e2am: batch upload 13 files (324133 KB)
Browse files- runs/tiny_imagenet/cumulative_ablation/C1_cache/best_model.pt +1 -1
- runs/tiny_imagenet/cumulative_ablation/C1_cache/checkpoints/checkpoint_last.pt +1 -1
- runs/tiny_imagenet/cumulative_ablation/C1_cache/classification_report.csv +203 -0
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/accuracy_curve.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/accuracy_vs_energy.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/cumulative_energy.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/epoch_energy.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/gpu_power_trace.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/loss_curve.png +2 -2
- runs/tiny_imagenet/cumulative_ablation/C1_cache/final_model.pt +1 -1
- runs/tiny_imagenet/cumulative_ablation/C1_cache/gpu_power_trace.csv +0 -0
- runs/tiny_imagenet/cumulative_ablation/C1_cache/history.csv +7 -0
- runs/tiny_imagenet/cumulative_ablation/C1_cache/metrics_summary.json +27 -9
runs/tiny_imagenet/cumulative_ablation/C1_cache/best_model.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 82657563
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a067d0ac605708eda6d77b57e5f4e83eea1e30b17e1fa308ab69b1a4a6f87bcd
|
| 3 |
size 82657563
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/checkpoints/checkpoint_last.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 164532429
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93d752bb6f7b7055dee1820316259bea6e0920e317b6690ca66613bd1313de35
|
| 3 |
size 164532429
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/classification_report.csv
ADDED
|
@@ -0,0 +1,203 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
class,precision,recall,f1-score,support
|
| 2 |
+
n01443537,0.525,0.42,0.4666666666666667,50.0
|
| 3 |
+
n01629819,0.6153846153846154,0.16,0.25396825396825395,50.0
|
| 4 |
+
n01641577,0.12650602409638553,0.42,0.19444444444444445,50.0
|
| 5 |
+
n01644900,0.0,0.0,0.0,50.0
|
| 6 |
+
n01698640,0.35714285714285715,0.2,0.2564102564102564,50.0
|
| 7 |
+
n01742172,0.0,0.0,0.0,50.0
|
| 8 |
+
n01768244,0.2375,0.38,0.2923076923076923,50.0
|
| 9 |
+
n01770393,0.12857142857142856,0.36,0.18947368421052632,50.0
|
| 10 |
+
n01774384,0.5483870967741935,0.34,0.41975308641975306,50.0
|
| 11 |
+
n01774750,0.0,0.0,0.0,50.0
|
| 12 |
+
n01784675,0.5,0.02,0.038461538461538464,50.0
|
| 13 |
+
n01855672,0.06716417910447761,0.18,0.09782608695652174,50.0
|
| 14 |
+
n01882714,0.6818181818181818,0.3,0.4166666666666667,50.0
|
| 15 |
+
n01910747,0.9411764705882353,0.32,0.47761194029850745,50.0
|
| 16 |
+
n01917289,0.10583941605839416,0.58,0.17901234567901234,50.0
|
| 17 |
+
n01944390,0.25,0.06,0.0967741935483871,50.0
|
| 18 |
+
n01945685,0.0,0.0,0.0,50.0
|
| 19 |
+
n01950731,0.35,0.14,0.2,50.0
|
| 20 |
+
n01983481,0.17142857142857143,0.24,0.2,50.0
|
| 21 |
+
n01984695,0.5714285714285714,0.16,0.25,50.0
|
| 22 |
