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-W1/build/gpu/release/bin/cntk configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DataDir=/home/philly/data/CNTKTestData/Speech/ASR ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DeviceId=0 timestamping=true LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp DeviceNumber=0 TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]
-------------------------------------------------------------------
Build info: 

		Built time: Aug 17 2016 08:26:36
		Last modified date: Wed Aug 17 08:14:22 2016
		Build type: release
		Build target: GPU
		Math lib: mkl
		CUDA_PATH: /usr/local/cuda-7.5
		CUB_PATH: /usr/local/cub-1.4.1
		CUDNN_PATH: /usr/local/cudnn-4.0
		Build Branch: HEAD
		Build SHA1: 9a24eb41c0ca4dceef671d0b80767cc851d73a14
		Built by philly on 643085f7f8c2
		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
-------------------------------------------------------------------
Changed current directory to /home/philly/data/CNTKTestData/Speech/ASR
08/17/2016 10:06:08: -------------------------------------------------------------------
08/17/2016 10:06:08: Build info: 

08/17/2016 10:06:08: 		Built time: Aug 17 2016 08:26:36
08/17/2016 10:06:08: 		Last modified date: Wed Aug 17 08:14:22 2016
08/17/2016 10:06:08: 		Build type: release
08/17/2016 10:06:08: 		Build target: GPU
08/17/2016 10:06:08: 		Math lib: mkl
08/17/2016 10:06:08: 		CUDA_PATH: /usr/local/cuda-7.5
08/17/2016 10:06:08: 		CUB_PATH: /usr/local/cub-1.4.1
08/17/2016 10:06:08: 		CUDNN_PATH: /usr/local/cudnn-4.0
08/17/2016 10:06:08: 		Build Branch: HEAD
08/17/2016 10:06:08: 		Build SHA1: 9a24eb41c0ca4dceef671d0b80767cc851d73a14
08/17/2016 10:06:08: 		Built by philly on 643085f7f8c2
08/17/2016 10:06:08: 		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
08/17/2016 10:06:08: -------------------------------------------------------------------
08/17/2016 10:06:09: -------------------------------------------------------------------
08/17/2016 10:06:09: GPU info:

08/17/2016 10:06:09: 		Device[0]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:06:09: 		Device[1]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:06:09: 		Device[2]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:06:09: 		Device[3]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:06:09: -------------------------------------------------------------------

08/17/2016 10:06:09: Running on localhost at 2016/08/17 10:06:09
08/17/2016 10:06:09: Command line: 
/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/build/gpu/release/bin/cntk  configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DataDir=/home/philly/data/CNTKTestData/Speech/ASR  ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DeviceId=0  timestamping=true  LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp  DeviceNumber=0  TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]



08/17/2016 10:06:09: >>>>>>>>>>>>>>>>>>>> RAW CONFIG (VARIABLES NOT RESOLVED) >>>>>>>>>>>>>>>>>>>>
08/17/2016 10:06:09: initOnCPUOnly=true
command=TIMIT_TrainSimple
precision=float
TIMIT_TrainSimple=[
    action=train
    modelPath=$ExpDir$/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=$DeviceNumber$
    traceLevel=1
    SimpleNetworkBuilder=[
        layerSizes=792:512*3:183
        trainingCriterion=CrossEntropyWithSoftmax
        evalCriterion=ClassificationError
        layerTypes=Sigmoid
        initValueScale=1.0
        applyMeanVarNorm=true
        uniformInit=true
        needPrior=true
    ]
    SGD=[
        epochSize=0 
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features=[
            dim=792
            scpFile=$ScpDir$/TIMIT.train.scp.fbank.fullpath.rnn
        ]
        labels=[
            mlfFile=$MlfDir$/TIMIT.train.align_cistate.mlf.cntk
            labelDim=183
            labelMappingFile=$MlfDir$/TIMIT.statelist
        ]
    ]
]
currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DataDir=/home/philly/data/CNTKTestData/Speech/ASR
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
DeviceNumber=0
TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]

08/17/2016 10:06:09: <<<<<<<<<<<<<<<<<<<< RAW CONFIG (VARIABLES NOT RESOLVED)  <<<<<<<<<<<<<<<<<<<<

08/17/2016 10:06:09: >>>>>>>>>>>>>>>>>>>> RAW CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
08/17/2016 10:06:09: initOnCPUOnly=true
command=TIMIT_TrainSimple
precision=float
TIMIT_TrainSimple=[
    action=train
    modelPath=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    SimpleNetworkBuilder=[
        layerSizes=792:512*3:183
        trainingCriterion=CrossEntropyWithSoftmax
        evalCriterion=ClassificationError
        layerTypes=Sigmoid
        initValueScale=1.0
        applyMeanVarNorm=true
        uniformInit=true
        needPrior=true
    ]
    SGD=[
        epochSize=0 
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn
        ]
        labels=[
            mlfFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.align_cistate.mlf.cntk
            labelDim=183
            labelMappingFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.statelist
        ]
    ]
]
currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DataDir=/home/philly/data/CNTKTestData/Speech/ASR
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
DeviceNumber=0
TIMIT_TrainSimple=[reader=[useMersenneTwisterRand=true]]

08/17/2016 10:06:09: <<<<<<<<<<<<<<<<<<<< RAW CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<

08/17/2016 10:06:09: >>>>>>>>>>>>>>>>>>>> PROCESSED CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
configparameters: TIMIT_TrainSimpleNetwork.cntk:command=TIMIT_TrainSimple
configparameters: TIMIT_TrainSimpleNetwork.cntk:ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainSimpleNetwork.cntk:currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainSimpleNetwork.cntk:DataDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainSimpleNetwork.cntk:DeviceId=0
configparameters: TIMIT_TrainSimpleNetwork.cntk:DeviceNumber=0
configparameters: TIMIT_TrainSimpleNetwork.cntk:ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
configparameters: TIMIT_TrainSimpleNetwork.cntk:initOnCPUOnly=true
configparameters: TIMIT_TrainSimpleNetwork.cntk:LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib
configparameters: TIMIT_TrainSimpleNetwork.cntk:MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainSimpleNetwork.cntk:MlfDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainSimpleNetwork.cntk:NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainSimpleNetwork.cntk:OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
configparameters: TIMIT_TrainSimpleNetwork.cntk:precision=float
configparameters: TIMIT_TrainSimpleNetwork.cntk:RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
configparameters: TIMIT_TrainSimpleNetwork.cntk:ScpDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainSimpleNetwork.cntk:timestamping=true
configparameters: TIMIT_TrainSimpleNetwork.cntk:TIMIT_TrainSimple=[
    action=train
    modelPath=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    SimpleNetworkBuilder=[
        layerSizes=792:512*3:183
        trainingCriterion=CrossEntropyWithSoftmax
        evalCriterion=ClassificationError
        layerTypes=Sigmoid
        initValueScale=1.0
        applyMeanVarNorm=true
        uniformInit=true
        needPrior=true
    ]
    SGD=[
        epochSize=0 
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn
        ]
        labels=[
            mlfFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.align_cistate.mlf.cntk
            labelDim=183
            labelMappingFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.statelist
        ]
    ]
] [reader=[useMersenneTwisterRand=true]]

08/17/2016 10:06:09: <<<<<<<<<<<<<<<<<<<< PROCESSED CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<
08/17/2016 10:06:09: Commands: TIMIT_TrainSimple
08/17/2016 10:06:09: Precision = "float"
08/17/2016 10:06:09: CNTKModelPath: /tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn
08/17/2016 10:06:09: CNTKCommandTrainInfo: TIMIT_TrainSimple : 25
08/17/2016 10:06:09: CNTKCommandTrainInfo: CNTKNoMoreCommands_Total : 25

08/17/2016 10:06:09: ##############################################################################
08/17/2016 10:06:09: #                                                                            #
08/17/2016 10:06:09: # Action "train"                                                             #
08/17/2016 10:06:09: #                                                                            #
08/17/2016 10:06:09: ##############################################################################

08/17/2016 10:06:09: CNTKCommandTrainBegin: TIMIT_TrainSimple
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

08/17/2016 10:06:10: Creating virgin network.
Node 'W0' (LearnableParameter operation): Initializing Parameter[512 x 792] <- 0.000000.
Node 'W0' (LearnableParameter operation): Initializing Parameter[512 x 792] <- uniform(seed=1, range=0.050000*1.000000, onCPU=false).
SetUniformRandomValue (GPU): creating curand object with seed 1, sizeof(ElemType)==4
Node 'B0' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'B0' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'W1' (LearnableParameter operation): Initializing Parameter[512 x 512] <- 0.000000.
Node 'W1' (LearnableParameter operation): Initializing Parameter[512 x 512] <- uniform(seed=2, range=0.050000*1.000000, onCPU=false).
Node 'B1' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'B1' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'W2' (LearnableParameter operation): Initializing Parameter[512 x 512] <- 0.000000.
Node 'W2' (LearnableParameter operation): Initializing Parameter[512 x 512] <- uniform(seed=3, range=0.050000*1.000000, onCPU=false).
Node 'B2' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'B2' (LearnableParameter operation): Initializing Parameter[512 x 1] <- 0.000000.
Node 'W3' (LearnableParameter operation): Initializing Parameter[183 x 512] <- 0.000000.
Node 'W3' (LearnableParameter operation): Initializing Parameter[183 x 512] <- uniform(seed=4, range=0.050000*1.000000, onCPU=false).
Node 'B3' (LearnableParameter operation): Initializing Parameter[183 x 1] <- 0.000000.
Node 'B3' (LearnableParameter operation): Initializing Parameter[183 x 1] <- 0.000000.

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.



14 out of 30 nodes do not share the minibatch layout with the input data.

Post-processing network complete.

08/17/2016 10:06:10: Created model with 30 nodes on GPU 0.

08/17/2016 10:06:10: Training criterion node(s):
08/17/2016 10:06:10: 	CrossEntropyWithSoftmax = CrossEntropyWithSoftmax

08/17/2016 10:06:10: Evaluation criterion node(s):
08/17/2016 10:06:10: 	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.

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


08/17/2016 10:06:10: Training 1025207 parameters in 8 out of 8 parameter tensors and 20 nodes with gradient:

08/17/2016 10:06:10: 	Node 'B0' (LearnableParameter operation) : [512 x 1]
08/17/2016 10:06:10: 	Node 'B1' (LearnableParameter operation) : [512 x 1]
08/17/2016 10:06:10: 	Node 'B2' (LearnableParameter operation) : [512 x 1]
08/17/2016 10:06:10: 	Node 'B3' (LearnableParameter operation) : [183 x 1]
08/17/2016 10:06:10: 	Node 'W0' (LearnableParameter operation) : [512 x 792]
08/17/2016 10:06:10: 	Node 'W1' (LearnableParameter operation) : [512 x 512]
08/17/2016 10:06:10: 	Node 'W2' (LearnableParameter operation) : [512 x 512]
08/17/2016 10:06:10: 	Node 'W3' (LearnableParameter operation) : [183 x 512]


08/17/2016 10:06:10: Precomputing --> 3 PreCompute nodes found.

08/17/2016 10:06:10: 	MeanOfFeatures = Mean()
08/17/2016 10:06:10: 	InvStdOfFeatures = InvStdDev()
08/17/2016 10:06:10: 	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

08/17/2016 10:06:15: Precomputing --> Completed.


