Fixing Lab4
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@@ -19,5 +19,5 @@
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],
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"mode_frequency_threshold": 0.01,
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"evaluation_samples": 2500,
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"device": "cpu"
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"device": "cuda"
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}
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@@ -1,6 +1,6 @@
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epoch,generator,adversarial,diversity,discriminator
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1,3.902446909713745,3.9426742090861002,-0.4022729824066162,4.2679691879311577e-05
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2,4.145200756327311,4.184955227152506,-0.397544775835673,1.7615805166618278e-05
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3,4.139080067443848,4.17894912923177,-0.3986907406489054,1.4372343609769207e-05
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4,4.3337121688842775,4.373950477091471,-0.40238287711143494,1.139676257832131e-05
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5,4.437606961568196,4.4788080523173015,-0.4120109644730886,9.15210223950756e-06
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1,1.9428215772191684,1.9722177728096644,-0.29396197570165,0.5681033275604248
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2,1.4548880971908569,1.4849848041216533,-0.30096709435780844,0.8620665185292562
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3,1.3750368096669514,1.4050493458429973,-0.3001254108428955,0.8815570115407307
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4,1.3534313842296601,1.3834585751533508,-0.3002719212214152,0.9456387358347574
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5,1.3344955165227255,1.3643748208999633,-0.2987930631637573,0.9085257977485657
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@@ -1,6 +1,6 @@
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epoch,generator,adversarial,diversity,discriminator
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1,3.9779018229166665,4.181639106241862,-0.4074745655536652,3.138090945431031e-05
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2,4.384994900258382,4.590004500834147,-0.410019177420934,1.108799576322781e-05
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3,4.442870346577962,4.649945588429769,-0.41415047810872396,8.148233926234146e-06
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4,4.501311336263021,4.709003438568115,-0.41538419888814293,6.7271921303472485e-06
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5,4.567720675404867,4.779216910552979,-0.42299244691530863,5.819472274743021e-06
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1,1.8402496170361837,1.9872969957669575,-0.29409476148287456,0.5767448663711547
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2,1.341480024846395,1.4922449136734008,-0.30152977444330853,0.8037996379534403
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3,1.2664997817357382,1.4169845746358236,-0.3009695855140686,0.9125254613876342
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4,1.2546948420206705,1.4045818595250448,-0.29977403044700623,0.9266978068669637
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5,1.2052594385147095,1.3549157900174458,-0.2993127013524373,0.9047481880187989
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@@ -1,6 +1,6 @@
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epoch,generator,adversarial,diversity,discriminator
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1,3.792231286239624,3.792231286239624,-0.39822079056104026,5.601679666045432e-05
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2,3.7167933046976724,3.7167933046976724,-0.38705200486183167,2.9127169354857565e-05
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3,3.774656072998047,3.774656072998047,-0.3904325690587362,2.4593643052503468e-05
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4,4.0028360649108885,4.0028360649108885,-0.39604260533650715,1.812106814662305e-05
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5,4.161207312520345,4.161207312520345,-0.404033615175883,1.4115302633338919e-05
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1,1.8845427894274394,1.8845427894274394,-0.2938156750679016,0.6103333305994669
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2,1.467399939886729,1.467399939886729,-0.3004071984608968,0.8552583735783895
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3,1.3906279939015707,1.3906279939015707,-0.3001615686416626,0.9186650776545207
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4,1.3625147614161173,1.3625147614161173,-0.2994904435475667,0.9339748060862223
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5,1.3512904654184976,1.3512904654184976,-0.29837757102648416,0.917125739256541
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@@ -1,6 +1,6 @@
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epoch,generator,adversarial,diversity,discriminator
