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MI-cifar12-sp1-vggf.txt
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MI-cifar12-sp1-vggf.txt
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opts =
struct with fields:
batchSize: 200
bpdepth: Inf
continue: 1
dataset: 'cifar'
debug: 0
dropout: 0
ep1: 0
epoch: 100
gpus: 1
lr: 1.0000e-03
lrdecay: 0.5000
lrmult: 0.0100
lrstep: 50
max_iter: 32
modelType: 'vggf'
nbins: 10
nbits: 12
normalize: 0
plot: 0
prefix: '1016.225200'
random_codes: 0
randseed: 42
regress: 1
sigmf: [10 0]
solver: 'sgd'
testInterval: 10
tolerance: 1.0000e-06
wdecay: 5.0000e-04
weighted: 1
obj: 'mi'
split: 1
metrics: {'tieAP' 'AP'}
SCC: []
testFunc: @test_supervised
unsupervised: 0
sigmf_p: 10
methodID: 'MI-cifar12-vggf-sp1'
identifier: '1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005'
windows: 0
localDir: './cachedir'
dataDir: './cachedir/data'
imdbPath: './cachedir/data/cifar_imdb'
expDir: './cachedir/MI-cifar12-vggf-sp1/1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005'
@demo_AP: MI-cifar12-vggf-sp1
@demo_AP: 1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005
ans =
1×21 cell array
Columns 1 through 12
'conv1' 'relu1' 'norm1' 'pool1' 'conv2' 'relu2' 'norm2' 'pool2' 'conv3' 'relu3' 'conv4' 'relu4'
Columns 13 through 21
'conv5' 'relu5' 'pool5' 'fc6' 'relu6' 'fc7' 'relu7' 'logits' 'loss'
@get_model: vggf in 1.67s
@get_imdb: ./cachedir/data/imdb_cifar_split1.mat
@get_imdb: loaded in 3.43s
@get_imdb: cifar_split1 loaded
data: [32×32×3×60000 single]
labels: [1×60000 single]
set: [60000×1 double]
layer| 0| 1| 2| 3| 4| 5| 6| 7| 8| 9| 10| 11| 12| 13| 14| 15| 16| 17|
type|input| conv| relu| lrn| mpool| conv| relu| lrn| mpool| conv| relu| conv| relu| conv| relu| mpool| conv| relu|
name| n/a|conv1|relu1|norm1| pool1|conv2|relu2|norm2| pool2|conv3|relu3|conv4|relu4|conv5|relu5| pool5| fc6|relu6|
----------|-----|-----|-----|-----|-------|-----|-----|-----|-------|-----|-----|-----|-----|-----|-----|-------|-----|-----|
support| n/a| 11| 1| 1| 3| 5| 1| 1| 3| 3| 1| 3| 1| 3| 1| 3| 6| 1|
filt dim| n/a| 3| n/a| n/a| n/a| 64| n/a| n/a| n/a| 256| n/a| 256| n/a| 256| n/a| n/a| 256| n/a|
filt dilat| n/a| 1| n/a| n/a| n/a| 1| n/a| n/a| n/a| 1| n/a| 1| n/a| 1| n/a| n/a| 1| n/a|
num filts| n/a| 64| n/a| n/a| n/a| 256| n/a| n/a| n/a| 256| n/a| 256| n/a| 256| n/a| n/a| 4096| n/a|
stride| n/a| 4| 1| 1| 2| 1| 1| 1| 2| 1| 1| 1| 1| 1| 1| 2| 1| 1|
pad| n/a| 0| 0| 0|0x1x0x1| 2| 0| 0|0x1x0x1| 1| 0| 1| 0| 1| 0|0x1x0x1| 0| 0|
----------|-----|-----|-----|-----|-------|-----|-----|-----|-------|-----|-----|-----|-----|-----|-----|-------|-----|-----|
rf size| n/a| 11| 11| 11| 19| 51| 51| 51| 67| 99| 99| 131| 131| 163| 163| 195| 355| 355|
rf offset| n/a| 6| 6| 6| 10| 10| 10| 10| 18| 18| 18| 18| 18| 18| 18| 34| 114| 114|
rf stride| n/a| 4| 4| 4| 8| 8| 8| 8| 16| 16| 16| 16| 16| 16| 16| 32| 32| 32|
----------|-----|-----|-----|-----|-------|-----|-----|-----|-------|-----|-----|-----|-----|-----|-----|-------|-----|-----|
data size| 224| 54| 54| 54| 27| 27| 27| 27| 13| 13| 13| 13| 13| 13| 13| 6| 1| 1|
data depth| 3| 64| 64| 64| 64| 256| 256| 256| 256| 256| 256| 256| 256| 256| 256| 256| 4096| 4096|
data num| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200| 200|
----------|-----|-----|-----|-----|-------|-----|-----|-----|-------|-----|-----|-----|-----|-----|-----|-------|-----|-----|
data mem|115MB|142MB|142MB|142MB| 36MB|142MB|142MB|142MB| 33MB| 33MB| 33MB| 33MB| 33MB| 33MB| 33MB| 7MB| 3MB| 3MB|
param mem| n/a| 91KB| 0B| 0B| 0B| 2MB| 0B| 0B| 0B| 2MB| 0B| 2MB| 0B| 2MB| 0B| 0B|144MB| 0B|
layer| 18| 19| 20| 21|
type|conv| relu| conv|custom|
name| fc7|relu7|logits| loss|
----------|----|-----|------|------|
support| 1| 1| 1| 1|
filt dim|4096| n/a| 4096| n/a|
filt dilat| 1| n/a| 1| n/a|
num filts|4096| n/a| 12| n/a|
stride| 1| 1| 1| 1|
pad| 0| 0| 0| 0|