08/17/2016 10:06:15: 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

08/17/2016 10:06:15: Starting minibatch loop.
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[   1-  10]: CrossEntropyWithSoftmax = 5.02329865 * 2560; EvalClassificationError = 0.96875000 * 2560; time = 0.0328s; samplesPerSecond = 78017.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  11-  20]: CrossEntropyWithSoftmax = 4.94702911 * 2560; EvalClassificationError = 0.96679688 * 2560; time = 0.0231s; samplesPerSecond = 110889.7
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  21-  30]: CrossEntropyWithSoftmax = 4.92615509 * 2560; EvalClassificationError = 0.95000000 * 2560; time = 0.0227s; samplesPerSecond = 112840.0
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  31-  40]: CrossEntropyWithSoftmax = 4.93515778 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0230s; samplesPerSecond = 111498.3
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  41-  50]: CrossEntropyWithSoftmax = 4.90809326 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0229s; samplesPerSecond = 111907.7
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  51-  60]: CrossEntropyWithSoftmax = 4.91466675 * 2560; EvalClassificationError = 0.95976562 * 2560; time = 0.0230s; samplesPerSecond = 111091.8
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  61-  70]: CrossEntropyWithSoftmax = 4.89143982 * 2560; EvalClassificationError = 0.95781250 * 2560; time = 0.0229s; samplesPerSecond = 111839.2
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  71-  80]: CrossEntropyWithSoftmax = 4.88919678 * 2560; EvalClassificationError = 0.95781250 * 2560; time = 0.0229s; samplesPerSecond = 111814.8
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  81-  90]: CrossEntropyWithSoftmax = 4.84163818 * 2560; EvalClassificationError = 0.94960937 * 2560; time = 0.0233s; samplesPerSecond = 109772.3
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[  91- 100]: CrossEntropyWithSoftmax = 4.86937866 * 2560; EvalClassificationError = 0.95898438 * 2560; time = 0.0211s; samplesPerSecond = 121212.1
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 101- 110]: CrossEntropyWithSoftmax = 4.83511047 * 2560; EvalClassificationError = 0.95429688 * 2560; time = 0.0210s; samplesPerSecond = 121655.7
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 111- 120]: CrossEntropyWithSoftmax = 4.82700195 * 2560; EvalClassificationError = 0.95117188 * 2560; time = 0.0209s; samplesPerSecond = 122558.4
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 121- 130]: CrossEntropyWithSoftmax = 4.74016113 * 2560; EvalClassificationError = 0.94257813 * 2560; time = 0.0211s; samplesPerSecond = 121563.2
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 131- 140]: CrossEntropyWithSoftmax = 4.68679810 * 2560; EvalClassificationError = 0.93945312 * 2560; time = 0.0212s; samplesPerSecond = 121005.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 141- 150]: CrossEntropyWithSoftmax = 4.64284058 * 2560; EvalClassificationError = 0.92265625 * 2560; time = 0.0210s; samplesPerSecond = 121719.3
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 151- 160]: CrossEntropyWithSoftmax = 4.61323853 * 2560; EvalClassificationError = 0.91015625 * 2560; time = 0.0211s; samplesPerSecond = 121557.5
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 161- 170]: CrossEntropyWithSoftmax = 4.51203613 * 2560; EvalClassificationError = 0.91875000 * 2560; time = 0.0215s; samplesPerSecond = 119191.7
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 171- 180]: CrossEntropyWithSoftmax = 4.47228394 * 2560; EvalClassificationError = 0.90585938 * 2560; time = 0.0205s; samplesPerSecond = 124647.0
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 181- 190]: CrossEntropyWithSoftmax = 4.38565674 * 2560; EvalClassificationError = 0.90703125 * 2560; time = 0.0205s; samplesPerSecond = 125122.2
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 191- 200]: CrossEntropyWithSoftmax = 4.39929810 * 2560; EvalClassificationError = 0.90000000 * 2560; time = 0.0205s; samplesPerSecond = 124592.4
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 201- 210]: CrossEntropyWithSoftmax = 4.37116089 * 2560; EvalClassificationError = 0.90273437 * 2560; time = 0.0206s; samplesPerSecond = 124289.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 211- 220]: CrossEntropyWithSoftmax = 4.30416260 * 2560; EvalClassificationError = 0.90390625 * 2560; time = 0.0218s; samplesPerSecond = 117415.0
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 221- 230]: CrossEntropyWithSoftmax = 4.28906250 * 2560; EvalClassificationError = 0.91210938 * 2560; time = 0.0209s; samplesPerSecond = 122746.5
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 231- 240]: CrossEntropyWithSoftmax = 4.25815430 * 2560; EvalClassificationError = 0.90273437 * 2560; time = 0.0207s; samplesPerSecond = 123892.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 241- 250]: CrossEntropyWithSoftmax = 4.19360352 * 2560; EvalClassificationError = 0.91875000 * 2560; time = 0.0207s; samplesPerSecond = 123617.8
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 251- 260]: CrossEntropyWithSoftmax = 4.20480957 * 2560; EvalClassificationError = 0.89414063 * 2560; time = 0.0205s; samplesPerSecond = 124640.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 261- 270]: CrossEntropyWithSoftmax = 4.15876465 * 2560; EvalClassificationError = 0.89960938 * 2560; time = 0.0206s; samplesPerSecond = 124115.2
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 271- 280]: CrossEntropyWithSoftmax = 4.16860352 * 2560; EvalClassificationError = 0.91054687 * 2560; time = 0.0207s; samplesPerSecond = 123373.5
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 281- 290]: CrossEntropyWithSoftmax = 4.09724121 * 2560; EvalClassificationError = 0.89453125 * 2560; time = 0.0208s; samplesPerSecond = 123177.6
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 291- 300]: CrossEntropyWithSoftmax = 4.05250244 * 2560; EvalClassificationError = 0.89257812 * 2560; time = 0.0209s; samplesPerSecond = 122640.6
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 301- 310]: CrossEntropyWithSoftmax = 4.02773437 * 2560; EvalClassificationError = 0.88007813 * 2560; time = 0.0206s; samplesPerSecond = 124229.6
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 311- 320]: CrossEntropyWithSoftmax = 3.94299316 * 2560; EvalClassificationError = 0.87304688 * 2560; time = 0.0208s; samplesPerSecond = 123153.9
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 321- 330]: CrossEntropyWithSoftmax = 3.96142578 * 2560; EvalClassificationError = 0.87070313 * 2560; time = 0.0209s; samplesPerSecond = 122781.8
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 331- 340]: CrossEntropyWithSoftmax = 3.95329590 * 2560; EvalClassificationError = 0.88476562 * 2560; time = 0.0209s; samplesPerSecond = 122558.4
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 341- 350]: CrossEntropyWithSoftmax = 3.82735596 * 2560; EvalClassificationError = 0.87421875 * 2560; time = 0.0209s; samplesPerSecond = 122330.0
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 351- 360]: CrossEntropyWithSoftmax = 3.84881592 * 2560; EvalClassificationError = 0.88046875 * 2560; time = 0.0206s; samplesPerSecond = 124139.3
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 361- 370]: CrossEntropyWithSoftmax = 3.71212158 * 2560; EvalClassificationError = 0.85117188 * 2560; time = 0.0208s; samplesPerSecond = 123266.6
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 371- 380]: CrossEntropyWithSoftmax = 3.71199951 * 2560; EvalClassificationError = 0.84218750 * 2560; time = 0.0207s; samplesPerSecond = 123486.6
08/17/2016 10:06:15:  Epoch[ 1 of 25]-Minibatch[ 381- 390]: CrossEntropyWithSoftmax = 3.66072998 * 2560; EvalClassificationError = 0.84062500 * 2560; time = 0.0207s; samplesPerSecond = 123468.7
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 391- 400]: CrossEntropyWithSoftmax = 3.65502930 * 2560; EvalClassificationError = 0.85507813 * 2560; time = 0.0209s; samplesPerSecond = 122517.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 401- 410]: CrossEntropyWithSoftmax = 3.61483154 * 2560; EvalClassificationError = 0.82695312 * 2560; time = 0.0206s; samplesPerSecond = 124235.7
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 411- 420]: CrossEntropyWithSoftmax = 3.53038330 * 2560; EvalClassificationError = 0.82890625 * 2560; time = 0.0208s; samplesPerSecond = 123242.8
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 421- 430]: CrossEntropyWithSoftmax = 3.52347412 * 2560; EvalClassificationError = 0.82070312 * 2560; time = 0.0208s; samplesPerSecond = 123290.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 431- 440]: CrossEntropyWithSoftmax = 3.50742187 * 2560; EvalClassificationError = 0.82109375 * 2560; time = 0.0208s; samplesPerSecond = 123260.6
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 441- 450]: CrossEntropyWithSoftmax = 3.47663574 * 2560; EvalClassificationError = 0.83320313 * 2560; time = 0.0208s; samplesPerSecond = 123254.7
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 451- 460]: CrossEntropyWithSoftmax = 3.42597656 * 2560; EvalClassificationError = 0.81523437 * 2560; time = 0.0205s; samplesPerSecond = 124671.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 461- 470]: CrossEntropyWithSoftmax = 3.43250732 * 2560; EvalClassificationError = 0.81367188 * 2560; time = 0.0206s; samplesPerSecond = 124223.6
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 471- 480]: CrossEntropyWithSoftmax = 3.38715820 * 2560; EvalClassificationError = 0.82265625 * 2560; time = 0.0207s; samplesPerSecond = 123581.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 481- 490]: CrossEntropyWithSoftmax = 3.31331787 * 2560; EvalClassificationError = 0.80078125 * 2560; time = 0.0206s; samplesPerSecond = 124265.8
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 491- 500]: CrossEntropyWithSoftmax = 3.29372559 * 2560; EvalClassificationError = 0.80781250 * 2560; time = 0.0205s; samplesPerSecond = 124884.1
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 501- 510]: CrossEntropyWithSoftmax = 3.27775879 * 2560; EvalClassificationError = 0.80468750 * 2560; time = 0.0205s; samplesPerSecond = 125128.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 511- 520]: CrossEntropyWithSoftmax = 3.24243164 * 2560; EvalClassificationError = 0.80078125 * 2560; time = 0.0206s; samplesPerSecond = 124356.4
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 521- 530]: CrossEntropyWithSoftmax = 3.25490723 * 2560; EvalClassificationError = 0.80781250 * 2560; time = 0.0205s; samplesPerSecond = 124847.6
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 531- 540]: CrossEntropyWithSoftmax = 3.22790527 * 2560; EvalClassificationError = 0.79062500 * 2560; time = 0.0206s; samplesPerSecond = 124241.7
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 541- 550]: CrossEntropyWithSoftmax = 3.24677734 * 2560; EvalClassificationError = 0.81054688 * 2560; time = 0.0206s; samplesPerSecond = 124495.5
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 551- 560]: CrossEntropyWithSoftmax = 3.21899414 * 2560; EvalClassificationError = 0.81132812 * 2560; time = 0.0206s; samplesPerSecond = 124043.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 561- 570]: CrossEntropyWithSoftmax = 3.18088379 * 2560; EvalClassificationError = 0.80273438 * 2560; time = 0.0206s; samplesPerSecond = 124217.6
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 571- 580]: CrossEntropyWithSoftmax = 3.20419922 * 2560; EvalClassificationError = 0.79101562 * 2560; time = 0.0206s; samplesPerSecond = 124302.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 581- 590]: CrossEntropyWithSoftmax = 3.12900391 * 2560; EvalClassificationError = 0.76796875 * 2560; time = 0.0205s; samplesPerSecond = 124665.2
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 591- 600]: CrossEntropyWithSoftmax = 3.05129395 * 2560; EvalClassificationError = 0.76796875 * 2560; time = 0.0204s; samplesPerSecond = 125712.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 601- 610]: CrossEntropyWithSoftmax = 3.15358887 * 2560; EvalClassificationError = 0.77929688 * 2560; time = 0.0206s; samplesPerSecond = 124441.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 611- 620]: CrossEntropyWithSoftmax = 3.10710449 * 2560; EvalClassificationError = 0.78007812 * 2560; time = 0.0207s; samplesPerSecond = 123510.4
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 621- 630]: CrossEntropyWithSoftmax = 3.08015137 * 2560; EvalClassificationError = 0.77500000 * 2560; time = 0.0207s; samplesPerSecond = 123581.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 631- 640]: CrossEntropyWithSoftmax = 3.04318848 * 2560; EvalClassificationError = 0.78867188 * 2560; time = 0.0207s; samplesPerSecond = 123522.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 641- 650]: CrossEntropyWithSoftmax = 3.10952148 * 2560; EvalClassificationError = 0.78593750 * 2560; time = 0.0205s; samplesPerSecond = 124634.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 651- 660]: CrossEntropyWithSoftmax = 3.03674316 * 2560; EvalClassificationError = 0.77031250 * 2560; time = 0.0207s; samplesPerSecond = 123415.1
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 661- 670]: CrossEntropyWithSoftmax = 3.07541504 * 2560; EvalClassificationError = 0.79609375 * 2560; time = 0.0208s; samplesPerSecond = 123320.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 671- 680]: CrossEntropyWithSoftmax = 3.06040039 * 2560; EvalClassificationError = 0.77539062 * 2560; time = 0.0209s; samplesPerSecond = 122728.8
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 681- 690]: CrossEntropyWithSoftmax = 3.02038574 * 2560; EvalClassificationError = 0.76992187 * 2560; time = 0.0208s; samplesPerSecond = 123266.6
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 691- 700]: CrossEntropyWithSoftmax = 2.98227539 * 2560; EvalClassificationError = 0.75976562 * 2560; time = 0.0206s; samplesPerSecond = 124350.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 701- 710]: CrossEntropyWithSoftmax = 3.05676270 * 2560; EvalClassificationError = 0.78632813 * 2560; time = 0.0207s; samplesPerSecond = 123510.4
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 711- 720]: CrossEntropyWithSoftmax = 3.01845703 * 2560; EvalClassificationError = 0.78359375 * 2560; time = 0.0208s; samplesPerSecond = 123207.2
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 721- 730]: CrossEntropyWithSoftmax = 3.00637207 * 2560; EvalClassificationError = 0.77187500 * 2560; time = 0.0207s; samplesPerSecond = 123397.3
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 731- 740]: CrossEntropyWithSoftmax = 3.00661621 * 2560; EvalClassificationError = 0.77695313 * 2560; time = 0.0208s; samplesPerSecond = 123314.1
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 741- 750]: CrossEntropyWithSoftmax = 2.98386230 * 2560; EvalClassificationError = 0.78671875 * 2560; time = 0.0206s; samplesPerSecond = 124019.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 751- 760]: CrossEntropyWithSoftmax = 2.93425293 * 2560; EvalClassificationError = 0.75273437 * 2560; time = 0.0208s; samplesPerSecond = 123231.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 761- 770]: CrossEntropyWithSoftmax = 2.92717285 * 2560; EvalClassificationError = 0.75585938 * 2560; time = 0.0207s; samplesPerSecond = 123576.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 771- 780]: CrossEntropyWithSoftmax = 2.94372559 * 2560; EvalClassificationError = 0.76367188 * 2560; time = 0.0208s; samplesPerSecond = 123148.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 781- 790]: CrossEntropyWithSoftmax = 2.92272949 * 2560; EvalClassificationError = 0.75546875 * 2560; time = 0.0207s; samplesPerSecond = 123761.2
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 791- 800]: CrossEntropyWithSoftmax = 2.90649414 * 2560; EvalClassificationError = 0.75468750 * 2560; time = 0.0206s; samplesPerSecond = 124043.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 801- 810]: CrossEntropyWithSoftmax = 2.91682129 * 2560; EvalClassificationError = 0.76484375 * 2560; time = 0.0208s; samplesPerSecond = 123325.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 811- 820]: CrossEntropyWithSoftmax = 2.89306641 * 2560; EvalClassificationError = 0.75820312 * 2560; time = 0.0208s; samplesPerSecond = 123248.8
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 821- 830]: CrossEntropyWithSoftmax = 2.90424805 * 2560; EvalClassificationError = 0.75820312 * 2560; time = 0.0208s; samplesPerSecond = 123076.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 831- 840]: CrossEntropyWithSoftmax = 2.87753906 * 2560; EvalClassificationError = 0.74531250 * 2560; time = 0.0205s; samplesPerSecond = 125000.0
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 841- 850]: CrossEntropyWithSoftmax = 2.86728516 * 2560; EvalClassificationError = 0.74375000 * 2560; time = 0.0208s; samplesPerSecond = 123213.2
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 851- 860]: CrossEntropyWithSoftmax = 2.86523438 * 2560; EvalClassificationError = 0.74960938 * 2560; time = 0.0207s; samplesPerSecond = 123564.1
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 861- 870]: CrossEntropyWithSoftmax = 2.88623047 * 2560; EvalClassificationError = 0.75976562 * 2560; time = 0.0207s; samplesPerSecond = 123581.9
08/17/2016 10:06:16:  Epoch[ 1 of 25]-Minibatch[ 871- 880]: CrossEntropyWithSoftmax = 2.86486816 * 2560; EvalClassificationError = 0.75039062 * 2560; time = 0.0208s; samplesPerSecond = 123076.9
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 881- 890]: CrossEntropyWithSoftmax = 2.85991211 * 2560; EvalClassificationError = 0.75234375 * 2560; time = 0.0206s; samplesPerSecond = 124151.3
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 891- 900]: CrossEntropyWithSoftmax = 2.80754395 * 2560; EvalClassificationError = 0.74296875 * 2560; time = 0.0208s; samplesPerSecond = 123367.5
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 901- 910]: CrossEntropyWithSoftmax = 2.90803223 * 2560; EvalClassificationError = 0.76289063 * 2560; time = 0.0208s; samplesPerSecond = 123349.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 911- 920]: CrossEntropyWithSoftmax = 2.80161133 * 2560; EvalClassificationError = 0.73750000 * 2560; time = 0.0208s; samplesPerSecond = 123349.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 921- 930]: CrossEntropyWithSoftmax = 2.88959961 * 2560; EvalClassificationError = 0.75468750 * 2560; time = 0.0208s; samplesPerSecond = 123284.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 931- 940]: CrossEntropyWithSoftmax = 2.81372070 * 2560; EvalClassificationError = 0.74648437 * 2560; time = 0.0205s; samplesPerSecond = 125067.2
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 941- 950]: CrossEntropyWithSoftmax = 2.78107910 * 2560; EvalClassificationError = 0.72265625 * 2560; time = 0.0206s; samplesPerSecond = 124103.2
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 951- 960]: CrossEntropyWithSoftmax = 2.81569824 * 2560; EvalClassificationError = 0.74804688 * 2560; time = 0.0207s; samplesPerSecond = 123910.9
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 961- 970]: CrossEntropyWithSoftmax = 2.83266602 * 2560; EvalClassificationError = 0.75078125 * 2560; time = 0.0206s; samplesPerSecond = 124247.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 971- 980]: CrossEntropyWithSoftmax = 2.75595703 * 2560; EvalClassificationError = 0.73359375 * 2560; time = 0.0205s; samplesPerSecond = 124628.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 981- 990]: CrossEntropyWithSoftmax = 2.74423828 * 2560; EvalClassificationError = 0.73164063 * 2560; time = 0.0204s; samplesPerSecond = 125551.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[ 991-1000]: CrossEntropyWithSoftmax = 2.76320801 * 2560; EvalClassificationError = 0.72148437 * 2560; time = 0.0206s; samplesPerSecond = 124265.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1001-1010]: CrossEntropyWithSoftmax = 2.76337891 * 2560; EvalClassificationError = 0.73281250 * 2560; time = 0.0207s; samplesPerSecond = 123892.9
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1011-1020]: CrossEntropyWithSoftmax = 2.77658691 * 2560; EvalClassificationError = 0.73632812 * 2560; time = 0.0208s; samplesPerSecond = 123065.1
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1021-1030]: CrossEntropyWithSoftmax = 2.72622070 * 2560; EvalClassificationError = 0.72929687 * 2560; time = 0.0207s; samplesPerSecond = 123409.2
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1031-1040]: CrossEntropyWithSoftmax = 2.69619141 * 2560; EvalClassificationError = 0.73476562 * 2560; time = 0.0206s; samplesPerSecond = 124368.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1041-1050]: CrossEntropyWithSoftmax = 2.73178711 * 2560; EvalClassificationError = 0.73710937 * 2560; time = 0.0208s; samplesPerSecond = 123082.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1051-1060]: CrossEntropyWithSoftmax = 2.75002441 * 2560; EvalClassificationError = 0.73671875 * 2560; time = 0.0208s; samplesPerSecond = 123165.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1061-1070]: CrossEntropyWithSoftmax = 2.72160645 * 2560; EvalClassificationError = 0.72460938 * 2560; time = 0.0208s; samplesPerSecond = 123177.6
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1071-1080]: CrossEntropyWithSoftmax = 2.74804688 * 2560; EvalClassificationError = 0.73945313 * 2560; time = 0.0207s; samplesPerSecond = 123576.0
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1081-1090]: CrossEntropyWithSoftmax = 2.70441895 * 2560; EvalClassificationError = 0.72617188 * 2560; time = 0.0206s; samplesPerSecond = 124097.1
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1091-1100]: CrossEntropyWithSoftmax = 2.75639648 * 2560; EvalClassificationError = 0.74101562 * 2560; time = 0.0207s; samplesPerSecond = 123605.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1101-1110]: CrossEntropyWithSoftmax = 2.69860840 * 2560; EvalClassificationError = 0.71718750 * 2560; time = 0.0207s; samplesPerSecond = 123516.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1111-1120]: CrossEntropyWithSoftmax = 2.72778320 * 2560; EvalClassificationError = 0.73281250 * 2560; time = 0.0208s; samplesPerSecond = 123290.3
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1121-1130]: CrossEntropyWithSoftmax = 2.67209473 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0205s; samplesPerSecond = 124701.6
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1131-1140]: CrossEntropyWithSoftmax = 2.67485352 * 2560; EvalClassificationError = 0.72968750 * 2560; time = 0.0207s; samplesPerSecond = 123611.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1141-1150]: CrossEntropyWithSoftmax = 2.63642578 * 2560; EvalClassificationError = 0.70976562 * 2560; time = 0.0207s; samplesPerSecond = 123492.5
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1151-1160]: CrossEntropyWithSoftmax = 2.61301270 * 2560; EvalClassificationError = 0.70546875 * 2560; time = 0.0206s; samplesPerSecond = 124187.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1161-1170]: CrossEntropyWithSoftmax = 2.63588867 * 2560; EvalClassificationError = 0.70703125 * 2560; time = 0.0206s; samplesPerSecond = 124368.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1171-1180]: CrossEntropyWithSoftmax = 2.69477539 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0204s; samplesPerSecond = 125693.5
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1181-1190]: CrossEntropyWithSoftmax = 2.65380859 * 2560; EvalClassificationError = 0.70507812 * 2560; time = 0.0206s; samplesPerSecond = 124537.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1191-1200]: CrossEntropyWithSoftmax = 2.66503906 * 2560; EvalClassificationError = 0.71406250 * 2560; time = 0.0206s; samplesPerSecond = 124495.5
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1201-1210]: CrossEntropyWithSoftmax = 2.64145508 * 2560; EvalClassificationError = 0.70820313 * 2560; time = 0.0206s; samplesPerSecond = 124447.0
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1211-1220]: CrossEntropyWithSoftmax = 2.64838867 * 2560; EvalClassificationError = 0.69882813 * 2560; time = 0.0205s; samplesPerSecond = 124774.6
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1221-1230]: CrossEntropyWithSoftmax = 2.66210938 * 2560; EvalClassificationError = 0.71757812 * 2560; time = 0.0204s; samplesPerSecond = 125459.4
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1231-1240]: CrossEntropyWithSoftmax = 2.62607422 * 2560; EvalClassificationError = 0.71250000 * 2560; time = 0.0206s; samplesPerSecond = 124398.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1241-1250]: CrossEntropyWithSoftmax = 2.65581055 * 2560; EvalClassificationError = 0.71875000 * 2560; time = 0.0205s; samplesPerSecond = 124671.3
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1251-1260]: CrossEntropyWithSoftmax = 2.60053711 * 2560; EvalClassificationError = 0.70351562 * 2560; time = 0.0206s; samplesPerSecond = 123983.0
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1261-1270]: CrossEntropyWithSoftmax = 2.61318359 * 2560; EvalClassificationError = 0.70273438 * 2560; time = 0.0206s; samplesPerSecond = 124459.1
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1271-1280]: CrossEntropyWithSoftmax = 2.66152344 * 2560; EvalClassificationError = 0.72500000 * 2560; time = 0.0204s; samplesPerSecond = 125631.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1281-1290]: CrossEntropyWithSoftmax = 2.62094727 * 2560; EvalClassificationError = 0.71875000 * 2560; time = 0.0206s; samplesPerSecond = 124289.9
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1291-1300]: CrossEntropyWithSoftmax = 2.62060547 * 2560; EvalClassificationError = 0.69726562 * 2560; time = 0.0206s; samplesPerSecond = 124350.3
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1301-1310]: CrossEntropyWithSoftmax = 2.58007812 * 2560; EvalClassificationError = 0.69765625 * 2560; time = 0.0205s; samplesPerSecond = 124610.6
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1311-1320]: CrossEntropyWithSoftmax = 2.57983398 * 2560; EvalClassificationError = 0.69531250 * 2560; time = 0.0206s; samplesPerSecond = 124531.8
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1321-1330]: CrossEntropyWithSoftmax = 2.58779297 * 2560; EvalClassificationError = 0.68710938 * 2560; time = 0.0204s; samplesPerSecond = 125699.7
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1331-1340]: CrossEntropyWithSoftmax = 2.58750000 * 2560; EvalClassificationError = 0.71562500 * 2560; time = 0.0206s; samplesPerSecond = 124374.5
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1341-1350]: CrossEntropyWithSoftmax = 2.56894531 * 2560; EvalClassificationError = 0.69335938 * 2560; time = 0.0206s; samplesPerSecond = 124453.1
08/17/2016 10:06:17:  Epoch[ 1 of 25]-Minibatch[1351-1360]: CrossEntropyWithSoftmax = 2.55424805 * 2560; EvalClassificationError = 0.68632812 * 2560; time = 0.0206s; samplesPerSecond = 123976.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1361-1370]: CrossEntropyWithSoftmax = 2.56611328 * 2560; EvalClassificationError = 0.68789062 * 2560; time = 0.0206s; samplesPerSecond = 124031.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1371-1380]: CrossEntropyWithSoftmax = 2.55312500 * 2560; EvalClassificationError = 0.70156250 * 2560; time = 0.0204s; samplesPerSecond = 125712.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1381-1390]: CrossEntropyWithSoftmax = 2.58666992 * 2560; EvalClassificationError = 0.70351562 * 2560; time = 0.0206s; samplesPerSecond = 124169.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1391-1400]: CrossEntropyWithSoftmax = 2.50410156 * 2560; EvalClassificationError = 0.68632812 * 2560; time = 0.0207s; samplesPerSecond = 123587.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1401-1410]: CrossEntropyWithSoftmax = 2.56782227 * 2560; EvalClassificationError = 0.68203125 * 2560; time = 0.0207s; samplesPerSecond = 123385.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1411-1420]: CrossEntropyWithSoftmax = 2.58056641 * 2560; EvalClassificationError = 0.70117188 * 2560; time = 0.0205s; samplesPerSecond = 125165.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1421-1430]: CrossEntropyWithSoftmax = 2.54785156 * 2560; EvalClassificationError = 0.69882813 * 2560; time = 0.0206s; samplesPerSecond = 124157.3
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1431-1440]: CrossEntropyWithSoftmax = 2.57539062 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0206s; samplesPerSecond = 124489.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1441-1450]: CrossEntropyWithSoftmax = 2.50761719 * 2560; EvalClassificationError = 0.68867188 * 2560; time = 0.0207s; samplesPerSecond = 123964.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1451-1460]: CrossEntropyWithSoftmax = 2.55478516 * 2560; EvalClassificationError = 0.69765625 * 2560; time = 0.0206s; samplesPerSecond = 124434.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1461-1470]: CrossEntropyWithSoftmax = 2.53676758 * 2560; EvalClassificationError = 0.68359375 * 2560; time = 0.0203s; samplesPerSecond = 125829.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1471-1480]: CrossEntropyWithSoftmax = 2.51381836 * 2560; EvalClassificationError = 0.68750000 * 2560; time = 0.0206s; samplesPerSecond = 124013.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1481-1490]: CrossEntropyWithSoftmax = 2.54560547 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0206s; samplesPerSecond = 124103.2
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1491-1500]: CrossEntropyWithSoftmax = 2.51396484 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0205s; samplesPerSecond = 124677.3
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1501-1510]: CrossEntropyWithSoftmax = 2.47202148 * 2560; EvalClassificationError = 0.66679687 * 2560; time = 0.0205s; samplesPerSecond = 124659.1
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1511-1520]: CrossEntropyWithSoftmax = 2.50366211 * 2560; EvalClassificationError = 0.67109375 * 2560; time = 0.0229s; samplesPerSecond = 111702.6
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1521-1530]: CrossEntropyWithSoftmax = 2.50844727 * 2560; EvalClassificationError = 0.67539063 * 2560; time = 0.0207s; samplesPerSecond = 123659.5
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1531-1540]: CrossEntropyWithSoftmax = 2.54194336 * 2560; EvalClassificationError = 0.68984375 * 2560; time = 0.0207s; samplesPerSecond = 123916.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1541-1550]: CrossEntropyWithSoftmax = 2.60683594 * 2560; EvalClassificationError = 0.70703125 * 2560; time = 0.0208s; samplesPerSecond = 123296.2
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1551-1560]: CrossEntropyWithSoftmax = 2.51660156 * 2560; EvalClassificationError = 0.70546875 * 2560; time = 0.0206s; samplesPerSecond = 124133.2
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1561-1570]: CrossEntropyWithSoftmax = 2.48530273 * 2560; EvalClassificationError = 0.68242187 * 2560; time = 0.0205s; samplesPerSecond = 125097.7
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1571-1580]: CrossEntropyWithSoftmax = 2.49321289 * 2560; EvalClassificationError = 0.68164062 * 2560; time = 0.0207s; samplesPerSecond = 123791.1
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1581-1590]: CrossEntropyWithSoftmax = 2.49687500 * 2560; EvalClassificationError = 0.67656250 * 2560; time = 0.0207s; samplesPerSecond = 123713.3
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1591-1600]: CrossEntropyWithSoftmax = 2.48608398 * 2560; EvalClassificationError = 0.67421875 * 2560; time = 0.0206s; samplesPerSecond = 124531.8
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1601-1610]: CrossEntropyWithSoftmax = 2.50244141 * 2560; EvalClassificationError = 0.68945312 * 2560; time = 0.0206s; samplesPerSecond = 123995.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1611-1620]: CrossEntropyWithSoftmax = 2.48432617 * 2560; EvalClassificationError = 0.68554688 * 2560; time = 0.0206s; samplesPerSecond = 124483.3
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1621-1630]: CrossEntropyWithSoftmax = 2.48593750 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0206s; samplesPerSecond = 124271.8
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1631-1640]: CrossEntropyWithSoftmax = 2.45395508 * 2560; EvalClassificationError = 0.67343750 * 2560; time = 0.0207s; samplesPerSecond = 123821.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1641-1650]: CrossEntropyWithSoftmax = 2.42553711 * 2560; EvalClassificationError = 0.67421875 * 2560; time = 0.0206s; samplesPerSecond = 124001.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1651-1660]: CrossEntropyWithSoftmax = 2.42167969 * 2560; EvalClassificationError = 0.66835937 * 2560; time = 0.0205s; samplesPerSecond = 124628.8
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1661-1670]: CrossEntropyWithSoftmax = 2.45419922 * 2560; EvalClassificationError = 0.67656250 * 2560; time = 0.0206s; samplesPerSecond = 124489.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1671-1680]: CrossEntropyWithSoftmax = 2.46909180 * 2560; EvalClassificationError = 0.68476563 * 2560; time = 0.0206s; samplesPerSecond = 124259.8
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1681-1690]: CrossEntropyWithSoftmax = 2.46279297 * 2560; EvalClassificationError = 0.67539063 * 2560; time = 0.0206s; samplesPerSecond = 124296.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1691-1700]: CrossEntropyWithSoftmax = 2.45917969 * 2560; EvalClassificationError = 0.68398437 * 2560; time = 0.0207s; samplesPerSecond = 123958.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1701-1710]: CrossEntropyWithSoftmax = 2.37773438 * 2560; EvalClassificationError = 0.65312500 * 2560; time = 0.0205s; samplesPerSecond = 125036.6
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1711-1720]: CrossEntropyWithSoftmax = 2.45747070 * 2560; EvalClassificationError = 0.66601562 * 2560; time = 0.0206s; samplesPerSecond = 123995.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1721-1730]: CrossEntropyWithSoftmax = 2.44643555 * 2560; EvalClassificationError = 0.68359375 * 2560; time = 0.0206s; samplesPerSecond = 124398.7
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1731-1740]: CrossEntropyWithSoftmax = 2.46235352 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0206s; samplesPerSecond = 124501.5
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1741-1750]: CrossEntropyWithSoftmax = 2.44238281 * 2560; EvalClassificationError = 0.67812500 * 2560; time = 0.0206s; samplesPerSecond = 124169.4
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1751-1760]: CrossEntropyWithSoftmax = 2.42744141 * 2560; EvalClassificationError = 0.66484375 * 2560; time = 0.0205s; samplesPerSecond = 124920.7
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1761-1770]: CrossEntropyWithSoftmax = 2.38159180 * 2560; EvalClassificationError = 0.63671875 * 2560; time = 0.0207s; samplesPerSecond = 123922.9
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1771-1780]: CrossEntropyWithSoftmax = 2.46010742 * 2560; EvalClassificationError = 0.67304688 * 2560; time = 0.0209s; samplesPerSecond = 122464.6
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1781-1790]: CrossEntropyWithSoftmax = 2.38134766 * 2560; EvalClassificationError = 0.66093750 * 2560; time = 0.0208s; samplesPerSecond = 123106.5
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1791-1800]: CrossEntropyWithSoftmax = 2.48603516 * 2560; EvalClassificationError = 0.68320313 * 2560; time = 0.0207s; samplesPerSecond = 123468.7
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1801-1810]: CrossEntropyWithSoftmax = 2.41347656 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0206s; samplesPerSecond = 124259.8
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1811-1820]: CrossEntropyWithSoftmax = 2.36611328 * 2560; EvalClassificationError = 0.66796875 * 2560; time = 0.0208s; samplesPerSecond = 122823.0
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1821-1830]: CrossEntropyWithSoftmax = 2.37485352 * 2560; EvalClassificationError = 0.67187500 * 2560; time = 0.0208s; samplesPerSecond = 123189.5
08/17/2016 10:06:18:  Epoch[ 1 of 25]-Minibatch[1831-1840]: CrossEntropyWithSoftmax = 2.41826172 * 2560; EvalClassificationError = 0.67500000 * 2560; time = 0.0208s; samplesPerSecond = 122823.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1841-1850]: CrossEntropyWithSoftmax = 2.42265625 * 2560; EvalClassificationError = 0.67031250 * 2560; time = 0.0209s; samplesPerSecond = 122770.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1851-1860]: CrossEntropyWithSoftmax = 2.33217773 * 2560; EvalClassificationError = 0.65195313 * 2560; time = 0.0206s; samplesPerSecond = 124338.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1861-1870]: CrossEntropyWithSoftmax = 2.37465820 * 2560; EvalClassificationError = 0.66601562 * 2560; time = 0.0208s; samplesPerSecond = 123165.7
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1871-1880]: CrossEntropyWithSoftmax = 2.39116211 * 2560; EvalClassificationError = 0.65429688 * 2560; time = 0.0208s; samplesPerSecond = 123148.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1881-1890]: CrossEntropyWithSoftmax = 2.42309570 * 2560; EvalClassificationError = 0.66523438 * 2560; time = 0.0209s; samplesPerSecond = 122611.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1891-1900]: CrossEntropyWithSoftmax = 2.38745117 * 2560; EvalClassificationError = 0.65781250 * 2560; time = 0.0207s; samplesPerSecond = 123731.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1901-1910]: CrossEntropyWithSoftmax = 2.33354492 * 2560; EvalClassificationError = 0.64453125 * 2560; time = 0.0205s; samplesPerSecond = 124993.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1911-1920]: CrossEntropyWithSoftmax = 2.34599609 * 2560; EvalClassificationError = 0.65664062 * 2560; time = 0.0206s; samplesPerSecond = 124308.1
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1921-1930]: CrossEntropyWithSoftmax = 2.37822266 * 2560; EvalClassificationError = 0.66289062 * 2560; time = 0.0206s; samplesPerSecond = 124013.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1931-1940]: CrossEntropyWithSoftmax = 2.36235352 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0206s; samplesPerSecond = 124326.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1941-1950]: CrossEntropyWithSoftmax = 2.34887695 * 2560; EvalClassificationError = 0.67148438 * 2560; time = 0.0205s; samplesPerSecond = 124683.4
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1951-1960]: CrossEntropyWithSoftmax = 2.34179688 * 2560; EvalClassificationError = 0.65351563 * 2560; time = 0.0205s; samplesPerSecond = 124738.1
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1961-1970]: CrossEntropyWithSoftmax = 2.37895508 * 2560; EvalClassificationError = 0.66406250 * 2560; time = 0.0206s; samplesPerSecond = 124507.6
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1971-1980]: CrossEntropyWithSoftmax = 2.32309570 * 2560; EvalClassificationError = 0.63750000 * 2560; time = 0.0206s; samplesPerSecond = 124525.7
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1981-1990]: CrossEntropyWithSoftmax = 2.31000977 * 2560; EvalClassificationError = 0.63906250 * 2560; time = 0.0206s; samplesPerSecond = 124181.4
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[1991-2000]: CrossEntropyWithSoftmax = 2.34965820 * 2560; EvalClassificationError = 0.65351563 * 2560; time = 0.0204s; samplesPerSecond = 125705.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2001-2010]: CrossEntropyWithSoftmax = 2.29916992 * 2560; EvalClassificationError = 0.64570313 * 2560; time = 0.0206s; samplesPerSecond = 124380.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2011-2020]: CrossEntropyWithSoftmax = 2.35244141 * 2560; EvalClassificationError = 0.65312500 * 2560; time = 0.0206s; samplesPerSecond = 124193.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2021-2030]: CrossEntropyWithSoftmax = 2.31821289 * 2560; EvalClassificationError = 0.63710937 * 2560; time = 0.0206s; samplesPerSecond = 124302.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2031-2040]: CrossEntropyWithSoftmax = 2.34975586 * 2560; EvalClassificationError = 0.65078125 * 2560; time = 0.0206s; samplesPerSecond = 124271.8
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2041-2050]: CrossEntropyWithSoftmax = 2.35981445 * 2560; EvalClassificationError = 0.65898437 * 2560; time = 0.0204s; samplesPerSecond = 125305.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2051-2060]: CrossEntropyWithSoftmax = 2.32866211 * 2560; EvalClassificationError = 0.65703125 * 2560; time = 0.0206s; samplesPerSecond = 124410.7
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2061-2070]: CrossEntropyWithSoftmax = 2.35234375 * 2560; EvalClassificationError = 0.64765625 * 2560; time = 0.0206s; samplesPerSecond = 124217.6
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2071-2080]: CrossEntropyWithSoftmax = 2.31127930 * 2560; EvalClassificationError = 0.64765625 * 2560; time = 0.0206s; samplesPerSecond = 124483.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2081-2090]: CrossEntropyWithSoftmax = 2.31889648 * 2560; EvalClassificationError = 0.64375000 * 2560; time = 0.0206s; samplesPerSecond = 124543.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2091-2100]: CrossEntropyWithSoftmax = 2.30961914 * 2560; EvalClassificationError = 0.63828125 * 2560; time = 0.0204s; samplesPerSecond = 125699.7
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2101-2110]: CrossEntropyWithSoftmax = 2.26464844 * 2560; EvalClassificationError = 0.63789063 * 2560; time = 0.0205s; samplesPerSecond = 124738.1
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2111-2120]: CrossEntropyWithSoftmax = 2.31333008 * 2560; EvalClassificationError = 0.65585938 * 2560; time = 0.0206s; samplesPerSecond = 124350.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2121-2130]: CrossEntropyWithSoftmax = 2.24282227 * 2560; EvalClassificationError = 0.63710937 * 2560; time = 0.0205s; samplesPerSecond = 124823.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2131-2140]: CrossEntropyWithSoftmax = 2.28461914 * 2560; EvalClassificationError = 0.65000000 * 2560; time = 0.0205s; samplesPerSecond = 124628.8
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2141-2150]: CrossEntropyWithSoftmax = 2.27495117 * 2560; EvalClassificationError = 0.64531250 * 2560; time = 0.0204s; samplesPerSecond = 125373.4
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2151-2160]: CrossEntropyWithSoftmax = 2.24497070 * 2560; EvalClassificationError = 0.62578125 * 2560; time = 0.0206s; samplesPerSecond = 124151.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2161-2170]: CrossEntropyWithSoftmax = 2.26298828 * 2560; EvalClassificationError = 0.63125000 * 2560; time = 0.0205s; samplesPerSecond = 124993.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2171-2180]: CrossEntropyWithSoftmax = 2.29506836 * 2560; EvalClassificationError = 0.65273437 * 2560; time = 0.0205s; samplesPerSecond = 124689.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2181-2190]: CrossEntropyWithSoftmax = 2.24858398 * 2560; EvalClassificationError = 0.63281250 * 2560; time = 0.0206s; samplesPerSecond = 124350.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2191-2200]: CrossEntropyWithSoftmax = 2.21015625 * 2560; EvalClassificationError = 0.61953125 * 2560; time = 0.0203s; samplesPerSecond = 126276.3
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2201-2210]: CrossEntropyWithSoftmax = 2.24653320 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0206s; samplesPerSecond = 124513.6
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2211-2220]: CrossEntropyWithSoftmax = 2.24184570 * 2560; EvalClassificationError = 0.62773437 * 2560; time = 0.0206s; samplesPerSecond = 124338.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2221-2230]: CrossEntropyWithSoftmax = 2.23574219 * 2560; EvalClassificationError = 0.62304688 * 2560; time = 0.0207s; samplesPerSecond = 123546.2
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2231-2240]: CrossEntropyWithSoftmax = 2.22187500 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0208s; samplesPerSecond = 123272.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2241-2250]: CrossEntropyWithSoftmax = 2.23232422 * 2560; EvalClassificationError = 0.62421875 * 2560; time = 0.0206s; samplesPerSecond = 124302.0
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2251-2260]: CrossEntropyWithSoftmax = 2.28652344 * 2560; EvalClassificationError = 0.64179688 * 2560; time = 0.0207s; samplesPerSecond = 123498.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2261-2270]: CrossEntropyWithSoftmax = 2.17080078 * 2560; EvalClassificationError = 0.62187500 * 2560; time = 0.0207s; samplesPerSecond = 123379.4
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2271-2280]: CrossEntropyWithSoftmax = 2.22187500 * 2560; EvalClassificationError = 0.64101562 * 2560; time = 0.0207s; samplesPerSecond = 123934.9
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2281-2290]: CrossEntropyWithSoftmax = 2.21313477 * 2560; EvalClassificationError = 0.61679688 * 2560; time = 0.0208s; samplesPerSecond = 123219.1
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2291-2300]: CrossEntropyWithSoftmax = 2.17792969 * 2560; EvalClassificationError = 0.61875000 * 2560; time = 0.0207s; samplesPerSecond = 123665.5
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2301-2310]: CrossEntropyWithSoftmax = 2.22250977 * 2560; EvalClassificationError = 0.61210937 * 2560; time = 0.0208s; samplesPerSecond = 123195.4
08/17/2016 10:06:19:  Epoch[ 1 of 25]-Minibatch[2311-2320]: CrossEntropyWithSoftmax = 2.25302734 * 2560; EvalClassificationError = 0.62734375 * 2560; time = 0.0207s; samplesPerSecond = 123671.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2321-2330]: CrossEntropyWithSoftmax = 2.22451172 * 2560; EvalClassificationError = 0.62734375 * 2560; time = 0.0208s; samplesPerSecond = 122846.6
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2331-2340]: CrossEntropyWithSoftmax = 2.19526367 * 2560; EvalClassificationError = 0.61953125 * 2560; time = 0.0206s; samplesPerSecond = 124459.1
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2341-2350]: CrossEntropyWithSoftmax = 2.20502930 * 2560; EvalClassificationError = 0.61328125 * 2560; time = 0.0209s; samplesPerSecond = 122693.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2351-2360]: CrossEntropyWithSoftmax = 2.22163086 * 2560; EvalClassificationError = 0.62773437 * 2560; time = 0.0208s; samplesPerSecond = 123231.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2361-2370]: CrossEntropyWithSoftmax = 2.26625977 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0207s; samplesPerSecond = 123833.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2371-2380]: CrossEntropyWithSoftmax = 2.20610352 * 2560; EvalClassificationError = 0.62460938 * 2560; time = 0.0205s; samplesPerSecond = 124719.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2381-2390]: CrossEntropyWithSoftmax = 2.20957031 * 2560; EvalClassificationError = 0.62460938 * 2560; time = 0.0205s; samplesPerSecond = 125018.3
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2391-2400]: CrossEntropyWithSoftmax = 2.24399414 * 2560; EvalClassificationError = 0.62187500 * 2560; time = 0.0207s; samplesPerSecond = 123970.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2401-2410]: CrossEntropyWithSoftmax = 2.18886719 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0205s; samplesPerSecond = 124586.3
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2411-2420]: CrossEntropyWithSoftmax = 2.19023438 * 2560; EvalClassificationError = 0.62109375 * 2560; time = 0.0205s; samplesPerSecond = 124604.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2421-2430]: CrossEntropyWithSoftmax = 2.22045898 * 2560; EvalClassificationError = 0.62500000 * 2560; time = 0.0205s; samplesPerSecond = 124598.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2431-2440]: CrossEntropyWithSoftmax = 2.14272461 * 2560; EvalClassificationError = 0.61523438 * 2560; time = 0.0204s; samplesPerSecond = 125484.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2441-2450]: CrossEntropyWithSoftmax = 2.19775391 * 2560; EvalClassificationError = 0.62265625 * 2560; time = 0.0205s; samplesPerSecond = 124683.4
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2451-2460]: CrossEntropyWithSoftmax = 2.23530273 * 2560; EvalClassificationError = 0.61992187 * 2560; time = 0.0206s; samplesPerSecond = 124386.6
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2461-2470]: CrossEntropyWithSoftmax = 2.21025391 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0206s; samplesPerSecond = 124447.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2471-2480]: CrossEntropyWithSoftmax = 2.21611328 * 2560; EvalClassificationError = 0.61445313 * 2560; time = 0.0206s; samplesPerSecond = 124253.7
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2481-2490]: CrossEntropyWithSoftmax = 2.16801758 * 2560; EvalClassificationError = 0.61757812 * 2560; time = 0.0205s; samplesPerSecond = 124835.4
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2491-2500]: CrossEntropyWithSoftmax = 2.17299805 * 2560; EvalClassificationError = 0.61328125 * 2560; time = 0.0205s; samplesPerSecond = 124634.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2501-2510]: CrossEntropyWithSoftmax = 2.17304687 * 2560; EvalClassificationError = 0.62695312 * 2560; time = 0.0206s; samplesPerSecond = 124025.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2511-2520]: CrossEntropyWithSoftmax = 2.11489258 * 2560; EvalClassificationError = 0.60429687 * 2560; time = 0.0206s; samplesPerSecond = 124422.8
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2521-2530]: CrossEntropyWithSoftmax = 2.19130859 * 2560; EvalClassificationError = 0.62656250 * 2560; time = 0.0205s; samplesPerSecond = 124598.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2531-2540]: CrossEntropyWithSoftmax = 2.12451172 * 2560; EvalClassificationError = 0.59843750 * 2560; time = 0.0204s; samplesPerSecond = 125281.4
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2541-2550]: CrossEntropyWithSoftmax = 2.15224609 * 2560; EvalClassificationError = 0.62226563 * 2560; time = 0.0206s; samplesPerSecond = 124211.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2551-2560]: CrossEntropyWithSoftmax = 2.17724609 * 2560; EvalClassificationError = 0.60468750 * 2560; time = 0.0207s; samplesPerSecond = 123444.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2561-2570]: CrossEntropyWithSoftmax = 2.17460938 * 2560; EvalClassificationError = 0.60976562 * 2560; time = 0.0208s; samplesPerSecond = 123225.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2571-2580]: CrossEntropyWithSoftmax = 2.15869141 * 2560; EvalClassificationError = 0.60429687 * 2560; time = 0.0207s; samplesPerSecond = 123791.1
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2581-2590]: CrossEntropyWithSoftmax = 2.09956055 * 2560; EvalClassificationError = 0.60507813 * 2560; time = 0.0206s; samplesPerSecond = 124404.7
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2591-2600]: CrossEntropyWithSoftmax = 2.18959961 * 2560; EvalClassificationError = 0.62148437 * 2560; time = 0.0208s; samplesPerSecond = 122846.6
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2601-2610]: CrossEntropyWithSoftmax = 2.18637695 * 2560; EvalClassificationError = 0.61484375 * 2560; time = 0.0208s; samplesPerSecond = 123082.8
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2611-2620]: CrossEntropyWithSoftmax = 2.11240234 * 2560; EvalClassificationError = 0.60234375 * 2560; time = 0.0208s; samplesPerSecond = 123130.2
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2621-2630]: CrossEntropyWithSoftmax = 2.10800781 * 2560; EvalClassificationError = 0.60507813 * 2560; time = 0.0205s; samplesPerSecond = 124939.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2631-2640]: CrossEntropyWithSoftmax = 2.15146484 * 2560; EvalClassificationError = 0.61718750 * 2560; time = 0.0207s; samplesPerSecond = 123444.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2641-2650]: CrossEntropyWithSoftmax = 2.14643555 * 2560; EvalClassificationError = 0.61289063 * 2560; time = 0.0208s; samplesPerSecond = 123124.3
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2651-2660]: CrossEntropyWithSoftmax = 2.14741211 * 2560; EvalClassificationError = 0.60468750 * 2560; time = 0.0208s; samplesPerSecond = 123017.8
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2661-2670]: CrossEntropyWithSoftmax = 2.12285156 * 2560; EvalClassificationError = 0.61054688 * 2560; time = 0.0208s; samplesPerSecond = 123112.4
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2671-2680]: CrossEntropyWithSoftmax = 2.07114258 * 2560; EvalClassificationError = 0.58867187 * 2560; time = 0.0206s; samplesPerSecond = 124133.2
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2681-2690]: CrossEntropyWithSoftmax = 2.04331055 * 2560; EvalClassificationError = 0.58984375 * 2560; time = 0.0208s; samplesPerSecond = 122823.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2691-2700]: CrossEntropyWithSoftmax = 2.12006836 * 2560; EvalClassificationError = 0.60898438 * 2560; time = 0.0208s; samplesPerSecond = 123272.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2701-2710]: CrossEntropyWithSoftmax = 2.15361328 * 2560; EvalClassificationError = 0.60390625 * 2560; time = 0.0208s; samplesPerSecond = 123231.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2711-2720]: CrossEntropyWithSoftmax = 2.04472656 * 2560; EvalClassificationError = 0.58125000 * 2560; time = 0.0208s; samplesPerSecond = 123254.7
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2721-2730]: CrossEntropyWithSoftmax = 2.08964844 * 2560; EvalClassificationError = 0.60312500 * 2560; time = 0.0206s; samplesPerSecond = 124501.5
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2731-2740]: CrossEntropyWithSoftmax = 2.14331055 * 2560; EvalClassificationError = 0.59882813 * 2560; time = 0.0208s; samplesPerSecond = 123065.1
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2741-2750]: CrossEntropyWithSoftmax = 2.10102539 * 2560; EvalClassificationError = 0.59414062 * 2560; time = 0.0207s; samplesPerSecond = 123438.9
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2751-2760]: CrossEntropyWithSoftmax = 2.16601562 * 2560; EvalClassificationError = 0.60390625 * 2560; time = 0.0208s; samplesPerSecond = 123124.3
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2761-2770]: CrossEntropyWithSoftmax = 2.07753906 * 2560; EvalClassificationError = 0.59414062 * 2560; time = 0.0208s; samplesPerSecond = 123266.6
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2771-2780]: CrossEntropyWithSoftmax = 2.06015625 * 2560; EvalClassificationError = 0.58906250 * 2560; time = 0.0206s; samplesPerSecond = 124031.0
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2781-2790]: CrossEntropyWithSoftmax = 2.11943359 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0207s; samplesPerSecond = 123713.3
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2791-2800]: CrossEntropyWithSoftmax = 2.11333008 * 2560; EvalClassificationError = 0.59296875 * 2560; time = 0.0208s; samplesPerSecond = 123254.7
08/17/2016 10:06:20:  Epoch[ 1 of 25]-Minibatch[2801-2810]: CrossEntropyWithSoftmax = 2.10742188 * 2560; EvalClassificationError = 0.58984375 * 2560; time = 0.0223s; samplesPerSecond = 115020.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2811-2820]: CrossEntropyWithSoftmax = 2.06411133 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0208s; samplesPerSecond = 122952.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2821-2830]: CrossEntropyWithSoftmax = 2.12929688 * 2560; EvalClassificationError = 0.60195312 * 2560; time = 0.0208s; samplesPerSecond = 122793.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2831-2840]: CrossEntropyWithSoftmax = 2.10776367 * 2560; EvalClassificationError = 0.61835938 * 2560; time = 0.0209s; samplesPerSecond = 122593.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2841-2850]: CrossEntropyWithSoftmax = 2.09990234 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0209s; samplesPerSecond = 122758.2
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2851-2860]: CrossEntropyWithSoftmax = 2.12705078 * 2560; EvalClassificationError = 0.60664063 * 2560; time = 0.0208s; samplesPerSecond = 122905.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2861-2870]: CrossEntropyWithSoftmax = 2.13471680 * 2560; EvalClassificationError = 0.59609375 * 2560; time = 0.0205s; samplesPerSecond = 124610.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2871-2880]: CrossEntropyWithSoftmax = 2.16718750 * 2560; EvalClassificationError = 0.60546875 * 2560; time = 0.0207s; samplesPerSecond = 123791.1
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2881-2890]: CrossEntropyWithSoftmax = 2.04335938 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0206s; samplesPerSecond = 124049.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2891-2900]: CrossEntropyWithSoftmax = 2.04750977 * 2560; EvalClassificationError = 0.58281250 * 2560; time = 0.0207s; samplesPerSecond = 123450.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2901-2910]: CrossEntropyWithSoftmax = 2.07421875 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0209s; samplesPerSecond = 122652.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2911-2920]: CrossEntropyWithSoftmax = 2.06059570 * 2560; EvalClassificationError = 0.58671875 * 2560; time = 0.0206s; samplesPerSecond = 123989.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2921-2930]: CrossEntropyWithSoftmax = 2.03300781 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0209s; samplesPerSecond = 122570.1
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2931-2940]: CrossEntropyWithSoftmax = 2.11166992 * 2560; EvalClassificationError = 0.59921875 * 2560; time = 0.0207s; samplesPerSecond = 123391.3
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2941-2950]: CrossEntropyWithSoftmax = 2.03784180 * 2560; EvalClassificationError = 0.58671875 * 2560; time = 0.0208s; samplesPerSecond = 123195.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2951-2960]: CrossEntropyWithSoftmax = 2.07167969 * 2560; EvalClassificationError = 0.59765625 * 2560; time = 0.0209s; samplesPerSecond = 122587.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2961-2970]: CrossEntropyWithSoftmax = 2.08222656 * 2560; EvalClassificationError = 0.58242187 * 2560; time = 0.0207s; samplesPerSecond = 123904.9
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2971-2980]: CrossEntropyWithSoftmax = 2.09726562 * 2560; EvalClassificationError = 0.60234375 * 2560; time = 0.0208s; samplesPerSecond = 123041.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2981-2990]: CrossEntropyWithSoftmax = 2.11074219 * 2560; EvalClassificationError = 0.59648437 * 2560; time = 0.0208s; samplesPerSecond = 122911.5
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[2991-3000]: CrossEntropyWithSoftmax = 2.04160156 * 2560; EvalClassificationError = 0.58046875 * 2560; time = 0.0208s; samplesPerSecond = 123213.2
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3001-3010]: CrossEntropyWithSoftmax = 2.09511719 * 2560; EvalClassificationError = 0.59843750 * 2560; time = 0.0208s; samplesPerSecond = 123059.2
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3011-3020]: CrossEntropyWithSoftmax = 2.08398438 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0206s; samplesPerSecond = 124169.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3021-3030]: CrossEntropyWithSoftmax = 2.06054688 * 2560; EvalClassificationError = 0.58281250 * 2560; time = 0.0208s; samplesPerSecond = 122964.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3031-3040]: CrossEntropyWithSoftmax = 2.05195312 * 2560; EvalClassificationError = 0.58515625 * 2560; time = 0.0208s; samplesPerSecond = 123023.7
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3041-3050]: CrossEntropyWithSoftmax = 2.07812500 * 2560; EvalClassificationError = 0.58476562 * 2560; time = 0.0208s; samplesPerSecond = 123284.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3051-3060]: CrossEntropyWithSoftmax = 2.04833984 * 2560; EvalClassificationError = 0.60195312 * 2560; time = 0.0208s; samplesPerSecond = 123337.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3061-3070]: CrossEntropyWithSoftmax = 2.09609375 * 2560; EvalClassificationError = 0.59375000 * 2560; time = 0.0207s; samplesPerSecond = 123898.9
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3071-3080]: CrossEntropyWithSoftmax = 2.07294922 * 2560; EvalClassificationError = 0.58007812 * 2560; time = 0.0208s; samplesPerSecond = 123071.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3081-3090]: CrossEntropyWithSoftmax = 1.98027344 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0208s; samplesPerSecond = 123035.5
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3091-3100]: CrossEntropyWithSoftmax = 2.05517578 * 2560; EvalClassificationError = 0.59296875 * 2560; time = 0.0207s; samplesPerSecond = 123397.3
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3101-3110]: CrossEntropyWithSoftmax = 2.03857422 * 2560; EvalClassificationError = 0.59179688 * 2560; time = 0.0206s; samplesPerSecond = 124537.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3111-3120]: CrossEntropyWithSoftmax = 2.04472656 * 2560; EvalClassificationError = 0.59687500 * 2560; time = 0.0208s; samplesPerSecond = 123201.3
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3121-3130]: CrossEntropyWithSoftmax = 2.05312500 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0208s; samplesPerSecond = 123148.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3131-3140]: CrossEntropyWithSoftmax = 2.03496094 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0207s; samplesPerSecond = 123444.9
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3141-3150]: CrossEntropyWithSoftmax = 2.04687500 * 2560; EvalClassificationError = 0.58554688 * 2560; time = 0.0208s; samplesPerSecond = 123242.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3151-3160]: CrossEntropyWithSoftmax = 2.07861328 * 2560; EvalClassificationError = 0.58398438 * 2560; time = 0.0205s; samplesPerSecond = 124829.3
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3161-3170]: CrossEntropyWithSoftmax = 2.01064453 * 2560; EvalClassificationError = 0.56406250 * 2560; time = 0.0208s; samplesPerSecond = 122882.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3171-3180]: CrossEntropyWithSoftmax = 1.96015625 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0208s; samplesPerSecond = 123367.5
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3181-3190]: CrossEntropyWithSoftmax = 2.03876953 * 2560; EvalClassificationError = 0.58476562 * 2560; time = 0.0208s; samplesPerSecond = 122935.1
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3191-3200]: CrossEntropyWithSoftmax = 2.02783203 * 2560; EvalClassificationError = 0.57617188 * 2560; time = 0.0208s; samplesPerSecond = 123017.8
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3201-3210]: CrossEntropyWithSoftmax = 1.99482422 * 2560; EvalClassificationError = 0.56757813 * 2560; time = 0.0206s; samplesPerSecond = 124368.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3211-3220]: CrossEntropyWithSoftmax = 2.03222656 * 2560; EvalClassificationError = 0.58085937 * 2560; time = 0.0209s; samplesPerSecond = 122693.5
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3221-3230]: CrossEntropyWithSoftmax = 2.01005859 * 2560; EvalClassificationError = 0.57382813 * 2560; time = 0.0208s; samplesPerSecond = 123213.2
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3231-3240]: CrossEntropyWithSoftmax = 2.02656250 * 2560; EvalClassificationError = 0.57851562 * 2560; time = 0.0208s; samplesPerSecond = 123231.0
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3241-3250]: CrossEntropyWithSoftmax = 2.05175781 * 2560; EvalClassificationError = 0.59570312 * 2560; time = 0.0208s; samplesPerSecond = 123284.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3251-3260]: CrossEntropyWithSoftmax = 2.03574219 * 2560; EvalClassificationError = 0.59257812 * 2560; time = 0.0206s; samplesPerSecond = 124175.4
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3261-3270]: CrossEntropyWithSoftmax = 2.06083984 * 2560; EvalClassificationError = 0.60312500 * 2560; time = 0.0208s; samplesPerSecond = 123130.2
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3271-3280]: CrossEntropyWithSoftmax = 1.99287109 * 2560; EvalClassificationError = 0.57851562 * 2560; time = 0.0208s; samplesPerSecond = 122905.6
08/17/2016 10:06:21:  Epoch[ 1 of 25]-Minibatch[3281-3290]: CrossEntropyWithSoftmax = 2.03642578 * 2560; EvalClassificationError = 0.58046875 * 2560; time = 0.0209s; samplesPerSecond = 122758.2
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3291-3300]: CrossEntropyWithSoftmax = 2.05029297 * 2560; EvalClassificationError = 0.58007812 * 2560; time = 0.0207s; samplesPerSecond = 123498.5
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3301-3310]: CrossEntropyWithSoftmax = 2.07148437 * 2560; EvalClassificationError = 0.57812500 * 2560; time = 0.0206s; samplesPerSecond = 124314.1
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3311-3320]: CrossEntropyWithSoftmax = 1.99785156 * 2560; EvalClassificationError = 0.56523437 * 2560; time = 0.0207s; samplesPerSecond = 123629.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3321-3330]: CrossEntropyWithSoftmax = 2.02177734 * 2560; EvalClassificationError = 0.58632812 * 2560; time = 0.0208s; samplesPerSecond = 122840.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3331-3340]: CrossEntropyWithSoftmax = 1.98798828 * 2560; EvalClassificationError = 0.57890625 * 2560; time = 0.0208s; samplesPerSecond = 123094.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3341-3350]: CrossEntropyWithSoftmax = 1.98691406 * 2560; EvalClassificationError = 0.58164063 * 2560; time = 0.0205s; samplesPerSecond = 124738.1
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3351-3360]: CrossEntropyWithSoftmax = 1.99462891 * 2560; EvalClassificationError = 0.56835938 * 2560; time = 0.0206s; samplesPerSecond = 124356.4
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3361-3370]: CrossEntropyWithSoftmax = 2.02080078 * 2560; EvalClassificationError = 0.57890625 * 2560; time = 0.0206s; samplesPerSecond = 124386.6
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3371-3380]: CrossEntropyWithSoftmax = 1.98007812 * 2560; EvalClassificationError = 0.56875000 * 2560; time = 0.0206s; samplesPerSecond = 124471.2
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3381-3390]: CrossEntropyWithSoftmax = 1.99853516 * 2560; EvalClassificationError = 0.56367188 * 2560; time = 0.0206s; samplesPerSecond = 124471.2
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3391-3400]: CrossEntropyWithSoftmax = 2.03437500 * 2560; EvalClassificationError = 0.58593750 * 2560; time = 0.0204s; samplesPerSecond = 125355.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3401-3410]: CrossEntropyWithSoftmax = 1.92353516 * 2560; EvalClassificationError = 0.56171875 * 2560; time = 0.0206s; samplesPerSecond = 124241.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3411-3420]: CrossEntropyWithSoftmax = 2.00048828 * 2560; EvalClassificationError = 0.56953125 * 2560; time = 0.0206s; samplesPerSecond = 124019.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3421-3430]: CrossEntropyWithSoftmax = 1.97792969 * 2560; EvalClassificationError = 0.55898437 * 2560; time = 0.0206s; samplesPerSecond = 124157.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3431-3440]: CrossEntropyWithSoftmax = 2.01220703 * 2560; EvalClassificationError = 0.57460937 * 2560; time = 0.0207s; samplesPerSecond = 123869.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3441-3450]: CrossEntropyWithSoftmax = 2.00009766 * 2560; EvalClassificationError = 0.57656250 * 2560; time = 0.0204s; samplesPerSecond = 125749.1
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3451-3460]: CrossEntropyWithSoftmax = 1.98115234 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0206s; samplesPerSecond = 124332.2
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3461-3470]: CrossEntropyWithSoftmax = 1.98291016 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0206s; samplesPerSecond = 124477.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3471-3480]: CrossEntropyWithSoftmax = 1.96835937 * 2560; EvalClassificationError = 0.56601563 * 2560; time = 0.0208s; samplesPerSecond = 123337.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3481-3490]: CrossEntropyWithSoftmax = 2.00556641 * 2560; EvalClassificationError = 0.57382813 * 2560; time = 0.0207s; samplesPerSecond = 123641.6
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3491-3500]: CrossEntropyWithSoftmax = 1.95224609 * 2560; EvalClassificationError = 0.55273438 * 2560; time = 0.0206s; samplesPerSecond = 124447.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3501-3510]: CrossEntropyWithSoftmax = 1.97460938 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0208s; samplesPerSecond = 123343.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3511-3520]: CrossEntropyWithSoftmax = 1.98867188 * 2560; EvalClassificationError = 0.55820313 * 2560; time = 0.0208s; samplesPerSecond = 123201.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3521-3530]: CrossEntropyWithSoftmax = 2.00908203 * 2560; EvalClassificationError = 0.57148438 * 2560; time = 0.0208s; samplesPerSecond = 123006.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3531-3540]: CrossEntropyWithSoftmax = 1.93828125 * 2560; EvalClassificationError = 0.55703125 * 2560; time = 0.0207s; samplesPerSecond = 123379.4
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3541-3550]: CrossEntropyWithSoftmax = 2.03369141 * 2560; EvalClassificationError = 0.58632812 * 2560; time = 0.0207s; samplesPerSecond = 123940.9
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3551-3560]: CrossEntropyWithSoftmax = 1.98261719 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0208s; samplesPerSecond = 123124.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3561-3570]: CrossEntropyWithSoftmax = 1.94062500 * 2560; EvalClassificationError = 0.55429688 * 2560; time = 0.0208s; samplesPerSecond = 122858.4
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3571-3580]: CrossEntropyWithSoftmax = 1.93330078 * 2560; EvalClassificationError = 0.56953125 * 2560; time = 0.0208s; samplesPerSecond = 123165.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3581-3590]: CrossEntropyWithSoftmax = 1.99531250 * 2560; EvalClassificationError = 0.56484375 * 2560; time = 0.0208s; samplesPerSecond = 123355.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3591-3600]: CrossEntropyWithSoftmax = 1.92939453 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0207s; samplesPerSecond = 123952.9
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3601-3610]: CrossEntropyWithSoftmax = 2.01386719 * 2560; EvalClassificationError = 0.58125000 * 2560; time = 0.0207s; samplesPerSecond = 123456.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3611-3620]: CrossEntropyWithSoftmax = 1.92636719 * 2560; EvalClassificationError = 0.55664062 * 2560; time = 0.0209s; samplesPerSecond = 122564.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3621-3630]: CrossEntropyWithSoftmax = 1.97968750 * 2560; EvalClassificationError = 0.56406250 * 2560; time = 0.0208s; samplesPerSecond = 123236.9
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3631-3640]: CrossEntropyWithSoftmax = 1.98378906 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0205s; samplesPerSecond = 124671.3
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3641-3650]: CrossEntropyWithSoftmax = 1.95117188 * 2560; EvalClassificationError = 0.56054688 * 2560; time = 0.0208s; samplesPerSecond = 123219.1
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3651-3660]: CrossEntropyWithSoftmax = 1.91367187 * 2560; EvalClassificationError = 0.55312500 * 2560; time = 0.0208s; samplesPerSecond = 122870.2
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3661-3670]: CrossEntropyWithSoftmax = 1.93222656 * 2560; EvalClassificationError = 0.56875000 * 2560; time = 0.0207s; samplesPerSecond = 123821.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3671-3680]: CrossEntropyWithSoftmax = 1.96425781 * 2560; EvalClassificationError = 0.55507812 * 2560; time = 0.0208s; samplesPerSecond = 122823.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3681-3690]: CrossEntropyWithSoftmax = 1.97607422 * 2560; EvalClassificationError = 0.57812500 * 2560; time = 0.0205s; samplesPerSecond = 124987.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3691-3700]: CrossEntropyWithSoftmax = 1.88613281 * 2560; EvalClassificationError = 0.54531250 * 2560; time = 0.0207s; samplesPerSecond = 123468.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3701-3710]: CrossEntropyWithSoftmax = 2.04335938 * 2560; EvalClassificationError = 0.59531250 * 2560; time = 0.0208s; samplesPerSecond = 123148.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3711-3720]: CrossEntropyWithSoftmax = 1.99658203 * 2560; EvalClassificationError = 0.56914062 * 2560; time = 0.0207s; samplesPerSecond = 123599.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3721-3730]: CrossEntropyWithSoftmax = 1.94013672 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0208s; samplesPerSecond = 123242.8
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3731-3740]: CrossEntropyWithSoftmax = 1.94492187 * 2560; EvalClassificationError = 0.55703125 * 2560; time = 0.0206s; samplesPerSecond = 124398.7
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3741-3750]: CrossEntropyWithSoftmax = 1.89990234 * 2560; EvalClassificationError = 0.55195313 * 2560; time = 0.0208s; samplesPerSecond = 122911.5
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3751-3760]: CrossEntropyWithSoftmax = 1.95078125 * 2560; EvalClassificationError = 0.57500000 * 2560; time = 0.0207s; samplesPerSecond = 123570.0
08/17/2016 10:06:22:  Epoch[ 1 of 25]-Minibatch[3761-3770]: CrossEntropyWithSoftmax = 1.95458984 * 2560; EvalClassificationError = 0.55781250 * 2560; time = 0.0207s; samplesPerSecond = 123444.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3771-3780]: CrossEntropyWithSoftmax = 1.92851562 * 2560; EvalClassificationError = 0.55664062 * 2560; time = 0.0208s; samplesPerSecond = 122941.0
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3781-3790]: CrossEntropyWithSoftmax = 1.98632812 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0206s; samplesPerSecond = 124338.2
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3791-3800]: CrossEntropyWithSoftmax = 1.98984375 * 2560; EvalClassificationError = 0.57226562 * 2560; time = 0.0207s; samplesPerSecond = 123587.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3801-3810]: CrossEntropyWithSoftmax = 1.96445312 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0207s; samplesPerSecond = 123851.0
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3811-3820]: CrossEntropyWithSoftmax = 1.96406250 * 2560; EvalClassificationError = 0.57343750 * 2560; time = 0.0208s; samplesPerSecond = 123349.7
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3821-3830]: CrossEntropyWithSoftmax = 1.93515625 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0207s; samplesPerSecond = 123379.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3831-3840]: CrossEntropyWithSoftmax = 1.92958984 * 2560; EvalClassificationError = 0.56054688 * 2560; time = 0.0206s; samplesPerSecond = 124374.5
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3841-3850]: CrossEntropyWithSoftmax = 1.95273437 * 2560; EvalClassificationError = 0.55546875 * 2560; time = 0.0208s; samplesPerSecond = 123266.6
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3851-3860]: CrossEntropyWithSoftmax = 1.93105469 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0207s; samplesPerSecond = 123391.3
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3861-3870]: CrossEntropyWithSoftmax = 1.91503906 * 2560; EvalClassificationError = 0.55937500 * 2560; time = 0.0207s; samplesPerSecond = 123558.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3871-3880]: CrossEntropyWithSoftmax = 1.90820312 * 2560; EvalClassificationError = 0.55351562 * 2560; time = 0.0206s; samplesPerSecond = 124217.6
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3881-3890]: CrossEntropyWithSoftmax = 1.93691406 * 2560; EvalClassificationError = 0.55507812 * 2560; time = 0.0207s; samplesPerSecond = 123719.3
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3891-3900]: CrossEntropyWithSoftmax = 1.93740234 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0206s; samplesPerSecond = 124314.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3901-3910]: CrossEntropyWithSoftmax = 1.99101562 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0206s; samplesPerSecond = 124127.2
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3911-3920]: CrossEntropyWithSoftmax = 1.94472656 * 2560; EvalClassificationError = 0.56640625 * 2560; time = 0.0206s; samplesPerSecond = 124453.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3921-3930]: CrossEntropyWithSoftmax = 1.91210938 * 2560; EvalClassificationError = 0.56484375 * 2560; time = 0.0204s; samplesPerSecond = 125607.2
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3931-3940]: CrossEntropyWithSoftmax = 1.92392578 * 2560; EvalClassificationError = 0.55976563 * 2560; time = 0.0207s; samplesPerSecond = 123910.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3941-3950]: CrossEntropyWithSoftmax = 1.91240234 * 2560; EvalClassificationError = 0.54570312 * 2560; time = 0.0206s; samplesPerSecond = 124085.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3951-3960]: CrossEntropyWithSoftmax = 1.90849609 * 2560; EvalClassificationError = 0.54492188 * 2560; time = 0.0206s; samplesPerSecond = 124519.7
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3961-3970]: CrossEntropyWithSoftmax = 1.91562500 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0206s; samplesPerSecond = 124271.8
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3971-3980]: CrossEntropyWithSoftmax = 1.94785156 * 2560; EvalClassificationError = 0.55312500 * 2560; time = 0.0203s; samplesPerSecond = 126077.3
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3981-3990]: CrossEntropyWithSoftmax = 1.90478516 * 2560; EvalClassificationError = 0.54843750 * 2560; time = 0.0207s; samplesPerSecond = 123892.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[3991-4000]: CrossEntropyWithSoftmax = 1.92187500 * 2560; EvalClassificationError = 0.54882812 * 2560; time = 0.0207s; samplesPerSecond = 123701.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4001-4010]: CrossEntropyWithSoftmax = 1.95664062 * 2560; EvalClassificationError = 0.57109375 * 2560; time = 0.0208s; samplesPerSecond = 123355.7
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4011-4020]: CrossEntropyWithSoftmax = 1.89951172 * 2560; EvalClassificationError = 0.54765625 * 2560; time = 0.0208s; samplesPerSecond = 123272.5
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4021-4030]: CrossEntropyWithSoftmax = 1.89814453 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0206s; samplesPerSecond = 124562.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4031-4040]: CrossEntropyWithSoftmax = 1.92128906 * 2560; EvalClassificationError = 0.55859375 * 2560; time = 0.0207s; samplesPerSecond = 123701.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4041-4050]: CrossEntropyWithSoftmax = 1.92548828 * 2560; EvalClassificationError = 0.55820313 * 2560; time = 0.0207s; samplesPerSecond = 123438.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4051-4060]: CrossEntropyWithSoftmax = 1.90732422 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0208s; samplesPerSecond = 123278.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4061-4070]: CrossEntropyWithSoftmax = 1.95322266 * 2560; EvalClassificationError = 0.56445312 * 2560; time = 0.0208s; samplesPerSecond = 122828.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4071-4080]: CrossEntropyWithSoftmax = 1.90117187 * 2560; EvalClassificationError = 0.56289062 * 2560; time = 0.0206s; samplesPerSecond = 123976.9
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4081-4090]: CrossEntropyWithSoftmax = 1.87871094 * 2560; EvalClassificationError = 0.54296875 * 2560; time = 0.0208s; samplesPerSecond = 123361.6
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4091-4100]: CrossEntropyWithSoftmax = 1.88349609 * 2560; EvalClassificationError = 0.53554687 * 2560; time = 0.0208s; samplesPerSecond = 123272.5
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4101-4110]: CrossEntropyWithSoftmax = 1.87958984 * 2560; EvalClassificationError = 0.53984375 * 2560; time = 0.0208s; samplesPerSecond = 123118.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4111-4120]: CrossEntropyWithSoftmax = 1.92597656 * 2560; EvalClassificationError = 0.55546875 * 2560; time = 0.0208s; samplesPerSecond = 122876.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4121-4130]: CrossEntropyWithSoftmax = 1.89746094 * 2560; EvalClassificationError = 0.54960937 * 2560; time = 0.0206s; samplesPerSecond = 124067.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4131-4140]: CrossEntropyWithSoftmax = 1.88896484 * 2560; EvalClassificationError = 0.54765625 * 2560; time = 0.0208s; samplesPerSecond = 123112.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4141-4150]: CrossEntropyWithSoftmax = 1.88906250 * 2560; EvalClassificationError = 0.54921875 * 2560; time = 0.0208s; samplesPerSecond = 123000.0
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4151-4160]: CrossEntropyWithSoftmax = 1.99111328 * 2560; EvalClassificationError = 0.56367188 * 2560; time = 0.0208s; samplesPerSecond = 123165.7
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4161-4170]: CrossEntropyWithSoftmax = 1.89814453 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0206s; samplesPerSecond = 124127.2
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4171-4180]: CrossEntropyWithSoftmax = 1.81826172 * 2560; EvalClassificationError = 0.53085938 * 2560; time = 0.0208s; samplesPerSecond = 123367.5
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4181-4190]: CrossEntropyWithSoftmax = 1.87949219 * 2560; EvalClassificationError = 0.53789062 * 2560; time = 0.0207s; samplesPerSecond = 123564.1
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4191-4200]: CrossEntropyWithSoftmax = 1.92109375 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0207s; samplesPerSecond = 123403.2
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4201-4210]: CrossEntropyWithSoftmax = 1.89462891 * 2560; EvalClassificationError = 0.55195313 * 2560; time = 0.0208s; samplesPerSecond = 123071.0
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4211-4220]: CrossEntropyWithSoftmax = 1.93388672 * 2560; EvalClassificationError = 0.56992188 * 2560; time = 0.0206s; samplesPerSecond = 124145.3
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4221-4230]: CrossEntropyWithSoftmax = 1.87373047 * 2560; EvalClassificationError = 0.55117187 * 2560; time = 0.0208s; samplesPerSecond = 122923.3
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4231-4240]: CrossEntropyWithSoftmax = 1.86308594 * 2560; EvalClassificationError = 0.52890625 * 2560; time = 0.0207s; samplesPerSecond = 123689.4
08/17/2016 10:06:23:  Epoch[ 1 of 25]-Minibatch[4241-4250]: CrossEntropyWithSoftmax = 1.92080078 * 2560; EvalClassificationError = 0.53437500 * 2560; time = 0.0207s; samplesPerSecond = 123570.0
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4251-4260]: CrossEntropyWithSoftmax = 1.88125000 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0208s; samplesPerSecond = 123035.5
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4261-4270]: CrossEntropyWithSoftmax = 1.91933594 * 2560; EvalClassificationError = 0.55390625 * 2560; time = 0.0206s; samplesPerSecond = 124441.0
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4271-4280]: CrossEntropyWithSoftmax = 1.86904297 * 2560; EvalClassificationError = 0.54140625 * 2560; time = 0.0208s; samplesPerSecond = 123041.4
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4281-4290]: CrossEntropyWithSoftmax = 1.94648438 * 2560; EvalClassificationError = 0.56562500 * 2560; time = 0.0207s; samplesPerSecond = 123593.9
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4291-4300]: CrossEntropyWithSoftmax = 1.88037109 * 2560; EvalClassificationError = 0.54609375 * 2560; time = 0.0208s; samplesPerSecond = 123296.2
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4301-4310]: CrossEntropyWithSoftmax = 1.87958984 * 2560; EvalClassificationError = 0.55078125 * 2560; time = 0.0206s; samplesPerSecond = 124181.4
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4311-4320]: CrossEntropyWithSoftmax = 1.89619141 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0204s; samplesPerSecond = 125434.9
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4321-4330]: CrossEntropyWithSoftmax = 1.85214844 * 2560; EvalClassificationError = 0.54531250 * 2560; time = 0.0205s; samplesPerSecond = 125116.1
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4331-4340]: CrossEntropyWithSoftmax = 1.86191406 * 2560; EvalClassificationError = 0.54375000 * 2560; time = 0.0205s; samplesPerSecond = 124628.8
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4341-4350]: CrossEntropyWithSoftmax = 1.88662109 * 2560; EvalClassificationError = 0.55585938 * 2560; time = 0.0205s; samplesPerSecond = 124695.6
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4351-4360]: CrossEntropyWithSoftmax = 1.84521484 * 2560; EvalClassificationError = 0.53476563 * 2560; time = 0.0206s; samplesPerSecond = 124537.8
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4361-4370]: CrossEntropyWithSoftmax = 1.84873047 * 2560; EvalClassificationError = 0.52929688 * 2560; time = 0.0203s; samplesPerSecond = 126052.5
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4371-4380]: CrossEntropyWithSoftmax = 1.85107422 * 2560; EvalClassificationError = 0.53867188 * 2560; time = 0.0206s; samplesPerSecond = 124477.3
08/17/2016 10:06:24:  Epoch[ 1 of 25]-Minibatch[4381-4390]: CrossEntropyWithSoftmax = 1.86181641 * 2560; EvalClassificationError = 0.54726562 * 2560; time = 0.0206s; samplesPerSecond = 124495.5
08/17/2016 10:06:24: Finished Epoch[ 1 of 25]: [Training] CrossEntropyWithSoftmax = 2.51173429 * 1124823; EvalClassificationError = 0.66498729 * 1124823; totalSamplesSeen = 1124823; learningRatePerSample = 0.003125; epochTime=9.14987s
08/17/2016 10:06:24: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.1'

