CPU info:
    CPU Model Name: Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
    Hardware threads: 24
    Total Memory: 264172964 kB
-------------------------------------------------------------------
=== Running /home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/build/gpu/release/bin/cntk configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_TrainSimpleNetwork.cntk currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR RunDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DataDir=/home/philly/data/CNTKTestData/Speech/ASR ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config OutputDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DeviceId=0 timestamping=true LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib ScpDir=/home/philly/data/CNTKTestData/Speech/ASR MlfDir=/home/philly/data/CNTKTestData/Speech/ASR NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config ExpDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp DeviceNumber=0 TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]
CNTK 2.0.beta4.0+ (HEAD a2a030, Nov 23 2016 18:41:41) on localhost at 2016/11/24 20:14:50

/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/build/gpu/release/bin/cntk  configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_TrainSimpleNetwork.cntk  currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR  RunDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DataDir=/home/philly/data/CNTKTestData/Speech/ASR  ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  OutputDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DeviceId=0  timestamping=true  LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib  ScpDir=/home/philly/data/CNTKTestData/Speech/ASR  MlfDir=/home/philly/data/CNTKTestData/Speech/ASR  NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  ExpDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp  DeviceNumber=0  TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]
Changed current directory to /home/philly/data/CNTKTestData/Speech/ASR

11/24/2016 20:14:51: ##############################################################################
11/24/2016 20:14:51: #                                                                            #
11/24/2016 20:14:51: # TIMIT_TrainSimple command (train action)                                   #
11/24/2016 20:14:51: #                                                                            #
11/24/2016 20:14:51: ##############################################################################

11/24/2016 20:14:51: 
Creating virgin network.
SimpleNetworkBuilder Using GPU 0
reading script file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn ... 3696 entries
total 183 state names in state list /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.statelist
htkmlfreader: reading MLF file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.align_cistate.mlf.cntk ... total 3696 entries
....................................................................................................feature set 0: 1124823 frames in 3696 out of 3696 utterances
label set 0: 183 classes
minibatchutterancesource: 3696 utterances grouped into 13 chunks, av. chunk size: 284.3 utterances, 86524.8 frames
11/24/2016 20:14:51: 
Model has 30 nodes. Using GPU 0.

11/24/2016 20:14:51: Training criterion:   CrossEntropyWithSoftmax = CrossEntropyWithSoftmax
11/24/2016 20:14:51: Evaluation criterion: EvalClassificationError = ClassificationError


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 50 matrices, 27 are shared as 11, and 23 are not shared.

	{ B0 : [512 x 1] (gradient)
	  H1 : [512 x 1 x *] (gradient)
	  W1*H1+B1 : [512 x 1 x *] (gradient)
	  W2*H2 : [512 x 1 x *] }
	{ H2 : [512 x 1 x *]
	  W1*H1 : [512 x 1 x *] (gradient) }
	{ W1 : [512 x 512] (gradient)
	  W1*H1+B1 : [512 x 1 x *] }
	{ W2 : [512 x 512] (gradient)
	  W2*H2+B2 : [512 x 1 x *] }
	{ H1 : [512 x 1 x *]
	  W0*features : [512 x *] (gradient) }
	{ B1 : [512 x 1] (gradient)
	  H2 : [512 x 1 x *] (gradient)
	  W2*H2+B2 : [512 x 1 x *] (gradient)
	  W3*H2 : [183 x 1 x *] }
	{ W0*features+B0 : [512 x 1 x *] (gradient)
	  W1*H1 : [512 x 1 x *] }
	{ B2 : [512 x 1] (gradient)
	  H3 : [512 x 1 x *] (gradient)
	  HLast : [183 x 1 x *] (gradient) }
	{ W0 : [512 x 792] (gradient)
	  W0*features+B0 : [512 x 1 x *] }
	{ HLast : [183 x 1 x *]
	  W3 : [183 x 512] (gradient) }
	{ H3 : [512 x 1 x *]
	  W2*H2 : [512 x 1 x *] (gradient) }


11/24/2016 20:14:51: Training 1025207 parameters in 8 out of 8 parameter tensors and 20 nodes with gradient:

11/24/2016 20:14:51: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
11/24/2016 20:14:51: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
11/24/2016 20:14:51: 	Node 'B2' (LearnableParameter operation) : [512 x 1]
11/24/2016 20:14:51: 	Node 'B3' (LearnableParameter operation) : [183 x 1]
11/24/2016 20:14:51: 	Node 'W0' (LearnableParameter operation) : [512 x 792]
11/24/2016 20:14:51: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
11/24/2016 20:14:51: 	Node 'W2' (LearnableParameter operation) : [512 x 512]
11/24/2016 20:14:51: 	Node 'W3' (LearnableParameter operation) : [183 x 512]


11/24/2016 20:14:51: Precomputing --> 3 PreCompute nodes found.

11/24/2016 20:14:51: 	MeanOfFeatures = Mean()
11/24/2016 20:14:51: 	InvStdOfFeatures = InvStdDev()
11/24/2016 20:14:51: 	Prior = Mean()
minibatchiterator: epoch 0: frames [0..1124823] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses
requiredata: determined feature kind as 72-dimensional 'FBANK_D_A_Z' with frame shift 10.0 ms

11/24/2016 20:14:55: Precomputing --> Completed.


11/24/2016 20:14:55: Starting Epoch 1: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 2429.8 samples
minibatchiterator: epoch 0: frames [0..1124823] (first utterance at frame 0), data subset 0 of 1, with 1 datapasses

