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refactor(Modify.py): 重构代码并改进模型训练流程

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- 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
This commit is contained in:
fly6516
2025-06-25 15:07:08 +08:00
parent a6c92a4031
commit 9266859f0a
11 changed files with 1448 additions and 1253 deletions
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data/notebook2/best_model.pt
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epoch,train_acc,valid_acc,train_loss,valid_loss
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1 epoch train_acc valid_acc train_loss valid_loss
2 0 1 0.3112916666666667 0.391375 0.5076444892473119 0.5882056451612904 2.1129255460103353 1.7793689422607422 1.7863053237238238 1.3356874796652025
3 1 2 0.46210416666666665 0.617125 0.5547715053763441 0.6365927419354839 1.5605127541224162 1.059556163787842 1.3499009532313193 0.9690603344671188
4 2 3 0.5200833333333333 0.663125 0.5892137096774194 0.6577620967741935 1.298180630683899 0.9102170023918151 1.1617528520604616 0.9078671547674364
5 3 4 0.5641666666666667 0.69 0.6311323924731183 0.6819556451612904 1.161390997727712 0.8537670917510987 1.0419180438082705 0.8649420180628377
6 4 5 0.6055833333333334 0.71125 0.6598622311827957 0.7056451612903226 1.062113331158956 0.8021836678981781 0.9560088053826363 0.8317571128568342
7 5 6 0.6316666666666667 0.719375 0.6804435483870968 0.6844758064516129 0.9944041889508565 0.7773117737770081 0.8958990977656457 0.8293971457789021
8 6 7 0.6513958333333333 0.733 0.6928763440860215 0.7247983870967742 0.9395476338068645 0.7432277894020081 0.8504296951396491 0.7570091389840649
9 7 8 0.6677708333333333 0.727125 0.7007728494623656 0.7051411290322581 0.8985106336275737 0.7392586808204651 0.8148919709267155 0.7708722833664187
10 8 9 0.6809375 0.740375 0.7095934139784946 0.7091733870967742 0.8673048818906148 0.716008551120758 0.7897684433126962 0.7547545788749572
11 9 10 0.6876666666666666 0.74775 0.7185819892473119 0.7091733870967742 0.8408271819750468 0.6988923935890198 0.7671139176173877 0.7634256799374858
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14 12 13 0.7118958333333333 0.755875 0.7316868279569892 0.734375 0.7869214735031128 0.6686462206840516 0.7222210591839205 0.7067360877990723
15 13 14 0.7163958333333333 0.755875 0.7404233870967742 0.7338709677419355 0.7718908907572428 0.659578008890152 0.7093277560767307 0.6924379564100697
16 14 15 0.7211041666666667 0.758625 0.7437836021505376 0.7217741935483871 0.7589795832633972 0.6591809678077698 0.6981546148177116 0.7092515037905786
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20 18 19 0.7350416666666667 0.772125 0.7550403225806451 0.7298387096774194 0.7210039290587107 0.6213552060127259 0.6651292238184201 0.6950428524324971
21 19 20 0.7391458333333333 0.771625 0.758736559139785 0.7560483870967742 0.711990216255188 0.619529750585556 0.6584682823509298 0.6620656597998834
22 20 21 0.7433958333333334 0.77425 0.7608366935483871 0.7459677419354839 0.7047773049672444 0.6170263500213623 0.6513981505106854 0.6944894117693747
23 21 22 0.7442916666666667 0.77375 0.7634408602150538 0.7379032258064516 0.6997552577654521 0.610548350572586 0.6454382868864204 0.698592597438443
24 22 23 0.7481458333333333 0.774125 0.7653729838709677 0.7494959677419355 0.6937046423753103 0.6073116481304168 0.6401395256160408 0.6649176555295144
25 23 24 0.7498333333333334 0.78 0.7683131720430108 0.75 0.6873725473880767 0.601892656326294 0.6349253362865859 0.6502023070089279
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28 26 27 0.7547291666666667 0.784625 0.7722614247311828 0.7651209677419355 0.6727884339491527 0.5858220131397247 0.6230032514500362 0.6265111680953733
29 27 28 0.7580208333333334 0.77975 0.7736055107526881 0.7610887096774194 0.6705719958146413 0.5928270950317382 0.6201616948650729 0.6353864400617538
30 28 29 0.757125 0.780625 0.7748655913978495 0.7520161290322581 0.6678872625033061 0.5824392430782318 0.6165956912502166 0.6569667564284417
31 29 30 0.76025 0.78475 0.7759576612903226 0.7686491935483871 0.6641453323364258 0.5810435285568237 0.6141596103227267 0.6306867743692091
32 30 31 0.7609583333333333 0.789 0.7767137096774194 0.7706653225806451 0.6619020007451375 0.5672282783985138 0.6114715427480718 0.6261125274242894
33 31 32 0.7618333333333334 0.78525 0.776377688172043 0.7560483870967742 0.6576849890549977 0.5757509377002716 0.609050533463878 0.6505500414679127
34 32 33 0.7629583333333333 0.792 0.7783938172043011 0.7681451612903226 0.6566993356545766 0.5613697295188904 0.6069687149857962 0.629849144527989