+
n02002724,0.1,0.04,0.05714285714285714,50.0
|
| 23 |
+
n02056570,0.12727272727272726,0.42,0.19534883720930232,50.0
|
| 24 |
+
n02058221,0.05918057663125948,0.78,0.11001410437235543,50.0
|
| 25 |
+
n02074367,0.3582089552238806,0.48,0.41025641025641024,50.0
|
| 26 |
+
n02085620,0.09090909090909091,0.02,0.03278688524590164,50.0
|
| 27 |
+
n02094433,0.21428571428571427,0.06,0.09375,50.0
|
| 28 |
+
n02099601,0.16666666666666666,0.02,0.03571428571428571,50.0
|
| 29 |
+
n02099712,0.15384615384615385,0.04,0.06349206349206349,50.0
|
| 30 |
+
n02106662,0.2413793103448276,0.14,0.17721518987341772,50.0
|
| 31 |
+
n02113799,0.15384615384615385,0.04,0.06349206349206349,50.0
|
| 32 |
+
n02123045,0.09154929577464789,0.26,0.13541666666666666,50.0
|
| 33 |
+
n02123394,0.47368421052631576,0.18,0.2608695652173913,50.0
|
| 34 |
+
n02124075,0.0,0.0,0.0,50.0
|
| 35 |
+
n02125311,0.4,0.04,0.07272727272727272,50.0
|
| 36 |
+
n02129165,0.4166666666666667,0.1,0.16129032258064516,50.0
|
| 37 |
+
n02132136,0.4,0.08,0.13333333333333333,50.0
|
| 38 |
+
n02165456,0.6363636363636364,0.42,0.5060240963855421,50.0
|
| 39 |
+
n02190166,0.3050847457627119,0.36,0.3302752293577982,50.0
|
| 40 |
+
n02206856,0.6923076923076923,0.36,0.47368421052631576,50.0
|
| 41 |
+
n02226429,0.0,0.0,0.0,50.0
|
| 42 |
+
n02231487,0.13559322033898305,0.16,0.14678899082568808,50.0
|
| 43 |
+
n02233338,0.4,0.04,0.07272727272727272,50.0
|
| 44 |
+
n02236044,0.12698412698412698,0.48,0.200836820083682,50.0
|
| 45 |
+
n02268443,0.29310344827586204,0.34,0.3148148148148148,50.0
|
| 46 |
+
n02279972,0.5362318840579711,0.74,0.6218487394957983,50.0
|
| 47 |
+
n02281406,0.34831460674157305,0.62,0.4460431654676259,50.0
|
| 48 |
+
n02321529,0.18181818181818182,0.04,0.06557377049180328,50.0
|
| 49 |
+
n02364673,0.28,0.28,0.28,50.0
|
| 50 |
+
n02395406,0.1,0.06,0.075,50.0
|
| 51 |
+
n02403003,0.2222222222222222,0.04,0.06779661016949153,50.0
|
| 52 |
+
n02410509,0.5172413793103449,0.3,0.379746835443038,50.0
|
| 53 |
+
n02415577,0.2903225806451613,0.18,0.2222222222222222,50.0
|
| 54 |
+
n02423022,0.5789473684210527,0.22,0.3188405797101449,50.0
|
| 55 |
+
n02437312,0.5714285714285714,0.16,0.25,50.0
|
| 56 |
+
n02480495,0.3333333333333333,0.02,0.03773584905660377,50.0
|
| 57 |
+
n02481823,0.12244897959183673,0.12,0.12121212121212122,50.0
|
| 58 |
+
n02486410,0.0,0.0,0.0,50.0
|
| 59 |
+
n02504458,0.48148148148148145,0.26,0.33766233766233766,50.0
|
| 60 |
+
n02509815,1.0,0.14,0.24561403508771928,50.0
|
| 61 |
+
n02666196,0.18571428571428572,0.26,0.21666666666666667,50.0
|
| 62 |
+
n02669723,0.7777777777777778,0.14,0.23728813559322035,50.0
|
| 63 |
+
n02699494,0.8333333333333334,0.1,0.17857142857142858,50.0
|
| 64 |
+
n02730930,0.34782608695652173,0.16,0.2191780821917808,50.0
|
| 65 |
+
n02769748,0.06584362139917696,0.32,0.10921501706484642,50.0
|
| 66 |
+
n02788148,0.1111111111111111,0.08,0.09302325581395349,50.0
|
| 67 |
+