11/24/2016 20:14:55: Starting minibatch loop.
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[   1-  10]: CrossEntropyWithSoftmax = 5.02329865 * 2560; EvalClassificationError = 0.96875000 * 2560; time = 0.0252s; samplesPerSecond = 101430.3
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  11-  20]: CrossEntropyWithSoftmax = 4.94702911 * 2560; EvalClassificationError = 0.96679688 * 2560; time = 0.0219s; samplesPerSecond = 116895.0
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  21-  30]: CrossEntropyWithSoftmax = 4.92615509 * 2560; EvalClassificationError = 0.95000000 * 2560; time = 0.0221s; samplesPerSecond = 115821.4
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  31-  40]: CrossEntropyWithSoftmax = 4.93515778 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0220s; samplesPerSecond = 116501.3
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  41-  50]: CrossEntropyWithSoftmax = 4.90809326 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0220s; samplesPerSecond = 116136.6
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  51-  60]: CrossEntropyWithSoftmax = 4.91466675 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0219s; samplesPerSecond = 117103.5
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  61-  70]: CrossEntropyWithSoftmax = 4.89143982 * 2560; EvalClassificationError = 0.95781250 * 2560; time = 0.0221s; samplesPerSecond = 116078.7
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  71-  80]: CrossEntropyWithSoftmax = 4.88919678 * 2560; EvalClassificationError = 0.95781250 * 2560; time = 0.0220s; samplesPerSecond = 116115.6
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  81-  90]: CrossEntropyWithSoftmax = 4.84163818 * 2560; EvalClassificationError = 0.94960937 * 2560; time = 0.0214s; samplesPerSecond = 119352.9
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[  91- 100]: CrossEntropyWithSoftmax = 4.86937866 * 2560; EvalClassificationError = 0.95898438 * 2560; time = 0.0202s; samplesPerSecond = 126451.0
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 101- 110]: CrossEntropyWithSoftmax = 4.83511047 * 2560; EvalClassificationError = 0.95429688 * 2560; time = 0.0200s; samplesPerSecond = 127770.0
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 111- 120]: CrossEntropyWithSoftmax = 4.82700195 * 2560; EvalClassificationError = 0.95117188 * 2560; time = 0.0203s; samplesPerSecond = 126089.7
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 121- 130]: CrossEntropyWithSoftmax = 4.74016113 * 2560; EvalClassificationError = 0.94257813 * 2560; time = 0.0203s; samplesPerSecond = 126407.3
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 131- 140]: CrossEntropyWithSoftmax = 4.68679810 * 2560; EvalClassificationError = 0.93945312 * 2560; time = 0.0202s; samplesPerSecond = 126657.4
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 141- 150]: CrossEntropyWithSoftmax = 4.64284058 * 2560; EvalClassificationError = 0.92265625 * 2560; time = 0.0202s; samplesPerSecond = 126613.6
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 151- 160]: CrossEntropyWithSoftmax = 4.61323853 * 2560; EvalClassificationError = 0.91015625 * 2560; time = 0.0201s; samplesPerSecond = 127610.8
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 161- 170]: CrossEntropyWithSoftmax = 4.51203613 * 2560; EvalClassificationError = 0.91875000 * 2560; time = 0.0209s; samplesPerSecond = 122207.4
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 171- 180]: CrossEntropyWithSoftmax = 4.47228394 * 2560; EvalClassificationError = 0.90585938 * 2560; time = 0.0201s; samplesPerSecond = 127141.8
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 181- 190]: CrossEntropyWithSoftmax = 4.38565674 * 2560; EvalClassificationError = 0.90703125 * 2560; time = 0.0201s; samplesPerSecond = 127610.8
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 191- 200]: CrossEntropyWithSoftmax = 4.39929810 * 2560; EvalClassificationError = 0.90000000 * 2560; time = 0.0201s; samplesPerSecond = 127420.2
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 201- 210]: CrossEntropyWithSoftmax = 4.37116089 * 2560; EvalClassificationError = 0.90273437 * 2560; time = 0.0199s; samplesPerSecond = 128934.8
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 211- 220]: CrossEntropyWithSoftmax = 4.30416260 * 2560; EvalClassificationError = 0.90390625 * 2560; time = 0.0201s; samplesPerSecond = 127629.9
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 221- 230]: CrossEntropyWithSoftmax = 4.28906250 * 2560; EvalClassificationError = 0.91210938 * 2560; time = 0.0201s; samplesPerSecond = 127135.5
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 231- 240]: CrossEntropyWithSoftmax = 4.25815430 * 2560; EvalClassificationError = 0.90273437 * 2560; time = 0.0201s; samplesPerSecond = 127432.9
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 241- 250]: CrossEntropyWithSoftmax = 4.19360352 * 2560; EvalClassificationError = 0.91875000 * 2560; time = 0.0202s; samplesPerSecond = 126751.5
11/24/2016 20:14:55:  Epoch[ 1 of 25]-Minibatch[ 251- 260]: CrossEntropyWithSoftmax = 4.20480957 * 2560; EvalClassificationError = 0.89414063 * 2560; time = 0.0198s; samplesPerSecond = 129129.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 261- 270]: CrossEntropyWithSoftmax = 4.15876465 * 2560; EvalClassificationError = 0.89960938 * 2560; time = 0.0201s; samplesPerSecond = 127116.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 271- 280]: CrossEntropyWithSoftmax = 4.16860352 * 2560; EvalClassificationError = 0.91054687 * 2560; time = 0.0200s; samplesPerSecond = 127687.2
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 281- 290]: CrossEntropyWithSoftmax = 4.09724121 * 2560; EvalClassificationError = 0.89453125 * 2560; time = 0.0201s; samplesPerSecond = 127572.6
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 291- 300]: CrossEntropyWithSoftmax = 4.05250244 * 2560; EvalClassificationError = 0.89257812 * 2560; time = 0.0201s; samplesPerSecond = 127483.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 301- 310]: CrossEntropyWithSoftmax = 4.02773437 * 2560; EvalClassificationError = 0.88007813 * 2560; time = 0.0198s; samplesPerSecond = 129489.1
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 311- 320]: CrossEntropyWithSoftmax = 3.94299316 * 2560; EvalClassificationError = 0.87304688 * 2560; time = 0.0200s; samplesPerSecond = 127833.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 321- 330]: CrossEntropyWithSoftmax = 3.96142578 * 2560; EvalClassificationError = 0.87070313 * 2560; time = 0.0199s; samplesPerSecond = 128346.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 331- 340]: CrossEntropyWithSoftmax = 3.95329590 * 2560; EvalClassificationError = 0.88476562 * 2560; time = 0.0199s; samplesPerSecond = 128902.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 341- 350]: CrossEntropyWithSoftmax = 3.82735596 * 2560; EvalClassificationError = 0.87421875 * 2560; time = 0.0199s; samplesPerSecond = 128720.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 351- 360]: CrossEntropyWithSoftmax = 3.84881592 * 2560; EvalClassificationError = 0.88046875 * 2560; time = 0.0197s; samplesPerSecond = 129883.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 361- 370]: CrossEntropyWithSoftmax = 3.71212158 * 2560; EvalClassificationError = 0.85117188 * 2560; time = 0.0199s; samplesPerSecond = 128630.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 371- 380]: CrossEntropyWithSoftmax = 3.71199951 * 2560; EvalClassificationError = 0.84218750 * 2560; time = 0.0200s; samplesPerSecond = 128057.6
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 381- 390]: CrossEntropyWithSoftmax = 3.66072998 * 2560; EvalClassificationError = 0.84062500 * 2560; time = 0.0200s; samplesPerSecond = 128147.4
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 391- 400]: CrossEntropyWithSoftmax = 3.65502930 * 2560; EvalClassificationError = 0.85507813 * 2560; time = 0.0199s; samplesPerSecond = 128863.4
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 401- 410]: CrossEntropyWithSoftmax = 3.61483154 * 2560; EvalClassificationError = 0.82695312 * 2560; time = 0.0197s; samplesPerSecond = 130035.0
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 411- 420]: CrossEntropyWithSoftmax = 3.53038330 * 2560; EvalClassificationError = 0.82890625 * 2560; time = 0.0200s; samplesPerSecond = 128288.6
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 421- 430]: CrossEntropyWithSoftmax = 3.52347412 * 2560; EvalClassificationError = 0.82070312 * 2560; time = 0.0198s; samplesPerSecond = 129019.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 431- 440]: CrossEntropyWithSoftmax = 3.50742187 * 2560; EvalClassificationError = 0.82109375 * 2560; time = 0.0198s; samplesPerSecond = 129097.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 441- 450]: CrossEntropyWithSoftmax = 3.47663574 * 2560; EvalClassificationError = 0.83320313 * 2560; time = 0.0200s; samplesPerSecond = 128282.2
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 451- 460]: CrossEntropyWithSoftmax = 3.42597656 * 2560; EvalClassificationError = 0.81523437 * 2560; time = 0.0196s; samplesPerSecond = 130512.4
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 461- 470]: CrossEntropyWithSoftmax = 3.43250732 * 2560; EvalClassificationError = 0.81367188 * 2560; time = 0.0200s; samplesPerSecond = 128230.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 471- 480]: CrossEntropyWithSoftmax = 3.38715820 * 2560; EvalClassificationError = 0.82265625 * 2560; time = 0.0199s; samplesPerSecond = 128824.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 481- 490]: CrossEntropyWithSoftmax = 3.31331787 * 2560; EvalClassificationError = 0.80078125 * 2560; time = 0.0200s; samplesPerSecond = 127693.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 491- 500]: CrossEntropyWithSoftmax = 3.29372559 * 2560; EvalClassificationError = 0.80781250 * 2560; time = 0.0200s; samplesPerSecond = 128198.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 501- 510]: CrossEntropyWithSoftmax = 3.27775879 * 2560; EvalClassificationError = 0.80468750 * 2560; time = 0.0198s; samplesPerSecond = 129600.6
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 511- 520]: CrossEntropyWithSoftmax = 3.24243164 * 2560; EvalClassificationError = 0.80078125 * 2560; time = 0.0201s; samplesPerSecond = 127566.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 521- 530]: CrossEntropyWithSoftmax = 3.25490723 * 2560; EvalClassificationError = 0.80781250 * 2560; time = 0.0200s; samplesPerSecond = 128134.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 531- 540]: CrossEntropyWithSoftmax = 3.22790527 * 2560; EvalClassificationError = 0.79062500 * 2560; time = 0.0200s; samplesPerSecond = 127789.1
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 541- 550]: CrossEntropyWithSoftmax = 3.24677734 * 2560; EvalClassificationError = 0.81054688 * 2560; time = 0.0202s; samplesPerSecond = 126965.2
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 551- 560]: CrossEntropyWithSoftmax = 3.21899414 * 2560; EvalClassificationError = 0.81132812 * 2560; time = 0.0198s; samplesPerSecond = 129227.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 561- 570]: CrossEntropyWithSoftmax = 3.18088379 * 2560; EvalClassificationError = 0.80273438 * 2560; time = 0.0201s; samplesPerSecond = 127160.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 571- 580]: CrossEntropyWithSoftmax = 3.20419922 * 2560; EvalClassificationError = 0.79101562 * 2560; time = 0.0201s; samplesPerSecond = 127629.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 581- 590]: CrossEntropyWithSoftmax = 3.12900391 * 2560; EvalClassificationError = 0.76796875 * 2560; time = 0.0201s; samplesPerSecond = 127299.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 591- 600]: CrossEntropyWithSoftmax = 3.05129395 * 2560; EvalClassificationError = 0.76796875 * 2560; time = 0.0202s; samplesPerSecond = 126977.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 601- 610]: CrossEntropyWithSoftmax = 3.15358887 * 2560; EvalClassificationError = 0.77929688 * 2560; time = 0.0198s; samplesPerSecond = 129253.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 611- 620]: CrossEntropyWithSoftmax = 3.10710449 * 2560; EvalClassificationError = 0.78007812 * 2560; time = 0.0200s; samplesPerSecond = 127878.5
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 621- 630]: CrossEntropyWithSoftmax = 3.08015137 * 2560; EvalClassificationError = 0.77500000 * 2560; time = 0.0201s; samplesPerSecond = 127420.2
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 631- 640]: CrossEntropyWithSoftmax = 3.04318848 * 2560; EvalClassificationError = 0.78867188 * 2560; time = 0.0201s; samplesPerSecond = 127655.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 641- 650]: CrossEntropyWithSoftmax = 3.10952148 * 2560; EvalClassificationError = 0.78593750 * 2560; time = 0.0201s; samplesPerSecond = 127642.6
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 651- 660]: CrossEntropyWithSoftmax = 3.03674316 * 2560; EvalClassificationError = 0.77031250 * 2560; time = 0.0198s; samplesPerSecond = 129077.8
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 661- 670]: CrossEntropyWithSoftmax = 3.07541504 * 2560; EvalClassificationError = 0.79609375 * 2560; time = 0.0201s; samplesPerSecond = 127261.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 671- 680]: CrossEntropyWithSoftmax = 3.06040039 * 2560; EvalClassificationError = 0.77539062 * 2560; time = 0.0200s; samplesPerSecond = 127853.0
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 681- 690]: CrossEntropyWithSoftmax = 3.02038574 * 2560; EvalClassificationError = 0.76992187 * 2560; time = 0.0201s; samplesPerSecond = 127502.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 691- 700]: CrossEntropyWithSoftmax = 2.98227539 * 2560; EvalClassificationError = 0.75976562 * 2560; time = 0.0200s; samplesPerSecond = 127757.3
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 701- 710]: CrossEntropyWithSoftmax = 3.05676270 * 2560; EvalClassificationError = 0.78632813 * 2560; time = 0.0199s; samplesPerSecond = 128869.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 711- 720]: CrossEntropyWithSoftmax = 3.01845703 * 2560; EvalClassificationError = 0.78359375 * 2560; time = 0.0200s; samplesPerSecond = 127955.2
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 721- 730]: CrossEntropyWithSoftmax = 3.00637207 * 2560; EvalClassificationError = 0.77187500 * 2560; time = 0.0201s; samplesPerSecond = 127078.7
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 731- 740]: CrossEntropyWithSoftmax = 3.00661621 * 2560; EvalClassificationError = 0.77695313 * 2560; time = 0.0200s; samplesPerSecond = 127738.1
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 741- 750]: CrossEntropyWithSoftmax = 2.98386230 * 2560; EvalClassificationError = 0.78671875 * 2560; time = 0.0201s; samplesPerSecond = 127432.9
11/24/2016 20:14:56:  Epoch[ 1 of 25]-Minibatch[ 751- 760]: CrossEntropyWithSoftmax = 2.93425293 * 2560; EvalClassificationError = 0.75273437 * 2560; time = 0.0198s; samplesPerSecond = 128973.8
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 761- 770]: CrossEntropyWithSoftmax = 2.92717285 * 2560; EvalClassificationError = 0.75585938 * 2560; time = 0.0200s; samplesPerSecond = 127699.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 771- 780]: CrossEntropyWithSoftmax = 2.94372559 * 2560; EvalClassificationError = 0.76367188 * 2560; time = 0.0201s; samplesPerSecond = 127509.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 781- 790]: CrossEntropyWithSoftmax = 2.92272949 * 2560; EvalClassificationError = 0.75546875 * 2560; time = 0.0201s; samplesPerSecond = 127350.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 791- 800]: CrossEntropyWithSoftmax = 2.90649414 * 2560; EvalClassificationError = 0.75468750 * 2560; time = 0.0201s; samplesPerSecond = 127085.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 801- 810]: CrossEntropyWithSoftmax = 2.91682129 * 2560; EvalClassificationError = 0.76484375 * 2560; time = 0.0198s; samplesPerSecond = 129019.3
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 811- 820]: CrossEntropyWithSoftmax = 2.89306641 * 2560; EvalClassificationError = 0.75820312 * 2560; time = 0.0199s; samplesPerSecond = 128578.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 821- 830]: CrossEntropyWithSoftmax = 2.90424805 * 2560; EvalClassificationError = 0.75820312 * 2560; time = 0.0199s; samplesPerSecond = 128740.3
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 831- 840]: CrossEntropyWithSoftmax = 2.87753906 * 2560; EvalClassificationError = 0.74531250 * 2560; time = 0.0199s; samplesPerSecond = 128720.8
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 841- 850]: CrossEntropyWithSoftmax = 2.86728516 * 2560; EvalClassificationError = 0.74375000 * 2560; time = 0.0199s; samplesPerSecond = 128385.2
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 851- 860]: CrossEntropyWithSoftmax = 2.86523438 * 2560; EvalClassificationError = 0.74960938 * 2560; time = 0.0197s; samplesPerSecond = 129942.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 861- 870]: CrossEntropyWithSoftmax = 2.88623047 * 2560; EvalClassificationError = 0.75976562 * 2560; time = 0.0199s; samplesPerSecond = 128456.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 871- 880]: CrossEntropyWithSoftmax = 2.86486816 * 2560; EvalClassificationError = 0.75039062 * 2560; time = 0.0200s; samplesPerSecond = 128243.7
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 881- 890]: CrossEntropyWithSoftmax = 2.85991211 * 2560; EvalClassificationError = 0.75234375 * 2560; time = 0.0200s; samplesPerSecond = 127750.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 891- 900]: CrossEntropyWithSoftmax = 2.80754395 * 2560; EvalClassificationError = 0.74296875 * 2560; time = 0.0201s; samplesPerSecond = 127148.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 901- 910]: CrossEntropyWithSoftmax = 2.90803223 * 2560; EvalClassificationError = 0.76289063 * 2560; time = 0.0199s; samplesPerSecond = 128481.8
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 911- 920]: CrossEntropyWithSoftmax = 2.80161133 * 2560; EvalClassificationError = 0.73750000 * 2560; time = 0.0200s; samplesPerSecond = 127801.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 921- 930]: CrossEntropyWithSoftmax = 2.88962402 * 2560; EvalClassificationError = 0.75468750 * 2560; time = 0.0202s; samplesPerSecond = 126971.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 931- 940]: CrossEntropyWithSoftmax = 2.81369629 * 2560; EvalClassificationError = 0.74648437 * 2560; time = 0.0201s; samplesPerSecond = 127515.4
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 941- 950]: CrossEntropyWithSoftmax = 2.78107910 * 2560; EvalClassificationError = 0.72265625 * 2560; time = 0.0202s; samplesPerSecond = 126833.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 951- 960]: CrossEntropyWithSoftmax = 2.81569824 * 2560; EvalClassificationError = 0.74804688 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 961- 970]: CrossEntropyWithSoftmax = 2.83266602 * 2560; EvalClassificationError = 0.75078125 * 2560; time = 0.0202s; samplesPerSecond = 126563.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 971- 980]: CrossEntropyWithSoftmax = 2.75595703 * 2560; EvalClassificationError = 0.73359375 * 2560; time = 0.0201s; samplesPerSecond = 127477.3
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 981- 990]: CrossEntropyWithSoftmax = 2.74423828 * 2560; EvalClassificationError = 0.73164063 * 2560; time = 0.0201s; samplesPerSecond = 127483.7
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[ 991-1000]: CrossEntropyWithSoftmax = 2.76320801 * 2560; EvalClassificationError = 0.72148437 * 2560; time = 0.0201s; samplesPerSecond = 127299.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1001-1010]: CrossEntropyWithSoftmax = 2.76337891 * 2560; EvalClassificationError = 0.73281250 * 2560; time = 0.0199s; samplesPerSecond = 128572.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1011-1020]: CrossEntropyWithSoftmax = 2.77658691 * 2560; EvalClassificationError = 0.73632812 * 2560; time = 0.0201s; samplesPerSecond = 127547.2
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1021-1030]: CrossEntropyWithSoftmax = 2.72622070 * 2560; EvalClassificationError = 0.72929687 * 2560; time = 0.0201s; samplesPerSecond = 127559.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1031-1040]: CrossEntropyWithSoftmax = 2.69619141 * 2560; EvalClassificationError = 0.73476562 * 2560; time = 0.0200s; samplesPerSecond = 128102.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1041-1050]: CrossEntropyWithSoftmax = 2.73178711 * 2560; EvalClassificationError = 0.73710937 * 2560; time = 0.0200s; samplesPerSecond = 127789.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1051-1060]: CrossEntropyWithSoftmax = 2.75002441 * 2560; EvalClassificationError = 0.73671875 * 2560; time = 0.0200s; samplesPerSecond = 128147.4
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1061-1070]: CrossEntropyWithSoftmax = 2.72160645 * 2560; EvalClassificationError = 0.72460938 * 2560; time = 0.0201s; samplesPerSecond = 127129.2
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1071-1080]: CrossEntropyWithSoftmax = 2.74804688 * 2560; EvalClassificationError = 0.73945313 * 2560; time = 0.0201s; samplesPerSecond = 127452.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1081-1090]: CrossEntropyWithSoftmax = 2.70444336 * 2560; EvalClassificationError = 0.72617188 * 2560; time = 0.0201s; samplesPerSecond = 127471.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1091-1100]: CrossEntropyWithSoftmax = 2.75639648 * 2560; EvalClassificationError = 0.74101562 * 2560; time = 0.0200s; samplesPerSecond = 127699.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1101-1110]: CrossEntropyWithSoftmax = 2.69860840 * 2560; EvalClassificationError = 0.71718750 * 2560; time = 0.0200s; samplesPerSecond = 128166.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1111-1120]: CrossEntropyWithSoftmax = 2.72778320 * 2560; EvalClassificationError = 0.73281250 * 2560; time = 0.0201s; samplesPerSecond = 127591.7
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1121-1130]: CrossEntropyWithSoftmax = 2.67209473 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0200s; samplesPerSecond = 127770.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1131-1140]: CrossEntropyWithSoftmax = 2.67485352 * 2560; EvalClassificationError = 0.72968750 * 2560; time = 0.0200s; samplesPerSecond = 127801.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1141-1150]: CrossEntropyWithSoftmax = 2.63642578 * 2560; EvalClassificationError = 0.70976562 * 2560; time = 0.0200s; samplesPerSecond = 127763.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1151-1160]: CrossEntropyWithSoftmax = 2.61301270 * 2560; EvalClassificationError = 0.70546875 * 2560; time = 0.0199s; samplesPerSecond = 128578.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1161-1170]: CrossEntropyWithSoftmax = 2.63588867 * 2560; EvalClassificationError = 0.70703125 * 2560; time = 0.0201s; samplesPerSecond = 127534.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1171-1180]: CrossEntropyWithSoftmax = 2.69477539 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0200s; samplesPerSecond = 127840.2
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1181-1190]: CrossEntropyWithSoftmax = 2.65378418 * 2560; EvalClassificationError = 0.70507812 * 2560; time = 0.0200s; samplesPerSecond = 127795.5
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1191-1200]: CrossEntropyWithSoftmax = 2.66503906 * 2560; EvalClassificationError = 0.71406250 * 2560; time = 0.0201s; samplesPerSecond = 127097.6
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1201-1210]: CrossEntropyWithSoftmax = 2.64145508 * 2560; EvalClassificationError = 0.70820313 * 2560; time = 0.0199s; samplesPerSecond = 128818.0
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1211-1220]: CrossEntropyWithSoftmax = 2.64838867 * 2560; EvalClassificationError = 0.69882813 * 2560; time = 0.0201s; samplesPerSecond = 127528.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1221-1230]: CrossEntropyWithSoftmax = 2.66210938 * 2560; EvalClassificationError = 0.71757812 * 2560; time = 0.0200s; samplesPerSecond = 127955.2
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1231-1240]: CrossEntropyWithSoftmax = 2.62607422 * 2560; EvalClassificationError = 0.71250000 * 2560; time = 0.0200s; samplesPerSecond = 127821.1
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1241-1250]: CrossEntropyWithSoftmax = 2.65581055 * 2560; EvalClassificationError = 0.71875000 * 2560; time = 0.0201s; samplesPerSecond = 127375.9
11/24/2016 20:14:57:  Epoch[ 1 of 25]-Minibatch[1251-1260]: CrossEntropyWithSoftmax = 2.60053711 * 2560; EvalClassificationError = 0.70351562 * 2560; time = 0.0199s; samplesPerSecond = 128818.0
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1261-1270]: CrossEntropyWithSoftmax = 2.61318359 * 2560; EvalClassificationError = 0.70273438 * 2560; time = 0.0200s; samplesPerSecond = 128044.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1271-1280]: CrossEntropyWithSoftmax = 2.66152344 * 2560; EvalClassificationError = 0.72500000 * 2560; time = 0.0201s; samplesPerSecond = 127413.9
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1281-1290]: CrossEntropyWithSoftmax = 2.62094727 * 2560; EvalClassificationError = 0.71875000 * 2560; time = 0.0201s; samplesPerSecond = 127579.0
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1291-1300]: CrossEntropyWithSoftmax = 2.62060547 * 2560; EvalClassificationError = 0.69726562 * 2560; time = 0.0201s; samplesPerSecond = 127236.6
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1301-1310]: CrossEntropyWithSoftmax = 2.58007812 * 2560; EvalClassificationError = 0.69765625 * 2560; time = 0.0200s; samplesPerSecond = 128205.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1311-1320]: CrossEntropyWithSoftmax = 2.57983398 * 2560; EvalClassificationError = 0.69531250 * 2560; time = 0.0199s; samplesPerSecond = 128759.7
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1321-1330]: CrossEntropyWithSoftmax = 2.58779297 * 2560; EvalClassificationError = 0.68710938 * 2560; time = 0.0199s; samplesPerSecond = 128559.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1331-1340]: CrossEntropyWithSoftmax = 2.58750000 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0199s; samplesPerSecond = 128669.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1341-1350]: CrossEntropyWithSoftmax = 2.56894531 * 2560; EvalClassificationError = 0.69335938 * 2560; time = 0.0199s; samplesPerSecond = 128462.5
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1351-1360]: CrossEntropyWithSoftmax = 2.55424805 * 2560; EvalClassificationError = 0.68632812 * 2560; time = 0.0197s; samplesPerSecond = 129988.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1361-1370]: CrossEntropyWithSoftmax = 2.56611328 * 2560; EvalClassificationError = 0.68789062 * 2560; time = 0.0202s; samplesPerSecond = 126927.5
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1371-1380]: CrossEntropyWithSoftmax = 2.55312500 * 2560; EvalClassificationError = 0.70156250 * 2560; time = 0.0201s; samplesPerSecond = 127636.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1381-1390]: CrossEntropyWithSoftmax = 2.58666992 * 2560; EvalClassificationError = 0.70351562 * 2560; time = 0.0202s; samplesPerSecond = 126946.3
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1391-1400]: CrossEntropyWithSoftmax = 2.50410156 * 2560; EvalClassificationError = 0.68632812 * 2560; time = 0.0201s; samplesPerSecond = 127261.9
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1401-1410]: CrossEntropyWithSoftmax = 2.56782227 * 2560; EvalClassificationError = 0.68203125 * 2560; time = 0.0199s; samplesPerSecond = 128443.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1411-1420]: CrossEntropyWithSoftmax = 2.58056641 * 2560; EvalClassificationError = 0.70117188 * 2560; time = 0.0201s; samplesPerSecond = 127110.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1421-1430]: CrossEntropyWithSoftmax = 2.54785156 * 2560; EvalClassificationError = 0.69882813 * 2560; time = 0.0201s; samplesPerSecond = 127388.5
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1431-1440]: CrossEntropyWithSoftmax = 2.57539062 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0201s; samplesPerSecond = 127160.7
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1441-1450]: CrossEntropyWithSoftmax = 2.50761719 * 2560; EvalClassificationError = 0.68867188 * 2560; time = 0.0201s; samplesPerSecond = 127287.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1451-1460]: CrossEntropyWithSoftmax = 2.55478516 * 2560; EvalClassificationError = 0.69765625 * 2560; time = 0.0198s; samplesPerSecond = 129090.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1461-1470]: CrossEntropyWithSoftmax = 2.53676758 * 2560; EvalClassificationError = 0.68359375 * 2560; time = 0.0201s; samplesPerSecond = 127122.9
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1471-1480]: CrossEntropyWithSoftmax = 2.51381836 * 2560; EvalClassificationError = 0.68750000 * 2560; time = 0.0201s; samplesPerSecond = 127344.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1481-1490]: CrossEntropyWithSoftmax = 2.54560547 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0201s; samplesPerSecond = 127515.4
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1491-1500]: CrossEntropyWithSoftmax = 2.51396484 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0200s; samplesPerSecond = 127712.6
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1501-1510]: CrossEntropyWithSoftmax = 2.47202148 * 2560; EvalClassificationError = 0.66679687 * 2560; time = 0.0198s; samplesPerSecond = 129012.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1511-1520]: CrossEntropyWithSoftmax = 2.50366211 * 2560; EvalClassificationError = 0.67109375 * 2560; time = 0.0201s; samplesPerSecond = 127566.3
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1521-1530]: CrossEntropyWithSoftmax = 2.50844727 * 2560; EvalClassificationError = 0.67539063 * 2560; time = 0.0201s; samplesPerSecond = 127553.6
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1531-1540]: CrossEntropyWithSoftmax = 2.54194336 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0201s; samplesPerSecond = 127642.6
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1541-1550]: CrossEntropyWithSoftmax = 2.60683594 * 2560; EvalClassificationError = 0.70703125 * 2560; time = 0.0200s; samplesPerSecond = 127699.9
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1551-1560]: CrossEntropyWithSoftmax = 2.51660156 * 2560; EvalClassificationError = 0.70546875 * 2560; time = 0.0200s; samplesPerSecond = 128032.0
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1561-1570]: CrossEntropyWithSoftmax = 2.48530273 * 2560; EvalClassificationError = 0.68242187 * 2560; time = 0.0200s; samplesPerSecond = 128006.4
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1571-1580]: CrossEntropyWithSoftmax = 2.49321289 * 2560; EvalClassificationError = 0.68164062 * 2560; time = 0.0199s; samplesPerSecond = 128636.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1581-1590]: CrossEntropyWithSoftmax = 2.49687500 * 2560; EvalClassificationError = 0.67656250 * 2560; time = 0.0202s; samplesPerSecond = 126770.3
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1591-1600]: CrossEntropyWithSoftmax = 2.48608398 * 2560; EvalClassificationError = 0.67421875 * 2560; time = 0.0201s; samplesPerSecond = 127344.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1601-1610]: CrossEntropyWithSoftmax = 2.50244141 * 2560; EvalClassificationError = 0.68945312 * 2560; time = 0.0198s; samplesPerSecond = 129097.3
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1611-1620]: CrossEntropyWithSoftmax = 2.48432617 * 2560; EvalClassificationError = 0.68554688 * 2560; time = 0.0201s; samplesPerSecond = 127356.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1621-1630]: CrossEntropyWithSoftmax = 2.48593750 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0200s; samplesPerSecond = 127744.5
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1631-1640]: CrossEntropyWithSoftmax = 2.45395508 * 2560; EvalClassificationError = 0.67343750 * 2560; time = 0.0203s; samplesPerSecond = 126376.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1641-1650]: CrossEntropyWithSoftmax = 2.42553711 * 2560; EvalClassificationError = 0.67421875 * 2560; time = 0.0202s; samplesPerSecond = 127047.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1651-1660]: CrossEntropyWithSoftmax = 2.42167969 * 2560; EvalClassificationError = 0.66835937 * 2560; time = 0.0199s; samplesPerSecond = 128327.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1661-1670]: CrossEntropyWithSoftmax = 2.45419922 * 2560; EvalClassificationError = 0.67656250 * 2560; time = 0.0201s; samplesPerSecond = 127649.0
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1671-1680]: CrossEntropyWithSoftmax = 2.46909180 * 2560; EvalClassificationError = 0.68476563 * 2560; time = 0.0201s; samplesPerSecond = 127192.3
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1681-1690]: CrossEntropyWithSoftmax = 2.46279297 * 2560; EvalClassificationError = 0.67539063 * 2560; time = 0.0200s; samplesPerSecond = 127687.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1691-1700]: CrossEntropyWithSoftmax = 2.45917969 * 2560; EvalClassificationError = 0.68398437 * 2560; time = 0.0202s; samplesPerSecond = 126940.1
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1701-1710]: CrossEntropyWithSoftmax = 2.37773438 * 2560; EvalClassificationError = 0.65312500 * 2560; time = 0.0200s; samplesPerSecond = 128019.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1711-1720]: CrossEntropyWithSoftmax = 2.45747070 * 2560; EvalClassificationError = 0.66601562 * 2560; time = 0.0202s; samplesPerSecond = 126965.2
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1721-1730]: CrossEntropyWithSoftmax = 2.44643555 * 2560; EvalClassificationError = 0.68359375 * 2560; time = 0.0201s; samplesPerSecond = 127350.5
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1731-1740]: CrossEntropyWithSoftmax = 2.46235352 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0202s; samplesPerSecond = 127040.8
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1741-1750]: CrossEntropyWithSoftmax = 2.44238281 * 2560; EvalClassificationError = 0.67812500 * 2560; time = 0.0202s; samplesPerSecond = 127003.0
11/24/2016 20:14:58:  Epoch[ 1 of 25]-Minibatch[1751-1760]: CrossEntropyWithSoftmax = 2.42744141 * 2560; EvalClassificationError = 0.66484375 * 2560; time = 0.0199s; samplesPerSecond = 128746.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1761-1770]: CrossEntropyWithSoftmax = 2.38159180 * 2560; EvalClassificationError = 0.63671875 * 2560; time = 0.0201s; samplesPerSecond = 127236.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1771-1780]: CrossEntropyWithSoftmax = 2.46010742 * 2560; EvalClassificationError = 0.67304688 * 2560; time = 0.0201s; samplesPerSecond = 127579.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1781-1790]: CrossEntropyWithSoftmax = 2.38134766 * 2560; EvalClassificationError = 0.66093750 * 2560; time = 0.0201s; samplesPerSecond = 127502.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1791-1800]: CrossEntropyWithSoftmax = 2.48603516 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0201s; samplesPerSecond = 127655.3
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1801-1810]: CrossEntropyWithSoftmax = 2.41347656 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0198s; samplesPerSecond = 129292.9
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1811-1820]: CrossEntropyWithSoftmax = 2.36611328 * 2560; EvalClassificationError = 0.66796875 * 2560; time = 0.0199s; samplesPerSecond = 128391.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1821-1830]: CrossEntropyWithSoftmax = 2.37485352 * 2560; EvalClassificationError = 0.67187500 * 2560; time = 0.0199s; samplesPerSecond = 128662.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1831-1840]: CrossEntropyWithSoftmax = 2.41826172 * 2560; EvalClassificationError = 0.67500000 * 2560; time = 0.0198s; samplesPerSecond = 129195.1
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1841-1850]: CrossEntropyWithSoftmax = 2.42265625 * 2560; EvalClassificationError = 0.67031250 * 2560; time = 0.0199s; samplesPerSecond = 128585.1
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1851-1860]: CrossEntropyWithSoftmax = 2.33217773 * 2560; EvalClassificationError = 0.65195313 * 2560; time = 0.0198s; samplesPerSecond = 129240.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1861-1870]: CrossEntropyWithSoftmax = 2.37465820 * 2560; EvalClassificationError = 0.66601562 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1871-1880]: CrossEntropyWithSoftmax = 2.39116211 * 2560; EvalClassificationError = 0.65429688 * 2560; time = 0.0201s; samplesPerSecond = 127547.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1881-1890]: CrossEntropyWithSoftmax = 2.42309570 * 2560; EvalClassificationError = 0.66523438 * 2560; time = 0.0200s; samplesPerSecond = 127968.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1891-1900]: CrossEntropyWithSoftmax = 2.38745117 * 2560; EvalClassificationError = 0.65781250 * 2560; time = 0.0200s; samplesPerSecond = 128141.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1901-1910]: CrossEntropyWithSoftmax = 2.33354492 * 2560; EvalClassificationError = 0.64453125 * 2560; time = 0.0199s; samplesPerSecond = 128856.9
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1911-1920]: CrossEntropyWithSoftmax = 2.34599609 * 2560; EvalClassificationError = 0.65664062 * 2560; time = 0.0201s; samplesPerSecond = 127325.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1921-1930]: CrossEntropyWithSoftmax = 2.37822266 * 2560; EvalClassificationError = 0.66289062 * 2560; time = 0.0198s; samplesPerSecond = 128993.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1931-1940]: CrossEntropyWithSoftmax = 2.36235352 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0200s; samplesPerSecond = 128032.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1941-1950]: CrossEntropyWithSoftmax = 2.34887695 * 2560; EvalClassificationError = 0.67148438 * 2560; time = 0.0199s; samplesPerSecond = 128649.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1951-1960]: CrossEntropyWithSoftmax = 2.34179688 * 2560; EvalClassificationError = 0.65351563 * 2560; time = 0.0197s; samplesPerSecond = 129718.8
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1961-1970]: CrossEntropyWithSoftmax = 2.37895508 * 2560; EvalClassificationError = 0.66406250 * 2560; time = 0.0201s; samplesPerSecond = 127483.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1971-1980]: CrossEntropyWithSoftmax = 2.32309570 * 2560; EvalClassificationError = 0.63750000 * 2560; time = 0.0200s; samplesPerSecond = 127821.1
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1981-1990]: CrossEntropyWithSoftmax = 2.31000977 * 2560; EvalClassificationError = 0.63906250 * 2560; time = 0.0201s; samplesPerSecond = 127325.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[1991-2000]: CrossEntropyWithSoftmax = 2.34965820 * 2560; EvalClassificationError = 0.65351563 * 2560; time = 0.0201s; samplesPerSecond = 127585.3
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2001-2010]: CrossEntropyWithSoftmax = 2.29916992 * 2560; EvalClassificationError = 0.64570313 * 2560; time = 0.0199s; samplesPerSecond = 128546.3
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2011-2020]: CrossEntropyWithSoftmax = 2.35244141 * 2560; EvalClassificationError = 0.65312500 * 2560; time = 0.0201s; samplesPerSecond = 127078.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2021-2030]: CrossEntropyWithSoftmax = 2.31821289 * 2560; EvalClassificationError = 0.63710937 * 2560; time = 0.0200s; samplesPerSecond = 127725.4
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2031-2040]: CrossEntropyWithSoftmax = 2.34975586 * 2560; EvalClassificationError = 0.65078125 * 2560; time = 0.0200s; samplesPerSecond = 127763.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2041-2050]: CrossEntropyWithSoftmax = 2.35981445 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0200s; samplesPerSecond = 127731.8
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2051-2060]: CrossEntropyWithSoftmax = 2.32866211 * 2560; EvalClassificationError = 0.65703125 * 2560; time = 0.0199s; samplesPerSecond = 128365.8
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2061-2070]: CrossEntropyWithSoftmax = 2.35234375 * 2560; EvalClassificationError = 0.64765625 * 2560; time = 0.0201s; samplesPerSecond = 127521.8
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2071-2080]: CrossEntropyWithSoftmax = 2.31127930 * 2560; EvalClassificationError = 0.64765625 * 2560; time = 0.0201s; samplesPerSecond = 127299.9
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2081-2090]: CrossEntropyWithSoftmax = 2.31889648 * 2560; EvalClassificationError = 0.64375000 * 2560; time = 0.0201s; samplesPerSecond = 127388.5
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2091-2100]: CrossEntropyWithSoftmax = 2.30961914 * 2560; EvalClassificationError = 0.63828125 * 2560; time = 0.0201s; samplesPerSecond = 127572.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2101-2110]: CrossEntropyWithSoftmax = 2.26464844 * 2560; EvalClassificationError = 0.63789063 * 2560; time = 0.0199s; samplesPerSecond = 128443.1
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2111-2120]: CrossEntropyWithSoftmax = 2.31333008 * 2560; EvalClassificationError = 0.65585938 * 2560; time = 0.0202s; samplesPerSecond = 127034.5
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2121-2130]: CrossEntropyWithSoftmax = 2.24282227 * 2560; EvalClassificationError = 0.63710937 * 2560; time = 0.0201s; samplesPerSecond = 127604.4
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2131-2140]: CrossEntropyWithSoftmax = 2.28461914 * 2560; EvalClassificationError = 0.65000000 * 2560; time = 0.0200s; samplesPerSecond = 128282.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2141-2150]: CrossEntropyWithSoftmax = 2.27495117 * 2560; EvalClassificationError = 0.64531250 * 2560; time = 0.0201s; samplesPerSecond = 127394.9
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2151-2160]: CrossEntropyWithSoftmax = 2.24497070 * 2560; EvalClassificationError = 0.62578125 * 2560; time = 0.0199s; samplesPerSecond = 128850.4
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2161-2170]: CrossEntropyWithSoftmax = 2.26298828 * 2560; EvalClassificationError = 0.63125000 * 2560; time = 0.0201s; samplesPerSecond = 127553.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2171-2180]: CrossEntropyWithSoftmax = 2.29506836 * 2560; EvalClassificationError = 0.65273437 * 2560; time = 0.0201s; samplesPerSecond = 127382.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2181-2190]: CrossEntropyWithSoftmax = 2.24858398 * 2560; EvalClassificationError = 0.63281250 * 2560; time = 0.0200s; samplesPerSecond = 127929.6
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2191-2200]: CrossEntropyWithSoftmax = 2.21015625 * 2560; EvalClassificationError = 0.61953125 * 2560; time = 0.0201s; samplesPerSecond = 127350.5
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2201-2210]: CrossEntropyWithSoftmax = 2.24653320 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0199s; samplesPerSecond = 128353.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2211-2220]: CrossEntropyWithSoftmax = 2.24184570 * 2560; EvalClassificationError = 0.62773437 * 2560; time = 0.0203s; samplesPerSecond = 126040.1
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2221-2230]: CrossEntropyWithSoftmax = 2.23574219 * 2560; EvalClassificationError = 0.62304688 * 2560; time = 0.0201s; samplesPerSecond = 127636.2
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2231-2240]: CrossEntropyWithSoftmax = 2.22187500 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0201s; samplesPerSecond = 127661.7
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2241-2250]: CrossEntropyWithSoftmax = 2.23232422 * 2560; EvalClassificationError = 0.62421875 * 2560; time = 0.0200s; samplesPerSecond = 128000.0
11/24/2016 20:14:59:  Epoch[ 1 of 25]-Minibatch[2251-2260]: CrossEntropyWithSoftmax = 2.28652344 * 2560; EvalClassificationError = 0.64179688 * 2560; time = 0.0201s; samplesPerSecond = 127249.2
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2261-2270]: CrossEntropyWithSoftmax = 2.17080078 * 2560; EvalClassificationError = 0.62187500 * 2560; time = 0.0200s; samplesPerSecond = 127948.8
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2271-2280]: CrossEntropyWithSoftmax = 2.22187500 * 2560; EvalClassificationError = 0.64101562 * 2560; time = 0.0201s; samplesPerSecond = 127198.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2281-2290]: CrossEntropyWithSoftmax = 2.21313477 * 2560; EvalClassificationError = 0.61679688 * 2560; time = 0.0201s; samplesPerSecond = 127173.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2291-2300]: CrossEntropyWithSoftmax = 2.17792969 * 2560; EvalClassificationError = 0.61875000 * 2560; time = 0.0200s; samplesPerSecond = 127725.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2301-2310]: CrossEntropyWithSoftmax = 2.22250977 * 2560; EvalClassificationError = 0.61210937 * 2560; time = 0.0198s; samplesPerSecond = 129613.7
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2311-2320]: CrossEntropyWithSoftmax = 2.25302734 * 2560; EvalClassificationError = 0.62734375 * 2560; time = 0.0200s; samplesPerSecond = 128192.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2321-2330]: CrossEntropyWithSoftmax = 2.22451172 * 2560; EvalClassificationError = 0.62734375 * 2560; time = 0.0199s; samplesPerSecond = 128889.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2331-2340]: CrossEntropyWithSoftmax = 2.19526367 * 2560; EvalClassificationError = 0.61953125 * 2560; time = 0.0200s; samplesPerSecond = 128108.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2341-2350]: CrossEntropyWithSoftmax = 2.20502930 * 2560; EvalClassificationError = 0.61328125 * 2560; time = 0.0200s; samplesPerSecond = 127757.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2351-2360]: CrossEntropyWithSoftmax = 2.22163086 * 2560; EvalClassificationError = 0.62773437 * 2560; time = 0.0199s; samplesPerSecond = 128333.7
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2361-2370]: CrossEntropyWithSoftmax = 2.26625977 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0200s; samplesPerSecond = 127801.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2371-2380]: CrossEntropyWithSoftmax = 2.20610352 * 2560; EvalClassificationError = 0.62460938 * 2560; time = 0.0201s; samplesPerSecond = 127629.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2381-2390]: CrossEntropyWithSoftmax = 2.20957031 * 2560; EvalClassificationError = 0.62460938 * 2560; time = 0.0200s; samplesPerSecond = 127750.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2391-2400]: CrossEntropyWithSoftmax = 2.24399414 * 2560; EvalClassificationError = 0.62187500 * 2560; time = 0.0200s; samplesPerSecond = 128166.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2401-2410]: CrossEntropyWithSoftmax = 2.18886719 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0200s; samplesPerSecond = 128166.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2411-2420]: CrossEntropyWithSoftmax = 2.19023438 * 2560; EvalClassificationError = 0.62109375 * 2560; time = 0.0201s; samplesPerSecond = 127629.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2421-2430]: CrossEntropyWithSoftmax = 2.22045898 * 2560; EvalClassificationError = 0.62500000 * 2560; time = 0.0200s; samplesPerSecond = 127795.5
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2431-2440]: CrossEntropyWithSoftmax = 2.14272461 * 2560; EvalClassificationError = 0.61523438 * 2560; time = 0.0201s; samplesPerSecond = 127553.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2441-2450]: CrossEntropyWithSoftmax = 2.19775391 * 2560; EvalClassificationError = 0.62265625 * 2560; time = 0.0200s; samplesPerSecond = 128076.8
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2451-2460]: CrossEntropyWithSoftmax = 2.23530273 * 2560; EvalClassificationError = 0.61992187 * 2560; time = 0.0200s; samplesPerSecond = 128134.5
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2461-2470]: CrossEntropyWithSoftmax = 2.21025391 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0202s; samplesPerSecond = 126745.2
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2471-2480]: CrossEntropyWithSoftmax = 2.21611328 * 2560; EvalClassificationError = 0.61445313 * 2560; time = 0.0204s; samplesPerSecond = 125613.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2481-2490]: CrossEntropyWithSoftmax = 2.16801758 * 2560; EvalClassificationError = 0.61757812 * 2560; time = 0.0201s; samplesPerSecond = 127401.2
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2491-2500]: CrossEntropyWithSoftmax = 2.17299805 * 2560; EvalClassificationError = 0.61328125 * 2560; time = 0.0201s; samplesPerSecond = 127496.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2501-2510]: CrossEntropyWithSoftmax = 2.17304687 * 2560; EvalClassificationError = 0.62695312 * 2560; time = 0.0200s; samplesPerSecond = 128025.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2511-2520]: CrossEntropyWithSoftmax = 2.11489258 * 2560; EvalClassificationError = 0.60429687 * 2560; time = 0.0202s; samplesPerSecond = 126896.0
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2521-2530]: CrossEntropyWithSoftmax = 2.19130859 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0202s; samplesPerSecond = 126826.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2531-2540]: CrossEntropyWithSoftmax = 2.12451172 * 2560; EvalClassificationError = 0.59843750 * 2560; time = 0.0201s; samplesPerSecond = 127293.5
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2541-2550]: CrossEntropyWithSoftmax = 2.15224609 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0200s; samplesPerSecond = 128166.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2551-2560]: CrossEntropyWithSoftmax = 2.17724609 * 2560; EvalClassificationError = 0.60468750 * 2560; time = 0.0200s; samplesPerSecond = 128173.0
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2561-2570]: CrossEntropyWithSoftmax = 2.17460938 * 2560; EvalClassificationError = 0.60976562 * 2560; time = 0.0201s; samplesPerSecond = 127211.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2571-2580]: CrossEntropyWithSoftmax = 2.15869141 * 2560; EvalClassificationError = 0.60429687 * 2560; time = 0.0201s; samplesPerSecond = 127369.5
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2581-2590]: CrossEntropyWithSoftmax = 2.09956055 * 2560; EvalClassificationError = 0.60507813 * 2560; time = 0.0202s; samplesPerSecond = 126795.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2591-2600]: CrossEntropyWithSoftmax = 2.18959961 * 2560; EvalClassificationError = 0.62148437 * 2560; time = 0.0201s; samplesPerSecond = 127407.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2601-2610]: CrossEntropyWithSoftmax = 2.18637695 * 2560; EvalClassificationError = 0.61484375 * 2560; time = 0.0201s; samplesPerSecond = 127674.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2611-2620]: CrossEntropyWithSoftmax = 2.11240234 * 2560; EvalClassificationError = 0.60234375 * 2560; time = 0.0202s; samplesPerSecond = 126877.1
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2621-2630]: CrossEntropyWithSoftmax = 2.10800781 * 2560; EvalClassificationError = 0.60507813 * 2560; time = 0.0201s; samplesPerSecond = 127464.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2631-2640]: CrossEntropyWithSoftmax = 2.15146484 * 2560; EvalClassificationError = 0.61718750 * 2560; time = 0.0201s; samplesPerSecond = 127464.6
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2641-2650]: CrossEntropyWithSoftmax = 2.14643555 * 2560; EvalClassificationError = 0.61289063 * 2560; time = 0.0200s; samplesPerSecond = 128141.0
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2651-2660]: CrossEntropyWithSoftmax = 2.14741211 * 2560; EvalClassificationError = 0.60468750 * 2560; time = 0.0201s; samplesPerSecond = 127585.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2661-2670]: CrossEntropyWithSoftmax = 2.12285156 * 2560; EvalClassificationError = 0.61054688 * 2560; time = 0.0201s; samplesPerSecond = 127135.5
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2671-2680]: CrossEntropyWithSoftmax = 2.07114258 * 2560; EvalClassificationError = 0.58867187 * 2560; time = 0.0201s; samplesPerSecond = 127566.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2681-2690]: CrossEntropyWithSoftmax = 2.04331055 * 2560; EvalClassificationError = 0.58984375 * 2560; time = 0.0201s; samplesPerSecond = 127610.8
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2691-2700]: CrossEntropyWithSoftmax = 2.12006836 * 2560; EvalClassificationError = 0.60898438 * 2560; time = 0.0199s; samplesPerSecond = 128876.4
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2701-2710]: CrossEntropyWithSoftmax = 2.15361328 * 2560; EvalClassificationError = 0.60390625 * 2560; time = 0.0200s; samplesPerSecond = 128044.8
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2711-2720]: CrossEntropyWithSoftmax = 2.04472656 * 2560; EvalClassificationError = 0.58125000 * 2560; time = 0.0200s; samplesPerSecond = 127808.3
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2721-2730]: CrossEntropyWithSoftmax = 2.08964844 * 2560; EvalClassificationError = 0.60312500 * 2560; time = 0.0201s; samplesPerSecond = 127249.2
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2731-2740]: CrossEntropyWithSoftmax = 2.14331055 * 2560; EvalClassificationError = 0.59882813 * 2560; time = 0.0201s; samplesPerSecond = 127629.9
11/24/2016 20:15:00:  Epoch[ 1 of 25]-Minibatch[2741-2750]: CrossEntropyWithSoftmax = 2.10102539 * 2560; EvalClassificationError = 0.59414062 * 2560; time = 0.0200s; samplesPerSecond = 128070.4
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2751-2760]: CrossEntropyWithSoftmax = 2.16601562 * 2560; EvalClassificationError = 0.60390625 * 2560; time = 0.0202s; samplesPerSecond = 126770.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2761-2770]: CrossEntropyWithSoftmax = 2.07753906 * 2560; EvalClassificationError = 0.59414062 * 2560; time = 0.0200s; samplesPerSecond = 128057.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2771-2780]: CrossEntropyWithSoftmax = 2.06015625 * 2560; EvalClassificationError = 0.58906250 * 2560; time = 0.0201s; samplesPerSecond = 127464.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2781-2790]: CrossEntropyWithSoftmax = 2.11943359 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0200s; samplesPerSecond = 127929.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2791-2800]: CrossEntropyWithSoftmax = 2.11333008 * 2560; EvalClassificationError = 0.59296875 * 2560; time = 0.0199s; samplesPerSecond = 128546.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2801-2810]: CrossEntropyWithSoftmax = 2.10742188 * 2560; EvalClassificationError = 0.58984375 * 2560; time = 0.0201s; samplesPerSecond = 127072.4
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2811-2820]: CrossEntropyWithSoftmax = 2.06411133 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0199s; samplesPerSecond = 128688.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2821-2830]: CrossEntropyWithSoftmax = 2.12929688 * 2560; EvalClassificationError = 0.60195312 * 2560; time = 0.0199s; samplesPerSecond = 128649.7
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2831-2840]: CrossEntropyWithSoftmax = 2.10776367 * 2560; EvalClassificationError = 0.61835938 * 2560; time = 0.0199s; samplesPerSecond = 128436.7
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2841-2850]: CrossEntropyWithSoftmax = 2.09990234 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0198s; samplesPerSecond = 129443.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2851-2860]: CrossEntropyWithSoftmax = 2.12705078 * 2560; EvalClassificationError = 0.60664063 * 2560; time = 0.0200s; samplesPerSecond = 127872.1
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2861-2870]: CrossEntropyWithSoftmax = 2.13471680 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0201s; samplesPerSecond = 127426.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2871-2880]: CrossEntropyWithSoftmax = 2.16718750 * 2560; EvalClassificationError = 0.60546875 * 2560; time = 0.0202s; samplesPerSecond = 126582.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2881-2890]: CrossEntropyWithSoftmax = 2.04335938 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0200s; samplesPerSecond = 127808.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2891-2900]: CrossEntropyWithSoftmax = 2.04750977 * 2560; EvalClassificationError = 0.58281250 * 2560; time = 0.0200s; samplesPerSecond = 128295.1
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2901-2910]: CrossEntropyWithSoftmax = 2.07421875 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0201s; samplesPerSecond = 127312.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2911-2920]: CrossEntropyWithSoftmax = 2.06059570 * 2560; EvalClassificationError = 0.58671875 * 2560; time = 0.0201s; samplesPerSecond = 127337.8
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2921-2930]: CrossEntropyWithSoftmax = 2.03300781 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0201s; samplesPerSecond = 127528.1
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2931-2940]: CrossEntropyWithSoftmax = 2.11166992 * 2560; EvalClassificationError = 0.59921875 * 2560; time = 0.0201s; samplesPerSecond = 127217.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2941-2950]: CrossEntropyWithSoftmax = 2.03784180 * 2560; EvalClassificationError = 0.58671875 * 2560; time = 0.0199s; samplesPerSecond = 128837.4
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2951-2960]: CrossEntropyWithSoftmax = 2.07167969 * 2560; EvalClassificationError = 0.59765625 * 2560; time = 0.0201s; samplesPerSecond = 127566.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2961-2970]: CrossEntropyWithSoftmax = 2.08222656 * 2560; EvalClassificationError = 0.58242187 * 2560; time = 0.0201s; samplesPerSecond = 127547.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2971-2980]: CrossEntropyWithSoftmax = 2.09726562 * 2560; EvalClassificationError = 0.60234375 * 2560; time = 0.0202s; samplesPerSecond = 127028.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2981-2990]: CrossEntropyWithSoftmax = 2.11074219 * 2560; EvalClassificationError = 0.59648437 * 2560; time = 0.0200s; samplesPerSecond = 127929.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[2991-3000]: CrossEntropyWithSoftmax = 2.04160156 * 2560; EvalClassificationError = 0.58046875 * 2560; time = 0.0199s; samplesPerSecond = 128688.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3001-3010]: CrossEntropyWithSoftmax = 2.09511719 * 2560; EvalClassificationError = 0.59843750 * 2560; time = 0.0201s; samplesPerSecond = 127547.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3011-3020]: CrossEntropyWithSoftmax = 2.08398438 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0200s; samplesPerSecond = 128025.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3021-3030]: CrossEntropyWithSoftmax = 2.06054688 * 2560; EvalClassificationError = 0.58281250 * 2560; time = 0.0201s; samplesPerSecond = 127502.7
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3031-3040]: CrossEntropyWithSoftmax = 2.05195312 * 2560; EvalClassificationError = 0.58515625 * 2560; time = 0.0200s; samplesPerSecond = 127757.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3041-3050]: CrossEntropyWithSoftmax = 2.07812500 * 2560; EvalClassificationError = 0.58476562 * 2560; time = 0.0199s; samplesPerSecond = 128824.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3051-3060]: CrossEntropyWithSoftmax = 2.04833984 * 2560; EvalClassificationError = 0.60195312 * 2560; time = 0.0201s; samplesPerSecond = 127129.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3061-3070]: CrossEntropyWithSoftmax = 2.09609375 * 2560; EvalClassificationError = 0.59375000 * 2560; time = 0.0200s; samplesPerSecond = 127827.4
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3071-3080]: CrossEntropyWithSoftmax = 2.07294922 * 2560; EvalClassificationError = 0.58007812 * 2560; time = 0.0200s; samplesPerSecond = 127808.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3081-3090]: CrossEntropyWithSoftmax = 1.98027344 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0201s; samplesPerSecond = 127078.7
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3091-3100]: CrossEntropyWithSoftmax = 2.05517578 * 2560; EvalClassificationError = 0.59296875 * 2560; time = 0.0199s; samplesPerSecond = 128915.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3101-3110]: CrossEntropyWithSoftmax = 2.03857422 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0201s; samplesPerSecond = 127179.7
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3111-3120]: CrossEntropyWithSoftmax = 2.04472656 * 2560; EvalClassificationError = 0.59687500 * 2560; time = 0.0200s; samplesPerSecond = 127846.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3121-3130]: CrossEntropyWithSoftmax = 2.05312500 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0201s; samplesPerSecond = 127306.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3131-3140]: CrossEntropyWithSoftmax = 2.03496094 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0201s; samplesPerSecond = 127553.6
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3141-3150]: CrossEntropyWithSoftmax = 2.04687500 * 2560; EvalClassificationError = 0.58554688 * 2560; time = 0.0199s; samplesPerSecond = 128727.3
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3151-3160]: CrossEntropyWithSoftmax = 2.07861328 * 2560; EvalClassificationError = 0.58398438 * 2560; time = 0.0202s; samplesPerSecond = 126896.0
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3161-3170]: CrossEntropyWithSoftmax = 2.01064453 * 2560; EvalClassificationError = 0.56406250 * 2560; time = 0.0200s; samplesPerSecond = 127853.0
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3171-3180]: CrossEntropyWithSoftmax = 1.96015625 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0201s; samplesPerSecond = 127325.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3181-3190]: CrossEntropyWithSoftmax = 2.03876953 * 2560; EvalClassificationError = 0.58476562 * 2560; time = 0.0201s; samplesPerSecond = 127312.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3191-3200]: CrossEntropyWithSoftmax = 2.02783203 * 2560; EvalClassificationError = 0.57617188 * 2560; time = 0.0198s; samplesPerSecond = 129548.1
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3201-3210]: CrossEntropyWithSoftmax = 1.99482422 * 2560; EvalClassificationError = 0.56757813 * 2560; time = 0.0201s; samplesPerSecond = 127110.2
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3211-3220]: CrossEntropyWithSoftmax = 2.03222656 * 2560; EvalClassificationError = 0.58085937 * 2560; time = 0.0201s; samplesPerSecond = 127623.5
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3221-3230]: CrossEntropyWithSoftmax = 2.01005859 * 2560; EvalClassificationError = 0.57382813 * 2560; time = 0.0200s; samplesPerSecond = 128185.9
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3231-3240]: CrossEntropyWithSoftmax = 2.02656250 * 2560; EvalClassificationError = 0.57851562 * 2560; time = 0.0201s; samplesPerSecond = 127299.9
11/24/2016 20:15:01:  Epoch[ 1 of 25]-Minibatch[3241-3250]: CrossEntropyWithSoftmax = 2.05175781 * 2560; EvalClassificationError = 0.59570312 * 2560; time = 0.0200s; samplesPerSecond = 128160.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3251-3260]: CrossEntropyWithSoftmax = 2.03574219 * 2560; EvalClassificationError = 0.59257812 * 2560; time = 0.0201s; samplesPerSecond = 127344.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3261-3270]: CrossEntropyWithSoftmax = 2.06083984 * 2560; EvalClassificationError = 0.60312500 * 2560; time = 0.0201s; samplesPerSecond = 127610.8
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3271-3280]: CrossEntropyWithSoftmax = 1.99287109 * 2560; EvalClassificationError = 0.57851562 * 2560; time = 0.0201s; samplesPerSecond = 127129.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3281-3290]: CrossEntropyWithSoftmax = 2.03642578 * 2560; EvalClassificationError = 0.58046875 * 2560; time = 0.0200s; samplesPerSecond = 127955.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3291-3300]: CrossEntropyWithSoftmax = 2.05029297 * 2560; EvalClassificationError = 0.58007812 * 2560; time = 0.0199s; samplesPerSecond = 128928.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3301-3310]: CrossEntropyWithSoftmax = 2.07148437 * 2560; EvalClassificationError = 0.57812500 * 2560; time = 0.0200s; samplesPerSecond = 128064.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3311-3320]: CrossEntropyWithSoftmax = 1.99785156 * 2560; EvalClassificationError = 0.56523437 * 2560; time = 0.0199s; samplesPerSecond = 128785.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3321-3330]: CrossEntropyWithSoftmax = 2.02177734 * 2560; EvalClassificationError = 0.58632812 * 2560; time = 0.0200s; samplesPerSecond = 128153.8
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3331-3340]: CrossEntropyWithSoftmax = 1.98798828 * 2560; EvalClassificationError = 0.57890625 * 2560; time = 0.0200s; samplesPerSecond = 128307.9
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3341-3350]: CrossEntropyWithSoftmax = 1.98691406 * 2560; EvalClassificationError = 0.58164063 * 2560; time = 0.0197s; samplesPerSecond = 129982.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3351-3360]: CrossEntropyWithSoftmax = 1.99462891 * 2560; EvalClassificationError = 0.56835938 * 2560; time = 0.0199s; samplesPerSecond = 128501.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3361-3370]: CrossEntropyWithSoftmax = 2.02080078 * 2560; EvalClassificationError = 0.57890625 * 2560; time = 0.0199s; samplesPerSecond = 128863.4
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3371-3380]: CrossEntropyWithSoftmax = 1.98007812 * 2560; EvalClassificationError = 0.56875000 * 2560; time = 0.0199s; samplesPerSecond = 128630.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3381-3390]: CrossEntropyWithSoftmax = 1.99853516 * 2560; EvalClassificationError = 0.56367188 * 2560; time = 0.0198s; samplesPerSecond = 129110.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3391-3400]: CrossEntropyWithSoftmax = 2.03437500 * 2560; EvalClassificationError = 0.58593750 * 2560; time = 0.0197s; samplesPerSecond = 129969.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3401-3410]: CrossEntropyWithSoftmax = 1.92353516 * 2560; EvalClassificationError = 0.56171875 * 2560; time = 0.0200s; samplesPerSecond = 127865.7
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3411-3420]: CrossEntropyWithSoftmax = 2.00048828 * 2560; EvalClassificationError = 0.56953125 * 2560; time = 0.0199s; samplesPerSecond = 128869.9
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3421-3430]: CrossEntropyWithSoftmax = 1.97792969 * 2560; EvalClassificationError = 0.55898437 * 2560; time = 0.0199s; samplesPerSecond = 128818.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3431-3440]: CrossEntropyWithSoftmax = 2.01220703 * 2560; EvalClassificationError = 0.57460937 * 2560; time = 0.0199s; samplesPerSecond = 128895.8
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3441-3450]: CrossEntropyWithSoftmax = 2.00009766 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0197s; samplesPerSecond = 129870.1
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3451-3460]: CrossEntropyWithSoftmax = 1.98115234 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0199s; samplesPerSecond = 128578.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3461-3470]: CrossEntropyWithSoftmax = 1.98291016 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0199s; samplesPerSecond = 128960.8
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3471-3480]: CrossEntropyWithSoftmax = 1.96835937 * 2560; EvalClassificationError = 0.56601563 * 2560; time = 0.0199s; samplesPerSecond = 128785.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3481-3490]: CrossEntropyWithSoftmax = 2.00556641 * 2560; EvalClassificationError = 0.57382813 * 2560; time = 0.0199s; samplesPerSecond = 128915.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3491-3500]: CrossEntropyWithSoftmax = 1.95224609 * 2560; EvalClassificationError = 0.55273438 * 2560; time = 0.0199s; samplesPerSecond = 128630.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3501-3510]: CrossEntropyWithSoftmax = 1.97460938 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0198s; samplesPerSecond = 129574.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3511-3520]: CrossEntropyWithSoftmax = 1.98867188 * 2560; EvalClassificationError = 0.55820313 * 2560; time = 0.0199s; samplesPerSecond = 128443.1
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3521-3530]: CrossEntropyWithSoftmax = 2.00908203 * 2560; EvalClassificationError = 0.57148438 * 2560; time = 0.0199s; samplesPerSecond = 128792.1
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3531-3540]: CrossEntropyWithSoftmax = 1.93828125 * 2560; EvalClassificationError = 0.55703125 * 2560; time = 0.0199s; samplesPerSecond = 128779.1
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3541-3550]: CrossEntropyWithSoftmax = 2.03369141 * 2560; EvalClassificationError = 0.58632812 * 2560; time = 0.0199s; samplesPerSecond = 128895.8
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3551-3560]: CrossEntropyWithSoftmax = 1.98261719 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0198s; samplesPerSecond = 129149.4
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3561-3570]: CrossEntropyWithSoftmax = 1.94062500 * 2560; EvalClassificationError = 0.55429688 * 2560; time = 0.0199s; samplesPerSecond = 128662.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3571-3580]: CrossEntropyWithSoftmax = 1.93330078 * 2560; EvalClassificationError = 0.56953125 * 2560; time = 0.0199s; samplesPerSecond = 128591.5
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3581-3590]: CrossEntropyWithSoftmax = 1.99531250 * 2560; EvalClassificationError = 0.56484375 * 2560; time = 0.0199s; samplesPerSecond = 128591.5
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3591-3600]: CrossEntropyWithSoftmax = 1.92939453 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0198s; samplesPerSecond = 129201.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3601-3610]: CrossEntropyWithSoftmax = 2.01386719 * 2560; EvalClassificationError = 0.58125000 * 2560; time = 0.0197s; samplesPerSecond = 129659.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3611-3620]: CrossEntropyWithSoftmax = 1.92636719 * 2560; EvalClassificationError = 0.55664062 * 2560; time = 0.0199s; samplesPerSecond = 128398.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3621-3630]: CrossEntropyWithSoftmax = 1.97968750 * 2560; EvalClassificationError = 0.56406250 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3631-3640]: CrossEntropyWithSoftmax = 1.98378906 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0199s; samplesPerSecond = 128520.5
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3641-3650]: CrossEntropyWithSoftmax = 1.95117188 * 2560; EvalClassificationError = 0.56054688 * 2560; time = 0.0198s; samplesPerSecond = 128980.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3651-3660]: CrossEntropyWithSoftmax = 1.91367187 * 2560; EvalClassificationError = 0.55312500 * 2560; time = 0.0198s; samplesPerSecond = 129273.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3661-3670]: CrossEntropyWithSoftmax = 1.93222656 * 2560; EvalClassificationError = 0.56875000 * 2560; time = 0.0199s; samplesPerSecond = 128915.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3671-3680]: CrossEntropyWithSoftmax = 1.96425781 * 2560; EvalClassificationError = 0.55507812 * 2560; time = 0.0199s; samplesPerSecond = 128818.0
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3681-3690]: CrossEntropyWithSoftmax = 1.97607422 * 2560; EvalClassificationError = 0.57812500 * 2560; time = 0.0199s; samplesPerSecond = 128746.7
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3691-3700]: CrossEntropyWithSoftmax = 1.88613281 * 2560; EvalClassificationError = 0.54531250 * 2560; time = 0.0199s; samplesPerSecond = 128578.6
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3701-3710]: CrossEntropyWithSoftmax = 2.04335938 * 2560; EvalClassificationError = 0.59531250 * 2560; time = 0.0197s; samplesPerSecond = 130233.5
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3711-3720]: CrossEntropyWithSoftmax = 1.99658203 * 2560; EvalClassificationError = 0.56914062 * 2560; time = 0.0198s; samplesPerSecond = 129221.1
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3721-3730]: CrossEntropyWithSoftmax = 1.94013672 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0199s; samplesPerSecond = 128967.3
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3731-3740]: CrossEntropyWithSoftmax = 1.94492187 * 2560; EvalClassificationError = 0.55703125 * 2560; time = 0.0199s; samplesPerSecond = 128753.2
11/24/2016 20:15:02:  Epoch[ 1 of 25]-Minibatch[3741-3750]: CrossEntropyWithSoftmax = 1.89990234 * 2560; EvalClassificationError = 0.55195313 * 2560; time = 0.0198s; samplesPerSecond = 129006.2
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3751-3760]: CrossEntropyWithSoftmax = 1.95078125 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0196s; samplesPerSecond = 130525.7
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3761-3770]: CrossEntropyWithSoftmax = 1.95458984 * 2560; EvalClassificationError = 0.55781250 * 2560; time = 0.0198s; samplesPerSecond = 129221.1
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3771-3780]: CrossEntropyWithSoftmax = 1.92851562 * 2560; EvalClassificationError = 0.55664062 * 2560; time = 0.0199s; samplesPerSecond = 128533.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3781-3790]: CrossEntropyWithSoftmax = 1.98632812 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0201s; samplesPerSecond = 127642.6
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3791-3800]: CrossEntropyWithSoftmax = 1.98984375 * 2560; EvalClassificationError = 0.57226562 * 2560; time = 0.0199s; samplesPerSecond = 128501.2
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3801-3810]: CrossEntropyWithSoftmax = 1.96445312 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0198s; samplesPerSecond = 129273.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3811-3820]: CrossEntropyWithSoftmax = 1.96406250 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0202s; samplesPerSecond = 126563.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3821-3830]: CrossEntropyWithSoftmax = 1.93515625 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0198s; samplesPerSecond = 129025.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3831-3840]: CrossEntropyWithSoftmax = 1.92958984 * 2560; EvalClassificationError = 0.56054688 * 2560; time = 0.0200s; samplesPerSecond = 127827.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3841-3850]: CrossEntropyWithSoftmax = 1.95273437 * 2560; EvalClassificationError = 0.55546875 * 2560; time = 0.0200s; samplesPerSecond = 127993.6
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3851-3860]: CrossEntropyWithSoftmax = 1.93105469 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0197s; samplesPerSecond = 129850.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3861-3870]: CrossEntropyWithSoftmax = 1.91503906 * 2560; EvalClassificationError = 0.55937500 * 2560; time = 0.0200s; samplesPerSecond = 128006.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3871-3880]: CrossEntropyWithSoftmax = 1.90820312 * 2560; EvalClassificationError = 0.55351562 * 2560; time = 0.0199s; samplesPerSecond = 128346.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3881-3890]: CrossEntropyWithSoftmax = 1.93691406 * 2560; EvalClassificationError = 0.55507812 * 2560; time = 0.0199s; samplesPerSecond = 128623.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3891-3900]: CrossEntropyWithSoftmax = 1.93740234 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0199s; samplesPerSecond = 128798.6
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3901-3910]: CrossEntropyWithSoftmax = 1.99101562 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0197s; samplesPerSecond = 129751.6
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3911-3920]: CrossEntropyWithSoftmax = 1.94472656 * 2560; EvalClassificationError = 0.56640625 * 2560; time = 0.0199s; samplesPerSecond = 128578.6
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3921-3930]: CrossEntropyWithSoftmax = 1.91210938 * 2560; EvalClassificationError = 0.56484375 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3931-3940]: CrossEntropyWithSoftmax = 1.92392578 * 2560; EvalClassificationError = 0.55976563 * 2560; time = 0.0200s; samplesPerSecond = 128179.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3941-3950]: CrossEntropyWithSoftmax = 1.91240234 * 2560; EvalClassificationError = 0.54570312 * 2560; time = 0.0199s; samplesPerSecond = 128591.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3951-3960]: CrossEntropyWithSoftmax = 1.90849609 * 2560; EvalClassificationError = 0.54492188 * 2560; time = 0.0197s; samplesPerSecond = 130002.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3961-3970]: CrossEntropyWithSoftmax = 1.91562500 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0199s; samplesPerSecond = 128921.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3971-3980]: CrossEntropyWithSoftmax = 1.94785156 * 2560; EvalClassificationError = 0.55312500 * 2560; time = 0.0199s; samplesPerSecond = 128598.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3981-3990]: CrossEntropyWithSoftmax = 1.90478516 * 2560; EvalClassificationError = 0.54843750 * 2560; time = 0.0198s; samplesPerSecond = 129077.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[3991-4000]: CrossEntropyWithSoftmax = 1.92187500 * 2560; EvalClassificationError = 0.54882812 * 2560; time = 0.0199s; samplesPerSecond = 128707.9
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4001-4010]: CrossEntropyWithSoftmax = 1.95664062 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0197s; samplesPerSecond = 129778.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4011-4020]: CrossEntropyWithSoftmax = 1.89951172 * 2560; EvalClassificationError = 0.54765625 * 2560; time = 0.0199s; samplesPerSecond = 128404.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4021-4030]: CrossEntropyWithSoftmax = 1.89814453 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0200s; samplesPerSecond = 128275.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4031-4040]: CrossEntropyWithSoftmax = 1.92128906 * 2560; EvalClassificationError = 0.55859375 * 2560; time = 0.0199s; samplesPerSecond = 128520.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4041-4050]: CrossEntropyWithSoftmax = 1.92548828 * 2560; EvalClassificationError = 0.55820313 * 2560; time = 0.0199s; samplesPerSecond = 128954.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4051-4060]: CrossEntropyWithSoftmax = 1.90732422 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0196s; samplesPerSecond = 130439.2
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4061-4070]: CrossEntropyWithSoftmax = 1.95322266 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0198s; samplesPerSecond = 129097.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4071-4080]: CrossEntropyWithSoftmax = 1.90117187 * 2560; EvalClassificationError = 0.56289062 * 2560; time = 0.0199s; samplesPerSecond = 128688.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4081-4090]: CrossEntropyWithSoftmax = 1.87871094 * 2560; EvalClassificationError = 0.54296875 * 2560; time = 0.0199s; samplesPerSecond = 128863.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4091-4100]: CrossEntropyWithSoftmax = 1.88349609 * 2560; EvalClassificationError = 0.53554687 * 2560; time = 0.0199s; samplesPerSecond = 128850.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4101-4110]: CrossEntropyWithSoftmax = 1.87958984 * 2560; EvalClassificationError = 0.53984375 * 2560; time = 0.0198s; samplesPerSecond = 129456.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4111-4120]: CrossEntropyWithSoftmax = 1.92597656 * 2560; EvalClassificationError = 0.55546875 * 2560; time = 0.0199s; samplesPerSecond = 128941.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4121-4130]: CrossEntropyWithSoftmax = 1.89746094 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0199s; samplesPerSecond = 128630.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4131-4140]: CrossEntropyWithSoftmax = 1.88896484 * 2560; EvalClassificationError = 0.54765625 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4141-4150]: CrossEntropyWithSoftmax = 1.88906250 * 2560; EvalClassificationError = 0.54921875 * 2560; time = 0.0199s; samplesPerSecond = 128818.0
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4151-4160]: CrossEntropyWithSoftmax = 1.99111328 * 2560; EvalClassificationError = 0.56367188 * 2560; time = 0.0197s; samplesPerSecond = 129863.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4161-4170]: CrossEntropyWithSoftmax = 1.89814453 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0199s; samplesPerSecond = 128934.8
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4171-4180]: CrossEntropyWithSoftmax = 1.81826172 * 2560; EvalClassificationError = 0.53085938 * 2560; time = 0.0199s; samplesPerSecond = 128902.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4181-4190]: CrossEntropyWithSoftmax = 1.87949219 * 2560; EvalClassificationError = 0.53789062 * 2560; time = 0.0199s; samplesPerSecond = 128863.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4191-4200]: CrossEntropyWithSoftmax = 1.92109375 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0198s; samplesPerSecond = 129188.5
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4201-4210]: CrossEntropyWithSoftmax = 1.89462891 * 2560; EvalClassificationError = 0.55195313 * 2560; time = 0.0197s; samplesPerSecond = 129883.3
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4211-4220]: CrossEntropyWithSoftmax = 1.93388672 * 2560; EvalClassificationError = 0.56992188 * 2560; time = 0.0199s; samplesPerSecond = 128779.1
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4221-4230]: CrossEntropyWithSoftmax = 1.87373047 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0199s; samplesPerSecond = 128669.1
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4231-4240]: CrossEntropyWithSoftmax = 1.86308594 * 2560; EvalClassificationError = 0.52890625 * 2560; time = 0.0200s; samplesPerSecond = 128314.4
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4241-4250]: CrossEntropyWithSoftmax = 1.92080078 * 2560; EvalClassificationError = 0.53437500 * 2560; time = 0.0199s; samplesPerSecond = 128494.7
11/24/2016 20:15:03:  Epoch[ 1 of 25]-Minibatch[4251-4260]: CrossEntropyWithSoftmax = 1.88125000 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0197s; samplesPerSecond = 130273.3
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4261-4270]: CrossEntropyWithSoftmax = 1.91933594 * 2560; EvalClassificationError = 0.55390625 * 2560; time = 0.0198s; samplesPerSecond = 129123.4
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4271-4280]: CrossEntropyWithSoftmax = 1.86904297 * 2560; EvalClassificationError = 0.54140625 * 2560; time = 0.0199s; samplesPerSecond = 128947.8
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4281-4290]: CrossEntropyWithSoftmax = 1.94648438 * 2560; EvalClassificationError = 0.56562500 * 2560; time = 0.0199s; samplesPerSecond = 128559.2
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4291-4300]: CrossEntropyWithSoftmax = 1.88037109 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0199s; samplesPerSecond = 128928.3
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4301-4310]: CrossEntropyWithSoftmax = 1.87958984 * 2560; EvalClassificationError = 0.55078125 * 2560; time = 0.0198s; samplesPerSecond = 129580.9
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4311-4320]: CrossEntropyWithSoftmax = 1.89619141 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0198s; samplesPerSecond = 129260.3
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4321-4330]: CrossEntropyWithSoftmax = 1.85214844 * 2560; EvalClassificationError = 0.54531250 * 2560; time = 0.0199s; samplesPerSecond = 128682.0
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4331-4340]: CrossEntropyWithSoftmax = 1.86191406 * 2560; EvalClassificationError = 0.54375000 * 2560; time = 0.0199s; samplesPerSecond = 128565.7
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4341-4350]: CrossEntropyWithSoftmax = 1.88662109 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0199s; samplesPerSecond = 128869.9
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4351-4360]: CrossEntropyWithSoftmax = 1.84521484 * 2560; EvalClassificationError = 0.53476563 * 2560; time = 0.0198s; samplesPerSecond = 129266.8
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4361-4370]: CrossEntropyWithSoftmax = 1.84873047 * 2560; EvalClassificationError = 0.52929688 * 2560; time = 0.0200s; samplesPerSecond = 128320.8
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4371-4380]: CrossEntropyWithSoftmax = 1.85107422 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0201s; samplesPerSecond = 127566.3
11/24/2016 20:15:04:  Epoch[ 1 of 25]-Minibatch[4381-4390]: CrossEntropyWithSoftmax = 1.86181641 * 2560; EvalClassificationError = 0.54726562 * 2560; time = 0.0200s; samplesPerSecond = 128038.4
11/24/2016 20:15:04: Finished Epoch[ 1 of 25]: [Training] CrossEntropyWithSoftmax = 2.51173429 * 1124823; EvalClassificationError = 0.66498729 * 1124823; totalSamplesSeen = 1124823; learningRatePerSample = 0.003125; epochTime=8.83267s
11/24/2016 20:15:04: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.1'

