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results.txt
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accuracy vgg16 16 2.0 SGD triangular 0.7098039388656616
loss vgg16 16 2.0 SGD triangular 1.131689429283142
accuracy vgg16 16 2.0 SGD triangular 0.7176470756530762
loss vgg16 16 2.0 SGD triangular 1.1020591259002686
accuracy vgg16 16 2.0 Adam triangular 0.029411764815449715
loss vgg16 16 2.0 Adam triangular 4.2986226081848145
accuracy vgg16 16 2.0 Adam triangular 0.021568628028035164
loss vgg16 16 2.0 Adam triangular 4.556743144989014
accuracy vgg16 16 4.0 SGD triangular 0.7872549295425415
loss vgg16 16 4.0 SGD triangular 0.8108363747596741
accuracy vgg16 16 4.0 SGD triangular 0.79313725233078
loss vgg16 16 4.0 SGD triangular 0.756705105304718
accuracy vgg16 16 4.0 SGD triangular 0.7696078419685364
loss vgg16 16 4.0 SGD triangular 0.8987615704536438
accuracy vgg16 16 4.0 SGD triangular 0.7823529243469238
loss vgg16 16 4.0 SGD triangular 0.8184181451797485
accuracy resnet18 16 4.0 SGD triangular 0.04215686395764351
loss resnet18 16 4.0 SGD triangular 4.591560363769531
accuracy resnet18 16 4.0 SGD triangular 0.045098040252923965
loss resnet18 16 4.0 SGD triangular 4.591971397399902
accuracy resnet18 16 4.0 SGD triangular 0.04215686395764351
loss resnet18 16 4.0 SGD triangular 4.591759204864502
accuracy resnet18 16 4.0 SGD triangular 0.04215686395764351
loss resnet18 16 4.0 SGD triangular 4.5928215980529785
accuracy resnet18 16 4.0 SGD triangular 0.04215686395764351
loss resnet18 16 4.0 SGD triangular 4.591818332672119
accuracy resnet18 16 4.0 SGD triangular 0.04411764815449715
loss resnet18 16 4.0 SGD triangular 4.592566013336182
accuracy resnet18 16 4.0 SGD triangular 0.04215686395764351
loss resnet18 16 4.0 SGD triangular 4.591759204864502
accuracy resnet18 16 4.0 SGD triangular 0.04313725605607033
loss resnet18 16 4.0 SGD triangular 4.592872142791748
accuracy inceptionv3 16 2.0 SGD triangular 0.906862735748291
loss inceptionv3 16 2.0 SGD triangular 0.33580684661865234
accuracy inceptionv3 16 2.0 SGD triangular 0.9156862497329712
loss inceptionv3 16 2.0 SGD triangular 0.31881991028785706
accuracy inceptionv3 16 2.0 Adam triangular 0.9401960968971252
loss inceptionv3 16 2.0 Adam triangular 0.2537413239479065
accuracy inceptionv3 16 2.0 Adam triangular 0.9382352828979492
loss inceptionv3 16 2.0 Adam triangular 0.23544684052467346
accuracy inceptionv3 16 4.0 SGD triangular 0.9039215445518494
loss inceptionv3 16 4.0 SGD triangular 0.37610429525375366
accuracy inceptionv3 16 4.0 SGD triangular 0.8950980305671692
loss inceptionv3 16 4.0 SGD triangular 0.393987774848938
accuracy inceptionv3 16 4.0 Adam triangular 0.9313725233078003
loss inceptionv3 16 4.0 Adam triangular 0.313821941614151
accuracy inceptionv3 16 4.0 Adam triangular 0.906862735748291
loss inceptionv3 16 4.0 Adam triangular 0.4383770823478699
accuracy inceptionv3 16 8 Adam triangular 0.9392156600952148
loss inceptionv3 16 8 Adam triangular 0.25803864002227783
accuracy inceptionv3 16 8 Adam triangular 0.9490196108818054 <<<<<<<<<<<<<<<<<< no aug
loss inceptionv3 16 8 Adam triangular 0.2190467119216919
accuracy inceptionv3 16 8 Adam triangular 0.9470587968826294 <<<<<<<<<<<<<<<<<< aug
loss inceptionv3 16 8 Adam triangular 0.22501905262470245
accuracy inceptionv3 16 8 Adam triangular 0.8676470518112183
loss inceptionv3 16 8 Adam triangular 0.5604623556137085
accuracy inceptionv3 16 8 Adam triangular 0.9480392336845398
loss inceptionv3 16 8 Adam triangular 0.2009575366973877
accuracy frozeninceptionv3 16 8 Adam triangular 0.9509803652763367
loss frozeninceptionv3 16 8 Adam triangular 0.25363099575042725
accuracy custom 16 8 Adam triangular 0.4735293984413147
loss custom 16 8 Adam triangular 1.9692713022232056
accuracy custom 16 8 Adam triangular2 0.3921568691730499
loss custom 16 8 Adam triangular2 3.005720853805542
accuracy custom 128 8 Adam triangular2 0.36666667461395264
loss custom 128 8 Adam triangular2 3.1324079036712646
accuracy custom 128 8 Adam triangular 0.3745098114013672
loss custom 128 8 Adam triangular 3.2138495445251465
accuracy custom 16 8 Adam triangular 0.3843137323856354
loss custom 16 8 Adam triangular 3.075228452682495
accuracy fullfrozeninceptionv3 16 8 Adam triangular 0.8382353186607361
loss fullfrozeninceptionv3 16 8 Adam triangular 0.6394252777099609
accuracy inceptionv3 16 8 Adam triangular 0.6166666746139526
loss inceptionv3 16 8 Adam triangular 1.6653729677200317
accuracy inceptionv3 8 8 Adam triangular 0.6313725709915161
loss inceptionv3 8 8 Adam triangular 1.5568448305130005
accuracy inceptionv3 4 8 Adam triangular 0.5568627715110779
loss inceptionv3 4 8 Adam triangular 2.0829904079437256
accuracy inceptionv3 16 8 SGD triangular 0.4892156720161438