n02791270,0.2,0.04,0.06666666666666667,50.0
|
| 68 |
+
n02793495,0.4230769230769231,0.22,0.2894736842105263,50.0
|
| 69 |
+
n02795169,0.6666666666666666,0.04,0.07547169811320754,50.0
|
| 70 |
+
n02802426,0.4166666666666667,0.1,0.16129032258064516,50.0
|
| 71 |
+
n02808440,0.0581039755351682,0.38,0.10079575596816977,50.0
|
| 72 |
+
n02814533,0.16666666666666666,0.04,0.06451612903225806,50.0
|
| 73 |
+
n02814860,0.29545454545454547,0.52,0.37681159420289856,50.0
|
| 74 |
+
n02815834,0.09876543209876543,0.16,0.12213740458015267,50.0
|
| 75 |
+
n02823428,0.102803738317757,0.22,0.14012738853503184,50.0
|
| 76 |
+
n02837789,0.21212121212121213,0.14,0.1686746987951807,50.0
|
| 77 |
+
n02841315,0.13333333333333333,0.04,0.06153846153846154,50.0
|
| 78 |
+
n02843684,0.21052631578947367,0.08,0.11594202898550725,50.0
|
| 79 |
+
n02883205,0.11363636363636363,0.1,0.10638297872340426,50.0
|
| 80 |
+
n02892201,0.4166666666666667,0.5,0.45454545454545453,50.0
|
| 81 |
+
n02906734,0.2857142857142857,0.12,0.16901408450704225,50.0
|
| 82 |
+
n02909870,0.0,0.0,0.0,50.0
|
| 83 |
+
n02917067,0.5588235294117647,0.38,0.4523809523809524,50.0
|
| 84 |
+
n02927161,0.6666666666666666,0.16,0.25806451612903225,50.0
|
| 85 |
+
n02948072,0.25,0.1,0.14285714285714285,50.0
|
| 86 |
+
n02950826,0.11475409836065574,0.14,0.12612612612612611,50.0
|
| 87 |
+
n02963159,0.4166666666666667,0.1,0.16129032258064516,50.0
|
| 88 |
+
n02977058,0.4,0.12,0.18461538461538463,50.0
|
| 89 |
+
n02988304,0.0990990990990991,0.22,0.13664596273291926,50.0
|
| 90 |
+
n02999410,0.043010752688172046,0.08,0.055944055944055944,50.0
|
| 91 |
+
n03014705,0.35294117647058826,0.12,0.1791044776119403,50.0
|
| 92 |
+
n03026506,0.3137254901960784,0.32,0.31683168316831684,50.0
|
| 93 |
+
n03042490,0.4166666666666667,0.1,0.16129032258064516,50.0
|
| 94 |
+
n03085013,0.10810810810810811,0.24,0.14906832298136646,50.0
|
| 95 |
+
n03089624,0.6923076923076923,0.18,0.2857142857142857,50.0
|
| 96 |
+
n03100240,0.4074074074074074,0.22,0.2857142857142857,50.0
|
| 97 |
+
n03126707,0.3125,0.1,0.15151515151515152,50.0
|
| 98 |
+
n03160309,0.4,0.04,0.07272727272727272,50.0
|
| 99 |
+
n03179701,0.20634920634920634,0.26,0.23008849557522124,50.0
|
| 100 |
+
n03201208,0.23529411764705882,0.24,0.2376237623762376,50.0
|
| 101 |
+
n03250847,0.0,0.0,0.0,50.0
|
| 102 |
+
n03255030,0.5,0.02,0.038461538461538464,50.0
|
| 103 |
+
n03355925,0.3448275862068966,0.2,0.25316455696202533,50.0
|
| 104 |
+
n03388043,0.0,0.0,0.0,50.0
|
| 105 |
+
n03393912,0.8333333333333334,0.2,0.3225806451612903,50.0
|
| 106 |
+
n03400231,0.12598425196850394,0.32,0.1807909604519774,50.0
|
| 107 |
+
n03404251,0.19607843137254902,0.2,0.19801980198019803,50.0
|
| 108 |
+
n03424325,0.0707070707070707,0.14,0.09395973154362416,50.0
|
| 109 |
+
n03444034,0.3068181818181818,0.54,0.391304347826087,50.0
|
| 110 |
+
n03447447,0.3246753246753247,0.5,0.3937007874015748,50.0
|
| 111 |
+