11/24/2016 20:15:04: Starting Epoch 2: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 1: frames [1124823..2249646] (first utterance at frame 1124823), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:04: Starting minibatch loop.
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.87080917 * 10240; EvalClassificationError = 0.54541016 * 10240; time = 0.0560s; samplesPerSecond = 182883.3
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.85411835 * 10240; EvalClassificationError = 0.54160156 * 10240; time = 0.0486s; samplesPerSecond = 210847.1
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.82805862 * 10240; EvalClassificationError = 0.53447266 * 10240; time = 0.0486s; samplesPerSecond = 210509.0
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.85954895 * 10240; EvalClassificationError = 0.53925781 * 10240; time = 0.0484s; samplesPerSecond = 211539.7
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.86950989 * 10240; EvalClassificationError = 0.54326172 * 10240; time = 0.0486s; samplesPerSecond = 210513.3
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.87052841 * 10240; EvalClassificationError = 0.54140625 * 10240; time = 0.0486s; samplesPerSecond = 210651.9
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.83685074 * 10240; EvalClassificationError = 0.54140625 * 10240; time = 0.0487s; samplesPerSecond = 210374.9
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.85371094 * 10240; EvalClassificationError = 0.53906250 * 10240; time = 0.0484s; samplesPerSecond = 211574.6
11/24/2016 20:15:04:  Epoch[ 2 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.86963959 * 10240; EvalClassificationError = 0.55019531 * 10240; time = 0.0485s; samplesPerSecond = 211012.2
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.82793579 * 10240; EvalClassificationError = 0.53818359 * 10240; time = 0.0485s; samplesPerSecond = 211334.5
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.86454163 * 10240; EvalClassificationError = 0.54208984 * 10240; time = 0.0487s; samplesPerSecond = 210219.5
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.78533173 * 10240; EvalClassificationError = 0.52587891 * 10240; time = 0.0481s; samplesPerSecond = 212792.5
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.82439575 * 10240; EvalClassificationError = 0.52666016 * 10240; time = 0.0480s; samplesPerSecond = 213155.7
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.79557648 * 10240; EvalClassificationError = 0.52607422 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.80681152 * 10240; EvalClassificationError = 0.52626953 * 10240; time = 0.0482s; samplesPerSecond = 212298.4
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.82900391 * 10240; EvalClassificationError = 0.53593750 * 10240; time = 0.0483s; samplesPerSecond = 211911.8
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.81436157 * 10240; EvalClassificationError = 0.53017578 * 10240; time = 0.0484s; samplesPerSecond = 211356.3
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.79924011 * 10240; EvalClassificationError = 0.52695313 * 10240; time = 0.0482s; samplesPerSecond = 212377.6
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.80255127 * 10240; EvalClassificationError = 0.53281250 * 10240; time = 0.0485s; samplesPerSecond = 211068.7
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.80909729 * 10240; EvalClassificationError = 0.52724609 * 10240; time = 0.0485s; samplesPerSecond = 210929.6
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.80124207 * 10240; EvalClassificationError = 0.52412109 * 10240; time = 0.0486s; samplesPerSecond = 210708.3
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.77033691 * 10240; EvalClassificationError = 0.52109375 * 10240; time = 0.0485s; samplesPerSecond = 210981.8
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.80584412 * 10240; EvalClassificationError = 0.53183594 * 10240; time = 0.0488s; samplesPerSecond = 210051.3
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.78554077 * 10240; EvalClassificationError = 0.52587891 * 10240; time = 0.0486s; samplesPerSecond = 210647.6
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.77854309 * 10240; EvalClassificationError = 0.52412109 * 10240; time = 0.0484s; samplesPerSecond = 211775.9
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.77982788 * 10240; EvalClassificationError = 0.52353516 * 10240; time = 0.0483s; samplesPerSecond = 211977.6
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.80072021 * 10240; EvalClassificationError = 0.52265625 * 10240; time = 0.0487s; samplesPerSecond = 210349.0
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.78541870 * 10240; EvalClassificationError = 0.51962891 * 10240; time = 0.0485s; samplesPerSecond = 211303.9
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.80490723 * 10240; EvalClassificationError = 0.52832031 * 10240; time = 0.0484s; samplesPerSecond = 211461.0
11/24/2016 20:15:05:  Epoch[ 2 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.74177246 * 10240; EvalClassificationError = 0.51425781 * 10240; time = 0.0485s; samplesPerSecond = 211107.9
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.76959229 * 10240; EvalClassificationError = 0.52158203 * 10240; time = 0.0483s; samplesPerSecond = 212003.9
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.77478027 * 10240; EvalClassificationError = 0.52294922 * 10240; time = 0.0486s; samplesPerSecond = 210795.0
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.77638550 * 10240; EvalClassificationError = 0.52343750 * 10240; time = 0.0478s; samplesPerSecond = 214140.8
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.76176147 * 10240; EvalClassificationError = 0.51601562 * 10240; time = 0.0477s; samplesPerSecond = 214684.1
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.75238037 * 10240; EvalClassificationError = 0.51259766 * 10240; time = 0.0480s; samplesPerSecond = 213404.5
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.78269653 * 10240; EvalClassificationError = 0.52773437 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.76188965 * 10240; EvalClassificationError = 0.51328125 * 10240; time = 0.0484s; samplesPerSecond = 211583.4
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.76193237 * 10240; EvalClassificationError = 0.51484375 * 10240; time = 0.0484s; samplesPerSecond = 211408.6
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.73316650 * 10240; EvalClassificationError = 0.50888672 * 10240; time = 0.0485s; samplesPerSecond = 211195.0
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.77234497 * 10240; EvalClassificationError = 0.52324219 * 10240; time = 0.0487s; samplesPerSecond = 210279.9
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.75307617 * 10240; EvalClassificationError = 0.51865234 * 10240; time = 0.0483s; samplesPerSecond = 212021.5
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.73715210 * 10240; EvalClassificationError = 0.50957031 * 10240; time = 0.0484s; samplesPerSecond = 211373.7
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.73635864 * 10240; EvalClassificationError = 0.51191406 * 10240; time = 0.0483s; samplesPerSecond = 211793.4
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.75302734 * 10240; EvalClassificationError = 0.52119141 * 10240; time = 0.0485s; samplesPerSecond = 211317.0
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.72669067 * 10240; EvalClassificationError = 0.50615234 * 10240; time = 0.0485s; samplesPerSecond = 211299.6
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.72114868 * 10240; EvalClassificationError = 0.51113281 * 10240; time = 0.0485s; samplesPerSecond = 211112.3
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.71972656 * 10240; EvalClassificationError = 0.51757812 * 10240; time = 0.0482s; samplesPerSecond = 212320.4
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.70643311 * 10240; EvalClassificationError = 0.50888672 * 10240; time = 0.0486s; samplesPerSecond = 210695.3
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.71411743 * 10240; EvalClassificationError = 0.50732422 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.74951172 * 10240; EvalClassificationError = 0.51777344 * 10240; time = 0.0486s; samplesPerSecond = 210747.3
11/24/2016 20:15:06:  Epoch[ 2 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.70914917 * 10240; EvalClassificationError = 0.50244141 * 10240; time = 0.0484s; samplesPerSecond = 211395.5
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.74641113 * 10240; EvalClassificationError = 0.51943359 * 10240; time = 0.0484s; samplesPerSecond = 211592.1
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.70220337 * 10240; EvalClassificationError = 0.50869141 * 10240; time = 0.0481s; samplesPerSecond = 212730.6
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.70177612 * 10240; EvalClassificationError = 0.50302734 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.70757446 * 10240; EvalClassificationError = 0.50585938 * 10240; time = 0.0482s; samplesPerSecond = 212254.4
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.71336060 * 10240; EvalClassificationError = 0.50771484 * 10240; time = 0.0485s; samplesPerSecond = 211116.6
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.72432861 * 10240; EvalClassificationError = 0.51191406 * 10240; time = 0.0485s; samplesPerSecond = 211125.3
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.68609619 * 10240; EvalClassificationError = 0.50205078 * 10240; time = 0.0482s; samplesPerSecond = 212395.3
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.68066406 * 10240; EvalClassificationError = 0.50156250 * 10240; time = 0.0483s; samplesPerSecond = 211863.5
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.71406250 * 10240; EvalClassificationError = 0.50332031 * 10240; time = 0.0484s; samplesPerSecond = 211754.0
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.66672363 * 10240; EvalClassificationError = 0.50078125 * 10240; time = 0.0485s; samplesPerSecond = 211142.7
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.67359619 * 10240; EvalClassificationError = 0.49648437 * 10240; time = 0.0485s; samplesPerSecond = 211264.7
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.68144531 * 10240; EvalClassificationError = 0.50185547 * 10240; time = 0.0483s; samplesPerSecond = 211942.5
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.69470215 * 10240; EvalClassificationError = 0.49951172 * 10240; time = 0.0484s; samplesPerSecond = 211469.8
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.69550781 * 10240; EvalClassificationError = 0.50693359 * 10240; time = 0.0484s; samplesPerSecond = 211408.6
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.69071045 * 10240; EvalClassificationError = 0.50449219 * 10240; time = 0.0483s; samplesPerSecond = 212003.9
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.70854492 * 10240; EvalClassificationError = 0.50810547 * 10240; time = 0.0483s; samplesPerSecond = 211920.5
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.68135986 * 10240; EvalClassificationError = 0.50566406 * 10240; time = 0.0482s; samplesPerSecond = 212258.8
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.67413330 * 10240; EvalClassificationError = 0.49677734 * 10240; time = 0.0485s; samplesPerSecond = 211151.4
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.70518799 * 10240; EvalClassificationError = 0.51113281 * 10240; time = 0.0480s; samplesPerSecond = 213115.8
11/24/2016 20:15:07:  Epoch[ 2 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.70021973 * 10240; EvalClassificationError = 0.50136719 * 10240; time = 0.0484s; samplesPerSecond = 211439.2
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.66984863 * 10240; EvalClassificationError = 0.50253906 * 10240; time = 0.0483s; samplesPerSecond = 212003.9
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.65366211 * 10240; EvalClassificationError = 0.49492188 * 10240; time = 0.0486s; samplesPerSecond = 210855.8
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.63590088 * 10240; EvalClassificationError = 0.48359375 * 10240; time = 0.0479s; samplesPerSecond = 213868.0
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.65258789 * 10240; EvalClassificationError = 0.49453125 * 10240; time = 0.0476s; samplesPerSecond = 215112.5
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.66165771 * 10240; EvalClassificationError = 0.49267578 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.66201172 * 10240; EvalClassificationError = 0.49326172 * 10240; time = 0.0479s; samplesPerSecond = 213868.0
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.66759033 * 10240; EvalClassificationError = 0.49365234 * 10240; time = 0.0475s; samplesPerSecond = 215578.9
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.66092529 * 10240; EvalClassificationError = 0.49609375 * 10240; time = 0.0477s; samplesPerSecond = 214778.6
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.69354248 * 10240; EvalClassificationError = 0.50253906 * 10240; time = 0.0477s; samplesPerSecond = 214661.6
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.64429932 * 10240; EvalClassificationError = 0.49580078 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.63934326 * 10240; EvalClassificationError = 0.49316406 * 10240; time = 0.0478s; samplesPerSecond = 214042.3
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.65960693 * 10240; EvalClassificationError = 0.49697266 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.64992676 * 10240; EvalClassificationError = 0.48652344 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.63374023 * 10240; EvalClassificationError = 0.49091797 * 10240; time = 0.0479s; samplesPerSecond = 213747.5
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.65281982 * 10240; EvalClassificationError = 0.49052734 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.63104248 * 10240; EvalClassificationError = 0.48408203 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.64528809 * 10240; EvalClassificationError = 0.49365234 * 10240; time = 0.0478s; samplesPerSecond = 214423.3
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.65462646 * 10240; EvalClassificationError = 0.49316406 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.63771973 * 10240; EvalClassificationError = 0.49716797 * 10240; time = 0.0477s; samplesPerSecond = 214711.1
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.64873047 * 10240; EvalClassificationError = 0.49218750 * 10240; time = 0.0476s; samplesPerSecond = 215080.9
11/24/2016 20:15:08:  Epoch[ 2 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.62557373 * 10240; EvalClassificationError = 0.48632812 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.59788818 * 10240; EvalClassificationError = 0.48496094 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.64064941 * 10240; EvalClassificationError = 0.48554687 * 10240; time = 0.0481s; samplesPerSecond = 213044.8
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.65570068 * 10240; EvalClassificationError = 0.49570313 * 10240; time = 0.0480s; samplesPerSecond = 213400.0
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.63572998 * 10240; EvalClassificationError = 0.49404297 * 10240; time = 0.0479s; samplesPerSecond = 213979.7
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.64544678 * 10240; EvalClassificationError = 0.49218750 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.59571533 * 10240; EvalClassificationError = 0.47558594 * 10240; time = 0.0480s; samplesPerSecond = 213480.1
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.63305664 * 10240; EvalClassificationError = 0.48330078 * 10240; time = 0.0478s; samplesPerSecond = 214006.6
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.59940186 * 10240; EvalClassificationError = 0.47978516 * 10240; time = 0.0479s; samplesPerSecond = 213957.4
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.61253662 * 10240; EvalClassificationError = 0.47890625 * 10240; time = 0.0484s; samplesPerSecond = 211631.5
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.61354980 * 10240; EvalClassificationError = 0.48134766 * 10240; time = 0.0484s; samplesPerSecond = 211526.5
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.61715088 * 10240; EvalClassificationError = 0.48730469 * 10240; time = 0.0483s; samplesPerSecond = 212179.6
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.61676025 * 10240; EvalClassificationError = 0.48750000 * 10240; time = 0.0482s; samplesPerSecond = 212580.4
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.60224609 * 10240; EvalClassificationError = 0.47822266 * 10240; time = 0.0484s; samplesPerSecond = 211522.2
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.61368408 * 10240; EvalClassificationError = 0.48857422 * 10240; time = 0.0482s; samplesPerSecond = 212527.5
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.60842285 * 10240; EvalClassificationError = 0.48984375 * 10240; time = 0.0482s; samplesPerSecond = 212646.7
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.64792480 * 10240; EvalClassificationError = 0.49003906 * 10240; time = 0.0484s; samplesPerSecond = 211649.0
11/24/2016 20:15:09:  Epoch[ 2 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.64526367 * 10240; EvalClassificationError = 0.49003906 * 10240; time = 0.0484s; samplesPerSecond = 211539.7
11/24/2016 20:15:09: Finished Epoch[ 2 of 25]: [Training] CrossEntropyWithSoftmax = 1.71836147 * 1124823; EvalClassificationError = 0.50875115 * 1124823; totalSamplesSeen = 2249646; learningRatePerSample = 0.003125; epochTime=5.49087s
11/24/2016 20:15:09: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.2'

11/24/2016 20:15:09: Starting Epoch 3: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 2: frames [2249646..3374469] (first utterance at frame 2249646), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:10: Starting minibatch loop.
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.58340092 * 10240; EvalClassificationError = 0.47343750 * 10240; time = 0.0499s; samplesPerSecond = 205202.2
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.59035854 * 10240; EvalClassificationError = 0.47734375 * 10240; time = 0.0481s; samplesPerSecond = 212947.4
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.56607056 * 10240; EvalClassificationError = 0.47753906 * 10240; time = 0.0478s; samplesPerSecond = 214158.7
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.57959938 * 10240; EvalClassificationError = 0.47929688 * 10240; time = 0.0482s; samplesPerSecond = 212267.6
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.59701729 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0483s; samplesPerSecond = 212082.9
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.58479462 * 10240; EvalClassificationError = 0.48349609 * 10240; time = 0.0483s; samplesPerSecond = 212061.0
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.56971664 * 10240; EvalClassificationError = 0.48066406 * 10240; time = 0.0483s; samplesPerSecond = 211810.9
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.57250748 * 10240; EvalClassificationError = 0.47705078 * 10240; time = 0.0485s; samplesPerSecond = 210999.2
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.58591995 * 10240; EvalClassificationError = 0.47548828 * 10240; time = 0.0486s; samplesPerSecond = 210651.9
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.59177246 * 10240; EvalClassificationError = 0.47529297 * 10240; time = 0.0484s; samplesPerSecond = 211391.2
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.59887695 * 10240; EvalClassificationError = 0.48955078 * 10240; time = 0.0484s; samplesPerSecond = 211762.8
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.59298248 * 10240; EvalClassificationError = 0.47841797 * 10240; time = 0.0487s; samplesPerSecond = 210474.4
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.57116699 * 10240; EvalClassificationError = 0.47636719 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.59851532 * 10240; EvalClassificationError = 0.48720703 * 10240; time = 0.0484s; samplesPerSecond = 211697.1
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.53499603 * 10240; EvalClassificationError = 0.46435547 * 10240; time = 0.0485s; samplesPerSecond = 211181.9
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.58722382 * 10240; EvalClassificationError = 0.47558594 * 10240; time = 0.0484s; samplesPerSecond = 211487.2
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.57576599 * 10240; EvalClassificationError = 0.47753906 * 10240; time = 0.0482s; samplesPerSecond = 212399.7
11/24/2016 20:15:10:  Epoch[ 3 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.58305969 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0482s; samplesPerSecond = 212430.5
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.55499573 * 10240; EvalClassificationError = 0.47060547 * 10240; time = 0.0483s; samplesPerSecond = 212109.3
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.53370056 * 10240; EvalClassificationError = 0.46474609 * 10240; time = 0.0484s; samplesPerSecond = 211780.3
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.56981812 * 10240; EvalClassificationError = 0.47402344 * 10240; time = 0.0480s; samplesPerSecond = 213404.5
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.59979248 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.54044800 * 10240; EvalClassificationError = 0.46933594 * 10240; time = 0.0476s; samplesPerSecond = 214922.9
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.56610718 * 10240; EvalClassificationError = 0.46904297 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.54576111 * 10240; EvalClassificationError = 0.47636719 * 10240; time = 0.0479s; samplesPerSecond = 213627.1
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.54839783 * 10240; EvalClassificationError = 0.46220703 * 10240; time = 0.0479s; samplesPerSecond = 213783.2
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.56071777 * 10240; EvalClassificationError = 0.47490234 * 10240; time = 0.0477s; samplesPerSecond = 214508.7
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.55014343 * 10240; EvalClassificationError = 0.46943359 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.51734619 * 10240; EvalClassificationError = 0.45673828 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.52967529 * 10240; EvalClassificationError = 0.45917969 * 10240; time = 0.0480s; samplesPerSecond = 213213.4
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.53317566 * 10240; EvalClassificationError = 0.46699219 * 10240; time = 0.0484s; samplesPerSecond = 211561.5
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.54077759 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0485s; samplesPerSecond = 211321.4
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.51933594 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.54946289 * 10240; EvalClassificationError = 0.47294922 * 10240; time = 0.0483s; samplesPerSecond = 212012.7
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.57000122 * 10240; EvalClassificationError = 0.46953125 * 10240; time = 0.0483s; samplesPerSecond = 212061.0
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.53900146 * 10240; EvalClassificationError = 0.47011719 * 10240; time = 0.0483s; samplesPerSecond = 212109.3
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.57963867 * 10240; EvalClassificationError = 0.47617188 * 10240; time = 0.0482s; samplesPerSecond = 212351.2
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.55053711 * 10240; EvalClassificationError = 0.46835938 * 10240; time = 0.0482s; samplesPerSecond = 212302.8
11/24/2016 20:15:11:  Epoch[ 3 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.56354370 * 10240; EvalClassificationError = 0.46845703 * 10240; time = 0.0485s; samplesPerSecond = 211042.6
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.52522583 * 10240; EvalClassificationError = 0.45878906 * 10240; time = 0.0483s; samplesPerSecond = 212228.0
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.54268188 * 10240; EvalClassificationError = 0.46367188 * 10240; time = 0.0483s; samplesPerSecond = 212135.7
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.55119019 * 10240; EvalClassificationError = 0.46660156 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.54223633 * 10240; EvalClassificationError = 0.46572266 * 10240; time = 0.0475s; samplesPerSecond = 215370.4
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.54182129 * 10240; EvalClassificationError = 0.46777344 * 10240; time = 0.0478s; samplesPerSecond = 214333.6
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.57411499 * 10240; EvalClassificationError = 0.47626953 * 10240; time = 0.0476s; samplesPerSecond = 215080.9
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.53216553 * 10240; EvalClassificationError = 0.46376953 * 10240; time = 0.0477s; samplesPerSecond = 214670.6
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.52470703 * 10240; EvalClassificationError = 0.46123047 * 10240; time = 0.0477s; samplesPerSecond = 214801.1
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.52718506 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.50441284 * 10240; EvalClassificationError = 0.45888672 * 10240; time = 0.0477s; samplesPerSecond = 214517.6
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.54093628 * 10240; EvalClassificationError = 0.47363281 * 10240; time = 0.0475s; samplesPerSecond = 215420.2
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.52893677 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0476s; samplesPerSecond = 214963.5
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.50106812 * 10240; EvalClassificationError = 0.45751953 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.52561646 * 10240; EvalClassificationError = 0.46914062 * 10240; time = 0.0481s; samplesPerSecond = 212973.9
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.52164307 * 10240; EvalClassificationError = 0.45722656 * 10240; time = 0.0479s; samplesPerSecond = 213734.1
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.52805176 * 10240; EvalClassificationError = 0.46982422 * 10240; time = 0.0476s; samplesPerSecond = 214954.4
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.53937378 * 10240; EvalClassificationError = 0.46767578 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.52915039 * 10240; EvalClassificationError = 0.46660156 * 10240; time = 0.0481s; samplesPerSecond = 212898.7
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.49828491 * 10240; EvalClassificationError = 0.45556641 * 10240; time = 0.0482s; samplesPerSecond = 212236.8
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.52473755 * 10240; EvalClassificationError = 0.46757813 * 10240; time = 0.0482s; samplesPerSecond = 212598.1
11/24/2016 20:15:12:  Epoch[ 3 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.52908936 * 10240; EvalClassificationError = 0.46386719 * 10240; time = 0.0483s; samplesPerSecond = 212118.1
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.52870483 * 10240; EvalClassificationError = 0.47011719 * 10240; time = 0.0481s; samplesPerSecond = 212832.3
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.55184326 * 10240; EvalClassificationError = 0.47070312 * 10240; time = 0.0483s; samplesPerSecond = 212228.0
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.51380615 * 10240; EvalClassificationError = 0.45703125 * 10240; time = 0.0479s; samplesPerSecond = 213997.6
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.54506836 * 10240; EvalClassificationError = 0.46396484 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.51908569 * 10240; EvalClassificationError = 0.46201172 * 10240; time = 0.0478s; samplesPerSecond = 214405.4
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.51650391 * 10240; EvalClassificationError = 0.46269531 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.52427979 * 10240; EvalClassificationError = 0.46357422 * 10240; time = 0.0479s; samplesPerSecond = 213693.9
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.53388672 * 10240; EvalClassificationError = 0.46582031 * 10240; time = 0.0479s; samplesPerSecond = 213743.0
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.53427734 * 10240; EvalClassificationError = 0.46367188 * 10240; time = 0.0479s; samplesPerSecond = 213644.9
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.50927734 * 10240; EvalClassificationError = 0.45878906 * 10240; time = 0.0478s; samplesPerSecond = 214203.5
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.52375488 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.51799316 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.50981445 * 10240; EvalClassificationError = 0.46259766 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.51186523 * 10240; EvalClassificationError = 0.46035156 * 10240; time = 0.0479s; samplesPerSecond = 213988.7
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.51635742 * 10240; EvalClassificationError = 0.46386719 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.51614990 * 10240; EvalClassificationError = 0.45937500 * 10240; time = 0.0477s; samplesPerSecond = 214841.7
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.52603760 * 10240; EvalClassificationError = 0.45830078 * 10240; time = 0.0477s; samplesPerSecond = 214661.6
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.48659668 * 10240; EvalClassificationError = 0.45859375 * 10240; time = 0.0478s; samplesPerSecond = 214342.5
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.50397949 * 10240; EvalClassificationError = 0.45976563 * 10240; time = 0.0479s; samplesPerSecond = 213671.6
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.51024170 * 10240; EvalClassificationError = 0.45566406 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:15:13:  Epoch[ 3 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.49234619 * 10240; EvalClassificationError = 0.45097656 * 10240; time = 0.0482s; samplesPerSecond = 212364.4
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.50100098 * 10240; EvalClassificationError = 0.46171875 * 10240; time = 0.0477s; samplesPerSecond = 214558.1
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.49050293 * 10240; EvalClassificationError = 0.45683594 * 10240; time = 0.0477s; samplesPerSecond = 214774.1
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.52199707 * 10240; EvalClassificationError = 0.46855469 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.50833740 * 10240; EvalClassificationError = 0.45927734 * 10240; time = 0.0477s; samplesPerSecond = 214774.1
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.49958496 * 10240; EvalClassificationError = 0.46250000 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.49371338 * 10240; EvalClassificationError = 0.45214844 * 10240; time = 0.0482s; samplesPerSecond = 212606.9
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.48048096 * 10240; EvalClassificationError = 0.45351562 * 10240; time = 0.0481s; samplesPerSecond = 212686.4
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.47495117 * 10240; EvalClassificationError = 0.45576172 * 10240; time = 0.0480s; samplesPerSecond = 213484.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.49230957 * 10240; EvalClassificationError = 0.45771484 * 10240; time = 0.0484s; samplesPerSecond = 211360.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.48065186 * 10240; EvalClassificationError = 0.44980469 * 10240; time = 0.0485s; samplesPerSecond = 211168.9
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.48742676 * 10240; EvalClassificationError = 0.45244141 * 10240; time = 0.0484s; samplesPerSecond = 211609.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.51424561 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0482s; samplesPerSecond = 212263.2
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.49844971 * 10240; EvalClassificationError = 0.45888672 * 10240; time = 0.0484s; samplesPerSecond = 211461.0
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.51334229 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0487s; samplesPerSecond = 210405.2
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.50373535 * 10240; EvalClassificationError = 0.46181641 * 10240; time = 0.0484s; samplesPerSecond = 211679.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.50657959 * 10240; EvalClassificationError = 0.45566406 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.51496582 * 10240; EvalClassificationError = 0.46269531 * 10240; time = 0.0483s; samplesPerSecond = 212166.4
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.48491211 * 10240; EvalClassificationError = 0.45322266 * 10240; time = 0.0483s; samplesPerSecond = 212113.7
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.49389648 * 10240; EvalClassificationError = 0.45185547 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.47214355 * 10240; EvalClassificationError = 0.45078125 * 10240; time = 0.0482s; samplesPerSecond = 212245.6
11/24/2016 20:15:14:  Epoch[ 3 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.48314209 * 10240; EvalClassificationError = 0.44189453 * 10240; time = 0.0483s; samplesPerSecond = 212021.5
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.47309570 * 10240; EvalClassificationError = 0.45429687 * 10240; time = 0.0481s; samplesPerSecond = 212757.1
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.46632080 * 10240; EvalClassificationError = 0.44228516 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.49639893 * 10240; EvalClassificationError = 0.45908203 * 10240; time = 0.0479s; samplesPerSecond = 213591.4
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.49177246 * 10240; EvalClassificationError = 0.44941406 * 10240; time = 0.0481s; samplesPerSecond = 212996.1
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.47518311 * 10240; EvalClassificationError = 0.45087891 * 10240; time = 0.0481s; samplesPerSecond = 212938.5
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.47810059 * 10240; EvalClassificationError = 0.44921875 * 10240; time = 0.0484s; samplesPerSecond = 211762.8
11/24/2016 20:15:15:  Epoch[ 3 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.46059570 * 10240; EvalClassificationError = 0.44892578 * 10240; time = 0.0484s; samplesPerSecond = 211692.7
11/24/2016 20:15:15: Finished Epoch[ 3 of 25]: [Training] CrossEntropyWithSoftmax = 1.52993971 * 1124823; EvalClassificationError = 0.46462066 * 1124823; totalSamplesSeen = 3374469; learningRatePerSample = 0.003125; epochTime=5.46501s
11/24/2016 20:15:15: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.3'

11/24/2016 20:15:15: Starting Epoch 4: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 3: frames [3374469..4499292] (first utterance at frame 3374469), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:15: Starting minibatch loop.
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.46753588 * 10240; EvalClassificationError = 0.44482422 * 10240; time = 0.0508s; samplesPerSecond = 201765.4
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.43500547 * 10240; EvalClassificationError = 0.44599609 * 10240; time = 0.0484s; samplesPerSecond = 211574.6
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.50104332 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.46389656 * 10240; EvalClassificationError = 0.45302734 * 10240; time = 0.0484s; samplesPerSecond = 211365.0
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.47590866 * 10240; EvalClassificationError = 0.45048828 * 10240; time = 0.0483s; samplesPerSecond = 212030.2
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.47121353 * 10240; EvalClassificationError = 0.44775391 * 10240; time = 0.0484s; samplesPerSecond = 211710.2
11/24/2016 20:15:15:  Epoch[ 4 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.46373291 * 10240; EvalClassificationError = 0.45039062 * 10240; time = 0.0482s; samplesPerSecond = 212567.2
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.47583084 * 10240; EvalClassificationError = 0.45205078 * 10240; time = 0.0484s; samplesPerSecond = 211692.7
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.45895386 * 10240; EvalClassificationError = 0.44697266 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.44073029 * 10240; EvalClassificationError = 0.44091797 * 10240; time = 0.0481s; samplesPerSecond = 212682.0
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.43892822 * 10240; EvalClassificationError = 0.44316406 * 10240; time = 0.0478s; samplesPerSecond = 214015.5
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.44162598 * 10240; EvalClassificationError = 0.44394531 * 10240; time = 0.0480s; samplesPerSecond = 213271.1
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.42991943 * 10240; EvalClassificationError = 0.44316406 * 10240; time = 0.0483s; samplesPerSecond = 212126.9
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.45009918 * 10240; EvalClassificationError = 0.44951172 * 10240; time = 0.0482s; samplesPerSecond = 212470.2
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.47708893 * 10240; EvalClassificationError = 0.44707031 * 10240; time = 0.0478s; samplesPerSecond = 214042.3
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.47209015 * 10240; EvalClassificationError = 0.44970703 * 10240; time = 0.0486s; samplesPerSecond = 210834.1
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.48058014 * 10240; EvalClassificationError = 0.45166016 * 10240; time = 0.0484s; samplesPerSecond = 211504.7
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.44656372 * 10240; EvalClassificationError = 0.44248047 * 10240; time = 0.0482s; samplesPerSecond = 212324.8
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.46854553 * 10240; EvalClassificationError = 0.44824219 * 10240; time = 0.0482s; samplesPerSecond = 212333.6
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.44516296 * 10240; EvalClassificationError = 0.44375000 * 10240; time = 0.0484s; samplesPerSecond = 211697.1
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.46378784 * 10240; EvalClassificationError = 0.45097656 * 10240; time = 0.0485s; samplesPerSecond = 211134.0
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.45131226 * 10240; EvalClassificationError = 0.44423828 * 10240; time = 0.0483s; samplesPerSecond = 212175.2
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.42963867 * 10240; EvalClassificationError = 0.43759766 * 10240; time = 0.0485s; samplesPerSecond = 211330.1
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.43845520 * 10240; EvalClassificationError = 0.43925781 * 10240; time = 0.0482s; samplesPerSecond = 212364.4
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.44781799 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0482s; samplesPerSecond = 212386.4
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.43560486 * 10240; EvalClassificationError = 0.43730469 * 10240; time = 0.0484s; samplesPerSecond = 211662.1
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.44180603 * 10240; EvalClassificationError = 0.44335938 * 10240; time = 0.0484s; samplesPerSecond = 211758.4
11/24/2016 20:15:16:  Epoch[ 4 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.42886963 * 10240; EvalClassificationError = 0.43496094 * 10240; time = 0.0485s; samplesPerSecond = 211042.6
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.46052856 * 10240; EvalClassificationError = 0.44677734 * 10240; time = 0.0483s; samplesPerSecond = 212170.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.43403320 * 10240; EvalClassificationError = 0.44238281 * 10240; time = 0.0483s; samplesPerSecond = 211916.1
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.44909363 * 10240; EvalClassificationError = 0.45175781 * 10240; time = 0.0477s; samplesPerSecond = 214738.1
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.44457703 * 10240; EvalClassificationError = 0.43808594 * 10240; time = 0.0478s; samplesPerSecond = 214266.3
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.41885986 * 10240; EvalClassificationError = 0.43681641 * 10240; time = 0.0480s; samplesPerSecond = 213217.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.44123840 * 10240; EvalClassificationError = 0.44853516 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.43996887 * 10240; EvalClassificationError = 0.44589844 * 10240; time = 0.0487s; samplesPerSecond = 210478.7
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.44241943 * 10240; EvalClassificationError = 0.44658203 * 10240; time = 0.0484s; samplesPerSecond = 211692.7
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.42617798 * 10240; EvalClassificationError = 0.43623047 * 10240; time = 0.0484s; samplesPerSecond = 211426.1
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.45087280 * 10240; EvalClassificationError = 0.44560547 * 10240; time = 0.0482s; samplesPerSecond = 212518.7
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.42919922 * 10240; EvalClassificationError = 0.44091797 * 10240; time = 0.0482s; samplesPerSecond = 212298.4
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.45617065 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0483s; samplesPerSecond = 211806.6
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.45221558 * 10240; EvalClassificationError = 0.44921875 * 10240; time = 0.0484s; samplesPerSecond = 211565.9
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.40331421 * 10240; EvalClassificationError = 0.43369141 * 10240; time = 0.0484s; samplesPerSecond = 211469.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.41793213 * 10240; EvalClassificationError = 0.43828125 * 10240; time = 0.0487s; samplesPerSecond = 210431.1
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.43622437 * 10240; EvalClassificationError = 0.44541016 * 10240; time = 0.0482s; samplesPerSecond = 212576.0
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.40888062 * 10240; EvalClassificationError = 0.43144531 * 10240; time = 0.0483s; samplesPerSecond = 211854.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.43164062 * 10240; EvalClassificationError = 0.44267578 * 10240; time = 0.0482s; samplesPerSecond = 212267.6
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.43657837 * 10240; EvalClassificationError = 0.44570312 * 10240; time = 0.0485s; samplesPerSecond = 211155.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.48072510 * 10240; EvalClassificationError = 0.45351562 * 10240; time = 0.0484s; samplesPerSecond = 211762.8
11/24/2016 20:15:17:  Epoch[ 4 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.43620605 * 10240; EvalClassificationError = 0.44033203 * 10240; time = 0.0484s; samplesPerSecond = 211662.1
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.40113525 * 10240; EvalClassificationError = 0.43798828 * 10240; time = 0.0483s; samplesPerSecond = 211907.4
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.41509399 * 10240; EvalClassificationError = 0.44023438 * 10240; time = 0.0484s; samplesPerSecond = 211727.7
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.43070068 * 10240; EvalClassificationError = 0.43691406 * 10240; time = 0.0476s; samplesPerSecond = 215035.7
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.41268921 * 10240; EvalClassificationError = 0.43798828 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.42633057 * 10240; EvalClassificationError = 0.43759766 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.41810913 * 10240; EvalClassificationError = 0.43427734 * 10240; time = 0.0477s; samplesPerSecond = 214751.6
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.41132813 * 10240; EvalClassificationError = 0.44013672 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.44533691 * 10240; EvalClassificationError = 0.44433594 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.43714600 * 10240; EvalClassificationError = 0.44082031 * 10240; time = 0.0479s; samplesPerSecond = 213680.6
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.42601929 * 10240; EvalClassificationError = 0.43310547 * 10240; time = 0.0477s; samplesPerSecond = 214549.1
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.39274292 * 10240; EvalClassificationError = 0.43476562 * 10240; time = 0.0479s; samplesPerSecond = 213760.9
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.43494873 * 10240; EvalClassificationError = 0.44531250 * 10240; time = 0.0476s; samplesPerSecond = 215221.0
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.42048340 * 10240; EvalClassificationError = 0.43691406 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.41633911 * 10240; EvalClassificationError = 0.43359375 * 10240; time = 0.0477s; samplesPerSecond = 214868.7
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.41703491 * 10240; EvalClassificationError = 0.43818359 * 10240; time = 0.0478s; samplesPerSecond = 214091.6
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.42056885 * 10240; EvalClassificationError = 0.43642578 * 10240; time = 0.0478s; samplesPerSecond = 214432.3
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.44830933 * 10240; EvalClassificationError = 0.44960937 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.44291382 * 10240; EvalClassificationError = 0.44531250 * 10240; time = 0.0480s; samplesPerSecond = 213297.8
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.43601685 * 10240; EvalClassificationError = 0.43925781 * 10240; time = 0.0476s; samplesPerSecond = 215112.5
11/24/2016 20:15:18:  Epoch[ 4 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.44832153 * 10240; EvalClassificationError = 0.44150391 * 10240; time = 0.0477s; samplesPerSecond = 214765.1
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.41801758 * 10240; EvalClassificationError = 0.44501953 * 10240; time = 0.0476s; samplesPerSecond = 215279.8
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.42423706 * 10240; EvalClassificationError = 0.44462891 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.42798462 * 10240; EvalClassificationError = 0.43632813 * 10240; time = 0.0481s; samplesPerSecond = 212836.7
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.39119873 * 10240; EvalClassificationError = 0.42773438 * 10240; time = 0.0478s; samplesPerSecond = 214136.3
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.40792236 * 10240; EvalClassificationError = 0.43007812 * 10240; time = 0.0478s; samplesPerSecond = 214293.2
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.42238770 * 10240; EvalClassificationError = 0.43613281 * 10240; time = 0.0479s; samplesPerSecond = 213993.1
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.41942139 * 10240; EvalClassificationError = 0.43349609 * 10240; time = 0.0481s; samplesPerSecond = 213018.2
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.42006836 * 10240; EvalClassificationError = 0.43886719 * 10240; time = 0.0477s; samplesPerSecond = 214855.2
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.42760010 * 10240; EvalClassificationError = 0.43789062 * 10240; time = 0.0482s; samplesPerSecond = 212554.0
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.41542969 * 10240; EvalClassificationError = 0.43535156 * 10240; time = 0.0484s; samplesPerSecond = 211452.3
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.40704346 * 10240; EvalClassificationError = 0.43457031 * 10240; time = 0.0482s; samplesPerSecond = 212501.0
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.41054688 * 10240; EvalClassificationError = 0.43369141 * 10240; time = 0.0483s; samplesPerSecond = 211863.5
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.40606689 * 10240; EvalClassificationError = 0.42988281 * 10240; time = 0.0482s; samplesPerSecond = 212554.0
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.41278076 * 10240; EvalClassificationError = 0.43017578 * 10240; time = 0.0483s; samplesPerSecond = 212008.3
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.41398926 * 10240; EvalClassificationError = 0.43476562 * 10240; time = 0.0486s; samplesPerSecond = 210847.1
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.42814941 * 10240; EvalClassificationError = 0.44003906 * 10240; time = 0.0484s; samplesPerSecond = 211382.4
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.45415039 * 10240; EvalClassificationError = 0.44521484 * 10240; time = 0.0482s; samplesPerSecond = 212276.4
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.39675293 * 10240; EvalClassificationError = 0.42695312 * 10240; time = 0.0483s; samplesPerSecond = 212126.9
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.41441650 * 10240; EvalClassificationError = 0.43671875 * 10240; time = 0.0481s; samplesPerSecond = 212938.5
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.40488281 * 10240; EvalClassificationError = 0.43779297 * 10240; time = 0.0485s; samplesPerSecond = 211282.1
11/24/2016 20:15:19:  Epoch[ 4 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.42299805 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.38687744 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0487s; samplesPerSecond = 210470.1
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.38105469 * 10240; EvalClassificationError = 0.42548828 * 10240; time = 0.0482s; samplesPerSecond = 212518.7
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.40173340 * 10240; EvalClassificationError = 0.43085937 * 10240; time = 0.0481s; samplesPerSecond = 213049.3
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.40972900 * 10240; EvalClassificationError = 0.42861328 * 10240; time = 0.0475s; samplesPerSecond = 215393.0
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.37757568 * 10240; EvalClassificationError = 0.42265625 * 10240; time = 0.0476s; samplesPerSecond = 214909.3
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.38643799 * 10240; EvalClassificationError = 0.42792969 * 10240; time = 0.0477s; samplesPerSecond = 214616.6
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.40734863 * 10240; EvalClassificationError = 0.43427734 * 10240; time = 0.0476s; samplesPerSecond = 215058.3
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.40645752 * 10240; EvalClassificationError = 0.43300781 * 10240; time = 0.0478s; samplesPerSecond = 214208.0
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.39410400 * 10240; EvalClassificationError = 0.43750000 * 10240; time = 0.0478s; samplesPerSecond = 214109.5
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.40441895 * 10240; EvalClassificationError = 0.42949219 * 10240; time = 0.0478s; samplesPerSecond = 214270.8
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.40203857 * 10240; EvalClassificationError = 0.42529297 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.40410156 * 10240; EvalClassificationError = 0.43818359 * 10240; time = 0.0481s; samplesPerSecond = 212965.1
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.41491699 * 10240; EvalClassificationError = 0.43574219 * 10240; time = 0.0480s; samplesPerSecond = 213342.2
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.37197266 * 10240; EvalClassificationError = 0.42089844 * 10240; time = 0.0479s; samplesPerSecond = 213725.2
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.40622559 * 10240; EvalClassificationError = 0.43056641 * 10240; time = 0.0480s; samplesPerSecond = 213240.0
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.38341064 * 10240; EvalClassificationError = 0.42919922 * 10240; time = 0.0479s; samplesPerSecond = 213863.5
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.39171143 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0476s; samplesPerSecond = 215022.2
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.37885742 * 10240; EvalClassificationError = 0.42871094 * 10240; time = 0.0479s; samplesPerSecond = 213881.4
11/24/2016 20:15:20:  Epoch[ 4 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.37547607 * 10240; EvalClassificationError = 0.43066406 * 10240; time = 0.0477s; samplesPerSecond = 214508.7
11/24/2016 20:15:20: Finished Epoch[ 4 of 25]: [Training] CrossEntropyWithSoftmax = 1.42796444 * 1124823; EvalClassificationError = 0.43943269 * 1124823; totalSamplesSeen = 4499292; learningRatePerSample = 0.003125; epochTime=5.47014s
11/24/2016 20:15:20: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.4'

