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readme.txt
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epochs: 400
trajectory_steps: 400
test_trajectoy_steps: 310 #390 is better.
linear_beta_schedule(timesteps, start=0.0001, end=0.008):
hazelnut :
Epoch 0 | Loss: 1.0000674724578857
Epoch 10 | Loss: 0.026760946959257126
Epoch 20 | Loss: 0.010808741673827171
Epoch 30 | Loss: 0.010491462424397469
Epoch 40 | Loss: 0.01092338003218174
Epoch 50 | Loss: 0.011306504718959332
Epoch 60 | Loss: 0.00826417189091444
Epoch 70 | Loss: 0.011218499392271042
Epoch 80 | Loss: 0.0053422097116708755
Epoch 90 | Loss: 0.015159273520112038
Epoch 100 | Loss: 0.00905607733875513
Epoch 110 | Loss: 0.015627948567271233
Epoch 120 | Loss: 0.0053467764519155025
Epoch 130 | Loss: 0.005933383014053106
Epoch 140 | Loss: 0.0032280576415359974
Epoch 150 | Loss: 0.005669111385941505
Epoch 160 | Loss: 0.009285821579396725
Epoch 170 | Loss: 0.007000904530286789
Epoch 180 | Loss: 0.012197529897093773
Epoch 190 | Loss: 0.009083237498998642
Epoch 200 | Loss: 0.006078095640987158
Epoch 210 | Loss: 0.007311773486435413
Epoch 220 | Loss: 0.0041279420256614685
Epoch 230 | Loss: 0.010446860454976559
Epoch 240 | Loss: 0.006088814698159695
Epoch 250 | Loss: 0.008963365107774734
Epoch 260 | Loss: 0.010606858879327774
Epoch 270 | Loss: 0.01155457179993391
Epoch 280 | Loss: 0.00375573942437768
Epoch 290 | Loss: 0.0048829796724021435
Epoch 300 | Loss: 0.009020193479955196
Epoch 310 | Loss: 0.008559874258935452
Epoch 320 | Loss: 0.0070191435515880585
Epoch 330 | Loss: 0.010557042434811592
Epoch 340 | Loss: 0.006025966256856918
Epoch 350 | Loss: 0.006069436203688383
Epoch 360 | Loss: 0.005062625743448734
Epoch 370 | Loss: 0.018688801676034927
Epoch 380 | Loss: 0.005710860248655081
Epoch 390 | Loss: 0.005160055123269558
training time is 2:44:46.997602
AUROC_max: 0.8310713768005371 | AUROC_mean: 0.760357141494751 | auroc_pixel0.9212461709976196 | F1SCORE_max: 0.7777777910232544 | F1SCORE_mean: 0.7777777910232544 | f1_score_pixel: 0.04935864731669426
bottle :
Epoch 0 | Loss: 0.9995336532592773
Epoch 10 | Loss: 0.05283219739794731
Epoch 20 | Loss: 0.026301799342036247
Epoch 30 | Loss: 0.023870378732681274
Epoch 40 | Loss: 0.022533169016242027
Epoch 50 | Loss: 0.02604549005627632
Epoch 60 | Loss: 0.01633557304739952
Epoch 70 | Loss: 0.00745545607060194
Epoch 80 | Loss: 0.012753589078783989
Epoch 90 | Loss: 0.020608410239219666
Epoch 100 | Loss: 0.017410902306437492
Epoch 110 | Loss: 0.01894000731408596
Epoch 120 | Loss: 0.057349782437086105
Epoch 130 | Loss: 0.006361082196235657
Epoch 140 | Loss: 0.01138373278081417
Epoch 150 | Loss: 0.008371016941964626
Epoch 160 | Loss: 0.022664915770292282
Epoch 170 | Loss: 0.019634805619716644
Epoch 180 | Loss: 0.009610968641936779
Epoch 190 | Loss: 0.007835873402655125
Epoch 200 | Loss: 0.013544496148824692
Epoch 210 | Loss: 0.006099764257669449
Epoch 220 | Loss: 0.01032175961881876
Epoch 230 | Loss: 0.010874507948756218
