refactor(Modify): 重构 Modify.py 脚本

- 添加数据增强、优化器与学习率调度等改进
- 统一训练框架,支持多模型训练- 增加梯度裁剪、最佳模型保存等功能
- 优化代码结构,提高可维护性
This commit is contained in:
2025-06-25 03:04:30 +08:00
parent b1818286f0
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epoch,train_acc,valid_acc,train_loss,valid_loss
1,0.3112916666666667,0.5076444892473119,2.1129255460103353,1.7863053237238238
2,0.46210416666666665,0.5547715053763441,1.5605127541224162,1.3499009532313193
3,0.5200833333333333,0.5892137096774194,1.298180630683899,1.1617528520604616
4,0.5641666666666667,0.6311323924731183,1.161390997727712,1.0419180438082705
5,0.6055833333333334,0.6598622311827957,1.062113331158956,0.9560088053826363
6,0.6316666666666667,0.6804435483870968,0.9944041889508565,0.8958990977656457
7,0.6513958333333333,0.6928763440860215,0.9395476338068645,0.8504296951396491
8,0.6677708333333333,0.7007728494623656,0.8985106336275737,0.8148919709267155
9,0.6809375,0.7095934139784946,0.8673048818906148,0.7897684433126962
10,0.6876666666666666,0.7185819892473119,0.8408271819750468,0.7671139176173877
11,0.697625,0.7247143817204301,0.8202435002326965,0.7502269674372929
12,0.7030625,0.7303427419354839,0.8024592914581299,0.7343912464316174
13,0.7118958333333333,0.7316868279569892,0.7869214735031128,0.7222210591839205
14,0.7163958333333333,0.7404233870967742,0.7718908907572428,0.7093277560767307
15,0.7211041666666667,0.7437836021505376,0.7589795832633972,0.6981546148177116
16,0.724875,0.748067876344086,0.7483940289815267,0.6881407947950465
17,0.7293958333333334,0.75,0.7373875479698181,0.6788085179944192
18,0.7345,0.7517641129032258,0.7301613558133443,0.6724013622089099
19,0.7350416666666667,0.7550403225806451,0.7210039290587107,0.6651292238184201
20,0.7391458333333333,0.758736559139785,0.711990216255188,0.6584682823509298
21,0.7433958333333334,0.7608366935483871,0.7047773049672444,0.6513981505106854
22,0.7442916666666667,0.7634408602150538,0.6997552577654521,0.6454382868864204
23,0.7481458333333333,0.7653729838709677,0.6937046423753103,0.6401395256160408
24,0.7498333333333334,0.7683131720430108,0.6873725473880767,0.6349253362865859
25,0.7529166666666667,0.769573252688172,0.6828897857666015,0.6308066611007977
26,0.7547291666666667,0.7708333333333334,0.6747500312328338,0.6260690948655528
27,0.7547291666666667,0.7722614247311828,0.6727884339491527,0.6230032514500362
28,0.7580208333333334,0.7736055107526881,0.6705719958146413,0.6201616948650729
29,0.757125,0.7748655913978495,0.6678872625033061,0.6165956912502166
30,0.76025,0.7759576612903226,0.6641453323364258,0.6141596103227267
31,0.7609583333333333,0.7767137096774194,0.6619020007451375,0.6114715427480718
32,0.7618333333333334,0.776377688172043,0.6576849890549977,0.609050533463878
33,0.7629583333333333,0.7783938172043011,0.6566993356545766,0.6069687149857962
34,0.7631666666666667,0.7791498655913979,0.6553838003476461,0.6052348261238426
35,0.7626666666666667,0.7785618279569892,0.6523663277626037,0.6037159392269709
36,0.7653333333333333,0.780325940860215,0.6526273953914642,0.6023694485105494
37,0.7639791666666667,0.7810819892473119,0.6524330813884736,0.6012957778669172
38,0.7673958333333334,0.7799059139784946,0.6500039516290029,0.6002496516191831
39,0.764875,0.7815860215053764,0.6476710465749105,0.5992967845291219