----------|----|-----|------|------|
rf size| 355| 355| 355| 355|
rf offset| 114| 114| 114| 114|
rf stride| 32| 32| 32| 32|
----------|----|-----|------|------|
data size| 1| 1| 1| 1|
data depth|4096| 4096| 12| NaN|
data num| 200| 200| 200| 200|
----------|----|-----|------|------|
data mem| 3MB| 3MB| 9KB| NaN|
param mem|64MB| 0B| 192KB| 0B|
parameter memory|217MB (5.7e+07 parameters)|
data memory| NaN (for batch size 200)|
train_simplenn: resetting GPU
Clearing mex files
CUDADevice with properties:
Name: 'GeForce GTX TITAN X'
Index: 1
ComputeCapability: '5.2'
SupportsDouble: 1
DriverVersion: 9
ToolkitVersion: 8
MaxThreadsPerBlock: 1024
MaxShmemPerBlock: 49152
MaxThreadBlockSize: [1024 1024 64]
MaxGridSize: [2.1475e+09 65535 65535]
SIMDWidth: 32
TotalMemory: 1.2800e+10
AvailableMemory: 1.2592e+10
MultiprocessorCount: 24
ClockRateKHz: 1076000
ComputeMode: 'Default'
GPUOverlapsTransfers: 1
KernelExecutionTimeout: 0
CanMapHostMemory: 1
DeviceSupported: 1
DeviceSelected: 1
@processEpoch: Epoch 1, learningRate = 1.000000e-03
train: epoch 01: 1/ 25: 29.6 Hz objective: -0.022
train: epoch 01: 13/ 25: 763.2 Hz objective: -0.034
train: epoch 01: 25/ 25: 768.0 Hz objective: -0.052
@processEpoch: Avg objective = -0.0344958
@processEpoch: Epoch 1, learningRate = 1.000000e-03
val: epoch 01: 1/ 5: 1398.0 Hz objective: -0.083
val: epoch 01: 5/ 5: 1457.4 Hz objective: -0.089
@processEpoch: Avg objective = -0.0862601
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 2, learningRate = 1.000000e-03
train: epoch 02: 1/ 25: 1175.9 Hz objective: -0.086
train: epoch 02: 13/ 25: 786.0 Hz objective: -0.110
train: epoch 02: 25/ 25: 771.3 Hz objective: -0.116
@processEpoch: Avg objective = -0.108538
@processEpoch: Epoch 2, learningRate = 1.000000e-03
val: epoch 02: 1/ 5: 1463.8 Hz objective: -0.132
val: epoch 02: 5/ 5: 1482.4 Hz objective: -0.131
@processEpoch: Avg objective = -0.128765
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 3, learningRate = 1.000000e-03
train: epoch 03: 1/ 25: 1232.1 Hz objective: -0.144
train: epoch 03: 13/ 25: 786.3 Hz objective: -0.135
train: epoch 03: 25/ 25: 787.9 Hz objective: -0.146
@processEpoch: Avg objective = -0.139532
@processEpoch: Epoch 3, learningRate = 1.000000e-03
val: epoch 03: 1/ 5: 1549.8 Hz objective: -0.160
val: epoch 03: 5/ 5: 1491.6 Hz objective: -0.151
@processEpoch: Avg objective = -0.156157
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 4, learningRate = 1.000000e-03
train: epoch 04: 1/ 25: 1145.5 Hz objective: -0.170
train: epoch 04: 13/ 25: 787.4 Hz objective: -0.168
train: epoch 04: 25/ 25: 784.7 Hz objective: -0.168
@processEpoch: Avg objective = -0.166013
@processEpoch: Epoch 4, learningRate = 1.000000e-03
val: epoch 04: 1/ 5: 1453.7 Hz objective: -0.152
val: epoch 04: 5/ 5: 1421.6 Hz objective: -0.167
@processEpoch: Avg objective = -0.161236
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 5, learningRate = 1.000000e-03
train: epoch 05: 1/ 25: 1180.5 Hz objective: -0.145
train: epoch 05: 13/ 25: 774.6 Hz objective: -0.181
train: epoch 05: 25/ 25: 771.5 Hz objective: -0.183
@processEpoch: Avg objective = -0.179039
@processEpoch: Epoch 5, learningRate = 1.000000e-03
val: epoch 05: 1/ 5: 1456.7 Hz objective: -0.168
val: epoch 05: 5/ 5: 1480.8 Hz objective: -0.169
@processEpoch: Avg objective = -0.166674
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 6, learningRate = 1.000000e-03
train: epoch 06: 1/ 25: 1233.8 Hz objective: -0.195
train: epoch 06: 13/ 25: 782.8 Hz objective: -0.198
train: epoch 06: 25/ 25: 779.2 Hz objective: -0.193
@processEpoch: Avg objective = -0.196694
@processEpoch: Epoch 6, learningRate = 1.000000e-03
val: epoch 06: 1/ 5: 1524.2 Hz objective: -0.175
val: epoch 06: 5/ 5: 1485.2 Hz objective: -0.175
@processEpoch: Avg objective = -0.174684
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 7, learningRate = 1.000000e-03