08/17/2016 10:06:24: 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

08/17/2016 10:06:24: Starting minibatch loop.
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.87080917 * 10240; EvalClassificationError = 0.54541016 * 10240; time = 0.0565s; samplesPerSecond = 181178.0
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.85411835 * 10240; EvalClassificationError = 0.54160156 * 10240; time = 0.0502s; samplesPerSecond = 204028.8
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.82805862 * 10240; EvalClassificationError = 0.53447266 * 10240; time = 0.0503s; samplesPerSecond = 203550.2
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.85954895 * 10240; EvalClassificationError = 0.53925781 * 10240; time = 0.0502s; samplesPerSecond = 204081.6
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.86950989 * 10240; EvalClassificationError = 0.54326172 * 10240; time = 0.0502s; samplesPerSecond = 203829.8
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.87052841 * 10240; EvalClassificationError = 0.54140625 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.83685074 * 10240; EvalClassificationError = 0.54140625 * 10240; time = 0.0504s; samplesPerSecond = 203344.1
08/17/2016 10:06:24:  Epoch[ 2 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.85371094 * 10240; EvalClassificationError = 0.53906250 * 10240; time = 0.0503s; samplesPerSecond = 203615.0
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.86963959 * 10240; EvalClassificationError = 0.55019531 * 10240; time = 0.0506s; samplesPerSecond = 202227.7
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.82793579 * 10240; EvalClassificationError = 0.53818359 * 10240; time = 0.0503s; samplesPerSecond = 203416.8
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.86454163 * 10240; EvalClassificationError = 0.54208984 * 10240; time = 0.0502s; samplesPerSecond = 203923.1
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.78533173 * 10240; EvalClassificationError = 0.52587891 * 10240; time = 0.0495s; samplesPerSecond = 206927.2
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.82439575 * 10240; EvalClassificationError = 0.52666016 * 10240; time = 0.0499s; samplesPerSecond = 205259.8
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.79557648 * 10240; EvalClassificationError = 0.52607422 * 10240; time = 0.0497s; samplesPerSecond = 206086.0
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.80681152 * 10240; EvalClassificationError = 0.52626953 * 10240; time = 0.0494s; samplesPerSecond = 207098.8
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.82900391 * 10240; EvalClassificationError = 0.53593750 * 10240; time = 0.0495s; samplesPerSecond = 207048.5
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.81436462 * 10240; EvalClassificationError = 0.53017578 * 10240; time = 0.0493s; samplesPerSecond = 207539.5
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.79924011 * 10240; EvalClassificationError = 0.52695313 * 10240; time = 0.0496s; samplesPerSecond = 206501.6
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.80255127 * 10240; EvalClassificationError = 0.53281250 * 10240; time = 0.0502s; samplesPerSecond = 203910.9
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.80909729 * 10240; EvalClassificationError = 0.52724609 * 10240; time = 0.0501s; samplesPerSecond = 204497.3
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.80124207 * 10240; EvalClassificationError = 0.52412109 * 10240; time = 0.0502s; samplesPerSecond = 204134.5
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.77033691 * 10240; EvalClassificationError = 0.52109375 * 10240; time = 0.0502s; samplesPerSecond = 203992.2
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.80584412 * 10240; EvalClassificationError = 0.53183594 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.78554077 * 10240; EvalClassificationError = 0.52587891 * 10240; time = 0.0504s; samplesPerSecond = 203271.4
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.77854309 * 10240; EvalClassificationError = 0.52412109 * 10240; time = 0.0502s; samplesPerSecond = 204020.6
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.77982788 * 10240; EvalClassificationError = 0.52353516 * 10240; time = 0.0503s; samplesPerSecond = 203497.6
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.80072021 * 10240; EvalClassificationError = 0.52265625 * 10240; time = 0.0504s; samplesPerSecond = 203364.2
08/17/2016 10:06:25:  Epoch[ 2 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.78541565 * 10240; EvalClassificationError = 0.51962891 * 10240; time = 0.0503s; samplesPerSecond = 203517.8
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.80490723 * 10240; EvalClassificationError = 0.52832031 * 10240; time = 0.0505s; samplesPerSecond = 202933.0
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.74177246 * 10240; EvalClassificationError = 0.51425781 * 10240; time = 0.0501s; samplesPerSecond = 204191.5
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.76959229 * 10240; EvalClassificationError = 0.52158203 * 10240; time = 0.0504s; samplesPerSecond = 203223.0
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.77478027 * 10240; EvalClassificationError = 0.52294922 * 10240; time = 0.0495s; samplesPerSecond = 206839.4
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.77638550 * 10240; EvalClassificationError = 0.52343750 * 10240; time = 0.0498s; samplesPerSecond = 205647.3
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.76176147 * 10240; EvalClassificationError = 0.51601562 * 10240; time = 0.0532s; samplesPerSecond = 192586.2
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.75238037 * 10240; EvalClassificationError = 0.51259766 * 10240; time = 0.0504s; samplesPerSecond = 203311.8
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.78269653 * 10240; EvalClassificationError = 0.52773437 * 10240; time = 0.0505s; samplesPerSecond = 202659.9
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.76188965 * 10240; EvalClassificationError = 0.51328125 * 10240; time = 0.0503s; samplesPerSecond = 203639.3
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.76193237 * 10240; EvalClassificationError = 0.51484375 * 10240; time = 0.0498s; samplesPerSecond = 205713.4
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.73316650 * 10240; EvalClassificationError = 0.50888672 * 10240; time = 0.0499s; samplesPerSecond = 205296.8
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.77234497 * 10240; EvalClassificationError = 0.52324219 * 10240; time = 0.0499s; samplesPerSecond = 205346.2
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.75307617 * 10240; EvalClassificationError = 0.51865234 * 10240; time = 0.0497s; samplesPerSecond = 205961.6
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.73715210 * 10240; EvalClassificationError = 0.50957031 * 10240; time = 0.0497s; samplesPerSecond = 205903.6
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.73635864 * 10240; EvalClassificationError = 0.51191406 * 10240; time = 0.0499s; samplesPerSecond = 205358.6
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.75302734 * 10240; EvalClassificationError = 0.52119141 * 10240; time = 0.0496s; samplesPerSecond = 206414.2
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.72669067 * 10240; EvalClassificationError = 0.50615234 * 10240; time = 0.0502s; samplesPerSecond = 204167.1
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.72114868 * 10240; EvalClassificationError = 0.51113281 * 10240; time = 0.0506s; samplesPerSecond = 202443.6
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.71973267 * 10240; EvalClassificationError = 0.51757812 * 10240; time = 0.0504s; samplesPerSecond = 203134.3
08/17/2016 10:06:26:  Epoch[ 2 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.70643311 * 10240; EvalClassificationError = 0.50888672 * 10240; time = 0.0502s; samplesPerSecond = 204008.4
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.71411743 * 10240; EvalClassificationError = 0.50732422 * 10240; time = 0.0502s; samplesPerSecond = 204089.8
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.74951172 * 10240; EvalClassificationError = 0.51777344 * 10240; time = 0.0502s; samplesPerSecond = 204179.3
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.70914307 * 10240; EvalClassificationError = 0.50244141 * 10240; time = 0.0501s; samplesPerSecond = 204489.2
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.74641113 * 10240; EvalClassificationError = 0.51943359 * 10240; time = 0.0498s; samplesPerSecond = 205531.7
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.70220337 * 10240; EvalClassificationError = 0.50869141 * 10240; time = 0.0498s; samplesPerSecond = 205432.7
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.70177612 * 10240; EvalClassificationError = 0.50302734 * 10240; time = 0.0495s; samplesPerSecond = 206772.6
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.70757446 * 10240; EvalClassificationError = 0.50585938 * 10240; time = 0.0497s; samplesPerSecond = 205870.5
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.71336060 * 10240; EvalClassificationError = 0.50771484 * 10240; time = 0.0496s; samplesPerSecond = 206297.7
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.72432861 * 10240; EvalClassificationError = 0.51191406 * 10240; time = 0.0497s; samplesPerSecond = 206011.3
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.68609619 * 10240; EvalClassificationError = 0.50205078 * 10240; time = 0.0496s; samplesPerSecond = 206426.6
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.68066406 * 10240; EvalClassificationError = 0.50156250 * 10240; time = 0.0496s; samplesPerSecond = 206410.0
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.71406250 * 10240; EvalClassificationError = 0.50332031 * 10240; time = 0.0495s; samplesPerSecond = 206977.4
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.66672363 * 10240; EvalClassificationError = 0.50078125 * 10240; time = 0.0500s; samplesPerSecond = 204730.4
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.67359619 * 10240; EvalClassificationError = 0.49648437 * 10240; time = 0.0502s; samplesPerSecond = 204106.0
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.68144531 * 10240; EvalClassificationError = 0.50185547 * 10240; time = 0.0502s; samplesPerSecond = 203996.3
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.69470215 * 10240; EvalClassificationError = 0.49951172 * 10240; time = 0.0502s; samplesPerSecond = 204016.6
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.69550781 * 10240; EvalClassificationError = 0.50693359 * 10240; time = 0.0502s; samplesPerSecond = 203781.1
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.69071045 * 10240; EvalClassificationError = 0.50449219 * 10240; time = 0.0501s; samplesPerSecond = 204195.6
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.70854492 * 10240; EvalClassificationError = 0.50810547 * 10240; time = 0.0501s; samplesPerSecond = 204444.3
08/17/2016 10:06:27:  Epoch[ 2 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.68135986 * 10240; EvalClassificationError = 0.50566406 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.67413330 * 10240; EvalClassificationError = 0.49677734 * 10240; time = 0.0504s; samplesPerSecond = 203283.5
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.70518799 * 10240; EvalClassificationError = 0.51113281 * 10240; time = 0.0499s; samplesPerSecond = 205054.3
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.70021973 * 10240; EvalClassificationError = 0.50136719 * 10240; time = 0.0502s; samplesPerSecond = 203915.0
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.66984863 * 10240; EvalClassificationError = 0.50253906 * 10240; time = 0.0499s; samplesPerSecond = 205009.1
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.65366211 * 10240; EvalClassificationError = 0.49492188 * 10240; time = 0.0502s; samplesPerSecond = 204158.9
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.63590088 * 10240; EvalClassificationError = 0.48359375 * 10240; time = 0.0501s; samplesPerSecond = 204432.0
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.65258789 * 10240; EvalClassificationError = 0.49453125 * 10240; time = 0.0504s; samplesPerSecond = 203094.0
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.66165771 * 10240; EvalClassificationError = 0.49267578 * 10240; time = 0.0497s; samplesPerSecond = 206135.8
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.66201172 * 10240; EvalClassificationError = 0.49326172 * 10240; time = 0.0497s; samplesPerSecond = 205833.3
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.66759033 * 10240; EvalClassificationError = 0.49365234 * 10240; time = 0.0498s; samplesPerSecond = 205539.9
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.66092529 * 10240; EvalClassificationError = 0.49609375 * 10240; time = 0.0502s; samplesPerSecond = 203882.5
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.69354248 * 10240; EvalClassificationError = 0.50253906 * 10240; time = 0.0501s; samplesPerSecond = 204489.2
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.64429932 * 10240; EvalClassificationError = 0.49580078 * 10240; time = 0.0504s; samplesPerSecond = 203291.6
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.63934326 * 10240; EvalClassificationError = 0.49316406 * 10240; time = 0.0502s; samplesPerSecond = 203858.2
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.65960693 * 10240; EvalClassificationError = 0.49697266 * 10240; time = 0.0502s; samplesPerSecond = 203837.9
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.64992676 * 10240; EvalClassificationError = 0.48652344 * 10240; time = 0.0500s; samplesPerSecond = 204607.7
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.63374023 * 10240; EvalClassificationError = 0.49091797 * 10240; time = 0.0505s; samplesPerSecond = 202852.6
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.65281982 * 10240; EvalClassificationError = 0.49052734 * 10240; time = 0.0502s; samplesPerSecond = 204183.4
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.63104248 * 10240; EvalClassificationError = 0.48408203 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:06:28:  Epoch[ 2 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.64528809 * 10240; EvalClassificationError = 0.49365234 * 10240; time = 0.0500s; samplesPerSecond = 204681.3
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.65462646 * 10240; EvalClassificationError = 0.49316406 * 10240; time = 0.0503s; samplesPerSecond = 203683.8
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.63771973 * 10240; EvalClassificationError = 0.49716797 * 10240; time = 0.0501s; samplesPerSecond = 204232.2
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.64873047 * 10240; EvalClassificationError = 0.49218750 * 10240; time = 0.0503s; samplesPerSecond = 203744.6
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.62557373 * 10240; EvalClassificationError = 0.48632812 * 10240; time = 0.0497s; samplesPerSecond = 205994.8
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.59788818 * 10240; EvalClassificationError = 0.48496094 * 10240; time = 0.0496s; samplesPerSecond = 206609.9
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.64064941 * 10240; EvalClassificationError = 0.48554687 * 10240; time = 0.0498s; samplesPerSecond = 205742.3
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.65570068 * 10240; EvalClassificationError = 0.49570313 * 10240; time = 0.0498s; samplesPerSecond = 205829.1
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.63572998 * 10240; EvalClassificationError = 0.49404297 * 10240; time = 0.0496s; samplesPerSecond = 206626.6
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.64544678 * 10240; EvalClassificationError = 0.49218750 * 10240; time = 0.0497s; samplesPerSecond = 206148.2
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.59571533 * 10240; EvalClassificationError = 0.47558594 * 10240; time = 0.0499s; samplesPerSecond = 205173.4
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.63305664 * 10240; EvalClassificationError = 0.48330078 * 10240; time = 0.0504s; samplesPerSecond = 203138.3
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.59940186 * 10240; EvalClassificationError = 0.47978516 * 10240; time = 0.0500s; samplesPerSecond = 204816.4
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.61253662 * 10240; EvalClassificationError = 0.47890625 * 10240; time = 0.0501s; samplesPerSecond = 204346.4
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.61354980 * 10240; EvalClassificationError = 0.48134766 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.61715088 * 10240; EvalClassificationError = 0.48730469 * 10240; time = 0.0501s; samplesPerSecond = 204566.8
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.61676025 * 10240; EvalClassificationError = 0.48750000 * 10240; time = 0.0503s; samplesPerSecond = 203400.6
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.60224609 * 10240; EvalClassificationError = 0.47822266 * 10240; time = 0.0504s; samplesPerSecond = 203243.2
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.61368408 * 10240; EvalClassificationError = 0.48857422 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.60842285 * 10240; EvalClassificationError = 0.48984375 * 10240; time = 0.0503s; samplesPerSecond = 203517.8
08/17/2016 10:06:29:  Epoch[ 2 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.64792480 * 10240; EvalClassificationError = 0.49003906 * 10240; time = 0.0502s; samplesPerSecond = 204122.3
08/17/2016 10:06:30:  Epoch[ 2 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.64526367 * 10240; EvalClassificationError = 0.49003906 * 10240; time = 0.0502s; samplesPerSecond = 203947.5
08/17/2016 10:06:30: Finished Epoch[ 2 of 25]: [Training] CrossEntropyWithSoftmax = 1.71836147 * 1124823; EvalClassificationError = 0.50875115 * 1124823; totalSamplesSeen = 2249646; learningRatePerSample = 0.003125; epochTime=5.70624s
08/17/2016 10:06:30: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.2'

08/17/2016 10:06:30: 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

08/17/2016 10:06:30: Starting minibatch loop.
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.58340092 * 10240; EvalClassificationError = 0.47343750 * 10240; time = 0.0514s; samplesPerSecond = 199264.4
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.59035835 * 10240; EvalClassificationError = 0.47734375 * 10240; time = 0.0498s; samplesPerSecond = 205767.1
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.56607037 * 10240; EvalClassificationError = 0.47753906 * 10240; time = 0.0496s; samplesPerSecond = 206401.7
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.57959938 * 10240; EvalClassificationError = 0.47929688 * 10240; time = 0.0494s; samplesPerSecond = 207241.3
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.59701691 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0495s; samplesPerSecond = 206806.0
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.58479462 * 10240; EvalClassificationError = 0.48349609 * 10240; time = 0.0497s; samplesPerSecond = 206218.8
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.56971664 * 10240; EvalClassificationError = 0.48066406 * 10240; time = 0.0498s; samplesPerSecond = 205684.4
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.57250748 * 10240; EvalClassificationError = 0.47705078 * 10240; time = 0.0495s; samplesPerSecond = 206751.7
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.58591919 * 10240; EvalClassificationError = 0.47548828 * 10240; time = 0.0496s; samplesPerSecond = 206639.1
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.59177094 * 10240; EvalClassificationError = 0.47529297 * 10240; time = 0.0496s; samplesPerSecond = 206472.4
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.59887695 * 10240; EvalClassificationError = 0.48955078 * 10240; time = 0.0497s; samplesPerSecond = 205924.3
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.59298248 * 10240; EvalClassificationError = 0.47841797 * 10240; time = 0.0504s; samplesPerSecond = 203271.4
08/17/2016 10:06:30:  Epoch[ 3 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.57116699 * 10240; EvalClassificationError = 0.47636719 * 10240; time = 0.0502s; samplesPerSecond = 204020.6
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.59851532 * 10240; EvalClassificationError = 0.48720703 * 10240; time = 0.0501s; samplesPerSecond = 204423.9
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.53499603 * 10240; EvalClassificationError = 0.46435547 * 10240; time = 0.0501s; samplesPerSecond = 204530.0
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.58722229 * 10240; EvalClassificationError = 0.47558594 * 10240; time = 0.0500s; samplesPerSecond = 204644.5
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.57576447 * 10240; EvalClassificationError = 0.47753906 * 10240; time = 0.0496s; samplesPerSecond = 206322.7
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.58305969 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0496s; samplesPerSecond = 206339.3
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.55499573 * 10240; EvalClassificationError = 0.47060547 * 10240; time = 0.0494s; samplesPerSecond = 207266.5
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.53370056 * 10240; EvalClassificationError = 0.46474609 * 10240; time = 0.0495s; samplesPerSecond = 206906.3
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.56981812 * 10240; EvalClassificationError = 0.47402344 * 10240; time = 0.0494s; samplesPerSecond = 207266.5
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.59979248 * 10240; EvalClassificationError = 0.47998047 * 10240; time = 0.0495s; samplesPerSecond = 206839.4
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.54044800 * 10240; EvalClassificationError = 0.46933594 * 10240; time = 0.0497s; samplesPerSecond = 206227.1
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.56610718 * 10240; EvalClassificationError = 0.46904297 * 10240; time = 0.0505s; samplesPerSecond = 202908.9
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.54576111 * 10240; EvalClassificationError = 0.47636719 * 10240; time = 0.0509s; samplesPerSecond = 201111.6
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.54839783 * 10240; EvalClassificationError = 0.46220703 * 10240; time = 0.0500s; samplesPerSecond = 204697.7
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.56071777 * 10240; EvalClassificationError = 0.47490234 * 10240; time = 0.0497s; samplesPerSecond = 206036.2
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.55014343 * 10240; EvalClassificationError = 0.46943359 * 10240; time = 0.0500s; samplesPerSecond = 204980.4
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.51734619 * 10240; EvalClassificationError = 0.45673828 * 10240; time = 0.0495s; samplesPerSecond = 206747.6
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.52967529 * 10240; EvalClassificationError = 0.45917969 * 10240; time = 0.0504s; samplesPerSecond = 203001.4
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.53317566 * 10240; EvalClassificationError = 0.46699219 * 10240; time = 0.0503s; samplesPerSecond = 203562.3
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.54077759 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0503s; samplesPerSecond = 203558.3
08/17/2016 10:06:31:  Epoch[ 3 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.51933594 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0504s; samplesPerSecond = 203005.4
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.54946289 * 10240; EvalClassificationError = 0.47294922 * 10240; time = 0.0503s; samplesPerSecond = 203481.4
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.57000122 * 10240; EvalClassificationError = 0.46953125 * 10240; time = 0.0503s; samplesPerSecond = 203708.1
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.53900146 * 10240; EvalClassificationError = 0.47011719 * 10240; time = 0.0498s; samplesPerSecond = 205527.6
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.57963867 * 10240; EvalClassificationError = 0.47617188 * 10240; time = 0.0500s; samplesPerSecond = 204959.9
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.55053711 * 10240; EvalClassificationError = 0.46835938 * 10240; time = 0.0496s; samplesPerSecond = 206281.1
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.56354370 * 10240; EvalClassificationError = 0.46845703 * 10240; time = 0.0499s; samplesPerSecond = 205416.2
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.52522583 * 10240; EvalClassificationError = 0.45878906 * 10240; time = 0.0497s; samplesPerSecond = 206040.4
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.54268188 * 10240; EvalClassificationError = 0.46367188 * 10240; time = 0.0502s; samplesPerSecond = 204142.7
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.55119019 * 10240; EvalClassificationError = 0.46660156 * 10240; time = 0.0503s; samplesPerSecond = 203736.5
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.54223633 * 10240; EvalClassificationError = 0.46572266 * 10240; time = 0.0503s; samplesPerSecond = 203748.7
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.54182129 * 10240; EvalClassificationError = 0.46777344 * 10240; time = 0.0504s; samplesPerSecond = 203166.5
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.57411499 * 10240; EvalClassificationError = 0.47626953 * 10240; time = 0.0502s; samplesPerSecond = 203785.1
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.53216553 * 10240; EvalClassificationError = 0.46376953 * 10240; time = 0.0501s; samplesPerSecond = 204215.9
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.52470703 * 10240; EvalClassificationError = 0.46123047 * 10240; time = 0.0504s; samplesPerSecond = 203323.9
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.52718506 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0502s; samplesPerSecond = 203837.9
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.50441284 * 10240; EvalClassificationError = 0.45888672 * 10240; time = 0.0501s; samplesPerSecond = 204273.0
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.54093628 * 10240; EvalClassificationError = 0.47363281 * 10240; time = 0.0503s; samplesPerSecond = 203509.7
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.52893677 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.50106812 * 10240; EvalClassificationError = 0.45751953 * 10240; time = 0.0503s; samplesPerSecond = 203404.6
08/17/2016 10:06:32:  Epoch[ 3 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.52561646 * 10240; EvalClassificationError = 0.46914062 * 10240; time = 0.0503s; samplesPerSecond = 203412.7
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.52164307 * 10240; EvalClassificationError = 0.45722656 * 10240; time = 0.0501s; samplesPerSecond = 204379.0
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.52805176 * 10240; EvalClassificationError = 0.46982422 * 10240; time = 0.0500s; samplesPerSecond = 204779.5
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.53937378 * 10240; EvalClassificationError = 0.46767578 * 10240; time = 0.0500s; samplesPerSecond = 204722.2
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.52915039 * 10240; EvalClassificationError = 0.46660156 * 10240; time = 0.0497s; samplesPerSecond = 205986.5
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.49828491 * 10240; EvalClassificationError = 0.45556641 * 10240; time = 0.0496s; samplesPerSecond = 206472.4
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.52473755 * 10240; EvalClassificationError = 0.46757813 * 10240; time = 0.0499s; samplesPerSecond = 205103.6
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.52908936 * 10240; EvalClassificationError = 0.46386719 * 10240; time = 0.0495s; samplesPerSecond = 206664.1
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.52870483 * 10240; EvalClassificationError = 0.47011719 * 10240; time = 0.0500s; samplesPerSecond = 204800.0
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.55184326 * 10240; EvalClassificationError = 0.47070312 * 10240; time = 0.0496s; samplesPerSecond = 206289.4
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.51380615 * 10240; EvalClassificationError = 0.45703125 * 10240; time = 0.0498s; samplesPerSecond = 205601.8
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.54506836 * 10240; EvalClassificationError = 0.46396484 * 10240; time = 0.0496s; samplesPerSecond = 206534.9
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.51908569 * 10240; EvalClassificationError = 0.46201172 * 10240; time = 0.0496s; samplesPerSecond = 206389.2
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.51651001 * 10240; EvalClassificationError = 0.46269531 * 10240; time = 0.0499s; samplesPerSecond = 205387.4
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.52427979 * 10240; EvalClassificationError = 0.46357422 * 10240; time = 0.0498s; samplesPerSecond = 205825.0
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.53388672 * 10240; EvalClassificationError = 0.46582031 * 10240; time = 0.0495s; samplesPerSecond = 206714.2
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.53427734 * 10240; EvalClassificationError = 0.46367188 * 10240; time = 0.0498s; samplesPerSecond = 205663.8
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.50927734 * 10240; EvalClassificationError = 0.45878906 * 10240; time = 0.0501s; samplesPerSecond = 204562.7
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.52375488 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0502s; samplesPerSecond = 203837.9
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.51799316 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:06:33:  Epoch[ 3 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.50981445 * 10240; EvalClassificationError = 0.46259766 * 10240; time = 0.0502s; samplesPerSecond = 203996.3
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.51186523 * 10240; EvalClassificationError = 0.46035156 * 10240; time = 0.0500s; samplesPerSecond = 204746.8
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.51635742 * 10240; EvalClassificationError = 0.46386719 * 10240; time = 0.0502s; samplesPerSecond = 204126.4
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.51614990 * 10240; EvalClassificationError = 0.45937500 * 10240; time = 0.0500s; samplesPerSecond = 204943.5
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.52603760 * 10240; EvalClassificationError = 0.45830078 * 10240; time = 0.0496s; samplesPerSecond = 206393.4
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.48659668 * 10240; EvalClassificationError = 0.45859375 * 10240; time = 0.0496s; samplesPerSecond = 206559.9
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.50397949 * 10240; EvalClassificationError = 0.45976563 * 10240; time = 0.0495s; samplesPerSecond = 207044.4
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.51024170 * 10240; EvalClassificationError = 0.45566406 * 10240; time = 0.0496s; samplesPerSecond = 206389.2
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.49234619 * 10240; EvalClassificationError = 0.45097656 * 10240; time = 0.0496s; samplesPerSecond = 206647.4
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.50100098 * 10240; EvalClassificationError = 0.46171875 * 10240; time = 0.0496s; samplesPerSecond = 206401.7
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.49050293 * 10240; EvalClassificationError = 0.45683594 * 10240; time = 0.0496s; samplesPerSecond = 206618.2
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.52199707 * 10240; EvalClassificationError = 0.46855469 * 10240; time = 0.0494s; samplesPerSecond = 207321.0
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.50833740 * 10240; EvalClassificationError = 0.45927734 * 10240; time = 0.0494s; samplesPerSecond = 207140.7
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.49959717 * 10240; EvalClassificationError = 0.46250000 * 10240; time = 0.0495s; samplesPerSecond = 206772.6
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.49371338 * 10240; EvalClassificationError = 0.45214844 * 10240; time = 0.0496s; samplesPerSecond = 206605.7
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.48048096 * 10240; EvalClassificationError = 0.45351562 * 10240; time = 0.0497s; samplesPerSecond = 206144.1
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.47495117 * 10240; EvalClassificationError = 0.45576172 * 10240; time = 0.0495s; samplesPerSecond = 206914.7
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.49230957 * 10240; EvalClassificationError = 0.45771484 * 10240; time = 0.0502s; samplesPerSecond = 203902.8
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.48065186 * 10240; EvalClassificationError = 0.44980469 * 10240; time = 0.0502s; samplesPerSecond = 204012.5
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.48742676 * 10240; EvalClassificationError = 0.45244141 * 10240; time = 0.0502s; samplesPerSecond = 204138.6
08/17/2016 10:06:34:  Epoch[ 3 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.51424561 * 10240; EvalClassificationError = 0.46640625 * 10240; time = 0.0501s; samplesPerSecond = 204191.5
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.49844971 * 10240; EvalClassificationError = 0.45878906 * 10240; time = 0.0503s; samplesPerSecond = 203708.1
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.51334229 * 10240; EvalClassificationError = 0.46044922 * 10240; time = 0.0502s; samplesPerSecond = 203801.4
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.50373535 * 10240; EvalClassificationError = 0.46181641 * 10240; time = 0.0497s; samplesPerSecond = 205932.6
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.50657959 * 10240; EvalClassificationError = 0.45566406 * 10240; time = 0.0497s; samplesPerSecond = 206139.9
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.51496582 * 10240; EvalClassificationError = 0.46269531 * 10240; time = 0.0497s; samplesPerSecond = 205862.2
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.48491211 * 10240; EvalClassificationError = 0.45322266 * 10240; time = 0.0497s; samplesPerSecond = 206131.6
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.49389648 * 10240; EvalClassificationError = 0.45185547 * 10240; time = 0.0497s; samplesPerSecond = 206036.2
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.47214355 * 10240; EvalClassificationError = 0.45078125 * 10240; time = 0.0497s; samplesPerSecond = 205829.1
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.48314209 * 10240; EvalClassificationError = 0.44189453 * 10240; time = 0.0497s; samplesPerSecond = 205949.2
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.47309570 * 10240; EvalClassificationError = 0.45429687 * 10240; time = 0.0495s; samplesPerSecond = 206764.3
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.46632080 * 10240; EvalClassificationError = 0.44228516 * 10240; time = 0.0496s; samplesPerSecond = 206443.3
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.49639893 * 10240; EvalClassificationError = 0.45908203 * 10240; time = 0.0500s; samplesPerSecond = 204890.2
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.49178467 * 10240; EvalClassificationError = 0.44941406 * 10240; time = 0.0496s; samplesPerSecond = 206331.0
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.47518311 * 10240; EvalClassificationError = 0.45087891 * 10240; time = 0.0495s; samplesPerSecond = 206826.9
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.47810059 * 10240; EvalClassificationError = 0.44912109 * 10240; time = 0.0498s; samplesPerSecond = 205453.3
08/17/2016 10:06:35:  Epoch[ 3 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.46059570 * 10240; EvalClassificationError = 0.44892578 * 10240; time = 0.0496s; samplesPerSecond = 206480.8
08/17/2016 10:06:35: Finished Epoch[ 3 of 25]: [Training] CrossEntropyWithSoftmax = 1.52993993 * 1124823; EvalClassificationError = 0.46461888 * 1124823; totalSamplesSeen = 3374469; learningRatePerSample = 0.003125; epochTime=5.67776s
08/17/2016 10:06:35: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.3'

