Commit 7f2b30c8 authored by zpgeng's avatar zpgeng
Browse files

Update EEGNet and (with split) final results

parent 1be0eff2
epoch;accuracy;loss;val_accuracy;val_loss
0;0.7358340620994568;0.5385481715202332;0.7511386871337891;0.5866023302078247
1;0.7785561680793762;0.4777393043041229;0.7696342468261719;0.5547884702682495
2;0.788977861404419;0.45594295859336853;0.7888198494911194;0.47066929936408997
3;0.7951894402503967;0.44240590929985046;0.7834368348121643;0.4817820191383362
4;0.8010559678077698;0.43211954832077026;0.7932367324829102;0.4711613953113556
5;0.8073366284370422;0.421351820230484;0.8038647174835205;0.44752225279808044
6;0.8086824417114258;0.4172353744506836;0.808833658695221;0.4405549466609955
7;0.812720000743866;0.40753239393234253;0.7982056736946106;0.53626948595047
8;0.8171716332435608;0.4017122685909271;0.8063492178916931;0.4410620629787445
9;0.8175857663154602;0.3997105658054352;0.8165631294250488;0.4205530881881714
10;0.8222789764404297;0.39452677965164185;0.8135265707969666;0.4191926419734955
11;0.8216923475265503;0.3884597718715668;0.7754313349723816;0.5580320954322815
12;0.8230381608009338;0.3898855745792389;0.7976535558700562;0.5235413312911987
13;0.8297674059867859;0.38154974579811096;0.7661835551261902;0.5633795261383057
14;0.8293532729148865;0.3764566481113434;0.8222222328186035;0.41378363966941833
15;0.8337014317512512;0.37321236729621887;0.7991718649864197;0.5593438744544983
16;0.8367382287979126;0.36589521169662476;0.8258109092712402;0.41215482354164124
17;0.8352543115615845;0.3674009442329407;0.8331263065338135;0.3884049654006958
18;0.8393954038619995;0.3590724766254425;0.8349206447601318;0.38026002049446106
19;0.8429498076438904;0.35249507427215576;0.8400276303291321;0.3869238793849945
20;0.8443992137908936;0.34971675276756287;0.8447204828262329;0.38910406827926636
21;0.8473324775695801;0.3457358479499817;0.8197377324104309;0.4255404472351074
22;0.8500931859016418;0.33987346291542053;0.8443064093589783;0.3657073974609375
23;0.850886881351471;0.3342728912830353;0.8425120711326599;0.4227851629257202
24;0.8510594367980957;0.3343319594860077;0.8386473655700684;0.4143042266368866
25;0.8552349805831909;0.33097073435783386;0.8455486297607422;0.38535603880882263
26;0.8564082980155945;0.32773923873901367;0.7518288493156433;0.5122895240783691
27;0.8591344952583313;0.32485654950141907;0.843478262424469;0.3997209370136261
28;0.8582027554512024;0.32295548915863037;0.857556939125061;0.34449201822280884
29;0.8585823774337769;0.3230568766593933;0.861007571220398;0.33692675828933716
30;0.8623093366622925;0.3213944435119629;0.6886128187179565;0.5477479696273804
31;0.8611705303192139;0.3171550929546356;0.8351966738700867;0.3900296688079834
32;0.8591690063476562;0.31797564029693604;0.8611456155776978;0.3380075693130493
33;0.861757218837738;0.3157983422279358;0.8593512773513794;0.33931753039360046
34;0.86020427942276;0.3142315149307251;0.8126984238624573;0.4892773926258087
35;0.8640347719192505;0.3120156228542328;0.8552104830741882;0.36971938610076904
36;0.8627234697341919;0.3123825788497925;0.8612836599349976;0.3454805314540863
37;0.8625854253768921;0.3130212426185608;0.859765350818634;0.34146273136138916
38;0.8613775968551636;0.31194907426834106;0.8594893217086792;0.3375081419944763
39;0.8668645024299622;0.306325227022171;0.856590747833252;0.37039273977279663
40;0.8636552095413208;0.31084272265434265;0.8520358800888062;0.35063380002975464
41;0.8655186891555786;0.308007150888443;0.8517598509788513;0.34871652722358704
42;0.8674511909484863;0.30579912662506104;0.7287784814834595;0.505535900592804
43;0.8649665117263794;0.30568844079971313;0.7815045118331909;0.5081446170806885
44;0.8693146705627441;0.3040030598640442;0.8549344539642334;0.3499152362346649
45;0.8682448863983154;0.3038051426410675;0.8659765124320984;0.32450321316719055
46;0.8665539622306824;0.3034495711326599;0.861835777759552;0.34057101607322693
47;0.8653461337089539;0.30629268288612366;0.8626639246940613;0.3333982825279236
48;0.8676927089691162;0.3035631477832794;0.8717736601829529;0.3236561417579651
49;0.8714541792869568;0.301565021276474;0.8677708506584167;0.33309125900268555