train: epoch 07: 1/ 25: 1251.3 Hz objective: -0.214
train: epoch 07: 13/ 25: 782.3 Hz objective: -0.205
train: epoch 07: 25/ 25: 780.8 Hz objective: -0.202
@processEpoch: Avg objective = -0.205555
@processEpoch: Epoch 7, learningRate = 1.000000e-03
val: epoch 07: 1/ 5: 1527.9 Hz objective: -0.181
val: epoch 07: 5/ 5: 1490.8 Hz objective: -0.187
@processEpoch: Avg objective = -0.184204
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 8, learningRate = 1.000000e-03
train: epoch 08: 1/ 25: 1242.7 Hz objective: -0.210
train: epoch 08: 13/ 25: 781.4 Hz objective: -0.209
train: epoch 08: 25/ 25: 780.8 Hz objective: -0.212
@processEpoch: Avg objective = -0.210342
@processEpoch: Epoch 8, learningRate = 1.000000e-03
val: epoch 08: 1/ 5: 1538.7 Hz objective: -0.229
val: epoch 08: 5/ 5: 1481.7 Hz objective: -0.191
@processEpoch: Avg objective = -0.205308
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 9, learningRate = 1.000000e-03
train: epoch 09: 1/ 25: 1231.6 Hz objective: -0.239
train: epoch 09: 13/ 25: 776.9 Hz objective: -0.218
train: epoch 09: 25/ 25: 776.2 Hz objective: -0.219
@processEpoch: Avg objective = -0.220889
@processEpoch: Epoch 9, learningRate = 1.000000e-03
val: epoch 09: 1/ 5: 1540.4 Hz objective: -0.210
val: epoch 09: 5/ 5: 1449.7 Hz objective: -0.198
@processEpoch: Avg objective = -0.204183
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 10, learningRate = 1.000000e-03
train: epoch 10: 1/ 25: 1249.3 Hz objective: -0.234
train: epoch 10: 13/ 25: 773.1 Hz objective: -0.228
train: epoch 10: 25/ 25: 773.1 Hz objective: -0.233
@processEpoch: Avg objective = -0.230153
@processEpoch: Epoch 10, learningRate = 1.000000e-03
val: epoch 10: 1/ 5: 1524.6 Hz objective: -0.197
val: epoch 10: 5/ 5: 1463.5 Hz objective: -0.205
@processEpoch: Avg objective = -0.201101
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@test_supervised: MI-cifar12-vggf-sp1
@test_supervised: 1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005
Name Size Bytes Class Attributes
Ytest 1000x1 4000 single
Ytrain 59000x1 236000 single
Testing network... Elapsed time is 0.653890 seconds.
Testing network... Elapsed time is 38.434348 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.50669
@evaluate_tieAP: 1.38 seconds
@evaluate_AP: Eval full ranking
@evaluate_AP: AP = 0.506827
@evaluate_AP: optim_AP = 0.710722
@evaluate_AP: pessi_AP = 0.388183
@evaluate_AP: 8.34 seconds
@processEpoch: Epoch 11, learningRate = 1.000000e-03
train: epoch 11: 1/ 25: 1160.5 Hz objective: -0.266
train: epoch 11: 14/ 25: 803.0 Hz objective: -0.239
train: epoch 11: 25/ 25: 802.0 Hz objective: -0.231
@processEpoch: Avg objective = -0.238161
@processEpoch: Epoch 11, learningRate = 1.000000e-03
val: epoch 11: 1/ 5: 1538.8 Hz objective: -0.200
val: epoch 11: 5/ 5: 1475.8 Hz objective: -0.185
@processEpoch: Avg objective = -0.191114
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 12, learningRate = 1.000000e-03
train: epoch 12: 1/ 25: 1268.4 Hz objective: -0.215
train: epoch 12: 14/ 25: 800.3 Hz objective: -0.238
train: epoch 12: 25/ 25: 795.6 Hz objective: -0.243
@processEpoch: Avg objective = -0.23206
@processEpoch: Epoch 12, learningRate = 1.000000e-03
val: epoch 12: 1/ 5: 1525.5 Hz objective: -0.196
val: epoch 12: 5/ 5: 1367.1 Hz objective: -0.217
@processEpoch: Avg objective = -0.21374
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 13, learningRate = 1.000000e-03
train: epoch 13: 1/ 25: 1234.3 Hz objective: -0.261
train: epoch 13: 13/ 25: 797.9 Hz objective: -0.246
train: epoch 13: 25/ 25: 793.4 Hz objective: -0.248
@processEpoch: Avg objective = -0.249579
@processEpoch: Epoch 13, learningRate = 1.000000e-03
val: epoch 13: 1/ 5: 1438.8 Hz objective: -0.227
val: epoch 13: 5/ 5: 1340.6 Hz objective: -0.213
@processEpoch: Avg objective = -0.217204