n03544143,0.11428571428571428,0.08,0.09411764705882353,50.0
|
| 112 |
+
n03584254,0.14864864864864866,0.44,0.2222222222222222,50.0
|
| 113 |
+
n03599486,0.2549019607843137,0.52,0.34210526315789475,50.0
|
| 114 |
+
n03617480,0.19148936170212766,0.36,0.25,50.0
|
| 115 |
+
n03637318,0.35714285714285715,0.1,0.15625,50.0
|
| 116 |
+
n03649909,0.19230769230769232,0.2,0.19607843137254902,50.0
|
| 117 |
+
n03662601,0.75,0.42,0.5384615384615384,50.0
|
| 118 |
+
n03670208,0.3333333333333333,0.06,0.1016949152542373,50.0
|
| 119 |
+
n03706229,0.10714285714285714,0.42,0.17073170731707318,50.0
|
| 120 |
+
n03733131,0.6666666666666666,0.16,0.25806451612903225,50.0
|
| 121 |
+
n03763968,0.16326530612244897,0.16,0.16161616161616163,50.0
|
| 122 |
+
n03770439,0.0,0.0,0.0,50.0
|
| 123 |
+
n03796401,0.6666666666666666,0.08,0.14285714285714285,50.0
|
| 124 |
+
n03804744,0.0,0.0,0.0,50.0
|
| 125 |
+
n03814639,0.13333333333333333,0.12,0.12631578947368421,50.0
|
| 126 |
+
n03837869,0.33962264150943394,0.72,0.46153846153846156,50.0
|
| 127 |
+
n03838899,0.07777777777777778,0.14,0.1,50.0
|
| 128 |
+
n03854065,0.5384615384615384,0.28,0.3684210526315789,50.0
|
| 129 |
+
n03891332,0.13953488372093023,0.12,0.12903225806451613,50.0
|
| 130 |
+
n03902125,0.5,0.1,0.16666666666666666,50.0
|
| 131 |
+
n03930313,0.4375,0.42,0.42857142857142855,50.0
|
| 132 |
+
n03937543,0.12962962962962962,0.28,0.17721518987341772,50.0
|
| 133 |
+
n03970156,0.0,0.0,0.0,50.0
|
| 134 |
+
n03976657,0.1,0.02,0.03333333333333333,50.0
|
| 135 |
+
n03977966,0.2926829268292683,0.72,0.4161849710982659,50.0
|
| 136 |
+
n03980874,0.24528301886792453,0.26,0.2524271844660194,50.0
|
| 137 |
+
n03983396,0.0,0.0,0.0,50.0
|
| 138 |
+
n03992509,0.05675675675675676,0.42,0.1,50.0
|
| 139 |
+
n04008634,0.05,0.02,0.02857142857142857,50.0
|
| 140 |
+
n04023962,0.25,0.04,0.06896551724137931,50.0
|
| 141 |
+
n04067472,0.0,0.0,0.0,50.0
|
| 142 |
+
n04070727,0.3333333333333333,0.04,0.07142857142857142,50.0
|
| 143 |
+
n04074963,0.07,0.14,0.09333333333333334,50.0
|
| 144 |
+
n04099969,0.12,0.3,0.17142857142857143,50.0
|
| 145 |
+
n04118538,0.3046875,0.78,0.43820224719101125,50.0
|
| 146 |
+
n04133789,0.07602339181286549,0.26,0.11764705882352941,50.0
|
| 147 |
+
n04146614,0.7,0.42,0.525,50.0
|
| 148 |
+
n04149813,0.5384615384615384,0.14,0.2222222222222222,50.0
|
| 149 |
+
n04179913,0.2222222222222222,0.12,0.15584415584415584,50.0
|
| 150 |
+
n04251144,0.21428571428571427,0.24,0.22641509433962265,50.0
|
| 151 |
+
n04254777,0.24444444444444444,0.22,0.23157894736842105,50.0
|
| 152 |
+
n04259630,0.5555555555555556,0.1,0.1694915254237288,50.0
|
| 153 |
+
n04265275,0.12857142857142856,0.18,0.15,50.0
|
| 154 |
+
n04275548,0.2222222222222222,0.12,0.15584415584415584,50.0
|
| 155 |
+
n04285008,0.42105263157894735,0.16,0.2318840579710145,50.0
|
| 156 |
+
n04311004,0.35294117647058826,0.12,0.1791044776119403,50.0
|
| 157 |
+
n04328186,0.07106598984771574,0.28,0.11336032388663968,50.0