11/24/2016 20:15:20: Starting Epoch 5: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 4: frames [4499292..5624115] (first utterance at frame 4499292), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:21: Starting minibatch loop.
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.35824890 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0499s; samplesPerSecond = 205292.7
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.41593475 * 10240; EvalClassificationError = 0.43593750 * 10240; time = 0.0478s; samplesPerSecond = 214293.2
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.37350845 * 10240; EvalClassificationError = 0.42431641 * 10240; time = 0.0476s; samplesPerSecond = 215004.1
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.39748840 * 10240; EvalClassificationError = 0.43271484 * 10240; time = 0.0479s; samplesPerSecond = 213890.3
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.39132690 * 10240; EvalClassificationError = 0.43056641 * 10240; time = 0.0478s; samplesPerSecond = 214145.3
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.36961746 * 10240; EvalClassificationError = 0.42246094 * 10240; time = 0.0477s; samplesPerSecond = 214774.1
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.37131271 * 10240; EvalClassificationError = 0.42763672 * 10240; time = 0.0477s; samplesPerSecond = 214468.2
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.37797928 * 10240; EvalClassificationError = 0.42978516 * 10240; time = 0.0481s; samplesPerSecond = 213089.2
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.37298508 * 10240; EvalClassificationError = 0.42558594 * 10240; time = 0.0480s; samplesPerSecond = 213471.2
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.37026901 * 10240; EvalClassificationError = 0.42246094 * 10240; time = 0.0477s; samplesPerSecond = 214702.1
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.37343445 * 10240; EvalClassificationError = 0.42773438 * 10240; time = 0.0476s; samplesPerSecond = 214949.9
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.38656616 * 10240; EvalClassificationError = 0.42714844 * 10240; time = 0.0476s; samplesPerSecond = 215288.9
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.34427948 * 10240; EvalClassificationError = 0.42158203 * 10240; time = 0.0476s; samplesPerSecond = 215117.0
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.38793488 * 10240; EvalClassificationError = 0.43154297 * 10240; time = 0.0476s; samplesPerSecond = 215035.7
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.37241821 * 10240; EvalClassificationError = 0.42939453 * 10240; time = 0.0477s; samplesPerSecond = 214850.7
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.37007294 * 10240; EvalClassificationError = 0.42421875 * 10240; time = 0.0477s; samplesPerSecond = 214490.7
11/24/2016 20:15:21:  Epoch[ 5 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.36491241 * 10240; EvalClassificationError = 0.41835937 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.36803741 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.36040955 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0476s; samplesPerSecond = 215189.3
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.36965332 * 10240; EvalClassificationError = 0.42998047 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.40101013 * 10240; EvalClassificationError = 0.43125000 * 10240; time = 0.0479s; samplesPerSecond = 213979.7
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.36048279 * 10240; EvalClassificationError = 0.42480469 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.37379761 * 10240; EvalClassificationError = 0.43232422 * 10240; time = 0.0475s; samplesPerSecond = 215433.8
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.39001465 * 10240; EvalClassificationError = 0.43642578 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.36842346 * 10240; EvalClassificationError = 0.42714844 * 10240; time = 0.0475s; samplesPerSecond = 215402.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.36590271 * 10240; EvalClassificationError = 0.43115234 * 10240; time = 0.0477s; samplesPerSecond = 214594.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.33771362 * 10240; EvalClassificationError = 0.41767578 * 10240; time = 0.0476s; samplesPerSecond = 215144.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.39433899 * 10240; EvalClassificationError = 0.42890625 * 10240; time = 0.0478s; samplesPerSecond = 214342.5
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.36509094 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.38058167 * 10240; EvalClassificationError = 0.42089844 * 10240; time = 0.0478s; samplesPerSecond = 214315.6
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.37791748 * 10240; EvalClassificationError = 0.42451172 * 10240; time = 0.0475s; samplesPerSecond = 215451.9
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.36184692 * 10240; EvalClassificationError = 0.42324219 * 10240; time = 0.0477s; samplesPerSecond = 214612.1
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.38350830 * 10240; EvalClassificationError = 0.42929688 * 10240; time = 0.0477s; samplesPerSecond = 214589.6
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.37052612 * 10240; EvalClassificationError = 0.42343750 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.36412048 * 10240; EvalClassificationError = 0.41845703 * 10240; time = 0.0476s; samplesPerSecond = 215035.7
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.36768799 * 10240; EvalClassificationError = 0.41875000 * 10240; time = 0.0478s; samplesPerSecond = 214373.9
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.34116516 * 10240; EvalClassificationError = 0.41503906 * 10240; time = 0.0479s; samplesPerSecond = 213720.7
11/24/2016 20:15:22:  Epoch[ 5 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.36721191 * 10240; EvalClassificationError = 0.42636719 * 10240; time = 0.0475s; samplesPerSecond = 215456.5
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.37750244 * 10240; EvalClassificationError = 0.42617187 * 10240; time = 0.0478s; samplesPerSecond = 214266.3
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.34101563 * 10240; EvalClassificationError = 0.42070313 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.36128540 * 10240; EvalClassificationError = 0.41513672 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.34988403 * 10240; EvalClassificationError = 0.41826172 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.35913086 * 10240; EvalClassificationError = 0.42255859 * 10240; time = 0.0475s; samplesPerSecond = 215520.0
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.35456543 * 10240; EvalClassificationError = 0.42255859 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.37182617 * 10240; EvalClassificationError = 0.42294922 * 10240; time = 0.0477s; samplesPerSecond = 214832.7
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.35851440 * 10240; EvalClassificationError = 0.42324219 * 10240; time = 0.0476s; samplesPerSecond = 215062.8
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.36624756 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0477s; samplesPerSecond = 214517.6
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.36320190 * 10240; EvalClassificationError = 0.42509766 * 10240; time = 0.0477s; samplesPerSecond = 214787.6
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.36494751 * 10240; EvalClassificationError = 0.42490234 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.35858154 * 10240; EvalClassificationError = 0.42675781 * 10240; time = 0.0477s; samplesPerSecond = 214576.1
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.33812866 * 10240; EvalClassificationError = 0.41992188 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.33821411 * 10240; EvalClassificationError = 0.41718750 * 10240; time = 0.0476s; samplesPerSecond = 215117.0
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.37069702 * 10240; EvalClassificationError = 0.42578125 * 10240; time = 0.0477s; samplesPerSecond = 214769.6
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.34808960 * 10240; EvalClassificationError = 0.41748047 * 10240; time = 0.0478s; samplesPerSecond = 214257.3
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.33764648 * 10240; EvalClassificationError = 0.41660156 * 10240; time = 0.0476s; samplesPerSecond = 215013.1
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.34720459 * 10240; EvalClassificationError = 0.41904297 * 10240; time = 0.0478s; samplesPerSecond = 214203.5
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.33874512 * 10240; EvalClassificationError = 0.41552734 * 10240; time = 0.0480s; samplesPerSecond = 213226.7
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.35412598 * 10240; EvalClassificationError = 0.42119141 * 10240; time = 0.0482s; samplesPerSecond = 212496.6
11/24/2016 20:15:23:  Epoch[ 5 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.36112671 * 10240; EvalClassificationError = 0.42285156 * 10240; time = 0.0482s; samplesPerSecond = 212430.5
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.36458740 * 10240; EvalClassificationError = 0.42060547 * 10240; time = 0.0481s; samplesPerSecond = 212947.4
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.36942139 * 10240; EvalClassificationError = 0.43037109 * 10240; time = 0.0481s; samplesPerSecond = 212721.8
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.35675049 * 10240; EvalClassificationError = 0.41386719 * 10240; time = 0.0477s; samplesPerSecond = 214688.6
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.37567139 * 10240; EvalClassificationError = 0.42919922 * 10240; time = 0.0476s; samplesPerSecond = 215098.9
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.35989380 * 10240; EvalClassificationError = 0.41582031 * 10240; time = 0.0480s; samplesPerSecond = 213551.3
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.37581787 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0481s; samplesPerSecond = 212845.6
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.33723755 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0479s; samplesPerSecond = 213827.8
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.34508057 * 10240; EvalClassificationError = 0.41806641 * 10240; time = 0.0477s; samplesPerSecond = 214675.1
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.36702881 * 10240; EvalClassificationError = 0.42187500 * 10240; time = 0.0484s; samplesPerSecond = 211714.6
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.36667480 * 10240; EvalClassificationError = 0.42060547 * 10240; time = 0.0484s; samplesPerSecond = 211544.0
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.35534668 * 10240; EvalClassificationError = 0.42333984 * 10240; time = 0.0486s; samplesPerSecond = 210764.6
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.36252441 * 10240; EvalClassificationError = 0.42500000 * 10240; time = 0.0482s; samplesPerSecond = 212382.0
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.36603394 * 10240; EvalClassificationError = 0.42861328 * 10240; time = 0.0483s; samplesPerSecond = 211938.1
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.38221436 * 10240; EvalClassificationError = 0.42734375 * 10240; time = 0.0486s; samplesPerSecond = 210786.3
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.35166626 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0484s; samplesPerSecond = 211684.0
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.31782227 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0483s; samplesPerSecond = 211885.4
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.30414429 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0485s; samplesPerSecond = 211107.9
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.35915527 * 10240; EvalClassificationError = 0.41855469 * 10240; time = 0.0482s; samplesPerSecond = 212417.3
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.36478271 * 10240; EvalClassificationError = 0.42841797 * 10240; time = 0.0482s; samplesPerSecond = 212474.6
11/24/2016 20:15:24:  Epoch[ 5 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.32736816 * 10240; EvalClassificationError = 0.41005859 * 10240; time = 0.0483s; samplesPerSecond = 211885.4
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.35151367 * 10240; EvalClassificationError = 0.42382812 * 10240; time = 0.0483s; samplesPerSecond = 212087.3
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.33717041 * 10240; EvalClassificationError = 0.41718750 * 10240; time = 0.0481s; samplesPerSecond = 212850.0
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.36014404 * 10240; EvalClassificationError = 0.42373047 * 10240; time = 0.0480s; samplesPerSecond = 213529.1
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.34600830 * 10240; EvalClassificationError = 0.42304687 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.35139160 * 10240; EvalClassificationError = 0.42109375 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.36275635 * 10240; EvalClassificationError = 0.42197266 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.35622559 * 10240; EvalClassificationError = 0.42626953 * 10240; time = 0.0476s; samplesPerSecond = 215320.6
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.35358887 * 10240; EvalClassificationError = 0.41923828 * 10240; time = 0.0478s; samplesPerSecond = 214163.2
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.35466309 * 10240; EvalClassificationError = 0.42031250 * 10240; time = 0.0477s; samplesPerSecond = 214792.1
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.34829102 * 10240; EvalClassificationError = 0.41865234 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.33566895 * 10240; EvalClassificationError = 0.42041016 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.34069824 * 10240; EvalClassificationError = 0.41503906 * 10240; time = 0.0484s; samplesPerSecond = 211679.6
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.35130615 * 10240; EvalClassificationError = 0.42041016 * 10240; time = 0.0481s; samplesPerSecond = 212801.3
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.32602539 * 10240; EvalClassificationError = 0.41279297 * 10240; time = 0.0481s; samplesPerSecond = 212704.1
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.31535645 * 10240; EvalClassificationError = 0.41171875 * 10240; time = 0.0480s; samplesPerSecond = 213253.4
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.31878662 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0482s; samplesPerSecond = 212360.0
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.33789062 * 10240; EvalClassificationError = 0.42138672 * 10240; time = 0.0485s; samplesPerSecond = 210960.0
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.34450684 * 10240; EvalClassificationError = 0.42119141 * 10240; time = 0.0483s; samplesPerSecond = 212030.2
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.31536865 * 10240; EvalClassificationError = 0.41074219 * 10240; time = 0.0482s; samplesPerSecond = 212289.6
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.33576660 * 10240; EvalClassificationError = 0.41708984 * 10240; time = 0.0484s; samplesPerSecond = 211579.0
11/24/2016 20:15:25:  Epoch[ 5 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.31687012 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0482s; samplesPerSecond = 212232.4
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.34958496 * 10240; EvalClassificationError = 0.42568359 * 10240; time = 0.0484s; samplesPerSecond = 211439.2
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.35847168 * 10240; EvalClassificationError = 0.42656250 * 10240; time = 0.0483s; samplesPerSecond = 212170.8
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.34775391 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0480s; samplesPerSecond = 213124.6
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.34313965 * 10240; EvalClassificationError = 0.40957031 * 10240; time = 0.0478s; samplesPerSecond = 214279.7
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.34006348 * 10240; EvalClassificationError = 0.42050781 * 10240; time = 0.0484s; samplesPerSecond = 211649.0
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.34218750 * 10240; EvalClassificationError = 0.41201172 * 10240; time = 0.0477s; samplesPerSecond = 214481.7
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.33210449 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0478s; samplesPerSecond = 214087.1
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.35166016 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0478s; samplesPerSecond = 214073.7
11/24/2016 20:15:26:  Epoch[ 5 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.34699707 * 10240; EvalClassificationError = 0.42421875 * 10240; time = 0.0477s; samplesPerSecond = 214495.2
11/24/2016 20:15:26: Finished Epoch[ 5 of 25]: [Training] CrossEntropyWithSoftmax = 1.35772828 * 1124823; EvalClassificationError = 0.42185926 * 1124823; totalSamplesSeen = 5624115; learningRatePerSample = 0.003125; epochTime=5.44535s
11/24/2016 20:15:26: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.5'

11/24/2016 20:15:26: Starting Epoch 6: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 5: frames [5624115..6748938] (first utterance at frame 5624115), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:26: Starting minibatch loop.
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.32016392 * 10240; EvalClassificationError = 0.41416016 * 10240; time = 0.0501s; samplesPerSecond = 204195.6
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.32858658 * 10240; EvalClassificationError = 0.41298828 * 10240; time = 0.0476s; samplesPerSecond = 215094.4
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.33911114 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0477s; samplesPerSecond = 214670.6
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.32078171 * 10240; EvalClassificationError = 0.40869141 * 10240; time = 0.0480s; samplesPerSecond = 213435.6
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.29483337 * 10240; EvalClassificationError = 0.40234375 * 10240; time = 0.0476s; samplesPerSecond = 214927.4
11/24/2016 20:15:26:  Epoch[ 6 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.29371948 * 10240; EvalClassificationError = 0.40517578 * 10240; time = 0.0479s; samplesPerSecond = 213667.2
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.31877594 * 10240; EvalClassificationError = 0.41123047 * 10240; time = 0.0479s; samplesPerSecond = 213631.5
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.33370361 * 10240; EvalClassificationError = 0.41367188 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.31933517 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0477s; samplesPerSecond = 214868.7
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.30916443 * 10240; EvalClassificationError = 0.41289063 * 10240; time = 0.0476s; samplesPerSecond = 214972.5
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.32587280 * 10240; EvalClassificationError = 0.41484375 * 10240; time = 0.0478s; samplesPerSecond = 214069.2
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.32110291 * 10240; EvalClassificationError = 0.41191406 * 10240; time = 0.0476s; samplesPerSecond = 215017.6
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.31300507 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0479s; samplesPerSecond = 213845.7
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.29327545 * 10240; EvalClassificationError = 0.40537109 * 10240; time = 0.0477s; samplesPerSecond = 214535.6
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.29545288 * 10240; EvalClassificationError = 0.41074219 * 10240; time = 0.0476s; samplesPerSecond = 215053.8
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.31327209 * 10240; EvalClassificationError = 0.41494141 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.31387024 * 10240; EvalClassificationError = 0.40478516 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.32461395 * 10240; EvalClassificationError = 0.41552734 * 10240; time = 0.0476s; samplesPerSecond = 214949.9
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.31070404 * 10240; EvalClassificationError = 0.41220703 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.28757477 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0481s; samplesPerSecond = 213080.3
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.31915283 * 10240; EvalClassificationError = 0.41240234 * 10240; time = 0.0483s; samplesPerSecond = 211946.8
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.32291870 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0482s; samplesPerSecond = 212316.0
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.32131653 * 10240; EvalClassificationError = 0.41142578 * 10240; time = 0.0482s; samplesPerSecond = 212558.4
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.32781067 * 10240; EvalClassificationError = 0.41328125 * 10240; time = 0.0486s; samplesPerSecond = 210894.9
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.29000549 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0485s; samplesPerSecond = 211351.9
11/24/2016 20:15:27:  Epoch[ 6 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.28346863 * 10240; EvalClassificationError = 0.40449219 * 10240; time = 0.0482s; samplesPerSecond = 212562.8
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.30232849 * 10240; EvalClassificationError = 0.41132812 * 10240; time = 0.0482s; samplesPerSecond = 212606.9
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.30729370 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0483s; samplesPerSecond = 212078.5
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.30408020 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0479s; samplesPerSecond = 213810.0
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.31204834 * 10240; EvalClassificationError = 0.40996094 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.34234314 * 10240; EvalClassificationError = 0.41523437 * 10240; time = 0.0475s; samplesPerSecond = 215388.5
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.33334961 * 10240; EvalClassificationError = 0.41748047 * 10240; time = 0.0479s; samplesPerSecond = 213814.4
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.32135315 * 10240; EvalClassificationError = 0.41660156 * 10240; time = 0.0475s; samplesPerSecond = 215429.3
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.32523193 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0477s; samplesPerSecond = 214783.1
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.32550354 * 10240; EvalClassificationError = 0.41914062 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.30385437 * 10240; EvalClassificationError = 0.40976563 * 10240; time = 0.0477s; samplesPerSecond = 214729.1
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.30279541 * 10240; EvalClassificationError = 0.40712891 * 10240; time = 0.0477s; samplesPerSecond = 214868.7
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.29810791 * 10240; EvalClassificationError = 0.40576172 * 10240; time = 0.0477s; samplesPerSecond = 214882.3
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.31831970 * 10240; EvalClassificationError = 0.41337891 * 10240; time = 0.0476s; samplesPerSecond = 215297.9
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.31908569 * 10240; EvalClassificationError = 0.41259766 * 10240; time = 0.0478s; samplesPerSecond = 214369.5
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.30609741 * 10240; EvalClassificationError = 0.40947266 * 10240; time = 0.0477s; samplesPerSecond = 214855.2
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.32721558 * 10240; EvalClassificationError = 0.40820312 * 10240; time = 0.0479s; samplesPerSecond = 213796.6
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.31328125 * 10240; EvalClassificationError = 0.40937500 * 10240; time = 0.0476s; samplesPerSecond = 215288.9
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.31612549 * 10240; EvalClassificationError = 0.41367188 * 10240; time = 0.0477s; samplesPerSecond = 214805.6
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.31106567 * 10240; EvalClassificationError = 0.41181641 * 10240; time = 0.0476s; samplesPerSecond = 215221.0
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.31505737 * 10240; EvalClassificationError = 0.41738281 * 10240; time = 0.0477s; samplesPerSecond = 214783.1
11/24/2016 20:15:28:  Epoch[ 6 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.29234009 * 10240; EvalClassificationError = 0.40371094 * 10240; time = 0.0481s; samplesPerSecond = 212748.3
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.27431030 * 10240; EvalClassificationError = 0.40273437 * 10240; time = 0.0476s; samplesPerSecond = 215284.3
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.29169922 * 10240; EvalClassificationError = 0.40244141 * 10240; time = 0.0477s; samplesPerSecond = 214486.2
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.30422363 * 10240; EvalClassificationError = 0.40410156 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.29273682 * 10240; EvalClassificationError = 0.40498047 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.33119507 * 10240; EvalClassificationError = 0.41054687 * 10240; time = 0.0476s; samplesPerSecond = 215193.9
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.30500488 * 10240; EvalClassificationError = 0.40361328 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.33391113 * 10240; EvalClassificationError = 0.41191406 * 10240; time = 0.0479s; samplesPerSecond = 213618.2
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.29692993 * 10240; EvalClassificationError = 0.40693359 * 10240; time = 0.0478s; samplesPerSecond = 214082.6
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.31413574 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0481s; samplesPerSecond = 213067.0
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.29575195 * 10240; EvalClassificationError = 0.41054687 * 10240; time = 0.0483s; samplesPerSecond = 212065.4
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.28961792 * 10240; EvalClassificationError = 0.40341797 * 10240; time = 0.0482s; samplesPerSecond = 212461.4
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.29529419 * 10240; EvalClassificationError = 0.41171875 * 10240; time = 0.0483s; samplesPerSecond = 212074.1
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.29284058 * 10240; EvalClassificationError = 0.40712891 * 10240; time = 0.0481s; samplesPerSecond = 212788.1
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.30327759 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0485s; samplesPerSecond = 211186.3
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.28181152 * 10240; EvalClassificationError = 0.40078125 * 10240; time = 0.0482s; samplesPerSecond = 212518.7
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.30193481 * 10240; EvalClassificationError = 0.40654297 * 10240; time = 0.0482s; samplesPerSecond = 212267.6
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.30611572 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0481s; samplesPerSecond = 213075.9
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.31921387 * 10240; EvalClassificationError = 0.41093750 * 10240; time = 0.0484s; samplesPerSecond = 211727.7
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.29546509 * 10240; EvalClassificationError = 0.40615234 * 10240; time = 0.0483s; samplesPerSecond = 211995.1
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.31123657 * 10240; EvalClassificationError = 0.40976563 * 10240; time = 0.0483s; samplesPerSecond = 212214.8
11/24/2016 20:15:29:  Epoch[ 6 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.31762085 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0482s; samplesPerSecond = 212606.9
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.28862915 * 10240; EvalClassificationError = 0.40644531 * 10240; time = 0.0483s; samplesPerSecond = 212056.6
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.31968994 * 10240; EvalClassificationError = 0.41181641 * 10240; time = 0.0483s; samplesPerSecond = 211981.9
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.29322510 * 10240; EvalClassificationError = 0.40371094 * 10240; time = 0.0478s; samplesPerSecond = 214109.5
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.28899536 * 10240; EvalClassificationError = 0.40224609 * 10240; time = 0.0478s; samplesPerSecond = 214432.3
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.29976196 * 10240; EvalClassificationError = 0.40927734 * 10240; time = 0.0477s; samplesPerSecond = 214787.6
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.30312500 * 10240; EvalClassificationError = 0.40654297 * 10240; time = 0.0480s; samplesPerSecond = 213155.7
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.30941772 * 10240; EvalClassificationError = 0.40810547 * 10240; time = 0.0477s; samplesPerSecond = 214562.6
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.28438721 * 10240; EvalClassificationError = 0.40156250 * 10240; time = 0.0477s; samplesPerSecond = 214882.3
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.30592651 * 10240; EvalClassificationError = 0.40322266 * 10240; time = 0.0476s; samplesPerSecond = 215279.8
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.31157227 * 10240; EvalClassificationError = 0.40957031 * 10240; time = 0.0476s; samplesPerSecond = 215334.1
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.30418091 * 10240; EvalClassificationError = 0.40927734 * 10240; time = 0.0475s; samplesPerSecond = 215769.7
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.27888184 * 10240; EvalClassificationError = 0.40468750 * 10240; time = 0.0480s; samplesPerSecond = 213449.0
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.31042480 * 10240; EvalClassificationError = 0.41191406 * 10240; time = 0.0478s; samplesPerSecond = 214436.8
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.26481934 * 10240; EvalClassificationError = 0.39912109 * 10240; time = 0.0476s; samplesPerSecond = 215031.2
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.30141602 * 10240; EvalClassificationError = 0.40937500 * 10240; time = 0.0477s; samplesPerSecond = 214882.3
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.31251221 * 10240; EvalClassificationError = 0.42011719 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.29180908 * 10240; EvalClassificationError = 0.40146484 * 10240; time = 0.0476s; samplesPerSecond = 215085.4
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.28267822 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.30290527 * 10240; EvalClassificationError = 0.41337891 * 10240; time = 0.0476s; samplesPerSecond = 215175.8
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.29564209 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0477s; samplesPerSecond = 214540.1
11/24/2016 20:15:30:  Epoch[ 6 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.26568604 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0478s; samplesPerSecond = 214333.6
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.30946045 * 10240; EvalClassificationError = 0.41279297 * 10240; time = 0.0476s; samplesPerSecond = 214922.9
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.27730713 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.29453125 * 10240; EvalClassificationError = 0.40683594 * 10240; time = 0.0477s; samplesPerSecond = 214490.7
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.28585205 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0476s; samplesPerSecond = 214900.3
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.29039307 * 10240; EvalClassificationError = 0.40078125 * 10240; time = 0.0475s; samplesPerSecond = 215451.9
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.26641846 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0476s; samplesPerSecond = 214995.1
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.30295410 * 10240; EvalClassificationError = 0.40683594 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.28912354 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.29880371 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0476s; samplesPerSecond = 215329.6
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.29315186 * 10240; EvalClassificationError = 0.40917969 * 10240; time = 0.0477s; samplesPerSecond = 214549.1
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.29147949 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0476s; samplesPerSecond = 215162.2
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.31348877 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0476s; samplesPerSecond = 215230.0
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.28471680 * 10240; EvalClassificationError = 0.40410156 * 10240; time = 0.0475s; samplesPerSecond = 215384.0
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.27712402 * 10240; EvalClassificationError = 0.40566406 * 10240; time = 0.0477s; samplesPerSecond = 214508.7
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.31030273 * 10240; EvalClassificationError = 0.41328125 * 10240; time = 0.0477s; samplesPerSecond = 214639.1
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.27652588 * 10240; EvalClassificationError = 0.40800781 * 10240; time = 0.0477s; samplesPerSecond = 214769.6
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.30111084 * 10240; EvalClassificationError = 0.40058594 * 10240; time = 0.0476s; samplesPerSecond = 214959.0
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.30029297 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0478s; samplesPerSecond = 214373.9
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.29936523 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:15:31:  Epoch[ 6 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.27758789 * 10240; EvalClassificationError = 0.39511719 * 10240; time = 0.0477s; samplesPerSecond = 214882.3
11/24/2016 20:15:31: Finished Epoch[ 6 of 25]: [Training] CrossEntropyWithSoftmax = 1.30408251 * 1124823; EvalClassificationError = 0.40864740 * 1124823; totalSamplesSeen = 6748938; learningRatePerSample = 0.003125; epochTime=5.44893s
11/24/2016 20:15:32: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.6'

11/24/2016 20:15:32: Starting Epoch 7: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 6: frames [6748938..7873761] (first utterance at frame 6748938), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:32: Starting minibatch loop.
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.23521566 * 10240; EvalClassificationError = 0.38525391 * 10240; time = 0.0498s; samplesPerSecond = 205667.9
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.24758329 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0478s; samplesPerSecond = 214176.7
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.25119381 * 10240; EvalClassificationError = 0.39902344 * 10240; time = 0.0479s; samplesPerSecond = 213618.2
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.23293419 * 10240; EvalClassificationError = 0.38574219 * 10240; time = 0.0476s; samplesPerSecond = 214995.1
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.26390190 * 10240; EvalClassificationError = 0.39882812 * 10240; time = 0.0477s; samplesPerSecond = 214643.6
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.26314240 * 10240; EvalClassificationError = 0.39414063 * 10240; time = 0.0476s; samplesPerSecond = 215261.7
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.27441101 * 10240; EvalClassificationError = 0.40039062 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.27039948 * 10240; EvalClassificationError = 0.40361328 * 10240; time = 0.0479s; samplesPerSecond = 213823.3
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.27115860 * 10240; EvalClassificationError = 0.40097656 * 10240; time = 0.0477s; samplesPerSecond = 214513.2
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.27916565 * 10240; EvalClassificationError = 0.40312500 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.26220169 * 10240; EvalClassificationError = 0.39404297 * 10240; time = 0.0479s; samplesPerSecond = 213760.9
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.24920349 * 10240; EvalClassificationError = 0.39433594 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.28525238 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0478s; samplesPerSecond = 214082.6
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.27058716 * 10240; EvalClassificationError = 0.39726563 * 10240; time = 0.0475s; samplesPerSecond = 215483.7
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.26711731 * 10240; EvalClassificationError = 0.39667969 * 10240; time = 0.0479s; samplesPerSecond = 213850.1
11/24/2016 20:15:32:  Epoch[ 7 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.25741730 * 10240; EvalClassificationError = 0.39560547 * 10240; time = 0.0476s; samplesPerSecond = 215135.1
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.27091980 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0479s; samplesPerSecond = 213872.5
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.24601593 * 10240; EvalClassificationError = 0.39199219 * 10240; time = 0.0475s; samplesPerSecond = 215774.3
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.27750702 * 10240; EvalClassificationError = 0.40302734 * 10240; time = 0.0478s; samplesPerSecond = 214311.1
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.26142731 * 10240; EvalClassificationError = 0.39931641 * 10240; time = 0.0477s; samplesPerSecond = 214787.6
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.27261963 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.26342468 * 10240; EvalClassificationError = 0.39902344 * 10240; time = 0.0477s; samplesPerSecond = 214828.2
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.28624573 * 10240; EvalClassificationError = 0.40068359 * 10240; time = 0.0478s; samplesPerSecond = 214100.5
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.27030029 * 10240; EvalClassificationError = 0.40332031 * 10240; time = 0.0479s; samplesPerSecond = 213595.9
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.26489258 * 10240; EvalClassificationError = 0.39023438 * 10240; time = 0.0476s; samplesPerSecond = 215071.8
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.25322876 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.26453552 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0478s; samplesPerSecond = 214087.1
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.26626892 * 10240; EvalClassificationError = 0.40341797 * 10240; time = 0.0479s; samplesPerSecond = 213720.7
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.26587524 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0477s; samplesPerSecond = 214814.7
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.27504272 * 10240; EvalClassificationError = 0.40097656 * 10240; time = 0.0477s; samplesPerSecond = 214481.7
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.25083008 * 10240; EvalClassificationError = 0.39580078 * 10240; time = 0.0479s; samplesPerSecond = 213885.9
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.25018616 * 10240; EvalClassificationError = 0.39833984 * 10240; time = 0.0479s; samplesPerSecond = 213818.9
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.26620483 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0476s; samplesPerSecond = 215162.2
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.25173950 * 10240; EvalClassificationError = 0.39355469 * 10240; time = 0.0478s; samplesPerSecond = 214275.3
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.26549377 * 10240; EvalClassificationError = 0.39677734 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.25417786 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0478s; samplesPerSecond = 214051.3
11/24/2016 20:15:33:  Epoch[ 7 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.25736084 * 10240; EvalClassificationError = 0.39970703 * 10240; time = 0.0478s; samplesPerSecond = 214015.5
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.26674500 * 10240; EvalClassificationError = 0.40400391 * 10240; time = 0.0479s; samplesPerSecond = 213939.5
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.26166687 * 10240; EvalClassificationError = 0.40039062 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.26719971 * 10240; EvalClassificationError = 0.40117188 * 10240; time = 0.0478s; samplesPerSecond = 214293.2
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.25334778 * 10240; EvalClassificationError = 0.39062500 * 10240; time = 0.0477s; samplesPerSecond = 214450.3
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.27050171 * 10240; EvalClassificationError = 0.39648438 * 10240; time = 0.0481s; samplesPerSecond = 212982.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.25586548 * 10240; EvalClassificationError = 0.39082031 * 10240; time = 0.0483s; samplesPerSecond = 211968.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.25444946 * 10240; EvalClassificationError = 0.39326172 * 10240; time = 0.0480s; samplesPerSecond = 213355.6
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.25827026 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0485s; samplesPerSecond = 211155.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.24888916 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0484s; samplesPerSecond = 211754.0
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.25407715 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0484s; samplesPerSecond = 211482.9
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.25825195 * 10240; EvalClassificationError = 0.39384766 * 10240; time = 0.0485s; samplesPerSecond = 211199.3
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.27064819 * 10240; EvalClassificationError = 0.40175781 * 10240; time = 0.0485s; samplesPerSecond = 211081.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.25521851 * 10240; EvalClassificationError = 0.39843750 * 10240; time = 0.0486s; samplesPerSecond = 210539.3
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.24354248 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0484s; samplesPerSecond = 211552.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.25478516 * 10240; EvalClassificationError = 0.39365234 * 10240; time = 0.0484s; samplesPerSecond = 211461.0
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.25823975 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0484s; samplesPerSecond = 211627.1
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.24179077 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0483s; samplesPerSecond = 212201.6
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.23535156 * 10240; EvalClassificationError = 0.38925781 * 10240; time = 0.0484s; samplesPerSecond = 211382.4
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.26060181 * 10240; EvalClassificationError = 0.39716797 * 10240; time = 0.0484s; samplesPerSecond = 211386.8
11/24/2016 20:15:34:  Epoch[ 7 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.25888672 * 10240; EvalClassificationError = 0.39882812 * 10240; time = 0.0485s; samplesPerSecond = 211121.0
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.28789673 * 10240; EvalClassificationError = 0.40214844 * 10240; time = 0.0484s; samplesPerSecond = 211399.9
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.24714355 * 10240; EvalClassificationError = 0.39335938 * 10240; time = 0.0484s; samplesPerSecond = 211509.1
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.22604980 * 10240; EvalClassificationError = 0.38964844 * 10240; time = 0.0480s; samplesPerSecond = 213222.3
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.28448486 * 10240; EvalClassificationError = 0.40439453 * 10240; time = 0.0479s; samplesPerSecond = 213667.2
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.24533691 * 10240; EvalClassificationError = 0.38789062 * 10240; time = 0.0479s; samplesPerSecond = 213827.8
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.24055176 * 10240; EvalClassificationError = 0.39931641 * 10240; time = 0.0478s; samplesPerSecond = 214360.5
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.28306885 * 10240; EvalClassificationError = 0.40283203 * 10240; time = 0.0477s; samplesPerSecond = 214832.7
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.26866455 * 10240; EvalClassificationError = 0.39638672 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.23234253 * 10240; EvalClassificationError = 0.39033203 * 10240; time = 0.0478s; samplesPerSecond = 214351.5
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.24729614 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0478s; samplesPerSecond = 214373.9
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.25764771 * 10240; EvalClassificationError = 0.39355469 * 10240; time = 0.0476s; samplesPerSecond = 215008.6
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.23121338 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0477s; samplesPerSecond = 214598.6
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.28394775 * 10240; EvalClassificationError = 0.40283203 * 10240; time = 0.0479s; samplesPerSecond = 213912.7
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.26906128 * 10240; EvalClassificationError = 0.40126953 * 10240; time = 0.0477s; samplesPerSecond = 214639.1
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.26852417 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.29039307 * 10240; EvalClassificationError = 0.40195313 * 10240; time = 0.0476s; samplesPerSecond = 215347.7
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.27913208 * 10240; EvalClassificationError = 0.40292969 * 10240; time = 0.0478s; samplesPerSecond = 214185.6
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.25645142 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0478s; samplesPerSecond = 214239.4
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.26345825 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0480s; samplesPerSecond = 213404.5
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.26244507 * 10240; EvalClassificationError = 0.40175781 * 10240; time = 0.0484s; samplesPerSecond = 211583.4
11/24/2016 20:15:35:  Epoch[ 7 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.27954712 * 10240; EvalClassificationError = 0.40400391 * 10240; time = 0.0483s; samplesPerSecond = 212030.2
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.24749756 * 10240; EvalClassificationError = 0.39375000 * 10240; time = 0.0482s; samplesPerSecond = 212399.7
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.25257568 * 10240; EvalClassificationError = 0.39511719 * 10240; time = 0.0485s; samplesPerSecond = 211334.5
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.24799805 * 10240; EvalClassificationError = 0.39433594 * 10240; time = 0.0479s; samplesPerSecond = 213854.6
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.24951172 * 10240; EvalClassificationError = 0.39736328 * 10240; time = 0.0477s; samplesPerSecond = 214873.3
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.25294189 * 10240; EvalClassificationError = 0.39199219 * 10240; time = 0.0476s; samplesPerSecond = 215139.6
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.23358154 * 10240; EvalClassificationError = 0.39130859 * 10240; time = 0.0478s; samplesPerSecond = 214185.6
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.24606934 * 10240; EvalClassificationError = 0.39228516 * 10240; time = 0.0478s; samplesPerSecond = 214414.3
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.25344238 * 10240; EvalClassificationError = 0.40000000 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.24805908 * 10240; EvalClassificationError = 0.39414063 * 10240; time = 0.0476s; samplesPerSecond = 215202.9
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.25502930 * 10240; EvalClassificationError = 0.39960937 * 10240; time = 0.0478s; samplesPerSecond = 214414.3
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.23881836 * 10240; EvalClassificationError = 0.38886719 * 10240; time = 0.0476s; samplesPerSecond = 215031.2
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.29508057 * 10240; EvalClassificationError = 0.41044922 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.23480225 * 10240; EvalClassificationError = 0.39208984 * 10240; time = 0.0477s; samplesPerSecond = 214567.1
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.24981689 * 10240; EvalClassificationError = 0.39648438 * 10240; time = 0.0479s; samplesPerSecond = 213653.8
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.24893799 * 10240; EvalClassificationError = 0.39296875 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.28870850 * 10240; EvalClassificationError = 0.40839844 * 10240; time = 0.0479s; samplesPerSecond = 213966.3
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.25733643 * 10240; EvalClassificationError = 0.39814453 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.26892090 * 10240; EvalClassificationError = 0.39404297 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.25216064 * 10240; EvalClassificationError = 0.39785156 * 10240; time = 0.0479s; samplesPerSecond = 213903.7
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.27181396 * 10240; EvalClassificationError = 0.40009766 * 10240; time = 0.0478s; samplesPerSecond = 214270.8
11/24/2016 20:15:36:  Epoch[ 7 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.27269287 * 10240; EvalClassificationError = 0.39667969 * 10240; time = 0.0478s; samplesPerSecond = 214154.3
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.27235107 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0475s; samplesPerSecond = 215778.8
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.25462646 * 10240; EvalClassificationError = 0.39873047 * 10240; time = 0.0477s; samplesPerSecond = 214814.7
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.26566162 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0479s; samplesPerSecond = 213725.2
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.21665039 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0478s; samplesPerSecond = 214418.8
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.25627441 * 10240; EvalClassificationError = 0.39394531 * 10240; time = 0.0476s; samplesPerSecond = 214995.1
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.25078125 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0478s; samplesPerSecond = 214351.5
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.27509766 * 10240; EvalClassificationError = 0.39853516 * 10240; time = 0.0479s; samplesPerSecond = 213778.7
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.23734131 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0478s; samplesPerSecond = 214028.9
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.27210693 * 10240; EvalClassificationError = 0.40302734 * 10240; time = 0.0479s; samplesPerSecond = 213966.3
11/24/2016 20:15:37:  Epoch[ 7 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.23193359 * 10240; EvalClassificationError = 0.39052734 * 10240; time = 0.0479s; samplesPerSecond = 213944.0
11/24/2016 20:15:37: Finished Epoch[ 7 of 25]: [Training] CrossEntropyWithSoftmax = 1.25913822 * 1124823; EvalClassificationError = 0.39672820 * 1124823; totalSamplesSeen = 7873761; learningRatePerSample = 0.003125; epochTime=5.44409s
11/24/2016 20:15:37: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.7'

11/24/2016 20:15:37: Starting Epoch 8: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 7: frames [7873761..8998584] (first utterance at frame 7873761), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:37: Starting minibatch loop.
11/24/2016 20:15:37:  Epoch[ 8 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.20586462 * 10240; EvalClassificationError = 0.38193359 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
11/24/2016 20:15:37:  Epoch[ 8 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.21404982 * 10240; EvalClassificationError = 0.38779297 * 10240; time = 0.0477s; samplesPerSecond = 214580.6
11/24/2016 20:15:37:  Epoch[ 8 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.22098598 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0477s; samplesPerSecond = 214657.1
11/24/2016 20:15:37:  Epoch[ 8 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.20149193 * 10240; EvalClassificationError = 0.38476562 * 10240; time = 0.0477s; samplesPerSecond = 214589.6
11/24/2016 20:15:37:  Epoch[ 8 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.19533806 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0477s; samplesPerSecond = 214495.2
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.22034683 * 10240; EvalClassificationError = 0.39189453 * 10240; time = 0.0479s; samplesPerSecond = 213765.3
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.23051758 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0479s; samplesPerSecond = 213707.3
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.21914444 * 10240; EvalClassificationError = 0.38867188 * 10240; time = 0.0477s; samplesPerSecond = 214585.1
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.22151566 * 10240; EvalClassificationError = 0.38662109 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.21638870 * 10240; EvalClassificationError = 0.38691406 * 10240; time = 0.0476s; samplesPerSecond = 215080.9
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.22509308 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0479s; samplesPerSecond = 213885.9
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.20678406 * 10240; EvalClassificationError = 0.38125000 * 10240; time = 0.0478s; samplesPerSecond = 214109.5
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.25397644 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0480s; samplesPerSecond = 213364.4
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.21129303 * 10240; EvalClassificationError = 0.38378906 * 10240; time = 0.0477s; samplesPerSecond = 214706.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.23371429 * 10240; EvalClassificationError = 0.39072266 * 10240; time = 0.0479s; samplesPerSecond = 213778.7
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.20208740 * 10240; EvalClassificationError = 0.38222656 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.23152161 * 10240; EvalClassificationError = 0.39375000 * 10240; time = 0.0479s; samplesPerSecond = 213961.8
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.20874939 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0480s; samplesPerSecond = 213546.9
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.24143372 * 10240; EvalClassificationError = 0.38925781 * 10240; time = 0.0476s; samplesPerSecond = 215193.9
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.21611328 * 10240; EvalClassificationError = 0.38955078 * 10240; time = 0.0477s; samplesPerSecond = 214643.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.23892212 * 10240; EvalClassificationError = 0.39394531 * 10240; time = 0.0477s; samplesPerSecond = 214697.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.24146423 * 10240; EvalClassificationError = 0.39267578 * 10240; time = 0.0475s; samplesPerSecond = 215393.0
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.23057861 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0478s; samplesPerSecond = 214306.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.23171692 * 10240; EvalClassificationError = 0.39804688 * 10240; time = 0.0479s; samplesPerSecond = 213845.7
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.20463257 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0476s; samplesPerSecond = 215008.6
11/24/2016 20:15:38:  Epoch[ 8 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.23637085 * 10240; EvalClassificationError = 0.39218750 * 10240; time = 0.0476s; samplesPerSecond = 215067.3
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.22817078 * 10240; EvalClassificationError = 0.39130859 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.21813049 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0477s; samplesPerSecond = 214711.1
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.23733826 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0477s; samplesPerSecond = 214697.6
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.20740967 * 10240; EvalClassificationError = 0.38701172 * 10240; time = 0.0478s; samplesPerSecond = 214225.9
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.23563538 * 10240; EvalClassificationError = 0.38691406 * 10240; time = 0.0479s; samplesPerSecond = 213653.8
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.22614746 * 10240; EvalClassificationError = 0.39160156 * 10240; time = 0.0480s; samplesPerSecond = 213377.8
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.22590637 * 10240; EvalClassificationError = 0.38486328 * 10240; time = 0.0480s; samplesPerSecond = 213204.5
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.22349854 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0481s; samplesPerSecond = 212978.4
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.20779114 * 10240; EvalClassificationError = 0.38134766 * 10240; time = 0.0483s; samplesPerSecond = 212021.5
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.23580933 * 10240; EvalClassificationError = 0.39189453 * 10240; time = 0.0485s; samplesPerSecond = 211029.6
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.22293396 * 10240; EvalClassificationError = 0.38398437 * 10240; time = 0.0481s; samplesPerSecond = 212695.2
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.22753906 * 10240; EvalClassificationError = 0.39335938 * 10240; time = 0.0483s; samplesPerSecond = 212074.1
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.22358398 * 10240; EvalClassificationError = 0.38564453 * 10240; time = 0.0482s; samplesPerSecond = 212598.1
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.22240906 * 10240; EvalClassificationError = 0.38574219 * 10240; time = 0.0485s; samplesPerSecond = 210960.0
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.23687439 * 10240; EvalClassificationError = 0.39130859 * 10240; time = 0.0484s; samplesPerSecond = 211635.8
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.23006287 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0483s; samplesPerSecond = 212223.6
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.23460693 * 10240; EvalClassificationError = 0.38916016 * 10240; time = 0.0482s; samplesPerSecond = 212390.8
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.20761108 * 10240; EvalClassificationError = 0.38212891 * 10240; time = 0.0483s; samplesPerSecond = 211938.1
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.24221802 * 10240; EvalClassificationError = 0.39472656 * 10240; time = 0.0481s; samplesPerSecond = 212920.8
11/24/2016 20:15:39:  Epoch[ 8 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.20451660 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0485s; samplesPerSecond = 211269.1
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.21772461 * 10240; EvalClassificationError = 0.38291016 * 10240; time = 0.0485s; samplesPerSecond = 211134.0
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.24702148 * 10240; EvalClassificationError = 0.39736328 * 10240; time = 0.0485s; samplesPerSecond = 211247.3
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.21080933 * 10240; EvalClassificationError = 0.39072266 * 10240; time = 0.0480s; samplesPerSecond = 213426.7
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.22951660 * 10240; EvalClassificationError = 0.39218750 * 10240; time = 0.0477s; samplesPerSecond = 214688.6
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.24316406 * 10240; EvalClassificationError = 0.39521484 * 10240; time = 0.0476s; samplesPerSecond = 215103.5
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.22893066 * 10240; EvalClassificationError = 0.38896484 * 10240; time = 0.0477s; samplesPerSecond = 214508.7
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.26077271 * 10240; EvalClassificationError = 0.39482422 * 10240; time = 0.0478s; samplesPerSecond = 214208.0
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.23244629 * 10240; EvalClassificationError = 0.38710937 * 10240; time = 0.0477s; samplesPerSecond = 214495.2
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.19486084 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0479s; samplesPerSecond = 213671.6
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.25098267 * 10240; EvalClassificationError = 0.39589844 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.24112549 * 10240; EvalClassificationError = 0.39013672 * 10240; time = 0.0477s; samplesPerSecond = 214882.3
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.22171021 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0477s; samplesPerSecond = 214742.6
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.21805420 * 10240; EvalClassificationError = 0.39179687 * 10240; time = 0.0477s; samplesPerSecond = 214778.6
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.23266602 * 10240; EvalClassificationError = 0.39169922 * 10240; time = 0.0480s; samplesPerSecond = 213555.8
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.22928467 * 10240; EvalClassificationError = 0.39160156 * 10240; time = 0.0476s; samplesPerSecond = 214913.8
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.20197754 * 10240; EvalClassificationError = 0.38056641 * 10240; time = 0.0476s; samplesPerSecond = 214954.4
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.22017822 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0477s; samplesPerSecond = 214585.1
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.21285400 * 10240; EvalClassificationError = 0.38828125 * 10240; time = 0.0482s; samplesPerSecond = 212456.9
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.23880615 * 10240; EvalClassificationError = 0.38779297 * 10240; time = 0.0485s; samplesPerSecond = 211347.5
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.23144531 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0484s; samplesPerSecond = 211583.4
11/24/2016 20:15:40:  Epoch[ 8 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.23484497 * 10240; EvalClassificationError = 0.38935547 * 10240; time = 0.0485s; samplesPerSecond = 211160.1
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.23081055 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0485s; samplesPerSecond = 210920.9
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.21207886 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0483s; samplesPerSecond = 211863.5
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.23298950 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0479s; samplesPerSecond = 213667.2
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.21531372 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.22949219 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0480s; samplesPerSecond = 213529.1
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.21959229 * 10240; EvalClassificationError = 0.38369141 * 10240; time = 0.0477s; samplesPerSecond = 214585.1
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.21810303 * 10240; EvalClassificationError = 0.39208984 * 10240; time = 0.0479s; samplesPerSecond = 213823.3
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.20846558 * 10240; EvalClassificationError = 0.39013672 * 10240; time = 0.0481s; samplesPerSecond = 213031.5
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.20931396 * 10240; EvalClassificationError = 0.38593750 * 10240; time = 0.0478s; samplesPerSecond = 214105.0
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.24032593 * 10240; EvalClassificationError = 0.39169922 * 10240; time = 0.0478s; samplesPerSecond = 214225.9
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.20841064 * 10240; EvalClassificationError = 0.38330078 * 10240; time = 0.0482s; samplesPerSecond = 212461.4
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.18800049 * 10240; EvalClassificationError = 0.37929687 * 10240; time = 0.0483s; samplesPerSecond = 212135.7
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.22444458 * 10240; EvalClassificationError = 0.38642578 * 10240; time = 0.0485s; samplesPerSecond = 211234.2
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.23156738 * 10240; EvalClassificationError = 0.38896484 * 10240; time = 0.0483s; samplesPerSecond = 212140.0
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.23823242 * 10240; EvalClassificationError = 0.39199219 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.18928833 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0482s; samplesPerSecond = 212558.4
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.20247803 * 10240; EvalClassificationError = 0.38359375 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.22062988 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0484s; samplesPerSecond = 211789.0
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.22330322 * 10240; EvalClassificationError = 0.38427734 * 10240; time = 0.0483s; samplesPerSecond = 211832.9
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.22906494 * 10240; EvalClassificationError = 0.38916016 * 10240; time = 0.0503s; samplesPerSecond = 203635.2
11/24/2016 20:15:41:  Epoch[ 8 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.21528320 * 10240; EvalClassificationError = 0.37792969 * 10240; time = 0.0548s; samplesPerSecond = 186813.6
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.20343018 * 10240; EvalClassificationError = 0.38085938 * 10240; time = 0.0546s; samplesPerSecond = 187477.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.20792236 * 10240; EvalClassificationError = 0.38457031 * 10240; time = 0.0565s; samplesPerSecond = 181274.2
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.21726074 * 10240; EvalClassificationError = 0.38535156 * 10240; time = 0.0554s; samplesPerSecond = 184730.8
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.21180420 * 10240; EvalClassificationError = 0.38222656 * 10240; time = 0.0551s; samplesPerSecond = 185685.5
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.21563721 * 10240; EvalClassificationError = 0.38496094 * 10240; time = 0.0566s; samplesPerSecond = 180960.3
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.20891113 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0551s; samplesPerSecond = 185837.2
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.24050293 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0556s; samplesPerSecond = 184252.2
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.18885498 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0551s; samplesPerSecond = 185709.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.22700195 * 10240; EvalClassificationError = 0.38759766 * 10240; time = 0.0551s; samplesPerSecond = 185790.0
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.24118652 * 10240; EvalClassificationError = 0.38642578 * 10240; time = 0.0556s; samplesPerSecond = 184318.5
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.21700439 * 10240; EvalClassificationError = 0.38535156 * 10240; time = 0.0553s; samplesPerSecond = 185289.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.20510254 * 10240; EvalClassificationError = 0.38291016 * 10240; time = 0.0548s; samplesPerSecond = 186909.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.22460938 * 10240; EvalClassificationError = 0.38769531 * 10240; time = 0.0546s; samplesPerSecond = 187490.8
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.20622559 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0547s; samplesPerSecond = 187291.9
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.21979980 * 10240; EvalClassificationError = 0.39658203 * 10240; time = 0.0546s; samplesPerSecond = 187556.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.20131836 * 10240; EvalClassificationError = 0.38017578 * 10240; time = 0.0546s; samplesPerSecond = 187381.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.19165039 * 10240; EvalClassificationError = 0.38203125 * 10240; time = 0.0545s; samplesPerSecond = 187752.1
11/24/2016 20:15:42:  Epoch[ 8 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.21188965 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0546s; samplesPerSecond = 187418.8
11/24/2016 20:15:43:  Epoch[ 8 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.22344971 * 10240; EvalClassificationError = 0.39326172 * 10240; time = 0.0544s; samplesPerSecond = 188273.4
11/24/2016 20:15:43:  Epoch[ 8 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.20931396 * 10240; EvalClassificationError = 0.38564453 * 10240; time = 0.0564s; samplesPerSecond = 181598.9
11/24/2016 20:15:43:  Epoch[ 8 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.21270752 * 10240; EvalClassificationError = 0.38242188 * 10240; time = 0.0558s; samplesPerSecond = 183581.6
11/24/2016 20:15:43: Finished Epoch[ 8 of 25]: [Training] CrossEntropyWithSoftmax = 1.22148729 * 1124823; EvalClassificationError = 0.38733383 * 1124823; totalSamplesSeen = 8998584; learningRatePerSample = 0.003125; epochTime=5.61857s
11/24/2016 20:15:43: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.8'