best_model_train_loss,best_model_val_loss,best_model_train_acc,best_model_val_acc
0.3035631477832794,0.3236561417579651,0.8676927089691162,0.8717736601829529
loss,accuracy,val_loss,val_accuracy
0.5385481715202332,0.7358340620994568,0.5866023302078247,0.7511386871337891
0.4777393043041229,0.7785561680793762,0.5547884702682495,0.7696342468261719
0.45594295859336853,0.788977861404419,0.47066929936408997,0.7888198494911194
0.44240590929985046,0.7951894402503967,0.4817820191383362,0.7834368348121643
0.43211954832077026,0.8010559678077698,0.4711613953113556,0.7932367324829102
0.421351820230484,0.8073366284370422,0.44752225279808044,0.8038647174835205
0.4172353744506836,0.8086824417114258,0.4405549466609955,0.808833658695221
0.40753239393234253,0.812720000743866,0.53626948595047,0.7982056736946106
0.4017122685909271,0.8171716332435608,0.4410620629787445,0.8063492178916931
0.3997105658054352,0.8175857663154602,0.4205530881881714,0.8165631294250488
0.39452677965164185,0.8222789764404297,0.4191926419734955,0.8135265707969666
0.3884597718715668,0.8216923475265503,0.5580320954322815,0.7754313349723816
0.3898855745792389,0.8230381608009338,0.5235413312911987,0.7976535558700562
0.38154974579811096,0.8297674059867859,0.5633795261383057,0.7661835551261902
0.3764566481113434,0.8293532729148865,0.41378363966941833,0.8222222328186035
0.37321236729621887,0.8337014317512512,0.5593438744544983,0.7991718649864197
0.36589521169662476,0.8367382287979126,0.41215482354164124,0.8258109092712402
0.3674009442329407,0.8352543115615845,0.3884049654006958,0.8331263065338135
0.3590724766254425,0.8393954038619995,0.38026002049446106,0.8349206447601318
0.35249507427215576,0.8429498076438904,0.3869238793849945,0.8400276303291321
0.34971675276756287,0.8443992137908936,0.38910406827926636,0.8447204828262329
0.3457358479499817,0.8473324775695801,0.4255404472351074,0.8197377324104309
0.33987346291542053,0.8500931859016418,0.3657073974609375,0.8443064093589783
0.3342728912830353,0.850886881351471,0.4227851629257202,0.8425120711326599
0.3343319594860077,0.8510594367980957,0.4143042266368866,0.8386473655700684
0.33097073435783386,0.8552349805831909,0.38535603880882263,0.8455486297607422
0.32773923873901367,0.8564082980155945,0.5122895240783691,0.7518288493156433
0.32485654950141907,0.8591344952583313,0.3997209370136261,0.843478262424469
0.32295548915863037,0.8582027554512024,0.34449201822280884,0.857556939125061
0.3230568766593933,0.8585823774337769,0.33692675828933716,0.861007571220398
0.3213944435119629,0.8623093366622925,0.5477479696273804,0.6886128187179565
0.3171550929546356,0.8611705303192139,0.3900296688079834,0.8351966738700867
0.31797564029693604,0.8591690063476562,0.3380075693130493,0.8611456155776978
0.3157983422279358,0.861757218837738,0.33931753039360046,0.8593512773513794
0.3142315149307251,0.86020427942276,0.4892773926258087,0.8126984238624573
0.3120156228542328,0.8640347719192505,0.36971938610076904,0.8552104830741882
0.3123825788497925,0.8627234697341919,0.3454805314540863,0.8612836599349976
0.3130212426185608,0.8625854253768921,0.34146273136138916,0.859765350818634
0.31194907426834106,0.8613775968551636,0.3375081419944763,0.8594893217086792
0.306325227022171,0.8668645024299622,0.37039273977279663,0.856590747833252
0.31084272265434265,0.8636552095413208,0.35063380002975464,0.8520358800888062
0.308007150888443,0.8655186891555786,0.34871652722358704,0.8517598509788513
0.30579912662506104,0.8674511909484863,0.505535900592804,0.7287784814834595
0.30568844079971313,0.8649665117263794,0.5081446170806885,0.7815045118331909
0.3040030598640442,0.8693146705627441,0.3499152362346649,0.8549344539642334
0.3038051426410675,0.8682448863983154,0.32450321316719055,0.8659765124320984
0.3034495711326599,0.8665539622306824,0.34057101607322693,0.861835777759552
0.30629268288612366,0.8653461337089539,0.3333982825279236,0.8626639246940613
0.3035631477832794,0.8676927089691162,0.3236561417579651,0.8717736601829529
0.301565021276474,0.8714541792869568,0.33309125900268555,0.8677708506584167
INFO:root:Started the Logging
INFO:root:X training loaded.