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1,4.073459280141194,4.48742034072876,-0.4139610550562541,2.2277594858314842e-05
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2,4.556306339263916,4.980417476145426,-0.4241111308892568,6.92474058305379e-06
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3,4.663601414998372,5.0912053082784015,-0.42760391337076825,4.824752171892518e-06
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4,4.601830291493734,5.031373355865479,-0.42954305254618325,4.1199866602255495e-06
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5,4.665722238413493,5.104604846191406,-0.4388826152801514,3.713102867671599e-06
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1,1.698524040857951,1.99391873254776,-0.295394695409139,0.6109893366177876
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2,1.1882508003234864,1.4905863542874653,-0.3023355525970459,0.8262079038302104
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3,1.1038317825317383,1.4053670434633891,-0.3015352600415548,0.8900910706837972
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4,1.0793432936350504,1.379725065612793,-0.30038177541097005,0.9296226150830587
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5,1.0750859638214112,1.3745220242182414,-0.2994360567092896,0.9623658214886983
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Before Width: | Height: | Size: 105 KiB After Width: | Height: | Size: 95 KiB |
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Before Width: | Height: | Size: 214 KiB After Width: | Height: | Size: 97 KiB |
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Before Width: | Height: | Size: 160 KiB After Width: | Height: | Size: 160 KiB |
@@ -1,6 +1,6 @@
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Configuration,Lambda diversity,mode_count,normalized_entropy,classifier_confidence,feature_diversity,within_class_diversity,Recovery seconds
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Collapsed start,,1,0.010357953608036041,0.9805793166160583,16.11749267578125,11.458220958709717,
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lambda=0,0.0,1,0.021068770438432693,0.9541524648666382,16.436365127563477,11.539350509643555,775.4761435985565
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lambda=0.1,0.1,2,0.05791272968053818,0.9331758618354797,16.686689376831055,11.85418701171875,772.15576171875
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lambda=0.5,0.5,2,0.052982352674007416,0.9251078963279724,17.057252883911133,12.603004455566406,753.808944940567
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lambda=1,1.0,2,0.04722726345062256,0.9086208939552307,17.2882137298584,13.533077716827393,775.8287467956543
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Collapsed start,,2,0.36685988306999207,0.9706274271011353,32.05898666381836,25.954302549362183,
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lambda=0,0.0,10,0.9840676784515381,0.9123238325119019,50.957305908203125,37.81598720550537,18.872541427612305
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lambda=0.1,0.1,10,0.9851677417755127,0.9086157083511353,50.7574577331543,37.948602485656735,18.69113826751709
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lambda=0.5,0.5,10,0.9865411520004272,0.9114605188369751,50.256011962890625,37.34092845916748,18.764385223388672
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lambda=1,1.0,10,0.9875771999359131,0.9121829867362976,50.82931900024414,38.14074840545654,18.40188217163086
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@@ -2,10 +2,10 @@
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\toprule
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Configuration & $\lambda_{div}$ & Modes & Entropy & Confidence & Feature diversity & Within-class diversity \\
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\midrule
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Collapsed start & NaN & 1 & 0.010 & 0.981 & 16.117 & 11.458 \\
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lambda=0 & 0.000 & 1 & 0.021 & 0.954 & 16.436 & 11.539 \\
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lambda=0.1 & 0.100 & 2 & 0.058 & 0.933 & 16.687 & 11.854 \\
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lambda=0.5 & 0.500 & 2 & 0.053 & 0.925 & 17.057 & 12.603 \\
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lambda=1 & 1.000 & 2 & 0.047 & 0.909 & 17.288 & 13.533 \\
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Collapsed start & NaN & 2 & 0.367 & 0.971 & 32.059 & 25.954 \\
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lambda=0 & 0.000 & 10 & 0.984 & 0.912 & 50.957 & 37.816 \\
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lambda=0.1 & 0.100 & 10 & 0.985 & 0.909 & 50.757 & 37.949 \\
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lambda=0.5 & 0.500 & 10 & 0.987 & 0.911 & 50.256 & 37.341 \\
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lambda=1 & 1.000 & 10 & 0.988 & 0.912 & 50.829 & 38.141 \\
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\bottomrule
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\end{tabular}
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