40,0.7661041666666667,0.782258064516129,0.6484741485118866,0.5987250285763894
41,0.7668333333333334,0.7818380376344086,0.64447620677948,0.5979425240588444
42,0.7662291666666666,0.7817540322580645,0.6458657967249553,0.5976644568545844
43,0.76675,0.7824260752688172,0.6449048202037811,0.5971484975789183
44,0.7677916666666667,0.7825100806451613,0.6437487976551056,0.5968063899906733
45,0.7677083333333333,0.7825940860215054,0.6432626353104909,0.5964810960395361
46,0.7666041666666666,0.7826780913978495,0.6452286802132925,0.5963560240243071
47,0.768875,0.7827620967741935,0.6432473388512929,0.5962550809947393
48,0.7674583333333334,0.7826780913978495,0.6433716455300649,0.5961945524779699
49,0.7678333333333334,0.7827620967741935,0.6440556212266286,0.596176440036425
50,0.7677083333333333,0.7825940860215054,0.6438165396849315,0.5961719805835396
1 epoch train_acc valid_acc train_loss valid_loss
2 1 0.3112916666666667 0.5076444892473119 2.1129255460103353 1.7863053237238238
3 2 0.46210416666666665 0.5547715053763441 1.5605127541224162 1.3499009532313193
4 3 0.5200833333333333 0.5892137096774194 1.298180630683899 1.1617528520604616
5 4 0.5641666666666667 0.6311323924731183 1.161390997727712 1.0419180438082705
6 5 0.6055833333333334 0.6598622311827957 1.062113331158956 0.9560088053826363
7 6 0.6316666666666667 0.6804435483870968 0.9944041889508565 0.8958990977656457
8 7 0.6513958333333333 0.6928763440860215 0.9395476338068645 0.8504296951396491
9 8 0.6677708333333333 0.7007728494623656 0.8985106336275737 0.8148919709267155
10 9 0.6809375 0.7095934139784946 0.8673048818906148 0.7897684433126962
11 10 0.6876666666666666 0.7185819892473119 0.8408271819750468 0.7671139176173877
12 11 0.697625 0.7247143817204301 0.8202435002326965 0.7502269674372929
13 12 0.7030625 0.7303427419354839 0.8024592914581299 0.7343912464316174
14 13 0.7118958333333333 0.7316868279569892 0.7869214735031128 0.7222210591839205
15 14 0.7163958333333333 0.7404233870967742 0.7718908907572428 0.7093277560767307
16 15 0.7211041666666667 0.7437836021505376 0.7589795832633972 0.6981546148177116
17 16 0.724875 0.748067876344086 0.7483940289815267 0.6881407947950465
18 17 0.7293958333333334 0.75 0.7373875479698181 0.6788085179944192
19 18 0.7345 0.7517641129032258 0.7301613558133443 0.6724013622089099
20 19 0.7350416666666667 0.7550403225806451 0.7210039290587107 0.6651292238184201
21 20 0.7391458333333333 0.758736559139785 0.711990216255188 0.6584682823509298
22 21 0.7433958333333334 0.7608366935483871 0.7047773049672444 0.6513981505106854
23 22 0.7442916666666667 0.7634408602150538 0.6997552577654521 0.6454382868864204
24 23 0.7481458333333333 0.7653729838709677 0.6937046423753103 0.6401395256160408
25 24 0.7498333333333334 0.7683131720430108 0.6873725473880767 0.6349253362865859
26 25 0.7529166666666667 0.769573252688172 0.6828897857666015 0.6308066611007977
27 26 0.7547291666666667 0.7708333333333334 0.6747500312328338 0.6260690948655528
28 27 0.7547291666666667 0.7722614247311828 0.6727884339491527 0.6230032514500362
29 28 0.7580208333333334 0.7736055107526881 0.6705719958146413 0.6201616948650729
30 29 0.757125 0.7748655913978495 0.6678872625033061 0.6165956912502166
31 30 0.76025 0.7759576612903226 0.6641453323364258 0.6141596103227267