35 33 34 0.7631666666666667 0.793875 0.7791498655913979 0.7620967741935484 0.6553838003476461 0.5625830183029175 0.6052348261238426 0.6189906856706066
36 34 35 0.7626666666666667 0.791875 0.7785618279569892 0.7681451612903226 0.6523663277626037 0.5602230775356293 0.6037159392269709 0.6212261732547514
37 35 36 0.7653333333333333 0.794625 0.780325940860215 0.7615927419354839 0.6526273953914642 0.5545250961780548 0.6023694485105494 0.619811047469416
38 36 37 0.7639791666666667 0.794625 0.7810819892473119 0.7701612903225806 0.6524330813884736 0.5573954427242279 0.6012957778669172 0.6205428954093687
39 37 38 0.7673958333333334 0.79425 0.7799059139784946 0.764616935483871 0.6500039516290029 0.5514744529724122 0.6002496516191831 0.628905875067557
40 38 39 0.764875 0.792375 0.7815860215053764 0.7842741935483871 0.6476710465749105 0.5618353080749512 0.5992967845291219 0.5954909113145643
41 39 40 0.7661041666666667 0.796375 0.782258064516129 0.7711693548387096 0.6484741485118866 0.5491654114723206 0.5987250285763894 0.6137347759739045
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43 41 42 0.7662291666666666 0.800375 0.7817540322580645 0.7671370967741935 0.6458657967249553 0.5395989503860473 0.5976644568545844 0.6211921880322118
44 42 43 0.76675 0.806 0.7824260752688172 0.7671370967741935 0.6449048202037811 0.5370515692234039 0.5971484975789183 0.6075864828401997
45 43 44 0.7677916666666667 0.801875 0.7825100806451613 0.7605846774193549 0.6437487976551056 0.5388010408878326 0.5968063899906733 0.5891174308715328
46 44 45 0.7677083333333333 0.800875 0.7825940860215054 0.766633064516129 0.6432626353104909 0.539761929512024 0.5964810960395361 0.610026998865989
47 45 46 0.7666041666666666 0.802375 0.7826780913978495 0.780241935483871 0.6452286802132925 0.5270701496601105 0.5963560240243071 0.6000283591208919
48 46 47 0.768875 0.799875 0.7827620967741935 0.7772177419354839 0.6432473388512929 0.5320828959941865 0.5962550809947393 0.5864833074231302
49 47 48 0.7674583333333334 0.807 0.7826780913978495 0.7837701612903226 0.6433716455300649 0.5309389193058014 0.5961945524779699 0.5761975809451072
49 0.7678333333333334 0.7827620967741935 0.6440556212266286 0.596176440036425
50 0.7677083333333333 0.7825940860215054 0.6438165396849315 0.5961719805835396
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epoch,train_acc,valid_acc,train_loss,valid_loss
1,0.6377291666666667,0.7426075268817204,1.0222952149709066,0.6658745436899124
2,0.7588541666666667,0.7799059139784946,0.6436424539883931,0.5876969707909451
3,0.7829791666666667,0.7955309139784946,0.5888768948713938,0.5508138095178912
4,0.7927916666666667,0.8009912634408602,0.5641531114578247,0.5473136597423143
5,0.7997291666666667,0.8065356182795699,0.5444657148520152,0.515406842834206
6,0.8043541666666667,0.8140120967741935,0.5316140202681223,0.5052012169873843
7,0.80975,0.8156922043010753,0.521293937365214,0.4983856466508681
8,0.8155208333333334,0.8162802419354839,0.5079634555180867,0.49958501611986467
9,0.8161875,0.8159442204301075,0.5036936206022898,0.4907228536503289
10,0.816875,0.8160282258064516,0.497530157327652,0.4895895427914076
11,0.8210416666666667,0.8269489247311828,0.4916797243754069,0.47517218673101036
12,0.8210416666666667,0.8266129032258065,0.4892559293905894,0.468310099135163
13,0.8241041666666666,0.8211525537634409,0.4825246704419454,0.4856182368852759
14,0.8239791666666667,0.8264448924731183,0.48390908201535543,0.46895075997998636
15,0.8245,0.8230846774193549,0.4795244421164195,0.47176380727880746
16,0.8270416666666667,0.829133064516129,0.47462198424339297,0.4671747069205007
17,0.8273958333333333,0.8297211021505376,0.4733834793567657,0.4658442559421703
18,0.828125,0.8337533602150538,0.47195579528808596,0.46035799896845253
19,0.8294583333333333,0.829133064516129,0.4668528276284536,0.46208705472689804
20,0.830625,0.8303931451612904,0.46666145197550457,0.4616392642580053
21,0.8320416666666667,0.8280409946236559,0.46406093080838523,0.4690516353935324
22,0.8315833333333333,0.8293010752688172,0.4628266294002533,0.4590829178210228
23,0.8315416666666666,0.8298051075268817,0.46202420779069264,0.4582436110383721
24,0.8328541666666667,0.8282090053763441,0.4594616918563843,0.46520241454083433
25,0.8321458333333334,0.8313172043010753,0.45899707794189454,0.4611524093535639
26,0.835,0.8311491935483871,0.4561348853111267,0.460902286793596
27,0.8342708333333333,0.8335013440860215,0.45571692689259846,0.4524733103731627
28,0.83475,0.831989247311828,0.45314634958902994,0.4535403392648184
29,0.8353958333333333,0.8333333333333334,0.4508692183494568,0.4509869323622796