Epoch 240 | Loss: 0.009809336625039577
Epoch 250 | Loss: 0.004811386112123728
Epoch 260 | Loss: 0.01170976459980011
Epoch 270 | Loss: 0.02112591080367565
Epoch 280 | Loss: 0.009030445478856564
Epoch 290 | Loss: 0.01326979324221611
Epoch 300 | Loss: 0.014830805361270905
Epoch 310 | Loss: 0.018193554133176804
Epoch 320 | Loss: 0.004438011907041073
Epoch 330 | Loss: 0.005130534991621971
Epoch 340 | Loss: 0.006774849258363247
Epoch 350 | Loss: 0.01070366334170103
Epoch 360 | Loss: 0.012198923155665398
Epoch 370 | Loss: 0.006250882055610418
Epoch 380 | Loss: 0.015795854851603508
Epoch 390 | Loss: 0.01163915079087019
training time is 1:34:44.091459AUROC_max: 0.9746031761169434 | AUROC_mean: 0.9753968119621277 | auroc_pixel0.9796165823936462 | F1SCORE_max: 0.8630136847496033 | F1SCORE_mean: 0.9333333373069763 | f1_score_pixel: 0.20995807647705078
cable :
Epoch 0 | Loss: 0.9997920989990234
Epoch 10 | Loss: 0.03600849583745003
Epoch 20 | Loss: 0.037398722022771835
Epoch 30 | Loss: 0.025085914880037308
Epoch 40 | Loss: 0.03645818680524826
Epoch 50 | Loss: 0.03441954404115677
Epoch 60 | Loss: 0.022780444473028183
Epoch 70 | Loss: 0.027786513790488243
Epoch 80 | Loss: 0.0348738394677639
Epoch 90 | Loss: 0.02648697793483734
Epoch 100 | Loss: 0.027019821107387543
Epoch 110 | Loss: 0.02688414976000786
Epoch 120 | Loss: 0.01954873837530613
Epoch 130 | Loss: 0.026003658771514893
Epoch 140 | Loss: 0.0287629421800375
Epoch 150 | Loss: 0.020622828975319862
Epoch 160 | Loss: 0.04013993963599205
Epoch 170 | Loss: 0.033412866294384
Epoch 180 | Loss: 0.027577310800552368
Epoch 190 | Loss: 0.02076186239719391
Epoch 200 | Loss: 0.027703149244189262
Epoch 210 | Loss: 0.022802621126174927
Epoch 220 | Loss: 0.02658836357295513
Epoch 230 | Loss: 0.026922911405563354
Epoch 240 | Loss: 0.024915680289268494
Epoch 250 | Loss: 0.024269571527838707
Epoch 260 | Loss: 0.021110419183969498
Epoch 270 | Loss: 0.019149279221892357
Epoch 280 | Loss: 0.025903156027197838
Epoch 290 | Loss: 0.027795908972620964
Epoch 300 | Loss: 0.016033682972192764
Epoch 310 | Loss: 0.035934168845415115
Epoch 320 | Loss: 0.017598388716578484
Epoch 330 | Loss: 0.025463268160820007
Epoch 340 | Loss: 0.059230297803878784
Epoch 350 | Loss: 0.036023303866386414
Epoch 360 | Loss: 0.020762991160154343
Epoch 370 | Loss: 0.02132631465792656
Epoch 380 | Loss: 0.05339285731315613
Epoch 390 | Loss: 0.01770617440342903
training time is 1:49:31.448552AUROC_max: 0.857758641242981 | AUROC_mean: 0.8695653080940247 | auroc_pixel0.8420047760009766 | F1SCORE_max: 0.7603305578231812 | F1SCORE_mean: 0.7603305578231812 | f1_score_pixel: 0.06277461349964142
carpet :
Epoch 0 | Loss: 0.9991427659988403
Epoch 10 | Loss: 0.09373652935028076
Epoch 20 | Loss: 0.06560005247592926
Epoch 30 | Loss: 0.05232095718383789
Epoch 40 | Loss: 0.06805716454982758
Epoch 50 | Loss: 0.044542402029037476
Epoch 60 | Loss: 0.04600781202316284
Epoch 70 | Loss: 0.05134033411741257
Epoch 80 | Loss: 0.04096668213605881