loss inceptionv3 16 8 SGD triangular 2.319267511367798
accuracy inceptionv3 8 8 SGD triangular 0.6284313797950745
loss inceptionv3 8 8 SGD triangular 1.5974136590957642
accuracy inceptionv3 4 8 SGD triangular 0.5921568870544434
loss inceptionv3 4 8 SGD triangular 1.8805285692214966
accuracy resnet18 64 2.0 Adam triangular 0.009803921915590763
loss resnet18 64 2.0 Adam triangular 4.624963760375977
accuracy resnet18 64 2.0 Adam triangular 0.0107421875
loss resnet18 64 2.0 Adam triangular 4.624967575073242
accuracy resnet18 64 2.0 SGD triangular 0.009803921915590763
loss resnet18 64 2.0 SGD triangular 4.624992370605469
accuracy inceptionv3 16 2.0 Adam triangular 0.8029412031173706
loss inceptionv3 16 2.0 Adam triangular 0.8360143899917603
accuracy inceptionv3 16 2.0 Adam triangular 0.7627450823783875
loss inceptionv3 16 2.0 Adam triangular 0.9881539940834045
accuracy inceptionv3 16 2.0 Adam triangular 0.8303921818733215
loss inceptionv3 16 2.0 Adam triangular 0.7358267307281494
accuracy resnet18 4 2.0 Adam triangular 0.07156863063573837
loss resnet18 4 2.0 Adam triangular 4.570555210113525
accuracy resnet18 16 2.0 Adam triangular 0.8500000238418579
loss resnet18 16 2.0 Adam triangular 0.6078084707260132
accuracy resnet18 16 2.0 Adam triangular 0.8294117450714111
loss resnet18 16 2.0 Adam triangular 0.6724100708961487
accuracy inceptionv3 4 2.0 Adam triangular 0.030392156913876534
loss inceptionv3 4 2.0 Adam triangular 4.8745551109313965
accuracy resnet18 32 8 Adam triangular 0.01764705963432789
loss resnet18 32 8 Adam triangular 4.967413425445557
accuracy resnet18 64 2.0 Adam triangular 0.014763779938220978
loss resnet18 64 2.0 Adam triangular 4.806983947753906
accuracy resnet18 64 2.0 Adam triangular 0.014763779938220978
loss resnet18 64 2.0 Adam triangular 4.686240196228027
accuracy inceptionv3 16 2.0 Adam triangular 0.8705882430076599
loss inceptionv3 16 2.0 Adam triangular 0.565713107585907
----------------------------------------
accuracy efficientnetb4 16 2.0 Adam triangular 0.9235293865203857
loss efficientnetb4 16 2.0 Adam triangular 0.3247886598110199
accuracy resnet18 64 2.0 Adam triangular 0.8823529481887817
loss resnet18 64 2.0 Adam triangular 0.517298698425293
accuracy inceptionv3 32 2.0 Adam triangular 0.8892157077789307
loss inceptionv3 32 2.0 Adam triangular 0.42947298288345337
accuracy efficientnetb4 16 2.0 Adam triangular 0.9225490093231201
loss efficientnetb4 16 2.0 Adam triangular 0.3111717700958252
accuracy efficientnetb4 16 2.0 Adam triangular 0.8980392217636108
loss efficientnetb4 16 2.0 Adam triangular 0.38168278336524963
accuracy frozenefficientnetb4 16 2.0 Adam triangular 0.9196078181266785
loss frozenefficientnetb4 16 2.0 Adam triangular 0.3278394341468811
accuracy frozenefficientnetb4 16 2.0 Adam triangular 0.8352941274642944
loss frozenefficientnetb4 16 2.0 Adam triangular 0.6778745651245117
accuracy frozenefficientnetb4 32 2.0 Adam triangular 0.8186274766921997
loss frozenefficientnetb4 32 2.0 Adam triangular 0.7267705202102661
accuracy efficientnetb4 16 2.0 Adam triangular 0.9156862497329712
loss efficientnetb4 16 2.0 Adam triangular 0.3474076986312866
accuracy resnet18 64 2.0 Adam triangular 0.8068627715110779
loss resnet18 64 2.0 Adam triangular 0.9273204803466797
accuracy resnet18 64 2.0 Adam triangular 0.8823529481887817
loss resnet18 64 2.0 Adam triangular 0.5609150528907776
accuracy inceptionv3 32 2.0 Adam triangular 0.9186274409294128
loss inceptionv3 32 2.0 Adam triangular 0.33575814962387085
accuracy resnet18 16 2.0 Adam triangular 0.863725483417511
loss resnet18 16 2.0 Adam triangular 0.5612173080444336
accuracy efficientnetb4 16 2.0 Adam triangular 0.9078431129455566
loss efficientnetb4 16 2.0 Adam triangular 0.36129888892173767
accuracy resnet18 64 2.0 Adam triangular 0.8764705657958984
loss resnet18 64 2.0 Adam triangular 0.5804650783538818
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9392156600952148
loss efficientnetb4 16 4.0 Adam triangular2 0.2685525119304657
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9411764740943909
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.26127636432647705
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9225490093231201
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.34020376205444336
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9343137145042419
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.29673799872398376
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9323529601097107
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.28224673867225647
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9323529601097107
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.30693140625953674
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9264705777168274