11/24/2016 20:15:43: Starting Epoch 9: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 8: frames [8998584..10123407] (first utterance at frame 8998584), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:43: Starting minibatch loop.
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.16529989 * 10240; EvalClassificationError = 0.36787109 * 10240; time = 0.0500s; samplesPerSecond = 204767.2
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.18260946 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0483s; samplesPerSecond = 211898.6
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.16383419 * 10240; EvalClassificationError = 0.37822266 * 10240; time = 0.0484s; samplesPerSecond = 211439.2
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.18737183 * 10240; EvalClassificationError = 0.37949219 * 10240; time = 0.0482s; samplesPerSecond = 212404.1
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.15640755 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0486s; samplesPerSecond = 210799.3
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.20481796 * 10240; EvalClassificationError = 0.37656250 * 10240; time = 0.0485s; samplesPerSecond = 211199.3
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.19746475 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0484s; samplesPerSecond = 211447.9
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.20554276 * 10240; EvalClassificationError = 0.38740234 * 10240; time = 0.0482s; samplesPerSecond = 212263.2
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.17656631 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0486s; samplesPerSecond = 210803.7
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.19903412 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0486s; samplesPerSecond = 210912.2
11/24/2016 20:15:43:  Epoch[ 9 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.18934402 * 10240; EvalClassificationError = 0.37363281 * 10240; time = 0.0486s; samplesPerSecond = 210699.6
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.18177795 * 10240; EvalClassificationError = 0.37226562 * 10240; time = 0.0483s; samplesPerSecond = 211876.7
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.16704865 * 10240; EvalClassificationError = 0.37294922 * 10240; time = 0.0485s; samplesPerSecond = 211321.4
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.18506622 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0480s; samplesPerSecond = 213235.6
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.19413452 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0479s; samplesPerSecond = 213850.1
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.19813232 * 10240; EvalClassificationError = 0.38046875 * 10240; time = 0.0477s; samplesPerSecond = 214859.7
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.19954529 * 10240; EvalClassificationError = 0.38417969 * 10240; time = 0.0481s; samplesPerSecond = 212916.4
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.20978546 * 10240; EvalClassificationError = 0.39033203 * 10240; time = 0.0481s; samplesPerSecond = 212690.8
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.18893738 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0482s; samplesPerSecond = 212395.3
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.16879425 * 10240; EvalClassificationError = 0.37148437 * 10240; time = 0.0486s; samplesPerSecond = 210664.9
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.18285217 * 10240; EvalClassificationError = 0.37666016 * 10240; time = 0.0485s; samplesPerSecond = 211347.5
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.19725342 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0484s; samplesPerSecond = 211395.5
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.16716309 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0484s; samplesPerSecond = 211535.3
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.17665405 * 10240; EvalClassificationError = 0.37412109 * 10240; time = 0.0485s; samplesPerSecond = 211273.4
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.18485718 * 10240; EvalClassificationError = 0.38339844 * 10240; time = 0.0483s; samplesPerSecond = 211933.7
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.19432373 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0485s; samplesPerSecond = 211312.7
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.16883545 * 10240; EvalClassificationError = 0.37626953 * 10240; time = 0.0484s; samplesPerSecond = 211570.2
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.18942871 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0485s; samplesPerSecond = 211012.2
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.19776611 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0485s; samplesPerSecond = 211094.8
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.20095520 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0485s; samplesPerSecond = 211195.0
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.19738464 * 10240; EvalClassificationError = 0.38281250 * 10240; time = 0.0483s; samplesPerSecond = 211889.8
11/24/2016 20:15:44:  Epoch[ 9 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.21705322 * 10240; EvalClassificationError = 0.38769531 * 10240; time = 0.0485s; samplesPerSecond = 211160.1
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.18590393 * 10240; EvalClassificationError = 0.37500000 * 10240; time = 0.0483s; samplesPerSecond = 212017.1
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.18324280 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0484s; samplesPerSecond = 211780.3
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.19591370 * 10240; EvalClassificationError = 0.38662109 * 10240; time = 0.0478s; samplesPerSecond = 214087.1
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.19604492 * 10240; EvalClassificationError = 0.38095703 * 10240; time = 0.0477s; samplesPerSecond = 214661.6
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.19666443 * 10240; EvalClassificationError = 0.38027344 * 10240; time = 0.0478s; samplesPerSecond = 214203.5
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.17419739 * 10240; EvalClassificationError = 0.37978516 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.18618469 * 10240; EvalClassificationError = 0.37587891 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.18243103 * 10240; EvalClassificationError = 0.37802734 * 10240; time = 0.0478s; samplesPerSecond = 214203.5
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.18659058 * 10240; EvalClassificationError = 0.37500000 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.21547852 * 10240; EvalClassificationError = 0.38457031 * 10240; time = 0.0479s; samplesPerSecond = 213765.3
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.17494202 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0477s; samplesPerSecond = 214526.6
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.18946838 * 10240; EvalClassificationError = 0.37851563 * 10240; time = 0.0478s; samplesPerSecond = 214028.9
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.18145752 * 10240; EvalClassificationError = 0.37460938 * 10240; time = 0.0478s; samplesPerSecond = 214275.3
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.17110596 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0478s; samplesPerSecond = 214131.9
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.20552979 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0478s; samplesPerSecond = 214315.6
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.20358887 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0476s; samplesPerSecond = 215212.0
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.21502075 * 10240; EvalClassificationError = 0.38447266 * 10240; time = 0.0478s; samplesPerSecond = 214418.8
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.19462280 * 10240; EvalClassificationError = 0.38417969 * 10240; time = 0.0477s; samplesPerSecond = 214594.1
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.16977539 * 10240; EvalClassificationError = 0.37255859 * 10240; time = 0.0481s; samplesPerSecond = 212770.4
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.20538330 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0477s; samplesPerSecond = 214567.1
11/24/2016 20:15:45:  Epoch[ 9 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.19609985 * 10240; EvalClassificationError = 0.38125000 * 10240; time = 0.0477s; samplesPerSecond = 214607.6
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.19224243 * 10240; EvalClassificationError = 0.37753906 * 10240; time = 0.0479s; samplesPerSecond = 213921.6
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.18242187 * 10240; EvalClassificationError = 0.37714844 * 10240; time = 0.0481s; samplesPerSecond = 212885.4
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.20706177 * 10240; EvalClassificationError = 0.38818359 * 10240; time = 0.0476s; samplesPerSecond = 215022.2
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.17670288 * 10240; EvalClassificationError = 0.37587891 * 10240; time = 0.0477s; samplesPerSecond = 214634.6
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.18811035 * 10240; EvalClassificationError = 0.37705078 * 10240; time = 0.0477s; samplesPerSecond = 214810.2
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.17804565 * 10240; EvalClassificationError = 0.37441406 * 10240; time = 0.0480s; samplesPerSecond = 213515.7
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.20617676 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0478s; samplesPerSecond = 214436.8
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.19247437 * 10240; EvalClassificationError = 0.38300781 * 10240; time = 0.0479s; samplesPerSecond = 213689.5
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.23511963 * 10240; EvalClassificationError = 0.38652344 * 10240; time = 0.0477s; samplesPerSecond = 214639.1
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.20949097 * 10240; EvalClassificationError = 0.38789062 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.19895630 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0477s; samplesPerSecond = 214891.3
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.20021973 * 10240; EvalClassificationError = 0.37978516 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.19686890 * 10240; EvalClassificationError = 0.38066406 * 10240; time = 0.0478s; samplesPerSecond = 214432.3
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.18971558 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0475s; samplesPerSecond = 215492.8
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.17381592 * 10240; EvalClassificationError = 0.37480469 * 10240; time = 0.0481s; samplesPerSecond = 212987.2
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.21223755 * 10240; EvalClassificationError = 0.38193359 * 10240; time = 0.0476s; samplesPerSecond = 214913.8
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.18028564 * 10240; EvalClassificationError = 0.37705078 * 10240; time = 0.0478s; samplesPerSecond = 214427.8
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.17227783 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0480s; samplesPerSecond = 213533.5
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.15892334 * 10240; EvalClassificationError = 0.36982422 * 10240; time = 0.0476s; samplesPerSecond = 215004.1
11/24/2016 20:15:46:  Epoch[ 9 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.16232910 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0477s; samplesPerSecond = 214891.3
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.20146484 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0478s; samplesPerSecond = 214391.9
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.18873291 * 10240; EvalClassificationError = 0.37265625 * 10240; time = 0.0476s; samplesPerSecond = 215130.6
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.21314087 * 10240; EvalClassificationError = 0.38613281 * 10240; time = 0.0476s; samplesPerSecond = 215026.7
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.18326416 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0477s; samplesPerSecond = 214801.1
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.19664917 * 10240; EvalClassificationError = 0.38261719 * 10240; time = 0.0478s; samplesPerSecond = 214011.0
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.18226929 * 10240; EvalClassificationError = 0.37656250 * 10240; time = 0.0476s; samplesPerSecond = 215275.3
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.19921875 * 10240; EvalClassificationError = 0.37646484 * 10240; time = 0.0476s; samplesPerSecond = 215067.3
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.21990356 * 10240; EvalClassificationError = 0.38476562 * 10240; time = 0.0476s; samplesPerSecond = 214940.9
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.18047485 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0477s; samplesPerSecond = 214558.1
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.18912964 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0476s; samplesPerSecond = 215130.6
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.20666504 * 10240; EvalClassificationError = 0.38300781 * 10240; time = 0.0483s; samplesPerSecond = 212061.0
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.18176270 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0477s; samplesPerSecond = 214562.6
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.19930420 * 10240; EvalClassificationError = 0.38261719 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.19179688 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0479s; samplesPerSecond = 213582.5
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.21595459 * 10240; EvalClassificationError = 0.38437500 * 10240; time = 0.0480s; samplesPerSecond = 213457.9
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.19433594 * 10240; EvalClassificationError = 0.38007812 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.17430420 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0479s; samplesPerSecond = 213693.9
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.19395752 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0478s; samplesPerSecond = 214020.0
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.16671143 * 10240; EvalClassificationError = 0.36933594 * 10240; time = 0.0479s; samplesPerSecond = 213993.1
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.16016846 * 10240; EvalClassificationError = 0.37255859 * 10240; time = 0.0486s; samplesPerSecond = 210864.5
11/24/2016 20:15:47:  Epoch[ 9 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.19051514 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0486s; samplesPerSecond = 210834.1
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.18935547 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0488s; samplesPerSecond = 209904.9
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.19426270 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0485s; samplesPerSecond = 211321.4
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.17677002 * 10240; EvalClassificationError = 0.37666016 * 10240; time = 0.0482s; samplesPerSecond = 212408.5
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.15977783 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0478s; samplesPerSecond = 214261.8
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.17802734 * 10240; EvalClassificationError = 0.37958984 * 10240; time = 0.0478s; samplesPerSecond = 214024.5
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.19038086 * 10240; EvalClassificationError = 0.37802734 * 10240; time = 0.0478s; samplesPerSecond = 214391.9
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.18514404 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0480s; samplesPerSecond = 213502.4
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.17004395 * 10240; EvalClassificationError = 0.37558594 * 10240; time = 0.0478s; samplesPerSecond = 214051.3
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.17969971 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0481s; samplesPerSecond = 212960.7
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.18574219 * 10240; EvalClassificationError = 0.37265625 * 10240; time = 0.0480s; samplesPerSecond = 213138.0
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.17713623 * 10240; EvalClassificationError = 0.38232422 * 10240; time = 0.0480s; samplesPerSecond = 213382.2
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.19372559 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0479s; samplesPerSecond = 213738.5
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.16794434 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0478s; samplesPerSecond = 214338.0
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.17902832 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0478s; samplesPerSecond = 214391.9
11/24/2016 20:15:48:  Epoch[ 9 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.18753662 * 10240; EvalClassificationError = 0.37763672 * 10240; time = 0.0479s; samplesPerSecond = 213698.4
11/24/2016 20:15:48: Finished Epoch[ 9 of 25]: [Training] CrossEntropyWithSoftmax = 1.18864524 * 1124823; EvalClassificationError = 0.37830396 * 1124823; totalSamplesSeen = 10123407; learningRatePerSample = 0.003125; epochTime=5.45793s
11/24/2016 20:15:48: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.9'

11/24/2016 20:15:48: Starting Epoch 10: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 9: frames [10123407..11248230] (first utterance at frame 10123407), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:48: Starting minibatch loop.
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.14125061 * 10240; EvalClassificationError = 0.36748047 * 10240; time = 0.0507s; samplesPerSecond = 202044.1
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.15652409 * 10240; EvalClassificationError = 0.37539062 * 10240; time = 0.0486s; samplesPerSecond = 210803.7
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.15475864 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0481s; samplesPerSecond = 212956.2
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.14099655 * 10240; EvalClassificationError = 0.37089844 * 10240; time = 0.0480s; samplesPerSecond = 213213.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.16613960 * 10240; EvalClassificationError = 0.37119141 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.13733673 * 10240; EvalClassificationError = 0.35732422 * 10240; time = 0.0482s; samplesPerSecond = 212364.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.14765320 * 10240; EvalClassificationError = 0.36201172 * 10240; time = 0.0483s; samplesPerSecond = 211951.2
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.15255661 * 10240; EvalClassificationError = 0.37031250 * 10240; time = 0.0481s; samplesPerSecond = 213031.5
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.15752258 * 10240; EvalClassificationError = 0.36718750 * 10240; time = 0.0487s; samplesPerSecond = 210474.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.13752670 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0486s; samplesPerSecond = 210690.9
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.13181686 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0485s; samplesPerSecond = 211247.3
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.17823105 * 10240; EvalClassificationError = 0.37822266 * 10240; time = 0.0487s; samplesPerSecond = 210176.3
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.17369232 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0486s; samplesPerSecond = 210838.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.15498962 * 10240; EvalClassificationError = 0.36699219 * 10240; time = 0.0486s; samplesPerSecond = 210586.9
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.16786041 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0485s; samplesPerSecond = 211112.3
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.16788177 * 10240; EvalClassificationError = 0.37880859 * 10240; time = 0.0484s; samplesPerSecond = 211684.0
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.14049072 * 10240; EvalClassificationError = 0.36982422 * 10240; time = 0.0488s; samplesPerSecond = 209797.4
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.13699188 * 10240; EvalClassificationError = 0.36757812 * 10240; time = 0.0486s; samplesPerSecond = 210677.9
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.14866028 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0485s; samplesPerSecond = 211181.9
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.15802307 * 10240; EvalClassificationError = 0.37158203 * 10240; time = 0.0486s; samplesPerSecond = 210877.5
11/24/2016 20:15:49:  Epoch[10 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.16196747 * 10240; EvalClassificationError = 0.37099609 * 10240; time = 0.0488s; samplesPerSecond = 209741.5
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.17436371 * 10240; EvalClassificationError = 0.37734375 * 10240; time = 0.0487s; samplesPerSecond = 210167.7
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.16001587 * 10240; EvalClassificationError = 0.36953125 * 10240; time = 0.0484s; samplesPerSecond = 211382.4
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.15444641 * 10240; EvalClassificationError = 0.37070313 * 10240; time = 0.0479s; samplesPerSecond = 213885.9
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.16751404 * 10240; EvalClassificationError = 0.37412109 * 10240; time = 0.0479s; samplesPerSecond = 213689.5
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.15727844 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0482s; samplesPerSecond = 212558.4
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.15207520 * 10240; EvalClassificationError = 0.37099609 * 10240; time = 0.0478s; samplesPerSecond = 214127.4
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.14632568 * 10240; EvalClassificationError = 0.36796875 * 10240; time = 0.0478s; samplesPerSecond = 214082.6
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.16563110 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0480s; samplesPerSecond = 213266.7
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.16307983 * 10240; EvalClassificationError = 0.37314453 * 10240; time = 0.0481s; samplesPerSecond = 212925.2
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.13660583 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0480s; samplesPerSecond = 213373.3
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.18164062 * 10240; EvalClassificationError = 0.37500000 * 10240; time = 0.0481s; samplesPerSecond = 213075.9
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.17283325 * 10240; EvalClassificationError = 0.37597656 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.13798523 * 10240; EvalClassificationError = 0.36884766 * 10240; time = 0.0480s; samplesPerSecond = 213551.3
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.14685669 * 10240; EvalClassificationError = 0.36806641 * 10240; time = 0.0477s; samplesPerSecond = 214526.6
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.15919800 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0479s; samplesPerSecond = 213756.4
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.17532959 * 10240; EvalClassificationError = 0.37636719 * 10240; time = 0.0478s; samplesPerSecond = 214136.3
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.14533386 * 10240; EvalClassificationError = 0.36728516 * 10240; time = 0.0481s; samplesPerSecond = 213005.0
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.16560974 * 10240; EvalClassificationError = 0.37050781 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.16142883 * 10240; EvalClassificationError = 0.37626953 * 10240; time = 0.0481s; samplesPerSecond = 213075.9
11/24/2016 20:15:50:  Epoch[10 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.14651184 * 10240; EvalClassificationError = 0.36640625 * 10240; time = 0.0479s; samplesPerSecond = 213587.0
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.15583191 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0480s; samplesPerSecond = 213413.4
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.15164185 * 10240; EvalClassificationError = 0.36728516 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.15075378 * 10240; EvalClassificationError = 0.37216797 * 10240; time = 0.0482s; samplesPerSecond = 212338.0
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.13889771 * 10240; EvalClassificationError = 0.36777344 * 10240; time = 0.0481s; samplesPerSecond = 213053.7
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.13207397 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0479s; samplesPerSecond = 213863.5
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.16187134 * 10240; EvalClassificationError = 0.37949219 * 10240; time = 0.0478s; samplesPerSecond = 214450.3
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.16546021 * 10240; EvalClassificationError = 0.37187500 * 10240; time = 0.0478s; samplesPerSecond = 214311.1
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.17962036 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0478s; samplesPerSecond = 214373.9
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.14794312 * 10240; EvalClassificationError = 0.37089844 * 10240; time = 0.0480s; samplesPerSecond = 213524.6
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.15515747 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0480s; samplesPerSecond = 213346.7
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.16477051 * 10240; EvalClassificationError = 0.36914062 * 10240; time = 0.0478s; samplesPerSecond = 214055.8
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.13883057 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0477s; samplesPerSecond = 214558.1
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.17622070 * 10240; EvalClassificationError = 0.38095703 * 10240; time = 0.0478s; samplesPerSecond = 214011.0
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.15926514 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0480s; samplesPerSecond = 213449.0
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.14767456 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0478s; samplesPerSecond = 214279.7
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.18146362 * 10240; EvalClassificationError = 0.37617187 * 10240; time = 0.0479s; samplesPerSecond = 213604.8
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.17069092 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0479s; samplesPerSecond = 213689.5
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.16158447 * 10240; EvalClassificationError = 0.37138672 * 10240; time = 0.0480s; samplesPerSecond = 213538.0
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.16755981 * 10240; EvalClassificationError = 0.37587891 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.17583008 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0479s; samplesPerSecond = 213595.9
11/24/2016 20:15:51:  Epoch[10 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.13748779 * 10240; EvalClassificationError = 0.36445312 * 10240; time = 0.0479s; samplesPerSecond = 213908.2
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.16917114 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0479s; samplesPerSecond = 213671.6
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.18687744 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0478s; samplesPerSecond = 214149.8
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.15961914 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0481s; samplesPerSecond = 213106.9
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.14475098 * 10240; EvalClassificationError = 0.36757812 * 10240; time = 0.0478s; samplesPerSecond = 214338.0
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.16093140 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0478s; samplesPerSecond = 214418.8
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.16263428 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0479s; samplesPerSecond = 213872.5
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.15878296 * 10240; EvalClassificationError = 0.37929687 * 10240; time = 0.0479s; samplesPerSecond = 213738.5
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.13679199 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0478s; samplesPerSecond = 214199.1
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.15514526 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0480s; samplesPerSecond = 213217.8
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.13731689 * 10240; EvalClassificationError = 0.36337891 * 10240; time = 0.0478s; samplesPerSecond = 214087.1
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.16751099 * 10240; EvalClassificationError = 0.37617187 * 10240; time = 0.0481s; samplesPerSecond = 212969.5
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.15430908 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0480s; samplesPerSecond = 213471.2
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.16553955 * 10240; EvalClassificationError = 0.36416016 * 10240; time = 0.0479s; samplesPerSecond = 213778.7
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.16524048 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0480s; samplesPerSecond = 213502.4
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.15357056 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0479s; samplesPerSecond = 213689.5
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.17841187 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0480s; samplesPerSecond = 213431.2
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.14985962 * 10240; EvalClassificationError = 0.36914062 * 10240; time = 0.0478s; samplesPerSecond = 214158.7
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.16497803 * 10240; EvalClassificationError = 0.37197266 * 10240; time = 0.0479s; samplesPerSecond = 213649.4
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.16101685 * 10240; EvalClassificationError = 0.37666016 * 10240; time = 0.0477s; samplesPerSecond = 214846.2
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.17470703 * 10240; EvalClassificationError = 0.37470703 * 10240; time = 0.0480s; samplesPerSecond = 213551.3
11/24/2016 20:15:52:  Epoch[10 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.15775146 * 10240; EvalClassificationError = 0.36425781 * 10240; time = 0.0481s; samplesPerSecond = 212836.7
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.16523438 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0479s; samplesPerSecond = 213881.4
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.16368408 * 10240; EvalClassificationError = 0.36992188 * 10240; time = 0.0481s; samplesPerSecond = 213067.0
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.15303345 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0480s; samplesPerSecond = 213538.0
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.15230103 * 10240; EvalClassificationError = 0.36738281 * 10240; time = 0.0479s; samplesPerSecond = 213796.6
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.16660767 * 10240; EvalClassificationError = 0.37607422 * 10240; time = 0.0479s; samplesPerSecond = 213618.2
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.17548218 * 10240; EvalClassificationError = 0.37382813 * 10240; time = 0.0479s; samplesPerSecond = 213917.1
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.14768066 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0480s; samplesPerSecond = 213262.2
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.13172607 * 10240; EvalClassificationError = 0.35937500 * 10240; time = 0.0478s; samplesPerSecond = 214311.1
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.16795654 * 10240; EvalClassificationError = 0.37128906 * 10240; time = 0.0481s; samplesPerSecond = 212982.8
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.16838379 * 10240; EvalClassificationError = 0.36923828 * 10240; time = 0.0479s; samplesPerSecond = 213868.0
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.13941650 * 10240; EvalClassificationError = 0.36953125 * 10240; time = 0.0480s; samplesPerSecond = 213226.7
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.15386963 * 10240; EvalClassificationError = 0.37255859 * 10240; time = 0.0480s; samplesPerSecond = 213133.5
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.18592529 * 10240; EvalClassificationError = 0.37958984 * 10240; time = 0.0480s; samplesPerSecond = 213262.2
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.15861816 * 10240; EvalClassificationError = 0.37070313 * 10240; time = 0.0479s; samplesPerSecond = 213997.6
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.15701904 * 10240; EvalClassificationError = 0.37216797 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.16910400 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0480s; samplesPerSecond = 213235.6
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.13845215 * 10240; EvalClassificationError = 0.36279297 * 10240; time = 0.0478s; samplesPerSecond = 214082.6
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.14644775 * 10240; EvalClassificationError = 0.36718750 * 10240; time = 0.0479s; samplesPerSecond = 213760.9
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.17662354 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.14570313 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0479s; samplesPerSecond = 213948.4
11/24/2016 20:15:53:  Epoch[10 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.14707031 * 10240; EvalClassificationError = 0.36562500 * 10240; time = 0.0480s; samplesPerSecond = 213297.8
11/24/2016 20:15:54:  Epoch[10 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.13850098 * 10240; EvalClassificationError = 0.37158203 * 10240; time = 0.0479s; samplesPerSecond = 213725.2
11/24/2016 20:15:54:  Epoch[10 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.15090332 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0478s; samplesPerSecond = 214324.6
11/24/2016 20:15:54:  Epoch[10 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.14903564 * 10240; EvalClassificationError = 0.36855469 * 10240; time = 0.0479s; samplesPerSecond = 213702.9
11/24/2016 20:15:54:  Epoch[10 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.13746338 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:15:54:  Epoch[10 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.15556641 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0480s; samplesPerSecond = 213124.6
11/24/2016 20:15:54: Finished Epoch[10 of 25]: [Training] CrossEntropyWithSoftmax = 1.15697081 * 1124823; EvalClassificationError = 0.37055697 * 1124823; totalSamplesSeen = 11248230; learningRatePerSample = 0.003125; epochTime=5.46405s
11/24/2016 20:15:54: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.10'

11/24/2016 20:15:54: Starting Epoch 11: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 10: frames [11248230..12373053] (first utterance at frame 11248230), data subset 0 of 1, with 1 datapasses

11/24/2016 20:15:54: Starting minibatch loop.
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.12787533 * 10240; EvalClassificationError = 0.36503906 * 10240; time = 0.0508s; samplesPerSecond = 201689.9
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.13595524 * 10240; EvalClassificationError = 0.36582031 * 10240; time = 0.0486s; samplesPerSecond = 210877.5
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.10122261 * 10240; EvalClassificationError = 0.35332031 * 10240; time = 0.0484s; samplesPerSecond = 211504.7
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.13547134 * 10240; EvalClassificationError = 0.37011719 * 10240; time = 0.0485s; samplesPerSecond = 211090.5
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.13783264 * 10240; EvalClassificationError = 0.37275391 * 10240; time = 0.0483s; samplesPerSecond = 211876.7
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.13929405 * 10240; EvalClassificationError = 0.36826172 * 10240; time = 0.0485s; samplesPerSecond = 211129.7
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.13810349 * 10240; EvalClassificationError = 0.36953125 * 10240; time = 0.0483s; samplesPerSecond = 211885.4
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.11555099 * 10240; EvalClassificationError = 0.36181641 * 10240; time = 0.0485s; samplesPerSecond = 211186.3
11/24/2016 20:15:54:  Epoch[11 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.14068375 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0485s; samplesPerSecond = 211260.3
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.12587280 * 10240; EvalClassificationError = 0.35761719 * 10240; time = 0.0486s; samplesPerSecond = 210773.3
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.14181976 * 10240; EvalClassificationError = 0.36513672 * 10240; time = 0.0485s; samplesPerSecond = 211020.9
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.12686462 * 10240; EvalClassificationError = 0.36152344 * 10240; time = 0.0483s; samplesPerSecond = 211793.4
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.11737671 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0480s; samplesPerSecond = 213129.1
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.11976624 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0478s; samplesPerSecond = 214351.5
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.11013031 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.13560333 * 10240; EvalClassificationError = 0.35859375 * 10240; time = 0.0478s; samplesPerSecond = 214199.1
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.12059937 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.14483185 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0477s; samplesPerSecond = 214751.6
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.13085785 * 10240; EvalClassificationError = 0.35976562 * 10240; time = 0.0477s; samplesPerSecond = 214679.6
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.11979523 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0477s; samplesPerSecond = 214792.1
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.12286682 * 10240; EvalClassificationError = 0.36279297 * 10240; time = 0.0480s; samplesPerSecond = 213462.3
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.14071655 * 10240; EvalClassificationError = 0.36367187 * 10240; time = 0.0477s; samplesPerSecond = 214540.1
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.13336334 * 10240; EvalClassificationError = 0.36162109 * 10240; time = 0.0480s; samplesPerSecond = 213417.8
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.15424805 * 10240; EvalClassificationError = 0.36865234 * 10240; time = 0.0479s; samplesPerSecond = 213649.4
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.13435364 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0480s; samplesPerSecond = 213538.0
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.13282471 * 10240; EvalClassificationError = 0.36289063 * 10240; time = 0.0479s; samplesPerSecond = 213555.8
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.13412476 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.12574158 * 10240; EvalClassificationError = 0.36044922 * 10240; time = 0.0479s; samplesPerSecond = 213957.4
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.13864441 * 10240; EvalClassificationError = 0.37050781 * 10240; time = 0.0478s; samplesPerSecond = 214293.2
11/24/2016 20:15:55:  Epoch[11 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.12625427 * 10240; EvalClassificationError = 0.36132812 * 10240; time = 0.0476s; samplesPerSecond = 215017.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.12940979 * 10240; EvalClassificationError = 0.36474609 * 10240; time = 0.0478s; samplesPerSecond = 214006.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.14089966 * 10240; EvalClassificationError = 0.36298828 * 10240; time = 0.0482s; samplesPerSecond = 212518.7
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.14010620 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0480s; samplesPerSecond = 213195.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.16015625 * 10240; EvalClassificationError = 0.37138672 * 10240; time = 0.0479s; samplesPerSecond = 213627.1
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.13048096 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0479s; samplesPerSecond = 213613.7
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.12386169 * 10240; EvalClassificationError = 0.35957031 * 10240; time = 0.0479s; samplesPerSecond = 213796.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.12719116 * 10240; EvalClassificationError = 0.36142578 * 10240; time = 0.0479s; samplesPerSecond = 213926.1
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.13228760 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0479s; samplesPerSecond = 213555.8
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.12344055 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0478s; samplesPerSecond = 214140.8
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.12591858 * 10240; EvalClassificationError = 0.36191406 * 10240; time = 0.0479s; samplesPerSecond = 213702.9
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.15454712 * 10240; EvalClassificationError = 0.36308594 * 10240; time = 0.0479s; samplesPerSecond = 213613.7
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.09275208 * 10240; EvalClassificationError = 0.34501953 * 10240; time = 0.0479s; samplesPerSecond = 213685.0
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.13460388 * 10240; EvalClassificationError = 0.36738281 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.13298950 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0479s; samplesPerSecond = 213787.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.12648315 * 10240; EvalClassificationError = 0.36386719 * 10240; time = 0.0478s; samplesPerSecond = 214288.7
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.11333923 * 10240; EvalClassificationError = 0.35751953 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.14509888 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0480s; samplesPerSecond = 213484.6
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.14898682 * 10240; EvalClassificationError = 0.37773438 * 10240; time = 0.0480s; samplesPerSecond = 213391.1
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.14295654 * 10240; EvalClassificationError = 0.36650391 * 10240; time = 0.0478s; samplesPerSecond = 214055.8
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.10203247 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0478s; samplesPerSecond = 214122.9
11/24/2016 20:15:56:  Epoch[11 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.14343262 * 10240; EvalClassificationError = 0.36777344 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.11734009 * 10240; EvalClassificationError = 0.36210938 * 10240; time = 0.0479s; samplesPerSecond = 213801.0
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.12731323 * 10240; EvalClassificationError = 0.36298828 * 10240; time = 0.0477s; samplesPerSecond = 214513.2
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.14754028 * 10240; EvalClassificationError = 0.36650391 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.12009277 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0479s; samplesPerSecond = 213859.1
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.12708740 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0478s; samplesPerSecond = 214064.7
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.13988037 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0477s; samplesPerSecond = 214819.2
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.14509888 * 10240; EvalClassificationError = 0.36455078 * 10240; time = 0.0478s; samplesPerSecond = 214082.6
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.13218384 * 10240; EvalClassificationError = 0.36347656 * 10240; time = 0.0476s; samplesPerSecond = 215212.0
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.13981323 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0477s; samplesPerSecond = 214486.2
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.14132080 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0477s; samplesPerSecond = 214805.6
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.12587891 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0478s; samplesPerSecond = 214266.3
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.12649536 * 10240; EvalClassificationError = 0.36572266 * 10240; time = 0.0477s; samplesPerSecond = 214490.7
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.10128174 * 10240; EvalClassificationError = 0.35410156 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.12733154 * 10240; EvalClassificationError = 0.35878906 * 10240; time = 0.0482s; samplesPerSecond = 212554.0
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.12405396 * 10240; EvalClassificationError = 0.35800781 * 10240; time = 0.0487s; samplesPerSecond = 210478.7
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.13440552 * 10240; EvalClassificationError = 0.36640625 * 10240; time = 0.0484s; samplesPerSecond = 211369.4
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.13045044 * 10240; EvalClassificationError = 0.35976562 * 10240; time = 0.0486s; samplesPerSecond = 210677.9
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.12818604 * 10240; EvalClassificationError = 0.36376953 * 10240; time = 0.0486s; samplesPerSecond = 210734.3
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.11611328 * 10240; EvalClassificationError = 0.36103516 * 10240; time = 0.0484s; samplesPerSecond = 211500.3
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.13547974 * 10240; EvalClassificationError = 0.36992188 * 10240; time = 0.0485s; samplesPerSecond = 211195.0
11/24/2016 20:15:57:  Epoch[11 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.12996826 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0486s; samplesPerSecond = 210738.6
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.12885132 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0487s; samplesPerSecond = 210275.6
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.09672241 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0489s; samplesPerSecond = 209304.2
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.12279663 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0478s; samplesPerSecond = 214105.0
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.12131958 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.14642334 * 10240; EvalClassificationError = 0.36933594 * 10240; time = 0.0480s; samplesPerSecond = 213306.7
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.12477417 * 10240; EvalClassificationError = 0.36240234 * 10240; time = 0.0481s; samplesPerSecond = 212938.5
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.13748779 * 10240; EvalClassificationError = 0.36669922 * 10240; time = 0.0480s; samplesPerSecond = 213333.3
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.13958740 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0479s; samplesPerSecond = 213693.9
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.13864136 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0478s; samplesPerSecond = 214011.0
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.12514648 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0479s; samplesPerSecond = 213769.8
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.11444092 * 10240; EvalClassificationError = 0.35332031 * 10240; time = 0.0480s; samplesPerSecond = 213538.0
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.12286987 * 10240; EvalClassificationError = 0.36152344 * 10240; time = 0.0478s; samplesPerSecond = 214167.7
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.12453003 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0479s; samplesPerSecond = 213680.6
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.14738770 * 10240; EvalClassificationError = 0.36904297 * 10240; time = 0.0480s; samplesPerSecond = 213293.3
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.13069458 * 10240; EvalClassificationError = 0.35947266 * 10240; time = 0.0479s; samplesPerSecond = 213671.6
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.12841187 * 10240; EvalClassificationError = 0.35908203 * 10240; time = 0.0478s; samplesPerSecond = 214320.1
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.12993164 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0478s; samplesPerSecond = 214028.9
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.13118896 * 10240; EvalClassificationError = 0.35947266 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.14464111 * 10240; EvalClassificationError = 0.36962891 * 10240; time = 0.0478s; samplesPerSecond = 214096.1
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.11446533 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0477s; samplesPerSecond = 214765.1
11/24/2016 20:15:58:  Epoch[11 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.14139404 * 10240; EvalClassificationError = 0.37050781 * 10240; time = 0.0480s; samplesPerSecond = 213453.4
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.13107910 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0479s; samplesPerSecond = 213751.9
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.12819824 * 10240; EvalClassificationError = 0.36865234 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.13923340 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.12841797 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0477s; samplesPerSecond = 214774.1
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.14631348 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0480s; samplesPerSecond = 213248.9
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.13107910 * 10240; EvalClassificationError = 0.36367187 * 10240; time = 0.0479s; samplesPerSecond = 213560.2
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.13424072 * 10240; EvalClassificationError = 0.36054687 * 10240; time = 0.0481s; samplesPerSecond = 212810.2
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.11718750 * 10240; EvalClassificationError = 0.36494141 * 10240; time = 0.0481s; samplesPerSecond = 212911.9
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.14123535 * 10240; EvalClassificationError = 0.36484375 * 10240; time = 0.0485s; samplesPerSecond = 211251.6
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.15319824 * 10240; EvalClassificationError = 0.37226562 * 10240; time = 0.0486s; samplesPerSecond = 210769.0
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.12861328 * 10240; EvalClassificationError = 0.36142578 * 10240; time = 0.0486s; samplesPerSecond = 210821.0
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.13642578 * 10240; EvalClassificationError = 0.36494141 * 10240; time = 0.0484s; samplesPerSecond = 211447.9
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.13370361 * 10240; EvalClassificationError = 0.36826172 * 10240; time = 0.0485s; samplesPerSecond = 211086.1
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.11440430 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0485s; samplesPerSecond = 211125.3
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.13266602 * 10240; EvalClassificationError = 0.36181641 * 10240; time = 0.0487s; samplesPerSecond = 210202.2
11/24/2016 20:15:59:  Epoch[11 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.11759033 * 10240; EvalClassificationError = 0.35722656 * 10240; time = 0.0486s; samplesPerSecond = 210803.7
11/24/2016 20:15:59: Finished Epoch[11 of 25]: [Training] CrossEntropyWithSoftmax = 1.13048308 * 1124823; EvalClassificationError = 0.36353275 * 1124823; totalSamplesSeen = 12373053; learningRatePerSample = 0.003125; epochTime=5.46313s
11/24/2016 20:15:59: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.11'