|
| 158 |
+
n04356056,0.15625,0.1,0.12195121951219512,50.0
|
| 159 |
+
n04366367,0.2,0.08,0.11428571428571428,50.0
|
| 160 |
+
n04371430,0.21739130434782608,0.2,0.20833333333333334,50.0
|
| 161 |
+
n04376876,0.03125,0.02,0.024390243902439025,50.0
|
| 162 |
+
n04398044,0.11904761904761904,0.1,0.10869565217391304,50.0
|
| 163 |
+
n04399382,0.25,0.02,0.037037037037037035,50.0
|
| 164 |
+
n04417672,0.2857142857142857,0.08,0.125,50.0
|
| 165 |
+
n04456115,0.3023255813953488,0.26,0.27956989247311825,50.0
|
| 166 |
+
n04465501,0.16666666666666666,0.02,0.03571428571428571,50.0
|
| 167 |
+
n04486054,0.2916666666666667,0.42,0.3442622950819672,50.0
|
| 168 |
+
n04487081,0.5454545454545454,0.36,0.43373493975903615,50.0
|
| 169 |
+
n04501370,0.27419354838709675,0.34,0.30357142857142855,50.0
|
| 170 |
+
n04507155,0.06666666666666667,0.02,0.03076923076923077,50.0
|
| 171 |
+
n04532106,0.45,0.18,0.2571428571428571,50.0
|
| 172 |
+
n04532670,0.5263157894736842,0.2,0.2898550724637681,50.0
|
| 173 |
+
n04540053,0.23076923076923078,0.18,0.20224719101123595,50.0
|
| 174 |
+
n04560804,0.125,0.08,0.0975609756097561,50.0
|
| 175 |
+
n04562935,0.3384615384615385,0.44,0.3826086956521739,50.0
|
| 176 |
+
n04596742,0.20833333333333334,0.1,0.13513513513513514,50.0
|
| 177 |
+
n04597913,0.0,0.0,0.0,50.0
|
| 178 |
+
n06596364,0.696969696969697,0.46,0.5542168674698795,50.0
|
| 179 |
+
n07579787,0.15,0.24,0.18461538461538463,50.0
|
| 180 |
+
n07583066,0.5,0.38,0.4318181818181818,50.0
|
| 181 |
+
n07614500,0.05128205128205128,0.04,0.0449438202247191,50.0
|
| 182 |
+
n07615774,0.20833333333333334,0.2,0.20408163265306123,50.0
|
| 183 |
+
n07695742,0.16216216216216217,0.12,0.13793103448275862,50.0
|
| 184 |
+
n07711569,0.4444444444444444,0.08,0.13559322033898305,50.0
|
| 185 |
+
n07715103,0.32,0.16,0.21333333333333335,50.0
|
| 186 |
+
n07720875,0.3953488372093023,0.34,0.3655913978494624,50.0
|
| 187 |
+
n07734744,0.6666666666666666,0.24,0.35294117647058826,50.0
|
| 188 |
+
n07747607,0.6,0.24,0.34285714285714286,50.0
|
| 189 |
+
n07749582,0.27472527472527475,0.5,0.3546099290780142,50.0
|
| 190 |
+
n07753592,0.16666666666666666,0.02,0.03571428571428571,50.0
|
| 191 |
+
n07768694,0.75,0.12,0.20689655172413793,50.0
|
| 192 |
+
n07871810,0.42857142857142855,0.06,0.10526315789473684,50.0
|
| 193 |
+
n07873807,0.5,0.48,0.4897959183673469,50.0
|
| 194 |
+
n07875152,0.4146341463414634,0.34,0.37362637362637363,50.0
|
| 195 |
+
n07920052,0.35,0.56,0.4307692307692308,50.0
|
| 196 |
+
n09193705,0.2857142857142857,0.24,0.2608695652173913,50.0
|
| 197 |
+
n09246464,0.3157894736842105,0.12,0.17391304347826086,50.0
|
| 198 |
+
n09256479,0.8333333333333334,0.1,0.17857142857142858,50.0
|
| 199 |
+
n09332890,0.2,0.14,0.16470588235294117,50.0
|
| 200 |
+
n09428293,0.25,0.5,0.3333333333333333,50.0
|
| 201 |
+
n12267677,0.12121212121212122,0.08,0.0963855421686747,50.0
|
| 202 |
+
macro avg,0.291396428394183,0.2028,0.1949103022392003,10000.0