30,0.8358958333333333,0.8314012096774194,0.4508490650653839,0.4559444804345408
31,0.8379791666666667,0.8347614247311828,0.44810916344324747,0.45132114586009775
32,0.8369375,0.832997311827957,0.4488534228801727,0.4531173186917459
33,0.8375208333333334,0.8366935483870968,0.4460577855904897,0.4518213977095901
34,0.8372708333333333,0.8314852150537635,0.4453533016045888,0.4571616124081355
35,0.8381458333333334,0.8351814516129032,0.4446527805328369,0.4513627043975297
36,0.8392916666666667,0.8373655913978495,0.4431237142880758,0.44869983228304056
37,0.838375,0.8347614247311828,0.4424218458334605,0.4486082660895522
38,0.8397916666666667,0.8355174731182796,0.4412206415732702,0.44703892129723743
39,0.8401875,0.8365255376344086,0.4396123299598694,0.4470836206149029
40,0.8399791666666667,0.8345934139784946,0.43971687642733254,0.4466231196157394
41,0.8410833333333333,0.8373655913978495,0.43810279977321626,0.4461495735312021
42,0.8408958333333333,0.8372815860215054,0.4371747978528341,0.4456534408113008
43,0.8414583333333333,0.8363575268817204,0.43774009283383686,0.4454879440287108
44,0.841375,0.8358534946236559,0.4363077602386475,0.4460145914426414
45,0.8408958333333333,0.8363575268817204,0.43665687982241314,0.44518788110825325
46,0.841875,0.8371135752688172,0.43598757874965666,0.44520101848468985
47,0.8422083333333333,0.836945564516129,0.4349166991710663,0.44520143988311933
48,0.8421041666666667,0.8360215053763441,0.43520630804697674,0.44510498354511874
49,0.8416875,0.836861559139785,0.4354708949327469,0.44491737311886204
50,0.8408125,0.836861559139785,0.43524290529886883,0.4449239748139535
,epoch,train_acc,valid_acc,train_loss,valid_loss
0,1,0.561125,0.6476814516129032,1.271985122203827,0.9911825291572078
1,2,0.676375,0.6668346774193549,0.9134431419372558,0.8937955517922679
2,3,0.699125,0.6824596774193549,0.8243759956359863,0.8520721235582905
3,4,0.716625,0.6995967741935484,0.7818560593128204,0.8005917687569896
4,5,0.725125,0.7101814516129032,0.745261854171753,0.8037946531849522
5,6,0.733375,0.7061491935483871,0.7344184167385102,0.7732808570707997
6,7,0.737875,0.7253024193548387,0.7150477197170257,0.74149090051651
7,8,0.74325,0.7253024193548387,0.7022454526424408,0.7516527022084882
8,9,0.742625,0.7298387096774194,0.7041031284332275,0.7247120468847214
9,10,0.747875,0.7116935483870968,0.6772661633491516,0.7338270487323884
10,11,0.757875,0.7212701612903226,0.6562292041778565,0.7387931039256435
11,12,0.761625,0.7328629032258065,0.6542983632087708,0.725050816612859
12,13,0.75925,0.7318548387096774,0.6493379819393158,0.7001086867624714
13,14,0.767375,0.7379032258064516,0.6460576868057251,0.6988139988914612
14,15,0.765875,0.7288306451612904,0.6339491362571716,0.7128441218406923
15,16,0.763125,0.7368951612903226,0.6262373595237732,0.714297366719092
16,17,0.76925,0.7227822580645161,0.6279029569625855,0.7181522269402781
17,18,0.77025,0.7449596774193549,0.6159816448688507,0.6757595616002237
18,19,0.7745,0.7283266129032258,0.6136245548725128,0.6998546681096477
19,20,0.775375,0.7469758064516129,0.6000997524261474,0.6749713065162781
20,21,0.7805,0.748991935483871,0.5928600332736969,0.6656959902855658
21,22,0.77525,0.7444556451612904,0.599046837568283,0.6857193170055267
22,23,0.785,0.7384072580645161,0.5875316572189331,0.6785462142959717
23,24,0.778375,0.765625,0.588378502368927,0.627939272311426
24,25,0.78575,0.7459677419354839,0.5700427904129028,0.6502643679418871
25,26,0.7805,0.75,0.5785817315578461,0.6712307555060233
26,27,0.78675,0.7474798387096774,0.5676946561336518,0.6555941143343526
27,28,0.787875,0.7505040322580645,0.575938116312027,0.6507430134281036
28,29,0.789,0.7605846774193549,0.5655779435634612,0.6520830373610219
29,30,0.790625,0.7434475806451613,0.5578647639751434,0.6789213486256138
30,31,0.787375,0.7565524193548387,0.5687701859474182,0.649224087115257
31,32,0.79575,0.7560483870967742,0.5432633152008056,0.6388471222692921
32,33,0.7895,0.7595766129032258,0.5557173223495483,0.6391933618053314
1 epoch train_acc valid_acc train_loss valid_loss
2 0 1 0.6377291666666667 0.561125 0.7426075268817204 0.6476814516129032 1.0222952149709066 1.271985122203827 0.6658745436899124 0.9911825291572078
3 1 2 0.7588541666666667 0.676375 0.7799059139784946 0.6668346774193549 0.6436424539883931 0.9134431419372558 0.5876969707909451 0.8937955517922679
4 2 3 0.7829791666666667 0.699125 0.7955309139784946 0.6824596774193549 0.5888768948713938 0.8243759956359863 0.5508138095178912 0.8520721235582905
5 3 4 0.7927916666666667 0.716625 0.8009912634408602 0.6995967741935484 0.5641531114578247 0.7818560593128204 0.5473136597423143 0.8005917687569896