11/24/2016 20:15:59: Starting Epoch 12: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 11: frames [12373053..13497876] (first utterance at frame 12373053), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:00: Starting minibatch loop.
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.11819191 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0503s; samplesPerSecond = 203781.1
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.10932045 * 10240; EvalClassificationError = 0.36044922 * 10240; time = 0.0479s; samplesPerSecond = 213890.3
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.09396477 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0480s; samplesPerSecond = 213449.0
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.09783440 * 10240; EvalClassificationError = 0.35683594 * 10240; time = 0.0479s; samplesPerSecond = 213805.5
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.08705215 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0479s; samplesPerSecond = 213649.4
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.09701920 * 10240; EvalClassificationError = 0.35419922 * 10240; time = 0.0480s; samplesPerSecond = 213426.7
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.10626526 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0477s; samplesPerSecond = 214589.6
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.09506531 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0480s; samplesPerSecond = 213266.7
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.11374130 * 10240; EvalClassificationError = 0.36191406 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.09237823 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0480s; samplesPerSecond = 213484.6
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.10450974 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0479s; samplesPerSecond = 213716.2
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.07141266 * 10240; EvalClassificationError = 0.34736328 * 10240; time = 0.0479s; samplesPerSecond = 213979.7
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.07994995 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.12402649 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0479s; samplesPerSecond = 213939.5
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.08730774 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0477s; samplesPerSecond = 214828.2
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.10249634 * 10240; EvalClassificationError = 0.35625000 * 10240; time = 0.0480s; samplesPerSecond = 213253.4
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.09555817 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0480s; samplesPerSecond = 213502.4
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.13144073 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0478s; samplesPerSecond = 214028.9
11/24/2016 20:16:00:  Epoch[12 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07709808 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.11270294 * 10240; EvalClassificationError = 0.35683594 * 10240; time = 0.0478s; samplesPerSecond = 214069.2
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.07960205 * 10240; EvalClassificationError = 0.34511719 * 10240; time = 0.0479s; samplesPerSecond = 213658.3
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.10350494 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0481s; samplesPerSecond = 212978.4
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.12135773 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0479s; samplesPerSecond = 213957.4
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.09817810 * 10240; EvalClassificationError = 0.35419922 * 10240; time = 0.0478s; samplesPerSecond = 214024.5
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.10344543 * 10240; EvalClassificationError = 0.35488281 * 10240; time = 0.0480s; samplesPerSecond = 213333.3
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.10315857 * 10240; EvalClassificationError = 0.35263672 * 10240; time = 0.0478s; samplesPerSecond = 214163.2
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.09870300 * 10240; EvalClassificationError = 0.35429688 * 10240; time = 0.0479s; samplesPerSecond = 213903.7
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.10561523 * 10240; EvalClassificationError = 0.36328125 * 10240; time = 0.0479s; samplesPerSecond = 213725.2
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.11909790 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.10688477 * 10240; EvalClassificationError = 0.35546875 * 10240; time = 0.0480s; samplesPerSecond = 213248.9
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.10443420 * 10240; EvalClassificationError = 0.35507813 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.12293091 * 10240; EvalClassificationError = 0.36132812 * 10240; time = 0.0478s; samplesPerSecond = 214284.2
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.12264404 * 10240; EvalClassificationError = 0.35634766 * 10240; time = 0.0478s; samplesPerSecond = 214297.7
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.08894958 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0478s; samplesPerSecond = 214114.0
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.12431030 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0480s; samplesPerSecond = 213133.5
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.11043396 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0480s; samplesPerSecond = 213271.1
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.10750732 * 10240; EvalClassificationError = 0.35468750 * 10240; time = 0.0479s; samplesPerSecond = 213729.6
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.10350342 * 10240; EvalClassificationError = 0.35839844 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.14833679 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0483s; samplesPerSecond = 211885.4
11/24/2016 20:16:01:  Epoch[12 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.06611633 * 10240; EvalClassificationError = 0.34814453 * 10240; time = 0.0477s; samplesPerSecond = 214792.1
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.09467468 * 10240; EvalClassificationError = 0.35263672 * 10240; time = 0.0479s; samplesPerSecond = 213627.1
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.10283508 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0478s; samplesPerSecond = 214073.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.10613098 * 10240; EvalClassificationError = 0.36289063 * 10240; time = 0.0479s; samplesPerSecond = 213662.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.09016113 * 10240; EvalClassificationError = 0.35849609 * 10240; time = 0.0480s; samplesPerSecond = 213293.3
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.09602966 * 10240; EvalClassificationError = 0.35722656 * 10240; time = 0.0480s; samplesPerSecond = 213480.1
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.11268311 * 10240; EvalClassificationError = 0.36074219 * 10240; time = 0.0479s; samplesPerSecond = 213640.4
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.12120056 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0478s; samplesPerSecond = 214176.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.10816650 * 10240; EvalClassificationError = 0.35986328 * 10240; time = 0.0480s; samplesPerSecond = 213222.3
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.12464600 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0479s; samplesPerSecond = 213636.0
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.11640625 * 10240; EvalClassificationError = 0.36005859 * 10240; time = 0.0480s; samplesPerSecond = 213493.5
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.11527100 * 10240; EvalClassificationError = 0.35927734 * 10240; time = 0.0480s; samplesPerSecond = 213404.5
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.10711060 * 10240; EvalClassificationError = 0.36171875 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.10991211 * 10240; EvalClassificationError = 0.35468750 * 10240; time = 0.0478s; samplesPerSecond = 214167.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.10650024 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0480s; samplesPerSecond = 213529.1
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.11833496 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0479s; samplesPerSecond = 213832.3
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08958130 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0479s; samplesPerSecond = 213979.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.08806152 * 10240; EvalClassificationError = 0.34902344 * 10240; time = 0.0477s; samplesPerSecond = 214864.2
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.10759888 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0478s; samplesPerSecond = 214418.8
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.10222778 * 10240; EvalClassificationError = 0.35380859 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.09812622 * 10240; EvalClassificationError = 0.35234375 * 10240; time = 0.0477s; samplesPerSecond = 214463.7
11/24/2016 20:16:02:  Epoch[12 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.10987549 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0480s; samplesPerSecond = 213191.2
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.11381226 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0477s; samplesPerSecond = 214522.1
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.09069214 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0479s; samplesPerSecond = 213685.0
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.07846680 * 10240; EvalClassificationError = 0.34560547 * 10240; time = 0.0480s; samplesPerSecond = 213186.8
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.10598145 * 10240; EvalClassificationError = 0.35400391 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.09364624 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0477s; samplesPerSecond = 214522.1
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.09372559 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0480s; samplesPerSecond = 213386.7
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.11109009 * 10240; EvalClassificationError = 0.35791016 * 10240; time = 0.0478s; samplesPerSecond = 214051.3
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.09660645 * 10240; EvalClassificationError = 0.35214844 * 10240; time = 0.0478s; samplesPerSecond = 214181.1
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.09437866 * 10240; EvalClassificationError = 0.35673828 * 10240; time = 0.0479s; samplesPerSecond = 213658.3
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.11589355 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0480s; samplesPerSecond = 213506.8
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.10570679 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0477s; samplesPerSecond = 214652.6
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.09699097 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.11431274 * 10240; EvalClassificationError = 0.35537109 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.12254028 * 10240; EvalClassificationError = 0.35751953 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.11280518 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.09443359 * 10240; EvalClassificationError = 0.35869141 * 10240; time = 0.0480s; samplesPerSecond = 213342.2
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.11126709 * 10240; EvalClassificationError = 0.35449219 * 10240; time = 0.0480s; samplesPerSecond = 213271.1
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.10875244 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0479s; samplesPerSecond = 213885.9
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.10668335 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0478s; samplesPerSecond = 214136.3
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.12531738 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0479s; samplesPerSecond = 213734.1
11/24/2016 20:16:03:  Epoch[12 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.10348511 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0479s; samplesPerSecond = 213908.2
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.10030518 * 10240; EvalClassificationError = 0.35449219 * 10240; time = 0.0479s; samplesPerSecond = 213876.9
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.11469727 * 10240; EvalClassificationError = 0.35771484 * 10240; time = 0.0478s; samplesPerSecond = 214266.3
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.10128784 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0478s; samplesPerSecond = 214020.0
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.10336304 * 10240; EvalClassificationError = 0.35488281 * 10240; time = 0.0479s; samplesPerSecond = 213810.0
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.12546387 * 10240; EvalClassificationError = 0.36064453 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.11594849 * 10240; EvalClassificationError = 0.35546875 * 10240; time = 0.0482s; samplesPerSecond = 212523.1
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.13076782 * 10240; EvalClassificationError = 0.36171875 * 10240; time = 0.0484s; samplesPerSecond = 211544.0
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.11342163 * 10240; EvalClassificationError = 0.35175781 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.11456299 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0486s; samplesPerSecond = 210504.7
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.10192871 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0486s; samplesPerSecond = 210786.3
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.10733643 * 10240; EvalClassificationError = 0.35253906 * 10240; time = 0.0484s; samplesPerSecond = 211535.3
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.10335693 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0485s; samplesPerSecond = 211012.2
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.10902100 * 10240; EvalClassificationError = 0.35830078 * 10240; time = 0.0485s; samplesPerSecond = 211020.9
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.11013184 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0485s; samplesPerSecond = 211129.7
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.10681152 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0484s; samplesPerSecond = 211426.1
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.11088867 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0487s; samplesPerSecond = 210413.8
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.10085449 * 10240; EvalClassificationError = 0.35576172 * 10240; time = 0.0487s; samplesPerSecond = 210077.1
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.12332764 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0487s; samplesPerSecond = 210379.3
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.12030029 * 10240; EvalClassificationError = 0.35742188 * 10240; time = 0.0486s; samplesPerSecond = 210591.3
11/24/2016 20:16:04:  Epoch[12 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.10532227 * 10240; EvalClassificationError = 0.35771484 * 10240; time = 0.0485s; samplesPerSecond = 211081.8
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.08306885 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0484s; samplesPerSecond = 211570.2
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.10643311 * 10240; EvalClassificationError = 0.35703125 * 10240; time = 0.0485s; samplesPerSecond = 211099.2
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.10080566 * 10240; EvalClassificationError = 0.35712891 * 10240; time = 0.0481s; samplesPerSecond = 212823.4
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.10026855 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0479s; samplesPerSecond = 213636.0
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.09278564 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.09715576 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0477s; samplesPerSecond = 214787.6
11/24/2016 20:16:05:  Epoch[12 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.12724609 * 10240; EvalClassificationError = 0.36513672 * 10240; time = 0.0478s; samplesPerSecond = 214181.1
11/24/2016 20:16:05: Finished Epoch[12 of 25]: [Training] CrossEntropyWithSoftmax = 1.10551360 * 1124823; EvalClassificationError = 0.35575286 * 1124823; totalSamplesSeen = 13497876; learningRatePerSample = 0.003125; epochTime=5.45723s
11/24/2016 20:16:05: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.12'

11/24/2016 20:16:05: Starting Epoch 13: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 12: frames [13497876..14622699] (first utterance at frame 13497876), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:05: Starting minibatch loop.
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.09868574 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0503s; samplesPerSecond = 203764.9
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.07397242 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0477s; samplesPerSecond = 214706.6
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.05686378 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.07664719 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0478s; samplesPerSecond = 214172.2
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.07388802 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0479s; samplesPerSecond = 213970.8
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.11158104 * 10240; EvalClassificationError = 0.35537109 * 10240; time = 0.0477s; samplesPerSecond = 214742.6
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.07500381 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0478s; samplesPerSecond = 214212.5
11/24/2016 20:16:05:  Epoch[13 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.07929840 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0478s; samplesPerSecond = 214064.7
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.08591919 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0478s; samplesPerSecond = 214118.4
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.09033356 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0479s; samplesPerSecond = 213854.6
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.06601334 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.08043823 * 10240; EvalClassificationError = 0.35634766 * 10240; time = 0.0479s; samplesPerSecond = 213872.5
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.06499481 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0477s; samplesPerSecond = 214796.6
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.08747864 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0479s; samplesPerSecond = 213805.5
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.06309509 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0479s; samplesPerSecond = 213930.6
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.09751434 * 10240; EvalClassificationError = 0.35546875 * 10240; time = 0.0479s; samplesPerSecond = 213609.2
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.09938354 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0479s; samplesPerSecond = 213587.0
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.09258881 * 10240; EvalClassificationError = 0.35458984 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07914276 * 10240; EvalClassificationError = 0.35029297 * 10240; time = 0.0552s; samplesPerSecond = 185346.1
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.09759369 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0552s; samplesPerSecond = 185490.4
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.09475708 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0552s; samplesPerSecond = 185497.2
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.08771210 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0551s; samplesPerSecond = 185897.9
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.09038849 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0541s; samplesPerSecond = 189251.1
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.09987488 * 10240; EvalClassificationError = 0.35361328 * 10240; time = 0.0489s; samplesPerSecond = 209231.5
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.07632446 * 10240; EvalClassificationError = 0.35000000 * 10240; time = 0.0491s; samplesPerSecond = 208346.0
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.06899719 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0489s; samplesPerSecond = 209218.7
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.08438721 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0489s; samplesPerSecond = 209265.7
11/24/2016 20:16:06:  Epoch[13 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.07569885 * 10240; EvalClassificationError = 0.35078125 * 10240; time = 0.0488s; samplesPerSecond = 209806.0
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.08956909 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0488s; samplesPerSecond = 209672.8
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.10158691 * 10240; EvalClassificationError = 0.35791016 * 10240; time = 0.0491s; samplesPerSecond = 208630.5
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.06658630 * 10240; EvalClassificationError = 0.34804687 * 10240; time = 0.0508s; samplesPerSecond = 201630.4
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.04451294 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0504s; samplesPerSecond = 203251.2
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.06489563 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0518s; samplesPerSecond = 197851.5
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.08598633 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0494s; samplesPerSecond = 207178.4
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.09259949 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0491s; samplesPerSecond = 208477.5
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.07916565 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0490s; samplesPerSecond = 208804.9
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.08185730 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0490s; samplesPerSecond = 209116.2
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.09451599 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0489s; samplesPerSecond = 209342.7
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.06523132 * 10240; EvalClassificationError = 0.34365234 * 10240; time = 0.0490s; samplesPerSecond = 209005.2
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.08091736 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0489s; samplesPerSecond = 209552.7
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.08467712 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0490s; samplesPerSecond = 208979.6
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.09559631 * 10240; EvalClassificationError = 0.35175781 * 10240; time = 0.0490s; samplesPerSecond = 208983.9
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.09147034 * 10240; EvalClassificationError = 0.36103516 * 10240; time = 0.0490s; samplesPerSecond = 209030.8
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.07996826 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0489s; samplesPerSecond = 209223.0
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.07559814 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0489s; samplesPerSecond = 209201.6
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.09710388 * 10240; EvalClassificationError = 0.34931641 * 10240; time = 0.0491s; samplesPerSecond = 208647.5
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.08118591 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0488s; samplesPerSecond = 209754.4
11/24/2016 20:16:07:  Epoch[13 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.06513977 * 10240; EvalClassificationError = 0.34228516 * 10240; time = 0.0491s; samplesPerSecond = 208762.3
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.07985840 * 10240; EvalClassificationError = 0.34550781 * 10240; time = 0.0488s; samplesPerSecond = 209763.0
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.08823853 * 10240; EvalClassificationError = 0.35937500 * 10240; time = 0.0488s; samplesPerSecond = 209913.5
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.06304932 * 10240; EvalClassificationError = 0.33837891 * 10240; time = 0.0502s; samplesPerSecond = 203854.1
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.08803101 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0491s; samplesPerSecond = 208715.5
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.07850342 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0488s; samplesPerSecond = 209754.4
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.08442993 * 10240; EvalClassificationError = 0.35058594 * 10240; time = 0.0488s; samplesPerSecond = 209629.9
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.07058105 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0487s; samplesPerSecond = 210362.0
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08513184 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0487s; samplesPerSecond = 210172.0
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.09181519 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0487s; samplesPerSecond = 210176.3
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.09274902 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0490s; samplesPerSecond = 209013.7
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.09415894 * 10240; EvalClassificationError = 0.35058594 * 10240; time = 0.0488s; samplesPerSecond = 209745.8
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.07747192 * 10240; EvalClassificationError = 0.35048828 * 10240; time = 0.0487s; samplesPerSecond = 210202.2
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.06714478 * 10240; EvalClassificationError = 0.34355469 * 10240; time = 0.0489s; samplesPerSecond = 209424.1
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.05620728 * 10240; EvalClassificationError = 0.34150391 * 10240; time = 0.0489s; samplesPerSecond = 209415.5
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.10271606 * 10240; EvalClassificationError = 0.35673828 * 10240; time = 0.0487s; samplesPerSecond = 210064.2
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.07136230 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0489s; samplesPerSecond = 209240.1
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.08623657 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0487s; samplesPerSecond = 210223.8
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.08641968 * 10240; EvalClassificationError = 0.34980469 * 10240; time = 0.0543s; samplesPerSecond = 188665.3
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.08896484 * 10240; EvalClassificationError = 0.35615234 * 10240; time = 0.0558s; samplesPerSecond = 183522.4
11/24/2016 20:16:08:  Epoch[13 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.08604736 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0547s; samplesPerSecond = 187073.0
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.10610352 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0543s; samplesPerSecond = 188727.9
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.08687744 * 10240; EvalClassificationError = 0.34648438 * 10240; time = 0.0544s; samplesPerSecond = 188083.2
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.08361206 * 10240; EvalClassificationError = 0.34863281 * 10240; time = 0.0562s; samplesPerSecond = 182355.7
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.09737549 * 10240; EvalClassificationError = 0.35087891 * 10240; time = 0.0547s; samplesPerSecond = 187093.5
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.06643066 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0559s; samplesPerSecond = 183148.2
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.06074829 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0594s; samplesPerSecond = 172350.0
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.08693848 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0590s; samplesPerSecond = 173574.0
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.08187256 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0563s; samplesPerSecond = 181785.9
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.08464966 * 10240; EvalClassificationError = 0.34980469 * 10240; time = 0.0545s; samplesPerSecond = 187993.4
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.06139526 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0551s; samplesPerSecond = 185881.0
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.06779785 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0549s; samplesPerSecond = 186412.3
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.07227173 * 10240; EvalClassificationError = 0.34306641 * 10240; time = 0.0547s; samplesPerSecond = 187196.1
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.07650146 * 10240; EvalClassificationError = 0.34482422 * 10240; time = 0.0548s; samplesPerSecond = 187028.5
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.07715454 * 10240; EvalClassificationError = 0.34843750 * 10240; time = 0.0542s; samplesPerSecond = 188926.4
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.09932861 * 10240; EvalClassificationError = 0.35693359 * 10240; time = 0.0542s; samplesPerSecond = 188842.8
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.10012207 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0541s; samplesPerSecond = 189139.3
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.07364502 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0547s; samplesPerSecond = 187144.8
11/24/2016 20:16:09:  Epoch[13 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.07471924 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0545s; samplesPerSecond = 187776.2
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.08760376 * 10240; EvalClassificationError = 0.35126953 * 10240; time = 0.0543s; samplesPerSecond = 188700.1
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.07383423 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0543s; samplesPerSecond = 188422.3
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.09271851 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0572s; samplesPerSecond = 179017.8
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.09339600 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0552s; samplesPerSecond = 185638.4
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.08151855 * 10240; EvalClassificationError = 0.35019531 * 10240; time = 0.0546s; samplesPerSecond = 187432.5
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.05585327 * 10240; EvalClassificationError = 0.33818359 * 10240; time = 0.0550s; samplesPerSecond = 186188.6
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.10103760 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0548s; samplesPerSecond = 186970.5
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.10353394 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0544s; samplesPerSecond = 188263.0
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.08775635 * 10240; EvalClassificationError = 0.35478516 * 10240; time = 0.0546s; samplesPerSecond = 187707.4
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.08374023 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0544s; samplesPerSecond = 188394.6
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.09311523 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0545s; samplesPerSecond = 187803.8
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.06612549 * 10240; EvalClassificationError = 0.35087891 * 10240; time = 0.0547s; samplesPerSecond = 187333.1
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.12032471 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0543s; samplesPerSecond = 188585.4
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.08055420 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0542s; samplesPerSecond = 188783.6
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.07695312 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0544s; samplesPerSecond = 188273.4
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.06606445 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0542s; samplesPerSecond = 189090.4
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.10931396 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0544s; samplesPerSecond = 188221.5
11/24/2016 20:16:10:  Epoch[13 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.08150635 * 10240; EvalClassificationError = 0.34804687 * 10240; time = 0.0542s; samplesPerSecond = 189013.6
11/24/2016 20:16:11:  Epoch[13 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.08780518 * 10240; EvalClassificationError = 0.35146484 * 10240; time = 0.0537s; samplesPerSecond = 190749.4
11/24/2016 20:16:11:  Epoch[13 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.09427490 * 10240; EvalClassificationError = 0.34951172 * 10240; time = 0.0536s; samplesPerSecond = 190905.9
11/24/2016 20:16:11:  Epoch[13 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.11091309 * 10240; EvalClassificationError = 0.35205078 * 10240; time = 0.0563s; samplesPerSecond = 181966.8
11/24/2016 20:16:11:  Epoch[13 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.09267578 * 10240; EvalClassificationError = 0.35595703 * 10240; time = 0.0545s; samplesPerSecond = 187765.9
11/24/2016 20:16:11:  Epoch[13 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.07067871 * 10240; EvalClassificationError = 0.34716797 * 10240; time = 0.0551s; samplesPerSecond = 185699.0
11/24/2016 20:16:11: Finished Epoch[13 of 25]: [Training] CrossEntropyWithSoftmax = 1.08324465 * 1124823; EvalClassificationError = 0.34997773 * 1124823; totalSamplesSeen = 14622699; learningRatePerSample = 0.003125; epochTime=5.85182s
11/24/2016 20:16:11: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.13'

11/24/2016 20:16:11: Starting Epoch 14: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 13: frames [14622699..15747522] (first utterance at frame 14622699), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:11: Starting minibatch loop.
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.04421759 * 10240; EvalClassificationError = 0.34101562 * 10240; time = 0.0510s; samplesPerSecond = 200741.0
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.06042395 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0488s; samplesPerSecond = 209874.8
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.04759789 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0487s; samplesPerSecond = 210059.9
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.03804607 * 10240; EvalClassificationError = 0.33876953 * 10240; time = 0.0489s; samplesPerSecond = 209509.8
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04205780 * 10240; EvalClassificationError = 0.33798828 * 10240; time = 0.0487s; samplesPerSecond = 210366.3
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.05733185 * 10240; EvalClassificationError = 0.34062500 * 10240; time = 0.0486s; samplesPerSecond = 210834.1
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.04683838 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0488s; samplesPerSecond = 209960.8
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.04753265 * 10240; EvalClassificationError = 0.33935547 * 10240; time = 0.0486s; samplesPerSecond = 210535.0
11/24/2016 20:16:11:  Epoch[14 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.03141937 * 10240; EvalClassificationError = 0.33242187 * 10240; time = 0.0486s; samplesPerSecond = 210777.7
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.04878311 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0484s; samplesPerSecond = 211395.5
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.07948456 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0487s; samplesPerSecond = 210439.8
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.06675034 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0500s; samplesPerSecond = 204988.6
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.04079971 * 10240; EvalClassificationError = 0.34326172 * 10240; time = 0.0489s; samplesPerSecond = 209223.0
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.05094910 * 10240; EvalClassificationError = 0.34609375 * 10240; time = 0.0484s; samplesPerSecond = 211535.3
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.04351044 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0493s; samplesPerSecond = 207644.7
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.05936279 * 10240; EvalClassificationError = 0.34765625 * 10240; time = 0.0487s; samplesPerSecond = 210374.9
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.05218353 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0487s; samplesPerSecond = 210331.7
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.06531372 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0489s; samplesPerSecond = 209612.7
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07295837 * 10240; EvalClassificationError = 0.35146484 * 10240; time = 0.0488s; samplesPerSecond = 209720.0
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.05583496 * 10240; EvalClassificationError = 0.33916016 * 10240; time = 0.0487s; samplesPerSecond = 210457.1
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.04138184 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0486s; samplesPerSecond = 210712.6
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.02825470 * 10240; EvalClassificationError = 0.34179688 * 10240; time = 0.0486s; samplesPerSecond = 210634.6
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.04482727 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0487s; samplesPerSecond = 210120.2
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.04187469 * 10240; EvalClassificationError = 0.33457031 * 10240; time = 0.0487s; samplesPerSecond = 210284.2
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.07632294 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0487s; samplesPerSecond = 210318.8
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.06567383 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0486s; samplesPerSecond = 210582.6
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.07025757 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0485s; samplesPerSecond = 211221.1
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.04342346 * 10240; EvalClassificationError = 0.33652344 * 10240; time = 0.0486s; samplesPerSecond = 210903.5
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.06103210 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0485s; samplesPerSecond = 210955.7
11/24/2016 20:16:12:  Epoch[14 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.04776611 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0491s; samplesPerSecond = 208643.2
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.07929077 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0487s; samplesPerSecond = 210301.5
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.06811523 * 10240; EvalClassificationError = 0.35107422 * 10240; time = 0.0495s; samplesPerSecond = 206814.4
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.06586304 * 10240; EvalClassificationError = 0.34560547 * 10240; time = 0.0496s; samplesPerSecond = 206605.7
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.06608276 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0503s; samplesPerSecond = 203777.0
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.04970398 * 10240; EvalClassificationError = 0.33886719 * 10240; time = 0.0486s; samplesPerSecond = 210873.1
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.08043213 * 10240; EvalClassificationError = 0.34638672 * 10240; time = 0.0486s; samplesPerSecond = 210664.9
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.04772949 * 10240; EvalClassificationError = 0.33593750 * 10240; time = 0.0485s; samplesPerSecond = 211064.4
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.05344543 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0485s; samplesPerSecond = 210981.8
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.04683228 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0488s; samplesPerSecond = 209814.6
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.05659180 * 10240; EvalClassificationError = 0.34531250 * 10240; time = 0.0486s; samplesPerSecond = 210764.6
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.04675903 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0485s; samplesPerSecond = 210964.4
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.06065979 * 10240; EvalClassificationError = 0.34150391 * 10240; time = 0.0487s; samplesPerSecond = 210461.4
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.06184998 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0485s; samplesPerSecond = 211208.1
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.06382751 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0486s; samplesPerSecond = 210599.9
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.05575867 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0485s; samplesPerSecond = 210929.6
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.05931091 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0485s; samplesPerSecond = 211129.7
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.04255066 * 10240; EvalClassificationError = 0.34101562 * 10240; time = 0.0486s; samplesPerSecond = 210522.0
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.05504761 * 10240; EvalClassificationError = 0.34140625 * 10240; time = 0.0488s; samplesPerSecond = 209978.1
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.06068115 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0486s; samplesPerSecond = 210608.6
11/24/2016 20:16:13:  Epoch[14 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.06984253 * 10240; EvalClassificationError = 0.34541016 * 10240; time = 0.0486s; samplesPerSecond = 210573.9
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.06416016 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0488s; samplesPerSecond = 210008.2
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.06230469 * 10240; EvalClassificationError = 0.34111328 * 10240; time = 0.0484s; samplesPerSecond = 211662.1
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.06325684 * 10240; EvalClassificationError = 0.34326172 * 10240; time = 0.0499s; samplesPerSecond = 205280.4
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.07460327 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0487s; samplesPerSecond = 210215.1
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.06474609 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0488s; samplesPerSecond = 209956.5
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08442993 * 10240; EvalClassificationError = 0.35117188 * 10240; time = 0.0519s; samplesPerSecond = 197310.1
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.07612305 * 10240; EvalClassificationError = 0.34951172 * 10240; time = 0.0524s; samplesPerSecond = 195404.9
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.07788696 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0519s; samplesPerSecond = 197378.6
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.05217285 * 10240; EvalClassificationError = 0.34501953 * 10240; time = 0.0490s; samplesPerSecond = 208911.4
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.07896729 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0488s; samplesPerSecond = 210051.3
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.07768555 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0485s; samplesPerSecond = 211195.0
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.07850342 * 10240; EvalClassificationError = 0.35302734 * 10240; time = 0.0486s; samplesPerSecond = 210582.6
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.05886841 * 10240; EvalClassificationError = 0.34091797 * 10240; time = 0.0485s; samplesPerSecond = 210960.0
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.04400635 * 10240; EvalClassificationError = 0.34082031 * 10240; time = 0.0486s; samplesPerSecond = 210729.9
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.07420654 * 10240; EvalClassificationError = 0.34980469 * 10240; time = 0.0487s; samplesPerSecond = 210254.0
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.07609863 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0485s; samplesPerSecond = 211060.0
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.07639771 * 10240; EvalClassificationError = 0.34755859 * 10240; time = 0.0485s; samplesPerSecond = 211277.8
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.06004639 * 10240; EvalClassificationError = 0.34345703 * 10240; time = 0.0489s; samplesPerSecond = 209347.0
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.06119385 * 10240; EvalClassificationError = 0.34248047 * 10240; time = 0.0486s; samplesPerSecond = 210608.6
11/24/2016 20:16:14:  Epoch[14 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.07449341 * 10240; EvalClassificationError = 0.34960938 * 10240; time = 0.0488s; samplesPerSecond = 210008.2
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.05432129 * 10240; EvalClassificationError = 0.34150391 * 10240; time = 0.0488s; samplesPerSecond = 209647.0
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.07545776 * 10240; EvalClassificationError = 0.35039063 * 10240; time = 0.0488s; samplesPerSecond = 210038.4
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.06122437 * 10240; EvalClassificationError = 0.33740234 * 10240; time = 0.0498s; samplesPerSecond = 205701.0
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.04970093 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0489s; samplesPerSecond = 209617.0
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.06422119 * 10240; EvalClassificationError = 0.34179688 * 10240; time = 0.0488s; samplesPerSecond = 209827.5
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.08308716 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0484s; samplesPerSecond = 211517.8
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.07770386 * 10240; EvalClassificationError = 0.34726563 * 10240; time = 0.0486s; samplesPerSecond = 210777.7
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.06263428 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.08054810 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0487s; samplesPerSecond = 210297.2
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.07432251 * 10240; EvalClassificationError = 0.34833984 * 10240; time = 0.0484s; samplesPerSecond = 211509.1
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.06756592 * 10240; EvalClassificationError = 0.34648438 * 10240; time = 0.0485s; samplesPerSecond = 211216.8
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.07390137 * 10240; EvalClassificationError = 0.35039063 * 10240; time = 0.0484s; samplesPerSecond = 211609.6
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.06070557 * 10240; EvalClassificationError = 0.34716797 * 10240; time = 0.0485s; samplesPerSecond = 210947.0
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.07225952 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0489s; samplesPerSecond = 209612.7
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.06416626 * 10240; EvalClassificationError = 0.33798828 * 10240; time = 0.0486s; samplesPerSecond = 210786.3
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.06503906 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0486s; samplesPerSecond = 210894.9
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.04417725 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0485s; samplesPerSecond = 211094.8
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.06212769 * 10240; EvalClassificationError = 0.34326172 * 10240; time = 0.0485s; samplesPerSecond = 211234.2
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.05202026 * 10240; EvalClassificationError = 0.33730469 * 10240; time = 0.0486s; samplesPerSecond = 210907.9
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.05086670 * 10240; EvalClassificationError = 0.33974609 * 10240; time = 0.0485s; samplesPerSecond = 211016.5
11/24/2016 20:16:15:  Epoch[14 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.07122803 * 10240; EvalClassificationError = 0.34423828 * 10240; time = 0.0485s; samplesPerSecond = 211155.8
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.07167969 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0486s; samplesPerSecond = 210582.6
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.07037354 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0486s; samplesPerSecond = 210912.2
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.07301025 * 10240; EvalClassificationError = 0.34414062 * 10240; time = 0.0498s; samplesPerSecond = 205585.3
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.07435303 * 10240; EvalClassificationError = 0.34511719 * 10240; time = 0.0485s; samplesPerSecond = 211155.8
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.06434937 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0484s; samplesPerSecond = 211447.9
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.08343506 * 10240; EvalClassificationError = 0.34990234 * 10240; time = 0.0488s; samplesPerSecond = 209973.8
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.06470947 * 10240; EvalClassificationError = 0.34570312 * 10240; time = 0.0485s; samplesPerSecond = 211012.2
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.05629883 * 10240; EvalClassificationError = 0.34570312 * 10240; time = 0.0486s; samplesPerSecond = 210825.4
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.06744385 * 10240; EvalClassificationError = 0.34492187 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.08469238 * 10240; EvalClassificationError = 0.34931641 * 10240; time = 0.0489s; samplesPerSecond = 209359.9
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.07745361 * 10240; EvalClassificationError = 0.35136719 * 10240; time = 0.0486s; samplesPerSecond = 210599.9
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.08464355 * 10240; EvalClassificationError = 0.35410156 * 10240; time = 0.0487s; samplesPerSecond = 210448.4
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.06542969 * 10240; EvalClassificationError = 0.34208984 * 10240; time = 0.0485s; samplesPerSecond = 211147.1
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.07131348 * 10240; EvalClassificationError = 0.34384766 * 10240; time = 0.0486s; samplesPerSecond = 210699.6
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.08653564 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0490s; samplesPerSecond = 209129.0
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.06202393 * 10240; EvalClassificationError = 0.34423828 * 10240; time = 0.0485s; samplesPerSecond = 211269.1
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.06092529 * 10240; EvalClassificationError = 0.34277344 * 10240; time = 0.0486s; samplesPerSecond = 210656.2
11/24/2016 20:16:16:  Epoch[14 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.06678467 * 10240; EvalClassificationError = 0.34238281 * 10240; time = 0.0484s; samplesPerSecond = 211544.0
11/24/2016 20:16:16: Finished Epoch[14 of 25]: [Training] CrossEntropyWithSoftmax = 1.06219601 * 1124823; EvalClassificationError = 0.34388344 * 1124823; totalSamplesSeen = 15747522; learningRatePerSample = 0.003125; epochTime=5.54993s
11/24/2016 20:16:16: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.14'

11/24/2016 20:16:16: Starting Epoch 15: learning rate per sample = 0.003125  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 14: frames [15747522..16872345] (first utterance at frame 15747522), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:17: Starting minibatch loop.
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.03109083 * 10240; EvalClassificationError = 0.33417969 * 10240; time = 0.0517s; samplesPerSecond = 198084.9
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.04441576 * 10240; EvalClassificationError = 0.33769531 * 10240; time = 0.0490s; samplesPerSecond = 208792.1
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.05139027 * 10240; EvalClassificationError = 0.34023437 * 10240; time = 0.0489s; samplesPerSecond = 209466.9
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.02929859 * 10240; EvalClassificationError = 0.33564453 * 10240; time = 0.0488s; samplesPerSecond = 209836.1
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04729004 * 10240; EvalClassificationError = 0.33652344 * 10240; time = 0.0486s; samplesPerSecond = 210721.3
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.02110291 * 10240; EvalClassificationError = 0.32744141 * 10240; time = 0.0489s; samplesPerSecond = 209214.4
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.02976341 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0491s; samplesPerSecond = 208651.7
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.04170914 * 10240; EvalClassificationError = 0.33945313 * 10240; time = 0.0492s; samplesPerSecond = 208329.1
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.03474274 * 10240; EvalClassificationError = 0.33388672 * 10240; time = 0.0491s; samplesPerSecond = 208698.5
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.00864792 * 10240; EvalClassificationError = 0.33310547 * 10240; time = 0.0491s; samplesPerSecond = 208503.0
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.03256683 * 10240; EvalClassificationError = 0.33701172 * 10240; time = 0.0493s; samplesPerSecond = 207729.0
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.02492981 * 10240; EvalClassificationError = 0.33535156 * 10240; time = 0.0491s; samplesPerSecond = 208515.8
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.04792023 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0491s; samplesPerSecond = 208558.2
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.02863922 * 10240; EvalClassificationError = 0.33662109 * 10240; time = 0.0490s; samplesPerSecond = 208941.2
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.03765411 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0489s; samplesPerSecond = 209509.8
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.02540131 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0490s; samplesPerSecond = 209103.3
11/24/2016 20:16:17:  Epoch[15 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.02712860 * 10240; EvalClassificationError = 0.33876953 * 10240; time = 0.0489s; samplesPerSecond = 209449.8
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.03396759 * 10240; EvalClassificationError = 0.33476563 * 10240; time = 0.0489s; samplesPerSecond = 209565.5
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.03910522 * 10240; EvalClassificationError = 0.33466797 * 10240; time = 0.0503s; samplesPerSecond = 203554.2
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.04064941 * 10240; EvalClassificationError = 0.34082031 * 10240; time = 0.0494s; samplesPerSecond = 207107.2
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.04849701 * 10240; EvalClassificationError = 0.33945313 * 10240; time = 0.0515s; samplesPerSecond = 198881.3
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.03975525 * 10240; EvalClassificationError = 0.33427734 * 10240; time = 0.0493s; samplesPerSecond = 207665.8
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.04319305 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0494s; samplesPerSecond = 207358.8
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.02842865 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0492s; samplesPerSecond = 208197.8
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.02809296 * 10240; EvalClassificationError = 0.33447266 * 10240; time = 0.0492s; samplesPerSecond = 208024.4
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.03302307 * 10240; EvalClassificationError = 0.33916016 * 10240; time = 0.0501s; samplesPerSecond = 204407.5
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.04170532 * 10240; EvalClassificationError = 0.33906250 * 10240; time = 0.0491s; samplesPerSecond = 208490.3
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.03549500 * 10240; EvalClassificationError = 0.33476563 * 10240; time = 0.0491s; samplesPerSecond = 208711.2
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.02703552 * 10240; EvalClassificationError = 0.33261719 * 10240; time = 0.0490s; samplesPerSecond = 209013.7
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.02605896 * 10240; EvalClassificationError = 0.33173828 * 10240; time = 0.0490s; samplesPerSecond = 209137.5
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.05852661 * 10240; EvalClassificationError = 0.34062500 * 10240; time = 0.0484s; samplesPerSecond = 211775.9
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.04237976 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0489s; samplesPerSecond = 209514.1
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.02972107 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0490s; samplesPerSecond = 209090.5
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.03623047 * 10240; EvalClassificationError = 0.33974609 * 10240; time = 0.0490s; samplesPerSecond = 209184.5
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.02831726 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0490s; samplesPerSecond = 209158.9
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.05401611 * 10240; EvalClassificationError = 0.33974609 * 10240; time = 0.0490s; samplesPerSecond = 209146.1
11/24/2016 20:16:18:  Epoch[15 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.04766541 * 10240; EvalClassificationError = 0.33955078 * 10240; time = 0.0490s; samplesPerSecond = 208851.7
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.03277588 * 10240; EvalClassificationError = 0.33730469 * 10240; time = 0.0490s; samplesPerSecond = 209116.2
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.03034363 * 10240; EvalClassificationError = 0.33134766 * 10240; time = 0.0489s; samplesPerSecond = 209385.5
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.03807983 * 10240; EvalClassificationError = 0.33613281 * 10240; time = 0.0485s; samplesPerSecond = 211286.5
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.03058167 * 10240; EvalClassificationError = 0.33681641 * 10240; time = 0.0490s; samplesPerSecond = 208838.9
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.05863953 * 10240; EvalClassificationError = 0.34726563 * 10240; time = 0.0488s; samplesPerSecond = 209625.6
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.03207703 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0486s; samplesPerSecond = 210756.0
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.04528503 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0487s; samplesPerSecond = 210444.1
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.04949951 * 10240; EvalClassificationError = 0.33828125 * 10240; time = 0.0481s; samplesPerSecond = 212876.5
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.03492432 * 10240; EvalClassificationError = 0.33242187 * 10240; time = 0.0491s; samplesPerSecond = 208719.8
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.05766907 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0492s; samplesPerSecond = 208316.4
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.05805969 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0492s; samplesPerSecond = 208240.1
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.04073486 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0489s; samplesPerSecond = 209582.7
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.02731018 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0492s; samplesPerSecond = 207969.5
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.04528809 * 10240; EvalClassificationError = 0.33984375 * 10240; time = 0.0489s; samplesPerSecond = 209389.8
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.05737915 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0490s; samplesPerSecond = 209167.4
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.00219727 * 10240; EvalClassificationError = 0.33261719 * 10240; time = 0.0492s; samplesPerSecond = 207969.5
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.04749756 * 10240; EvalClassificationError = 0.33857422 * 10240; time = 0.0490s; samplesPerSecond = 209163.1
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.02066040 * 10240; EvalClassificationError = 0.33095703 * 10240; time = 0.0489s; samplesPerSecond = 209210.1
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.04639282 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0491s; samplesPerSecond = 208639.0
11/24/2016 20:16:19:  Epoch[15 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.02122803 * 10240; EvalClassificationError = 0.33447266 * 10240; time = 0.0490s; samplesPerSecond = 208877.3
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.06420898 * 10240; EvalClassificationError = 0.34130859 * 10240; time = 0.0490s; samplesPerSecond = 208983.9
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.08138428 * 10240; EvalClassificationError = 0.34902344 * 10240; time = 0.0491s; samplesPerSecond = 208741.0
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.02722778 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0486s; samplesPerSecond = 210890.5
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.04050903 * 10240; EvalClassificationError = 0.33134766 * 10240; time = 0.0480s; samplesPerSecond = 213529.1
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.04639893 * 10240; EvalClassificationError = 0.34160156 * 10240; time = 0.0483s; samplesPerSecond = 212061.0
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.05097656 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0482s; samplesPerSecond = 212386.4
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.05084229 * 10240; EvalClassificationError = 0.34101562 * 10240; time = 0.0481s; samplesPerSecond = 213071.4
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.04799194 * 10240; EvalClassificationError = 0.34375000 * 10240; time = 0.0481s; samplesPerSecond = 212867.7
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.04291992 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0481s; samplesPerSecond = 212757.1
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.03201294 * 10240; EvalClassificationError = 0.33662109 * 10240; time = 0.0483s; samplesPerSecond = 211837.2
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.05719604 * 10240; EvalClassificationError = 0.34306641 * 10240; time = 0.0481s; samplesPerSecond = 212704.1
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.02926025 * 10240; EvalClassificationError = 0.33437500 * 10240; time = 0.0482s; samplesPerSecond = 212267.6
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.05207520 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0481s; samplesPerSecond = 212925.2
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.05463257 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0484s; samplesPerSecond = 211356.3
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.05368042 * 10240; EvalClassificationError = 0.33710937 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.03538208 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0481s; samplesPerSecond = 212872.1
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.04372559 * 10240; EvalClassificationError = 0.33710937 * 10240; time = 0.0482s; samplesPerSecond = 212637.8
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.07719116 * 10240; EvalClassificationError = 0.34990234 * 10240; time = 0.0483s; samplesPerSecond = 212065.4
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.03189087 * 10240; EvalClassificationError = 0.33320312 * 10240; time = 0.0482s; samplesPerSecond = 212333.6
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.05568237 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0483s; samplesPerSecond = 211968.8
11/24/2016 20:16:20:  Epoch[15 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.03263550 * 10240; EvalClassificationError = 0.34189453 * 10240; time = 0.0480s; samplesPerSecond = 213506.8
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.02298584 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0479s; samplesPerSecond = 213885.9
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.03837280 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0481s; samplesPerSecond = 213031.5
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.06808472 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0481s; samplesPerSecond = 212872.1
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.04392700 * 10240; EvalClassificationError = 0.34238281 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.04804688 * 10240; EvalClassificationError = 0.34169922 * 10240; time = 0.0480s; samplesPerSecond = 213364.4
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.06147461 * 10240; EvalClassificationError = 0.34833984 * 10240; time = 0.0481s; samplesPerSecond = 213089.2
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.04497681 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0480s; samplesPerSecond = 213355.6
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.06311035 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0479s; samplesPerSecond = 213894.8
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.04405518 * 10240; EvalClassificationError = 0.33642578 * 10240; time = 0.0482s; samplesPerSecond = 212637.8
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.02413330 * 10240; EvalClassificationError = 0.33359375 * 10240; time = 0.0481s; samplesPerSecond = 212805.8
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.03649902 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.05626221 * 10240; EvalClassificationError = 0.34365234 * 10240; time = 0.0481s; samplesPerSecond = 212951.8
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.04868164 * 10240; EvalClassificationError = 0.33818359 * 10240; time = 0.0481s; samplesPerSecond = 212956.2
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.02284546 * 10240; EvalClassificationError = 0.33388672 * 10240; time = 0.0479s; samplesPerSecond = 213787.6
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.06660767 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0481s; samplesPerSecond = 213036.0
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.07000122 * 10240; EvalClassificationError = 0.34570312 * 10240; time = 0.0481s; samplesPerSecond = 213058.1
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.03791504 * 10240; EvalClassificationError = 0.33564453 * 10240; time = 0.0481s; samplesPerSecond = 212845.6
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.03206787 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0481s; samplesPerSecond = 213022.7
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.05034790 * 10240; EvalClassificationError = 0.34042969 * 10240; time = 0.0480s; samplesPerSecond = 213360.0
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.04590454 * 10240; EvalClassificationError = 0.34375000 * 10240; time = 0.0481s; samplesPerSecond = 213036.0
11/24/2016 20:16:21:  Epoch[15 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.03859863 * 10240; EvalClassificationError = 0.34003906 * 10240; time = 0.0480s; samplesPerSecond = 213306.7
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.03107910 * 10240; EvalClassificationError = 0.33515625 * 10240; time = 0.0480s; samplesPerSecond = 213475.7
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.04797363 * 10240; EvalClassificationError = 0.34130859 * 10240; time = 0.0481s; samplesPerSecond = 212889.8
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.03273926 * 10240; EvalClassificationError = 0.33066406 * 10240; time = 0.0482s; samplesPerSecond = 212294.0
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.01889648 * 10240; EvalClassificationError = 0.33085938 * 10240; time = 0.0481s; samplesPerSecond = 213018.2
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.04683838 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0484s; samplesPerSecond = 211570.2
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.05134277 * 10240; EvalClassificationError = 0.33720703 * 10240; time = 0.0480s; samplesPerSecond = 213115.8
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.04871826 * 10240; EvalClassificationError = 0.34257813 * 10240; time = 0.0487s; samplesPerSecond = 210297.2
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.03137207 * 10240; EvalClassificationError = 0.33066406 * 10240; time = 0.0480s; samplesPerSecond = 213120.2
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.05281982 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0481s; samplesPerSecond = 212911.9
11/24/2016 20:16:22:  Epoch[15 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.05651855 * 10240; EvalClassificationError = 0.33935547 * 10240; time = 0.0481s; samplesPerSecond = 212938.5
11/24/2016 20:16:22: Finished Epoch[15 of 25]: [Training] CrossEntropyWithSoftmax = 1.04120093 * 1124823; EvalClassificationError = 0.33831545 * 1124823; totalSamplesSeen = 16872345; learningRatePerSample = 0.003125; epochTime=5.53693s
11/24/2016 20:16:22: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.15'