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 14, learningRate = 1.000000e-03
train: epoch 14: 1/ 25: 1204.0 Hz objective: -0.281
train: epoch 14: 13/ 25: 799.4 Hz objective: -0.260
train: epoch 14: 25/ 25: 800.4 Hz objective: -0.260
@processEpoch: Avg objective = -0.264689
@processEpoch: Epoch 14, learningRate = 1.000000e-03
val: epoch 14: 1/ 5: 1528.5 Hz objective: -0.231
val: epoch 14: 5/ 5: 1355.9 Hz objective: -0.215
@processEpoch: Avg objective = -0.222688
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 15, learningRate = 1.000000e-03
train: epoch 15: 1/ 25: 1218.1 Hz objective: -0.239
train: epoch 15: 13/ 25: 799.9 Hz objective: -0.264
train: epoch 15: 25/ 25: 799.9 Hz objective: -0.268
@processEpoch: Avg objective = -0.264469
@processEpoch: Epoch 15, learningRate = 1.000000e-03
val: epoch 15: 1/ 5: 1500.9 Hz objective: -0.215
val: epoch 15: 5/ 5: 1443.2 Hz objective: -0.216
@processEpoch: Avg objective = -0.21605
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 16, learningRate = 1.000000e-03
train: epoch 16: 1/ 25: 1171.6 Hz objective: -0.263
train: epoch 16: 13/ 25: 799.0 Hz objective: -0.275
train: epoch 16: 25/ 25: 781.1 Hz objective: -0.279
@processEpoch: Avg objective = -0.27547
@processEpoch: Epoch 16, learningRate = 1.000000e-03
val: epoch 16: 1/ 5: 1420.1 Hz objective: -0.251
val: epoch 16: 5/ 5: 1395.9 Hz objective: -0.234
@processEpoch: Avg objective = -0.243001
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 17, learningRate = 1.000000e-03
train: epoch 17: 1/ 25: 1147.8 Hz objective: -0.303
train: epoch 17: 12/ 25: 737.7 Hz objective: -0.289
train: epoch 17: 24/ 25: 745.9 Hz objective: -0.292
train: epoch 17: 25/ 25: 745.1 Hz objective: -0.292
@processEpoch: Avg objective = -0.291697
@processEpoch: Epoch 17, learningRate = 1.000000e-03
val: epoch 17: 1/ 5: 1460.6 Hz objective: -0.228
val: epoch 17: 5/ 5: 1369.1 Hz objective: -0.233
@processEpoch: Avg objective = -0.23343
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 18, learningRate = 1.000000e-03
train: epoch 18: 1/ 25: 1034.8 Hz objective: -0.329
train: epoch 18: 12/ 25: 686.0 Hz objective: -0.303
train: epoch 18: 23/ 25: 697.6 Hz objective: -0.298
train: epoch 18: 25/ 25: 697.7 Hz objective: -0.298
@processEpoch: Avg objective = -0.302304
@processEpoch: Epoch 18, learningRate = 1.000000e-03
val: epoch 18: 1/ 5: 1325.1 Hz objective: -0.249
val: epoch 18: 5/ 5: 1443.4 Hz objective: -0.242
@processEpoch: Avg objective = -0.244038
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 19, learningRate = 1.000000e-03
train: epoch 19: 1/ 25: 1066.4 Hz objective: -0.324
train: epoch 19: 12/ 25: 689.2 Hz objective: -0.309
train: epoch 19: 23/ 25: 687.8 Hz objective: -0.312
train: epoch 19: 25/ 25: 690.0 Hz objective: -0.312
@processEpoch: Avg objective = -0.311297
@processEpoch: Epoch 19, learningRate = 1.000000e-03
val: epoch 19: 1/ 5: 1351.8 Hz objective: -0.224
val: epoch 19: 5/ 5: 1425.2 Hz objective: -0.236
@processEpoch: Avg objective = -0.239016
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 20, learningRate = 1.000000e-03
train: epoch 20: 1/ 25: 1148.0 Hz objective: -0.334
train: epoch 20: 12/ 25: 678.7 Hz objective: -0.316
train: epoch 20: 22/ 25: 671.5 Hz objective: -0.316
train: epoch 20: 25/ 25: 674.7 Hz objective: -0.315
@processEpoch: Avg objective = -0.31824
@processEpoch: Epoch 20, learningRate = 1.000000e-03
val: epoch 20: 1/ 5: 1422.6 Hz objective: -0.232
val: epoch 20: 5/ 5: 1427.3 Hz objective: -0.245
@processEpoch: Avg objective = -0.240997
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@test_supervised: MI-cifar12-vggf-sp1
@test_supervised: 1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005
Name Size Bytes Class Attributes
Ytest 1000x1 4000 single
Ytrain 59000x1 236000 single
Testing network... Elapsed time is 0.703844 seconds.