08/17/2016 10:06:35: 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

08/17/2016 10:06:36: Starting minibatch loop.
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.46753597 * 10240; EvalClassificationError = 0.44482422 * 10240; time = 0.0517s; samplesPerSecond = 197966.2
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.43500557 * 10240; EvalClassificationError = 0.44599609 * 10240; time = 0.0497s; samplesPerSecond = 205974.1
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.50104313 * 10240; EvalClassificationError = 0.46298828 * 10240; time = 0.0498s; samplesPerSecond = 205825.0
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.46389656 * 10240; EvalClassificationError = 0.45302734 * 10240; time = 0.0495s; samplesPerSecond = 206689.1
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.47590866 * 10240; EvalClassificationError = 0.45048828 * 10240; time = 0.0497s; samplesPerSecond = 206123.3
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.47121429 * 10240; EvalClassificationError = 0.44785156 * 10240; time = 0.0498s; samplesPerSecond = 205754.7
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.46373215 * 10240; EvalClassificationError = 0.45039062 * 10240; time = 0.0502s; samplesPerSecond = 203967.8
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.47583084 * 10240; EvalClassificationError = 0.45205078 * 10240; time = 0.0503s; samplesPerSecond = 203602.8
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.45895538 * 10240; EvalClassificationError = 0.44697266 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.44072723 * 10240; EvalClassificationError = 0.44091797 * 10240; time = 0.0504s; samplesPerSecond = 203227.0
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.43892822 * 10240; EvalClassificationError = 0.44316406 * 10240; time = 0.0503s; samplesPerSecond = 203400.6
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.44162598 * 10240; EvalClassificationError = 0.44394531 * 10240; time = 0.0501s; samplesPerSecond = 204309.7
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.42991943 * 10240; EvalClassificationError = 0.44316406 * 10240; time = 0.0502s; samplesPerSecond = 203797.3
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.45009918 * 10240; EvalClassificationError = 0.44951172 * 10240; time = 0.0502s; samplesPerSecond = 203801.4
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.47708893 * 10240; EvalClassificationError = 0.44707031 * 10240; time = 0.0502s; samplesPerSecond = 203785.1
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.47209015 * 10240; EvalClassificationError = 0.44970703 * 10240; time = 0.0504s; samplesPerSecond = 203065.8
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.48058014 * 10240; EvalClassificationError = 0.45166016 * 10240; time = 0.0502s; samplesPerSecond = 204081.6
08/17/2016 10:06:36:  Epoch[ 4 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.44656525 * 10240; EvalClassificationError = 0.44248047 * 10240; time = 0.0502s; samplesPerSecond = 204146.7
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.46854553 * 10240; EvalClassificationError = 0.44824219 * 10240; time = 0.0500s; samplesPerSecond = 204628.1
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.44516296 * 10240; EvalClassificationError = 0.44375000 * 10240; time = 0.0502s; samplesPerSecond = 204126.4
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.46378784 * 10240; EvalClassificationError = 0.45097656 * 10240; time = 0.0497s; samplesPerSecond = 205920.2
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.45131226 * 10240; EvalClassificationError = 0.44423828 * 10240; time = 0.0495s; samplesPerSecond = 206747.6
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.42963867 * 10240; EvalClassificationError = 0.43759766 * 10240; time = 0.0497s; samplesPerSecond = 206102.6
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.43845520 * 10240; EvalClassificationError = 0.43925781 * 10240; time = 0.0498s; samplesPerSecond = 205754.7
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.44781799 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0495s; samplesPerSecond = 206910.5
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.43560181 * 10240; EvalClassificationError = 0.43730469 * 10240; time = 0.0498s; samplesPerSecond = 205696.8
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.44180603 * 10240; EvalClassificationError = 0.44335938 * 10240; time = 0.0502s; samplesPerSecond = 204045.0
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.42887268 * 10240; EvalClassificationError = 0.43496094 * 10240; time = 0.0501s; samplesPerSecond = 204379.0
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.46052856 * 10240; EvalClassificationError = 0.44677734 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.43403320 * 10240; EvalClassificationError = 0.44238281 * 10240; time = 0.0503s; samplesPerSecond = 203696.0
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.44909363 * 10240; EvalClassificationError = 0.45175781 * 10240; time = 0.0502s; samplesPerSecond = 203789.2
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.44458008 * 10240; EvalClassificationError = 0.43808594 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.41885986 * 10240; EvalClassificationError = 0.43681641 * 10240; time = 0.0500s; samplesPerSecond = 204656.7
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.44123840 * 10240; EvalClassificationError = 0.44853516 * 10240; time = 0.0501s; samplesPerSecond = 204399.4
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.43996887 * 10240; EvalClassificationError = 0.44589844 * 10240; time = 0.0503s; samplesPerSecond = 203517.8
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.44241638 * 10240; EvalClassificationError = 0.44658203 * 10240; time = 0.0503s; samplesPerSecond = 203505.7
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.42617798 * 10240; EvalClassificationError = 0.43623047 * 10240; time = 0.0502s; samplesPerSecond = 203971.9
08/17/2016 10:06:37:  Epoch[ 4 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.45087280 * 10240; EvalClassificationError = 0.44560547 * 10240; time = 0.0502s; samplesPerSecond = 204032.8
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.42919922 * 10240; EvalClassificationError = 0.44091797 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.45617065 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0504s; samplesPerSecond = 203231.1
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.45221558 * 10240; EvalClassificationError = 0.44921875 * 10240; time = 0.0499s; samplesPerSecond = 205346.2
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.40331421 * 10240; EvalClassificationError = 0.43369141 * 10240; time = 0.0498s; samplesPerSecond = 205820.9
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.41793213 * 10240; EvalClassificationError = 0.43828125 * 10240; time = 0.0497s; samplesPerSecond = 205891.2
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.43622437 * 10240; EvalClassificationError = 0.44531250 * 10240; time = 0.0498s; samplesPerSecond = 205461.6
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.40888062 * 10240; EvalClassificationError = 0.43144531 * 10240; time = 0.0498s; samplesPerSecond = 205750.6
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.43164062 * 10240; EvalClassificationError = 0.44267578 * 10240; time = 0.0496s; samplesPerSecond = 206547.4
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.43657837 * 10240; EvalClassificationError = 0.44570312 * 10240; time = 0.0495s; samplesPerSecond = 206747.6
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.48072510 * 10240; EvalClassificationError = 0.45351562 * 10240; time = 0.0497s; samplesPerSecond = 206065.2
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.43620605 * 10240; EvalClassificationError = 0.44033203 * 10240; time = 0.0497s; samplesPerSecond = 206065.2
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.40113525 * 10240; EvalClassificationError = 0.43798828 * 10240; time = 0.0497s; samplesPerSecond = 206040.4
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.41509399 * 10240; EvalClassificationError = 0.44023438 * 10240; time = 0.0497s; samplesPerSecond = 206106.7
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.43070068 * 10240; EvalClassificationError = 0.43691406 * 10240; time = 0.0499s; samplesPerSecond = 205350.3
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.41268921 * 10240; EvalClassificationError = 0.43798828 * 10240; time = 0.0496s; samplesPerSecond = 206439.1
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.42633057 * 10240; EvalClassificationError = 0.43759766 * 10240; time = 0.0498s; samplesPerSecond = 205779.5
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.41810913 * 10240; EvalClassificationError = 0.43417969 * 10240; time = 0.0495s; samplesPerSecond = 206768.4
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.41132813 * 10240; EvalClassificationError = 0.44013672 * 10240; time = 0.0500s; samplesPerSecond = 204927.1
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.44533691 * 10240; EvalClassificationError = 0.44433594 * 10240; time = 0.0498s; samplesPerSecond = 205490.4
08/17/2016 10:06:38:  Epoch[ 4 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.43714600 * 10240; EvalClassificationError = 0.44082031 * 10240; time = 0.0498s; samplesPerSecond = 205672.0
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.42601929 * 10240; EvalClassificationError = 0.43310547 * 10240; time = 0.0499s; samplesPerSecond = 205226.9
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.39274292 * 10240; EvalClassificationError = 0.43476562 * 10240; time = 0.0497s; samplesPerSecond = 205936.8
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.43494873 * 10240; EvalClassificationError = 0.44531250 * 10240; time = 0.0497s; samplesPerSecond = 206139.9
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.42048340 * 10240; EvalClassificationError = 0.43691406 * 10240; time = 0.0498s; samplesPerSecond = 205734.0
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.41633911 * 10240; EvalClassificationError = 0.43359375 * 10240; time = 0.0499s; samplesPerSecond = 205321.5
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.41703491 * 10240; EvalClassificationError = 0.43818359 * 10240; time = 0.0497s; samplesPerSecond = 205907.8
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.42056885 * 10240; EvalClassificationError = 0.43632813 * 10240; time = 0.0496s; samplesPerSecond = 206593.2
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.44830933 * 10240; EvalClassificationError = 0.44960937 * 10240; time = 0.0496s; samplesPerSecond = 206543.2
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.44291382 * 10240; EvalClassificationError = 0.44531250 * 10240; time = 0.0497s; samplesPerSecond = 205874.7
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.43601685 * 10240; EvalClassificationError = 0.43925781 * 10240; time = 0.0498s; samplesPerSecond = 205796.1
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.44832153 * 10240; EvalClassificationError = 0.44150391 * 10240; time = 0.0498s; samplesPerSecond = 205812.6
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.41801758 * 10240; EvalClassificationError = 0.44501953 * 10240; time = 0.0495s; samplesPerSecond = 206722.5
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.42423706 * 10240; EvalClassificationError = 0.44462891 * 10240; time = 0.0496s; samplesPerSecond = 206310.2
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.42798462 * 10240; EvalClassificationError = 0.43632813 * 10240; time = 0.0497s; samplesPerSecond = 206210.5
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.39119873 * 10240; EvalClassificationError = 0.42773438 * 10240; time = 0.0497s; samplesPerSecond = 205924.3
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.40792236 * 10240; EvalClassificationError = 0.43007812 * 10240; time = 0.0497s; samplesPerSecond = 206139.9
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.42238770 * 10240; EvalClassificationError = 0.43613281 * 10240; time = 0.0504s; samplesPerSecond = 203065.8
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.41942139 * 10240; EvalClassificationError = 0.43349609 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.42006836 * 10240; EvalClassificationError = 0.43886719 * 10240; time = 0.0504s; samplesPerSecond = 203251.2
08/17/2016 10:06:39:  Epoch[ 4 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.42760010 * 10240; EvalClassificationError = 0.43789062 * 10240; time = 0.0503s; samplesPerSecond = 203647.4
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.41542969 * 10240; EvalClassificationError = 0.43535156 * 10240; time = 0.0505s; samplesPerSecond = 202876.7
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.40704346 * 10240; EvalClassificationError = 0.43457031 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.41054688 * 10240; EvalClassificationError = 0.43369141 * 10240; time = 0.0499s; samplesPerSecond = 205005.0
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.40606689 * 10240; EvalClassificationError = 0.42988281 * 10240; time = 0.0497s; samplesPerSecond = 206056.9
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.41278076 * 10240; EvalClassificationError = 0.43017578 * 10240; time = 0.0496s; samplesPerSecond = 206464.1
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.41398926 * 10240; EvalClassificationError = 0.43476562 * 10240; time = 0.0496s; samplesPerSecond = 206264.5
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.42814941 * 10240; EvalClassificationError = 0.44003906 * 10240; time = 0.0498s; samplesPerSecond = 205816.7
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.45415039 * 10240; EvalClassificationError = 0.44521484 * 10240; time = 0.0501s; samplesPerSecond = 204411.6
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.39675293 * 10240; EvalClassificationError = 0.42695312 * 10240; time = 0.0502s; samplesPerSecond = 203862.2
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.41441650 * 10240; EvalClassificationError = 0.43671875 * 10240; time = 0.0502s; samplesPerSecond = 204142.7
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.40488281 * 10240; EvalClassificationError = 0.43779297 * 10240; time = 0.0503s; samplesPerSecond = 203437.0
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.42299805 * 10240; EvalClassificationError = 0.44511719 * 10240; time = 0.0501s; samplesPerSecond = 204534.1
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.38688965 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0501s; samplesPerSecond = 204215.9
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.38105469 * 10240; EvalClassificationError = 0.42548828 * 10240; time = 0.0502s; samplesPerSecond = 203797.3
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.40173340 * 10240; EvalClassificationError = 0.43085937 * 10240; time = 0.0502s; samplesPerSecond = 204126.4
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.40972900 * 10240; EvalClassificationError = 0.42861328 * 10240; time = 0.0504s; samplesPerSecond = 203271.4
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.37757568 * 10240; EvalClassificationError = 0.42265625 * 10240; time = 0.0503s; samplesPerSecond = 203748.7
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.38643799 * 10240; EvalClassificationError = 0.42792969 * 10240; time = 0.0504s; samplesPerSecond = 203348.1
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.40734863 * 10240; EvalClassificationError = 0.43427734 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:40:  Epoch[ 4 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.40645752 * 10240; EvalClassificationError = 0.43300781 * 10240; time = 0.0502s; samplesPerSecond = 204012.5
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.39410400 * 10240; EvalClassificationError = 0.43750000 * 10240; time = 0.0500s; samplesPerSecond = 204611.8
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.40441895 * 10240; EvalClassificationError = 0.42949219 * 10240; time = 0.0502s; samplesPerSecond = 203821.7
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.40203857 * 10240; EvalClassificationError = 0.42529297 * 10240; time = 0.0500s; samplesPerSecond = 204742.7
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.40410156 * 10240; EvalClassificationError = 0.43818359 * 10240; time = 0.0496s; samplesPerSecond = 206455.8
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.41491699 * 10240; EvalClassificationError = 0.43574219 * 10240; time = 0.0495s; samplesPerSecond = 206814.4
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.37197266 * 10240; EvalClassificationError = 0.42089844 * 10240; time = 0.0496s; samplesPerSecond = 206322.7
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.40622559 * 10240; EvalClassificationError = 0.43056641 * 10240; time = 0.0496s; samplesPerSecond = 206289.4
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.38341064 * 10240; EvalClassificationError = 0.42919922 * 10240; time = 0.0495s; samplesPerSecond = 207027.6
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.39171143 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0498s; samplesPerSecond = 205630.7
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.37885742 * 10240; EvalClassificationError = 0.42871094 * 10240; time = 0.0501s; samplesPerSecond = 204268.9
08/17/2016 10:06:41:  Epoch[ 4 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.37547607 * 10240; EvalClassificationError = 0.43066406 * 10240; time = 0.0502s; samplesPerSecond = 203858.2
08/17/2016 10:06:41: Finished Epoch[ 4 of 25]: [Training] CrossEntropyWithSoftmax = 1.42796456 * 1124823; EvalClassificationError = 0.43943091 * 1124823; totalSamplesSeen = 4499292; learningRatePerSample = 0.003125; epochTime=5.68896s
08/17/2016 10:06:41: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.4'

08/17/2016 10:06:41: 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

08/17/2016 10:06:41: Starting minibatch loop.
08/17/2016 10:06:41:  Epoch[ 5 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.35824862 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0523s; samplesPerSecond = 195726.1
08/17/2016 10:06:41:  Epoch[ 5 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.41593447 * 10240; EvalClassificationError = 0.43593750 * 10240; time = 0.0502s; samplesPerSecond = 203797.3
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.37350826 * 10240; EvalClassificationError = 0.42431641 * 10240; time = 0.0502s; samplesPerSecond = 203906.9
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.39748840 * 10240; EvalClassificationError = 0.43271484 * 10240; time = 0.0539s; samplesPerSecond = 190087.2
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.39132690 * 10240; EvalClassificationError = 0.43056641 * 10240; time = 0.0507s; samplesPerSecond = 201980.4
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.36961746 * 10240; EvalClassificationError = 0.42246094 * 10240; time = 0.0501s; samplesPerSecond = 204252.6
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.37131271 * 10240; EvalClassificationError = 0.42763672 * 10240; time = 0.0498s; samplesPerSecond = 205717.5
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.37797928 * 10240; EvalClassificationError = 0.42978516 * 10240; time = 0.0496s; samplesPerSecond = 206272.8
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.37298508 * 10240; EvalClassificationError = 0.42558594 * 10240; time = 0.0500s; samplesPerSecond = 204816.4
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.37026825 * 10240; EvalClassificationError = 0.42246094 * 10240; time = 0.0497s; samplesPerSecond = 205882.9
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.37343445 * 10240; EvalClassificationError = 0.42773438 * 10240; time = 0.0499s; samplesPerSecond = 205379.2
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.38656769 * 10240; EvalClassificationError = 0.42714844 * 10240; time = 0.0497s; samplesPerSecond = 206098.4
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.34427948 * 10240; EvalClassificationError = 0.42158203 * 10240; time = 0.0497s; samplesPerSecond = 205907.8
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.38793488 * 10240; EvalClassificationError = 0.43154297 * 10240; time = 0.0498s; samplesPerSecond = 205531.7
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.37241821 * 10240; EvalClassificationError = 0.42939453 * 10240; time = 0.0498s; samplesPerSecond = 205465.7
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.37007446 * 10240; EvalClassificationError = 0.42421875 * 10240; time = 0.0498s; samplesPerSecond = 205676.2
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.36491241 * 10240; EvalClassificationError = 0.41835937 * 10240; time = 0.0496s; samplesPerSecond = 206439.1
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.36803741 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0493s; samplesPerSecond = 207505.9
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.36040802 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0499s; samplesPerSecond = 205169.3
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.36965332 * 10240; EvalClassificationError = 0.42998047 * 10240; time = 0.0500s; samplesPerSecond = 204697.7
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.40101013 * 10240; EvalClassificationError = 0.43125000 * 10240; time = 0.0502s; samplesPerSecond = 204016.6
08/17/2016 10:06:42:  Epoch[ 5 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.36048279 * 10240; EvalClassificationError = 0.42480469 * 10240; time = 0.0504s; samplesPerSecond = 203275.4
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.37379761 * 10240; EvalClassificationError = 0.43232422 * 10240; time = 0.0503s; samplesPerSecond = 203586.6
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.39001465 * 10240; EvalClassificationError = 0.43642578 * 10240; time = 0.0502s; samplesPerSecond = 203805.4
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.36842346 * 10240; EvalClassificationError = 0.42714844 * 10240; time = 0.0501s; samplesPerSecond = 204485.1
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.36590271 * 10240; EvalClassificationError = 0.43115234 * 10240; time = 0.0499s; samplesPerSecond = 205391.5
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.33771362 * 10240; EvalClassificationError = 0.41767578 * 10240; time = 0.0502s; samplesPerSecond = 204081.6
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.39433899 * 10240; EvalClassificationError = 0.42890625 * 10240; time = 0.0503s; samplesPerSecond = 203655.5
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.36509094 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0502s; samplesPerSecond = 204012.5
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.38058167 * 10240; EvalClassificationError = 0.42089844 * 10240; time = 0.0502s; samplesPerSecond = 204110.1
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.37791748 * 10240; EvalClassificationError = 0.42451172 * 10240; time = 0.0503s; samplesPerSecond = 203610.9
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.36184692 * 10240; EvalClassificationError = 0.42324219 * 10240; time = 0.0502s; samplesPerSecond = 203833.8
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.38350525 * 10240; EvalClassificationError = 0.42929688 * 10240; time = 0.0504s; samplesPerSecond = 203053.7
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.37052307 * 10240; EvalClassificationError = 0.42343750 * 10240; time = 0.0502s; samplesPerSecond = 203975.9
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.36412048 * 10240; EvalClassificationError = 0.41835937 * 10240; time = 0.0505s; samplesPerSecond = 202941.1
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.36768799 * 10240; EvalClassificationError = 0.41875000 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.34116516 * 10240; EvalClassificationError = 0.41513672 * 10240; time = 0.0502s; samplesPerSecond = 203813.5
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.36721191 * 10240; EvalClassificationError = 0.42636719 * 10240; time = 0.0501s; samplesPerSecond = 204309.7
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.37750244 * 10240; EvalClassificationError = 0.42617187 * 10240; time = 0.0503s; samplesPerSecond = 203428.9
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.34101563 * 10240; EvalClassificationError = 0.42070313 * 10240; time = 0.0503s; samplesPerSecond = 203594.7
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.36128540 * 10240; EvalClassificationError = 0.41513672 * 10240; time = 0.0504s; samplesPerSecond = 203319.8
08/17/2016 10:06:43:  Epoch[ 5 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.34988403 * 10240; EvalClassificationError = 0.41826172 * 10240; time = 0.0501s; samplesPerSecond = 204513.7
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.35913086 * 10240; EvalClassificationError = 0.42255859 * 10240; time = 0.0502s; samplesPerSecond = 203886.6
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.35456543 * 10240; EvalClassificationError = 0.42255859 * 10240; time = 0.0502s; samplesPerSecond = 204110.1
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.37182617 * 10240; EvalClassificationError = 0.42294922 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.35851440 * 10240; EvalClassificationError = 0.42324219 * 10240; time = 0.0496s; samplesPerSecond = 206514.1
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.36624756 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0496s; samplesPerSecond = 206385.0
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.36320190 * 10240; EvalClassificationError = 0.42509766 * 10240; time = 0.0496s; samplesPerSecond = 206301.9
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.36494751 * 10240; EvalClassificationError = 0.42490234 * 10240; time = 0.0499s; samplesPerSecond = 205185.7
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.35858154 * 10240; EvalClassificationError = 0.42675781 * 10240; time = 0.0496s; samplesPerSecond = 206526.6
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.33812866 * 10240; EvalClassificationError = 0.41992188 * 10240; time = 0.0498s; samplesPerSecond = 205688.6
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.33821411 * 10240; EvalClassificationError = 0.41718750 * 10240; time = 0.0497s; samplesPerSecond = 206144.1
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.37069702 * 10240; EvalClassificationError = 0.42578125 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.34808960 * 10240; EvalClassificationError = 0.41748047 * 10240; time = 0.0496s; samplesPerSecond = 206651.6
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.33764648 * 10240; EvalClassificationError = 0.41660156 * 10240; time = 0.0503s; samplesPerSecond = 203546.2
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.34720459 * 10240; EvalClassificationError = 0.41904297 * 10240; time = 0.0502s; samplesPerSecond = 203841.9
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.33874512 * 10240; EvalClassificationError = 0.41552734 * 10240; time = 0.0501s; samplesPerSecond = 204252.6
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.35412598 * 10240; EvalClassificationError = 0.42119141 * 10240; time = 0.0502s; samplesPerSecond = 204004.4
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.36112671 * 10240; EvalClassificationError = 0.42285156 * 10240; time = 0.0502s; samplesPerSecond = 203898.8
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.36458740 * 10240; EvalClassificationError = 0.42060547 * 10240; time = 0.0502s; samplesPerSecond = 204110.1
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.36942139 * 10240; EvalClassificationError = 0.43037109 * 10240; time = 0.0505s; samplesPerSecond = 202808.4
08/17/2016 10:06:44:  Epoch[ 5 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.35675049 * 10240; EvalClassificationError = 0.41386719 * 10240; time = 0.0503s; samplesPerSecond = 203380.4
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.37567139 * 10240; EvalClassificationError = 0.42919922 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.35989380 * 10240; EvalClassificationError = 0.41582031 * 10240; time = 0.0502s; samplesPerSecond = 204138.6
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.37581787 * 10240; EvalClassificationError = 0.42666016 * 10240; time = 0.0502s; samplesPerSecond = 204134.5
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.33723755 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0496s; samplesPerSecond = 206339.3
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.34508057 * 10240; EvalClassificationError = 0.41806641 * 10240; time = 0.0497s; samplesPerSecond = 205862.2
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.36702881 * 10240; EvalClassificationError = 0.42187500 * 10240; time = 0.0498s; samplesPerSecond = 205618.4
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.36667480 * 10240; EvalClassificationError = 0.42060547 * 10240; time = 0.0496s; samplesPerSecond = 206414.2
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.35534668 * 10240; EvalClassificationError = 0.42333984 * 10240; time = 0.0495s; samplesPerSecond = 206722.5
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.36252441 * 10240; EvalClassificationError = 0.42500000 * 10240; time = 0.0498s; samplesPerSecond = 205825.0
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.36603394 * 10240; EvalClassificationError = 0.42861328 * 10240; time = 0.0496s; samplesPerSecond = 206331.0
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.38221436 * 10240; EvalClassificationError = 0.42734375 * 10240; time = 0.0502s; samplesPerSecond = 204142.7
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.35166626 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0501s; samplesPerSecond = 204313.7
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.31782227 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0502s; samplesPerSecond = 203841.9
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.30416260 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0500s; samplesPerSecond = 204726.3
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.35915527 * 10240; EvalClassificationError = 0.41855469 * 10240; time = 0.0502s; samplesPerSecond = 203781.1
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.36478271 * 10240; EvalClassificationError = 0.42841797 * 10240; time = 0.0503s; samplesPerSecond = 203631.2
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.32736816 * 10240; EvalClassificationError = 0.41005859 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.35151367 * 10240; EvalClassificationError = 0.42382812 * 10240; time = 0.0502s; samplesPerSecond = 204167.1
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.33717041 * 10240; EvalClassificationError = 0.41718750 * 10240; time = 0.0504s; samplesPerSecond = 203348.1
08/17/2016 10:06:45:  Epoch[ 5 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.36014404 * 10240; EvalClassificationError = 0.42373047 * 10240; time = 0.0504s; samplesPerSecond = 203138.3
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.34600830 * 10240; EvalClassificationError = 0.42304687 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.35139160 * 10240; EvalClassificationError = 0.42109375 * 10240; time = 0.0501s; samplesPerSecond = 204215.9
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.36275635 * 10240; EvalClassificationError = 0.42197266 * 10240; time = 0.0502s; samplesPerSecond = 204171.2
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.35622559 * 10240; EvalClassificationError = 0.42626953 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.35358887 * 10240; EvalClassificationError = 0.41923828 * 10240; time = 0.0497s; samplesPerSecond = 206098.4
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.35466309 * 10240; EvalClassificationError = 0.42031250 * 10240; time = 0.0495s; samplesPerSecond = 206714.2
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.34829102 * 10240; EvalClassificationError = 0.41865234 * 10240; time = 0.0497s; samplesPerSecond = 206119.2
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.33566895 * 10240; EvalClassificationError = 0.42041016 * 10240; time = 0.0495s; samplesPerSecond = 206685.0
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.34069824 * 10240; EvalClassificationError = 0.41503906 * 10240; time = 0.0497s; samplesPerSecond = 206139.9
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.35130615 * 10240; EvalClassificationError = 0.42041016 * 10240; time = 0.0498s; samplesPerSecond = 205445.1
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.32602539 * 10240; EvalClassificationError = 0.41269531 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.31535645 * 10240; EvalClassificationError = 0.41171875 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.31878662 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0503s; samplesPerSecond = 203748.7
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.33789062 * 10240; EvalClassificationError = 0.42138672 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.34450684 * 10240; EvalClassificationError = 0.42119141 * 10240; time = 0.0501s; samplesPerSecond = 204240.4
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.31536865 * 10240; EvalClassificationError = 0.41074219 * 10240; time = 0.0503s; samplesPerSecond = 203582.6
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.33576660 * 10240; EvalClassificationError = 0.41708984 * 10240; time = 0.0504s; samplesPerSecond = 203311.8
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.31687012 * 10240; EvalClassificationError = 0.40771484 * 10240; time = 0.0505s; samplesPerSecond = 202768.3
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.34958496 * 10240; EvalClassificationError = 0.42568359 * 10240; time = 0.0502s; samplesPerSecond = 203821.7
08/17/2016 10:06:46:  Epoch[ 5 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.35847168 * 10240; EvalClassificationError = 0.42656250 * 10240; time = 0.0502s; samplesPerSecond = 203923.1
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.34775391 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0502s; samplesPerSecond = 204150.8
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.34313965 * 10240; EvalClassificationError = 0.40957031 * 10240; time = 0.0503s; samplesPerSecond = 203570.4
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.34006348 * 10240; EvalClassificationError = 0.42050781 * 10240; time = 0.0502s; samplesPerSecond = 204085.7
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.34218750 * 10240; EvalClassificationError = 0.41201172 * 10240; time = 0.0497s; samplesPerSecond = 206214.6
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.33210449 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0500s; samplesPerSecond = 204935.3
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.35166016 * 10240; EvalClassificationError = 0.42412109 * 10240; time = 0.0502s; samplesPerSecond = 204069.4
08/17/2016 10:06:47:  Epoch[ 5 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.34699707 * 10240; EvalClassificationError = 0.42421875 * 10240; time = 0.0502s; samplesPerSecond = 203858.2
08/17/2016 10:06:47: Finished Epoch[ 5 of 25]: [Training] CrossEntropyWithSoftmax = 1.35772839 * 1124823; EvalClassificationError = 0.42185837 * 1124823; totalSamplesSeen = 5624115; learningRatePerSample = 0.003125; epochTime=5.70238s
08/17/2016 10:06:47: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.5'

08/17/2016 10:06:47: 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

08/17/2016 10:06:47: Starting minibatch loop.
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.32016420 * 10240; EvalClassificationError = 0.41416016 * 10240; time = 0.0522s; samplesPerSecond = 196067.2
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.32858706 * 10240; EvalClassificationError = 0.41298828 * 10240; time = 0.0505s; samplesPerSecond = 202643.9
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.33911114 * 10240; EvalClassificationError = 0.41943359 * 10240; time = 0.0502s; samplesPerSecond = 204130.5
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.32078171 * 10240; EvalClassificationError = 0.40869141 * 10240; time = 0.0504s; samplesPerSecond = 203130.3
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.29483261 * 10240; EvalClassificationError = 0.40234375 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.29371948 * 10240; EvalClassificationError = 0.40517578 * 10240; time = 0.0503s; samplesPerSecond = 203428.9
08/17/2016 10:06:47:  Epoch[ 6 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.31877670 * 10240; EvalClassificationError = 0.41123047 * 10240; time = 0.0501s; samplesPerSecond = 204379.0
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.33370438 * 10240; EvalClassificationError = 0.41367188 * 10240; time = 0.0504s; samplesPerSecond = 203219.0
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.31933441 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0501s; samplesPerSecond = 204419.8
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.30916367 * 10240; EvalClassificationError = 0.41289063 * 10240; time = 0.0500s; samplesPerSecond = 204603.6
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.32587128 * 10240; EvalClassificationError = 0.41484375 * 10240; time = 0.0498s; samplesPerSecond = 205729.9
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.32110291 * 10240; EvalClassificationError = 0.41181641 * 10240; time = 0.0498s; samplesPerSecond = 205647.3
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.31300354 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0498s; samplesPerSecond = 205593.6
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.29327545 * 10240; EvalClassificationError = 0.40537109 * 10240; time = 0.0499s; samplesPerSecond = 205054.3
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.29545288 * 10240; EvalClassificationError = 0.41074219 * 10240; time = 0.0497s; samplesPerSecond = 206119.2
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.31327209 * 10240; EvalClassificationError = 0.41494141 * 10240; time = 0.0499s; samplesPerSecond = 205070.7
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.31387024 * 10240; EvalClassificationError = 0.40478516 * 10240; time = 0.0497s; samplesPerSecond = 206019.6
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.32461395 * 10240; EvalClassificationError = 0.41552734 * 10240; time = 0.0496s; samplesPerSecond = 206572.4
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.31070251 * 10240; EvalClassificationError = 0.41220703 * 10240; time = 0.0497s; samplesPerSecond = 206156.5
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.28757629 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0497s; samplesPerSecond = 206198.0
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.31915283 * 10240; EvalClassificationError = 0.41240234 * 10240; time = 0.0497s; samplesPerSecond = 205837.4
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.32291870 * 10240; EvalClassificationError = 0.41962891 * 10240; time = 0.0496s; samplesPerSecond = 206243.7
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.32131348 * 10240; EvalClassificationError = 0.41142578 * 10240; time = 0.0496s; samplesPerSecond = 206247.9
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.32781067 * 10240; EvalClassificationError = 0.41328125 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.29000549 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0501s; samplesPerSecond = 204305.6
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.28346863 * 10240; EvalClassificationError = 0.40449219 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:06:48:  Epoch[ 6 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.30232849 * 10240; EvalClassificationError = 0.41132812 * 10240; time = 0.0503s; samplesPerSecond = 203655.5
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.30729370 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0503s; samplesPerSecond = 203700.0
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.30408020 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0501s; samplesPerSecond = 204456.5
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.31204834 * 10240; EvalClassificationError = 0.40996094 * 10240; time = 0.0498s; samplesPerSecond = 205775.4
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.34234314 * 10240; EvalClassificationError = 0.41523437 * 10240; time = 0.0496s; samplesPerSecond = 206243.7
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.33334961 * 10240; EvalClassificationError = 0.41748047 * 10240; time = 0.0495s; samplesPerSecond = 206735.0
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.32135315 * 10240; EvalClassificationError = 0.41660156 * 10240; time = 0.0496s; samplesPerSecond = 206472.4
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.32523193 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0498s; samplesPerSecond = 205474.0
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.32550354 * 10240; EvalClassificationError = 0.41914062 * 10240; time = 0.0495s; samplesPerSecond = 206764.3
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.30385437 * 10240; EvalClassificationError = 0.40976563 * 10240; time = 0.0497s; samplesPerSecond = 205866.4
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.30279541 * 10240; EvalClassificationError = 0.40712891 * 10240; time = 0.0500s; samplesPerSecond = 204984.5
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.29810791 * 10240; EvalClassificationError = 0.40576172 * 10240; time = 0.0502s; samplesPerSecond = 203837.9
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.31831970 * 10240; EvalClassificationError = 0.41337891 * 10240; time = 0.0502s; samplesPerSecond = 203850.1
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.31908569 * 10240; EvalClassificationError = 0.41259766 * 10240; time = 0.0507s; samplesPerSecond = 202096.0
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.30609741 * 10240; EvalClassificationError = 0.40947266 * 10240; time = 0.0501s; samplesPerSecond = 204362.7
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.32721558 * 10240; EvalClassificationError = 0.40830078 * 10240; time = 0.0503s; samplesPerSecond = 203509.7
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.31328125 * 10240; EvalClassificationError = 0.40937500 * 10240; time = 0.0502s; samplesPerSecond = 204150.8
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.31612549 * 10240; EvalClassificationError = 0.41367188 * 10240; time = 0.0502s; samplesPerSecond = 204089.8
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.31106567 * 10240; EvalClassificationError = 0.41181641 * 10240; time = 0.0501s; samplesPerSecond = 204521.9
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.31505737 * 10240; EvalClassificationError = 0.41738281 * 10240; time = 0.0502s; samplesPerSecond = 204183.4
08/17/2016 10:06:49:  Epoch[ 6 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.29234009 * 10240; EvalClassificationError = 0.40371094 * 10240; time = 0.0503s; samplesPerSecond = 203594.7
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.27431030 * 10240; EvalClassificationError = 0.40283203 * 10240; time = 0.0504s; samplesPerSecond = 203303.7
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.29169922 * 10240; EvalClassificationError = 0.40244141 * 10240; time = 0.0500s; samplesPerSecond = 204714.0
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.30422363 * 10240; EvalClassificationError = 0.40410156 * 10240; time = 0.0500s; samplesPerSecond = 204935.3
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.29273682 * 10240; EvalClassificationError = 0.40498047 * 10240; time = 0.0496s; samplesPerSecond = 206435.0
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.33119507 * 10240; EvalClassificationError = 0.41054687 * 10240; time = 0.0497s; samplesPerSecond = 205990.6
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.30500488 * 10240; EvalClassificationError = 0.40361328 * 10240; time = 0.0496s; samplesPerSecond = 206318.5
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.33391113 * 10240; EvalClassificationError = 0.41191406 * 10240; time = 0.0496s; samplesPerSecond = 206268.6
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.29692993 * 10240; EvalClassificationError = 0.40693359 * 10240; time = 0.0497s; samplesPerSecond = 206090.1
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.31413574 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0496s; samplesPerSecond = 206626.6
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.29575806 * 10240; EvalClassificationError = 0.41054687 * 10240; time = 0.0495s; samplesPerSecond = 206843.6
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.28961792 * 10240; EvalClassificationError = 0.40341797 * 10240; time = 0.0497s; samplesPerSecond = 206090.1
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.29529419 * 10240; EvalClassificationError = 0.41171875 * 10240; time = 0.0497s; samplesPerSecond = 206110.9
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.29284058 * 10240; EvalClassificationError = 0.40712891 * 10240; time = 0.0497s; samplesPerSecond = 206081.8
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.30327759 * 10240; EvalClassificationError = 0.41044922 * 10240; time = 0.0493s; samplesPerSecond = 207518.5
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.28181152 * 10240; EvalClassificationError = 0.40078125 * 10240; time = 0.0496s; samplesPerSecond = 206443.3
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.30194092 * 10240; EvalClassificationError = 0.40654297 * 10240; time = 0.0499s; samplesPerSecond = 205202.2
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.30611572 * 10240; EvalClassificationError = 0.41035156 * 10240; time = 0.0505s; samplesPerSecond = 202965.2
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.31921387 * 10240; EvalClassificationError = 0.41093750 * 10240; time = 0.0503s; samplesPerSecond = 203720.3
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.29546509 * 10240; EvalClassificationError = 0.40615234 * 10240; time = 0.0504s; samplesPerSecond = 203049.7
08/17/2016 10:06:50:  Epoch[ 6 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.31123657 * 10240; EvalClassificationError = 0.40976563 * 10240; time = 0.0501s; samplesPerSecond = 204566.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.31762085 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0502s; samplesPerSecond = 203829.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.28862915 * 10240; EvalClassificationError = 0.40644531 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.31968994 * 10240; EvalClassificationError = 0.41181641 * 10240; time = 0.0499s; samplesPerSecond = 205157.0
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.29322510 * 10240; EvalClassificationError = 0.40361328 * 10240; time = 0.0497s; samplesPerSecond = 205854.0
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.28899536 * 10240; EvalClassificationError = 0.40224609 * 10240; time = 0.0499s; samplesPerSecond = 205329.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.29976196 * 10240; EvalClassificationError = 0.40927734 * 10240; time = 0.0497s; samplesPerSecond = 205949.2
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.30312500 * 10240; EvalClassificationError = 0.40654297 * 10240; time = 0.0497s; samplesPerSecond = 205837.4
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.30941772 * 10240; EvalClassificationError = 0.40820312 * 10240; time = 0.0495s; samplesPerSecond = 206710.0
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.28438721 * 10240; EvalClassificationError = 0.40156250 * 10240; time = 0.0497s; samplesPerSecond = 206023.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.30592651 * 10240; EvalClassificationError = 0.40322266 * 10240; time = 0.0496s; samplesPerSecond = 206376.7
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.31157227 * 10240; EvalClassificationError = 0.40957031 * 10240; time = 0.0497s; samplesPerSecond = 205986.5
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.30418701 * 10240; EvalClassificationError = 0.40927734 * 10240; time = 0.0496s; samplesPerSecond = 206281.1
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.27888184 * 10240; EvalClassificationError = 0.40478516 * 10240; time = 0.0496s; samplesPerSecond = 206268.6
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.31042480 * 10240; EvalClassificationError = 0.41191406 * 10240; time = 0.0496s; samplesPerSecond = 206526.6
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.26481934 * 10240; EvalClassificationError = 0.39912109 * 10240; time = 0.0501s; samplesPerSecond = 204264.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.30141602 * 10240; EvalClassificationError = 0.40937500 * 10240; time = 0.0503s; samplesPerSecond = 203485.5
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.31251221 * 10240; EvalClassificationError = 0.42011719 * 10240; time = 0.0504s; samplesPerSecond = 203045.7
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.29180908 * 10240; EvalClassificationError = 0.40146484 * 10240; time = 0.0504s; samplesPerSecond = 203372.3
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.28267822 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0504s; samplesPerSecond = 203061.8
08/17/2016 10:06:51:  Epoch[ 6 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.30290527 * 10240; EvalClassificationError = 0.41337891 * 10240; time = 0.0502s; samplesPerSecond = 204049.1
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.29564209 * 10240; EvalClassificationError = 0.41250000 * 10240; time = 0.0503s; samplesPerSecond = 203712.2
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.26568604 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0503s; samplesPerSecond = 203679.8
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.30946045 * 10240; EvalClassificationError = 0.41279297 * 10240; time = 0.0499s; samplesPerSecond = 205136.4
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.27730713 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0496s; samplesPerSecond = 206252.0
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.29451904 * 10240; EvalClassificationError = 0.40683594 * 10240; time = 0.0498s; samplesPerSecond = 205816.7
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.28585205 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0497s; samplesPerSecond = 206152.4
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.29039307 * 10240; EvalClassificationError = 0.40078125 * 10240; time = 0.0500s; samplesPerSecond = 204976.3
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.26641846 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0498s; samplesPerSecond = 205457.5
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.30295410 * 10240; EvalClassificationError = 0.40683594 * 10240; time = 0.0505s; samplesPerSecond = 202655.9
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.28912354 * 10240; EvalClassificationError = 0.40449219 * 10240; time = 0.0504s; samplesPerSecond = 203150.4
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.29880371 * 10240; EvalClassificationError = 0.40986328 * 10240; time = 0.0525s; samplesPerSecond = 195170.3
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.29315186 * 10240; EvalClassificationError = 0.40917969 * 10240; time = 0.0507s; samplesPerSecond = 202163.8
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.29147949 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0507s; samplesPerSecond = 201948.5
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.31348877 * 10240; EvalClassificationError = 0.40429688 * 10240; time = 0.0506s; samplesPerSecond = 202311.6
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.28470459 * 10240; EvalClassificationError = 0.40400391 * 10240; time = 0.0506s; samplesPerSecond = 202183.7
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.27712402 * 10240; EvalClassificationError = 0.40566406 * 10240; time = 0.0507s; samplesPerSecond = 202103.9
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.31030273 * 10240; EvalClassificationError = 0.41328125 * 10240; time = 0.0505s; samplesPerSecond = 202892.8
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.27652588 * 10240; EvalClassificationError = 0.40800781 * 10240; time = 0.0505s; samplesPerSecond = 202663.9
08/17/2016 10:06:52:  Epoch[ 6 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.30111084 * 10240; EvalClassificationError = 0.40058594 * 10240; time = 0.0503s; samplesPerSecond = 203505.7
08/17/2016 10:06:53:  Epoch[ 6 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.30029297 * 10240; EvalClassificationError = 0.40458984 * 10240; time = 0.0504s; samplesPerSecond = 203086.0
08/17/2016 10:06:53:  Epoch[ 6 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.29936523 * 10240; EvalClassificationError = 0.41542969 * 10240; time = 0.0505s; samplesPerSecond = 202651.9
08/17/2016 10:06:53:  Epoch[ 6 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.27758789 * 10240; EvalClassificationError = 0.39511719 * 10240; time = 0.0501s; samplesPerSecond = 204538.2
08/17/2016 10:06:53: Finished Epoch[ 6 of 25]: [Training] CrossEntropyWithSoftmax = 1.30408240 * 1124823; EvalClassificationError = 0.40864829 * 1124823; totalSamplesSeen = 6748938; learningRatePerSample = 0.003125; epochTime=5.70311s
08/17/2016 10:06:53: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.6'