|
| 203 |
+
weighted avg,0.291396428394183,0.2028,0.19491030223920028,10000.0
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/accuracy_curve.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/accuracy_vs_energy.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/cumulative_energy.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/epoch_energy.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/gpu_power_trace.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/figures/loss_curve.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/final_model.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 82658351
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:708e1a0697ce9d8d42935f2197cb397c04ffccafa2510c2982dd9ef6450c379a
|
| 3 |
size 82658351
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/gpu_power_trace.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/history.csv
CHANGED
|
@@ -42,3 +42,10 @@ epoch,train_loss,val_loss,train_accuracy,val_accuracy,val_accuracy_top5,f1_score
|
|
| 42 |
40,3.3494662077331543,3.317636545944214,0.2339,0.2416,0.5115,0.21973374709224416,0.28603083031515447,0.24160000000000004,0.1,64,64,False,0.0,1,374.9097993373871,15935.367284536362,28043.726187417207,1192473.901442162,0.0037002138719508817,0.15734030644028524,3294.35546875,2.781370759317905e-07,0,2026-05-21T12:05:28Z
|
| 43 |
41,3.342070783996582,3.336547528076172,0.2373,0.2405,0.5064,0.21130295159776147,0.2629201986369615,0.24050000000000002,0.1,64,64,False,0.0,1,375.72996711730957,16311.097251653671,28073.179309976502,1220547.0807521385,0.0037041000478441216,0.16104440648812937,3294.35546875,-3.918330687999793e-08,0,2026-05-21T12:11:58Z
|
| 44 |
42,3.3400436102294924,3.675853310394287,0.23658,0.183,0.4281,0.1649829768595949,0.2625998752772091,0.183,0.1,64,64,False,0.0,1,375.0577001571655,16686.154951810837,28019.85104662722,1248566.9317987657,0.0036970636797633133,0.16474147016789267,3294.35546875,-2.0521165478116035e-06,0,2026-05-21T12:18:27Z
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
40,3.3494662077331543,3.317636545944214,0.2339,0.2416,0.5115,0.21973374709224416,0.28603083031515447,0.24160000000000004,0.1,64,64,False,0.0,1,374.9097993373871,15935.367284536362,28043.726187417207,1192473.901442162,0.0037002138719508817,0.15734030644028524,3294.35546875,2.781370759317905e-07,0,2026-05-21T12:05:28Z
|
| 43 |
41,3.342070783996582,3.336547528076172,0.2373,0.2405,0.5064,0.21130295159776147,0.2629201986369615,0.24050000000000002,0.1,64,64,False,0.0,1,375.72996711730957,16311.097251653671,28073.179309976502,1220547.0807521385,0.0037041000478441216,0.16104440648812937,3294.35546875,-3.918330687999793e-08,0,2026-05-21T12:11:58Z
|
| 44 |
42,3.3400436102294924,3.675853310394287,0.23658,0.183,0.4281,0.1649829768595949,0.2625998752772091,0.183,0.1,64,64,False,0.0,1,375.0577001571655,16686.154951810837,28019.85104662722,1248566.9317987657,0.0036970636797633133,0.16474147016789267,3294.35546875,-2.0521165478116035e-06,0,2026-05-21T12:18:27Z