Epoch 90 | Loss: 0.05224424600601196
Epoch 100 | Loss: 0.05199268460273743
Epoch 110 | Loss: 0.0676586925983429
Epoch 120 | Loss: 0.04894336313009262
Epoch 130 | Loss: 0.03707747161388397
Epoch 140 | Loss: 0.05637966841459274
Epoch 150 | Loss: 0.04088554531335831
Epoch 160 | Loss: 0.057456135749816895
Epoch 170 | Loss: 0.05712185427546501
Epoch 180 | Loss: 0.032262444496154785
Epoch 190 | Loss: 0.027962764725089073
Epoch 200 | Loss: 0.024657314643263817
Epoch 210 | Loss: 0.05573461949825287
Epoch 220 | Loss: 0.053247567266225815
Epoch 230 | Loss: 0.027815690264105797
Epoch 240 | Loss: 0.05176239460706711
Epoch 250 | Loss: 0.038890574127435684
Epoch 260 | Loss: 0.06252916902303696
Epoch 270 | Loss: 0.046411268413066864
Epoch 280 | Loss: 0.024412289261817932
Epoch 290 | Loss: 0.059407271444797516
Epoch 300 | Loss: 0.03234201297163963
Epoch 310 | Loss: 0.027533922344446182
Epoch 320 | Loss: 0.0343765914440155
Epoch 330 | Loss: 0.051240645349025726
Epoch 340 | Loss: 0.0309370718896389
Epoch 350 | Loss: 0.05752904340624809
Epoch 360 | Loss: 0.03871710225939751
Epoch 370 | Loss: 0.04712330549955368
Epoch 380 | Loss: 0.05136343091726303
Epoch 390 | Loss: 0.038761038333177567
training time is 2:01:28.242009AUROC_max: 0.9779293537139893 | AUROC_mean: 0.6368378400802612 | auroc_pixel0.9884935021400452 | F1SCORE_max: 0.8640776872634888 | F1SCORE_mean: 0.8640776872634888 | f1_score_pixel: 0.03762750327587128
leather :
Epoch 0 | Loss: 0.9996659159660339
Epoch 10 | Loss: 0.03286103904247284
Epoch 20 | Loss: 0.021048258990049362
Epoch 30 | Loss: 0.038138166069984436
Epoch 40 | Loss: 0.02504543960094452
Epoch 50 | Loss: 0.01911679282784462
Epoch 60 | Loss: 0.018564291298389435
Epoch 70 | Loss: 0.018188107758760452
Epoch 80 | Loss: 0.012385021895170212
Epoch 90 | Loss: 0.03197013959288597
Epoch 100 | Loss: 0.027199823409318924
Epoch 110 | Loss: 0.01251070573925972
Epoch 120 | Loss: 0.03261655941605568
Epoch 130 | Loss: 0.014456253498792648
Epoch 140 | Loss: 0.02568170800805092
Epoch 150 | Loss: 0.019715316593647003
Epoch 160 | Loss: 0.009569501504302025
Epoch 170 | Loss: 0.03666473925113678
Epoch 180 | Loss: 0.016824012622237206
Epoch 190 | Loss: 0.024685142561793327
Epoch 200 | Loss: 0.027458086609840393
Epoch 210 | Loss: 0.01043882966041565
Epoch 220 | Loss: 0.018070761114358902
Epoch 230 | Loss: 0.021286889910697937
Epoch 240 | Loss: 0.013015738688409328
Epoch 250 | Loss: 0.025211339816451073
Epoch 260 | Loss: 0.0265883207321167
Epoch 270 | Loss: 0.030772488564252853
Epoch 280 | Loss: 0.02371838316321373
Epoch 290 | Loss: 0.015894439071416855
Epoch 300 | Loss: 0.014705587178468704
Epoch 310 | Loss: 0.026303892955183983
Epoch 320 | Loss: 0.024292171001434326
Epoch 330 | Loss: 0.020415909588336945
Epoch 340 | Loss: 0.027988430112600327
Epoch 350 | Loss: 0.012149622663855553
Epoch 360 | Loss: 0.016188140958547592
Epoch 370 | Loss: 0.020437849685549736
Epoch 380 | Loss: 0.00885029323399067
Epoch 390 | Loss: 0.022787723690271378