11/24/2016 20:16:22: Starting Epoch 16: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 15: frames [16872345..17997168] (first utterance at frame 16872345), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:22: Starting minibatch loop.
11/24/2016 20:16:22:  Epoch[16 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.08669558 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0499s; samplesPerSecond = 205350.3
11/24/2016 20:16:22:  Epoch[16 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.18751230 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0477s; samplesPerSecond = 214697.6
11/24/2016 20:16:22:  Epoch[16 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.17794209 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0476s; samplesPerSecond = 215221.0
11/24/2016 20:16:22:  Epoch[16 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.06134109 * 10240; EvalClassificationError = 0.34394531 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:16:22:  Epoch[16 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04442139 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0478s; samplesPerSecond = 214450.3
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.05194702 * 10240; EvalClassificationError = 0.33867188 * 10240; time = 0.0476s; samplesPerSecond = 215275.3
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.02488785 * 10240; EvalClassificationError = 0.33359375 * 10240; time = 0.0478s; samplesPerSecond = 214100.5
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.00035782 * 10240; EvalClassificationError = 0.33085938 * 10240; time = 0.0478s; samplesPerSecond = 214131.9
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.00429230 * 10240; EvalClassificationError = 0.32890625 * 10240; time = 0.0475s; samplesPerSecond = 215451.9
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.99335556 * 10240; EvalClassificationError = 0.31923828 * 10240; time = 0.0479s; samplesPerSecond = 213841.2
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.96563339 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0479s; samplesPerSecond = 213859.1
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.97528687 * 10240; EvalClassificationError = 0.31962891 * 10240; time = 0.0478s; samplesPerSecond = 214391.9
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.98145676 * 10240; EvalClassificationError = 0.32187500 * 10240; time = 0.0475s; samplesPerSecond = 215497.3
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.00105743 * 10240; EvalClassificationError = 0.32578125 * 10240; time = 0.0479s; samplesPerSecond = 213997.6
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.99792786 * 10240; EvalClassificationError = 0.32705078 * 10240; time = 0.0476s; samplesPerSecond = 215008.6
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.96750336 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0484s; samplesPerSecond = 211749.6
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.96455994 * 10240; EvalClassificationError = 0.31406250 * 10240; time = 0.0482s; samplesPerSecond = 212289.6
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.97138367 * 10240; EvalClassificationError = 0.31494141 * 10240; time = 0.0485s; samplesPerSecond = 210951.3
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.98388977 * 10240; EvalClassificationError = 0.32177734 * 10240; time = 0.0482s; samplesPerSecond = 212342.4
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.97548828 * 10240; EvalClassificationError = 0.31728516 * 10240; time = 0.0483s; samplesPerSecond = 211802.2
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.97323608 * 10240; EvalClassificationError = 0.31484375 * 10240; time = 0.0485s; samplesPerSecond = 211347.5
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.96440887 * 10240; EvalClassificationError = 0.31875000 * 10240; time = 0.0484s; samplesPerSecond = 211552.8
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.96758270 * 10240; EvalClassificationError = 0.31523438 * 10240; time = 0.0482s; samplesPerSecond = 212531.9
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.97711639 * 10240; EvalClassificationError = 0.31562500 * 10240; time = 0.0484s; samplesPerSecond = 211548.4
11/24/2016 20:16:23:  Epoch[16 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.98171082 * 10240; EvalClassificationError = 0.31464844 * 10240; time = 0.0484s; samplesPerSecond = 211474.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.95255280 * 10240; EvalClassificationError = 0.31289062 * 10240; time = 0.0483s; samplesPerSecond = 212201.6
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.95424805 * 10240; EvalClassificationError = 0.31191406 * 10240; time = 0.0483s; samplesPerSecond = 211981.9
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.96056213 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0481s; samplesPerSecond = 212748.3
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.97964478 * 10240; EvalClassificationError = 0.31386719 * 10240; time = 0.0478s; samplesPerSecond = 214288.7
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.98536072 * 10240; EvalClassificationError = 0.32216797 * 10240; time = 0.0478s; samplesPerSecond = 214409.8
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.96044617 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0479s; samplesPerSecond = 213738.5
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94812622 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0481s; samplesPerSecond = 212841.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.95376587 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0482s; samplesPerSecond = 212474.6
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.94020996 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0485s; samplesPerSecond = 211269.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.97214355 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0485s; samplesPerSecond = 211308.3
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.96696167 * 10240; EvalClassificationError = 0.31240234 * 10240; time = 0.0486s; samplesPerSecond = 210734.3
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.94619446 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0485s; samplesPerSecond = 211073.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.95406799 * 10240; EvalClassificationError = 0.30791016 * 10240; time = 0.0483s; samplesPerSecond = 211951.2
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.97258301 * 10240; EvalClassificationError = 0.31621094 * 10240; time = 0.0485s; samplesPerSecond = 211107.9
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.94886475 * 10240; EvalClassificationError = 0.30986328 * 10240; time = 0.0486s; samplesPerSecond = 210673.6
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.95410461 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0487s; samplesPerSecond = 210301.5
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.96598511 * 10240; EvalClassificationError = 0.31699219 * 10240; time = 0.0483s; samplesPerSecond = 212047.8
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.94496460 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0485s; samplesPerSecond = 210973.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.95434875 * 10240; EvalClassificationError = 0.30869141 * 10240; time = 0.0485s; samplesPerSecond = 211003.5
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.97209167 * 10240; EvalClassificationError = 0.31875000 * 10240; time = 0.0484s; samplesPerSecond = 211378.1
11/24/2016 20:16:24:  Epoch[16 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.95423279 * 10240; EvalClassificationError = 0.31162109 * 10240; time = 0.0485s; samplesPerSecond = 211256.0
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.94185791 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0484s; samplesPerSecond = 211775.9
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.97272339 * 10240; EvalClassificationError = 0.31777344 * 10240; time = 0.0482s; samplesPerSecond = 212412.9
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.96640320 * 10240; EvalClassificationError = 0.31210938 * 10240; time = 0.0478s; samplesPerSecond = 214239.4
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.96216125 * 10240; EvalClassificationError = 0.31484375 * 10240; time = 0.0476s; samplesPerSecond = 214900.3
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.95684204 * 10240; EvalClassificationError = 0.31416016 * 10240; time = 0.0477s; samplesPerSecond = 214783.1
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.95441895 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0478s; samplesPerSecond = 214105.0
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.96475220 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0477s; samplesPerSecond = 214702.1
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.96988525 * 10240; EvalClassificationError = 0.31777344 * 10240; time = 0.0477s; samplesPerSecond = 214864.2
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.93848877 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0478s; samplesPerSecond = 214100.5
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93583984 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.96304932 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0482s; samplesPerSecond = 212320.4
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.95350342 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0486s; samplesPerSecond = 210729.9
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93313599 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0483s; samplesPerSecond = 211859.1
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.94227295 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0484s; samplesPerSecond = 211539.7
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94148560 * 10240; EvalClassificationError = 0.30986328 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93072510 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0483s; samplesPerSecond = 212008.3
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.94886475 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0483s; samplesPerSecond = 211859.1
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.95802612 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0484s; samplesPerSecond = 211413.0
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.94262085 * 10240; EvalClassificationError = 0.30917969 * 10240; time = 0.0483s; samplesPerSecond = 212052.2
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.95769653 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0484s; samplesPerSecond = 211365.0
11/24/2016 20:16:25:  Epoch[16 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92760010 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0482s; samplesPerSecond = 212606.9
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93151245 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.95941772 * 10240; EvalClassificationError = 0.30654297 * 10240; time = 0.0481s; samplesPerSecond = 212987.2
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94167480 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0476s; samplesPerSecond = 215343.2
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.96248169 * 10240; EvalClassificationError = 0.30703125 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91846313 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0477s; samplesPerSecond = 214769.6
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.94569092 * 10240; EvalClassificationError = 0.30683594 * 10240; time = 0.0479s; samplesPerSecond = 213649.4
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.95977783 * 10240; EvalClassificationError = 0.30898437 * 10240; time = 0.0479s; samplesPerSecond = 213769.8
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.93281250 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.95877686 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0477s; samplesPerSecond = 214787.6
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.95685425 * 10240; EvalClassificationError = 0.30683594 * 10240; time = 0.0476s; samplesPerSecond = 215071.8
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94652710 * 10240; EvalClassificationError = 0.31025391 * 10240; time = 0.0480s; samplesPerSecond = 213413.4
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.94829712 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0477s; samplesPerSecond = 214567.1
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.96289673 * 10240; EvalClassificationError = 0.31279297 * 10240; time = 0.0477s; samplesPerSecond = 214481.7
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.94378662 * 10240; EvalClassificationError = 0.30927734 * 10240; time = 0.0476s; samplesPerSecond = 214931.9
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94685669 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0477s; samplesPerSecond = 214486.2
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.94401855 * 10240; EvalClassificationError = 0.30927734 * 10240; time = 0.0476s; samplesPerSecond = 214990.6
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.94199829 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0476s; samplesPerSecond = 214977.0
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.94956055 * 10240; EvalClassificationError = 0.31201172 * 10240; time = 0.0482s; samplesPerSecond = 212668.7
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.93562012 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0477s; samplesPerSecond = 214589.6
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.91964111 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0477s; samplesPerSecond = 214801.1
11/24/2016 20:16:26:  Epoch[16 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92229004 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0479s; samplesPerSecond = 213961.8
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.93734131 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93280640 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0478s; samplesPerSecond = 214324.6
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.95714111 * 10240; EvalClassificationError = 0.30791016 * 10240; time = 0.0479s; samplesPerSecond = 213792.1
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.94405518 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0475s; samplesPerSecond = 215447.4
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.94641113 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.94455566 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0476s; samplesPerSecond = 215035.7
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.95166016 * 10240; EvalClassificationError = 0.31171875 * 10240; time = 0.0476s; samplesPerSecond = 214913.8
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92563477 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0476s; samplesPerSecond = 215130.6
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.95714722 * 10240; EvalClassificationError = 0.31289062 * 10240; time = 0.0478s; samplesPerSecond = 214288.7
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.94007568 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0476s; samplesPerSecond = 215080.9
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95380859 * 10240; EvalClassificationError = 0.31015625 * 10240; time = 0.0478s; samplesPerSecond = 214158.7
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.93045654 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0477s; samplesPerSecond = 214486.2
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.94000244 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0477s; samplesPerSecond = 214855.2
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.95016479 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0480s; samplesPerSecond = 213449.0
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.94717407 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0485s; samplesPerSecond = 211003.5
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.93744507 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0482s; samplesPerSecond = 212580.4
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94879150 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0486s; samplesPerSecond = 210582.6
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.94403687 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0485s; samplesPerSecond = 210925.3
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94835815 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0486s; samplesPerSecond = 210586.9
11/24/2016 20:16:27:  Epoch[16 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.94649658 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0485s; samplesPerSecond = 211234.2
11/24/2016 20:16:28:  Epoch[16 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.93824463 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0485s; samplesPerSecond = 211330.1
11/24/2016 20:16:28: Finished Epoch[16 of 25]: [Training] CrossEntropyWithSoftmax = 0.96343447 * 1124823; EvalClassificationError = 0.31243582 * 1124823; totalSamplesSeen = 17997168; learningRatePerSample = 7.8124998e-05; epochTime=5.46211s
11/24/2016 20:16:28: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.16'

11/24/2016 20:16:28: Starting Epoch 17: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 16: frames [17997168..19121991] (first utterance at frame 17997168), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:28: Starting minibatch loop.
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.94561052 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0499s; samplesPerSecond = 205181.6
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.94090357 * 10240; EvalClassificationError = 0.30820313 * 10240; time = 0.0477s; samplesPerSecond = 214769.6
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.94104900 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0478s; samplesPerSecond = 214149.8
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.95765266 * 10240; EvalClassificationError = 0.31396484 * 10240; time = 0.0476s; samplesPerSecond = 215004.1
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.95817032 * 10240; EvalClassificationError = 0.30859375 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93951797 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0477s; samplesPerSecond = 214873.3
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.93701553 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0480s; samplesPerSecond = 213453.4
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.93620987 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0480s; samplesPerSecond = 213391.1
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93693314 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92395935 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0476s; samplesPerSecond = 215148.7
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93820343 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0479s; samplesPerSecond = 213676.1
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92982788 * 10240; EvalClassificationError = 0.30244141 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.94314728 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0478s; samplesPerSecond = 214176.7
11/24/2016 20:16:28:  Epoch[17 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91733017 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0476s; samplesPerSecond = 215144.1
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.96925354 * 10240; EvalClassificationError = 0.31142578 * 10240; time = 0.0477s; samplesPerSecond = 214805.6
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.94365082 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0477s; samplesPerSecond = 214684.1
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93446655 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0479s; samplesPerSecond = 213796.6
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.95349731 * 10240; EvalClassificationError = 0.30810547 * 10240; time = 0.0482s; samplesPerSecond = 212267.6
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.93515625 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0484s; samplesPerSecond = 211465.4
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.94800110 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0483s; samplesPerSecond = 212206.0
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93655243 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0481s; samplesPerSecond = 213049.3
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92579498 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0479s; samplesPerSecond = 213957.4
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.94548492 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0483s; samplesPerSecond = 212047.8
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.95282440 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0486s; samplesPerSecond = 210756.0
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.93443146 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0485s; samplesPerSecond = 211273.4
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.94397430 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0482s; samplesPerSecond = 212236.8
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92283630 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0484s; samplesPerSecond = 211754.0
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.95758362 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0485s; samplesPerSecond = 211264.7
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.96140442 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0483s; samplesPerSecond = 212100.5
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.93256531 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0487s; samplesPerSecond = 210370.6
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.94337158 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0485s; samplesPerSecond = 211269.1
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92688293 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0486s; samplesPerSecond = 210751.6
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93871765 * 10240; EvalClassificationError = 0.30996094 * 10240; time = 0.0483s; samplesPerSecond = 212030.2
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.92835083 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0485s; samplesPerSecond = 211107.9
11/24/2016 20:16:29:  Epoch[17 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.93576660 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0485s; samplesPerSecond = 211234.2
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92211304 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0487s; samplesPerSecond = 210478.7
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92863464 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0483s; samplesPerSecond = 211898.6
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93194275 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0476s; samplesPerSecond = 215166.7
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.94233398 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0478s; samplesPerSecond = 214342.5
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92786865 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0477s; samplesPerSecond = 214544.6
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.93405762 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92717896 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0478s; samplesPerSecond = 214122.9
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.95268250 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92503967 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93505249 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0478s; samplesPerSecond = 214284.2
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.95173950 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0480s; samplesPerSecond = 213431.2
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93252563 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0478s; samplesPerSecond = 214073.7
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91827087 * 10240; EvalClassificationError = 0.29257813 * 10240; time = 0.0476s; samplesPerSecond = 214999.6
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93249817 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0476s; samplesPerSecond = 214959.0
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92020874 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0475s; samplesPerSecond = 215411.2
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93165588 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0476s; samplesPerSecond = 215026.7
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.92751160 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0476s; samplesPerSecond = 215126.1
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94537964 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93112793 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.94943542 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0478s; samplesPerSecond = 214096.1
11/24/2016 20:16:30:  Epoch[17 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.95314941 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0478s; samplesPerSecond = 214096.1
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93364868 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0478s; samplesPerSecond = 214149.8
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92866821 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.95333862 * 10240; EvalClassificationError = 0.30966797 * 10240; time = 0.0476s; samplesPerSecond = 215112.5
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91239624 * 10240; EvalClassificationError = 0.29296875 * 10240; time = 0.0476s; samplesPerSecond = 215180.3
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94439087 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93244629 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0480s; samplesPerSecond = 213333.3
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91923218 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0479s; samplesPerSecond = 213832.3
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93858643 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.94984741 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0479s; samplesPerSecond = 213997.6
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.93154907 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0479s; samplesPerSecond = 213801.0
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93456421 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0479s; samplesPerSecond = 213948.4
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93491821 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0476s; samplesPerSecond = 215257.2
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92184448 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0480s; samplesPerSecond = 213538.0
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94829102 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.93400879 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0478s; samplesPerSecond = 214051.3
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91239014 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0476s; samplesPerSecond = 215121.5
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93941650 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0477s; samplesPerSecond = 214702.1
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.91537476 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0480s; samplesPerSecond = 213342.2
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91256104 * 10240; EvalClassificationError = 0.29335937 * 10240; time = 0.0474s; samplesPerSecond = 215997.3
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.92202759 * 10240; EvalClassificationError = 0.29677734 * 10240; time = 0.0476s; samplesPerSecond = 214927.4
11/24/2016 20:16:31:  Epoch[17 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.94268188 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0478s; samplesPerSecond = 214006.6
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94051514 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0479s; samplesPerSecond = 213680.6
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.94282837 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0477s; samplesPerSecond = 214832.7
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.91839600 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0476s; samplesPerSecond = 214940.9
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93386841 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0475s; samplesPerSecond = 215565.3
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94666748 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0475s; samplesPerSecond = 215424.7
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.92009888 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0476s; samplesPerSecond = 215153.2
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92931519 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0477s; samplesPerSecond = 214864.2
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.93579712 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0475s; samplesPerSecond = 215424.7
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.94343872 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0476s; samplesPerSecond = 215207.4
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.95717163 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0480s; samplesPerSecond = 213142.4
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93025513 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0478s; samplesPerSecond = 214360.5
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.92143555 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0474s; samplesPerSecond = 215847.1
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93628540 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0477s; samplesPerSecond = 214526.6
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.93008423 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0477s; samplesPerSecond = 214733.6
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.95108032 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0478s; samplesPerSecond = 214149.8
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92246704 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0478s; samplesPerSecond = 214131.9
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.94820557 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0479s; samplesPerSecond = 213707.3
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.94890137 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0479s; samplesPerSecond = 213921.6
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93142700 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0479s; samplesPerSecond = 213823.3
11/24/2016 20:16:32:  Epoch[17 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93087769 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0476s; samplesPerSecond = 214913.8
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91325073 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0476s; samplesPerSecond = 215013.1
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.94110107 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0477s; samplesPerSecond = 214774.1
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92352295 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0478s; samplesPerSecond = 214293.2
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.93624878 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0480s; samplesPerSecond = 213529.1
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.94373169 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0477s; samplesPerSecond = 214814.7
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.92342529 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0476s; samplesPerSecond = 215035.7
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92313232 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0475s; samplesPerSecond = 215415.7
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.95395508 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0476s; samplesPerSecond = 215189.3
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92636108 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0476s; samplesPerSecond = 215198.4
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.93025513 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93550415 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0477s; samplesPerSecond = 214819.2
11/24/2016 20:16:33:  Epoch[17 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94322510 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0478s; samplesPerSecond = 214329.1
11/24/2016 20:16:33: Finished Epoch[17 of 25]: [Training] CrossEntropyWithSoftmax = 0.93576267 * 1124823; EvalClassificationError = 0.30337217 * 1124823; totalSamplesSeen = 19121991; learningRatePerSample = 7.8124998e-05; epochTime=5.4422s
11/24/2016 20:16:33: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.17'

11/24/2016 20:16:33: Starting Epoch 18: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 17: frames [19121991..20246814] (first utterance at frame 19121991), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:33: Starting minibatch loop.
11/24/2016 20:16:33:  Epoch[18 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93793898 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0497s; samplesPerSecond = 206052.8
11/24/2016 20:16:33:  Epoch[18 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92008047 * 10240; EvalClassificationError = 0.30039063 * 10240; time = 0.0478s; samplesPerSecond = 214333.6
11/24/2016 20:16:33:  Epoch[18 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92151661 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0480s; samplesPerSecond = 213533.5
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.94528084 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0477s; samplesPerSecond = 214679.6
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92836990 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0478s; samplesPerSecond = 214234.9
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.89247055 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0475s; samplesPerSecond = 215515.4
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92666702 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0477s; samplesPerSecond = 214729.1
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.93417282 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0479s; samplesPerSecond = 213935.0
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93674393 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0481s; samplesPerSecond = 212805.8
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93606110 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0480s; samplesPerSecond = 213257.8
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.95353088 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0480s; samplesPerSecond = 213377.8
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.90381088 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0482s; samplesPerSecond = 212298.4
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.93584290 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0484s; samplesPerSecond = 211592.1
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.94867706 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0485s; samplesPerSecond = 210934.0
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92750854 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0484s; samplesPerSecond = 211452.3
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91531219 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0483s; samplesPerSecond = 211924.9
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.92668152 * 10240; EvalClassificationError = 0.31035156 * 10240; time = 0.0484s; samplesPerSecond = 211714.6
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92448273 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0483s; samplesPerSecond = 212025.8
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.93550873 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0484s; samplesPerSecond = 211487.2
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.90140228 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0484s; samplesPerSecond = 211657.7
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91149597 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0484s; samplesPerSecond = 211784.7
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.93589325 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0484s; samplesPerSecond = 211758.4
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92150879 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:16:34:  Epoch[18 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91244965 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0484s; samplesPerSecond = 211530.9
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.95250549 * 10240; EvalClassificationError = 0.31318359 * 10240; time = 0.0485s; samplesPerSecond = 211164.5
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.92094421 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0486s; samplesPerSecond = 210782.0
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.95754852 * 10240; EvalClassificationError = 0.30869141 * 10240; time = 0.0479s; samplesPerSecond = 213801.0
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.93312531 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0478s; samplesPerSecond = 214288.7
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.94132080 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0475s; samplesPerSecond = 215501.8
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.93471375 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93739624 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0477s; samplesPerSecond = 214711.1
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94017029 * 10240; EvalClassificationError = 0.30546875 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.94074402 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0475s; samplesPerSecond = 215638.0
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91986084 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0476s; samplesPerSecond = 215062.8
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92508850 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0479s; samplesPerSecond = 213702.9
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92027588 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0485s; samplesPerSecond = 211295.2
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.93848267 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0484s; samplesPerSecond = 211530.9
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.92049561 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0485s; samplesPerSecond = 211029.6
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.93609009 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0483s; samplesPerSecond = 211938.1
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92811584 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0486s; samplesPerSecond = 210673.6
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92417908 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0482s; samplesPerSecond = 212487.8
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92989502 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0486s; samplesPerSecond = 210535.0
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.95068359 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0486s; samplesPerSecond = 210864.5
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.95082703 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0484s; samplesPerSecond = 211697.1
11/24/2016 20:16:35:  Epoch[18 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.94101868 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0485s; samplesPerSecond = 211055.7
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92908936 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0483s; samplesPerSecond = 211960.0
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.90306702 * 10240; EvalClassificationError = 0.29082031 * 10240; time = 0.0484s; samplesPerSecond = 211745.2
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91976624 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0479s; samplesPerSecond = 213961.8
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93815308 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0476s; samplesPerSecond = 215248.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92132874 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0477s; samplesPerSecond = 214558.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93336182 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.94273071 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0478s; samplesPerSecond = 214311.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.93706055 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0479s; samplesPerSecond = 213778.7
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.92679749 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0479s; samplesPerSecond = 213627.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.94473877 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0478s; samplesPerSecond = 214347.0
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.92394104 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0477s; samplesPerSecond = 214544.6
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91586304 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0480s; samplesPerSecond = 213408.9
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.94403076 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91973267 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.94827271 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.90937500 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0478s; samplesPerSecond = 214122.9
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92772217 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0478s; samplesPerSecond = 214055.8
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92041626 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0481s; samplesPerSecond = 212779.2
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.95759277 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0478s; samplesPerSecond = 214020.0
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91835937 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0476s; samplesPerSecond = 215166.7
11/24/2016 20:16:36:  Epoch[18 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91537476 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0476s; samplesPerSecond = 215076.3
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93613892 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93244019 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93473511 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0479s; samplesPerSecond = 213912.7
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92736816 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0476s; samplesPerSecond = 215117.0
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92835693 * 10240; EvalClassificationError = 0.30654297 * 10240; time = 0.0476s; samplesPerSecond = 214963.5
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93957520 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0477s; samplesPerSecond = 214598.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92933960 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0476s; samplesPerSecond = 215076.3
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.94431763 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0475s; samplesPerSecond = 215456.5
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.95366821 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.94747925 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0477s; samplesPerSecond = 214769.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.94442749 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0476s; samplesPerSecond = 214972.5
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90740356 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0476s; samplesPerSecond = 214959.0
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91783447 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0476s; samplesPerSecond = 215130.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93109741 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0477s; samplesPerSecond = 214580.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92761841 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0477s; samplesPerSecond = 214837.2
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92619019 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0477s; samplesPerSecond = 214814.7
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.93278809 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0477s; samplesPerSecond = 214490.7
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92734375 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0478s; samplesPerSecond = 214100.5
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.91958618 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.95334473 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0477s; samplesPerSecond = 214796.6
11/24/2016 20:16:37:  Epoch[18 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.90509033 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0476s; samplesPerSecond = 214909.3
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92229614 * 10240; EvalClassificationError = 0.29462891 * 10240; time = 0.0478s; samplesPerSecond = 214450.3
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91871948 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0478s; samplesPerSecond = 214091.6
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.89674683 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0480s; samplesPerSecond = 213449.0
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91923218 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0480s; samplesPerSecond = 213502.4
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92763062 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0478s; samplesPerSecond = 214140.8
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91442871 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0475s; samplesPerSecond = 215701.6
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.92000732 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0478s; samplesPerSecond = 214378.4
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.95462036 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93839111 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0477s; samplesPerSecond = 214859.7
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91789551 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0481s; samplesPerSecond = 212814.6
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.94406738 * 10240; EvalClassificationError = 0.30927734 * 10240; time = 0.0476s; samplesPerSecond = 215098.9
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.93504639 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0477s; samplesPerSecond = 214603.1
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92918091 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0477s; samplesPerSecond = 214594.1
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.95695190 * 10240; EvalClassificationError = 0.31406250 * 10240; time = 0.0478s; samplesPerSecond = 214445.8
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.95604858 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0475s; samplesPerSecond = 215651.6
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91879272 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0476s; samplesPerSecond = 215207.4
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92695923 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0475s; samplesPerSecond = 215665.2
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.93680420 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0476s; samplesPerSecond = 215004.1
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.91816406 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0475s; samplesPerSecond = 215361.3
11/24/2016 20:16:38:  Epoch[18 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91207886 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0477s; samplesPerSecond = 214792.1
11/24/2016 20:16:39:  Epoch[18 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93486328 * 10240; EvalClassificationError = 0.30859375 * 10240; time = 0.0476s; samplesPerSecond = 215270.8
11/24/2016 20:16:39:  Epoch[18 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94626465 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0475s; samplesPerSecond = 215515.4
11/24/2016 20:16:39: Finished Epoch[18 of 25]: [Training] CrossEntropyWithSoftmax = 0.93007061 * 1124823; EvalClassificationError = 0.30160123 * 1124823; totalSamplesSeen = 20246814; learningRatePerSample = 7.8124998e-05; epochTime=5.44643s
11/24/2016 20:16:39: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.18'

11/24/2016 20:16:39: Starting Epoch 19: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 18: frames [20246814..21371637] (first utterance at frame 20246814), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:39: Starting minibatch loop.
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.90926046 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0507s; samplesPerSecond = 201920.6
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.93177118 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0485s; samplesPerSecond = 211160.1
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92697735 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0484s; samplesPerSecond = 211504.7
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.93247433 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0486s; samplesPerSecond = 210552.3
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.94439888 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0485s; samplesPerSecond = 211238.6
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.92154427 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0483s; samplesPerSecond = 211832.9
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.94494743 * 10240; EvalClassificationError = 0.31240234 * 10240; time = 0.0483s; samplesPerSecond = 211806.6
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92164078 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0483s; samplesPerSecond = 211920.5
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93210602 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0486s; samplesPerSecond = 210756.0
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93810272 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0484s; samplesPerSecond = 211758.4
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93597336 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0483s; samplesPerSecond = 211977.6
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.91282806 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0483s; samplesPerSecond = 212144.4
11/24/2016 20:16:39:  Epoch[19 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.93009033 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0483s; samplesPerSecond = 211907.4
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91789703 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0484s; samplesPerSecond = 211719.0
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92675934 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0485s; samplesPerSecond = 211312.7
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.90922699 * 10240; EvalClassificationError = 0.28994141 * 10240; time = 0.0479s; samplesPerSecond = 213908.2
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93324738 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.90176239 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0478s; samplesPerSecond = 214396.4
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91077728 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0478s; samplesPerSecond = 214122.9
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.92938538 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93281097 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92824097 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92614441 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0477s; samplesPerSecond = 214891.3
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91249695 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0475s; samplesPerSecond = 215393.0
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.92224884 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0478s; samplesPerSecond = 214203.5
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.95140839 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0478s; samplesPerSecond = 214091.6
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.93712769 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0477s; samplesPerSecond = 214535.6
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92409058 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0477s; samplesPerSecond = 214450.3
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93905029 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91201477 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0478s; samplesPerSecond = 214441.3
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91077576 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0482s; samplesPerSecond = 212311.6
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94880676 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0485s; samplesPerSecond = 210964.4
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93736877 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0484s; samplesPerSecond = 211391.2
11/24/2016 20:16:40:  Epoch[19 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.94531555 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0486s; samplesPerSecond = 210643.2
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92744141 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0486s; samplesPerSecond = 210864.5
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92780457 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0484s; samplesPerSecond = 211666.5
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92144775 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0479s; samplesPerSecond = 213662.7
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.92720032 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0478s; samplesPerSecond = 214042.3
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.93160095 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0476s; samplesPerSecond = 215053.8
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91830139 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0477s; samplesPerSecond = 214864.2
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92072449 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0476s; samplesPerSecond = 215058.3
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.93061523 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0477s; samplesPerSecond = 214792.1
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92719421 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0478s; samplesPerSecond = 214261.8
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.93511353 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.90795593 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0479s; samplesPerSecond = 213961.8
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92103577 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0476s; samplesPerSecond = 215031.2
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.92522888 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0478s; samplesPerSecond = 214315.6
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91120300 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0476s; samplesPerSecond = 214959.0
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93336487 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0477s; samplesPerSecond = 214877.8
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.93553772 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.94244690 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0479s; samplesPerSecond = 213801.0
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90293274 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91619263 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0477s; samplesPerSecond = 214508.7
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93701477 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0476s; samplesPerSecond = 215230.0
11/24/2016 20:16:41:  Epoch[19 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91744995 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0478s; samplesPerSecond = 214011.0
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.90733032 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0476s; samplesPerSecond = 215207.4
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.92212524 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0478s; samplesPerSecond = 214342.5
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92499390 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0476s; samplesPerSecond = 215307.0
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.92584229 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.93734131 * 10240; EvalClassificationError = 0.29248047 * 10240; time = 0.0475s; samplesPerSecond = 215384.0
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.93381348 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0477s; samplesPerSecond = 214679.6
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92757568 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0475s; samplesPerSecond = 215737.9
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92387085 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0478s; samplesPerSecond = 214163.2
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.91134033 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0476s; samplesPerSecond = 214945.4
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.93504639 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0476s; samplesPerSecond = 215288.9
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91787720 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0476s; samplesPerSecond = 215094.4
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91511841 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93370361 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0478s; samplesPerSecond = 214064.7
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93406982 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0478s; samplesPerSecond = 214096.1
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92836914 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92163696 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0477s; samplesPerSecond = 214639.1
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.92915039 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0476s; samplesPerSecond = 215316.0
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92578125 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0476s; samplesPerSecond = 215103.5
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92861328 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0476s; samplesPerSecond = 214909.3
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91513672 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:16:42:  Epoch[19 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91122437 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0479s; samplesPerSecond = 213926.1
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91814575 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0478s; samplesPerSecond = 214158.7
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94033813 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0477s; samplesPerSecond = 214513.2
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.92601929 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0478s; samplesPerSecond = 214423.3
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93981323 * 10240; EvalClassificationError = 0.31279297 * 10240; time = 0.0476s; samplesPerSecond = 215198.4
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92760620 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0476s; samplesPerSecond = 215166.7
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.89567871 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0478s; samplesPerSecond = 214158.7
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.95091553 * 10240; EvalClassificationError = 0.30751953 * 10240; time = 0.0475s; samplesPerSecond = 215687.9
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.93628540 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0479s; samplesPerSecond = 213810.0
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.93333740 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92197266 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0476s; samplesPerSecond = 214995.1
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.93332520 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0476s; samplesPerSecond = 215180.3
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.91108398 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0476s; samplesPerSecond = 215148.7
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.93471680 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0476s; samplesPerSecond = 215162.2
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.92820435 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0477s; samplesPerSecond = 214454.8
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92210693 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0478s; samplesPerSecond = 214284.2
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93551636 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0475s; samplesPerSecond = 215361.3
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92309570 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0476s; samplesPerSecond = 214986.0
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.93654785 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.91159058 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0476s; samplesPerSecond = 214963.5
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.90555420 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0477s; samplesPerSecond = 214819.2
11/24/2016 20:16:43:  Epoch[19 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.94533691 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0480s; samplesPerSecond = 213235.6
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91802979 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0477s; samplesPerSecond = 214450.3
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95485840 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0477s; samplesPerSecond = 214576.1
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.93844604 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0477s; samplesPerSecond = 214589.6
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.94225464 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0479s; samplesPerSecond = 213725.2
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91259766 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0479s; samplesPerSecond = 213792.1
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.93124390 * 10240; EvalClassificationError = 0.30732422 * 10240; time = 0.0482s; samplesPerSecond = 212514.3
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92067261 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0480s; samplesPerSecond = 213400.0
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94815063 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0482s; samplesPerSecond = 212364.4
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92955933 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0483s; samplesPerSecond = 212188.4
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94716187 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0485s; samplesPerSecond = 210990.5
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93362427 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0483s; samplesPerSecond = 212012.7
11/24/2016 20:16:44:  Epoch[19 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91480103 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0484s; samplesPerSecond = 211404.3
11/24/2016 20:16:44: Finished Epoch[19 of 25]: [Training] CrossEntropyWithSoftmax = 0.92688666 * 1124823; EvalClassificationError = 0.30061530 * 1124823; totalSamplesSeen = 21371637; learningRatePerSample = 7.8124998e-05; epochTime=5.44653s
11/24/2016 20:16:44: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.19'

11/24/2016 20:16:44: Starting Epoch 20: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 19: frames [21371637..22496460] (first utterance at frame 21371637), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:44: Starting minibatch loop.
11/24/2016 20:16:44:  Epoch[20 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93509655 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0505s; samplesPerSecond = 202740.2
11/24/2016 20:16:44:  Epoch[20 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92422085 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92496262 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0482s; samplesPerSecond = 212518.7
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.93156357 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0485s; samplesPerSecond = 210934.0
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92345009 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0480s; samplesPerSecond = 213337.8
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.91919174 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0478s; samplesPerSecond = 214315.6
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92471466 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0478s; samplesPerSecond = 214096.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92107239 * 10240; EvalClassificationError = 0.29306641 * 10240; time = 0.0478s; samplesPerSecond = 214347.0
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.90738449 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0477s; samplesPerSecond = 214603.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92051163 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93750305 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0479s; samplesPerSecond = 213997.6
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92249832 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.92815323 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0476s; samplesPerSecond = 214963.5
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.93686371 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91674652 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0478s; samplesPerSecond = 214369.5
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.93707733 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0477s; samplesPerSecond = 214738.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93591156 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0477s; samplesPerSecond = 214693.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92606506 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0479s; samplesPerSecond = 213966.3
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.92737732 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0477s; samplesPerSecond = 214522.1
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.92613525 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0477s; samplesPerSecond = 214661.6
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91303558 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0478s; samplesPerSecond = 214284.2
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.91892853 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0477s; samplesPerSecond = 214841.7
11/24/2016 20:16:45:  Epoch[20 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.93254242 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0477s; samplesPerSecond = 214459.2
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.94235535 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.93592834 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91423492 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0477s; samplesPerSecond = 214504.2
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.93099823 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0477s; samplesPerSecond = 214499.7
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.90998535 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0478s; samplesPerSecond = 214306.6
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93714294 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91750793 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0478s; samplesPerSecond = 214172.2
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93427124 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0477s; samplesPerSecond = 214891.3
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92719421 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0478s; samplesPerSecond = 214127.4
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.92189026 * 10240; EvalClassificationError = 0.30732422 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.89364624 * 10240; EvalClassificationError = 0.28710938 * 10240; time = 0.0478s; samplesPerSecond = 214145.3
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.94866638 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.90915222 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0477s; samplesPerSecond = 214720.1
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92281799 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0478s; samplesPerSecond = 214140.8
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93001099 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0479s; samplesPerSecond = 213890.3
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.92066956 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0479s; samplesPerSecond = 213814.4
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.93619995 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92584229 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0475s; samplesPerSecond = 215474.6
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92642822 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0480s; samplesPerSecond = 213515.7
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.91424866 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0475s; samplesPerSecond = 215510.9
11/24/2016 20:16:46:  Epoch[20 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.90242004 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93386841 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0476s; samplesPerSecond = 215076.3
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.94032288 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0479s; samplesPerSecond = 213783.2
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93526611 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0476s; samplesPerSecond = 215067.3
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92104492 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0478s; samplesPerSecond = 214266.3
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.94041748 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0476s; samplesPerSecond = 215004.1
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.94718933 * 10240; EvalClassificationError = 0.30644531 * 10240; time = 0.0477s; samplesPerSecond = 214706.6
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.92404175 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0477s; samplesPerSecond = 214900.3
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.91414795 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0476s; samplesPerSecond = 215008.6
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94405212 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0478s; samplesPerSecond = 214239.4
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91607666 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0478s; samplesPerSecond = 214306.6
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91793213 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0481s; samplesPerSecond = 212894.2
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.91796875 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0485s; samplesPerSecond = 211129.7
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91651611 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0484s; samplesPerSecond = 211614.0
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92321777 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0483s; samplesPerSecond = 212201.6
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91448364 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91786499 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0486s; samplesPerSecond = 210777.7
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.91737671 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0485s; samplesPerSecond = 211199.3
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93573608 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0484s; samplesPerSecond = 211426.1
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.90506592 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0483s; samplesPerSecond = 212003.9
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.92664795 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0482s; samplesPerSecond = 212302.8
11/24/2016 20:16:47:  Epoch[20 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91633301 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0481s; samplesPerSecond = 213062.6
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.93919067 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0476s; samplesPerSecond = 215252.7
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91898804 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0479s; samplesPerSecond = 213787.6
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.91413574 * 10240; EvalClassificationError = 0.29208984 * 10240; time = 0.0478s; samplesPerSecond = 214140.8
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93236084 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0480s; samplesPerSecond = 213177.9
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92702637 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0479s; samplesPerSecond = 213894.8
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91673584 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0478s; samplesPerSecond = 214127.4
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93649292 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0476s; samplesPerSecond = 215257.2
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93276978 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.93020630 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.92637939 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0479s; samplesPerSecond = 213631.5
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.92066040 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0479s; samplesPerSecond = 213917.1
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91001587 * 10240; EvalClassificationError = 0.29296875 * 10240; time = 0.0477s; samplesPerSecond = 214576.1
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.91253052 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0482s; samplesPerSecond = 212474.6
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.92588501 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0477s; samplesPerSecond = 214855.2
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93925171 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0478s; samplesPerSecond = 214432.3
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92485962 * 10240; EvalClassificationError = 0.30644531 * 10240; time = 0.0477s; samplesPerSecond = 214612.1
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.91910400 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.91784058 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.89514160 * 10240; EvalClassificationError = 0.28720703 * 10240; time = 0.0477s; samplesPerSecond = 214868.7
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92384644 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0478s; samplesPerSecond = 214338.0
11/24/2016 20:16:48:  Epoch[20 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91113281 * 10240; EvalClassificationError = 0.29111328 * 10240; time = 0.0477s; samplesPerSecond = 214585.1
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.93051147 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0478s; samplesPerSecond = 214320.1
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93394775 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0477s; samplesPerSecond = 214549.1
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91882324 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0478s; samplesPerSecond = 214279.7
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.92202148 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0478s; samplesPerSecond = 214114.0
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.93640137 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0477s; samplesPerSecond = 214823.7
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93654175 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0480s; samplesPerSecond = 213133.5
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91654663 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0478s; samplesPerSecond = 214064.7
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.91395874 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0479s; samplesPerSecond = 213876.9
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.93201904 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0484s; samplesPerSecond = 211570.2
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93251343 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0486s; samplesPerSecond = 210886.2
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.90140991 * 10240; EvalClassificationError = 0.28759766 * 10240; time = 0.0485s; samplesPerSecond = 211121.0
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.93001099 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0486s; samplesPerSecond = 210903.5
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95435791 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0484s; samplesPerSecond = 211513.4
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.91892700 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0491s; samplesPerSecond = 208520.0
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92760010 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0484s; samplesPerSecond = 211749.6
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92319946 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0481s; samplesPerSecond = 212730.6
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91725464 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0486s; samplesPerSecond = 210595.6
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92661743 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0484s; samplesPerSecond = 211439.2
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94015503 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0484s; samplesPerSecond = 211710.2
11/24/2016 20:16:49:  Epoch[20 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.93252563 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0482s; samplesPerSecond = 212659.9
11/24/2016 20:16:50:  Epoch[20 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91157227 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0485s; samplesPerSecond = 211317.0
11/24/2016 20:16:50:  Epoch[20 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.90733643 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:16:50:  Epoch[20 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.92211914 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0481s; samplesPerSecond = 212867.7
11/24/2016 20:16:50: Finished Epoch[20 of 25]: [Training] CrossEntropyWithSoftmax = 0.92467287 * 1124823; EvalClassificationError = 0.29978050 * 1124823; totalSamplesSeen = 22496460; learningRatePerSample = 7.8124998e-05; epochTime=5.45099s
11/24/2016 20:16:50: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.20'

11/24/2016 20:16:50: Starting Epoch 21: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 20: frames [22496460..23621283] (first utterance at frame 22496460), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:50: Starting minibatch loop.
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93244276 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0507s; samplesPerSecond = 201805.2
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.93218145 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0483s; samplesPerSecond = 212008.3
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.93403378 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0482s; samplesPerSecond = 212232.4
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.91522331 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0484s; samplesPerSecond = 211465.4
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.93174782 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0485s; samplesPerSecond = 211160.1
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93572388 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0486s; samplesPerSecond = 210548.0
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91546021 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0484s; samplesPerSecond = 211360.6
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92286072 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0485s; samplesPerSecond = 210960.0
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93596878 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0484s; samplesPerSecond = 211447.9
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.90287094 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0483s; samplesPerSecond = 212135.7
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91716690 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0483s; samplesPerSecond = 212008.3
11/24/2016 20:16:50:  Epoch[21 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.90383835 * 10240; EvalClassificationError = 0.28867188 * 10240; time = 0.0483s; samplesPerSecond = 211867.9
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.92561111 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0484s; samplesPerSecond = 211592.1
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91922302 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0483s; samplesPerSecond = 211797.8
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.94225769 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0479s; samplesPerSecond = 213685.0
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.93967438 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0477s; samplesPerSecond = 214868.7
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93344879 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0485s; samplesPerSecond = 211007.9
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.94199829 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0484s; samplesPerSecond = 211697.1
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91129761 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0483s; samplesPerSecond = 211920.5
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93399506 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0482s; samplesPerSecond = 212483.4
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93570099 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0485s; samplesPerSecond = 211273.4
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92328796 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0482s; samplesPerSecond = 212434.9
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.89814606 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0486s; samplesPerSecond = 210686.6
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.92248230 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0484s; samplesPerSecond = 211434.8
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.92054749 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0484s; samplesPerSecond = 211413.0
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91845245 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0484s; samplesPerSecond = 211675.2
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91811218 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0484s; samplesPerSecond = 211496.0
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92907715 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93422241 * 10240; EvalClassificationError = 0.31025391 * 10240; time = 0.0484s; samplesPerSecond = 211565.9
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.92945862 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0482s; samplesPerSecond = 212338.0
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93586121 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0483s; samplesPerSecond = 211824.1
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.90762634 * 10240; EvalClassificationError = 0.29169922 * 10240; time = 0.0485s; samplesPerSecond = 211073.1
11/24/2016 20:16:51:  Epoch[21 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.91922302 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0482s; samplesPerSecond = 212263.2
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.93380737 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0484s; samplesPerSecond = 211378.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92711792 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0482s; samplesPerSecond = 212245.6
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92301636 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0483s; samplesPerSecond = 211995.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92908325 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0486s; samplesPerSecond = 210847.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.94363708 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0483s; samplesPerSecond = 211872.3
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.92274780 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0482s; samplesPerSecond = 212593.7
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.93009644 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0482s; samplesPerSecond = 212470.2
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92586060 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0484s; samplesPerSecond = 211705.8
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92797852 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0483s; samplesPerSecond = 212122.5
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92580566 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0483s; samplesPerSecond = 211981.9
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92912292 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0487s; samplesPerSecond = 210470.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93404846 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0482s; samplesPerSecond = 212545.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.93344421 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0484s; samplesPerSecond = 211587.7
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.92117615 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0482s; samplesPerSecond = 212245.6
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91573792 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0485s; samplesPerSecond = 211308.3
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.92128296 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0483s; samplesPerSecond = 211789.0
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92782898 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0485s; samplesPerSecond = 211282.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.94154053 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0485s; samplesPerSecond = 211160.1
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90508728 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0482s; samplesPerSecond = 212461.4
11/24/2016 20:16:52:  Epoch[21 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.92394409 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0483s; samplesPerSecond = 211859.1
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.92177734 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0484s; samplesPerSecond = 211657.7
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.90013123 * 10240; EvalClassificationError = 0.29511719 * 10240; time = 0.0482s; samplesPerSecond = 212245.6
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.92487183 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0480s; samplesPerSecond = 213551.3
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91212158 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0479s; samplesPerSecond = 213636.0
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92260742 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0480s; samplesPerSecond = 213520.2
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91891479 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0479s; samplesPerSecond = 213939.5
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91168823 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0479s; samplesPerSecond = 213921.6
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92473755 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.90541382 * 10240; EvalClassificationError = 0.29169922 * 10240; time = 0.0478s; samplesPerSecond = 214114.0
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91676636 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93807373 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0484s; samplesPerSecond = 211592.1
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91334839 * 10240; EvalClassificationError = 0.29218750 * 10240; time = 0.0484s; samplesPerSecond = 211561.5
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91196289 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0483s; samplesPerSecond = 211929.3
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92529297 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0482s; samplesPerSecond = 212483.4
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.92006836 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0484s; samplesPerSecond = 211439.2
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92698364 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0484s; samplesPerSecond = 211500.3
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94416504 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0483s; samplesPerSecond = 211986.3
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92153931 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0485s; samplesPerSecond = 211299.6
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93859253 * 10240; EvalClassificationError = 0.30546875 * 10240; time = 0.0484s; samplesPerSecond = 211456.7
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92658081 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0483s; samplesPerSecond = 212069.8
11/24/2016 20:16:53:  Epoch[21 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.93148804 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0484s; samplesPerSecond = 211701.5
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91316528 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.90802002 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0482s; samplesPerSecond = 212443.7
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90819092 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0479s; samplesPerSecond = 213618.2
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90722046 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0476s; samplesPerSecond = 214904.8
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91734009 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0477s; samplesPerSecond = 214670.6
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.90100098 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0480s; samplesPerSecond = 213200.1
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92333984 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0484s; samplesPerSecond = 211614.0
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.90214233 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.90554199 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0483s; samplesPerSecond = 211885.4
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91465454 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0481s; samplesPerSecond = 213005.0
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.91067505 * 10240; EvalClassificationError = 0.29062500 * 10240; time = 0.0484s; samplesPerSecond = 211688.3
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.94115601 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0483s; samplesPerSecond = 211850.4
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92518311 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0484s; samplesPerSecond = 211719.0
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92926025 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0483s; samplesPerSecond = 212047.8
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91874390 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0484s; samplesPerSecond = 211408.6
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91857300 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0485s; samplesPerSecond = 211081.8
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.94144897 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0485s; samplesPerSecond = 211121.0
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92174683 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0486s; samplesPerSecond = 210656.2
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.94641724 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0484s; samplesPerSecond = 211727.7
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.91917725 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0484s; samplesPerSecond = 211579.0
11/24/2016 20:16:54:  Epoch[21 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90997314 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0483s; samplesPerSecond = 212104.9
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.90910034 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0483s; samplesPerSecond = 212104.9
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93738403 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0483s; samplesPerSecond = 211889.8
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91632080 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0478s; samplesPerSecond = 214338.0
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92755127 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0479s; samplesPerSecond = 213689.5
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92038574 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0483s; samplesPerSecond = 212030.2
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92164307 * 10240; EvalClassificationError = 0.29296875 * 10240; time = 0.0482s; samplesPerSecond = 212386.4
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91694336 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0484s; samplesPerSecond = 211701.5
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.90361938 * 10240; EvalClassificationError = 0.29062500 * 10240; time = 0.0484s; samplesPerSecond = 211609.6
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92078857 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0483s; samplesPerSecond = 211802.2
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91716309 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0483s; samplesPerSecond = 211916.1
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.90675659 * 10240; EvalClassificationError = 0.29365234 * 10240; time = 0.0484s; samplesPerSecond = 211565.9
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.93090820 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0484s; samplesPerSecond = 211631.5
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.92387695 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0484s; samplesPerSecond = 211496.0
11/24/2016 20:16:55:  Epoch[21 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.93471069 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0484s; samplesPerSecond = 211749.6
11/24/2016 20:16:55: Finished Epoch[21 of 25]: [Training] CrossEntropyWithSoftmax = 0.92282719 * 1124823; EvalClassificationError = 0.29925153 * 1124823; totalSamplesSeen = 23621283; learningRatePerSample = 7.8124998e-05; epochTime=5.49001s
11/24/2016 20:16:55: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.21'