|
| 45 |
+
43,3.340405335006714,3.2678914794921874,0.23618,0.2502,0.5186,0.22596725813186203,0.283477761369382,0.25020000000000003,0.1,64,64,False,0.0,1,375.42568492889404,17061.58063673973,28159.283826971012,1276726.2156257366,0.003715461060503119,0.16845693122839578,3294.35546875,2.3864243285774087e-06,0,2026-05-21T12:24:55Z
|
| 46 |
+
44,3.33872942817688,3.413891026687622,0.23625,0.225,0.4861,0.2070614683124597,0.2895032740694743,0.225,0.1,64,64,False,0.0,1,375.11857080459595,17436.699207544327,28062.019394496205,1304788.2350202329,0.003702627558996027,0.1721595587873918,3294.35546875,-8.980109252202442e-07,0,2026-05-21T12:31:25Z
|
| 47 |
+
45,3.334321382751465,3.509598489379883,0.23745,0.2095,0.4685,0.19330718525322418,0.2876397416048372,0.20950000000000002,0.1,64,64,False,0.0,1,375.14641666412354,17811.84562420845,28029.3905091269,1332817.6255293598,0.0036983223588431323,0.17585788114623493,3294.35546875,-5.529909754888506e-07,0,2026-05-21T12:37:53Z
|
| 48 |
+
46,3.331221134719849,3.3499664642333986,0.23939,0.2362,0.5072,0.21472735688488676,0.28374502345576286,0.23620000000000002,0.1,64,64,False,0.0,1,374.97235107421875,18186.81797528267,28009.357025023055,1360826.9825543829,0.003695679051912764,0.1795535601981477,3294.35546875,9.532528710368718e-07,0,2026-05-21T12:44:22Z
|
| 49 |
+
47,3.3342097499084473,3.3049186210632326,0.23762,0.2383,0.5048,0.21252491495767956,0.2832204185305654,0.2383,0.1,64,64,False,0.0,1,374.55274200439453,18561.370717287064,28097.869836669128,1388924.852391052,0.003707357825671621,0.1832609180238193,3294.35546875,7.473876177116506e-08,0,2026-05-21T12:50:50Z
|
| 50 |
+
48,3.326155248413086,3.362745140075684,0.23912,0.2285,0.4966,0.2102646251982695,0.28243010772835153,0.2285,0.1,64,64,False,0.0,1,375.6259250640869,18936.99664235115,28131.204860196733,1417056.0572512487,0.0037117561968315134,0.1869726742206508,3294.35546875,-3.483675885445693e-07,0,2026-05-21T12:57:19Z
|
| 51 |
+
49,3.3299745572662354,3.5568774772644045,0.23866,0.2028,0.4566,0.1949103022392003,0.291396428394183,0.2028,0.1,64,64,False,0.0,1,374.57694602012634,19311.573588371277,28083.149588560173,1445139.206839809,0.0037054155707128005,0.1906780897913636,3294.35546875,-9.151395187692565e-07,0,2026-05-21T13:03:47Z
|
runs/tiny_imagenet/cumulative_ablation/C1_cache/metrics_summary.json
CHANGED
|
@@ -1,20 +1,30 @@
|
|
| 1 |
{
|
| 2 |
"run_key": "effnetv2_s::tiny_imagenet::cumulative_ablation::C1_cache",
|
| 3 |
"run_dir": "/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/cumulative_ablation/C1_cache",
|
|
|
|
| 4 |
"model_name": "effnetv2_s",
|
| 5 |
"dataset_name": "tiny_imagenet",
|
| 6 |
"method_group": "cumulative_ablation",
|
| 7 |
"variant_name": "C1_cache",
|
| 8 |
"method_id": "C1",
|
| 9 |
"num_epochs_planned": 50,
|
| 10 |
-
"
|
| 11 |
-
"best_accuracy": 0.