6 4 5 0.7997291666666667 0.725125 0.8065356182795699 0.7101814516129032 0.5444657148520152 0.745261854171753 0.515406842834206 0.8037946531849522
7 5 6 0.8043541666666667 0.733375 0.8140120967741935 0.7061491935483871 0.5316140202681223 0.7344184167385102 0.5052012169873843 0.7732808570707997
8 6 7 0.80975 0.737875 0.8156922043010753 0.7253024193548387 0.521293937365214 0.7150477197170257 0.4983856466508681 0.74149090051651
9 7 8 0.8155208333333334 0.74325 0.8162802419354839 0.7253024193548387 0.5079634555180867 0.7022454526424408 0.49958501611986467 0.7516527022084882
10 8 9 0.8161875 0.742625 0.8159442204301075 0.7298387096774194 0.5036936206022898 0.7041031284332275 0.4907228536503289 0.7247120468847214
11 9 10 0.816875 0.747875 0.8160282258064516 0.7116935483870968 0.497530157327652 0.6772661633491516 0.4895895427914076 0.7338270487323884
12 10 11 0.8210416666666667 0.757875 0.8269489247311828 0.7212701612903226 0.4916797243754069 0.6562292041778565 0.47517218673101036 0.7387931039256435
13 11 12 0.8210416666666667 0.761625 0.8266129032258065 0.7328629032258065 0.4892559293905894 0.6542983632087708 0.468310099135163 0.725050816612859
14 12 13 0.8241041666666666 0.75925 0.8211525537634409 0.7318548387096774 0.4825246704419454 0.6493379819393158 0.4856182368852759 0.7001086867624714
15 13 14 0.8239791666666667 0.767375 0.8264448924731183 0.7379032258064516 0.48390908201535543 0.6460576868057251 0.46895075997998636 0.6988139988914612
16 14 15 0.8245 0.765875 0.8230846774193549 0.7288306451612904 0.4795244421164195 0.6339491362571716 0.47176380727880746 0.7128441218406923
17 15 16 0.8270416666666667 0.763125 0.829133064516129 0.7368951612903226 0.47462198424339297 0.6262373595237732 0.4671747069205007 0.714297366719092
18 16 17 0.8273958333333333 0.76925 0.8297211021505376 0.7227822580645161 0.4733834793567657 0.6279029569625855 0.4658442559421703 0.7181522269402781
19 17 18 0.828125 0.77025 0.8337533602150538 0.7449596774193549 0.47195579528808596 0.6159816448688507 0.46035799896845253 0.6757595616002237
20 18 19 0.8294583333333333 0.7745 0.829133064516129 0.7283266129032258 0.4668528276284536 0.6136245548725128 0.46208705472689804 0.6998546681096477
21 19 20 0.830625 0.775375 0.8303931451612904 0.7469758064516129 0.46666145197550457 0.6000997524261474 0.4616392642580053 0.6749713065162781
22 20 21 0.8320416666666667 0.7805 0.8280409946236559 0.748991935483871 0.46406093080838523 0.5928600332736969 0.4690516353935324 0.6656959902855658
23 21 22 0.8315833333333333 0.77525 0.8293010752688172 0.7444556451612904 0.4628266294002533 0.599046837568283 0.4590829178210228 0.6857193170055267
24 22 23 0.8315416666666666 0.785 0.8298051075268817 0.7384072580645161 0.46202420779069264 0.5875316572189331 0.4582436110383721 0.6785462142959717
25 23 24 0.8328541666666667 0.778375 0.8282090053763441 0.765625 0.4594616918563843 0.588378502368927 0.46520241454083433 0.627939272311426
26 24 25 0.8321458333333334 0.78575 0.8313172043010753 0.7459677419354839 0.45899707794189454 0.5700427904129028 0.4611524093535639 0.6502643679418871
27 25 26 0.835 0.7805 0.8311491935483871 0.75 0.4561348853111267 0.5785817315578461 0.460902286793596 0.6712307555060233
28 26 27 0.8342708333333333 0.78675 0.8335013440860215 0.7474798387096774 0.45571692689259846 0.5676946561336518 0.4524733103731627 0.6555941143343526
29 27 28 0.83475 0.787875 0.831989247311828 0.7505040322580645 0.45314634958902994 0.575938116312027 0.4535403392648184 0.6507430134281036
30 28 29 0.8353958333333333 0.789 0.8333333333333334 0.7605846774193549 0.4508692183494568 0.5655779435634612 0.4509869323622796 0.6520830373610219
31 29 30 0.8358958333333333 0.790625 0.8314012096774194 0.7434475806451613 0.4508490650653839 0.5578647639751434 0.4559444804345408 0.6789213486256138
32 30 31 0.8379791666666667 0.787375 0.8347614247311828 0.7565524193548387 0.44810916344324747 0.5687701859474182 0.45132114586009775 0.649224087115257
33 31 32 0.8369375 0.79575 0.832997311827957 0.7560483870967742 0.4488534228801727 0.5432633152008056 0.4531173186917459 0.6388471222692921
34 32 33 0.8375208333333334 0.7895 0.8366935483870968 0.7595766129032258 0.4460577855904897 0.5557173223495483 0.4518213977095901 0.6391933618053314
34 0.8372708333333333 0.8314852150537635 0.4453533016045888 0.4571616124081355
35 0.8381458333333334 0.8351814516129032 0.4446527805328369 0.4513627043975297
36 0.8392916666666667 0.8373655913978495 0.4431237142880758 0.44869983228304056
37 0.838375 0.8347614247311828 0.4424218458334605 0.4486082660895522
38 0.8397916666666667 0.8355174731182796 0.4412206415732702 0.44703892129723743