11/24/2016 20:16:55: Starting Epoch 22: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 21: frames [23621283..24746106] (first utterance at frame 23621283), data subset 0 of 1, with 1 datapasses

11/24/2016 20:16:55: Starting minibatch loop.
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.92320318 * 10240; EvalClassificationError = 0.30986328 * 10240; time = 0.0508s; samplesPerSecond = 201701.9
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.91832399 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0484s; samplesPerSecond = 211386.8
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.90690517 * 10240; EvalClassificationError = 0.29189453 * 10240; time = 0.0481s; samplesPerSecond = 212699.7
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.92631664 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0475s; samplesPerSecond = 215361.3
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92593689 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0476s; samplesPerSecond = 214918.4
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93246651 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0478s; samplesPerSecond = 214360.5
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91569786 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0478s; samplesPerSecond = 214105.0
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.89719315 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0477s; samplesPerSecond = 214697.6
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.92488480 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92295456 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0477s; samplesPerSecond = 214841.7
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91446457 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0478s; samplesPerSecond = 214400.9
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.93682556 * 10240; EvalClassificationError = 0.30244141 * 10240; time = 0.0479s; samplesPerSecond = 213676.1
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.89916306 * 10240; EvalClassificationError = 0.29677734 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.92812958 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0480s; samplesPerSecond = 213275.6
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.93550568 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0482s; samplesPerSecond = 212329.2
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91875763 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0485s; samplesPerSecond = 211203.7
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.92179413 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0485s; samplesPerSecond = 211234.2
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92866669 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0485s; samplesPerSecond = 211321.4
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91638336 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0484s; samplesPerSecond = 211736.5
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.91178131 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0483s; samplesPerSecond = 211859.1
11/24/2016 20:16:56:  Epoch[22 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93080292 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0482s; samplesPerSecond = 212333.6
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.91581573 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0486s; samplesPerSecond = 210803.7
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92534637 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0487s; samplesPerSecond = 210189.3
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.94310913 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0480s; samplesPerSecond = 213364.4
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.91562347 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0479s; samplesPerSecond = 213765.3
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91837616 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0477s; samplesPerSecond = 214580.6
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92332611 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0479s; samplesPerSecond = 213769.8
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91229706 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0481s; samplesPerSecond = 213062.6
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.94828186 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0478s; samplesPerSecond = 214145.3
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.90902100 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0476s; samplesPerSecond = 215031.2
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93387451 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0483s; samplesPerSecond = 212113.7
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92183533 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0485s; samplesPerSecond = 211269.1
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.92944031 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0484s; samplesPerSecond = 211474.1
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91420288 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0482s; samplesPerSecond = 212412.9
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92488098 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0482s; samplesPerSecond = 212456.9
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.93328247 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0483s; samplesPerSecond = 212087.3
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.91943665 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0484s; samplesPerSecond = 211565.9
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.90676575 * 10240; EvalClassificationError = 0.29511719 * 10240; time = 0.0484s; samplesPerSecond = 211482.9
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91807861 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0482s; samplesPerSecond = 212298.4
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92396851 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92244263 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0484s; samplesPerSecond = 211679.6
11/24/2016 20:16:57:  Epoch[22 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.93152771 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0481s; samplesPerSecond = 212712.9
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.91448059 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0484s; samplesPerSecond = 211670.8
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.93092651 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0483s; samplesPerSecond = 211938.1
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.92271423 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0477s; samplesPerSecond = 214873.3
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92522278 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0477s; samplesPerSecond = 214864.2
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.94217834 * 10240; EvalClassificationError = 0.30820313 * 10240; time = 0.0478s; samplesPerSecond = 214418.8
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92092896 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0483s; samplesPerSecond = 212052.2
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90257568 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0484s; samplesPerSecond = 211640.2
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92976990 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0490s; samplesPerSecond = 208770.8
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93170166 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0485s; samplesPerSecond = 211221.1
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.92228088 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0483s; samplesPerSecond = 211854.8
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91381531 * 10240; EvalClassificationError = 0.29296875 * 10240; time = 0.0484s; samplesPerSecond = 211679.6
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91781006 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92335510 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0485s; samplesPerSecond = 211264.7
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93642273 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0483s; samplesPerSecond = 211810.9
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.92701416 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0485s; samplesPerSecond = 211212.4
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.93013916 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0484s; samplesPerSecond = 211509.1
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93920288 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0484s; samplesPerSecond = 211404.3
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.90723877 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0481s; samplesPerSecond = 212774.8
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94412842 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0485s; samplesPerSecond = 211203.7
11/24/2016 20:16:58:  Epoch[22 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.91100464 * 10240; EvalClassificationError = 0.28876953 * 10240; time = 0.0483s; samplesPerSecond = 211854.8
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91910400 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0483s; samplesPerSecond = 211968.8
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.89729004 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0485s; samplesPerSecond = 211242.9
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.92239380 * 10240; EvalClassificationError = 0.29267578 * 10240; time = 0.0483s; samplesPerSecond = 211933.7
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.89135132 * 10240; EvalClassificationError = 0.28330078 * 10240; time = 0.0479s; samplesPerSecond = 213957.4
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93192749 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0478s; samplesPerSecond = 214338.0
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93386230 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0481s; samplesPerSecond = 212973.9
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92660522 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0481s; samplesPerSecond = 212699.7
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.90769043 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0480s; samplesPerSecond = 213266.7
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.90621948 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0477s; samplesPerSecond = 214544.6
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91251831 * 10240; EvalClassificationError = 0.28964844 * 10240; time = 0.0484s; samplesPerSecond = 211474.1
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93372803 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0484s; samplesPerSecond = 211701.5
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.91828613 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0486s; samplesPerSecond = 210855.8
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.90493164 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0483s; samplesPerSecond = 212148.8
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91452637 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0484s; samplesPerSecond = 211496.0
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91541138 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0484s; samplesPerSecond = 211701.5
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90562744 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0485s; samplesPerSecond = 211116.6
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.89529419 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0483s; samplesPerSecond = 212056.6
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92443237 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0483s; samplesPerSecond = 211929.3
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93190918 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0483s; samplesPerSecond = 211973.2
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92266235 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0482s; samplesPerSecond = 212289.6
11/24/2016 20:16:59:  Epoch[22 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.92116089 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0481s; samplesPerSecond = 212872.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91617432 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0484s; samplesPerSecond = 211697.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.94077759 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0483s; samplesPerSecond = 211802.2
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91918335 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0483s; samplesPerSecond = 211951.2
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.91712036 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0476s; samplesPerSecond = 215325.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93112183 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0477s; samplesPerSecond = 214814.7
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.90927734 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91260376 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0478s; samplesPerSecond = 214347.0
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91268311 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0480s; samplesPerSecond = 213542.4
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.95058594 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0477s; samplesPerSecond = 214472.7
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.90930176 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.90140991 * 10240; EvalClassificationError = 0.29042969 * 10240; time = 0.0478s; samplesPerSecond = 214002.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.91130371 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0476s; samplesPerSecond = 214981.5
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93999634 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0481s; samplesPerSecond = 212796.9
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93157349 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0483s; samplesPerSecond = 211889.8
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91148682 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0484s; samplesPerSecond = 211478.5
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92282715 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0485s; samplesPerSecond = 211195.0
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.90675659 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0484s; samplesPerSecond = 211478.5
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.90839233 * 10240; EvalClassificationError = 0.29462891 * 10240; time = 0.0484s; samplesPerSecond = 211552.8
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.89578857 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0483s; samplesPerSecond = 212118.1
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91564941 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0484s; samplesPerSecond = 211574.6
11/24/2016 20:17:00:  Epoch[22 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92686157 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0484s; samplesPerSecond = 211640.2
11/24/2016 20:17:01:  Epoch[22 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.93945312 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0484s; samplesPerSecond = 211740.9
11/24/2016 20:17:01:  Epoch[22 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92767334 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0482s; samplesPerSecond = 212254.4
11/24/2016 20:17:01:  Epoch[22 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94364014 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0482s; samplesPerSecond = 212602.5
11/24/2016 20:17:01:  Epoch[22 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.92229614 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0482s; samplesPerSecond = 212545.1
11/24/2016 20:17:01:  Epoch[22 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94110107 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0482s; samplesPerSecond = 212355.6
11/24/2016 20:17:01: Finished Epoch[22 of 25]: [Training] CrossEntropyWithSoftmax = 0.92133996 * 1124823; EvalClassificationError = 0.29882657 * 1124823; totalSamplesSeen = 24746106; learningRatePerSample = 7.8124998e-05; epochTime=5.47809s
11/24/2016 20:17:01: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.22'

11/24/2016 20:17:01: Starting Epoch 23: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 22: frames [24746106..25870929] (first utterance at frame 24746106), data subset 0 of 1, with 1 datapasses

11/24/2016 20:17:01: Starting minibatch loop.
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.91941853 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0498s; samplesPerSecond = 205787.8
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.90332088 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0477s; samplesPerSecond = 214513.2
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.93413620 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0477s; samplesPerSecond = 214688.6
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.92594681 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0476s; samplesPerSecond = 215239.1
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.93862457 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0476s; samplesPerSecond = 214999.6
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.92794685 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0476s; samplesPerSecond = 215302.5
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91426811 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0477s; samplesPerSecond = 214819.2
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.91253586 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0475s; samplesPerSecond = 215674.3
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.92108078 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0475s; samplesPerSecond = 215565.3
11/24/2016 20:17:01:  Epoch[23 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93874664 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0477s; samplesPerSecond = 214823.7
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91154861 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92507935 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0478s; samplesPerSecond = 214212.5
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.91353302 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0477s; samplesPerSecond = 214481.7
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.94025726 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0478s; samplesPerSecond = 214051.3
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92291412 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0476s; samplesPerSecond = 214999.6
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.92196960 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0475s; samplesPerSecond = 215492.8
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.90935516 * 10240; EvalClassificationError = 0.28681641 * 10240; time = 0.0479s; samplesPerSecond = 213890.3
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92854156 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0478s; samplesPerSecond = 214024.5
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91873474 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0477s; samplesPerSecond = 214661.6
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.91655884 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0477s; samplesPerSecond = 214796.6
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91195221 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0476s; samplesPerSecond = 215108.0
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.90789795 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0477s; samplesPerSecond = 214828.2
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.94969482 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91657562 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0478s; samplesPerSecond = 214230.4
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.91105347 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0477s; samplesPerSecond = 214675.1
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.89753876 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0476s; samplesPerSecond = 215311.5
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91837006 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0475s; samplesPerSecond = 215556.3
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91804962 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0477s; samplesPerSecond = 214679.6
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.91748657 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0475s; samplesPerSecond = 215574.4
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91025391 * 10240; EvalClassificationError = 0.29511719 * 10240; time = 0.0476s; samplesPerSecond = 215144.1
11/24/2016 20:17:02:  Epoch[23 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.90252686 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.91641235 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0477s; samplesPerSecond = 214738.1
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.90992126 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0476s; samplesPerSecond = 215058.3
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.90366516 * 10240; EvalClassificationError = 0.29023437 * 10240; time = 0.0477s; samplesPerSecond = 214832.7
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.91102295 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0476s; samplesPerSecond = 215343.2
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92174683 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0478s; samplesPerSecond = 214091.6
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.94413757 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93571167 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0476s; samplesPerSecond = 215139.6
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.89682312 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0476s; samplesPerSecond = 215293.4
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92003174 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0478s; samplesPerSecond = 214369.5
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.91447144 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0476s; samplesPerSecond = 214954.4
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92726135 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0481s; samplesPerSecond = 212761.5
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.90950012 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0486s; samplesPerSecond = 210886.2
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92391968 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0486s; samplesPerSecond = 210799.3
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.91452026 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0484s; samplesPerSecond = 211627.1
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92361145 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0487s; samplesPerSecond = 210422.5
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93435669 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0486s; samplesPerSecond = 210625.9
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.89624329 * 10240; EvalClassificationError = 0.28955078 * 10240; time = 0.0483s; samplesPerSecond = 211894.2
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90551147 * 10240; EvalClassificationError = 0.29160156 * 10240; time = 0.0483s; samplesPerSecond = 211960.0
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.94876709 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0483s; samplesPerSecond = 212043.4
11/24/2016 20:17:03:  Epoch[23 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.91778564 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0483s; samplesPerSecond = 211793.4
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.93052368 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0483s; samplesPerSecond = 211946.8
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.93664551 * 10240; EvalClassificationError = 0.30917969 * 10240; time = 0.0486s; samplesPerSecond = 210903.5
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93433533 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0483s; samplesPerSecond = 211920.5
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92213135 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0483s; samplesPerSecond = 211806.6
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.89936523 * 10240; EvalClassificationError = 0.28818359 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91967163 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0487s; samplesPerSecond = 210344.7
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.91701050 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0479s; samplesPerSecond = 213948.4
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91076660 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0481s; samplesPerSecond = 212796.9
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91448975 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0481s; samplesPerSecond = 212836.7
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92440796 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0477s; samplesPerSecond = 214517.6
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92734985 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0477s; samplesPerSecond = 214648.1
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91129150 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0485s; samplesPerSecond = 211277.8
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.94190063 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0485s; samplesPerSecond = 211107.9
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.90807495 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0483s; samplesPerSecond = 212201.6
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.92344360 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0482s; samplesPerSecond = 212509.9
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92149048 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0485s; samplesPerSecond = 211055.7
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.92684937 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0483s; samplesPerSecond = 211903.0
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.90213623 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0484s; samplesPerSecond = 211740.9
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92239990 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0483s; samplesPerSecond = 211955.6
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91235352 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0484s; samplesPerSecond = 211417.4
11/24/2016 20:17:04:  Epoch[23 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91342163 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0484s; samplesPerSecond = 211395.5
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.91732178 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0485s; samplesPerSecond = 211286.5
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92089233 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0485s; samplesPerSecond = 211203.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.92233276 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0482s; samplesPerSecond = 212412.9
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91884766 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0478s; samplesPerSecond = 214060.2
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90974731 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94075928 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.95167847 * 10240; EvalClassificationError = 0.31035156 * 10240; time = 0.0477s; samplesPerSecond = 214630.1
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92825317 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0479s; samplesPerSecond = 213948.4
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92061157 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0479s; samplesPerSecond = 213952.9
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94171753 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0477s; samplesPerSecond = 214823.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.94104614 * 10240; EvalClassificationError = 0.30996094 * 10240; time = 0.0480s; samplesPerSecond = 213391.1
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91322632 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0485s; samplesPerSecond = 210947.0
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.90487061 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0484s; samplesPerSecond = 211670.8
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92014771 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0483s; samplesPerSecond = 212012.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92587280 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0480s; samplesPerSecond = 213346.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.90587769 * 10240; EvalClassificationError = 0.28623047 * 10240; time = 0.0482s; samplesPerSecond = 212272.0
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.89998169 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0482s; samplesPerSecond = 212377.6
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.90634766 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0485s; samplesPerSecond = 211112.3
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91440430 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0482s; samplesPerSecond = 212593.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92606201 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0483s; samplesPerSecond = 211933.7
11/24/2016 20:17:05:  Epoch[23 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92048950 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0483s; samplesPerSecond = 211872.3
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.93728027 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0484s; samplesPerSecond = 211749.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90932617 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0482s; samplesPerSecond = 212338.0
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92076416 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0478s; samplesPerSecond = 214320.1
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91994019 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0478s; samplesPerSecond = 214239.4
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.92297974 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0476s; samplesPerSecond = 214927.4
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.90955200 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0477s; samplesPerSecond = 214571.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.91339111 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0478s; samplesPerSecond = 214208.0
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92780762 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92141113 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0477s; samplesPerSecond = 214801.1
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.92026978 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0478s; samplesPerSecond = 214239.4
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92391357 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0474s; samplesPerSecond = 216020.1
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91195068 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0476s; samplesPerSecond = 215017.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.93968506 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0477s; samplesPerSecond = 214517.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.90863647 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0476s; samplesPerSecond = 215320.6
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.91534424 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0474s; samplesPerSecond = 215924.4
11/24/2016 20:17:06:  Epoch[23 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.90889893 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0477s; samplesPerSecond = 214643.6
11/24/2016 20:17:06: Finished Epoch[23 of 25]: [Training] CrossEntropyWithSoftmax = 0.91998636 * 1124823; EvalClassificationError = 0.29821492 * 1124823; totalSamplesSeen = 25870929; learningRatePerSample = 7.8124998e-05; epochTime=5.45197s
11/24/2016 20:17:06: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.23'

11/24/2016 20:17:06: Starting Epoch 24: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 23: frames [25870929..26995752] (first utterance at frame 25870929), data subset 0 of 1, with 1 datapasses

11/24/2016 20:17:07: Starting minibatch loop.
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.92328482 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0500s; samplesPerSecond = 204910.7
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.91342287 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0479s; samplesPerSecond = 213698.4
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.89108601 * 10240; EvalClassificationError = 0.28964844 * 10240; time = 0.0476s; samplesPerSecond = 215288.9
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.90627956 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0482s; samplesPerSecond = 212404.1
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92169914 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0478s; samplesPerSecond = 214033.4
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93884048 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0479s; samplesPerSecond = 213984.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92062912 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0478s; samplesPerSecond = 214275.3
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92072830 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0477s; samplesPerSecond = 214643.6
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.91049500 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0476s; samplesPerSecond = 215320.6
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.89003143 * 10240; EvalClassificationError = 0.28564453 * 10240; time = 0.0486s; samplesPerSecond = 210886.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.92309952 * 10240; EvalClassificationError = 0.30039063 * 10240; time = 0.0485s; samplesPerSecond = 211225.5
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.91659012 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0486s; samplesPerSecond = 210899.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.91546097 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0484s; samplesPerSecond = 211605.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91651154 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0484s; samplesPerSecond = 211710.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91459961 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0484s; samplesPerSecond = 211574.6
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91644745 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.90256348 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0485s; samplesPerSecond = 211086.1
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.91792908 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0487s; samplesPerSecond = 210284.2
11/24/2016 20:17:07:  Epoch[24 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91334229 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0485s; samplesPerSecond = 211203.7
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93254700 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0485s; samplesPerSecond = 211256.0
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.92868347 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0483s; samplesPerSecond = 211854.8
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.93401489 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0483s; samplesPerSecond = 212148.8
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92197876 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0477s; samplesPerSecond = 214468.2
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.90122223 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0478s; samplesPerSecond = 214306.6
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.90943146 * 10240; EvalClassificationError = 0.29316406 * 10240; time = 0.0478s; samplesPerSecond = 214069.2
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91110382 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0476s; samplesPerSecond = 215325.1
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91674042 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0478s; samplesPerSecond = 214365.0
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92409363 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0478s; samplesPerSecond = 214149.8
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93126221 * 10240; EvalClassificationError = 0.30849609 * 10240; time = 0.0477s; samplesPerSecond = 214621.1
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91484680 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0478s; samplesPerSecond = 214011.0
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91644287 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0479s; samplesPerSecond = 213569.1
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.91514893 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93418884 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0480s; samplesPerSecond = 213524.6
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.92217102 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0481s; samplesPerSecond = 213009.4
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92411194 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0479s; samplesPerSecond = 213863.5
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.91343689 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0479s; samplesPerSecond = 213850.1
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.90298157 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0478s; samplesPerSecond = 214145.3
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.91802979 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0479s; samplesPerSecond = 213832.3
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91991882 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0478s; samplesPerSecond = 214409.8
11/24/2016 20:17:08:  Epoch[24 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91458740 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0478s; samplesPerSecond = 214225.9
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.90407410 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0476s; samplesPerSecond = 215135.1
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.91603699 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92913818 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0477s; samplesPerSecond = 214594.1
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92139893 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0478s; samplesPerSecond = 214091.6
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.92620239 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0478s; samplesPerSecond = 214297.7
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.90895081 * 10240; EvalClassificationError = 0.29404297 * 10240; time = 0.0478s; samplesPerSecond = 214194.6
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.91984253 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0480s; samplesPerSecond = 213520.2
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92282715 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0478s; samplesPerSecond = 214145.3
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.89761658 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0480s; samplesPerSecond = 213360.0
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.90707703 * 10240; EvalClassificationError = 0.28847656 * 10240; time = 0.0479s; samplesPerSecond = 213993.1
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.90921326 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0478s; samplesPerSecond = 214037.9
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90741272 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0480s; samplesPerSecond = 213306.7
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91073303 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0478s; samplesPerSecond = 214217.0
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.90306396 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0479s; samplesPerSecond = 213627.1
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92077332 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0478s; samplesPerSecond = 214225.9
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93547974 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0478s; samplesPerSecond = 214302.2
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93475952 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0478s; samplesPerSecond = 214324.6
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.89725342 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0479s; samplesPerSecond = 213894.8
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93463745 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0479s; samplesPerSecond = 213903.7
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91517944 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0484s; samplesPerSecond = 211587.7
11/24/2016 20:17:09:  Epoch[24 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92265015 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0484s; samplesPerSecond = 211570.2
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92607422 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0484s; samplesPerSecond = 211675.2
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.93416748 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0486s; samplesPerSecond = 210825.4
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93150635 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0478s; samplesPerSecond = 214284.2
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.92722778 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0480s; samplesPerSecond = 213151.3
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91926880 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0475s; samplesPerSecond = 215379.4
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91897583 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0480s; samplesPerSecond = 213333.3
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93829346 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0478s; samplesPerSecond = 214114.0
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.91841431 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0478s; samplesPerSecond = 214181.1
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.93000488 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0478s; samplesPerSecond = 214261.8
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91309204 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0477s; samplesPerSecond = 214522.1
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.90836792 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0482s; samplesPerSecond = 212412.9
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.91804199 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0484s; samplesPerSecond = 211513.4
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92451782 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0484s; samplesPerSecond = 211600.9
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.90864258 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0485s; samplesPerSecond = 211186.3
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91780396 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0482s; samplesPerSecond = 212258.8
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91058960 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0484s; samplesPerSecond = 211574.6
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90440674 * 10240; EvalClassificationError = 0.29472656 * 10240; time = 0.0484s; samplesPerSecond = 211714.6
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.90393677 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0484s; samplesPerSecond = 211443.6
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93255005 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0485s; samplesPerSecond = 211290.9
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.91839600 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0486s; samplesPerSecond = 210682.2
11/24/2016 20:17:10:  Epoch[24 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92957764 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0485s; samplesPerSecond = 211177.6
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.90792847 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0485s; samplesPerSecond = 211173.2
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92796631 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0484s; samplesPerSecond = 211775.9
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92390137 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0483s; samplesPerSecond = 211859.1
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91986694 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0485s; samplesPerSecond = 210981.8
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92627563 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0480s; samplesPerSecond = 213324.4
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.91008911 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0479s; samplesPerSecond = 213961.8
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.90825806 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0476s; samplesPerSecond = 215108.0
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91718750 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0479s; samplesPerSecond = 213649.4
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92273560 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0476s; samplesPerSecond = 214940.9
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.91773071 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0475s; samplesPerSecond = 215397.6
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.93193970 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0482s; samplesPerSecond = 212382.0
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.89740601 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0487s; samplesPerSecond = 210232.4
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.92718506 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0483s; samplesPerSecond = 211951.2
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92280273 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0483s; samplesPerSecond = 211924.9
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.92400513 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0482s; samplesPerSecond = 212434.9
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91494751 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0484s; samplesPerSecond = 211789.0
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.94534912 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0484s; samplesPerSecond = 211640.2
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92779541 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0484s; samplesPerSecond = 211452.3
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.93732910 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0486s; samplesPerSecond = 210708.3
11/24/2016 20:17:11:  Epoch[24 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92174072 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0483s; samplesPerSecond = 212126.9
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.93767700 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0484s; samplesPerSecond = 211644.6
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.91182861 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0485s; samplesPerSecond = 210920.9
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91152954 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0480s; samplesPerSecond = 213111.3
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.91478882 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0480s; samplesPerSecond = 213426.7
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91663208 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0478s; samplesPerSecond = 214356.0
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93968506 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0478s; samplesPerSecond = 214423.3
11/24/2016 20:17:12:  Epoch[24 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91503906 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0476s; samplesPerSecond = 215130.6
11/24/2016 20:17:12: Finished Epoch[24 of 25]: [Training] CrossEntropyWithSoftmax = 0.91875066 * 1124823; EvalClassificationError = 0.29798733 * 1124823; totalSamplesSeen = 26995752; learningRatePerSample = 7.8124998e-05; epochTime=5.46716s
11/24/2016 20:17:12: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.24'

11/24/2016 20:17:12: Starting Epoch 25: learning rate per sample = 0.000078  effective momentum = 0.900000  momentum as time constant = 9719.0 samples
minibatchiterator: epoch 24: frames [26995752..28120575] (first utterance at frame 26995752), data subset 0 of 1, with 1 datapasses

11/24/2016 20:17:12: Starting minibatch loop.
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.91208658 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0498s; samplesPerSecond = 205725.8
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92901793 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0478s; samplesPerSecond = 214261.8
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.94017944 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0476s; samplesPerSecond = 215022.2
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.90766983 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0477s; samplesPerSecond = 214513.2
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.89747200 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0481s; samplesPerSecond = 212819.0
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93102684 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91477470 * 10240; EvalClassificationError = 0.29404297 * 10240; time = 0.0482s; samplesPerSecond = 212408.5
11/24/2016 20:17:12:  Epoch[25 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.91811981 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0484s; samplesPerSecond = 211627.1
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.91578293 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0482s; samplesPerSecond = 212571.6
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.91356583 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0484s; samplesPerSecond = 211504.7
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.92525482 * 10240; EvalClassificationError = 0.29365234 * 10240; time = 0.0480s; samplesPerSecond = 213257.8
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92848969 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0476s; samplesPerSecond = 214977.0
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.90473328 * 10240; EvalClassificationError = 0.29267578 * 10240; time = 0.0475s; samplesPerSecond = 215633.4
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.92222977 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0476s; samplesPerSecond = 215166.7
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91938629 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0475s; samplesPerSecond = 215356.8
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.90070496 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0475s; samplesPerSecond = 215797.0
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.89667969 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0475s; samplesPerSecond = 215733.4
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.91112518 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0475s; samplesPerSecond = 215370.4
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91466370 * 10240; EvalClassificationError = 0.29082031 * 10240; time = 0.0477s; samplesPerSecond = 214715.6
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93677063 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0477s; samplesPerSecond = 214805.6
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91056061 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0476s; samplesPerSecond = 215275.3
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.90929413 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.91817780 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0477s; samplesPerSecond = 214490.7
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.89616547 * 10240; EvalClassificationError = 0.28837891 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.89896240 * 10240; EvalClassificationError = 0.28867188 * 10240; time = 0.0476s; samplesPerSecond = 214936.4
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91754761 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0476s; samplesPerSecond = 214972.5
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92837219 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0478s; samplesPerSecond = 214100.5
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91977844 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0476s; samplesPerSecond = 215234.6
11/24/2016 20:17:13:  Epoch[25 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.91726990 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0478s; samplesPerSecond = 214042.3
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.90508118 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0476s; samplesPerSecond = 215089.9
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91136780 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0476s; samplesPerSecond = 215121.5
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.93504333 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0479s; samplesPerSecond = 213859.1
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93460999 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0479s; samplesPerSecond = 213868.0
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91101379 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0478s; samplesPerSecond = 214288.7
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.91987610 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0479s; samplesPerSecond = 213792.1
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.91519775 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0483s; samplesPerSecond = 211986.3
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.89702148 * 10240; EvalClassificationError = 0.29316406 * 10240; time = 0.0481s; samplesPerSecond = 212947.4
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93339539 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0479s; samplesPerSecond = 213578.1
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91153259 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0480s; samplesPerSecond = 213413.4
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91540222 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0480s; samplesPerSecond = 213115.8
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92476807 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0486s; samplesPerSecond = 210699.6
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.90585022 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0484s; samplesPerSecond = 211600.9
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92339783 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0485s; samplesPerSecond = 211286.5
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.91692200 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0484s; samplesPerSecond = 211517.8
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.90428772 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0484s; samplesPerSecond = 211749.6
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92494202 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0484s; samplesPerSecond = 211356.3
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.89723816 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0485s; samplesPerSecond = 211238.6
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92135925 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0484s; samplesPerSecond = 211557.1
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90941467 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0483s; samplesPerSecond = 211824.1
11/24/2016 20:17:14:  Epoch[25 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.90419922 * 10240; EvalClassificationError = 0.28349609 * 10240; time = 0.0486s; samplesPerSecond = 210834.1
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.90725708 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0484s; samplesPerSecond = 211614.0
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.94339905 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0484s; samplesPerSecond = 211600.9
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94253540 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0477s; samplesPerSecond = 214666.1
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91471863 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0478s; samplesPerSecond = 214248.4
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91998291 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0478s; samplesPerSecond = 214230.4
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.90923462 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0478s; samplesPerSecond = 214432.3
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93679199 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0476s; samplesPerSecond = 214945.4
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.89736938 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0478s; samplesPerSecond = 214270.8
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.92739868 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0477s; samplesPerSecond = 214756.1
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91760254 * 10240; EvalClassificationError = 0.29257813 * 10240; time = 0.0477s; samplesPerSecond = 214535.6
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.91359863 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0482s; samplesPerSecond = 212545.1
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93423462 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0483s; samplesPerSecond = 211916.1
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92847900 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0486s; samplesPerSecond = 210664.9
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93107300 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0484s; samplesPerSecond = 211740.9
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.89279785 * 10240; EvalClassificationError = 0.28681641 * 10240; time = 0.0484s; samplesPerSecond = 211622.7
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.92443237 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0486s; samplesPerSecond = 210535.0
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92264404 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0484s; samplesPerSecond = 211452.3
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93008423 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0486s; samplesPerSecond = 210764.6
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.90889893 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0485s; samplesPerSecond = 211321.4
11/24/2016 20:17:15:  Epoch[25 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94473267 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0486s; samplesPerSecond = 210647.6
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91986084 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0485s; samplesPerSecond = 211029.6
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91525879 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0485s; samplesPerSecond = 211286.5
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.90765991 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0482s; samplesPerSecond = 212373.2
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92790527 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0476s; samplesPerSecond = 214959.0
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91585083 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0477s; samplesPerSecond = 214724.6
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91890869 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0476s; samplesPerSecond = 214900.3
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90518188 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0477s; samplesPerSecond = 214450.3
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.92461548 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0476s; samplesPerSecond = 215239.1
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91540527 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0476s; samplesPerSecond = 215252.7
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92216797 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0477s; samplesPerSecond = 214895.8
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93258057 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0476s; samplesPerSecond = 214940.9
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.91142578 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0476s; samplesPerSecond = 215040.2
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.91330566 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0474s; samplesPerSecond = 216024.6
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.90944214 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0475s; samplesPerSecond = 215560.8
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92178345 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0477s; samplesPerSecond = 214783.1
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92628174 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0477s; samplesPerSecond = 214553.6
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92941895 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0478s; samplesPerSecond = 214230.4
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93046265 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0478s; samplesPerSecond = 214279.7
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.89587402 * 10240; EvalClassificationError = 0.29208984 * 10240; time = 0.0479s; samplesPerSecond = 213917.1
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93773193 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0477s; samplesPerSecond = 214747.1
11/24/2016 20:17:16:  Epoch[25 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92526245 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0479s; samplesPerSecond = 213944.0
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93617554 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0477s; samplesPerSecond = 214657.1
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91574707 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0475s; samplesPerSecond = 215715.2
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.90997314 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0476s; samplesPerSecond = 215008.6
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90850830 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0476s; samplesPerSecond = 215320.6
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92993774 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0480s; samplesPerSecond = 213297.8
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91093140 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0476s; samplesPerSecond = 215234.6
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.90999756 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0477s; samplesPerSecond = 214531.1
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92437134 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0474s; samplesPerSecond = 215874.4
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.90198975 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0478s; samplesPerSecond = 214252.8
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.91272583 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0477s; samplesPerSecond = 214873.3
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91094360 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0478s; samplesPerSecond = 214387.4
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91721191 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0483s; samplesPerSecond = 212052.2
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92911377 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0486s; samplesPerSecond = 210899.2
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91797485 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0483s; samplesPerSecond = 212201.6
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92665405 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0483s; samplesPerSecond = 212021.5
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.90495605 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0483s; samplesPerSecond = 212104.9
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.91041870 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0482s; samplesPerSecond = 212390.8
11/24/2016 20:17:17:  Epoch[25 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91621094 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0482s; samplesPerSecond = 212298.4
11/24/2016 20:17:17: Finished Epoch[25 of 25]: [Training] CrossEntropyWithSoftmax = 0.91757042 * 1124823; EvalClassificationError = 0.29763083 * 1124823; totalSamplesSeen = 28120575; learningRatePerSample = 7.8124998e-05; epochTime=5.45296s
11/24/2016 20:17:17: SGD: Saving checkpoint model '/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn'

11/24/2016 20:17:17: Action "train" complete.

11/24/2016 20:17:17: __COMPLETED__
=== Running /home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/build/gpu/release/bin/cntk configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_WriteScaledLogLike.cntk currentDirectory=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData RunDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DataDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config OutputDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DeviceId=0 timestamping=true LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib ScpDir=/home/philly/data/CNTKTestData/Speech/ASR MlfDir=/home/philly/data/CNTKTestData/Speech/ASR NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config ExpDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp DeviceNumber=0 TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]
CNTK 2.0.beta4.0+ (HEAD a2a030, Nov 23 2016 18:41:41) on localhost at 2016/11/24 20:17:19

/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/build/gpu/release/bin/cntk  configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_WriteScaledLogLike.cntk  currentDirectory=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData  RunDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DataDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData  ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  OutputDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DeviceId=0  timestamping=true  LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib  ScpDir=/home/philly/data/CNTKTestData/Speech/ASR  MlfDir=/home/philly/data/CNTKTestData/Speech/ASR  NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-SlaveTest/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  ExpDir=/tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp  DeviceNumber=0  TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]
Changed current directory to /tmp/cntk-test-20161124201450.71815/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData

11/24/2016 20:17:20: ##############################################################################
11/24/2016 20:17:20: #                                                                            #
11/24/2016 20:17:20: # TIMIT_WriteScaledLogLike command (write action)                            #
11/24/2016 20:17:20: #                                                                            #
11/24/2016 20:17:20: ##############################################################################

reading script file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.fbank.fullpath ... 192 entries

Post-processing network...

7 roots:
	CrossEntropyWithSoftmax = CrossEntropyWithSoftmax()
	EvalClassificationError = ClassificationError()
	InvStdOfFeatures = InvStdDev()
	MeanOfFeatures = Mean()
	PosteriorProb = Softmax()
	Prior = Mean()
	ScaledLogLikelihood = Minus()

Validating network. 30 nodes to process in pass 1.

Validating --> labels = InputValue() :  -> [183 x *]
Validating --> W3 = LearnableParameter() :  -> [183 x 512]
Validating --> W2 = LearnableParameter() :  -> [512 x 512]
Validating --> W1 = LearnableParameter() :  -> [512 x 512]
Validating --> W0 = LearnableParameter() :  -> [512 x 792]
Validating --> features = InputValue() :  -> [792 x *]
Validating --> MeanOfFeatures = Mean (features) : [792 x *] -> [792]
Validating --> InvStdOfFeatures = InvStdDev (features) : [792 x *] -> [792]
Validating --> MVNormalizedFeatures = PerDimMeanVarNormalization (features, MeanOfFeatures, InvStdOfFeatures) : [792 x *], [792], [792] -> [792 x *]
Validating --> W0*features = Times (W0, MVNormalizedFeatures) : [512 x 792], [792 x *] -> [512 x *]
Validating --> B0 = LearnableParameter() :  -> [512 x 1]
Validating --> W0*features+B0 = Plus (W0*features, B0) : [512 x *], [512 x 1] -> [512 x 1 x *]
Validating --> H1 = Sigmoid (W0*features+B0) : [512 x 1 x *] -> [512 x 1 x *]
Validating --> W1*H1 = Times (W1, H1) : [512 x 512], [512 x 1 x *] -> [512 x 1 x *]
Validating --> B1 = LearnableParameter() :  -> [512 x 1]
Validating --> W1*H1+B1 = Plus (W1*H1, B1) : [512 x 1 x *], [512 x 1] -> [512 x 1 x *]
Validating --> H2 = Sigmoid (W1*H1+B1) : [512 x 1 x *] -> [512 x 1 x *]
Validating --> W2*H2 = Times (W2, H2) : [512 x 512], [512 x 1 x *] -> [512 x 1 x *]
Validating --> B2 = LearnableParameter() :  -> [512 x 1]
Validating --> W2*H2+B2 = Plus (W2*H2, B2) : [512 x 1 x *], [512 x 1] -> [512 x 1 x *]
Validating --> H3 = Sigmoid (W2*H2+B2) : [512 x 1 x *] -> [512 x 1 x *]
Validating --> W3*H2 = Times (W3, H3) : [183 x 512], [512 x 1 x *] -> [183 x 1 x *]
Validating --> B3 = LearnableParameter() :  -> [183 x 1]
Validating --> HLast = Plus (W3*H2, B3) : [183 x 1 x *], [183 x 1] -> [183 x 1 x *]
Validating --> CrossEntropyWithSoftmax = CrossEntropyWithSoftmax (labels, HLast) : [183 x *], [183 x 1 x *] -> [1]
Validating --> EvalClassificationError = ClassificationError (labels, HLast) : [183 x *], [183 x 1 x *] -> [1]
Validating --> PosteriorProb = Softmax (HLast) : [183 x 1 x *] -> [183 x 1 x *]
Validating --> Prior = Mean (labels) : [183 x *] -> [183]
Validating --> LogOfPrior = Log (Prior) : [183] -> [183]
Validating --> ScaledLogLikelihood = Minus (HLast, LogOfPrior) : [183 x 1 x *], [183] -> [183 x 1 x *]

Validating network. 20 nodes to process in pass 2.


Validating network, final pass.




Post-processing network complete.

HTKMLFWriter::Init: reading output script file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.scaledloglike.fullpath ... 192 entries


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 30 matrices, 3 are shared as 1, and 27 are not shared.

	{ CrossEntropyWithSoftmax : [1]
	  EvalClassificationError : [1]
	  PosteriorProb : [183 x 1 x *] }

evaluate: reading 550 frames of test-dr1-felc0-si1386.fbank_zda
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evaluate: writing 308 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-sx295.mfc
evaluate: reading 189 frames of test-dr8-fmld0-sx385.fbank_zda
evaluate: writing 189 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-sx385.mfc
evaluate: reading 431 frames of test-dr8-mjln0-si1449.fbank_zda
evaluate: writing 431 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-si1449.mfc
evaluate: reading 210 frames of test-dr8-mjln0-si2079.fbank_zda
evaluate: writing 210 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-si2079.mfc
evaluate: reading 452 frames of test-dr8-mjln0-si819.fbank_zda
evaluate: writing 452 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-si819.mfc
evaluate: reading 295 frames of test-dr8-mjln0-sx189.fbank_zda
evaluate: writing 295 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-sx189.mfc
evaluate: reading 357 frames of test-dr8-mjln0-sx279.fbank_zda
evaluate: writing 357 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-sx279.mfc
evaluate: reading 287 frames of test-dr8-mjln0-sx369.fbank_zda
evaluate: writing 287 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-sx369.mfc
evaluate: reading 247 frames of test-dr8-mjln0-sx9.fbank_zda
evaluate: writing 247 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-sx9.mfc
evaluate: reading 314 frames of test-dr8-mjln0-sx99.fbank_zda
evaluate: writing 314 frames of scaledloglike/test/dr8/mjln0/test-dr8-mjln0-sx99.mfc
evaluate: reading 253 frames of test-dr8-mpam0-si1189.fbank_zda
evaluate: writing 253 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-si1189.mfc
evaluate: reading 284 frames of test-dr8-mpam0-si1819.fbank_zda
evaluate: writing 284 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-si1819.mfc
evaluate: reading 440 frames of test-dr8-mpam0-si1961.fbank_zda
evaluate: writing 440 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-si1961.mfc
evaluate: reading 292 frames of test-dr8-mpam0-sx109.fbank_zda
evaluate: writing 292 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-sx109.mfc
evaluate: reading 235 frames of test-dr8-mpam0-sx19.fbank_zda
evaluate: writing 235 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-sx19.mfc
evaluate: reading 350 frames of test-dr8-mpam0-sx199.fbank_zda
evaluate: writing 350 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-sx199.mfc
evaluate: reading 269 frames of test-dr8-mpam0-sx289.fbank_zda
evaluate: writing 269 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-sx289.mfc
evaluate: reading 250 frames of test-dr8-mpam0-sx379.fbank_zda
evaluate: writing 250 frames of scaledloglike/test/dr8/mpam0/test-dr8-mpam0-sx379.mfc
Total Samples Evaluated = 57919

11/24/2016 20:17:21: Action "write" complete.

11/24/2016 20:17:21: __COMPLETED__
Write succeeded.
MD5 check succeeded.