08/17/2016 10:06:53: 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

08/17/2016 10:06:53: Starting minibatch loop.
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.23521481 * 10240; EvalClassificationError = 0.38525391 * 10240; time = 0.0523s; samplesPerSecond = 195816.0
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.24758358 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0504s; samplesPerSecond = 203223.0
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.25119362 * 10240; EvalClassificationError = 0.39902344 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.23293381 * 10240; EvalClassificationError = 0.38574219 * 10240; time = 0.0503s; samplesPerSecond = 203716.2
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.26390266 * 10240; EvalClassificationError = 0.39882812 * 10240; time = 0.0501s; samplesPerSecond = 204509.6
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.26314201 * 10240; EvalClassificationError = 0.39414063 * 10240; time = 0.0502s; samplesPerSecond = 203906.9
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.27441025 * 10240; EvalClassificationError = 0.40039062 * 10240; time = 0.0504s; samplesPerSecond = 203291.6
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.27039948 * 10240; EvalClassificationError = 0.40361328 * 10240; time = 0.0503s; samplesPerSecond = 203720.3
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.27115860 * 10240; EvalClassificationError = 0.40097656 * 10240; time = 0.0501s; samplesPerSecond = 204468.8
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.27916489 * 10240; EvalClassificationError = 0.40312500 * 10240; time = 0.0502s; samplesPerSecond = 204053.2
08/17/2016 10:06:53:  Epoch[ 7 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.26220093 * 10240; EvalClassificationError = 0.39404297 * 10240; time = 0.0502s; samplesPerSecond = 203829.8
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.24920349 * 10240; EvalClassificationError = 0.39433594 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.28525085 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0502s; samplesPerSecond = 203866.3
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.27058716 * 10240; EvalClassificationError = 0.39726563 * 10240; time = 0.0501s; samplesPerSecond = 204579.1
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.26711884 * 10240; EvalClassificationError = 0.39667969 * 10240; time = 0.0496s; samplesPerSecond = 206318.5
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.25741577 * 10240; EvalClassificationError = 0.39560547 * 10240; time = 0.0497s; samplesPerSecond = 205969.9
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.27091980 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0496s; samplesPerSecond = 206526.6
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.24601593 * 10240; EvalClassificationError = 0.39199219 * 10240; time = 0.0498s; samplesPerSecond = 205713.4
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.27750854 * 10240; EvalClassificationError = 0.40302734 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.26142731 * 10240; EvalClassificationError = 0.39931641 * 10240; time = 0.0504s; samplesPerSecond = 203219.0
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.27261963 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0503s; samplesPerSecond = 203396.6
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.26342468 * 10240; EvalClassificationError = 0.39902344 * 10240; time = 0.0502s; samplesPerSecond = 203984.1
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.28624573 * 10240; EvalClassificationError = 0.40068359 * 10240; time = 0.0502s; samplesPerSecond = 203951.6
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.27030029 * 10240; EvalClassificationError = 0.40322266 * 10240; time = 0.0502s; samplesPerSecond = 204175.2
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.26489258 * 10240; EvalClassificationError = 0.39023438 * 10240; time = 0.0504s; samplesPerSecond = 203360.2
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.25322876 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0505s; samplesPerSecond = 202848.6
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.26453552 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0502s; samplesPerSecond = 203882.5
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.26626587 * 10240; EvalClassificationError = 0.40341797 * 10240; time = 0.0505s; samplesPerSecond = 202776.3
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.26587524 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0502s; samplesPerSecond = 203858.2
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.27503662 * 10240; EvalClassificationError = 0.40097656 * 10240; time = 0.0503s; samplesPerSecond = 203428.9
08/17/2016 10:06:54:  Epoch[ 7 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.25083008 * 10240; EvalClassificationError = 0.39580078 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.25018921 * 10240; EvalClassificationError = 0.39833984 * 10240; time = 0.0504s; samplesPerSecond = 203001.4
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.26620483 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0504s; samplesPerSecond = 203150.4
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.25173645 * 10240; EvalClassificationError = 0.39355469 * 10240; time = 0.0502s; samplesPerSecond = 203935.3
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.26549683 * 10240; EvalClassificationError = 0.39677734 * 10240; time = 0.0496s; samplesPerSecond = 206264.5
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.25417786 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0496s; samplesPerSecond = 206459.9
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.25736084 * 10240; EvalClassificationError = 0.39970703 * 10240; time = 0.0495s; samplesPerSecond = 206764.3
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.26674500 * 10240; EvalClassificationError = 0.40400391 * 10240; time = 0.0498s; samplesPerSecond = 205729.9
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.26166687 * 10240; EvalClassificationError = 0.40039062 * 10240; time = 0.0495s; samplesPerSecond = 206697.5
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.26719971 * 10240; EvalClassificationError = 0.40117188 * 10240; time = 0.0498s; samplesPerSecond = 205696.8
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.25335083 * 10240; EvalClassificationError = 0.39062500 * 10240; time = 0.0499s; samplesPerSecond = 205309.2
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.27050171 * 10240; EvalClassificationError = 0.39648438 * 10240; time = 0.0503s; samplesPerSecond = 203428.9
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.25586548 * 10240; EvalClassificationError = 0.39082031 * 10240; time = 0.0501s; samplesPerSecond = 204354.5
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.25444946 * 10240; EvalClassificationError = 0.39326172 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.25827026 * 10240; EvalClassificationError = 0.39599609 * 10240; time = 0.0502s; samplesPerSecond = 203821.7
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.24888916 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0504s; samplesPerSecond = 203319.8
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.25407715 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0501s; samplesPerSecond = 204289.3
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.25825195 * 10240; EvalClassificationError = 0.39384766 * 10240; time = 0.0503s; samplesPerSecond = 203671.7
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.27064819 * 10240; EvalClassificationError = 0.40175781 * 10240; time = 0.0501s; samplesPerSecond = 204407.5
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.25521851 * 10240; EvalClassificationError = 0.39843750 * 10240; time = 0.0503s; samplesPerSecond = 203631.2
08/17/2016 10:06:55:  Epoch[ 7 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.24353638 * 10240; EvalClassificationError = 0.39697266 * 10240; time = 0.0502s; samplesPerSecond = 204024.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.25479126 * 10240; EvalClassificationError = 0.39365234 * 10240; time = 0.0503s; samplesPerSecond = 203428.9
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.25823975 * 10240; EvalClassificationError = 0.39980469 * 10240; time = 0.0503s; samplesPerSecond = 203606.9
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.24179077 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0500s; samplesPerSecond = 204779.5
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.23535156 * 10240; EvalClassificationError = 0.38925781 * 10240; time = 0.0496s; samplesPerSecond = 206630.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.26060181 * 10240; EvalClassificationError = 0.39716797 * 10240; time = 0.0496s; samplesPerSecond = 206468.3
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.25888672 * 10240; EvalClassificationError = 0.39882812 * 10240; time = 0.0496s; samplesPerSecond = 206576.6
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.28789673 * 10240; EvalClassificationError = 0.40214844 * 10240; time = 0.0497s; samplesPerSecond = 206015.5
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.24714355 * 10240; EvalClassificationError = 0.39335938 * 10240; time = 0.0498s; samplesPerSecond = 205692.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.22604980 * 10240; EvalClassificationError = 0.38964844 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.28448486 * 10240; EvalClassificationError = 0.40439453 * 10240; time = 0.0501s; samplesPerSecond = 204493.3
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.24533691 * 10240; EvalClassificationError = 0.38789062 * 10240; time = 0.0503s; samplesPerSecond = 203635.2
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.24055176 * 10240; EvalClassificationError = 0.39931641 * 10240; time = 0.0504s; samplesPerSecond = 203190.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.28307495 * 10240; EvalClassificationError = 0.40283203 * 10240; time = 0.0501s; samplesPerSecond = 204460.6
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.26867065 * 10240; EvalClassificationError = 0.39638672 * 10240; time = 0.0502s; samplesPerSecond = 204118.2
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.23234253 * 10240; EvalClassificationError = 0.39033203 * 10240; time = 0.0503s; samplesPerSecond = 203424.8
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.24729614 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0501s; samplesPerSecond = 204203.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.25764771 * 10240; EvalClassificationError = 0.39355469 * 10240; time = 0.0501s; samplesPerSecond = 204256.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.23121338 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0502s; samplesPerSecond = 203894.7
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.28394775 * 10240; EvalClassificationError = 0.40283203 * 10240; time = 0.0505s; samplesPerSecond = 202607.8
08/17/2016 10:06:56:  Epoch[ 7 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.26906128 * 10240; EvalClassificationError = 0.40126953 * 10240; time = 0.0500s; samplesPerSecond = 204828.7
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.26851807 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0502s; samplesPerSecond = 204073.5
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.29039307 * 10240; EvalClassificationError = 0.40195313 * 10240; time = 0.0501s; samplesPerSecond = 204476.9
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.27913208 * 10240; EvalClassificationError = 0.40292969 * 10240; time = 0.0502s; samplesPerSecond = 204150.8
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.25645142 * 10240; EvalClassificationError = 0.40029297 * 10240; time = 0.0496s; samplesPerSecond = 206589.1
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.26345825 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0497s; samplesPerSecond = 205870.5
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.26244507 * 10240; EvalClassificationError = 0.40175781 * 10240; time = 0.0496s; samplesPerSecond = 206593.2
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.27954712 * 10240; EvalClassificationError = 0.40400391 * 10240; time = 0.0496s; samplesPerSecond = 206364.2
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.24749756 * 10240; EvalClassificationError = 0.39375000 * 10240; time = 0.0495s; samplesPerSecond = 207019.2
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.25257568 * 10240; EvalClassificationError = 0.39511719 * 10240; time = 0.0496s; samplesPerSecond = 206272.8
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.24799805 * 10240; EvalClassificationError = 0.39433594 * 10240; time = 0.0499s; samplesPerSecond = 205103.6
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.24951172 * 10240; EvalClassificationError = 0.39736328 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.25294189 * 10240; EvalClassificationError = 0.39199219 * 10240; time = 0.0503s; samplesPerSecond = 203534.0
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.23358154 * 10240; EvalClassificationError = 0.39130859 * 10240; time = 0.0501s; samplesPerSecond = 204277.1
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.24606934 * 10240; EvalClassificationError = 0.39228516 * 10240; time = 0.0502s; samplesPerSecond = 204028.8
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.25344238 * 10240; EvalClassificationError = 0.40000000 * 10240; time = 0.0503s; samplesPerSecond = 203647.4
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.24805908 * 10240; EvalClassificationError = 0.39414063 * 10240; time = 0.0502s; samplesPerSecond = 204077.6
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.25502930 * 10240; EvalClassificationError = 0.39951172 * 10240; time = 0.0503s; samplesPerSecond = 203708.1
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.23881836 * 10240; EvalClassificationError = 0.38886719 * 10240; time = 0.0503s; samplesPerSecond = 203586.6
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.29508057 * 10240; EvalClassificationError = 0.41044922 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:06:57:  Epoch[ 7 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.23480225 * 10240; EvalClassificationError = 0.39218750 * 10240; time = 0.0503s; samplesPerSecond = 203756.8
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.24981689 * 10240; EvalClassificationError = 0.39648438 * 10240; time = 0.0503s; samplesPerSecond = 203615.0
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.24893799 * 10240; EvalClassificationError = 0.39296875 * 10240; time = 0.0500s; samplesPerSecond = 204763.1
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.28870850 * 10240; EvalClassificationError = 0.40839844 * 10240; time = 0.0501s; samplesPerSecond = 204297.4
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.25734863 * 10240; EvalClassificationError = 0.39814453 * 10240; time = 0.0499s; samplesPerSecond = 205395.6
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.26892090 * 10240; EvalClassificationError = 0.39414063 * 10240; time = 0.0503s; samplesPerSecond = 203441.0
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.25216064 * 10240; EvalClassificationError = 0.39785156 * 10240; time = 0.0504s; samplesPerSecond = 203041.7
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.27181396 * 10240; EvalClassificationError = 0.40009766 * 10240; time = 0.0502s; samplesPerSecond = 203882.5
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.27269287 * 10240; EvalClassificationError = 0.39677734 * 10240; time = 0.0501s; samplesPerSecond = 204362.7
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.27235107 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.25463867 * 10240; EvalClassificationError = 0.39873047 * 10240; time = 0.0504s; samplesPerSecond = 203344.1
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.26566162 * 10240; EvalClassificationError = 0.40664062 * 10240; time = 0.0502s; samplesPerSecond = 204110.1
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.21665039 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0502s; samplesPerSecond = 204016.6
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.25627441 * 10240; EvalClassificationError = 0.39394531 * 10240; time = 0.0503s; samplesPerSecond = 203376.4
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.25078125 * 10240; EvalClassificationError = 0.39746094 * 10240; time = 0.0501s; samplesPerSecond = 204366.7
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.27509766 * 10240; EvalClassificationError = 0.39853516 * 10240; time = 0.0502s; samplesPerSecond = 204110.1
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.23734131 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0501s; samplesPerSecond = 204326.0
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.27211914 * 10240; EvalClassificationError = 0.40302734 * 10240; time = 0.0496s; samplesPerSecond = 206555.7
08/17/2016 10:06:58:  Epoch[ 7 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.23193359 * 10240; EvalClassificationError = 0.39052734 * 10240; time = 0.0498s; samplesPerSecond = 205622.5
08/17/2016 10:06:58: Finished Epoch[ 7 of 25]: [Training] CrossEntropyWithSoftmax = 1.25913855 * 1124823; EvalClassificationError = 0.39672909 * 1124823; totalSamplesSeen = 7873761; learningRatePerSample = 0.003125; epochTime=5.7051s
08/17/2016 10:06:58: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.7'

08/17/2016 10:06:59: 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

08/17/2016 10:06:59: Starting minibatch loop.
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.20586424 * 10240; EvalClassificationError = 0.38193359 * 10240; time = 0.0517s; samplesPerSecond = 198153.9
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.21404963 * 10240; EvalClassificationError = 0.38779297 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.22098618 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0497s; samplesPerSecond = 206019.6
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.20149155 * 10240; EvalClassificationError = 0.38476562 * 10240; time = 0.0495s; samplesPerSecond = 206710.0
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.19533768 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0496s; samplesPerSecond = 206401.7
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.22034798 * 10240; EvalClassificationError = 0.39189453 * 10240; time = 0.0497s; samplesPerSecond = 206239.6
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.23051758 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0497s; samplesPerSecond = 205940.9
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.21914444 * 10240; EvalClassificationError = 0.38867188 * 10240; time = 0.0499s; samplesPerSecond = 205292.7
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.22151489 * 10240; EvalClassificationError = 0.38662109 * 10240; time = 0.0503s; samplesPerSecond = 203453.1
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.21638870 * 10240; EvalClassificationError = 0.38691406 * 10240; time = 0.0500s; samplesPerSecond = 204615.8
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.22509232 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.20678406 * 10240; EvalClassificationError = 0.38125000 * 10240; time = 0.0502s; samplesPerSecond = 204179.3
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.25397644 * 10240; EvalClassificationError = 0.39345703 * 10240; time = 0.0503s; samplesPerSecond = 203578.5
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.21129456 * 10240; EvalClassificationError = 0.38378906 * 10240; time = 0.0502s; samplesPerSecond = 204118.2
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.23371429 * 10240; EvalClassificationError = 0.39072266 * 10240; time = 0.0504s; samplesPerSecond = 203081.9
08/17/2016 10:06:59:  Epoch[ 8 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.20208740 * 10240; EvalClassificationError = 0.38222656 * 10240; time = 0.0504s; samplesPerSecond = 203239.1
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.23152161 * 10240; EvalClassificationError = 0.39375000 * 10240; time = 0.0503s; samplesPerSecond = 203392.5
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.20874939 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0503s; samplesPerSecond = 203712.2
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.24143219 * 10240; EvalClassificationError = 0.38925781 * 10240; time = 0.0499s; samplesPerSecond = 205370.9
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.21611328 * 10240; EvalClassificationError = 0.38955078 * 10240; time = 0.0498s; samplesPerSecond = 205767.1
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.23892365 * 10240; EvalClassificationError = 0.39394531 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.24146423 * 10240; EvalClassificationError = 0.39267578 * 10240; time = 0.0496s; samplesPerSecond = 206555.7
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.23057861 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0502s; samplesPerSecond = 203797.3
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.23171692 * 10240; EvalClassificationError = 0.39804688 * 10240; time = 0.0502s; samplesPerSecond = 203781.1
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.20462952 * 10240; EvalClassificationError = 0.38583984 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.23637085 * 10240; EvalClassificationError = 0.39218750 * 10240; time = 0.0502s; samplesPerSecond = 204028.8
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.22816772 * 10240; EvalClassificationError = 0.39130859 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.21813049 * 10240; EvalClassificationError = 0.37919922 * 10240; time = 0.0504s; samplesPerSecond = 203154.4
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.23733826 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0502s; samplesPerSecond = 204032.8
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.20740967 * 10240; EvalClassificationError = 0.38701172 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.23563538 * 10240; EvalClassificationError = 0.38691406 * 10240; time = 0.0504s; samplesPerSecond = 203053.7
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.22614746 * 10240; EvalClassificationError = 0.39160156 * 10240; time = 0.0503s; samplesPerSecond = 203619.0
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.22590637 * 10240; EvalClassificationError = 0.38486328 * 10240; time = 0.0503s; samplesPerSecond = 203736.5
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.22349854 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0504s; samplesPerSecond = 203271.4
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.20779419 * 10240; EvalClassificationError = 0.38134766 * 10240; time = 0.0503s; samplesPerSecond = 203635.2
08/17/2016 10:07:00:  Epoch[ 8 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.23580933 * 10240; EvalClassificationError = 0.39189453 * 10240; time = 0.0502s; samplesPerSecond = 203923.1
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.22293396 * 10240; EvalClassificationError = 0.38398437 * 10240; time = 0.0502s; samplesPerSecond = 204118.2
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.22753906 * 10240; EvalClassificationError = 0.39335938 * 10240; time = 0.0501s; samplesPerSecond = 204468.8
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.22358398 * 10240; EvalClassificationError = 0.38564453 * 10240; time = 0.0500s; samplesPerSecond = 204902.5
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.22240906 * 10240; EvalClassificationError = 0.38574219 * 10240; time = 0.0496s; samplesPerSecond = 206639.1
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.23687439 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.23006592 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0496s; samplesPerSecond = 206505.7
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.23461304 * 10240; EvalClassificationError = 0.38916016 * 10240; time = 0.0500s; samplesPerSecond = 204677.2
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.20761108 * 10240; EvalClassificationError = 0.38212891 * 10240; time = 0.0501s; samplesPerSecond = 204228.2
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.24221802 * 10240; EvalClassificationError = 0.39472656 * 10240; time = 0.0504s; samplesPerSecond = 203299.6
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.20451660 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0506s; samplesPerSecond = 202539.7
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.21772461 * 10240; EvalClassificationError = 0.38291016 * 10240; time = 0.0504s; samplesPerSecond = 203372.3
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.24702148 * 10240; EvalClassificationError = 0.39736328 * 10240; time = 0.0501s; samplesPerSecond = 204383.1
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.21080933 * 10240; EvalClassificationError = 0.39072266 * 10240; time = 0.0502s; samplesPerSecond = 204167.1
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.22951660 * 10240; EvalClassificationError = 0.39218750 * 10240; time = 0.0501s; samplesPerSecond = 204281.1
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.24316406 * 10240; EvalClassificationError = 0.39521484 * 10240; time = 0.0504s; samplesPerSecond = 203360.2
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.22893066 * 10240; EvalClassificationError = 0.38896484 * 10240; time = 0.0504s; samplesPerSecond = 203194.8
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.26077271 * 10240; EvalClassificationError = 0.39482422 * 10240; time = 0.0503s; samplesPerSecond = 203380.4
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.23245239 * 10240; EvalClassificationError = 0.38710937 * 10240; time = 0.0503s; samplesPerSecond = 203728.4
08/17/2016 10:07:01:  Epoch[ 8 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.19486084 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0502s; samplesPerSecond = 204045.0
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.25098267 * 10240; EvalClassificationError = 0.39589844 * 10240; time = 0.0500s; samplesPerSecond = 204984.5
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.24112549 * 10240; EvalClassificationError = 0.39013672 * 10240; time = 0.0498s; samplesPerSecond = 205676.2
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.22171021 * 10240; EvalClassificationError = 0.39150391 * 10240; time = 0.0496s; samplesPerSecond = 206285.3
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.21805420 * 10240; EvalClassificationError = 0.39179687 * 10240; time = 0.0497s; samplesPerSecond = 205903.6
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.23265991 * 10240; EvalClassificationError = 0.39169922 * 10240; time = 0.0497s; samplesPerSecond = 206098.4
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.22928467 * 10240; EvalClassificationError = 0.39160156 * 10240; time = 0.0500s; samplesPerSecond = 204697.7
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.20197754 * 10240; EvalClassificationError = 0.38066406 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.22017822 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0502s; samplesPerSecond = 203935.3
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.21285400 * 10240; EvalClassificationError = 0.38828125 * 10240; time = 0.0502s; samplesPerSecond = 204122.3
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.23880615 * 10240; EvalClassificationError = 0.38789062 * 10240; time = 0.0504s; samplesPerSecond = 203053.7
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.23144531 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0502s; samplesPerSecond = 203943.4
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.23484497 * 10240; EvalClassificationError = 0.38935547 * 10240; time = 0.0503s; samplesPerSecond = 203683.8
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.23081055 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0501s; samplesPerSecond = 204489.2
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.21207886 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0502s; samplesPerSecond = 203785.1
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.23298950 * 10240; EvalClassificationError = 0.39453125 * 10240; time = 0.0503s; samplesPerSecond = 203445.1
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.21531372 * 10240; EvalClassificationError = 0.38808594 * 10240; time = 0.0505s; samplesPerSecond = 202752.2
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.22949219 * 10240; EvalClassificationError = 0.39121094 * 10240; time = 0.0502s; samplesPerSecond = 203858.2
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.21959229 * 10240; EvalClassificationError = 0.38369141 * 10240; time = 0.0506s; samplesPerSecond = 202555.7
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.21810303 * 10240; EvalClassificationError = 0.39208984 * 10240; time = 0.0502s; samplesPerSecond = 204130.5
08/17/2016 10:07:02:  Epoch[ 8 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.20846558 * 10240; EvalClassificationError = 0.39013672 * 10240; time = 0.0502s; samplesPerSecond = 203817.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.20931396 * 10240; EvalClassificationError = 0.38593750 * 10240; time = 0.0501s; samplesPerSecond = 204313.7
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.24033203 * 10240; EvalClassificationError = 0.39169922 * 10240; time = 0.0503s; samplesPerSecond = 203586.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.20841064 * 10240; EvalClassificationError = 0.38330078 * 10240; time = 0.0501s; samplesPerSecond = 204481.0
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.18800049 * 10240; EvalClassificationError = 0.37929687 * 10240; time = 0.0498s; samplesPerSecond = 205432.7
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.22444458 * 10240; EvalClassificationError = 0.38642578 * 10240; time = 0.0496s; samplesPerSecond = 206289.4
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.23156738 * 10240; EvalClassificationError = 0.38896484 * 10240; time = 0.0498s; samplesPerSecond = 205614.2
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.23823242 * 10240; EvalClassificationError = 0.39208984 * 10240; time = 0.0497s; samplesPerSecond = 206239.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.18928833 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0498s; samplesPerSecond = 205622.5
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.20247803 * 10240; EvalClassificationError = 0.38359375 * 10240; time = 0.0496s; samplesPerSecond = 206489.1
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.22062988 * 10240; EvalClassificationError = 0.38271484 * 10240; time = 0.0498s; samplesPerSecond = 205684.4
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.22330322 * 10240; EvalClassificationError = 0.38427734 * 10240; time = 0.0496s; samplesPerSecond = 206551.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.22906494 * 10240; EvalClassificationError = 0.38916016 * 10240; time = 0.0498s; samplesPerSecond = 205560.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.21528320 * 10240; EvalClassificationError = 0.37792969 * 10240; time = 0.0496s; samplesPerSecond = 206447.5
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.20343018 * 10240; EvalClassificationError = 0.38085938 * 10240; time = 0.0496s; samplesPerSecond = 206480.8
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.20792236 * 10240; EvalClassificationError = 0.38457031 * 10240; time = 0.0495s; samplesPerSecond = 206935.6
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.21726074 * 10240; EvalClassificationError = 0.38544922 * 10240; time = 0.0499s; samplesPerSecond = 205115.9
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.21180420 * 10240; EvalClassificationError = 0.38222656 * 10240; time = 0.0499s; samplesPerSecond = 205342.1
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.21563721 * 10240; EvalClassificationError = 0.38496094 * 10240; time = 0.0502s; samplesPerSecond = 203971.9
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.20891113 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0501s; samplesPerSecond = 204583.1
08/17/2016 10:07:03:  Epoch[ 8 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.24050293 * 10240; EvalClassificationError = 0.39140625 * 10240; time = 0.0502s; samplesPerSecond = 203898.8
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.18885498 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0502s; samplesPerSecond = 204085.7
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.22700195 * 10240; EvalClassificationError = 0.38759766 * 10240; time = 0.0504s; samplesPerSecond = 203376.4
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.24118652 * 10240; EvalClassificationError = 0.38642578 * 10240; time = 0.0502s; samplesPerSecond = 204089.8
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.21700439 * 10240; EvalClassificationError = 0.38535156 * 10240; time = 0.0498s; samplesPerSecond = 205676.2
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.20510254 * 10240; EvalClassificationError = 0.38291016 * 10240; time = 0.0496s; samplesPerSecond = 206360.1
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.22460938 * 10240; EvalClassificationError = 0.38769531 * 10240; time = 0.0498s; samplesPerSecond = 205721.6
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.20622559 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0495s; samplesPerSecond = 206814.4
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.21979980 * 10240; EvalClassificationError = 0.39658203 * 10240; time = 0.0500s; samplesPerSecond = 204955.8
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.20131836 * 10240; EvalClassificationError = 0.38017578 * 10240; time = 0.0504s; samplesPerSecond = 203299.6
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.19165039 * 10240; EvalClassificationError = 0.38203125 * 10240; time = 0.0504s; samplesPerSecond = 203364.2
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.21188965 * 10240; EvalClassificationError = 0.38466797 * 10240; time = 0.0504s; samplesPerSecond = 203073.9
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.22344971 * 10240; EvalClassificationError = 0.39326172 * 10240; time = 0.0502s; samplesPerSecond = 204073.5
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.20931396 * 10240; EvalClassificationError = 0.38564453 * 10240; time = 0.0502s; samplesPerSecond = 203801.4
08/17/2016 10:07:04:  Epoch[ 8 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.21271973 * 10240; EvalClassificationError = 0.38242188 * 10240; time = 0.0506s; samplesPerSecond = 202423.5
08/17/2016 10:07:04: Finished Epoch[ 8 of 25]: [Training] CrossEntropyWithSoftmax = 1.22148763 * 1124823; EvalClassificationError = 0.38733739 * 1124823; totalSamplesSeen = 8998584; learningRatePerSample = 0.003125; epochTime=5.69957s
08/17/2016 10:07:04: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.8'