Testing network... Elapsed time is 41.240923 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.639006
@evaluate_tieAP: 1.15 seconds
@evaluate_AP: Eval full ranking
@evaluate_AP: AP = 0.638871
@evaluate_AP: optim_AP = 0.776746
@evaluate_AP: pessi_AP = 0.518468
@evaluate_AP: 8.22 seconds
@processEpoch: Epoch 21, learningRate = 1.000000e-03
train: epoch 21: 1/ 25: 1115.4 Hz objective: -0.325
train: epoch 21: 11/ 25: 660.9 Hz objective: -0.320
train: epoch 21: 21/ 25: 660.1 Hz objective: -0.324
train: epoch 21: 25/ 25: 662.4 Hz objective: -0.322
@processEpoch: Avg objective = -0.321662
@processEpoch: Epoch 21, learningRate = 1.000000e-03
val: epoch 21: 1/ 5: 1437.9 Hz objective: -0.233
val: epoch 21: 5/ 5: 1423.7 Hz objective: -0.245
@processEpoch: Avg objective = -0.237396
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 22, learningRate = 1.000000e-03
train: epoch 22: 1/ 25: 1147.2 Hz objective: -0.336
train: epoch 22: 11/ 25: 652.5 Hz objective: -0.323
train: epoch 22: 21/ 25: 648.4 Hz objective: -0.323
train: epoch 22: 25/ 25: 649.8 Hz objective: -0.325
@processEpoch: Avg objective = -0.326486
@processEpoch: Epoch 22, learningRate = 1.000000e-03
val: epoch 22: 1/ 5: 1433.8 Hz objective: -0.245
val: epoch 22: 5/ 5: 1443.8 Hz objective: -0.246
@processEpoch: Avg objective = -0.24858
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 23, learningRate = 1.000000e-03
train: epoch 23: 1/ 25: 1160.3 Hz objective: -0.317
train: epoch 23: 11/ 25: 649.8 Hz objective: -0.331
train: epoch 23: 21/ 25: 649.7 Hz objective: -0.337
train: epoch 23: 25/ 25: 647.4 Hz objective: -0.335
@processEpoch: Avg objective = -0.333701
@processEpoch: Epoch 23, learningRate = 1.000000e-03
val: epoch 23: 1/ 5: 1349.3 Hz objective: -0.231
val: epoch 23: 5/ 5: 1422.0 Hz objective: -0.241
@processEpoch: Avg objective = -0.243608
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 24, learningRate = 1.000000e-03
train: epoch 24: 1/ 25: 1159.1 Hz objective: -0.322
train: epoch 24: 11/ 25: 644.8 Hz objective: -0.331
train: epoch 24: 21/ 25: 642.1 Hz objective: -0.335
train: epoch 24: 25/ 25: 643.2 Hz objective: -0.335
@processEpoch: Avg objective = -0.331386
@processEpoch: Epoch 24, learningRate = 1.000000e-03
val: epoch 24: 1/ 5: 1423.1 Hz objective: -0.245
val: epoch 24: 5/ 5: 1420.0 Hz objective: -0.240
@processEpoch: Avg objective = -0.239801
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 25, learningRate = 1.000000e-03
train: epoch 25: 1/ 25: 1142.5 Hz objective: -0.317
train: epoch 25: 11/ 25: 649.5 Hz objective: -0.344
train: epoch 25: 21/ 25: 649.3 Hz objective: -0.343
train: epoch 25: 25/ 25: 648.1 Hz objective: -0.342
@processEpoch: Avg objective = -0.339199
@processEpoch: Epoch 25, learningRate = 1.000000e-03
val: epoch 25: 1/ 5: 1395.6 Hz objective: -0.247
val: epoch 25: 5/ 5: 1381.4 Hz objective: -0.242
@processEpoch: Avg objective = -0.240205
@saveState: Saving: ./cachedir/MI-cifar12-vggf-sp1/1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005/net-epoch-25.mat
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 26, learningRate = 1.000000e-03
train: epoch 26: 1/ 25: 1001.6 Hz objective: -0.340
train: epoch 26: 11/ 25: 638.9 Hz objective: -0.342
train: epoch 26: 21/ 25: 642.6 Hz objective: -0.340
train: epoch 26: 25/ 25: 643.8 Hz objective: -0.342
@processEpoch: Avg objective = -0.338407
@processEpoch: Epoch 26, learningRate = 1.000000e-03
val: epoch 26: 1/ 5: 1415.5 Hz objective: -0.251
val: epoch 26: 5/ 5: 1413.2 Hz objective: -0.246
@processEpoch: Avg objective = -0.24958
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 27, learningRate = 1.000000e-03
train: epoch 27: 1/ 25: 1143.9 Hz objective: -0.365
train: epoch 27: 11/ 25: 642.0 Hz objective: -0.352
train: epoch 27: 21/ 25: 646.1 Hz objective: -0.350
train: epoch 27: 25/ 25: 646.6 Hz objective: -0.350
@processEpoch: Avg objective = -0.350689
