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Commit 087efece authored by Ard Kastrati's avatar Ard Kastrati
Browse files

Added the results of Xception without shuffling for ETRA

parent 0669c717
......@@ -42,7 +42,7 @@ Cluster can be set to clustering(), clustering2() or clustering3(), where differ
"""
# Choosing model
config['model'] = 'eegnet'
config['model'] = 'xception'
config['downsampled'] = False
config['split'] = False
config['cluster'] = clustering()
......
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49;0.988210141658783;0.03215639293193817;0.7678447961807251;0.7681138515472412
0;0.5432984232902527;0.6872373819351196;0.5503811240196228;0.7862438559532166
1;0.6568877696990967;0.6135847568511963;0.6826056838035583;0.6083251237869263
2;0.7590320110321045;0.48632127046585083;0.7803187966346741;0.49396392703056335
3;0.8090526461601257;0.4077982008457184;0.792792797088623;0.45518210530281067
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8;0.8840664625167847;0.2681817412376404;0.8293832540512085;0.3984169065952301
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16;0.9486004114151001;0.13138101994991302;0.8055440187454224;0.673036515712738
17;0.952599287033081;0.11804359406232834;0.7988911867141724;0.7322263717651367
18;0.9598041772842407;0.10475315153598785;0.8306306600570679;0.6242427825927734
19;0.9598731398582458;0.10102818161249161;0.8164933919906616;0.6589043736457825
20;0.9620794057846069;0.0973224937915802;0.7782397866249084;0.9415901303291321
21;0.9657335877418518;0.08947163075208664;0.7847539782524109;0.9182246327400208
22;0.9662851691246033;0.08756092190742493;0.8097020387649536;0.7735375761985779
23;0.9732142686843872;0.07203775644302368;0.8188496232032776;0.7661651968955994
24;0.9698014259338379;0.07796616107225418;0.8160775899887085;0.6136279702186584
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26;0.97428297996521;0.06811662763357162;0.8098406195640564;0.7253077626228333
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33;0.9830736517906189;0.044798120856285095;0.800970196723938;1.0199328660964966
34;0.9800055027008057;0.05606933310627937;0.8436590433120728;0.7216145396232605
35;0.9815912842750549;0.04916482791304588;0.8498960733413696;0.6659950613975525
36;0.9844870567321777;0.0441364124417305;0.8130283951759338;0.8322834372520447
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39;0.9843491315841675;0.043006137013435364;0.8439362645149231;0.6544556021690369
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47;0.9856935739517212;0.03941978141665459;0.8541926741600037;0.6104390025138855
48;0.9873483180999756;0.03569929674267769;0.8360360264778137;0.8578477501869202
49;0.988210141658783;0.03323817253112793;0.8285516500473022;0.9032072424888611
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 xception. If you want to run other methods please choose another model in the config.py file.
INFO:root:Parameters:
INFO:root:--------------- use residual : True
INFO:root:--------------- depth : 18
INFO:root:--------------- batch size : 64
INFO:root:--------------- kernel size : 40
INFO:root:--------------- nb filters : 64
INFO:root:--------------- preprocessing: False
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0461s vs `on_train_batch_end` time: 0.1208s). Check your callbacks.
INFO:root:Parameters:
INFO:root:--------------- use residual : True
INFO:root:--------------- depth : 18
INFO:root:--------------- batch size : 64
INFO:root:--------------- kernel size : 40
INFO:root:--------------- nb filters : 64
INFO:root:--------------- preprocessing: False
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0418s vs `on_train_batch_end` time: 0.1218s). Check your callbacks.
INFO:root:Parameters:
INFO:root:--------------- use residual : True
INFO:root:--------------- depth : 18
INFO:root:--------------- batch size : 64
INFO:root:--------------- kernel size : 40
INFO:root:--------------- nb filters : 64
INFO:root:--------------- preprocessing: False
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0607s vs `on_train_batch_end` time: 0.1246s). Check your callbacks.
INFO:root:Parameters:
INFO:root:--------------- use residual : True
INFO:root:--------------- depth : 18
INFO:root:--------------- batch size : 64
INFO:root:--------------- kernel size : 40
INFO:root:--------------- nb filters : 64
INFO:root:--------------- preprocessing: False
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0480s vs `on_train_batch_end` time: 0.1153s). Check your callbacks.
INFO:root:Parameters:
INFO:root:--------------- use residual : True
INFO:root:--------------- depth : 18
INFO:root:--------------- batch size : 64
INFO:root:--------------- kernel size : 40
INFO:root:--------------- nb filters : 64
INFO:root:--------------- preprocessing: False
WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0433s vs `on_train_batch_end` time: 0.1280s). Check your callbacks.