39 0.8401875 0.8365255376344086 0.4396123299598694 0.4470836206149029
40 0.8399791666666667 0.8345934139784946 0.43971687642733254 0.4466231196157394
41 0.8410833333333333 0.8373655913978495 0.43810279977321626 0.4461495735312021
42 0.8408958333333333 0.8372815860215054 0.4371747978528341 0.4456534408113008
43 0.8414583333333333 0.8363575268817204 0.43774009283383686 0.4454879440287108
44 0.841375 0.8358534946236559 0.4363077602386475 0.4460145914426414
45 0.8408958333333333 0.8363575268817204 0.43665687982241314 0.44518788110825325
46 0.841875 0.8371135752688172 0.43598757874965666 0.44520101848468985
47 0.8422083333333333 0.836945564516129 0.4349166991710663 0.44520143988311933
48 0.8421041666666667 0.8360215053763441 0.43520630804697674 0.44510498354511874
49 0.8416875 0.836861559139785 0.4354708949327469 0.44491737311886204
50 0.8408125 0.836861559139785 0.43524290529886883 0.4449239748139535
data/notebook2/random_qccnn_weights.pt
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@@ -1,51 +1,86 @@
epoch,train_acc,valid_acc,train_loss,valid_loss
1,0.2535833333333333,0.41952284946236557,2.274448096593221,2.2001695325297694
2,0.4691875,0.5073084677419355,2.116311640103658,2.051948335862929
3,0.5270416666666666,0.5266297043010753,2.009436710357666,1.9777893276624783
4,0.5353541666666667,0.535114247311828,1.9530798486073813,1.9356736265203005
5,0.5935416666666666,0.6175235215053764,1.9118746633529664,1.891348486305565
6,0.636625,0.6625504032258065,1.8629151741663614,1.847881397893352
7,0.686625,0.7302587365591398,1.8228577140172322,1.8057919330494379
8,0.7415416666666667,0.7511760752688172,1.7803055089314779,1.7647134245082896
9,0.7542291666666666,0.7582325268817204,1.7502256110509236,1.7423059594246648
10,0.7607708333333333,0.764616935483871,1.7317150996526083,1.724781782396378
11,0.7677291666666667,0.7719254032258065,1.7192926041285197,1.713816902970755
12,0.7704791666666667,0.7731014784946236,1.71117463239034,1.7070557173862253
13,0.771625,0.7736055107526881,1.7053865385055542,1.7027398668309695
14,0.7747708333333333,0.7749495967741935,1.7004834445317587,1.6978983327906618
15,0.7763333333333333,0.7751176075268817,1.6967166414260864,1.6960316857983988
16,0.7790416666666666,0.7767977150537635,1.6929608987172444,1.692371742699736
17,0.780125,0.7801579301075269,1.6910814901987712,1.6917471321680213
18,0.7817916666666667,0.7827620967741935,1.6882368882497152,1.6861866725388395
19,0.7827291666666667,0.7815860215053764,1.6857908573150635,1.6868788478195027
20,0.7827083333333333,0.7840221774193549,1.6843910643259685,1.6850647259784002
21,0.7848541666666666,0.7857862903225806,1.6823169787724812,1.6813292862266622
22,0.7876666666666666,0.7848622311827957,1.6801685171127319,1.6815461574062225
23,0.7879791666666667,0.7848622311827957,1.6788572374979656,1.6818229216401295
24,0.7890833333333334,0.7859543010752689,1.6776897859573365,1.6799169009731663
25,0.7902708333333334,0.7883904569892473,1.6763870159784953,1.6777271570697907
26,0.791,0.789986559139785,1.6751194190979004,1.6777111407249206
27,0.7918541666666666,0.7886424731182796,1.674490571975708,1.6776156912567795
28,0.7936666666666666,0.7905745967741935,1.6728278172810873,1.6744540147883917
29,0.793375,0.7876344086021505,1.671903525352478,1.6776354030896259
30,0.7945833333333333,0.7901545698924731,1.6710031661987306,1.6751063805754467
31,0.7959166666666667,0.7932627688172043,1.6700964994430543,1.6719800926023913
32,0.7955833333333333,0.7933467741935484,1.6697869466145834,1.6723043623790945
33,0.7971458333333333,0.792002688172043,1.668815224647522,1.6722341519530102
34,0.7974375,0.7931787634408602,1.6682115157445272,1.6723163063808153
35,0.7979791666666667,0.7947748655913979,1.6676976483662924,1.670254216399244
36,0.7984583333333334,0.7950268817204301,1.6669070380528768,1.6704239499184392
37,0.799,0.795866935483871,1.6664897476832072,1.6691849411174815
38,0.7991875,0.7948588709677419,1.6660230029424032,1.6700230785595473
39,0.800125,0.795950940860215,1.6655609397888183,1.6688298884258475
40,0.8006458333333333,0.7956989247311828,1.6652250595092772,1.6690674840763051
41,0.8006875,0.7962869623655914,1.664971160888672,1.6688041135828982
42,0.8015416666666667,0.795866935483871,1.6647087678909303,1.668453808753721
43,0.8013958333333333,0.7962029569892473,1.6643381754557292,1.6682484457569737
44,0.8016458333333333,0.7965389784946236,1.6641663211186728,1.668392535178892
45,0.8017708333333333,0.7957829301075269,1.6640429185231527,1.6681856429705055
46,0.8021041666666666,0.7965389784946236,1.663849822362264,1.6680005634984663