@processEpoch: Epoch 27, learningRate = 1.000000e-03
val: epoch 27: 1/ 5: 1438.0 Hz objective: -0.270
val: epoch 27: 5/ 5: 1407.6 Hz objective: -0.252
@processEpoch: Avg objective = -0.26129
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 28, learningRate = 1.000000e-03
train: epoch 28: 1/ 25: 1151.6 Hz objective: -0.349
train: epoch 28: 11/ 25: 634.4 Hz objective: -0.352
train: epoch 28: 21/ 25: 637.2 Hz objective: -0.354
train: epoch 28: 25/ 25: 636.3 Hz objective: -0.355
@processEpoch: Avg objective = -0.351399
@processEpoch: Epoch 28, learningRate = 1.000000e-03
val: epoch 28: 1/ 5: 1366.0 Hz objective: -0.240
val: epoch 28: 5/ 5: 1377.0 Hz objective: -0.250
@processEpoch: Avg objective = -0.249019
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 29, learningRate = 1.000000e-03
train: epoch 29: 1/ 25: 1105.7 Hz objective: -0.352
train: epoch 29: 11/ 25: 648.2 Hz objective: -0.359
train: epoch 29: 21/ 25: 648.0 Hz objective: -0.359
train: epoch 29: 25/ 25: 648.0 Hz objective: -0.359
@processEpoch: Avg objective = -0.357793
@processEpoch: Epoch 29, learningRate = 1.000000e-03
val: epoch 29: 1/ 5: 1430.9 Hz objective: -0.238
val: epoch 29: 5/ 5: 1415.9 Hz objective: -0.245
@processEpoch: Avg objective = -0.24067
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 30, learningRate = 1.000000e-03
train: epoch 30: 1/ 25: 1140.3 Hz objective: -0.366
train: epoch 30: 11/ 25: 648.2 Hz objective: -0.354
train: epoch 30: 21/ 25: 648.4 Hz objective: -0.359
train: epoch 30: 25/ 25: 646.4 Hz objective: -0.361
@processEpoch: Avg objective = -0.358116
@processEpoch: Epoch 30, learningRate = 1.000000e-03
val: epoch 30: 1/ 5: 1414.5 Hz objective: -0.266
val: epoch 30: 5/ 5: 1411.1 Hz objective: -0.252
@processEpoch: Avg objective = -0.256416
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@test_supervised: MI-cifar12-vggf-sp1
@test_supervised: 1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005
Name Size Bytes Class Attributes
Ytest 1000x1 4000 single
Ytrain 59000x1 236000 single
Testing network... Elapsed time is 0.711611 seconds.
Testing network... Elapsed time is 41.214636 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.676383
@evaluate_tieAP: 1.15 seconds
@evaluate_AP: Eval full ranking
@evaluate_AP: AP = 0.67626
@evaluate_AP: optim_AP = 0.800777
@evaluate_AP: pessi_AP = 0.556404
@evaluate_AP: 8.23 seconds
@processEpoch: Epoch 31, learningRate = 1.000000e-03
train: epoch 31: 1/ 25: 1102.7 Hz objective: -0.357
train: epoch 31: 11/ 25: 643.4 Hz objective: -0.370
train: epoch 31: 21/ 25: 645.5 Hz objective: -0.365
train: epoch 31: 25/ 25: 645.8 Hz objective: -0.364
@processEpoch: Avg objective = -0.366234
@processEpoch: Epoch 31, learningRate = 1.000000e-03
val: epoch 31: 1/ 5: 1423.7 Hz objective: -0.251
val: epoch 31: 5/ 5: 1402.3 Hz objective: -0.251
@processEpoch: Avg objective = -0.252796
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 32, learningRate = 1.000000e-03
train: epoch 32: 1/ 25: 1093.7 Hz objective: -0.334
train: epoch 32: 11/ 25: 647.2 Hz objective: -0.365
train: epoch 32: 21/ 25: 647.8 Hz objective: -0.368
train: epoch 32: 25/ 25: 647.5 Hz objective: -0.366
@processEpoch: Avg objective = -0.363521
@processEpoch: Epoch 32, learningRate = 1.000000e-03
val: epoch 32: 1/ 5: 1426.7 Hz objective: -0.281
val: epoch 32: 5/ 5: 1407.8 Hz objective: -0.252
@processEpoch: Avg objective = -0.259739
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 33, learningRate = 1.000000e-03
train: epoch 33: 1/ 25: 1136.4 Hz objective: -0.384
train: epoch 33: 11/ 25: 647.1 Hz objective: -0.367
train: epoch 33: 21/ 25: 647.2 Hz objective: -0.362
train: epoch 33: 25/ 25: 646.9 Hz objective: -0.364
@processEpoch: Avg objective = -0.367403
@processEpoch: Epoch 33, learningRate = 1.000000e-03
val: epoch 33: 1/ 5: 1402.4 Hz objective: -0.257
val: epoch 33: 5/ 5: 1435.5 Hz objective: -0.258