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3079027235507965
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.929411768913269
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.2941286563873291
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9196078181266785
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3461659550666809
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9127451181411743
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3721556067466736
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.820588231086731
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.7401440143585205
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9411764740943909
loss efficientnetb4 16 4.0 Adam triangular2 0.25966352224349976
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9313725233078003
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.27460047602653503
accuracy efficientnetb4 8 4.0 Adam triangular2 0.9303921461105347
loss efficientnetb4 8 4.0 Adam triangular2 0.28280290961265564
accuracy efficientnetb4 8 4.0 Adam triangular2 0.9490196108818054
loss efficientnetb4 8 4.0 Adam triangular2 0.2062627077102661
accuracy efficientnetb4 16 4.0 Adam triangular2 0.936274528503418
loss efficientnetb4 16 4.0 Adam triangular2 0.2757294476032257
--- 407.34354424476624ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9284313917160034
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.27590492367744446
--- 509.6042730808258ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9470587968826294
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.2417861372232437
--- 369.80527567863464ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9382352828979492
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.2689231038093567
--- 350.6542890071869ms ---
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9205882549285889
loss efficientnetb4 16 4.0 Adam triangular2 0.330011785030365
--- 199.51625657081604ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9166666865348816
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3455166220664978
--- 152.13088083267212ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9098039269447327
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.38921886682510376
--- 125.54213404655457ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9205882549285889
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.32984912395477295
--- 120.87523293495178ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9127451181411743
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3498273491859436
--- 120.01482272148132ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9107843041419983
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3595775067806244
--- 119.13272905349731ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9196078181266785
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.3386182188987732
--- 118.32477521896362ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9225490093231201
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.35530397295951843
--- 117.25895524024963ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9205882549285889
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.37525996565818787
--- 116.50245928764343ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9137254953384399
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.4120754599571228
--- 115.32400846481323ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.7990196347236633
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.8594582080841064
--- 113.45761823654175ms ---
accuracy efficientnetb4 16 4.0 Adam triangular 0.9215686321258545
loss efficientnetb4 16 4.0 Adam triangular 0.33470699191093445
--- 355.5809681415558ms ---
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9303921461105347
loss efficientnetb4 16 4.0 Adam triangular2 0.27400386333465576
--- 419.7924048900604ms ---
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9107843041419983
loss efficientnetb4 16 4.0 Adam triangular2 0.3847271502017975
--- 507.5600333213806ms ---
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9352940917015076
loss efficientnetb4 16 4.0 Adam triangular2 0.2705610394477844
--- 699.2429921627045ms ---
accuracy efficientnetb4 16 4.0 Adam triangular 0.9147058725357056
loss efficientnetb4 16 4.0 Adam triangular 0.33658507466316223
--- 424.37030053138733ms ---
accuracy efficientnetb4 16 4.0 Adam triangular2 0.9382352828979492
loss efficientnetb4 16 4.0 Adam triangular2 0.2613813579082489
--- 548.6853971481323ms ---
accuracy frozenefficientnetb4 16 4.0 Adam triangular2 0.9352940917015076
loss frozenefficientnetb4 16 4.0 Adam triangular2 0.27443671226501465
--- 387.1622643470764ms ---