225806 | 1.5693257989883422 | 1.6122698245509979 |
80 | 78 | 79 | 0.90225 | 0.8487903225806451 | 1.5589981718063355 | 1.6111104180735927 |
81 | 79 | 80 | 0.893375 | 0.8442540322580645 | 1.5669814805984497 | 1.6161983090062295 |
82 | 80 | 81 | 0.897125 | 0.8573588709677419 | 1.56400607585907 | 1.6040064134905416 |
83 | 81 | 82 | 0.898 | 0.8568548387096774 | 1.5621892538070679 | 1.6044225615839804 |
84 | 82 | 83 | 0.89075 | 0.8503024193548387 | 1.5697740039825439 | 1.6114465228972896 |
85 | 83 | 84 | 0.900625 | 0.8598790322580645 | 1.5606124105453492 | 1.6002429416102748 |
86 | 84 | 85 | 0.89825 | 0.8553427419354839 | 1.5628600664138794 | 1.603792409743032 |