@processEpoch: Avg objective = -0.254587
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 34, learningRate = 1.000000e-03
train: epoch 34: 1/ 25: 1135.9 Hz objective: -0.373
train: epoch 34: 11/ 25: 646.9 Hz objective: -0.367
train: epoch 34: 21/ 25: 643.1 Hz objective: -0.365
train: epoch 34: 25/ 25: 643.5 Hz objective: -0.364
@processEpoch: Avg objective = -0.365777
@processEpoch: Epoch 34, learningRate = 1.000000e-03
val: epoch 34: 1/ 5: 1411.8 Hz objective: -0.275
val: epoch 34: 5/ 5: 1396.3 Hz objective: -0.257
@processEpoch: Avg objective = -0.262014
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 35, learningRate = 1.000000e-03
train: epoch 35: 1/ 25: 1134.0 Hz objective: -0.395
train: epoch 35: 11/ 25: 642.5 Hz objective: -0.366
train: epoch 35: 21/ 25: 643.9 Hz objective: -0.363
train: epoch 35: 25/ 25: 644.2 Hz objective: -0.365
@processEpoch: Avg objective = -0.366901
@processEpoch: Epoch 35, learningRate = 1.000000e-03
val: epoch 35: 1/ 5: 1423.9 Hz objective: -0.225
val: epoch 35: 5/ 5: 1408.0 Hz objective: -0.257
@processEpoch: Avg objective = -0.247823
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 36, learningRate = 1.000000e-03
train: epoch 36: 1/ 25: 1149.8 Hz objective: -0.348
train: epoch 36: 11/ 25: 644.5 Hz objective: -0.371
train: epoch 36: 21/ 25: 642.0 Hz objective: -0.368
train: epoch 36: 25/ 25: 634.1 Hz objective: -0.370
@processEpoch: Avg objective = -0.366777
@processEpoch: Epoch 36, learningRate = 1.000000e-03
val: epoch 36: 1/ 5: 1404.7 Hz objective: -0.251
val: epoch 36: 5/ 5: 1288.8 Hz objective: -0.258
@processEpoch: Avg objective = -0.255436
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 37, learningRate = 1.000000e-03
train: epoch 37: 1/ 25: 1011.7 Hz objective: -0.354
train: epoch 37: 11/ 25: 632.0 Hz objective: -0.371
train: epoch 37: 21/ 25: 632.9 Hz objective: -0.369
train: epoch 37: 25/ 25: 631.2 Hz objective: -0.370
@processEpoch: Avg objective = -0.368721
@processEpoch: Epoch 37, learningRate = 1.000000e-03
val: epoch 37: 1/ 5: 1359.5 Hz objective: -0.260
val: epoch 37: 5/ 5: 1389.2 Hz objective: -0.256
@processEpoch: Avg objective = -0.258944
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 38, learningRate = 1.000000e-03
train: epoch 38: 1/ 25: 1114.5 Hz objective: -0.354
train: epoch 38: 11/ 25: 646.6 Hz objective: -0.367
train: epoch 38: 21/ 25: 647.9 Hz objective: -0.372
train: epoch 38: 25/ 25: 648.4 Hz objective: -0.371
@processEpoch: Avg objective = -0.368276
@processEpoch: Epoch 38, learningRate = 1.000000e-03
val: epoch 38: 1/ 5: 1434.0 Hz objective: -0.260
val: epoch 38: 5/ 5: 1416.6 Hz objective: -0.260
@processEpoch: Avg objective = -0.258486
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 39, learningRate = 1.000000e-03
train: epoch 39: 1/ 25: 1157.8 Hz objective: -0.393
train: epoch 39: 11/ 25: 650.5 Hz objective: -0.374
train: epoch 39: 21/ 25: 644.6 Hz objective: -0.374
train: epoch 39: 25/ 25: 644.2 Hz objective: -0.373
@processEpoch: Avg objective = -0.376361
@processEpoch: Epoch 39, learningRate = 1.000000e-03
val: epoch 39: 1/ 5: 1369.1 Hz objective: -0.258
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@processEpoch: Avg objective = -0.258671
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@processEpoch: Epoch 40, learningRate = 1.000000e-03
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train: epoch 40: 21/ 25: 649.7 Hz objective: -0.374
train: epoch 40: 25/ 25: 649.8 Hz objective: -0.373
@processEpoch: Avg objective = -0.374033
@processEpoch: Epoch 40, learningRate = 1.000000e-03
val: epoch 40: 1/ 5: 1443.5 Hz objective: -0.268
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@processEpoch: Avg objective = -0.26527
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@test_supervised: MI-cifar12-vggf-sp1
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Testing network... Elapsed time is 0.748678 seconds.