08/17/2016 10:07:04: 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

08/17/2016 10:07:04: Starting minibatch loop.
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.16529951 * 10240; EvalClassificationError = 0.36787109 * 10240; time = 0.0522s; samplesPerSecond = 196101.0
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.18260908 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0502s; samplesPerSecond = 204045.0
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.16383343 * 10240; EvalClassificationError = 0.37822266 * 10240; time = 0.0500s; samplesPerSecond = 204632.2
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.18737221 * 10240; EvalClassificationError = 0.37949219 * 10240; time = 0.0497s; samplesPerSecond = 206185.6
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.15640793 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0495s; samplesPerSecond = 206730.9
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.20481873 * 10240; EvalClassificationError = 0.37656250 * 10240; time = 0.0497s; samplesPerSecond = 205961.6
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.19746552 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0496s; samplesPerSecond = 206243.7
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.20554199 * 10240; EvalClassificationError = 0.38740234 * 10240; time = 0.0497s; samplesPerSecond = 205849.8
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.17656631 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0503s; samplesPerSecond = 203643.3
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.19903412 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0503s; samplesPerSecond = 203635.2
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.18934402 * 10240; EvalClassificationError = 0.37363281 * 10240; time = 0.0502s; samplesPerSecond = 203785.1
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.18177795 * 10240; EvalClassificationError = 0.37226562 * 10240; time = 0.0503s; samplesPerSecond = 203505.7
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.16705017 * 10240; EvalClassificationError = 0.37294922 * 10240; time = 0.0503s; samplesPerSecond = 203449.1
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.18506470 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0503s; samplesPerSecond = 203493.6
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.19413452 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0506s; samplesPerSecond = 202455.6
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.19813232 * 10240; EvalClassificationError = 0.38046875 * 10240; time = 0.0503s; samplesPerSecond = 203594.7
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.19954529 * 10240; EvalClassificationError = 0.38417969 * 10240; time = 0.0502s; samplesPerSecond = 203870.4
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.20978546 * 10240; EvalClassificationError = 0.39033203 * 10240; time = 0.0503s; samplesPerSecond = 203437.0
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.18893585 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0501s; samplesPerSecond = 204444.3
08/17/2016 10:07:05:  Epoch[ 9 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.16879578 * 10240; EvalClassificationError = 0.37148437 * 10240; time = 0.0503s; samplesPerSecond = 203781.1
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.18285217 * 10240; EvalClassificationError = 0.37666016 * 10240; time = 0.0500s; samplesPerSecond = 204611.8
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.19725647 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0501s; samplesPerSecond = 204379.0
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.16716309 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0500s; samplesPerSecond = 204869.7
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.17665405 * 10240; EvalClassificationError = 0.37412109 * 10240; time = 0.0498s; samplesPerSecond = 205680.3
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.18485718 * 10240; EvalClassificationError = 0.38339844 * 10240; time = 0.0497s; samplesPerSecond = 206198.0
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.19432373 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0498s; samplesPerSecond = 205577.1
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.16883240 * 10240; EvalClassificationError = 0.37626953 * 10240; time = 0.0498s; samplesPerSecond = 205515.2
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.18942871 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0497s; samplesPerSecond = 205986.5
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.19776306 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0496s; samplesPerSecond = 206651.6
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.20095520 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0497s; samplesPerSecond = 206127.5
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.19738464 * 10240; EvalClassificationError = 0.38281250 * 10240; time = 0.0495s; samplesPerSecond = 206701.7
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.21705322 * 10240; EvalClassificationError = 0.38769531 * 10240; time = 0.0495s; samplesPerSecond = 206668.3
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.18590393 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0494s; samplesPerSecond = 207178.4
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.18324280 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0497s; samplesPerSecond = 206181.4
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.19591370 * 10240; EvalClassificationError = 0.38662109 * 10240; time = 0.0502s; samplesPerSecond = 204175.2
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.19604492 * 10240; EvalClassificationError = 0.38095703 * 10240; time = 0.0503s; samplesPerSecond = 203623.1
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.19666138 * 10240; EvalClassificationError = 0.38027344 * 10240; time = 0.0504s; samplesPerSecond = 203154.4
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.17419739 * 10240; EvalClassificationError = 0.37978516 * 10240; time = 0.0505s; samplesPerSecond = 202860.7
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.18618774 * 10240; EvalClassificationError = 0.37587891 * 10240; time = 0.0502s; samplesPerSecond = 204114.2
08/17/2016 10:07:06:  Epoch[ 9 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.18243103 * 10240; EvalClassificationError = 0.37802734 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.18658752 * 10240; EvalClassificationError = 0.37500000 * 10240; time = 0.0501s; samplesPerSecond = 204199.7
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.21547852 * 10240; EvalClassificationError = 0.38457031 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.17494202 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0501s; samplesPerSecond = 204240.4
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.18946838 * 10240; EvalClassificationError = 0.37851563 * 10240; time = 0.0498s; samplesPerSecond = 205597.7
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.18145752 * 10240; EvalClassificationError = 0.37460938 * 10240; time = 0.0495s; samplesPerSecond = 206981.6
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.17110596 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0499s; samplesPerSecond = 205333.9
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.20552979 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0497s; samplesPerSecond = 206181.4
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.20358887 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.21502075 * 10240; EvalClassificationError = 0.38447266 * 10240; time = 0.0498s; samplesPerSecond = 205474.0
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.19462280 * 10240; EvalClassificationError = 0.38417969 * 10240; time = 0.0503s; samplesPerSecond = 203558.3
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.16977539 * 10240; EvalClassificationError = 0.37246094 * 10240; time = 0.0502s; samplesPerSecond = 204130.5
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.20538330 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.19609985 * 10240; EvalClassificationError = 0.38125000 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.19224243 * 10240; EvalClassificationError = 0.37753906 * 10240; time = 0.0503s; samplesPerSecond = 203602.8
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.18242187 * 10240; EvalClassificationError = 0.37714844 * 10240; time = 0.0502s; samplesPerSecond = 203862.2
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.20706177 * 10240; EvalClassificationError = 0.38818359 * 10240; time = 0.0502s; samplesPerSecond = 203910.9
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.17670288 * 10240; EvalClassificationError = 0.37587891 * 10240; time = 0.0508s; samplesPerSecond = 201654.2
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.18811035 * 10240; EvalClassificationError = 0.37705078 * 10240; time = 0.0503s; samplesPerSecond = 203675.7
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.17804565 * 10240; EvalClassificationError = 0.37441406 * 10240; time = 0.0503s; samplesPerSecond = 203554.2
08/17/2016 10:07:07:  Epoch[ 9 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.20617676 * 10240; EvalClassificationError = 0.38310547 * 10240; time = 0.0506s; samplesPerSecond = 202315.6
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.19247437 * 10240; EvalClassificationError = 0.38300781 * 10240; time = 0.0504s; samplesPerSecond = 203206.9
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.23511963 * 10240; EvalClassificationError = 0.38652344 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.20949097 * 10240; EvalClassificationError = 0.38789062 * 10240; time = 0.0501s; samplesPerSecond = 204330.0
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.19895630 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0499s; samplesPerSecond = 205231.0
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.20021973 * 10240; EvalClassificationError = 0.37978516 * 10240; time = 0.0498s; samplesPerSecond = 205688.6
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.19686890 * 10240; EvalClassificationError = 0.38066406 * 10240; time = 0.0503s; samplesPerSecond = 203538.1
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.18971558 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0503s; samplesPerSecond = 203655.5
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.17381592 * 10240; EvalClassificationError = 0.37480469 * 10240; time = 0.0497s; samplesPerSecond = 206052.8
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.21223755 * 10240; EvalClassificationError = 0.38193359 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.18028564 * 10240; EvalClassificationError = 0.37705078 * 10240; time = 0.0500s; samplesPerSecond = 204996.8
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.17227783 * 10240; EvalClassificationError = 0.37480469 * 10240; time = 0.0498s; samplesPerSecond = 205750.6
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.15892334 * 10240; EvalClassificationError = 0.36982422 * 10240; time = 0.0497s; samplesPerSecond = 206003.1
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.16233521 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0504s; samplesPerSecond = 203210.9
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.20146484 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0503s; samplesPerSecond = 203671.7
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.18873291 * 10240; EvalClassificationError = 0.37265625 * 10240; time = 0.0504s; samplesPerSecond = 203170.6
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.21314087 * 10240; EvalClassificationError = 0.38613281 * 10240; time = 0.0504s; samplesPerSecond = 203307.7
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.18326416 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0504s; samplesPerSecond = 203219.0
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.19665527 * 10240; EvalClassificationError = 0.38261719 * 10240; time = 0.0504s; samplesPerSecond = 203057.8
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.18226929 * 10240; EvalClassificationError = 0.37656250 * 10240; time = 0.0504s; samplesPerSecond = 203307.7
08/17/2016 10:07:08:  Epoch[ 9 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.19922485 * 10240; EvalClassificationError = 0.37646484 * 10240; time = 0.0504s; samplesPerSecond = 203206.9
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.21990356 * 10240; EvalClassificationError = 0.38476562 * 10240; time = 0.0504s; samplesPerSecond = 203053.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.18047485 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0504s; samplesPerSecond = 203182.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.18912964 * 10240; EvalClassificationError = 0.38251953 * 10240; time = 0.0501s; samplesPerSecond = 204277.1
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.20666504 * 10240; EvalClassificationError = 0.38300781 * 10240; time = 0.0498s; samplesPerSecond = 205775.4
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.18175659 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0501s; samplesPerSecond = 204391.2
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.19930420 * 10240; EvalClassificationError = 0.38261719 * 10240; time = 0.0496s; samplesPerSecond = 206630.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.19180298 * 10240; EvalClassificationError = 0.37861328 * 10240; time = 0.0501s; samplesPerSecond = 204281.1
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.21595459 * 10240; EvalClassificationError = 0.38437500 * 10240; time = 0.0505s; samplesPerSecond = 202876.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.19433594 * 10240; EvalClassificationError = 0.38007812 * 10240; time = 0.0506s; samplesPerSecond = 202483.6
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.17430420 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0507s; samplesPerSecond = 202060.1
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.19395752 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0503s; samplesPerSecond = 203546.2
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.16671143 * 10240; EvalClassificationError = 0.36933594 * 10240; time = 0.0504s; samplesPerSecond = 203227.0
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.16016846 * 10240; EvalClassificationError = 0.37255859 * 10240; time = 0.0504s; samplesPerSecond = 202993.4
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.19051514 * 10240; EvalClassificationError = 0.37333984 * 10240; time = 0.0505s; samplesPerSecond = 202973.2
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.18935547 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0502s; samplesPerSecond = 203809.5
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.19426270 * 10240; EvalClassificationError = 0.38144531 * 10240; time = 0.0503s; samplesPerSecond = 203396.6
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.17677002 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0504s; samplesPerSecond = 203045.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.15977783 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0502s; samplesPerSecond = 203809.5
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.17802734 * 10240; EvalClassificationError = 0.37958984 * 10240; time = 0.0505s; samplesPerSecond = 202880.7
08/17/2016 10:07:09:  Epoch[ 9 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.19038086 * 10240; EvalClassificationError = 0.37802734 * 10240; time = 0.0503s; samplesPerSecond = 203546.2
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.18514404 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0505s; samplesPerSecond = 202688.0
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.17004395 * 10240; EvalClassificationError = 0.37558594 * 10240; time = 0.0504s; samplesPerSecond = 203352.1
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.17971191 * 10240; EvalClassificationError = 0.37490234 * 10240; time = 0.0500s; samplesPerSecond = 204619.9
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.18574219 * 10240; EvalClassificationError = 0.37265625 * 10240; time = 0.0497s; samplesPerSecond = 206032.1
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.17713623 * 10240; EvalClassificationError = 0.38232422 * 10240; time = 0.0498s; samplesPerSecond = 205717.5
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.19372559 * 10240; EvalClassificationError = 0.37939453 * 10240; time = 0.0498s; samplesPerSecond = 205651.4
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.16794434 * 10240; EvalClassificationError = 0.37509766 * 10240; time = 0.0498s; samplesPerSecond = 205758.8
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.17902832 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0502s; samplesPerSecond = 204036.9
08/17/2016 10:07:10:  Epoch[ 9 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.18752441 * 10240; EvalClassificationError = 0.37763672 * 10240; time = 0.0503s; samplesPerSecond = 203651.4
08/17/2016 10:07:10: Finished Epoch[ 9 of 25]: [Training] CrossEntropyWithSoftmax = 1.18864546 * 1124823; EvalClassificationError = 0.37830308 * 1124823; totalSamplesSeen = 10123407; learningRatePerSample = 0.003125; epochTime=5.70788s
08/17/2016 10:07:10: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.9'

08/17/2016 10:07:10: 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

08/17/2016 10:07:10: Starting minibatch loop.
08/17/2016 10:07:10:  Epoch[10 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.14125042 * 10240; EvalClassificationError = 0.36748047 * 10240; time = 0.0523s; samplesPerSecond = 195771.0
08/17/2016 10:07:10:  Epoch[10 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.15652428 * 10240; EvalClassificationError = 0.37539062 * 10240; time = 0.0504s; samplesPerSecond = 203057.8
08/17/2016 10:07:10:  Epoch[10 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.15475826 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0504s; samplesPerSecond = 203356.2
08/17/2016 10:07:10:  Epoch[10 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.14099617 * 10240; EvalClassificationError = 0.37089844 * 10240; time = 0.0507s; samplesPerSecond = 202008.2
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.16613960 * 10240; EvalClassificationError = 0.37119141 * 10240; time = 0.0503s; samplesPerSecond = 203744.6
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.13733673 * 10240; EvalClassificationError = 0.35732422 * 10240; time = 0.0506s; samplesPerSecond = 202267.6
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.14765396 * 10240; EvalClassificationError = 0.36201172 * 10240; time = 0.0502s; samplesPerSecond = 204008.4
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.15255661 * 10240; EvalClassificationError = 0.37031250 * 10240; time = 0.0498s; samplesPerSecond = 205573.0
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.15752411 * 10240; EvalClassificationError = 0.36718750 * 10240; time = 0.0498s; samplesPerSecond = 205416.2
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.13752518 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.13181610 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0497s; samplesPerSecond = 206148.2
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.17823181 * 10240; EvalClassificationError = 0.37812500 * 10240; time = 0.0497s; samplesPerSecond = 205953.3
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.17369232 * 10240; EvalClassificationError = 0.37744141 * 10240; time = 0.0497s; samplesPerSecond = 206023.8
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.15498810 * 10240; EvalClassificationError = 0.36699219 * 10240; time = 0.0496s; samplesPerSecond = 206414.2
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.16786041 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0497s; samplesPerSecond = 206235.4
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.16788177 * 10240; EvalClassificationError = 0.37880859 * 10240; time = 0.0498s; samplesPerSecond = 205618.4
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.14049377 * 10240; EvalClassificationError = 0.36982422 * 10240; time = 0.0499s; samplesPerSecond = 205317.4
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.13699341 * 10240; EvalClassificationError = 0.36757812 * 10240; time = 0.0497s; samplesPerSecond = 206056.9
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.14866028 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0498s; samplesPerSecond = 205808.5
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.15802307 * 10240; EvalClassificationError = 0.37158203 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.16196747 * 10240; EvalClassificationError = 0.37099609 * 10240; time = 0.0499s; samplesPerSecond = 205157.0
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.17436371 * 10240; EvalClassificationError = 0.37734375 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.16001892 * 10240; EvalClassificationError = 0.36953125 * 10240; time = 0.0504s; samplesPerSecond = 203017.5
08/17/2016 10:07:11:  Epoch[10 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.15444641 * 10240; EvalClassificationError = 0.37070313 * 10240; time = 0.0504s; samplesPerSecond = 203243.2
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.16751404 * 10240; EvalClassificationError = 0.37412109 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.15727844 * 10240; EvalClassificationError = 0.37685547 * 10240; time = 0.0502s; samplesPerSecond = 203882.5
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.15207214 * 10240; EvalClassificationError = 0.37099609 * 10240; time = 0.0504s; samplesPerSecond = 203174.6
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.14632263 * 10240; EvalClassificationError = 0.36796875 * 10240; time = 0.0499s; samplesPerSecond = 205222.8
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.16563110 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0497s; samplesPerSecond = 205990.6
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.16307983 * 10240; EvalClassificationError = 0.37314453 * 10240; time = 0.0498s; samplesPerSecond = 205502.8
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.13660583 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0498s; samplesPerSecond = 205771.2
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.18164062 * 10240; EvalClassificationError = 0.37500000 * 10240; time = 0.0500s; samplesPerSecond = 204656.7
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.17283325 * 10240; EvalClassificationError = 0.37597656 * 10240; time = 0.0504s; samplesPerSecond = 203178.6
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.13798218 * 10240; EvalClassificationError = 0.36884766 * 10240; time = 0.0504s; samplesPerSecond = 203162.5
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.14685669 * 10240; EvalClassificationError = 0.36806641 * 10240; time = 0.0504s; samplesPerSecond = 203069.8
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.15919495 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0505s; samplesPerSecond = 202756.2
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.17532959 * 10240; EvalClassificationError = 0.37626953 * 10240; time = 0.0504s; samplesPerSecond = 203134.3
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.14533386 * 10240; EvalClassificationError = 0.36728516 * 10240; time = 0.0513s; samplesPerSecond = 199742.5
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.16560974 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0521s; samplesPerSecond = 196394.3
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.16142578 * 10240; EvalClassificationError = 0.37626953 * 10240; time = 0.0510s; samplesPerSecond = 200977.4
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.14651184 * 10240; EvalClassificationError = 0.36640625 * 10240; time = 0.0508s; samplesPerSecond = 201733.6
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.15583191 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0509s; samplesPerSecond = 200989.2
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.15164185 * 10240; EvalClassificationError = 0.36728516 * 10240; time = 0.0507s; samplesPerSecond = 201900.7
08/17/2016 10:07:12:  Epoch[10 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.15075378 * 10240; EvalClassificationError = 0.37216797 * 10240; time = 0.0507s; samplesPerSecond = 202084.0
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.13890076 * 10240; EvalClassificationError = 0.36777344 * 10240; time = 0.0505s; samplesPerSecond = 202768.3
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.13207397 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0502s; samplesPerSecond = 204183.4
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.16186523 * 10240; EvalClassificationError = 0.37949219 * 10240; time = 0.0501s; samplesPerSecond = 204538.2
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.16546021 * 10240; EvalClassificationError = 0.37187500 * 10240; time = 0.0499s; samplesPerSecond = 205313.3
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.17962036 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0498s; samplesPerSecond = 205746.4
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.14794312 * 10240; EvalClassificationError = 0.37089844 * 10240; time = 0.0497s; samplesPerSecond = 205940.9
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.15515137 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0497s; samplesPerSecond = 206198.0
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.16477051 * 10240; EvalClassificationError = 0.36914062 * 10240; time = 0.0497s; samplesPerSecond = 205911.9
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.13883057 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0497s; samplesPerSecond = 206177.3
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.17622070 * 10240; EvalClassificationError = 0.38105469 * 10240; time = 0.0500s; samplesPerSecond = 204890.2
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.15926514 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0503s; samplesPerSecond = 203647.4
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.14767456 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0500s; samplesPerSecond = 204746.8
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.18145752 * 10240; EvalClassificationError = 0.37617187 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.17069092 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0497s; samplesPerSecond = 206193.9
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.16158447 * 10240; EvalClassificationError = 0.37138672 * 10240; time = 0.0496s; samplesPerSecond = 206380.9
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.16755981 * 10240; EvalClassificationError = 0.37597656 * 10240; time = 0.0498s; samplesPerSecond = 205630.7
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.17582397 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0503s; samplesPerSecond = 203736.5
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.13748779 * 10240; EvalClassificationError = 0.36445312 * 10240; time = 0.0505s; samplesPerSecond = 202579.7
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.16917114 * 10240; EvalClassificationError = 0.37675781 * 10240; time = 0.0503s; samplesPerSecond = 203764.9
08/17/2016 10:07:13:  Epoch[10 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.18687134 * 10240; EvalClassificationError = 0.37910156 * 10240; time = 0.0504s; samplesPerSecond = 203025.6
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.15961914 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0504s; samplesPerSecond = 203295.6
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.14475098 * 10240; EvalClassificationError = 0.36757812 * 10240; time = 0.0505s; samplesPerSecond = 202969.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.16093140 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0504s; samplesPerSecond = 203017.5
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.16263428 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0499s; samplesPerSecond = 205152.9
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.15878296 * 10240; EvalClassificationError = 0.37929687 * 10240; time = 0.0496s; samplesPerSecond = 206484.9
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.13679199 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0498s; samplesPerSecond = 205482.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.15514526 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0496s; samplesPerSecond = 206614.1
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.13731689 * 10240; EvalClassificationError = 0.36337891 * 10240; time = 0.0498s; samplesPerSecond = 205758.8
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.16750488 * 10240; EvalClassificationError = 0.37617187 * 10240; time = 0.0496s; samplesPerSecond = 206618.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.15431519 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0498s; samplesPerSecond = 205482.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.16553955 * 10240; EvalClassificationError = 0.36416016 * 10240; time = 0.0498s; samplesPerSecond = 205436.9
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.16524048 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0502s; samplesPerSecond = 204130.5
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.15357666 * 10240; EvalClassificationError = 0.37236328 * 10240; time = 0.0505s; samplesPerSecond = 202916.9
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.17841187 * 10240; EvalClassificationError = 0.37695312 * 10240; time = 0.0505s; samplesPerSecond = 202752.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.14985962 * 10240; EvalClassificationError = 0.36914062 * 10240; time = 0.0504s; samplesPerSecond = 203126.2
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.16497803 * 10240; EvalClassificationError = 0.37197266 * 10240; time = 0.0503s; samplesPerSecond = 203432.9
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.16101685 * 10240; EvalClassificationError = 0.37666016 * 10240; time = 0.0507s; samplesPerSecond = 202139.8
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.17470703 * 10240; EvalClassificationError = 0.37480469 * 10240; time = 0.0506s; samplesPerSecond = 202179.8
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.15774536 * 10240; EvalClassificationError = 0.36425781 * 10240; time = 0.0505s; samplesPerSecond = 202832.5
08/17/2016 10:07:14:  Epoch[10 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.16523438 * 10240; EvalClassificationError = 0.37041016 * 10240; time = 0.0504s; samplesPerSecond = 203178.6
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.16368408 * 10240; EvalClassificationError = 0.36992188 * 10240; time = 0.0502s; samplesPerSecond = 203931.3
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.15303345 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.15230103 * 10240; EvalClassificationError = 0.36738281 * 10240; time = 0.0500s; samplesPerSecond = 204853.3
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.16661987 * 10240; EvalClassificationError = 0.37607422 * 10240; time = 0.0497s; samplesPerSecond = 205858.1
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.17548218 * 10240; EvalClassificationError = 0.37382813 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.14768066 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.13172607 * 10240; EvalClassificationError = 0.35937500 * 10240; time = 0.0497s; samplesPerSecond = 205953.3
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.16795654 * 10240; EvalClassificationError = 0.37128906 * 10240; time = 0.0497s; samplesPerSecond = 205920.2
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.16838379 * 10240; EvalClassificationError = 0.36923828 * 10240; time = 0.0497s; samplesPerSecond = 205870.5
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.13941650 * 10240; EvalClassificationError = 0.36943359 * 10240; time = 0.0498s; samplesPerSecond = 205601.8
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.15386963 * 10240; EvalClassificationError = 0.37255859 * 10240; time = 0.0497s; samplesPerSecond = 205957.5
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.18592529 * 10240; EvalClassificationError = 0.37958984 * 10240; time = 0.0499s; samplesPerSecond = 205115.9
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.15860596 * 10240; EvalClassificationError = 0.37070313 * 10240; time = 0.0497s; samplesPerSecond = 206123.3
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.15701904 * 10240; EvalClassificationError = 0.37216797 * 10240; time = 0.0496s; samplesPerSecond = 206306.0
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.16910400 * 10240; EvalClassificationError = 0.37324219 * 10240; time = 0.0499s; samplesPerSecond = 205276.2
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.13845215 * 10240; EvalClassificationError = 0.36279297 * 10240; time = 0.0497s; samplesPerSecond = 206090.1
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.14644775 * 10240; EvalClassificationError = 0.36708984 * 10240; time = 0.0503s; samplesPerSecond = 203578.5
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.17662354 * 10240; EvalClassificationError = 0.37304688 * 10240; time = 0.0505s; samplesPerSecond = 202900.8
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.14570313 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0504s; samplesPerSecond = 203214.9
08/17/2016 10:07:15:  Epoch[10 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.14707031 * 10240; EvalClassificationError = 0.36572266 * 10240; time = 0.0502s; samplesPerSecond = 203833.8
08/17/2016 10:07:16:  Epoch[10 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.13850098 * 10240; EvalClassificationError = 0.37158203 * 10240; time = 0.0501s; samplesPerSecond = 204277.1
08/17/2016 10:07:16:  Epoch[10 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.15090332 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0502s; samplesPerSecond = 203886.6
08/17/2016 10:07:16:  Epoch[10 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.14903564 * 10240; EvalClassificationError = 0.36865234 * 10240; time = 0.0501s; samplesPerSecond = 204407.5
08/17/2016 10:07:16:  Epoch[10 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.13746338 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0499s; samplesPerSecond = 205173.4
08/17/2016 10:07:16:  Epoch[10 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.15556641 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0496s; samplesPerSecond = 206551.6
08/17/2016 10:07:16: Finished Epoch[10 of 25]: [Training] CrossEntropyWithSoftmax = 1.15697047 * 1124823; EvalClassificationError = 0.37055786 * 1124823; totalSamplesSeen = 11248230; learningRatePerSample = 0.003125; epochTime=5.70645s
08/17/2016 10:07:16: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.10'

08/17/2016 10:07:16: 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

08/17/2016 10:07:16: Starting minibatch loop.
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.12787571 * 10240; EvalClassificationError = 0.36503906 * 10240; time = 0.0522s; samplesPerSecond = 196108.5
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.13595638 * 10240; EvalClassificationError = 0.36572266 * 10240; time = 0.0503s; samplesPerSecond = 203768.9
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.10122185 * 10240; EvalClassificationError = 0.35332031 * 10240; time = 0.0505s; samplesPerSecond = 202925.0
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.13547058 * 10240; EvalClassificationError = 0.37011719 * 10240; time = 0.0503s; samplesPerSecond = 203445.1
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.13783302 * 10240; EvalClassificationError = 0.37265625 * 10240; time = 0.0504s; samplesPerSecond = 203214.9
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.13929291 * 10240; EvalClassificationError = 0.36826172 * 10240; time = 0.0503s; samplesPerSecond = 203764.9
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.13810272 * 10240; EvalClassificationError = 0.36953125 * 10240; time = 0.0504s; samplesPerSecond = 203057.8
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.11555099 * 10240; EvalClassificationError = 0.36181641 * 10240; time = 0.0502s; samplesPerSecond = 204106.0
08/17/2016 10:07:16:  Epoch[11 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.14068375 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0506s; samplesPerSecond = 202547.7
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.12587128 * 10240; EvalClassificationError = 0.35761719 * 10240; time = 0.0504s; samplesPerSecond = 203267.4
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.14181900 * 10240; EvalClassificationError = 0.36513672 * 10240; time = 0.0503s; samplesPerSecond = 203412.7
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.12686386 * 10240; EvalClassificationError = 0.36152344 * 10240; time = 0.0500s; samplesPerSecond = 204775.4
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.11737671 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0503s; samplesPerSecond = 203675.7
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.11976624 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0503s; samplesPerSecond = 203445.1
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.11013031 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.13560333 * 10240; EvalClassificationError = 0.35849609 * 10240; time = 0.0504s; samplesPerSecond = 203069.8
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.12059937 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0504s; samplesPerSecond = 203243.2
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.14483490 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.13085938 * 10240; EvalClassificationError = 0.35976562 * 10240; time = 0.0504s; samplesPerSecond = 203049.7
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.11979675 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0504s; samplesPerSecond = 203263.3
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.12286682 * 10240; EvalClassificationError = 0.36279297 * 10240; time = 0.0504s; samplesPerSecond = 203102.1
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.14071655 * 10240; EvalClassificationError = 0.36367187 * 10240; time = 0.0503s; samplesPerSecond = 203712.2
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.13336487 * 10240; EvalClassificationError = 0.36162109 * 10240; time = 0.0502s; samplesPerSecond = 204102.0
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.15425110 * 10240; EvalClassificationError = 0.36855469 * 10240; time = 0.0503s; samplesPerSecond = 203481.4
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.13435364 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0504s; samplesPerSecond = 203227.0
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.13282471 * 10240; EvalClassificationError = 0.36289063 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.13412476 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0502s; samplesPerSecond = 203902.8
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.12573853 * 10240; EvalClassificationError = 0.36044922 * 10240; time = 0.0506s; samplesPerSecond = 202331.6
08/17/2016 10:07:17:  Epoch[11 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.13864441 * 10240; EvalClassificationError = 0.37050781 * 10240; time = 0.0504s; samplesPerSecond = 203275.4
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.12625427 * 10240; EvalClassificationError = 0.36132812 * 10240; time = 0.0504s; samplesPerSecond = 203251.2
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.12940979 * 10240; EvalClassificationError = 0.36474609 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.14089966 * 10240; EvalClassificationError = 0.36298828 * 10240; time = 0.0502s; samplesPerSecond = 204163.0
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.14010620 * 10240; EvalClassificationError = 0.36103516 * 10240; time = 0.0498s; samplesPerSecond = 205767.1
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.16015625 * 10240; EvalClassificationError = 0.37128906 * 10240; time = 0.0498s; samplesPerSecond = 205610.1
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.13048096 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0500s; samplesPerSecond = 204693.6
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.12386169 * 10240; EvalClassificationError = 0.35957031 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.12719116 * 10240; EvalClassificationError = 0.36142578 * 10240; time = 0.0500s; samplesPerSecond = 204763.1
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.13228760 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0497s; samplesPerSecond = 206164.8
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.12344055 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0495s; samplesPerSecond = 206743.4
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.12591858 * 10240; EvalClassificationError = 0.36191406 * 10240; time = 0.0497s; samplesPerSecond = 205928.5
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.15454712 * 10240; EvalClassificationError = 0.36308594 * 10240; time = 0.0502s; samplesPerSecond = 204163.0
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.09275208 * 10240; EvalClassificationError = 0.34501953 * 10240; time = 0.0506s; samplesPerSecond = 202315.6
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.13460083 * 10240; EvalClassificationError = 0.36738281 * 10240; time = 0.0504s; samplesPerSecond = 203323.9
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.13298950 * 10240; EvalClassificationError = 0.36689453 * 10240; time = 0.0504s; samplesPerSecond = 203178.6
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.12648315 * 10240; EvalClassificationError = 0.36386719 * 10240; time = 0.0504s; samplesPerSecond = 203069.8
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.11334534 * 10240; EvalClassificationError = 0.35751953 * 10240; time = 0.0506s; samplesPerSecond = 202255.6
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.14510498 * 10240; EvalClassificationError = 0.36972656 * 10240; time = 0.0505s; samplesPerSecond = 202599.8
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.14898682 * 10240; EvalClassificationError = 0.37773438 * 10240; time = 0.0504s; samplesPerSecond = 203021.5
08/17/2016 10:07:18:  Epoch[11 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.14295654 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0504s; samplesPerSecond = 203352.1
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.10203247 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0505s; samplesPerSecond = 202716.1
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.14343262 * 10240; EvalClassificationError = 0.36777344 * 10240; time = 0.0503s; samplesPerSecond = 203574.5
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.11734009 * 10240; EvalClassificationError = 0.36210938 * 10240; time = 0.0498s; samplesPerSecond = 205626.6
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.12731323 * 10240; EvalClassificationError = 0.36298828 * 10240; time = 0.0496s; samplesPerSecond = 206335.1
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.14754639 * 10240; EvalClassificationError = 0.36650391 * 10240; time = 0.0499s; samplesPerSecond = 205120.0
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.12009277 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0497s; samplesPerSecond = 206164.8
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.12709351 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0499s; samplesPerSecond = 205161.1
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.13988037 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0496s; samplesPerSecond = 206609.9
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.14509888 * 10240; EvalClassificationError = 0.36455078 * 10240; time = 0.0498s; samplesPerSecond = 205825.0
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.13218384 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0497s; samplesPerSecond = 206160.7
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.13981323 * 10240; EvalClassificationError = 0.37080078 * 10240; time = 0.0499s; samplesPerSecond = 205144.6
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.14132080 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0499s; samplesPerSecond = 205391.5
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.12587891 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0499s; samplesPerSecond = 205157.0
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.12649536 * 10240; EvalClassificationError = 0.36572266 * 10240; time = 0.0497s; samplesPerSecond = 206239.6
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.10128174 * 10240; EvalClassificationError = 0.35410156 * 10240; time = 0.0498s; samplesPerSecond = 205515.2
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.12733154 * 10240; EvalClassificationError = 0.35878906 * 10240; time = 0.0500s; samplesPerSecond = 204714.0
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.12405396 * 10240; EvalClassificationError = 0.35800781 * 10240; time = 0.0505s; samplesPerSecond = 202583.7
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.13440552 * 10240; EvalClassificationError = 0.36640625 * 10240; time = 0.0504s; samplesPerSecond = 203283.5
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.13044434 * 10240; EvalClassificationError = 0.35976562 * 10240; time = 0.0504s; samplesPerSecond = 203122.2
08/17/2016 10:07:19:  Epoch[11 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.12819214 * 10240; EvalClassificationError = 0.36386719 * 10240; time = 0.0505s; samplesPerSecond = 202724.1
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.11611328 * 10240; EvalClassificationError = 0.36103516 * 10240; time = 0.0504s; samplesPerSecond = 203005.4
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.13547974 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0504s; samplesPerSecond = 203315.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.12996826 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0498s; samplesPerSecond = 205416.2
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.12885132 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0497s; samplesPerSecond = 206189.7
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.09672241 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0497s; samplesPerSecond = 206023.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.12279663 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0497s; samplesPerSecond = 205965.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.12131958 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0501s; samplesPerSecond = 204293.4
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.14642334 * 10240; EvalClassificationError = 0.36933594 * 10240; time = 0.0503s; samplesPerSecond = 203384.4
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.12477417 * 10240; EvalClassificationError = 0.36230469 * 10240; time = 0.0504s; samplesPerSecond = 203045.7
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.13748779 * 10240; EvalClassificationError = 0.36669922 * 10240; time = 0.0504s; samplesPerSecond = 203319.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.13958740 * 10240; EvalClassificationError = 0.37001953 * 10240; time = 0.0507s; samplesPerSecond = 202012.2
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.13864136 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0503s; samplesPerSecond = 203679.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.12515259 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0503s; samplesPerSecond = 203517.8
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.11444092 * 10240; EvalClassificationError = 0.35332031 * 10240; time = 0.0504s; samplesPerSecond = 203263.3
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.12286377 * 10240; EvalClassificationError = 0.36152344 * 10240; time = 0.0504s; samplesPerSecond = 203231.1
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.12453003 * 10240; EvalClassificationError = 0.36679688 * 10240; time = 0.0505s; samplesPerSecond = 202587.7
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.14738770 * 10240; EvalClassificationError = 0.36904297 * 10240; time = 0.0505s; samplesPerSecond = 202639.9
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.13069458 * 10240; EvalClassificationError = 0.35947266 * 10240; time = 0.0506s; samplesPerSecond = 202219.7
08/17/2016 10:07:20:  Epoch[11 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.12841797 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0504s; samplesPerSecond = 203219.0
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.12993164 * 10240; EvalClassificationError = 0.36435547 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.13119507 * 10240; EvalClassificationError = 0.35947266 * 10240; time = 0.0505s; samplesPerSecond = 202704.0
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.14464111 * 10240; EvalClassificationError = 0.36962891 * 10240; time = 0.0502s; samplesPerSecond = 204069.4
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.11445313 * 10240; EvalClassificationError = 0.36015625 * 10240; time = 0.0499s; samplesPerSecond = 205346.2
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.14139404 * 10240; EvalClassificationError = 0.37050781 * 10240; time = 0.0497s; samplesPerSecond = 206127.5
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.13107910 * 10240; EvalClassificationError = 0.36660156 * 10240; time = 0.0498s; samplesPerSecond = 205808.5
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.12819824 * 10240; EvalClassificationError = 0.36865234 * 10240; time = 0.0496s; samplesPerSecond = 206435.0
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.13923340 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0501s; samplesPerSecond = 204220.0
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.12841797 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0502s; samplesPerSecond = 203870.4
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.14631348 * 10240; EvalClassificationError = 0.37021484 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.13107910 * 10240; EvalClassificationError = 0.36367187 * 10240; time = 0.0497s; samplesPerSecond = 205895.4
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.13424072 * 10240; EvalClassificationError = 0.36054687 * 10240; time = 0.0500s; samplesPerSecond = 204791.8
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.11718750 * 10240; EvalClassificationError = 0.36494141 * 10240; time = 0.0495s; samplesPerSecond = 206726.7
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.14123535 * 10240; EvalClassificationError = 0.36484375 * 10240; time = 0.0496s; samplesPerSecond = 206468.3
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.15319824 * 10240; EvalClassificationError = 0.37226562 * 10240; time = 0.0495s; samplesPerSecond = 206973.2
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.12861328 * 10240; EvalClassificationError = 0.36142578 * 10240; time = 0.0504s; samplesPerSecond = 203259.3
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.13642578 * 10240; EvalClassificationError = 0.36494141 * 10240; time = 0.0502s; samplesPerSecond = 204114.2
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.13370361 * 10240; EvalClassificationError = 0.36826172 * 10240; time = 0.0508s; samplesPerSecond = 201602.6
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.11441650 * 10240; EvalClassificationError = 0.36533203 * 10240; time = 0.0501s; samplesPerSecond = 204362.7
08/17/2016 10:07:21:  Epoch[11 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.13266602 * 10240; EvalClassificationError = 0.36181641 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:07:22:  Epoch[11 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.11759033 * 10240; EvalClassificationError = 0.35722656 * 10240; time = 0.0502s; samplesPerSecond = 204069.4
08/17/2016 10:07:22: Finished Epoch[11 of 25]: [Training] CrossEntropyWithSoftmax = 1.13048342 * 1124823; EvalClassificationError = 0.36353364 * 1124823; totalSamplesSeen = 12373053; learningRatePerSample = 0.003125; epochTime=5.71231s
08/17/2016 10:07:22: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.11'

08/17/2016 10:07:22: 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

08/17/2016 10:07:22: Starting minibatch loop.
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.11819134 * 10240; EvalClassificationError = 0.36611328 * 10240; time = 0.0516s; samplesPerSecond = 198372.7
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.10932083 * 10240; EvalClassificationError = 0.36044922 * 10240; time = 0.0504s; samplesPerSecond = 203170.6
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.09396496 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0505s; samplesPerSecond = 202728.1
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.09783363 * 10240; EvalClassificationError = 0.35683594 * 10240; time = 0.0503s; samplesPerSecond = 203521.9
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.08705215 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0503s; samplesPerSecond = 203509.7
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.09701920 * 10240; EvalClassificationError = 0.35419922 * 10240; time = 0.0504s; samplesPerSecond = 203162.5
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.10626526 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0506s; samplesPerSecond = 202515.6
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.09506683 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.11374130 * 10240; EvalClassificationError = 0.36191406 * 10240; time = 0.0504s; samplesPerSecond = 203348.1
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.09237823 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0503s; samplesPerSecond = 203530.0
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.10451050 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0505s; samplesPerSecond = 202712.1
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.07141266 * 10240; EvalClassificationError = 0.34736328 * 10240; time = 0.0503s; samplesPerSecond = 203764.9
08/17/2016 10:07:22:  Epoch[12 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.07994995 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0504s; samplesPerSecond = 203194.8
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.12402496 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0504s; samplesPerSecond = 203356.2
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.08730469 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0504s; samplesPerSecond = 203327.9
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.10249634 * 10240; EvalClassificationError = 0.35625000 * 10240; time = 0.0501s; samplesPerSecond = 204224.1
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.09555511 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0500s; samplesPerSecond = 204910.7
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.13144073 * 10240; EvalClassificationError = 0.36318359 * 10240; time = 0.0499s; samplesPerSecond = 205124.1
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07709656 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0498s; samplesPerSecond = 205577.1
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.11269989 * 10240; EvalClassificationError = 0.35683594 * 10240; time = 0.0498s; samplesPerSecond = 205614.2
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.07960510 * 10240; EvalClassificationError = 0.34511719 * 10240; time = 0.0498s; samplesPerSecond = 205465.7
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.10350647 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0495s; samplesPerSecond = 206868.7
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.12135773 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0500s; samplesPerSecond = 204910.7
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.09817810 * 10240; EvalClassificationError = 0.35419922 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.10344543 * 10240; EvalClassificationError = 0.35478516 * 10240; time = 0.0503s; samplesPerSecond = 203489.5
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.10315857 * 10240; EvalClassificationError = 0.35253906 * 10240; time = 0.0502s; samplesPerSecond = 203837.9
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.09870300 * 10240; EvalClassificationError = 0.35429688 * 10240; time = 0.0503s; samplesPerSecond = 203627.1
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.10561523 * 10240; EvalClassificationError = 0.36328125 * 10240; time = 0.0502s; samplesPerSecond = 204171.2
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.11909790 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0504s; samplesPerSecond = 203340.0
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.10688477 * 10240; EvalClassificationError = 0.35537109 * 10240; time = 0.0503s; samplesPerSecond = 203631.2
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.10443420 * 10240; EvalClassificationError = 0.35517578 * 10240; time = 0.0503s; samplesPerSecond = 203469.3
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.12293091 * 10240; EvalClassificationError = 0.36132812 * 10240; time = 0.0503s; samplesPerSecond = 203643.3
08/17/2016 10:07:23:  Epoch[12 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.12264099 * 10240; EvalClassificationError = 0.35634766 * 10240; time = 0.0504s; samplesPerSecond = 203327.9
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.08894958 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0503s; samplesPerSecond = 203647.4
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.12431030 * 10240; EvalClassificationError = 0.35917969 * 10240; time = 0.0504s; samplesPerSecond = 203126.2
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.11043396 * 10240; EvalClassificationError = 0.36123047 * 10240; time = 0.0499s; samplesPerSecond = 205087.1
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.10750427 * 10240; EvalClassificationError = 0.35468750 * 10240; time = 0.0498s; samplesPerSecond = 205812.6
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.10350342 * 10240; EvalClassificationError = 0.35839844 * 10240; time = 0.0498s; samplesPerSecond = 205469.8
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.14833984 * 10240; EvalClassificationError = 0.36669922 * 10240; time = 0.0497s; samplesPerSecond = 205878.8
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.06611633 * 10240; EvalClassificationError = 0.34814453 * 10240; time = 0.0502s; samplesPerSecond = 204012.5
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.09467468 * 10240; EvalClassificationError = 0.35263672 * 10240; time = 0.0499s; samplesPerSecond = 205263.9
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.10283813 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0502s; samplesPerSecond = 203947.5
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.10613098 * 10240; EvalClassificationError = 0.36289063 * 10240; time = 0.0502s; samplesPerSecond = 204069.4
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.09016113 * 10240; EvalClassificationError = 0.35849609 * 10240; time = 0.0504s; samplesPerSecond = 203194.8
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.09602661 * 10240; EvalClassificationError = 0.35722656 * 10240; time = 0.0504s; samplesPerSecond = 203126.2
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.11268005 * 10240; EvalClassificationError = 0.36074219 * 10240; time = 0.0503s; samplesPerSecond = 203437.0
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.12120056 * 10240; EvalClassificationError = 0.35966797 * 10240; time = 0.0505s; samplesPerSecond = 202603.8
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.10816650 * 10240; EvalClassificationError = 0.35986328 * 10240; time = 0.0502s; samplesPerSecond = 204146.7
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.12464600 * 10240; EvalClassificationError = 0.36406250 * 10240; time = 0.0503s; samplesPerSecond = 203619.0
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.11640625 * 10240; EvalClassificationError = 0.36005859 * 10240; time = 0.0503s; samplesPerSecond = 203659.5
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.11527100 * 10240; EvalClassificationError = 0.35927734 * 10240; time = 0.0505s; samplesPerSecond = 202961.2
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.10710449 * 10240; EvalClassificationError = 0.36171875 * 10240; time = 0.0504s; samplesPerSecond = 202977.3
08/17/2016 10:07:24:  Epoch[12 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.10991211 * 10240; EvalClassificationError = 0.35468750 * 10240; time = 0.0505s; samplesPerSecond = 202587.7
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.10649414 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0504s; samplesPerSecond = 203094.0
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.11833496 * 10240; EvalClassificationError = 0.36083984 * 10240; time = 0.0504s; samplesPerSecond = 203134.3
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08958130 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0499s; samplesPerSecond = 205321.5
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.08806152 * 10240; EvalClassificationError = 0.34902344 * 10240; time = 0.0501s; samplesPerSecond = 204415.7
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.10759888 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0498s; samplesPerSecond = 205750.6
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.10222778 * 10240; EvalClassificationError = 0.35380859 * 10240; time = 0.0499s; samplesPerSecond = 205358.6
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.09812622 * 10240; EvalClassificationError = 0.35234375 * 10240; time = 0.0499s; samplesPerSecond = 205342.1
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.10987549 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0496s; samplesPerSecond = 206397.5
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.11381836 * 10240; EvalClassificationError = 0.36093750 * 10240; time = 0.0502s; samplesPerSecond = 203805.4
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.09069214 * 10240; EvalClassificationError = 0.34931641 * 10240; time = 0.0504s; samplesPerSecond = 203235.1
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.07846680 * 10240; EvalClassificationError = 0.34560547 * 10240; time = 0.0501s; samplesPerSecond = 204513.7
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.10598145 * 10240; EvalClassificationError = 0.35400391 * 10240; time = 0.0504s; samplesPerSecond = 203368.3
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.09365234 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0502s; samplesPerSecond = 204016.6
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.09372559 * 10240; EvalClassificationError = 0.35341797 * 10240; time = 0.0504s; samplesPerSecond = 203001.4
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.11109009 * 10240; EvalClassificationError = 0.35791016 * 10240; time = 0.0507s; samplesPerSecond = 201868.9
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.09660645 * 10240; EvalClassificationError = 0.35214844 * 10240; time = 0.0504s; samplesPerSecond = 202997.4
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.09437866 * 10240; EvalClassificationError = 0.35673828 * 10240; time = 0.0504s; samplesPerSecond = 203255.3
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.11589355 * 10240; EvalClassificationError = 0.36357422 * 10240; time = 0.0506s; samplesPerSecond = 202443.6
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.10570068 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0503s; samplesPerSecond = 203424.8
08/17/2016 10:07:25:  Epoch[12 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.09699097 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0503s; samplesPerSecond = 203635.2
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.11431885 * 10240; EvalClassificationError = 0.35537109 * 10240; time = 0.0504s; samplesPerSecond = 203372.3
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.12254028 * 10240; EvalClassificationError = 0.35761719 * 10240; time = 0.0504s; samplesPerSecond = 203065.8
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.11280518 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0500s; samplesPerSecond = 204759.0
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.09443359 * 10240; EvalClassificationError = 0.35869141 * 10240; time = 0.0497s; samplesPerSecond = 205994.8
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.11126709 * 10240; EvalClassificationError = 0.35449219 * 10240; time = 0.0497s; samplesPerSecond = 206090.1
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.10875244 * 10240; EvalClassificationError = 0.35605469 * 10240; time = 0.0498s; samplesPerSecond = 205585.3
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.10668335 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0498s; samplesPerSecond = 205614.2
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.12531128 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0496s; samplesPerSecond = 206489.1
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.10348511 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0497s; samplesPerSecond = 205849.8
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.10031128 * 10240; EvalClassificationError = 0.35449219 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.11469727 * 10240; EvalClassificationError = 0.35771484 * 10240; time = 0.0496s; samplesPerSecond = 206322.7
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.10129395 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0497s; samplesPerSecond = 205895.4
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.10336304 * 10240; EvalClassificationError = 0.35488281 * 10240; time = 0.0496s; samplesPerSecond = 206572.4
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.12546387 * 10240; EvalClassificationError = 0.36064453 * 10240; time = 0.0501s; samplesPerSecond = 204346.4
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.11594849 * 10240; EvalClassificationError = 0.35546875 * 10240; time = 0.0497s; samplesPerSecond = 205878.8
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.13077393 * 10240; EvalClassificationError = 0.36171875 * 10240; time = 0.0499s; samplesPerSecond = 205313.3
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.11342163 * 10240; EvalClassificationError = 0.35175781 * 10240; time = 0.0505s; samplesPerSecond = 202776.3
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.11456299 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0508s; samplesPerSecond = 201491.5
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.10192871 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:07:26:  Epoch[12 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.10733643 * 10240; EvalClassificationError = 0.35253906 * 10240; time = 0.0505s; samplesPerSecond = 202912.9
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.10335693 * 10240; EvalClassificationError = 0.35644531 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.10902100 * 10240; EvalClassificationError = 0.35830078 * 10240; time = 0.0504s; samplesPerSecond = 203315.8
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.11013184 * 10240; EvalClassificationError = 0.36113281 * 10240; time = 0.0497s; samplesPerSecond = 205903.6
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.10681152 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0497s; samplesPerSecond = 205903.6
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.11088867 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0496s; samplesPerSecond = 206401.7
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.10085449 * 10240; EvalClassificationError = 0.35576172 * 10240; time = 0.0498s; samplesPerSecond = 205783.6
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.12332764 * 10240; EvalClassificationError = 0.35820313 * 10240; time = 0.0498s; samplesPerSecond = 205564.7
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.12030029 * 10240; EvalClassificationError = 0.35742188 * 10240; time = 0.0499s; samplesPerSecond = 205062.5
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.10532227 * 10240; EvalClassificationError = 0.35761719 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.08306885 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0498s; samplesPerSecond = 205614.2
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.10643311 * 10240; EvalClassificationError = 0.35703125 * 10240; time = 0.0497s; samplesPerSecond = 206077.7
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.10080566 * 10240; EvalClassificationError = 0.35712891 * 10240; time = 0.0500s; samplesPerSecond = 204791.8
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.10026855 * 10240; EvalClassificationError = 0.35449219 * 10240; time = 0.0500s; samplesPerSecond = 204677.2
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.09278564 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0497s; samplesPerSecond = 205882.9
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.09715576 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0498s; samplesPerSecond = 205568.8
08/17/2016 10:07:27:  Epoch[12 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.12724609 * 10240; EvalClassificationError = 0.36513672 * 10240; time = 0.0501s; samplesPerSecond = 204464.7
08/17/2016 10:07:27: Finished Epoch[12 of 25]: [Training] CrossEntropyWithSoftmax = 1.10551360 * 1124823; EvalClassificationError = 0.35575108 * 1124823; totalSamplesSeen = 13497876; learningRatePerSample = 0.003125; epochTime=5.70578s
08/17/2016 10:07:27: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.12'