32 31 0.7609583333333333 0.7767137096774194 0.6619020007451375 0.6114715427480718
33 32 0.7618333333333334 0.776377688172043 0.6576849890549977 0.609050533463878
34 33 0.7629583333333333 0.7783938172043011 0.6566993356545766 0.6069687149857962
35 34 0.7631666666666667 0.7791498655913979 0.6553838003476461 0.6052348261238426
36 35 0.7626666666666667 0.7785618279569892 0.6523663277626037 0.6037159392269709
37 36 0.7653333333333333 0.780325940860215 0.6526273953914642 0.6023694485105494
38 37 0.7639791666666667 0.7810819892473119 0.6524330813884736 0.6012957778669172
39 38 0.7673958333333334 0.7799059139784946 0.6500039516290029 0.6002496516191831
40 39 0.764875 0.7815860215053764 0.6476710465749105 0.5992967845291219
41 40 0.7661041666666667 0.782258064516129 0.6484741485118866 0.5987250285763894
42 41 0.7668333333333334 0.7818380376344086 0.64447620677948 0.5979425240588444
43 42 0.7662291666666666 0.7817540322580645 0.6458657967249553 0.5976644568545844
44 43 0.76675 0.7824260752688172 0.6449048202037811 0.5971484975789183
45 44 0.7677916666666667 0.7825100806451613 0.6437487976551056 0.5968063899906733
46 45 0.7677083333333333 0.7825940860215054 0.6432626353104909 0.5964810960395361
47 46 0.7666041666666666 0.7826780913978495 0.6452286802132925 0.5963560240243071
48 47 0.768875 0.7827620967741935 0.6432473388512929 0.5962550809947393
49 48 0.7674583333333334 0.7826780913978495 0.6433716455300649 0.5961945524779699
50 49 0.7678333333333334 0.7827620967741935 0.6440556212266286 0.596176440036425
51 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
1 epoch train_acc valid_acc train_loss valid_loss
2 1 0.6377291666666667 0.7426075268817204 1.0222952149709066 0.6658745436899124
3 2 0.7588541666666667 0.7799059139784946 0.6436424539883931 0.5876969707909451
4 3 0.7829791666666667 0.7955309139784946 0.5888768948713938 0.5508138095178912
5 4 0.7927916666666667 0.8009912634408602 0.5641531114578247 0.5473136597423143
6 5 0.7997291666666667 0.8065356182795699 0.5444657148520152 0.515406842834206
7 6 0.8043541666666667 0.8140120967741935 0.5316140202681223 0.5052012169873843
8 7 0.80975 0.8156922043010753 0.521293937365214 0.4983856466508681
9 8 0.8155208333333334 0.8162802419354839 0.5079634555180867 0.49958501611986467
10 9 0.8161875 0.8159442204301075 0.5036936206022898 0.4907228536503289
11 10 0.816875 0.8160282258064516 0.497530157327652 0.4895895427914076
12 11 0.8210416666666667 0.8269489247311828 0.4916797243754069 0.47517218673101036
13 12 0.8210416666666667 0.8266129032258065 0.4892559293905894 0.468310099135163
14 13 0.8241041666666666 0.8211525537634409 0.4825246704419454 0.4856182368852759
15 14 0.8239791666666667 0.8264448924731183 0.48390908201535543 0.46895075997998636
16 15 0.8245 0.8230846774193549 0.4795244421164195 0.47176380727880746
17 16 0.8270416666666667 0.829133064516129 0.47462198424339297 0.4671747069205007
18 17 0.8273958333333333 0.8297211021505376 0.4733834793567657 0.4658442559421703
19 18 0.828125 0.8337533602150538 0.47195579528808596 0.46035799896845253
20 19 0.8294583333333333 0.829133064516129 0.4668528276284536 0.46208705472689804
21 20 0.830625 0.8303931451612904 0.46666145197550457 0.4616392642580053