47,0.8024583333333334,0.7966229838709677,1.663770879427592,1.6679569816076627
48,0.8025833333333333,0.7962029569892473,1.6636734215418498,1.6680130330465173
49,0.8024583333333334,0.7970430107526881,1.6635978577931723,1.6679544077124646
50,0.8025,0.7970430107526881,1.6635685895284016,1.6679527682642783
,epoch,train_acc,valid_acc,train_loss,valid_loss
0,1,0.575125,0.7011088709677419,2.031563010215759,1.8535375249001287
1,2,0.723875,0.7515120967741935,1.7430778923034669,1.713461822079074
2,3,0.76425,0.7525201612903226,1.6991203842163085,1.7051894049490652
3,4,0.779875,0.7716733870967742,1.6807003259658813,1.690080665772961
4,5,0.79525,0.7696572580645161,1.6654855661392212,1.6926762519344207
5,6,0.80175,0.7888104838709677,1.6598792200088501,1.6711357831954956
6,7,0.80875,0.7721774193548387,1.6529147624969482,1.6847506146277151
7,8,0.812375,0.8004032258064516,1.649049828529358,1.6597587523921844
8,9,0.815375,0.7893145161290323,1.6458229179382324,1.6707303101016628
9,10,0.825,0.811491935483871,1.6370085287094116,1.6518691432091497
10,11,0.832375,0.795866935483871,1.630222158432007,1.6616583139665666
11,12,0.83225,0.8145161290322581,1.6293829317092896,1.6454557026586225
12,13,0.834875,0.8125,1.6268642024993896,1.6500283018235238
13,14,0.840875,0.8104838709677419,1.6199358901977539,1.652194688397069
14,15,0.83975,0.8069556451612904,1.6210605192184449,1.6520756982987927
15,16,0.84175,0.8004032258064516,1.6195698108673096,1.6582853217278757
16,17,0.838625,0.8049395161290323,1.6228710346221924,1.656198097813514
17,18,0.83775,0.8140120967741935,1.6226149969100951,1.6462942131104008
18,19,0.845375,0.8251008064516129,1.6150365982055663,1.6358921681680987
19,20,0.85125,0.8296370967741935,1.6097205333709717,1.6333312757553593
20,21,0.851875,0.8210685483870968,1.609424132347107,1.6388044895664338
21,22,0.850375,0.8210685483870968,1.6101643466949462,1.6369191561975787
22,23,0.858125,0.8185483870967742,1.6031983375549317,1.6421872877305554
23,24,0.857125,0.8361895161290323,1.6038059520721435,1.62519553015309
24,25,0.854,0.8301411290322581,1.606280044555664,1.6290803609355804
25,26,0.858375,0.8119959677419355,1.6011180095672608,1.648349738890125
26,27,0.861375,0.8371975806451613,1.6000273780822754,1.6237776010267195
27,28,0.8705,0.8351814516129032,1.5907322645187378,1.6240986316434798
28,29,0.87175,0.828125,1.5896439476013184,1.6316479982868317
29,30,0.867375,0.8266129032258065,1.5936143741607667,1.632056209348863
30,31,0.86575,0.8377016129032258,1.5949567575454713,1.6240303862479426
31,32,0.86975,0.8336693548387096,1.5907692136764526,1.6251203167823054
32,33,0.86975,0.8397177419354839,1.5919580411911012,1.6214879328204739
33,34,0.872375,0.8422379032258065,1.5886561880111694,1.6194973222671016
34,35,0.876,0.8331653225806451,1.585767653465271,1.6247131862948019
35,36,0.871875,0.8392137096774194,1.5895709590911866,1.6215527211466143
36,37,0.871125,0.8245967741935484,1.590462643623352,1.6370407227546937
37,38,0.87325,0.8301411290322581,1.5876847248077393,1.6306157150576193
38,39,0.8705,0.8240927419354839,1.590844289779663,1.634965923524672
39,40,0.88125,0.8402217741935484,1.5803495874404907,1.6220719968118975
40,41,0.881875,0.8462701612903226,1.5788077726364136,1.614263488400367
41,42,0.87625,0.8487903225806451,1.5843929862976074,1.6131737078389814
42,43,0.88175,0.842741935483871,1.5789586782455445,1.6184405088424683
43,44,0.880375,0.8417338709677419,1.5802030544281005,1.6189708786626016
44,45,0.880375,0.8492943548387096,1.5803771505355835,1.610948174230514
45,46,0.877625,0.8523185483870968,1.5828620948791503,1.6089561793111986
46,47,0.882125,0.8442540322580645,1.578727219581604,1.6160847948443504
47,48,0.872875,0.8392137096774194,1.5874832077026366,1.6228746021947553
48,49,0.884125,0.8371975806451613,1.5771635084152222,1.6237398655183855
49,50,0.88975,0.8341733870967742,1.5712118272781372,1.6256768280459988
50,51,0.876,0.8432459677419355,1.585065812110901,1.6188401445265739
51,52,0.883,0.844758064516129,1.5785351629257203,1.6169025359615203
52,53,0.889125,0.8548387096774194,1.5723771095275878,1.607426397262081
53,54,0.88625,0.8518145161290323,1.5749757404327394,1.6076742141477522
54,55,0.891125,0.8452620967741935,1.5695797872543336,1.6156867473356185
55,56,0.891625,0.8497983870967742,1.5691107511520386,1.6118658050414054
56,57,0.883375,0.8508064516129032,1.577266471862793,1.6087883749315817
57,58,0.891625,0.8422379032258065,1.5702907581329346,1.6168161553721274
58,59,0.89375,0.8553427419354839,1.5679762859344482,1.6071604336461713
59,60,0.885875,0.8482862903225806,1.5749410953521727,1.6108381056016492
60,61,0.891875,0.8417338709677419,1.5696327953338622,1.6187968907817718