INFO:root:(129, 500, 36223)
INFO:root:y training loaded.
INFO:root:(1, 36223)
INFO:root:Setting the shapes
INFO:root:(36223, 500, 129)
INFO:root:(36223, 1)
INFO:root:Started running EEGNet. If you want to run other methods please choose another model in the config.py file.
INFO:root:(36223, 129, 500)
INFO:root:**********
INFO:root:--- Runtime: 1467.468109846115 seconds ---
INFO:root:Finished Logging
epoch;accuracy;loss;val_accuracy;val_loss
0;0.7396300435066223;0.5206829309463501;0.7784678936004639;0.4811725318431854
1;0.7810062766075134;0.4573596715927124;0.7758454084396362;0.46661877632141113
2;0.7958796620368958;0.4324336349964142;0.7914423942565918;0.44431766867637634
3;0.7992615103721619;0.42089715600013733;0.7961352467536926;0.42658576369285583
4;0.8075781464576721;0.40928393602371216;0.7924085855484009;0.44129738211631775
5;0.8162053823471069;0.3999960720539093;0.7998619675636292;0.43455904722213745
6;0.8191731572151184;0.3936040997505188;0.802208423614502;0.4315289258956909
7;0.8273863196372986;0.381115585565567;0.805383026599884;0.4265654981136322
8;0.8332182765007019;0.3699759542942047;0.797929584980011;0.44067907333374023
9;0.8340465426445007;0.3650493621826172;0.8168392181396484;0.40714460611343384
10;0.8369452953338623;0.3549250066280365;0.8095238208770752;0.4212113320827484
11;0.8429843187332153;0.34804409742355347;0.8128364682197571;0.4208640456199646
12;0.8471944332122803;0.342727392911911;0.8126984238624573;0.43149110674858093
13;0.8512319922447205;0.33234041929244995;0.8082816004753113;0.43046754598617554
14;0.8554075360298157;0.32713764905929565;0.811870276927948;0.4232676029205322
15;0.8587894439697266;0.3195270597934723;0.809661865234375;0.433383971452713
16;0.8613430857658386;0.3122771978378296;0.7866114377975464;0.4922506511211395
17;0.8647939562797546;0.3050607144832611;0.8122843503952026;0.4185386002063751
18;0.8683829307556152;0.30005747079849243;0.8115941882133484;0.44812363386154175
19;0.8691766262054443;0.2973470687866211;0.8149068355560303;0.44328632950782776
20;0.8729726076126099;0.2904996871948242;0.8182194828987122;0.44443392753601074
21;0.8748360872268677;0.28632891178131104;0.7770876288414001;0.5054292678833008
22;0.8814272880554199;0.2746252715587616;0.8071773648262024;0.4474099278450012
23;0.8812892436981201;0.27401605248451233;0.770738422870636;0.5377306342124939
24;0.884705662727356;0.26605936884880066;0.795721173286438;0.47452834248542786
25;0.8888812065124512;0.253684937953949;0.8124223351478577;0.4700196087360382
26;0.892470121383667;0.2557038366794586;0.8169772028923035;0.4593765437602997
27;0.8909172415733337;0.2510005235671997;0.8172532916069031;0.4646775424480438
28;0.8978880643844604;0.24015867710113525;0.8138025999069214;0.4809965491294861
29;0.8987852931022644;0.2346521019935608;0.8238785266876221;0.43302276730537415
30;0.901684045791626;0.232500359416008;0.8274672031402588;0.4275500476360321
31;0.9048243761062622;0.22528280317783356;0.7994478940963745;0.536920428276062
32;0.9081372022628784;0.21737071871757507;0.8180814385414124;0.4725431203842163
33;0.9080681800842285;0.21435047686100006;0.8245686888694763;0.460803747177124
34;0.9114155769348145;0.2125682383775711;0.8236024975776672;0.4668775796890259
35;0.9107943773269653;0.21030552685260773;0.804416835308075;0.5085271000862122
36;0.9137276411056519;0.20535528659820557;0.8224982619285583;0.49429377913475037
37;0.9152460694313049;0.20282351970672607;0.8328502178192139;0.46423816680908203
38;0.9177306890487671;0.19707171618938446;0.8247066736221313;0.48337602615356445
39;0.9208710193634033;0.18924455344676971;0.8299517035484314;0.5091580748558044
40;0.9176271557807922;0.19324979186058044;0.8332642912864685;0.47317153215408325
41;0.9250120520591736;0.18176214396953583;0.828157365322113;0.5327861309051514
42;0.9232175946235657;0.18535660207271576;0.8190476298332214;0.5168960690498352
43;0.9260473251342773;0.17791563272476196;0.8158730268478394;0.5414687395095825