08/17/2016 10:07:27: 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

08/17/2016 10:07:28: Starting minibatch loop.
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.09868584 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0518s; samplesPerSecond = 197652.9
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.07397270 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0497s; samplesPerSecond = 205920.2
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.05686340 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0503s; samplesPerSecond = 203675.7
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.07664604 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0503s; samplesPerSecond = 203760.8
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.07388802 * 10240; EvalClassificationError = 0.35351562 * 10240; time = 0.0501s; samplesPerSecond = 204476.9
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.11158066 * 10240; EvalClassificationError = 0.35537109 * 10240; time = 0.0497s; samplesPerSecond = 206139.9
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.07500381 * 10240; EvalClassificationError = 0.34619141 * 10240; time = 0.0499s; samplesPerSecond = 205231.0
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.07929840 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0506s; samplesPerSecond = 202291.6
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.08591843 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0503s; samplesPerSecond = 203554.2
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.09033279 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0501s; samplesPerSecond = 204468.8
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.06601334 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0505s; samplesPerSecond = 202603.8
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.08043823 * 10240; EvalClassificationError = 0.35634766 * 10240; time = 0.0504s; samplesPerSecond = 203166.5
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.06499481 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0504s; samplesPerSecond = 202985.3
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.08747711 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0501s; samplesPerSecond = 204232.2
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.06309509 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0498s; samplesPerSecond = 205436.9
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.09751434 * 10240; EvalClassificationError = 0.35546875 * 10240; time = 0.0504s; samplesPerSecond = 203049.7
08/17/2016 10:07:28:  Epoch[13 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.09938354 * 10240; EvalClassificationError = 0.35634766 * 10240; time = 0.0505s; samplesPerSecond = 202635.8
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.09258881 * 10240; EvalClassificationError = 0.35458984 * 10240; time = 0.0504s; samplesPerSecond = 203033.6
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07913971 * 10240; EvalClassificationError = 0.35029297 * 10240; time = 0.0504s; samplesPerSecond = 203045.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.09759369 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0502s; samplesPerSecond = 203789.2
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.09475708 * 10240; EvalClassificationError = 0.35224609 * 10240; time = 0.0497s; samplesPerSecond = 205957.5
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.08771210 * 10240; EvalClassificationError = 0.35166016 * 10240; time = 0.0498s; samplesPerSecond = 205771.2
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.09038849 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0500s; samplesPerSecond = 205000.9
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.09987335 * 10240; EvalClassificationError = 0.35361328 * 10240; time = 0.0498s; samplesPerSecond = 205663.8
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.07632446 * 10240; EvalClassificationError = 0.35000000 * 10240; time = 0.0496s; samplesPerSecond = 206505.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.06899719 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0502s; samplesPerSecond = 204036.9
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.08439026 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.07570190 * 10240; EvalClassificationError = 0.35078125 * 10240; time = 0.0501s; samplesPerSecond = 204391.2
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.08957214 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0502s; samplesPerSecond = 203841.9
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.10158997 * 10240; EvalClassificationError = 0.35791016 * 10240; time = 0.0500s; samplesPerSecond = 204951.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.06658630 * 10240; EvalClassificationError = 0.34804687 * 10240; time = 0.0504s; samplesPerSecond = 203049.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.04451294 * 10240; EvalClassificationError = 0.34111328 * 10240; time = 0.0504s; samplesPerSecond = 203263.3
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.06489563 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0504s; samplesPerSecond = 203307.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.08598633 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0503s; samplesPerSecond = 203412.7
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.09259949 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0505s; samplesPerSecond = 202808.4
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.07916565 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0502s; samplesPerSecond = 203910.9
08/17/2016 10:07:29:  Epoch[13 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.08185730 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0504s; samplesPerSecond = 203319.8
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.09451599 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0503s; samplesPerSecond = 203631.2
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.06523132 * 10240; EvalClassificationError = 0.34365234 * 10240; time = 0.0501s; samplesPerSecond = 204256.7
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.08091736 * 10240; EvalClassificationError = 0.34667969 * 10240; time = 0.0504s; samplesPerSecond = 203081.9
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.08467712 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0496s; samplesPerSecond = 206618.2
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.09559631 * 10240; EvalClassificationError = 0.35175781 * 10240; time = 0.0497s; samplesPerSecond = 206003.1
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.09147034 * 10240; EvalClassificationError = 0.36103516 * 10240; time = 0.0498s; samplesPerSecond = 205667.9
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.07996826 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0498s; samplesPerSecond = 205800.2
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.07559814 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0497s; samplesPerSecond = 206098.4
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.09710388 * 10240; EvalClassificationError = 0.34931641 * 10240; time = 0.0495s; samplesPerSecond = 207002.5
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.08118591 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0499s; samplesPerSecond = 205292.7
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.06514282 * 10240; EvalClassificationError = 0.34228516 * 10240; time = 0.0497s; samplesPerSecond = 205903.6
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.07985840 * 10240; EvalClassificationError = 0.34550781 * 10240; time = 0.0497s; samplesPerSecond = 206048.7
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.08823853 * 10240; EvalClassificationError = 0.35937500 * 10240; time = 0.0498s; samplesPerSecond = 205829.1
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.06304932 * 10240; EvalClassificationError = 0.33837891 * 10240; time = 0.0498s; samplesPerSecond = 205610.1
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.08803101 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0496s; samplesPerSecond = 206285.3
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.07850952 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0500s; samplesPerSecond = 204656.7
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.08442993 * 10240; EvalClassificationError = 0.35058594 * 10240; time = 0.0496s; samplesPerSecond = 206331.0
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.07058105 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0497s; samplesPerSecond = 205849.8
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08513184 * 10240; EvalClassificationError = 0.35009766 * 10240; time = 0.0498s; samplesPerSecond = 205721.6
08/17/2016 10:07:30:  Epoch[13 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.09181519 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0500s; samplesPerSecond = 204898.4
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.09274902 * 10240; EvalClassificationError = 0.35439453 * 10240; time = 0.0497s; samplesPerSecond = 205887.1
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.09415894 * 10240; EvalClassificationError = 0.35058594 * 10240; time = 0.0496s; samplesPerSecond = 206514.1
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.07747192 * 10240; EvalClassificationError = 0.35048828 * 10240; time = 0.0498s; samplesPerSecond = 205672.0
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.06714478 * 10240; EvalClassificationError = 0.34365234 * 10240; time = 0.0498s; samplesPerSecond = 205539.9
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.05620728 * 10240; EvalClassificationError = 0.34150391 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.10271606 * 10240; EvalClassificationError = 0.35673828 * 10240; time = 0.0499s; samplesPerSecond = 205050.2
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.07136230 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0498s; samplesPerSecond = 205511.1
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.08623657 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0499s; samplesPerSecond = 205128.2
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.08641968 * 10240; EvalClassificationError = 0.34980469 * 10240; time = 0.0498s; samplesPerSecond = 205593.6
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.08895874 * 10240; EvalClassificationError = 0.35615234 * 10240; time = 0.0499s; samplesPerSecond = 205268.0
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.08604736 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0498s; samplesPerSecond = 205684.4
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.10610352 * 10240; EvalClassificationError = 0.35664062 * 10240; time = 0.0500s; samplesPerSecond = 204996.8
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.08687744 * 10240; EvalClassificationError = 0.34628906 * 10240; time = 0.0499s; samplesPerSecond = 205403.9
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.08361206 * 10240; EvalClassificationError = 0.34863281 * 10240; time = 0.0496s; samplesPerSecond = 206256.2
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.09738159 * 10240; EvalClassificationError = 0.35087891 * 10240; time = 0.0495s; samplesPerSecond = 206693.3
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.06643066 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0498s; samplesPerSecond = 205634.9
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.06074829 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0497s; samplesPerSecond = 205878.8
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.08693848 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0499s; samplesPerSecond = 205235.1
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.08187256 * 10240; EvalClassificationError = 0.35097656 * 10240; time = 0.0497s; samplesPerSecond = 206069.4
08/17/2016 10:07:31:  Epoch[13 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.08464966 * 10240; EvalClassificationError = 0.34980469 * 10240; time = 0.0498s; samplesPerSecond = 205535.8
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.06139526 * 10240; EvalClassificationError = 0.34667969 * 10240; time = 0.0496s; samplesPerSecond = 206601.6
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.06779785 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0499s; samplesPerSecond = 205358.6
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.07227173 * 10240; EvalClassificationError = 0.34306641 * 10240; time = 0.0495s; samplesPerSecond = 206910.5
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.07650146 * 10240; EvalClassificationError = 0.34482422 * 10240; time = 0.0499s; samplesPerSecond = 205346.2
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.07715454 * 10240; EvalClassificationError = 0.34843750 * 10240; time = 0.0499s; samplesPerSecond = 205338.0
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.09932861 * 10240; EvalClassificationError = 0.35693359 * 10240; time = 0.0499s; samplesPerSecond = 205066.6
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.10012207 * 10240; EvalClassificationError = 0.35185547 * 10240; time = 0.0498s; samplesPerSecond = 205808.5
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.07364502 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0498s; samplesPerSecond = 205763.0
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.07471924 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0499s; samplesPerSecond = 205354.5
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.08760376 * 10240; EvalClassificationError = 0.35126953 * 10240; time = 0.0497s; samplesPerSecond = 206185.6
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.07383423 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.09271851 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0499s; samplesPerSecond = 205140.5
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.09339600 * 10240; EvalClassificationError = 0.34853516 * 10240; time = 0.0500s; samplesPerSecond = 204775.4
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.08151855 * 10240; EvalClassificationError = 0.35019531 * 10240; time = 0.0496s; samplesPerSecond = 206376.7
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.05585327 * 10240; EvalClassificationError = 0.33808594 * 10240; time = 0.0498s; samplesPerSecond = 205610.1
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.10103760 * 10240; EvalClassificationError = 0.35273437 * 10240; time = 0.0500s; samplesPerSecond = 204882.0
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.10353394 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0514s; samplesPerSecond = 199314.9
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.08774414 * 10240; EvalClassificationError = 0.35478516 * 10240; time = 0.0510s; samplesPerSecond = 200804.0
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.08374023 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0501s; samplesPerSecond = 204530.0
08/17/2016 10:07:32:  Epoch[13 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.09311523 * 10240; EvalClassificationError = 0.35498047 * 10240; time = 0.0500s; samplesPerSecond = 204996.8
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.06612549 * 10240; EvalClassificationError = 0.35087891 * 10240; time = 0.0501s; samplesPerSecond = 204501.4
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.12032471 * 10240; EvalClassificationError = 0.35654297 * 10240; time = 0.0501s; samplesPerSecond = 204566.8
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.08055420 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0501s; samplesPerSecond = 204391.2
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.07695312 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0500s; samplesPerSecond = 204845.1
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.06606445 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0500s; samplesPerSecond = 204869.7
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.10931396 * 10240; EvalClassificationError = 0.36630859 * 10240; time = 0.0500s; samplesPerSecond = 204763.1
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.08150635 * 10240; EvalClassificationError = 0.34804687 * 10240; time = 0.0497s; samplesPerSecond = 205982.3
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.08780518 * 10240; EvalClassificationError = 0.35146484 * 10240; time = 0.0501s; samplesPerSecond = 204281.1
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.09425049 * 10240; EvalClassificationError = 0.34960938 * 10240; time = 0.0497s; samplesPerSecond = 205845.7
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.11091309 * 10240; EvalClassificationError = 0.35205078 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.09267578 * 10240; EvalClassificationError = 0.35595703 * 10240; time = 0.0498s; samplesPerSecond = 205692.7
08/17/2016 10:07:33:  Epoch[13 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.07067871 * 10240; EvalClassificationError = 0.34716797 * 10240; time = 0.0498s; samplesPerSecond = 205577.1
08/17/2016 10:07:33: Finished Epoch[13 of 25]: [Training] CrossEntropyWithSoftmax = 1.08324454 * 1124823; EvalClassificationError = 0.34997684 * 1124823; totalSamplesSeen = 14622699; learningRatePerSample = 0.003125; epochTime=5.6956s
08/17/2016 10:07:33: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.13'

08/17/2016 10:07:33: 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

08/17/2016 10:07:33: Starting minibatch loop.
08/17/2016 10:07:33:  Epoch[14 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.04421749 * 10240; EvalClassificationError = 0.34091797 * 10240; time = 0.0524s; samplesPerSecond = 195390.0
08/17/2016 10:07:33:  Epoch[14 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.06042385 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0509s; samplesPerSecond = 201230.2
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.04759789 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0505s; samplesPerSecond = 202696.0
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.03804626 * 10240; EvalClassificationError = 0.33876953 * 10240; time = 0.0505s; samplesPerSecond = 202748.2
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04205742 * 10240; EvalClassificationError = 0.33798828 * 10240; time = 0.0501s; samplesPerSecond = 204497.3
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.05733147 * 10240; EvalClassificationError = 0.34062500 * 10240; time = 0.0498s; samplesPerSecond = 205804.3
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.04683685 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0497s; samplesPerSecond = 206222.9
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.04753265 * 10240; EvalClassificationError = 0.33935547 * 10240; time = 0.0497s; samplesPerSecond = 206131.6
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.03142014 * 10240; EvalClassificationError = 0.33242187 * 10240; time = 0.0496s; samplesPerSecond = 206543.2
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.04878464 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0498s; samplesPerSecond = 205696.8
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.07948380 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0497s; samplesPerSecond = 206123.3
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.06675110 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0497s; samplesPerSecond = 205998.9
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.04080124 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0497s; samplesPerSecond = 206106.7
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.05094910 * 10240; EvalClassificationError = 0.34609375 * 10240; time = 0.0498s; samplesPerSecond = 205535.8
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.04351044 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0496s; samplesPerSecond = 206559.9
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.05936279 * 10240; EvalClassificationError = 0.34765625 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.05218353 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0495s; samplesPerSecond = 206948.1
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.06531525 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0499s; samplesPerSecond = 205412.1
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.07295990 * 10240; EvalClassificationError = 0.35146484 * 10240; time = 0.0501s; samplesPerSecond = 204321.9
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.05583344 * 10240; EvalClassificationError = 0.33916016 * 10240; time = 0.0505s; samplesPerSecond = 202728.1
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.04138031 * 10240; EvalClassificationError = 0.33916016 * 10240; time = 0.0502s; samplesPerSecond = 204175.2
08/17/2016 10:07:34:  Epoch[14 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.02825470 * 10240; EvalClassificationError = 0.34179688 * 10240; time = 0.0508s; samplesPerSecond = 201650.2
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.04482727 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0501s; samplesPerSecond = 204268.9
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.04187622 * 10240; EvalClassificationError = 0.33457031 * 10240; time = 0.0504s; samplesPerSecond = 203021.5
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.07632599 * 10240; EvalClassificationError = 0.34697266 * 10240; time = 0.0500s; samplesPerSecond = 205000.9
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.06567383 * 10240; EvalClassificationError = 0.34775391 * 10240; time = 0.0498s; samplesPerSecond = 205729.9
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.07025757 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0498s; samplesPerSecond = 205696.8
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.04342041 * 10240; EvalClassificationError = 0.33652344 * 10240; time = 0.0497s; samplesPerSecond = 205899.5
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.06103210 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0495s; samplesPerSecond = 206910.5
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.04776611 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0498s; samplesPerSecond = 205416.2
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.07929077 * 10240; EvalClassificationError = 0.34687500 * 10240; time = 0.0497s; samplesPerSecond = 206131.6
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.06811523 * 10240; EvalClassificationError = 0.35107422 * 10240; time = 0.0497s; samplesPerSecond = 206206.3
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.06586304 * 10240; EvalClassificationError = 0.34550781 * 10240; time = 0.0497s; samplesPerSecond = 206065.2
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.06608276 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0499s; samplesPerSecond = 205128.2
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.04970398 * 10240; EvalClassificationError = 0.33886719 * 10240; time = 0.0497s; samplesPerSecond = 206023.8
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.08043518 * 10240; EvalClassificationError = 0.34638672 * 10240; time = 0.0496s; samplesPerSecond = 206443.3
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.04773254 * 10240; EvalClassificationError = 0.33593750 * 10240; time = 0.0497s; samplesPerSecond = 206243.7
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.05344543 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0498s; samplesPerSecond = 205692.7
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.04683533 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0503s; samplesPerSecond = 203570.4
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.05659180 * 10240; EvalClassificationError = 0.34531250 * 10240; time = 0.0504s; samplesPerSecond = 203114.2
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.04675903 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0503s; samplesPerSecond = 203485.5
08/17/2016 10:07:35:  Epoch[14 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.06065979 * 10240; EvalClassificationError = 0.34150391 * 10240; time = 0.0503s; samplesPerSecond = 203461.2
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.06184998 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0502s; samplesPerSecond = 203931.3
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.06382751 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0503s; samplesPerSecond = 203777.0
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.05575867 * 10240; EvalClassificationError = 0.34658203 * 10240; time = 0.0501s; samplesPerSecond = 204476.9
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.05930786 * 10240; EvalClassificationError = 0.34873047 * 10240; time = 0.0499s; samplesPerSecond = 205383.3
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.04255066 * 10240; EvalClassificationError = 0.34101562 * 10240; time = 0.0498s; samplesPerSecond = 205705.1
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.05504761 * 10240; EvalClassificationError = 0.34140625 * 10240; time = 0.0498s; samplesPerSecond = 205750.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.06067810 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0496s; samplesPerSecond = 206651.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.06984253 * 10240; EvalClassificationError = 0.34541016 * 10240; time = 0.0498s; samplesPerSecond = 205829.1
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.06416016 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0498s; samplesPerSecond = 205556.4
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.06230469 * 10240; EvalClassificationError = 0.34111328 * 10240; time = 0.0505s; samplesPerSecond = 202848.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.06325684 * 10240; EvalClassificationError = 0.34316406 * 10240; time = 0.0504s; samplesPerSecond = 203102.1
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.07460327 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0503s; samplesPerSecond = 203679.8
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.06474609 * 10240; EvalClassificationError = 0.34794922 * 10240; time = 0.0503s; samplesPerSecond = 203396.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.08442993 * 10240; EvalClassificationError = 0.35117188 * 10240; time = 0.0503s; samplesPerSecond = 203578.5
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.07611694 * 10240; EvalClassificationError = 0.34951172 * 10240; time = 0.0501s; samplesPerSecond = 204236.3
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.07788696 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.05217285 * 10240; EvalClassificationError = 0.34501953 * 10240; time = 0.0504s; samplesPerSecond = 203170.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.07896729 * 10240; EvalClassificationError = 0.34677734 * 10240; time = 0.0503s; samplesPerSecond = 203457.2
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.07769165 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0504s; samplesPerSecond = 203178.6
08/17/2016 10:07:36:  Epoch[14 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.07850342 * 10240; EvalClassificationError = 0.35302734 * 10240; time = 0.0504s; samplesPerSecond = 203239.1
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.05886841 * 10240; EvalClassificationError = 0.34091797 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.04400635 * 10240; EvalClassificationError = 0.34082031 * 10240; time = 0.0503s; samplesPerSecond = 203489.5
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.07420654 * 10240; EvalClassificationError = 0.34990234 * 10240; time = 0.0504s; samplesPerSecond = 203279.5
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.07609863 * 10240; EvalClassificationError = 0.34941406 * 10240; time = 0.0499s; samplesPerSecond = 205210.4
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.07639771 * 10240; EvalClassificationError = 0.34755859 * 10240; time = 0.0497s; samplesPerSecond = 206164.8
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.06004639 * 10240; EvalClassificationError = 0.34345703 * 10240; time = 0.0498s; samplesPerSecond = 205721.6
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.06119995 * 10240; EvalClassificationError = 0.34248047 * 10240; time = 0.0496s; samplesPerSecond = 206252.0
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.07449341 * 10240; EvalClassificationError = 0.34960938 * 10240; time = 0.0500s; samplesPerSecond = 204955.8
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.05432129 * 10240; EvalClassificationError = 0.34160156 * 10240; time = 0.0501s; samplesPerSecond = 204321.9
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.07546387 * 10240; EvalClassificationError = 0.35039063 * 10240; time = 0.0503s; samplesPerSecond = 203542.1
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.06122437 * 10240; EvalClassificationError = 0.33740234 * 10240; time = 0.0502s; samplesPerSecond = 203975.9
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.04970093 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0503s; samplesPerSecond = 203752.7
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.06422119 * 10240; EvalClassificationError = 0.34169922 * 10240; time = 0.0502s; samplesPerSecond = 203829.8
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.08308716 * 10240; EvalClassificationError = 0.35068359 * 10240; time = 0.0502s; samplesPerSecond = 203809.5
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.07770386 * 10240; EvalClassificationError = 0.34726563 * 10240; time = 0.0501s; samplesPerSecond = 204579.1
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.06263428 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0505s; samplesPerSecond = 202828.5
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.08054810 * 10240; EvalClassificationError = 0.34892578 * 10240; time = 0.0503s; samplesPerSecond = 203598.8
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.07431641 * 10240; EvalClassificationError = 0.34833984 * 10240; time = 0.0503s; samplesPerSecond = 203392.5
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.06756592 * 10240; EvalClassificationError = 0.34648438 * 10240; time = 0.0502s; samplesPerSecond = 203959.7
08/17/2016 10:07:37:  Epoch[14 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.07390137 * 10240; EvalClassificationError = 0.35039063 * 10240; time = 0.0504s; samplesPerSecond = 203053.7
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.06070557 * 10240; EvalClassificationError = 0.34726563 * 10240; time = 0.0502s; samplesPerSecond = 204089.8
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.07225342 * 10240; EvalClassificationError = 0.34521484 * 10240; time = 0.0504s; samplesPerSecond = 203029.6
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.06416626 * 10240; EvalClassificationError = 0.33798828 * 10240; time = 0.0502s; samplesPerSecond = 203813.5
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.06503906 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0501s; samplesPerSecond = 204358.6
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.04417725 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0502s; samplesPerSecond = 204073.5
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.06213379 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0496s; samplesPerSecond = 206509.9
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.05201416 * 10240; EvalClassificationError = 0.33730469 * 10240; time = 0.0498s; samplesPerSecond = 205449.2
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.05086670 * 10240; EvalClassificationError = 0.33974609 * 10240; time = 0.0498s; samplesPerSecond = 205614.2
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.07122192 * 10240; EvalClassificationError = 0.34433594 * 10240; time = 0.0499s; samplesPerSecond = 205161.1
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.07168579 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0499s; samplesPerSecond = 205070.7
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.07037354 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0498s; samplesPerSecond = 205535.8
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.07300415 * 10240; EvalClassificationError = 0.34414062 * 10240; time = 0.0498s; samplesPerSecond = 205655.5
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.07435303 * 10240; EvalClassificationError = 0.34511719 * 10240; time = 0.0504s; samplesPerSecond = 203013.5
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.06434937 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0505s; samplesPerSecond = 202748.2
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.08343506 * 10240; EvalClassificationError = 0.34990234 * 10240; time = 0.0503s; samplesPerSecond = 203485.5
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.06470947 * 10240; EvalClassificationError = 0.34570312 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.05629883 * 10240; EvalClassificationError = 0.34570312 * 10240; time = 0.0505s; samplesPerSecond = 202912.9
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.06744385 * 10240; EvalClassificationError = 0.34492187 * 10240; time = 0.0502s; samplesPerSecond = 204154.9
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.08470459 * 10240; EvalClassificationError = 0.34931641 * 10240; time = 0.0504s; samplesPerSecond = 203356.2
08/17/2016 10:07:38:  Epoch[14 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.07745361 * 10240; EvalClassificationError = 0.35136719 * 10240; time = 0.0505s; samplesPerSecond = 202888.8
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.08464355 * 10240; EvalClassificationError = 0.35410156 * 10240; time = 0.0504s; samplesPerSecond = 203202.8
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.06541748 * 10240; EvalClassificationError = 0.34208984 * 10240; time = 0.0506s; samplesPerSecond = 202199.7
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.07131348 * 10240; EvalClassificationError = 0.34384766 * 10240; time = 0.0501s; samplesPerSecond = 204256.7
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.08653564 * 10240; EvalClassificationError = 0.35283203 * 10240; time = 0.0498s; samplesPerSecond = 205474.0
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.06202393 * 10240; EvalClassificationError = 0.34423828 * 10240; time = 0.0498s; samplesPerSecond = 205639.0
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.06091309 * 10240; EvalClassificationError = 0.34277344 * 10240; time = 0.0498s; samplesPerSecond = 205630.7
08/17/2016 10:07:39:  Epoch[14 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.06678467 * 10240; EvalClassificationError = 0.34228516 * 10240; time = 0.0498s; samplesPerSecond = 205825.0
08/17/2016 10:07:39: Finished Epoch[14 of 25]: [Training] CrossEntropyWithSoftmax = 1.06219590 * 1124823; EvalClassificationError = 0.34388166 * 1124823; totalSamplesSeen = 15747522; learningRatePerSample = 0.003125; epochTime=5.70058s
08/17/2016 10:07:39: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.14'

08/17/2016 10:07:39: 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

08/17/2016 10:07:39: Starting minibatch loop.
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.03109093 * 10240; EvalClassificationError = 0.33417969 * 10240; time = 0.0523s; samplesPerSecond = 195722.4
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.04441586 * 10240; EvalClassificationError = 0.33779297 * 10240; time = 0.0503s; samplesPerSecond = 203610.9
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.05139008 * 10240; EvalClassificationError = 0.34023437 * 10240; time = 0.0504s; samplesPerSecond = 203138.3
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.02929897 * 10240; EvalClassificationError = 0.33564453 * 10240; time = 0.0504s; samplesPerSecond = 203158.5
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04728966 * 10240; EvalClassificationError = 0.33652344 * 10240; time = 0.0505s; samplesPerSecond = 202884.8
08/17/2016 10:07:39:  Epoch[15 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.02110252 * 10240; EvalClassificationError = 0.32744141 * 10240; time = 0.0505s; samplesPerSecond = 202752.2
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.02976303 * 10240; EvalClassificationError = 0.33525391 * 10240; time = 0.0503s; samplesPerSecond = 203736.5
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.04170990 * 10240; EvalClassificationError = 0.33945313 * 10240; time = 0.0503s; samplesPerSecond = 203639.3
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.03474426 * 10240; EvalClassificationError = 0.33388672 * 10240; time = 0.0504s; samplesPerSecond = 203186.7
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 1.00864639 * 10240; EvalClassificationError = 0.33310547 * 10240; time = 0.0498s; samplesPerSecond = 205701.0
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 1.03256683 * 10240; EvalClassificationError = 0.33701172 * 10240; time = 0.0498s; samplesPerSecond = 205527.6
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 1.02493057 * 10240; EvalClassificationError = 0.33535156 * 10240; time = 0.0496s; samplesPerSecond = 206484.9
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 1.04791946 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0498s; samplesPerSecond = 205734.0
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.02863922 * 10240; EvalClassificationError = 0.33662109 * 10240; time = 0.0500s; samplesPerSecond = 204644.5
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 1.03765564 * 10240; EvalClassificationError = 0.33857422 * 10240; time = 0.0505s; samplesPerSecond = 202872.7
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 1.02539978 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0505s; samplesPerSecond = 202631.8
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 1.02712860 * 10240; EvalClassificationError = 0.33876953 * 10240; time = 0.0503s; samplesPerSecond = 203558.3
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 1.03396759 * 10240; EvalClassificationError = 0.33476563 * 10240; time = 0.0502s; samplesPerSecond = 204081.6
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 1.03910522 * 10240; EvalClassificationError = 0.33466797 * 10240; time = 0.0504s; samplesPerSecond = 203315.8
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 1.04064789 * 10240; EvalClassificationError = 0.34072266 * 10240; time = 0.0503s; samplesPerSecond = 203376.4
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 1.04849701 * 10240; EvalClassificationError = 0.33945313 * 10240; time = 0.0503s; samplesPerSecond = 203594.7
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 1.03975677 * 10240; EvalClassificationError = 0.33427734 * 10240; time = 0.0503s; samplesPerSecond = 203432.9
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 1.04319000 * 10240; EvalClassificationError = 0.33925781 * 10240; time = 0.0505s; samplesPerSecond = 202900.8
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 1.02843018 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0503s; samplesPerSecond = 203639.3
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 1.02809143 * 10240; EvalClassificationError = 0.33457031 * 10240; time = 0.0504s; samplesPerSecond = 203190.7
08/17/2016 10:07:40:  Epoch[15 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 1.03302002 * 10240; EvalClassificationError = 0.33916016 * 10240; time = 0.0502s; samplesPerSecond = 203910.9
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 1.04170532 * 10240; EvalClassificationError = 0.33906250 * 10240; time = 0.0506s; samplesPerSecond = 202547.7
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 1.03549500 * 10240; EvalClassificationError = 0.33476563 * 10240; time = 0.0502s; samplesPerSecond = 203898.8
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 1.02703857 * 10240; EvalClassificationError = 0.33261719 * 10240; time = 0.0502s; samplesPerSecond = 203992.2
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 1.02605896 * 10240; EvalClassificationError = 0.33173828 * 10240; time = 0.0496s; samplesPerSecond = 206385.0
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 1.05852661 * 10240; EvalClassificationError = 0.34062500 * 10240; time = 0.0498s; samplesPerSecond = 205634.9
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 1.04237976 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0498s; samplesPerSecond = 205804.3
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 1.02971802 * 10240; EvalClassificationError = 0.33759766 * 10240; time = 0.0497s; samplesPerSecond = 205978.2
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 1.03623657 * 10240; EvalClassificationError = 0.33974609 * 10240; time = 0.0498s; samplesPerSecond = 205577.1
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 1.02832031 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0503s; samplesPerSecond = 203517.8
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 1.05401306 * 10240; EvalClassificationError = 0.33984375 * 10240; time = 0.0504s; samplesPerSecond = 203081.9
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 1.04766541 * 10240; EvalClassificationError = 0.33955078 * 10240; time = 0.0504s; samplesPerSecond = 203206.9
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 1.03277893 * 10240; EvalClassificationError = 0.33730469 * 10240; time = 0.0504s; samplesPerSecond = 203206.9
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 1.03034668 * 10240; EvalClassificationError = 0.33134766 * 10240; time = 0.0504s; samplesPerSecond = 203227.0
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 1.03807983 * 10240; EvalClassificationError = 0.33613281 * 10240; time = 0.0503s; samplesPerSecond = 203509.7
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 1.03058472 * 10240; EvalClassificationError = 0.33681641 * 10240; time = 0.0503s; samplesPerSecond = 203481.4
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 1.05863953 * 10240; EvalClassificationError = 0.34726563 * 10240; time = 0.0502s; samplesPerSecond = 204146.7
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 1.03207397 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0503s; samplesPerSecond = 203736.5
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 1.04528503 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0502s; samplesPerSecond = 203821.7
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 1.04949646 * 10240; EvalClassificationError = 0.33828125 * 10240; time = 0.0507s; samplesPerSecond = 201968.4
08/17/2016 10:07:41:  Epoch[15 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 1.03492432 * 10240; EvalClassificationError = 0.33242187 * 10240; time = 0.0503s; samplesPerSecond = 203679.8
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 1.05766602 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0504s; samplesPerSecond = 203239.1
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 1.05805969 * 10240; EvalClassificationError = 0.34599609 * 10240; time = 0.0503s; samplesPerSecond = 203777.0
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 1.04073486 * 10240; EvalClassificationError = 0.33632812 * 10240; time = 0.0502s; samplesPerSecond = 203805.4
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 1.02730408 * 10240; EvalClassificationError = 0.33691406 * 10240; time = 0.0499s; samplesPerSecond = 205366.8
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 1.04528809 * 10240; EvalClassificationError = 0.33994141 * 10240; time = 0.0499s; samplesPerSecond = 205321.5
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 1.05737915 * 10240; EvalClassificationError = 0.34199219 * 10240; time = 0.0499s; samplesPerSecond = 205403.9
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 1.00219727 * 10240; EvalClassificationError = 0.33261719 * 10240; time = 0.0499s; samplesPerSecond = 205037.8
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 1.04749756 * 10240; EvalClassificationError = 0.33857422 * 10240; time = 0.0495s; samplesPerSecond = 206701.7
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 1.02066040 * 10240; EvalClassificationError = 0.33095703 * 10240; time = 0.0496s; samplesPerSecond = 206301.9
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 1.04639282 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0497s; samplesPerSecond = 206198.0
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 1.02122803 * 10240; EvalClassificationError = 0.33447266 * 10240; time = 0.0498s; samplesPerSecond = 205639.0
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 1.06420898 * 10240; EvalClassificationError = 0.34130859 * 10240; time = 0.0498s; samplesPerSecond = 205494.6
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 1.08139038 * 10240; EvalClassificationError = 0.34902344 * 10240; time = 0.0498s; samplesPerSecond = 205692.7
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 1.02722778 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0496s; samplesPerSecond = 206260.3
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 1.04050903 * 10240; EvalClassificationError = 0.33134766 * 10240; time = 0.0497s; samplesPerSecond = 206027.9
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 1.04639893 * 10240; EvalClassificationError = 0.34160156 * 10240; time = 0.0496s; samplesPerSecond = 206289.4
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 1.05097656 * 10240; EvalClassificationError = 0.34443359 * 10240; time = 0.0501s; samplesPerSecond = 204558.6
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 1.05084229 * 10240; EvalClassificationError = 0.34101562 * 10240; time = 0.0503s; samplesPerSecond = 203392.5
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 1.04799194 * 10240; EvalClassificationError = 0.34375000 * 10240; time = 0.0503s; samplesPerSecond = 203748.7
08/17/2016 10:07:42:  Epoch[15 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 1.04291992 * 10240; EvalClassificationError = 0.34326172 * 10240; time = 0.0500s; samplesPerSecond = 204943.5
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 1.03201294 * 10240; EvalClassificationError = 0.33662109 * 10240; time = 0.0505s; samplesPerSecond = 202969.2
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 1.05720215 * 10240; EvalClassificationError = 0.34306641 * 10240; time = 0.0500s; samplesPerSecond = 204644.5
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 1.02926025 * 10240; EvalClassificationError = 0.33437500 * 10240; time = 0.0502s; samplesPerSecond = 204004.4
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 1.05207520 * 10240; EvalClassificationError = 0.34111328 * 10240; time = 0.0501s; samplesPerSecond = 204505.5
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 1.05462646 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0497s; samplesPerSecond = 205882.9
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 1.05368652 * 10240; EvalClassificationError = 0.33710937 * 10240; time = 0.0498s; samplesPerSecond = 205667.9
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 1.03538818 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0499s; samplesPerSecond = 205325.6
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 1.04372559 * 10240; EvalClassificationError = 0.33720703 * 10240; time = 0.0498s; samplesPerSecond = 205593.6
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 1.07719727 * 10240; EvalClassificationError = 0.34990234 * 10240; time = 0.0503s; samplesPerSecond = 203610.9
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 1.03189087 * 10240; EvalClassificationError = 0.33320312 * 10240; time = 0.0505s; samplesPerSecond = 202888.8
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 1.05568237 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0506s; samplesPerSecond = 202507.6
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 1.03263550 * 10240; EvalClassificationError = 0.34189453 * 10240; time = 0.0505s; samplesPerSecond = 202953.1
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 1.02298584 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0503s; samplesPerSecond = 203449.1
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 1.03837280 * 10240; EvalClassificationError = 0.33544922 * 10240; time = 0.0504s; samplesPerSecond = 203106.1
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 1.06808472 * 10240; EvalClassificationError = 0.34589844 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 1.04392700 * 10240; EvalClassificationError = 0.34238281 * 10240; time = 0.0503s; samplesPerSecond = 203404.6
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 1.04804688 * 10240; EvalClassificationError = 0.34169922 * 10240; time = 0.0505s; samplesPerSecond = 202680.0
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 1.06147461 * 10240; EvalClassificationError = 0.34824219 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 1.04497681 * 10240; EvalClassificationError = 0.33847656 * 10240; time = 0.0504s; samplesPerSecond = 203198.8
08/17/2016 10:07:43:  Epoch[15 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 1.06311035 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0503s; samplesPerSecond = 203704.1
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 1.04405518 * 10240; EvalClassificationError = 0.33642578 * 10240; time = 0.0501s; samplesPerSecond = 204309.7
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 1.02413940 * 10240; EvalClassificationError = 0.33359375 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 1.03649902 * 10240; EvalClassificationError = 0.34296875 * 10240; time = 0.0504s; samplesPerSecond = 203210.9
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 1.05627441 * 10240; EvalClassificationError = 0.34355469 * 10240; time = 0.0500s; samplesPerSecond = 204865.6
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 1.04868164 * 10240; EvalClassificationError = 0.33818359 * 10240; time = 0.0498s; samplesPerSecond = 205527.6
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 1.02284546 * 10240; EvalClassificationError = 0.33388672 * 10240; time = 0.0498s; samplesPerSecond = 205424.5
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 1.06660767 * 10240; EvalClassificationError = 0.34121094 * 10240; time = 0.0500s; samplesPerSecond = 204935.3
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 1.07000122 * 10240; EvalClassificationError = 0.34580078 * 10240; time = 0.0502s; samplesPerSecond = 204061.3
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 1.03791504 * 10240; EvalClassificationError = 0.33564453 * 10240; time = 0.0504s; samplesPerSecond = 203247.2
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 1.03207397 * 10240; EvalClassificationError = 0.33212891 * 10240; time = 0.0504s; samplesPerSecond = 203033.6
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 1.05034790 * 10240; EvalClassificationError = 0.34033203 * 10240; time = 0.0505s; samplesPerSecond = 202623.8
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 1.04589844 * 10240; EvalClassificationError = 0.34375000 * 10240; time = 0.0503s; samplesPerSecond = 203400.6
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 1.03859863 * 10240; EvalClassificationError = 0.34003906 * 10240; time = 0.0502s; samplesPerSecond = 203813.5
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 1.03106689 * 10240; EvalClassificationError = 0.33505859 * 10240; time = 0.0505s; samplesPerSecond = 202937.0
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 1.04797363 * 10240; EvalClassificationError = 0.34130859 * 10240; time = 0.0502s; samplesPerSecond = 203801.4
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 1.03273926 * 10240; EvalClassificationError = 0.33066406 * 10240; time = 0.0503s; samplesPerSecond = 203489.5
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 1.01889648 * 10240; EvalClassificationError = 0.33085938 * 10240; time = 0.0504s; samplesPerSecond = 202989.3
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 1.04683838 * 10240; EvalClassificationError = 0.34746094 * 10240; time = 0.0504s; samplesPerSecond = 203259.3
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 1.05134277 * 10240; EvalClassificationError = 0.33720703 * 10240; time = 0.0503s; samplesPerSecond = 203562.3
08/17/2016 10:07:44:  Epoch[15 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 1.04873047 * 10240; EvalClassificationError = 0.34257813 * 10240; time = 0.0504s; samplesPerSecond = 203364.2
08/17/2016 10:07:45:  Epoch[15 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 1.03137207 * 10240; EvalClassificationError = 0.33076172 * 10240; time = 0.0505s; samplesPerSecond = 202916.9
08/17/2016 10:07:45:  Epoch[15 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 1.05281982 * 10240; EvalClassificationError = 0.33964844 * 10240; time = 0.0503s; samplesPerSecond = 203481.4
08/17/2016 10:07:45:  Epoch[15 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 1.05651855 * 10240; EvalClassificationError = 0.33935547 * 10240; time = 0.0502s; samplesPerSecond = 203939.4
08/17/2016 10:07:45: Finished Epoch[15 of 25]: [Training] CrossEntropyWithSoftmax = 1.04120126 * 1124823; EvalClassificationError = 0.33831634 * 1124823; totalSamplesSeen = 16872345; learningRatePerSample = 0.003125; epochTime=5.71204s
08/17/2016 10:07:45: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.15'