61,62,0.894,0.8392137096774194,1.5671770153045654,1.6208721822307957
62,63,0.891125,0.8392137096774194,1.569726734161377,1.6224797733368412
63,64,0.89325,0.8518145161290323,1.568245210647583,1.606977516605008
64,65,0.895125,0.8462701612903226,1.5658181638717652,1.6140611633177726
65,66,0.89175,0.8568548387096774,1.5686321334838866,1.6044510756769488
66,67,0.896375,0.8412298387096774,1.5650024271011354,1.6208048520549652
67,68,0.8895,0.8477822580645161,1.571241024017334,1.6136699338113107
68,69,0.901625,0.8472782258064516,1.5600450325012207,1.612250724146443
69,70,0.89025,0.8306451612903226,1.5705311574935914,1.630635638390818
70,71,0.89675,0.8538306451612904,1.5637341051101685,1.6056317244806597
71,72,0.897,0.8412298387096774,1.5633089447021484,1.6192954970944313
72,73,0.900375,0.8503024193548387,1.560647201538086,1.6097132775091356
73,74,0.895625,0.8533266129032258,1.565330421447754,1.6075265484471475
74,75,0.895125,0.8543346774193549,1.565690894126892,1.6060891266792052
75,76,0.900625,0.8608870967741935,1.560530616760254,1.6011101891917567
76,77,0.897125,0.8563508064516129,1.563725378036499,1.6037284789546844
77,78,0.89175,0.8482862903225806,1.5693257989883422,1.6122698245509979
78,79,0.90225,0.8487903225806451,1.5589981718063355,1.6111104180735927
79,80,0.893375,0.8442540322580645,1.5669814805984497,1.6161983090062295
80,81,0.897125,0.8573588709677419,1.56400607585907,1.6040064134905416
81,82,0.898,0.8568548387096774,1.5621892538070679,1.6044225615839804
82,83,0.89075,0.8503024193548387,1.5697740039825439,1.6114465228972896
83,84,0.900625,0.8598790322580645,1.5606124105453492,1.6002429416102748
84,85,0.89825,0.8553427419354839,1.5628600664138794,1.603792409743032
1 epoch train_acc valid_acc train_loss valid_loss
2 0 1 0.2535833333333333 0.575125 0.41952284946236557 0.7011088709677419 2.274448096593221 2.031563010215759 2.2001695325297694 1.8535375249001287
3 1 2 0.4691875 0.723875 0.5073084677419355 0.7515120967741935 2.116311640103658 1.7430778923034669 2.051948335862929 1.713461822079074
4 2 3 0.5270416666666666 0.76425 0.5266297043010753 0.7525201612903226 2.009436710357666 1.6991203842163085 1.9777893276624783 1.7051894049490652
5 3 4 0.5353541666666667 0.779875 0.535114247311828 0.7716733870967742 1.9530798486073813 1.6807003259658813 1.9356736265203005 1.690080665772961
6 4 5 0.5935416666666666 0.79525 0.6175235215053764 0.7696572580645161 1.9118746633529664 1.6654855661392212 1.891348486305565 1.6926762519344207
7 5 6 0.636625 0.80175 0.6625504032258065 0.7888104838709677 1.8629151741663614 1.6598792200088501 1.847881397893352 1.6711357831954956
8 6 7 0.686625 0.80875 0.7302587365591398 0.7721774193548387 1.8228577140172322 1.6529147624969482 1.8057919330494379 1.6847506146277151
9 7 8 0.7415416666666667 0.812375 0.7511760752688172 0.8004032258064516 1.7803055089314779 1.649049828529358 1.7647134245082896 1.6597587523921844
10 8 9 0.7542291666666666 0.815375 0.7582325268817204 0.7893145161290323 1.7502256110509236 1.6458229179382324 1.7423059594246648 1.6707303101016628
11 9 10 0.7607708333333333 0.825 0.764616935483871 0.811491935483871 1.7317150996526083 1.6370085287094116 1.724781782396378 1.6518691432091497
12 10 11 0.7677291666666667 0.832375 0.7719254032258065 0.795866935483871 1.7192926041285197 1.630222158432007 1.713816902970755 1.6616583139665666
13 11 12 0.7704791666666667 0.83225 0.7731014784946236 0.8145161290322581 1.71117463239034 1.6293829317092896 1.7070557173862253 1.6454557026586225
14 12 13 0.771625 0.834875 0.7736055107526881 0.8125 1.7053865385055542 1.6268642024993896 1.7027398668309695 1.6500283018235238
15 13 14 0.7747708333333333 0.840875 0.7749495967741935 0.8104838709677419 1.7004834445317587 1.6199358901977539 1.6978983327906618 1.652194688397069
16 14 15 0.7763333333333333 0.83975 0.7751176075268817 0.8069556451612904 1.6967166414260864 1.6210605192184449 1.6960316857983988 1.6520756982987927
17 15 16 0.7790416666666666 0.84175 0.7767977150537635 0.8004032258064516 1.6929608987172444 1.6195698108673096 1.692371742699736 1.6582853217278757
18 16 17 0.780125 0.838625 0.7801579301075269 0.8049395161290323 1.6910814901987712 1.6228710346221924 1.6917471321680213 1.656198097813514
19 17 18 0.7817916666666667 0.83775 0.7827620967741935 0.8140120967741935 1.6882368882497152 1.6226149969100951 1.6861866725388395 1.6462942131104008
20 18 19 0.7827291666666667 0.845375 0.7815860215053764 0.8251008064516129 1.6857908573150635 1.6150365982055663 1.6868788478195027 1.6358921681680987