22 21 0.8320416666666667 0.8280409946236559 0.46406093080838523 0.4690516353935324
23 22 0.8315833333333333 0.8293010752688172 0.4628266294002533 0.4590829178210228
24 23 0.8315416666666666 0.8298051075268817 0.46202420779069264 0.4582436110383721
25 24 0.8328541666666667 0.8282090053763441 0.4594616918563843 0.46520241454083433
26 25 0.8321458333333334 0.8313172043010753 0.45899707794189454 0.4611524093535639
27 26 0.835 0.8311491935483871 0.4561348853111267 0.460902286793596
28 27 0.8342708333333333 0.8335013440860215 0.45571692689259846 0.4524733103731627
29 28 0.83475 0.831989247311828 0.45314634958902994 0.4535403392648184
30 29 0.8353958333333333 0.8333333333333334 0.4508692183494568 0.4509869323622796
31 30 0.8358958333333333 0.8314012096774194 0.4508490650653839 0.4559444804345408
32 31 0.8379791666666667 0.8347614247311828 0.44810916344324747 0.45132114586009775
33 32 0.8369375 0.832997311827957 0.4488534228801727 0.4531173186917459
34 33 0.8375208333333334 0.8366935483870968 0.4460577855904897 0.4518213977095901
35 34 0.8372708333333333 0.8314852150537635 0.4453533016045888 0.4571616124081355
36 35 0.8381458333333334 0.8351814516129032 0.4446527805328369 0.4513627043975297
37 36 0.8392916666666667 0.8373655913978495 0.4431237142880758 0.44869983228304056
38 37 0.838375 0.8347614247311828 0.4424218458334605 0.4486082660895522
39 38 0.8397916666666667 0.8355174731182796 0.4412206415732702 0.44703892129723743
40 39 0.8401875 0.8365255376344086 0.4396123299598694 0.4470836206149029
41 40 0.8399791666666667 0.8345934139784946 0.43971687642733254 0.4466231196157394
42 41 0.8410833333333333 0.8373655913978495 0.43810279977321626 0.4461495735312021
43 42 0.8408958333333333 0.8372815860215054 0.4371747978528341 0.4456534408113008
44 43 0.8414583333333333 0.8363575268817204 0.43774009283383686 0.4454879440287108
45 44 0.841375 0.8358534946236559 0.4363077602386475 0.4460145914426414
46 45 0.8408958333333333 0.8363575268817204 0.43665687982241314 0.44518788110825325
47 46 0.841875 0.8371135752688172 0.43598757874965666 0.44520101848468985
48 47 0.8422083333333333 0.836945564516129 0.4349166991710663 0.44520143988311933
49 48 0.8421041666666667 0.8360215053763441 0.43520630804697674 0.44510498354511874
50 49 0.8416875 0.836861559139785 0.4354708949327469 0.44491737311886204
51 50 0.8408125 0.836861559139785 0.43524290529886883 0.4449239748139535
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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
1 epoch train_acc valid_acc train_loss valid_loss
2 1 0.2535833333333333 0.41952284946236557 2.274448096593221 2.2001695325297694
3 2 0.4691875 0.5073084677419355 2.116311640103658 2.051948335862929
4 3 0.5270416666666666 0.5266297043010753 2.009436710357666 1.9777893276624783
5 4 0.5353541666666667 0.535114247311828 1.9530798486073813 1.9356736265203005
6 5 0.5935416666666666 0.6175235215053764 1.9118746633529664 1.891348486305565
7 6 0.636625 0.6625504032258065 1.8629151741663614 1.847881397893352
8 7 0.686625 0.7302587365591398 1.8228577140172322 1.8057919330494379
9 8 0.7415416666666667 0.7511760752688172 1.7803055089314779 1.7647134245082896
10 9 0.7542291666666666 0.7582325268817204 1.7502256110509236 1.7423059594246648