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
"peak_vram_mb": 4358.75732421875,
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
"amp_enabled": false,
|
| 19 |
"scheduler": "none",
|
| 20 |
"gradient_accumulation_steps": 1,
|
|
@@ -22,6 +32,14 @@
|
|
| 22 |
"eag_enabled": false,
|
| 23 |
"batch_size": 64,
|
| 24 |
"image_size": 32,
|
| 25 |
-
"
|
| 26 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"run_key": "effnetv2_s::tiny_imagenet::cumulative_ablation::C1_cache",
|
| 3 |
"run_dir": "/kaggle/working/E2AM-EffNetV2-TIN/tiny_imagenet/cumulative_ablation/C1_cache",
|
| 4 |
+
"repo_run_path": "runs/tiny_imagenet/cumulative_ablation/C1_cache",
|
| 5 |
"model_name": "effnetv2_s",
|
| 6 |
"dataset_name": "tiny_imagenet",
|
| 7 |
"method_group": "cumulative_ablation",
|
| 8 |
"variant_name": "C1_cache",
|
| 9 |
"method_id": "C1",
|
| 10 |
"num_epochs_planned": 50,
|
| 11 |
+
"num_epochs_run": 50,
|
| 12 |
+
"best_accuracy": 0.2502,
|
| 13 |
+
"final_accuracy": 0.2028,
|
| 14 |
+
"final_accuracy_top5": 0.4566,
|
| 15 |
+
"final_f1_score": 0.1949103022392003,
|
| 16 |
+
"final_precision": 0.291396428394183,
|
| 17 |
+
"final_recall": 0.2028,
|
| 18 |
+
"total_time_sec": 19311.573588371277,
|
| 19 |
+
"total_energy_j": 1445139.206839809,
|
| 20 |
+
"total_energy_kwh": 0.4014275574555025,
|
| 21 |
+
"total_co2_kg": 0.1906780897913636,
|
| 22 |
+
"carbon_intensity_kg_per_kwh": 0.475,
|
| 23 |
"peak_vram_mb": 4358.75732421875,
|
| 24 |
+
"num_parameters": 20433688,
|
| 25 |
+
"nonzero_parameters": 20433688,
|
| 26 |
+
"model_size_mb": 78.53614807128906,
|
| 27 |
+
"flops_or_macs": null,
|
| 28 |
"amp_enabled": false,
|
| 29 |
"scheduler": "none",
|
| 30 |
"gradient_accumulation_steps": 1,
|
|
|
|
| 32 |
"eag_enabled": false,
|
| 33 |
"batch_size": 64,
|
| 34 |
"image_size": 32,
|
| 35 |
+
"gpu_count": 2,
|
| 36 |
+
"gpu_names": [
|
| 37 |
+
"Tesla T4",
|
| 38 |
+
"Tesla T4"
|
| 39 |
+
],
|
| 40 |
+
"cuda_version": "12.8",
|
| 41 |
+
"pytorch_version": "2.10.0+cu128",
|
| 42 |
+
"python_version": "3.12.12",
|
| 43 |
+
"status": "completed",
|
| 44 |
+
"completed_utc": "2026-05-21T13:04:01Z"
|
| 45 |
}
|