21 19 20 0.7827083333333333 0.85125 0.7840221774193549 0.8296370967741935 1.6843910643259685 1.6097205333709717 1.6850647259784002 1.6333312757553593
22 20 21 0.7848541666666666 0.851875 0.7857862903225806 0.8210685483870968 1.6823169787724812 1.609424132347107 1.6813292862266622 1.6388044895664338
23 21 22 0.7876666666666666 0.850375 0.7848622311827957 0.8210685483870968 1.6801685171127319 1.6101643466949462 1.6815461574062225 1.6369191561975787
24 22 23 0.7879791666666667 0.858125 0.7848622311827957 0.8185483870967742 1.6788572374979656 1.6031983375549317 1.6818229216401295 1.6421872877305554
25 23 24 0.7890833333333334 0.857125 0.7859543010752689 0.8361895161290323 1.6776897859573365 1.6038059520721435 1.6799169009731663 1.62519553015309
26 24 25 0.7902708333333334 0.854 0.7883904569892473 0.8301411290322581 1.6763870159784953 1.606280044555664 1.6777271570697907 1.6290803609355804
27 25 26 0.791 0.858375 0.789986559139785 0.8119959677419355 1.6751194190979004 1.6011180095672608 1.6777111407249206 1.648349738890125
28 26 27 0.7918541666666666 0.861375 0.7886424731182796 0.8371975806451613 1.674490571975708 1.6000273780822754 1.6776156912567795 1.6237776010267195
29 27 28 0.7936666666666666 0.8705 0.7905745967741935 0.8351814516129032 1.6728278172810873 1.5907322645187378 1.6744540147883917 1.6240986316434798
30 28 29 0.793375 0.87175 0.7876344086021505 0.828125 1.671903525352478 1.5896439476013184 1.6776354030896259 1.6316479982868317
31 29 30 0.7945833333333333 0.867375 0.7901545698924731 0.8266129032258065 1.6710031661987306 1.5936143741607667 1.6751063805754467 1.632056209348863
32 30 31 0.7959166666666667 0.86575 0.7932627688172043 0.8377016129032258 1.6700964994430543 1.5949567575454713 1.6719800926023913 1.6240303862479426
33 31 32 0.7955833333333333 0.86975 0.7933467741935484 0.8336693548387096 1.6697869466145834 1.5907692136764526 1.6723043623790945 1.6251203167823054
34 32 33 0.7971458333333333 0.86975 0.792002688172043 0.8397177419354839 1.668815224647522 1.5919580411911012 1.6722341519530102 1.6214879328204739
35 33 34 0.7974375 0.872375 0.7931787634408602 0.8422379032258065 1.6682115157445272 1.5886561880111694 1.6723163063808153 1.6194973222671016
36 34 35 0.7979791666666667 0.876 0.7947748655913979 0.8331653225806451 1.6676976483662924 1.585767653465271 1.670254216399244 1.6247131862948019
37 35 36 0.7984583333333334 0.871875 0.7950268817204301 0.8392137096774194 1.6669070380528768 1.5895709590911866 1.6704239499184392 1.6215527211466143
38 36 37 0.799 0.871125 0.795866935483871 0.8245967741935484 1.6664897476832072 1.590462643623352 1.6691849411174815 1.6370407227546937
39 37 38 0.7991875 0.87325 0.7948588709677419 0.8301411290322581 1.6660230029424032 1.5876847248077393 1.6700230785595473 1.6306157150576193
40 38 39 0.800125 0.8705 0.795950940860215 0.8240927419354839 1.6655609397888183 1.590844289779663 1.6688298884258475 1.634965923524672
41 39 40 0.8006458333333333 0.88125 0.7956989247311828 0.8402217741935484 1.6652250595092772 1.5803495874404907 1.6690674840763051 1.6220719968118975
42 40 41 0.8006875 0.881875 0.7962869623655914 0.8462701612903226 1.664971160888672 1.5788077726364136 1.6688041135828982 1.614263488400367
43 41 42 0.8015416666666667 0.87625 0.795866935483871 0.8487903225806451 1.6647087678909303 1.5843929862976074 1.668453808753721 1.6131737078389814
44 42 43 0.8013958333333333 0.88175 0.7962029569892473 0.842741935483871 1.6643381754557292 1.5789586782455445 1.6682484457569737 1.6184405088424683
45 43 44 0.8016458333333333 0.880375 0.7965389784946236 0.8417338709677419 1.6641663211186728 1.5802030544281005 1.668392535178892 1.6189708786626016
46 44 45 0.8017708333333333 0.880375 0.7957829301075269 0.8492943548387096 1.6640429185231527 1.5803771505355835 1.6681856429705055 1.610948174230514
47 45 46 0.8021041666666666 0.877625 0.7965389784946236 0.8523185483870968 1.663849822362264 1.5828620948791503 1.6680005634984663 1.6089561793111986
48 46 47 0.8024583333333334 0.882125 0.7966229838709677 0.8442540322580645 1.663770879427592 1.578727219581604 1.6679569816076627 1.6160847948443504
49 47 48 0.8025833333333333 0.872875 0.7962029569892473 0.8392137096774194 1.6636734215418498 1.5874832077026366 1.6680130330465173 1.6228746021947553
50 48 49 0.8024583333333334 0.884125 0.7970430107526881 0.8371975806451613 1.6635978577931723 1.5771635084152222 1.6679544077124646 1.6237398655183855
51 49 50 0.8025 0.88975 0.7970430107526881 0.8341733870967742 1.6635685895284016 1.5712118272781372 1.6679527682642783 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
data/notebook2/vgg_weights.pt
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