44;0.9255987405776978;0.17871329188346863;0.8266390562057495;0.5055331587791443
45;0.9260473251342773;0.1796717345714569;0.8376811742782593;0.48411259055137634
46;0.9266685247421265;0.1741173416376114;0.8237404823303223;0.5061240792274475
47;0.9292911887168884;0.17371337115764618;0.8289855122566223;0.5352761745452881
48;0.9323970079421997;0.16521784663200378;0.8129744529724121;0.5457478761672974
49;0.9303954839706421;0.1694493442773819;0.8245686888694763;0.5124908685684204
best_model_train_loss,best_model_val_loss,best_model_train_acc,best_model_val_acc
0.1796717345714569,0.48411259055137634,0.9260473251342773,0.8376811742782593
loss,accuracy,val_loss,val_accuracy
0.5206829309463501,0.7396300435066223,0.4811725318431854,0.7784678936004639
0.4573596715927124,0.7810062766075134,0.46661877632141113,0.7758454084396362
0.4324336349964142,0.7958796620368958,0.44431766867637634,0.7914423942565918
0.42089715600013733,0.7992615103721619,0.42658576369285583,0.7961352467536926
0.40928393602371216,0.8075781464576721,0.44129738211631775,0.7924085855484009
0.3999960720539093,0.8162053823471069,0.43455904722213745,0.7998619675636292
0.3936040997505188,0.8191731572151184,0.4315289258956909,0.802208423614502
0.381115585565567,0.8273863196372986,0.4265654981136322,0.805383026599884
0.3699759542942047,0.8332182765007019,0.44067907333374023,0.797929584980011
0.3650493621826172,0.8340465426445007,0.40714460611343384,0.8168392181396484
0.3549250066280365,0.8369452953338623,0.4212113320827484,0.8095238208770752
0.34804409742355347,0.8429843187332153,0.4208640456199646,0.8128364682197571
0.342727392911911,0.8471944332122803,0.43149110674858093,0.8126984238624573
0.33234041929244995,0.8512319922447205,0.43046754598617554,0.8082816004753113
0.32713764905929565,0.8554075360298157,0.4232676029205322,0.811870276927948
0.3195270597934723,0.8587894439697266,0.433383971452713,0.809661865234375
0.3122771978378296,0.8613430857658386,0.4922506511211395,0.7866114377975464
0.3050607144832611,0.8647939562797546,0.4185386002063751,0.8122843503952026
0.30005747079849243,0.8683829307556152,0.44812363386154175,0.8115941882133484
0.2973470687866211,0.8691766262054443,0.44328632950782776,0.8149068355560303
0.2904996871948242,0.8729726076126099,0.44443392753601074,0.8182194828987122
0.28632891178131104,0.8748360872268677,0.5054292678833008,0.7770876288414001
0.2746252715587616,0.8814272880554199,0.4474099278450012,0.8071773648262024
0.27401605248451233,0.8812892436981201,0.5377306342124939,0.770738422870636
0.26605936884880066,0.884705662727356,0.47452834248542786,0.795721173286438
0.253684937953949,0.8888812065124512,0.4700196087360382,0.8124223351478577
0.2557038366794586,0.892470121383667,0.4593765437602997,0.8169772028923035
0.2510005235671997,0.8909172415733337,0.4646775424480438,0.8172532916069031
0.24015867710113525,0.8978880643844604,0.4809965491294861,0.8138025999069214
0.2346521019935608,0.8987852931022644,0.43302276730537415,0.8238785266876221
0.232500359416008,0.901684045791626,0.4275500476360321,0.8274672031402588
0.22528280317783356,0.9048243761062622,0.536920428276062,0.7994478940963745
0.21737071871757507,0.9081372022628784,0.4725431203842163,0.8180814385414124
0.21435047686100006,0.9080681800842285,0.460803747177124,0.8245686888694763
0.2125682383775711,0.9114155769348145,0.4668775796890259,0.8236024975776672
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INFO:root:Started the Logging
INFO:root:X training loaded.
INFO:root:(129, 500, 36223)
INFO:root:y training loaded.
INFO:root:(1, 36223)
INFO:root:Setting the shapes
INFO:root:(36223, 500, 129)
INFO:root:(36223, 1)
INFO:root:Started running EEGNet. If you want to run other methods please choose another model in the config.py file.
INFO:root:(36223, 129, 500)
INFO:root:**********
INFO:root:--- Runtime: 2173.6682386398315 seconds ---
INFO:root:Finished Logging
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