11 10 0.7607708333333333 0.764616935483871 1.7317150996526083 1.724781782396378
12 11 0.7677291666666667 0.7719254032258065 1.7192926041285197 1.713816902970755
13 12 0.7704791666666667 0.7731014784946236 1.71117463239034 1.7070557173862253
14 13 0.771625 0.7736055107526881 1.7053865385055542 1.7027398668309695
15 14 0.7747708333333333 0.7749495967741935 1.7004834445317587 1.6978983327906618
16 15 0.7763333333333333 0.7751176075268817 1.6967166414260864 1.6960316857983988
17 16 0.7790416666666666 0.7767977150537635 1.6929608987172444 1.692371742699736
18 17 0.780125 0.7801579301075269 1.6910814901987712 1.6917471321680213
19 18 0.7817916666666667 0.7827620967741935 1.6882368882497152 1.6861866725388395
20 19 0.7827291666666667 0.7815860215053764 1.6857908573150635 1.6868788478195027
21 20 0.7827083333333333 0.7840221774193549 1.6843910643259685 1.6850647259784002
22 21 0.7848541666666666 0.7857862903225806 1.6823169787724812 1.6813292862266622
23 22 0.7876666666666666 0.7848622311827957 1.6801685171127319 1.6815461574062225
24 23 0.7879791666666667 0.7848622311827957 1.6788572374979656 1.6818229216401295
25 24 0.7890833333333334 0.7859543010752689 1.6776897859573365 1.6799169009731663
26 25 0.7902708333333334 0.7883904569892473 1.6763870159784953 1.6777271570697907
27 26 0.791 0.789986559139785 1.6751194190979004 1.6777111407249206
28 27 0.7918541666666666 0.7886424731182796 1.674490571975708 1.6776156912567795
29 28 0.7936666666666666 0.7905745967741935 1.6728278172810873 1.6744540147883917
30 29 0.793375 0.7876344086021505 1.671903525352478 1.6776354030896259
31 30 0.7945833333333333 0.7901545698924731 1.6710031661987306 1.6751063805754467
32 31 0.7959166666666667 0.7932627688172043 1.6700964994430543 1.6719800926023913
33 32 0.7955833333333333 0.7933467741935484 1.6697869466145834 1.6723043623790945
34 33 0.7971458333333333 0.792002688172043 1.668815224647522 1.6722341519530102
35 34 0.7974375 0.7931787634408602 1.6682115157445272 1.6723163063808153
36 35 0.7979791666666667 0.7947748655913979 1.6676976483662924 1.670254216399244
37 36 0.7984583333333334 0.7950268817204301 1.6669070380528768 1.6704239499184392
38 37 0.799 0.795866935483871 1.6664897476832072 1.6691849411174815
39 38 0.7991875 0.7948588709677419 1.6660230029424032 1.6700230785595473
40 39 0.800125 0.795950940860215 1.6655609397888183 1.6688298884258475
41 40 0.8006458333333333 0.7956989247311828 1.6652250595092772 1.6690674840763051
42 41 0.8006875 0.7962869623655914 1.664971160888672 1.6688041135828982
43 42 0.8015416666666667 0.795866935483871 1.6647087678909303 1.668453808753721
44 43 0.8013958333333333 0.7962029569892473 1.6643381754557292 1.6682484457569737
45 44 0.8016458333333333 0.7965389784946236 1.6641663211186728 1.668392535178892
46 45 0.8017708333333333 0.7957829301075269 1.6640429185231527 1.6681856429705055
47 46 0.8021041666666666 0.7965389784946236 1.663849822362264 1.6680005634984663
48 47 0.8024583333333334 0.7966229838709677 1.663770879427592 1.6679569816076627
49 48 0.8025833333333333 0.7962029569892473 1.6636734215418498 1.6680130330465173
50 49 0.8024583333333334 0.7970430107526881 1.6635978577931723 1.6679544077124646
51 50 0.8025 0.7970430107526881 1.6635685895284016 1.6679527682642783