Testing network... Elapsed time is 41.385850 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.677734
@evaluate_tieAP: 1.15 seconds
@evaluate_AP: Eval full ranking
@evaluate_AP: AP = 0.677887
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@evaluate_AP: 8.23 seconds
@processEpoch: Epoch 41, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.373755
@processEpoch: Epoch 41, learningRate = 1.000000e-03
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@processEpoch: Epoch 42, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.374021
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@processEpoch: Avg objective = -0.260979
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@processEpoch: Epoch 43, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.374654
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@processEpoch: Avg objective = -0.257001
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@processEpoch: Epoch 44, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.374871
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@processEpoch: Avg objective = -0.257682
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@processEpoch: Epoch 45, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.375236
@processEpoch: Epoch 45, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.264373
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 46, learningRate = 1.000000e-03
train: epoch 46: 1/ 25: 1149.6 Hz objective: -0.379
train: epoch 46: 11/ 25: 647.4 Hz objective: -0.382
train: epoch 46: 21/ 25: 646.4 Hz objective: -0.380
train: epoch 46: 25/ 25: 646.0 Hz objective: -0.377
@processEpoch: Avg objective = -0.379877
@processEpoch: Epoch 46, learningRate = 1.000000e-03
val: epoch 46: 1/ 5: 1427.0 Hz objective: -0.254
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@processEpoch: Avg objective = -0.261495
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 47, learningRate = 1.000000e-03
train: epoch 47: 1/ 25: 1138.9 Hz objective: -0.377
train: epoch 47: 11/ 25: 641.2 Hz objective: -0.379
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@processEpoch: Avg objective = -0.376966
@processEpoch: Epoch 47, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.264082
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 48, learningRate = 1.000000e-03
train: epoch 48: 1/ 25: 1148.5 Hz objective: -0.368
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train: epoch 48: 21/ 25: 638.1 Hz objective: -0.381
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@processEpoch: Avg objective = -0.378757
@processEpoch: Epoch 48, learningRate = 1.000000e-03
val: epoch 48: 1/ 5: 1402.1 Hz objective: -0.277
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@processEpoch: Avg objective = -0.269263
@epoch_callback: [MI-cifar12-vggf-sp1]
@epoch_callback: [1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005]
@processEpoch: Epoch 49, learningRate = 1.000000e-03
train: epoch 49: 1/ 25: 1141.4 Hz objective: -0.379
train: epoch 49: 11/ 25: 632.1 Hz objective: -0.376
train: epoch 49: 21/ 25: 630.8 Hz objective: -0.377
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@processEpoch: Avg objective = -0.376091
@processEpoch: Epoch 49, learningRate = 1.000000e-03
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@processEpoch: Avg objective = -0.261314
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@processEpoch: Epoch 50, learningRate = 1.000000e-03
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train: epoch 50: 11/ 25: 644.9 Hz objective: -0.381
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@processEpoch: Avg objective = -0.378259
@processEpoch: Epoch 50, learningRate = 1.000000e-03
val: epoch 50: 1/ 5: 1410.5 Hz objective: -0.245
val: epoch 50: 5/ 5: 1412.1 Hz objective: -0.261
@processEpoch: Avg objective = -0.255302
@saveState: Saving: ./cachedir/MI-cifar12-vggf-sp1/1016.225200-Bin10Sig10,0-batch200-sgdLR0.001D0.5E50-wdecay0.0005/net-epoch-50.mat
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@test_supervised: MI-cifar12-vggf-sp1
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Name Size Bytes Class Attributes
Ytest 1000x1 4000 single
Ytrain 59000x1 236000 single
Testing network... Elapsed time is 0.754648 seconds.
Testing network... Elapsed time is 41.245476 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.685279
@evaluate_tieAP: 1.15 seconds
@evaluate_AP: Eval full ranking
@evaluate_AP: AP = 0.68632
@evaluate_AP: optim_AP = 0.810332
@evaluate_AP: pessi_AP = 0.564742
@evaluate_AP: 8.28 seconds
@processEpoch: Epoch 51, learningRate = 5.000000e-04
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train: epoch 51: 21/ 25: 648.0 Hz objective: -0.383
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@processEpoch: Avg objective = -0.378397
@processEpoch: Epoch 51, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.2542
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@processEpoch: Epoch 52, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.379353
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@processEpoch: Avg objective = -0.257444
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@processEpoch: Epoch 53, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.381903
@processEpoch: Epoch 53, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.253931
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@processEpoch: Epoch 54, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.38006
@processEpoch: Epoch 54, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.260944
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@processEpoch: Epoch 55, learningRate = 5.000000e-04
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train: epoch 55: 11/ 25: 645.8 Hz objective: -0.385
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@processEpoch: Avg objective = -0.382431
@processEpoch: Epoch 55, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.254332
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@processEpoch: Epoch 56, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.378139
@processEpoch: Epoch 56, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.254814
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@processEpoch: Epoch 57, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.383644
@processEpoch: Epoch 57, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.251046
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@processEpoch: Epoch 58, learningRate = 5.000000e-04
train: epoch 58: 1/ 25: 1130.6 Hz objective: -0.390
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@processEpoch: Avg objective = -0.385839
@processEpoch: Epoch 58, learningRate = 5.000000e-04
val: epoch 58: 1/ 5: 1383.1 Hz objective: -0.246
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@processEpoch: Avg objective = -0.257627
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@processEpoch: Epoch 59, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.381335
@processEpoch: Epoch 59, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.261248
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@processEpoch: Epoch 60, learningRate = 5.000000e-04
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train: epoch 60: 21/ 25: 644.3 Hz objective: -0.379
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@processEpoch: Avg objective = -0.378527
@processEpoch: Epoch 60, learningRate = 5.000000e-04
val: epoch 60: 1/ 5: 1390.0 Hz objective: -0.252
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@processEpoch: Avg objective = -0.258865
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Testing network... Elapsed time is 0.708325 seconds.
Testing network... Elapsed time is 41.436116 seconds.
@test_supervised: Evaluating...
@evaluate_tieAP: AP-T = 0.680114
@evaluate_tieAP: 1.16 seconds
@evaluate_AP: Eval full ranking
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@processEpoch: Epoch 61, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.379403
@processEpoch: Epoch 61, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.263052
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@processEpoch: Epoch 62, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.378769
@processEpoch: Epoch 62, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.262043
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@processEpoch: Epoch 63, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.386586
@processEpoch: Epoch 63, learningRate = 5.000000e-04
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@processEpoch: Avg objective = -0.275252
@epoch_callback: [MI-cifar12-vggf-sp1]