INFO:root:**********
INFO:root:--- Runtime: 21200.742160081863 seconds ---
INFO:root:Finished Logging
This diff is collapsed.
best_model_train_loss,best_model_val_loss,best_model_train_acc,best_model_val_acc
0.044100865721702576,0.274628221988678,0.9846938848495483,0.8928620928620928
loss,accuracy,val_loss,val_accuracy
0.6872373819351196,0.5432984232902527,0.6471269130706787,0.6228690228690229
0.6135847568511963,0.6568877696990967,0.518001139163971,0.7586971586971587
0.48632127046585083,0.7590320110321045,0.4856957495212555,0.7685377685377686
0.4077982008457184,0.8090526461601257,0.3958289623260498,0.8162162162162162
0.3676946461200714,0.831977367401123,0.40107041597366333,0.8248094248094248
0.33487430214881897,0.8507652878761292,0.39496323466300964,0.8205128205128205
0.3106069564819336,0.8644167184829712,0.3532697856426239,0.8408870408870409
0.28623491525650024,0.875,0.3544328212738037,0.8455994455994456
0.2681817412376404,0.8840664625167847,0.3511938452720642,0.8467082467082467
0.24169683456420898,0.8984763026237488,0.33045798540115356,0.8598752598752599
0.22348102927207947,0.9077151417732239,0.34029486775398254,0.8583506583506584
0.2035745084285736,0.9151958227157593,0.3493419885635376,0.8525294525294526
0.18362584710121155,0.9255033135414124,0.31854048371315,0.8644490644490644
0.16590352356433868,0.9342595338821411,0.31588828563690186,0.8632016632016632
0.1540815681219101,0.9382239580154419,0.3324652314186096,0.8601524601524602
0.1413746178150177,0.9442567825317383,0.3240969777107239,0.8618156618156618
0.13138101994991302,0.9486004114151001,0.3401551842689514,0.8522522522522522
0.11804359406232834,0.952599287033081,0.37491196393966675,0.8353430353430353
0.10475315153598785,0.9598041772842407,0.33474206924438477,0.8551628551628552
0.10102818161249161,0.9598731398582458,0.33778661489486694,0.8561330561330561
0.0973224937915802,0.9620794057846069,0.30719897150993347,0.872072072072072
0.08947163075208664,0.9657335877418518,0.30639007687568665,0.8711018711018711
0.08756092190742493,0.9662851691246033,0.324374258518219,0.8716562716562717
0.07203775644302368,0.9732142686843872,0.3561975955963135,0.8541926541926542
0.07796616107225418,0.9698014259338379,0.3101528584957123,0.8683298683298684
0.07340303063392639,0.9720766544342041,0.3274589478969574,0.8693000693000693
0.06811662763357162,0.97428297996521,0.3246564567089081,0.8817740817740818
0.06279121339321136,0.9766960740089417,0.31805068254470825,0.8690228690228691
0.060125019401311874,0.9779026508331299,0.2854554057121277,0.883991683991684
0.061880018562078476,0.9763513803482056,0.31547990441322327,0.8708246708246709
0.0549708716571331,0.9788678884506226,0.2943638861179352,0.8823284823284824
0.05483236163854599,0.978350818157196,0.3298782408237457,0.8687456687456687
0.061826933175325394,0.9769029021263123,0.29896557331085205,0.8817740817740818
0.044798120856285095,0.9830736517906189,0.3707897365093231,0.8572418572418572
0.05606933310627937,0.9800055027008057,0.32842326164245605,0.8677754677754678
0.04916482791304588,0.9815912842750549,0.29770803451538086,0.8863478863478863
0.0441364124417305,0.9844870567321777,0.3399801254272461,0.8717948717948718
0.045276254415512085,0.9841078519821167,0.2913673222064972,0.8828828828828829
0.04943303391337395,0.982349693775177,0.2833980619907379,0.8855162855162855
0.043006137013435364,0.9843491315841675,0.2840363085269928,0.8866250866250867
0.0415826141834259,0.984211266040802,0.288609117269516,0.888011088011088
0.044100865721702576,0.9846938848495483,0.274628221988678,0.8928620928620928
0.0368867926299572,0.9861762523651123,0.3110159933567047,0.8773388773388774
0.03883923217654228,0.9859693646430969,0.2979432940483093,0.8873180873180874
0.04036556929349899,0.9858314990997314,0.3445793688297272,0.8702702702702703
0.04076900705695152,0.98527991771698,0.3220714032649994,0.8712404712404712
0.03785277530550957,0.9865554571151733,0.294803649187088,0.8881496881496882
0.03941978141665459,0.9856935739517212,0.2757953405380249,0.891060291060291
0.03569929674267769,0.9873483180999756,0.2734629213809967,0.8914760914760915
0.03323817253112793,0.988210141658783,0.2949323058128357,0.8814968814968815
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