training time is 1:48:01.713407AUROC_max: 0.999660313129425 | AUROC_mean: 0.9806386828422546 | auroc_pixel0.993577241897583 | F1SCORE_max: 0.8518518805503845 | F1SCORE_mean: 0.8518518805503845 | f1_score_pixel: 0.015425452031195164
capsule :
Epoch 0 | Loss: 1.0004247426986694
Epoch 10 | Loss: 0.06822129338979721
Epoch 20 | Loss: 0.016917234286665916
Epoch 30 | Loss: 0.009293398819863796
Epoch 40 | Loss: 0.019650448113679886
Epoch 50 | Loss: 0.008108273148536682
Epoch 60 | Loss: 0.00934605486690998
Epoch 70 | Loss: 0.011007013730704784
Epoch 80 | Loss: 0.00767999142408371
Epoch 90 | Loss: 0.028828412294387817
Epoch 100 | Loss: 0.02917475625872612
Epoch 110 | Loss: 0.020524974912405014
Epoch 120 | Loss: 0.0041993120685219765
Epoch 130 | Loss: 0.007893113419413567
Epoch 140 | Loss: 0.00510342326015234
Epoch 150 | Loss: 0.014446559362113476
Epoch 160 | Loss: 0.005519793834537268
Epoch 170 | Loss: 0.0035960122477263212
Epoch 180 | Loss: 0.006455480586737394
Epoch 190 | Loss: 0.009838083758950233
Epoch 200 | Loss: 0.015051520429551601
Epoch 210 | Loss: 0.010465720668435097
Epoch 220 | Loss: 0.0075728073716163635
Epoch 230 | Loss: 0.003141327528283
Epoch 240 | Loss: 0.026245862245559692
Epoch 250 | Loss: 0.0025978481862694025
Epoch 260 | Loss: 0.005866438150405884
Epoch 270 | Loss: 0.004405531100928783
Epoch 280 | Loss: 0.005774924531579018
Epoch 290 | Loss: 0.004490708000957966
Epoch 300 | Loss: 0.005218524485826492
Epoch 310 | Loss: 0.00971416849642992
Epoch 320 | Loss: 0.0034123212099075317
Epoch 330 | Loss: 0.016242636367678642
Epoch 340 | Loss: 0.010535048320889473
Epoch 350 | Loss: 0.006567270960658789
Epoch 360 | Loss: 0.007198280654847622
Epoch 370 | Loss: 0.0022767693735659122
Epoch 380 | Loss: 0.022893330082297325
Epoch 390 | Loss: 0.011415554210543633
training time is 1:38:38.844981
AUROC_max: 0.618667721748352 | AUROC_mean: 0.7299562096595764 | auroc_pixel0.7838080525398254 | F1SCORE_max: 0.9045643210411072 | F1SCORE_mean: 0.9045643210411072 | f1_score_pixel: 0.029332168400287628
grid :
------------------------------------------------------------------------------------------------------------------------------------------------AUROC_max: 0.8839285373687744 | AUROC_mean: 0.753928542137146 | auroc_pixel0.9386616349220276 | F1SCORE_max: 0.7777777910232544 | F1SCORE_mean: 0.7777777910232544 | f1_score_pixel: 0.049099117517471313AUROC_max: 0.9936507940292358 | AUROC_mean: 0.9730157852172852 | auroc_pixel0.979560375213623 | F1SCORE_max: 0.8630136847496033 | F1SCORE_mean: 0.9323307871818542 | f1_score_pixel: 0.19859066605567932AUROC_max: 0.7788605690002441 | AUROC_mean: 0.8277736306190491 | auroc_pixel0.8691297769546509 | F1SCORE_max: 0.7603305578231812 | F1SCORE_mean: 0.7603305578231812 | f1_score_pixel: 0.06235988065600395AUROC_max: 0.985954999923706 | AUROC_mean: 0.6536917686462402 | auroc_pixel0.988694965839386 | F1SCORE_max: 0.8640776872634888 | F1SCORE_mean: 0.8640776872634888 | f1_score_pixel: 0.03667046129703522