08/17/2016 10:07:45: 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

08/17/2016 10:07:45: Starting minibatch loop.
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 1.08669357 * 10240; EvalClassificationError = 0.35322266 * 10240; time = 0.0527s; samplesPerSecond = 194407.0
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 1.18750973 * 10240; EvalClassificationError = 0.38320312 * 10240; time = 0.0508s; samplesPerSecond = 201590.7
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 1.17794056 * 10240; EvalClassificationError = 0.37900391 * 10240; time = 0.0509s; samplesPerSecond = 201202.5
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 1.06134071 * 10240; EvalClassificationError = 0.34394531 * 10240; time = 0.0511s; samplesPerSecond = 200407.1
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 1.04442139 * 10240; EvalClassificationError = 0.34335938 * 10240; time = 0.0509s; samplesPerSecond = 201076.1
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 1.05194664 * 10240; EvalClassificationError = 0.33867188 * 10240; time = 0.0503s; samplesPerSecond = 203647.4
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 1.02488861 * 10240; EvalClassificationError = 0.33359375 * 10240; time = 0.0509s; samplesPerSecond = 201080.0
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 1.00035782 * 10240; EvalClassificationError = 0.33085938 * 10240; time = 0.0508s; samplesPerSecond = 201384.5
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 1.00429153 * 10240; EvalClassificationError = 0.32890625 * 10240; time = 0.0510s; samplesPerSecond = 200965.6
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.99335632 * 10240; EvalClassificationError = 0.31923828 * 10240; time = 0.0508s; samplesPerSecond = 201701.9
08/17/2016 10:07:45:  Epoch[16 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.96563416 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0505s; samplesPerSecond = 202595.8
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.97528610 * 10240; EvalClassificationError = 0.31962891 * 10240; time = 0.0506s; samplesPerSecond = 202307.6
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.98145676 * 10240; EvalClassificationError = 0.32187500 * 10240; time = 0.0508s; samplesPerSecond = 201701.9
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 1.00105743 * 10240; EvalClassificationError = 0.32578125 * 10240; time = 0.0520s; samplesPerSecond = 196767.9
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.99792786 * 10240; EvalClassificationError = 0.32705078 * 10240; time = 0.0508s; samplesPerSecond = 201741.6
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.96750336 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0506s; samplesPerSecond = 202203.7
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.96455994 * 10240; EvalClassificationError = 0.31406250 * 10240; time = 0.0507s; samplesPerSecond = 201908.7
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.97138214 * 10240; EvalClassificationError = 0.31494141 * 10240; time = 0.0512s; samplesPerSecond = 200156.4
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.98388977 * 10240; EvalClassificationError = 0.32177734 * 10240; time = 0.0506s; samplesPerSecond = 202567.7
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.97548828 * 10240; EvalClassificationError = 0.31728516 * 10240; time = 0.0508s; samplesPerSecond = 201650.2
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.97323608 * 10240; EvalClassificationError = 0.31484375 * 10240; time = 0.0507s; samplesPerSecond = 201908.7
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.96440735 * 10240; EvalClassificationError = 0.31875000 * 10240; time = 0.0505s; samplesPerSecond = 202680.0
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.96758270 * 10240; EvalClassificationError = 0.31523438 * 10240; time = 0.0509s; samplesPerSecond = 201076.1
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.97711792 * 10240; EvalClassificationError = 0.31562500 * 10240; time = 0.0511s; samplesPerSecond = 200230.7
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.98170929 * 10240; EvalClassificationError = 0.31464844 * 10240; time = 0.0509s; samplesPerSecond = 201305.3
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.95255280 * 10240; EvalClassificationError = 0.31289062 * 10240; time = 0.0507s; samplesPerSecond = 202068.0
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.95425110 * 10240; EvalClassificationError = 0.31191406 * 10240; time = 0.0509s; samplesPerSecond = 201289.5
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.96056213 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0508s; samplesPerSecond = 201618.5
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.97964478 * 10240; EvalClassificationError = 0.31386719 * 10240; time = 0.0510s; samplesPerSecond = 200867.0
08/17/2016 10:07:46:  Epoch[16 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.98536072 * 10240; EvalClassificationError = 0.32207031 * 10240; time = 0.0513s; samplesPerSecond = 199668.5
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.96044312 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0506s; samplesPerSecond = 202255.6
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94812622 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0506s; samplesPerSecond = 202495.6
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.95376587 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0505s; samplesPerSecond = 202872.7
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.94020996 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0503s; samplesPerSecond = 203530.0
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.97214050 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0507s; samplesPerSecond = 201880.8
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.96696167 * 10240; EvalClassificationError = 0.31240234 * 10240; time = 0.0515s; samplesPerSecond = 198769.3
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.94619446 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0513s; samplesPerSecond = 199497.4
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.95406799 * 10240; EvalClassificationError = 0.30791016 * 10240; time = 0.0509s; samplesPerSecond = 201293.5
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.97258301 * 10240; EvalClassificationError = 0.31621094 * 10240; time = 0.0512s; samplesPerSecond = 200093.8
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.94886475 * 10240; EvalClassificationError = 0.30986328 * 10240; time = 0.0507s; samplesPerSecond = 202076.0
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.95410461 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0512s; samplesPerSecond = 199898.5
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.96598511 * 10240; EvalClassificationError = 0.31708984 * 10240; time = 0.0506s; samplesPerSecond = 202551.7
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.94496155 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0513s; samplesPerSecond = 199547.9
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.95434875 * 10240; EvalClassificationError = 0.30869141 * 10240; time = 0.0515s; samplesPerSecond = 198912.2
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.97209473 * 10240; EvalClassificationError = 0.31875000 * 10240; time = 0.0514s; samplesPerSecond = 199342.0
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.95423279 * 10240; EvalClassificationError = 0.31162109 * 10240; time = 0.0513s; samplesPerSecond = 199555.7
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.94185791 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0514s; samplesPerSecond = 199175.3
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.97272339 * 10240; EvalClassificationError = 0.31777344 * 10240; time = 0.0511s; samplesPerSecond = 200266.0
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.96640320 * 10240; EvalClassificationError = 0.31210938 * 10240; time = 0.0513s; samplesPerSecond = 199528.5
08/17/2016 10:07:47:  Epoch[16 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.96216125 * 10240; EvalClassificationError = 0.31484375 * 10240; time = 0.0512s; samplesPerSecond = 200043.0
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.95684204 * 10240; EvalClassificationError = 0.31416016 * 10240; time = 0.0513s; samplesPerSecond = 199769.8
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.95441895 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0510s; samplesPerSecond = 200733.1
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.96475220 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0508s; samplesPerSecond = 201686.0
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.96988525 * 10240; EvalClassificationError = 0.31777344 * 10240; time = 0.0502s; samplesPerSecond = 204053.2
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.93848267 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0503s; samplesPerSecond = 203546.2
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93583984 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0504s; samplesPerSecond = 203017.5
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.96304932 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0505s; samplesPerSecond = 202969.2
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.95350342 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0503s; samplesPerSecond = 203521.9
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93313599 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0505s; samplesPerSecond = 202892.8
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.94227295 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0503s; samplesPerSecond = 203521.9
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94148560 * 10240; EvalClassificationError = 0.30966797 * 10240; time = 0.0502s; samplesPerSecond = 204036.9
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93071899 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0502s; samplesPerSecond = 203797.3
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.94887085 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0501s; samplesPerSecond = 204448.3
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.95802612 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0502s; samplesPerSecond = 203817.6
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.94262085 * 10240; EvalClassificationError = 0.30917969 * 10240; time = 0.0503s; samplesPerSecond = 203432.9
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.95769653 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0504s; samplesPerSecond = 203323.9
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92760010 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0511s; samplesPerSecond = 200266.0
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93151245 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0511s; samplesPerSecond = 200320.8
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.95941772 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0511s; samplesPerSecond = 200297.3
08/17/2016 10:07:48:  Epoch[16 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94167480 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0509s; samplesPerSecond = 201297.4
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.96248169 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0513s; samplesPerSecond = 199551.8
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91846313 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0516s; samplesPerSecond = 198584.3
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.94569092 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0511s; samplesPerSecond = 200469.9
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.95977783 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0510s; samplesPerSecond = 200867.0
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.93281250 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0504s; samplesPerSecond = 203186.7
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.95877686 * 10240; EvalClassificationError = 0.31142578 * 10240; time = 0.0506s; samplesPerSecond = 202303.6
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.95685425 * 10240; EvalClassificationError = 0.30683594 * 10240; time = 0.0506s; samplesPerSecond = 202515.6
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94652710 * 10240; EvalClassificationError = 0.31025391 * 10240; time = 0.0515s; samplesPerSecond = 198669.1
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.94829712 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0514s; samplesPerSecond = 199400.2
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.96289673 * 10240; EvalClassificationError = 0.31269531 * 10240; time = 0.0514s; samplesPerSecond = 199082.4
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.94378662 * 10240; EvalClassificationError = 0.30927734 * 10240; time = 0.0513s; samplesPerSecond = 199579.0
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94685669 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0516s; samplesPerSecond = 198603.6
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.94401855 * 10240; EvalClassificationError = 0.30917969 * 10240; time = 0.0515s; samplesPerSecond = 198954.7
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.94200439 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0513s; samplesPerSecond = 199466.3
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.94956055 * 10240; EvalClassificationError = 0.31201172 * 10240; time = 0.0514s; samplesPerSecond = 199097.8
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.93562012 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0515s; samplesPerSecond = 198750.0
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.91964111 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0507s; samplesPerSecond = 201856.9
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92229004 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0512s; samplesPerSecond = 199949.2
08/17/2016 10:07:49:  Epoch[16 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.93734131 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0511s; samplesPerSecond = 200560.2
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93281250 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0511s; samplesPerSecond = 200250.3
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.95714111 * 10240; EvalClassificationError = 0.30791016 * 10240; time = 0.0511s; samplesPerSecond = 200199.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.94405518 * 10240; EvalClassificationError = 0.31132813 * 10240; time = 0.0511s; samplesPerSecond = 200395.3
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.94641113 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0501s; samplesPerSecond = 204277.1
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.94455566 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0503s; samplesPerSecond = 203570.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.95166016 * 10240; EvalClassificationError = 0.31171875 * 10240; time = 0.0505s; samplesPerSecond = 202631.8
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92563477 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0503s; samplesPerSecond = 203610.9
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.95714722 * 10240; EvalClassificationError = 0.31289062 * 10240; time = 0.0503s; samplesPerSecond = 203712.2
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.94007568 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0504s; samplesPerSecond = 203267.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95380859 * 10240; EvalClassificationError = 0.31015625 * 10240; time = 0.0504s; samplesPerSecond = 203287.5
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.93045654 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0515s; samplesPerSecond = 198896.7
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.94000244 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0510s; samplesPerSecond = 200938.0
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.95016479 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0512s; samplesPerSecond = 200136.8
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.94717407 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0513s; samplesPerSecond = 199715.2
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.93744507 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0515s; samplesPerSecond = 198989.5
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94879150 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0511s; samplesPerSecond = 200548.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.94403687 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0514s; samplesPerSecond = 199132.7
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94836426 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0513s; samplesPerSecond = 199602.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.94649658 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0513s; samplesPerSecond = 199672.4
08/17/2016 10:07:50:  Epoch[16 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.93824463 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0515s; samplesPerSecond = 198962.4
08/17/2016 10:07:51: Finished Epoch[16 of 25]: [Training] CrossEntropyWithSoftmax = 0.96343447 * 1124823; EvalClassificationError = 0.31243405 * 1124823; totalSamplesSeen = 17997168; learningRatePerSample = 7.8124998e-05; epochTime=5.77748s
08/17/2016 10:07:51: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.16'

08/17/2016 10:07:51: 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

08/17/2016 10:07:51: Starting minibatch loop.
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.94561024 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0516s; samplesPerSecond = 198399.6
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.94090424 * 10240; EvalClassificationError = 0.30820313 * 10240; time = 0.0498s; samplesPerSecond = 205486.3
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.94104862 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0499s; samplesPerSecond = 205083.0
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.95765305 * 10240; EvalClassificationError = 0.31396484 * 10240; time = 0.0504s; samplesPerSecond = 203368.3
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.95816994 * 10240; EvalClassificationError = 0.30859375 * 10240; time = 0.0505s; samplesPerSecond = 202607.8
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93951759 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0505s; samplesPerSecond = 202720.1
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.93701744 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.93621063 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0507s; samplesPerSecond = 201841.0
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93693314 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0506s; samplesPerSecond = 202451.6
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92395935 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0506s; samplesPerSecond = 202231.7
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93820343 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0505s; samplesPerSecond = 202623.8
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92982712 * 10240; EvalClassificationError = 0.30244141 * 10240; time = 0.0506s; samplesPerSecond = 202543.7
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.94314728 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0505s; samplesPerSecond = 202864.7
08/17/2016 10:07:51:  Epoch[17 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91733017 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0507s; samplesPerSecond = 201992.3
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.96925507 * 10240; EvalClassificationError = 0.31142578 * 10240; time = 0.0508s; samplesPerSecond = 201475.7
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.94365082 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0505s; samplesPerSecond = 202904.9
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93446503 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0499s; samplesPerSecond = 205091.2
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.95349579 * 10240; EvalClassificationError = 0.30810547 * 10240; time = 0.0500s; samplesPerSecond = 204824.6
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.93515625 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0498s; samplesPerSecond = 205816.7
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.94800110 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0500s; samplesPerSecond = 204902.5
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93655396 * 10240; EvalClassificationError = 0.30966797 * 10240; time = 0.0499s; samplesPerSecond = 205370.9
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92579651 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.94548492 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0508s; samplesPerSecond = 201416.2
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.95282288 * 10240; EvalClassificationError = 0.31054688 * 10240; time = 0.0509s; samplesPerSecond = 201265.8
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.93443146 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0507s; samplesPerSecond = 201960.4
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.94397430 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0507s; samplesPerSecond = 202111.9
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92283630 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0505s; samplesPerSecond = 202828.5
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.95758514 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0508s; samplesPerSecond = 201606.6
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.96140442 * 10240; EvalClassificationError = 0.30673828 * 10240; time = 0.0506s; samplesPerSecond = 202495.6
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.93256531 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0507s; samplesPerSecond = 201956.5
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.94337158 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0506s; samplesPerSecond = 202427.5
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92688293 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0507s; samplesPerSecond = 201876.8
08/17/2016 10:07:52:  Epoch[17 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93871765 * 10240; EvalClassificationError = 0.30996094 * 10240; time = 0.0547s; samplesPerSecond = 187302.2
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.92835083 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0514s; samplesPerSecond = 199330.4
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.93576660 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0512s; samplesPerSecond = 200074.2
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92211304 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0507s; samplesPerSecond = 201829.1
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92863464 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0506s; samplesPerSecond = 202447.6
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93194275 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0510s; samplesPerSecond = 200807.9
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.94233398 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0507s; samplesPerSecond = 201821.1
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92786865 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0503s; samplesPerSecond = 203777.0
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.93405762 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0505s; samplesPerSecond = 202929.0
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92717590 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0508s; samplesPerSecond = 201436.0
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.95268250 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0508s; samplesPerSecond = 201555.0
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92503967 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0506s; samplesPerSecond = 202271.6
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93505249 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0504s; samplesPerSecond = 203146.4
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.95173950 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0508s; samplesPerSecond = 201451.9
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93252563 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0508s; samplesPerSecond = 201392.4
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91827087 * 10240; EvalClassificationError = 0.29257813 * 10240; time = 0.0509s; samplesPerSecond = 201052.4
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93249817 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0507s; samplesPerSecond = 201777.4
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92020874 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0509s; samplesPerSecond = 201040.5
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93165588 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0508s; samplesPerSecond = 201717.8
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.92751160 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0508s; samplesPerSecond = 201697.9
08/17/2016 10:07:53:  Epoch[17 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94537659 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93112793 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0508s; samplesPerSecond = 201483.6
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.94943848 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0505s; samplesPerSecond = 202615.8
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.95314941 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0504s; samplesPerSecond = 203126.2
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93364868 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0499s; samplesPerSecond = 205226.9
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92866821 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0500s; samplesPerSecond = 204685.4
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.95333252 * 10240; EvalClassificationError = 0.30966797 * 10240; time = 0.0501s; samplesPerSecond = 204485.1
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91239624 * 10240; EvalClassificationError = 0.29306641 * 10240; time = 0.0510s; samplesPerSecond = 200717.4
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94439087 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0507s; samplesPerSecond = 201781.4
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93244629 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0505s; samplesPerSecond = 202615.8
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91922607 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0507s; samplesPerSecond = 201849.0
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93858643 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0505s; samplesPerSecond = 202651.9
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.94984741 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0505s; samplesPerSecond = 202716.1
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.93154907 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0505s; samplesPerSecond = 202659.9
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93456421 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93491821 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0508s; samplesPerSecond = 201424.1
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92184448 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0509s; samplesPerSecond = 201372.6
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94829102 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0507s; samplesPerSecond = 202076.0
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.93400879 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0506s; samplesPerSecond = 202319.6
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91239014 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0507s; samplesPerSecond = 202024.2
08/17/2016 10:07:54:  Epoch[17 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93941650 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0505s; samplesPerSecond = 202712.1
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.91537476 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0507s; samplesPerSecond = 202044.1
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91256104 * 10240; EvalClassificationError = 0.29335937 * 10240; time = 0.0505s; samplesPerSecond = 202800.4
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.92202759 * 10240; EvalClassificationError = 0.29677734 * 10240; time = 0.0502s; samplesPerSecond = 204130.5
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.94268188 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0500s; samplesPerSecond = 204943.5
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94051514 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0500s; samplesPerSecond = 204996.8
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.94282837 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0500s; samplesPerSecond = 204935.3
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.91839600 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0504s; samplesPerSecond = 203073.9
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93386841 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0507s; samplesPerSecond = 201952.5
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94666748 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0505s; samplesPerSecond = 202888.8
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.92009888 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0507s; samplesPerSecond = 201996.3
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92931519 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0505s; samplesPerSecond = 202961.2
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.93579712 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0507s; samplesPerSecond = 201996.3
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.94343872 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0506s; samplesPerSecond = 202531.6
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.95716553 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0507s; samplesPerSecond = 202127.9
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93025513 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0507s; samplesPerSecond = 201984.3
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.92143555 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0508s; samplesPerSecond = 201455.8
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93628540 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.93007812 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0506s; samplesPerSecond = 202219.7
08/17/2016 10:07:55:  Epoch[17 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.95108032 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0505s; samplesPerSecond = 202591.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92246704 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0507s; samplesPerSecond = 201964.4
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.94820557 * 10240; EvalClassificationError = 0.30761719 * 10240; time = 0.0506s; samplesPerSecond = 202263.6
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.94890747 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0507s; samplesPerSecond = 202008.2
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93142700 * 10240; EvalClassificationError = 0.30976562 * 10240; time = 0.0499s; samplesPerSecond = 205070.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93087769 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0501s; samplesPerSecond = 204485.1
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91325073 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0501s; samplesPerSecond = 204521.9
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.94110107 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0500s; samplesPerSecond = 204701.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92352295 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.93624878 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0509s; samplesPerSecond = 201084.0
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.94372559 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0505s; samplesPerSecond = 202643.9
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.92342529 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0506s; samplesPerSecond = 202455.6
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92313232 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.95395508 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0506s; samplesPerSecond = 202227.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92636108 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0508s; samplesPerSecond = 201590.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.93025513 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0506s; samplesPerSecond = 202191.7
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93550415 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0507s; samplesPerSecond = 202171.8
08/17/2016 10:07:56:  Epoch[17 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94322510 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0508s; samplesPerSecond = 201408.3
08/17/2016 10:07:56: Finished Epoch[17 of 25]: [Training] CrossEntropyWithSoftmax = 0.93576245 * 1124823; EvalClassificationError = 0.30337751 * 1124823; totalSamplesSeen = 19121991; learningRatePerSample = 7.8124998e-05; epochTime=5.75553s
08/17/2016 10:07:56: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.17'

08/17/2016 10:07:56: 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

08/17/2016 10:07:57: Starting minibatch loop.
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93793898 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0517s; samplesPerSecond = 198054.3
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92008104 * 10240; EvalClassificationError = 0.30039063 * 10240; time = 0.0499s; samplesPerSecond = 205009.1
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92151718 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0500s; samplesPerSecond = 204939.4
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.94528046 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0500s; samplesPerSecond = 204980.4
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92836990 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0497s; samplesPerSecond = 205994.8
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.89247017 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0499s; samplesPerSecond = 205148.8
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92666664 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0503s; samplesPerSecond = 203384.4
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.93417206 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0506s; samplesPerSecond = 202367.5
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93674393 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0504s; samplesPerSecond = 203005.4
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93606110 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0504s; samplesPerSecond = 203223.0
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.95353165 * 10240; EvalClassificationError = 0.31142578 * 10240; time = 0.0498s; samplesPerSecond = 205705.1
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.90381088 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0498s; samplesPerSecond = 205742.3
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.93584290 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0497s; samplesPerSecond = 205974.1
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.94867706 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0501s; samplesPerSecond = 204521.9
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92750702 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0499s; samplesPerSecond = 205231.0
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91531219 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0499s; samplesPerSecond = 205370.9
08/17/2016 10:07:57:  Epoch[18 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.92668152 * 10240; EvalClassificationError = 0.31035156 * 10240; time = 0.0499s; samplesPerSecond = 205247.4
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92448578 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0499s; samplesPerSecond = 205074.8
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.93550873 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0500s; samplesPerSecond = 204808.2
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.90140228 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0505s; samplesPerSecond = 202603.8
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91149597 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0500s; samplesPerSecond = 204882.0
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.93589325 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0501s; samplesPerSecond = 204472.8
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92150726 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0500s; samplesPerSecond = 204824.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91244965 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0502s; samplesPerSecond = 204073.5
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.95250549 * 10240; EvalClassificationError = 0.31318359 * 10240; time = 0.0500s; samplesPerSecond = 204865.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.92094421 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0498s; samplesPerSecond = 205428.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.95754852 * 10240; EvalClassificationError = 0.30869141 * 10240; time = 0.0498s; samplesPerSecond = 205816.7
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.93312531 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0499s; samplesPerSecond = 205235.1
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.94131775 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0506s; samplesPerSecond = 202267.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.93471375 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0506s; samplesPerSecond = 202519.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93739624 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0505s; samplesPerSecond = 202676.0
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94017029 * 10240; EvalClassificationError = 0.30546875 * 10240; time = 0.0506s; samplesPerSecond = 202227.7
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.94074402 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0506s; samplesPerSecond = 202319.6
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91986084 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0506s; samplesPerSecond = 202559.7
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92508850 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0505s; samplesPerSecond = 202740.2
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92027588 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0507s; samplesPerSecond = 202135.8
08/17/2016 10:07:58:  Epoch[18 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.93848267 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0504s; samplesPerSecond = 203162.5
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.92049561 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0502s; samplesPerSecond = 204036.9
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.93609009 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0508s; samplesPerSecond = 201650.2
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92811584 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0504s; samplesPerSecond = 203307.7
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92417908 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0500s; samplesPerSecond = 204988.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92989502 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0500s; samplesPerSecond = 204693.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.95068359 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0499s; samplesPerSecond = 205350.3
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.95082703 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0504s; samplesPerSecond = 203025.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.94101868 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0505s; samplesPerSecond = 202876.7
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92908630 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.90306702 * 10240; EvalClassificationError = 0.29082031 * 10240; time = 0.0504s; samplesPerSecond = 203094.0
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91976624 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0506s; samplesPerSecond = 202435.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93815613 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0504s; samplesPerSecond = 203259.3
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92132874 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93336182 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0506s; samplesPerSecond = 202335.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.94273071 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.93706055 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0507s; samplesPerSecond = 201809.2
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.92679443 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0507s; samplesPerSecond = 201960.4
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.94473877 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0508s; samplesPerSecond = 201674.1
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.92394104 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0506s; samplesPerSecond = 202559.7
08/17/2016 10:07:59:  Epoch[18 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91586914 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0505s; samplesPerSecond = 202768.3
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.94403076 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0508s; samplesPerSecond = 201376.6
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91973267 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0506s; samplesPerSecond = 202295.6
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.94827271 * 10240; EvalClassificationError = 0.30839844 * 10240; time = 0.0502s; samplesPerSecond = 203886.6
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.90937500 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0497s; samplesPerSecond = 206065.2
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92772217 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0496s; samplesPerSecond = 206534.9
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92041626 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0498s; samplesPerSecond = 205796.1
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.95759277 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0497s; samplesPerSecond = 205895.4
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91835937 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0498s; samplesPerSecond = 205502.8
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91537476 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0499s; samplesPerSecond = 205128.2
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93613892 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0503s; samplesPerSecond = 203465.3
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93244629 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0504s; samplesPerSecond = 203138.3
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93473511 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0505s; samplesPerSecond = 202740.2
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92736816 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0507s; samplesPerSecond = 201856.9
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92835693 * 10240; EvalClassificationError = 0.30654297 * 10240; time = 0.0507s; samplesPerSecond = 201984.3
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93957520 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0505s; samplesPerSecond = 202828.5
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92933960 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0507s; samplesPerSecond = 201896.7
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.94431763 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0506s; samplesPerSecond = 202375.5
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.95366821 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0506s; samplesPerSecond = 202375.5
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.94747925 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0506s; samplesPerSecond = 202271.6
08/17/2016 10:08:00:  Epoch[18 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.94442749 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0506s; samplesPerSecond = 202383.5
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90740356 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0507s; samplesPerSecond = 202016.2
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91783447 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0503s; samplesPerSecond = 203691.9
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93109741 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0498s; samplesPerSecond = 205630.7
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92761841 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0499s; samplesPerSecond = 205251.6
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92619019 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0501s; samplesPerSecond = 204530.0
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.93278809 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0507s; samplesPerSecond = 201821.1
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92734985 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0503s; samplesPerSecond = 203700.0
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.91958618 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0507s; samplesPerSecond = 202024.2
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.95334473 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0506s; samplesPerSecond = 202531.6
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.90509033 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0508s; samplesPerSecond = 201566.9
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92229614 * 10240; EvalClassificationError = 0.29462891 * 10240; time = 0.0506s; samplesPerSecond = 202515.6
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91871948 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0506s; samplesPerSecond = 202207.7
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.89673462 * 10240; EvalClassificationError = 0.29316406 * 10240; time = 0.0505s; samplesPerSecond = 202720.1
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91923218 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0507s; samplesPerSecond = 202096.0
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92763062 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0503s; samplesPerSecond = 203558.3
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91442871 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0506s; samplesPerSecond = 202451.6
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.92000732 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0506s; samplesPerSecond = 202467.6
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.95462036 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0507s; samplesPerSecond = 202028.2
08/17/2016 10:08:01:  Epoch[18 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93839111 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0507s; samplesPerSecond = 202004.3
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91789551 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0506s; samplesPerSecond = 202531.6
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.94406738 * 10240; EvalClassificationError = 0.30927734 * 10240; time = 0.0507s; samplesPerSecond = 202080.0
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.93504028 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0506s; samplesPerSecond = 202547.7
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92918091 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0498s; samplesPerSecond = 205639.0
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.95695190 * 10240; EvalClassificationError = 0.31406250 * 10240; time = 0.0500s; samplesPerSecond = 204648.6
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.95604858 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0497s; samplesPerSecond = 205961.6
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91879272 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0503s; samplesPerSecond = 203412.7
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92695923 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.93680420 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0506s; samplesPerSecond = 202183.7
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.91816406 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0506s; samplesPerSecond = 202187.7
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91207275 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0508s; samplesPerSecond = 201757.5
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93486328 * 10240; EvalClassificationError = 0.30859375 * 10240; time = 0.0503s; samplesPerSecond = 203756.8
08/17/2016 10:08:02:  Epoch[18 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94626465 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0506s; samplesPerSecond = 202251.6
08/17/2016 10:08:02: Finished Epoch[18 of 25]: [Training] CrossEntropyWithSoftmax = 0.93007044 * 1124823; EvalClassificationError = 0.30160034 * 1124823; totalSamplesSeen = 20246814; learningRatePerSample = 7.8124998e-05; epochTime=5.72703s
08/17/2016 10:08:02: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.18'

08/17/2016 10:08:02: 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

08/17/2016 10:08:02: Starting minibatch loop.
08/17/2016 10:08:02:  Epoch[19 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.90926056 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0525s; samplesPerSecond = 194973.3
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.93177147 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0507s; samplesPerSecond = 202099.9
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92697754 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0505s; samplesPerSecond = 202631.8
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.93247375 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0505s; samplesPerSecond = 202828.5
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.94439850 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0500s; samplesPerSecond = 204890.2
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.92154350 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0499s; samplesPerSecond = 205169.3
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.94494781 * 10240; EvalClassificationError = 0.31240234 * 10240; time = 0.0500s; samplesPerSecond = 204836.9
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92164078 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0499s; samplesPerSecond = 205408.0
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93210449 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0498s; samplesPerSecond = 205474.0
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93810196 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0498s; samplesPerSecond = 205738.2
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93597260 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.91282654 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0500s; samplesPerSecond = 204832.8
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.93009186 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0501s; samplesPerSecond = 204203.7
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91789627 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0501s; samplesPerSecond = 204403.5
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92675629 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0498s; samplesPerSecond = 205531.7
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.90922699 * 10240; EvalClassificationError = 0.28994141 * 10240; time = 0.0500s; samplesPerSecond = 204791.8
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93324738 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0498s; samplesPerSecond = 205469.8
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.90176392 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0507s; samplesPerSecond = 201781.4
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91077728 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0506s; samplesPerSecond = 202347.5
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.92938232 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0507s; samplesPerSecond = 201845.0
08/17/2016 10:08:03:  Epoch[19 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93281097 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0505s; samplesPerSecond = 202957.1
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92824249 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0505s; samplesPerSecond = 202607.8
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92614441 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0505s; samplesPerSecond = 202888.8
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91249695 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0505s; samplesPerSecond = 202575.7
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.92224884 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0500s; samplesPerSecond = 205000.9
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.95140991 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0500s; samplesPerSecond = 204894.3
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.93713074 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0498s; samplesPerSecond = 205618.4
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92409058 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0498s; samplesPerSecond = 205544.1
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93905334 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0499s; samplesPerSecond = 205181.6
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91201477 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0500s; samplesPerSecond = 204750.9
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91077576 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0504s; samplesPerSecond = 203073.9
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.94880676 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0507s; samplesPerSecond = 202040.1
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93736877 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0506s; samplesPerSecond = 202547.7
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.94531555 * 10240; EvalClassificationError = 0.30957031 * 10240; time = 0.0505s; samplesPerSecond = 202852.6
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92744141 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0506s; samplesPerSecond = 202435.6
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92780457 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0507s; samplesPerSecond = 201852.9
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92144775 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0506s; samplesPerSecond = 202491.6
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.92720032 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0507s; samplesPerSecond = 202171.8
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.93160095 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0507s; samplesPerSecond = 201920.6
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91830139 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0508s; samplesPerSecond = 201693.9
08/17/2016 10:08:04:  Epoch[19 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92072144 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0505s; samplesPerSecond = 202720.1
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.93061523 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0507s; samplesPerSecond = 201912.6
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92719421 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0505s; samplesPerSecond = 202780.3
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.93511353 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0500s; samplesPerSecond = 204771.3
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.90795593 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0500s; samplesPerSecond = 204890.2
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92103882 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0500s; samplesPerSecond = 204693.6
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.92523193 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0498s; samplesPerSecond = 205705.1
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91119995 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0502s; samplesPerSecond = 204175.2
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.93336487 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0505s; samplesPerSecond = 202627.8
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.93553772 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0508s; samplesPerSecond = 201396.4
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.94244690 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0509s; samplesPerSecond = 201044.5
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90293274 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0506s; samplesPerSecond = 202275.6
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91619263 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0508s; samplesPerSecond = 201753.5
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93701477 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0506s; samplesPerSecond = 202471.6
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91744995 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0507s; samplesPerSecond = 202107.9
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.90733032 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0507s; samplesPerSecond = 201968.4
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.92212524 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0505s; samplesPerSecond = 202704.0
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92498779 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0510s; samplesPerSecond = 200721.3
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.92584229 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0506s; samplesPerSecond = 202523.6
08/17/2016 10:08:05:  Epoch[19 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.93733521 * 10240; EvalClassificationError = 0.29248047 * 10240; time = 0.0508s; samplesPerSecond = 201610.5
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.93381348 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0508s; samplesPerSecond = 201689.9
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92757568 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0507s; samplesPerSecond = 201940.5
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92387085 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0506s; samplesPerSecond = 202227.7
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.91134033 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0499s; samplesPerSecond = 205309.2
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.93504639 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0501s; samplesPerSecond = 204546.4
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91787720 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0500s; samplesPerSecond = 204845.1
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91511841 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0499s; samplesPerSecond = 205120.0
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93370361 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0499s; samplesPerSecond = 205128.2
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93406982 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0499s; samplesPerSecond = 205152.9
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92836914 * 10240; EvalClassificationError = 0.30625000 * 10240; time = 0.0500s; samplesPerSecond = 204603.6
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92163696 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0505s; samplesPerSecond = 202607.8
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.92915039 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0506s; samplesPerSecond = 202531.6
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92578125 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0506s; samplesPerSecond = 202563.7
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92861328 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0506s; samplesPerSecond = 202415.5
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91513062 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91122437 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0505s; samplesPerSecond = 202663.9
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91814575 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0507s; samplesPerSecond = 202096.0
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94033813 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0510s; samplesPerSecond = 200756.8
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.92601929 * 10240; EvalClassificationError = 0.30527344 * 10240; time = 0.0509s; samplesPerSecond = 201281.6
08/17/2016 10:08:06:  Epoch[19 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93981323 * 10240; EvalClassificationError = 0.31279297 * 10240; time = 0.0505s; samplesPerSecond = 202756.2
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92760620 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0505s; samplesPerSecond = 202800.4
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.89567871 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0505s; samplesPerSecond = 202595.8
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.95091553 * 10240; EvalClassificationError = 0.30751953 * 10240; time = 0.0503s; samplesPerSecond = 203764.9
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.93628540 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0501s; samplesPerSecond = 204232.2
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.93333130 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0500s; samplesPerSecond = 204869.7
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92197876 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0498s; samplesPerSecond = 205469.8
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.93332520 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0499s; samplesPerSecond = 205202.2
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.91108398 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0499s; samplesPerSecond = 205013.2
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.93471680 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0497s; samplesPerSecond = 205887.1
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.92820435 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0501s; samplesPerSecond = 204207.8
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92210693 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0506s; samplesPerSecond = 202203.7
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93551636 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0504s; samplesPerSecond = 203348.1
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92309570 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0506s; samplesPerSecond = 202391.5
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.93654785 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0504s; samplesPerSecond = 203045.7
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.91159058 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0507s; samplesPerSecond = 201833.1
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.90555420 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0508s; samplesPerSecond = 201614.5
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.94533691 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0509s; samplesPerSecond = 201218.3
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91802979 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0506s; samplesPerSecond = 202215.7
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95485840 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0507s; samplesPerSecond = 202052.1
08/17/2016 10:08:07:  Epoch[19 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.93844604 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0507s; samplesPerSecond = 202036.1
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.94225464 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0505s; samplesPerSecond = 202635.8
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91259766 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0507s; samplesPerSecond = 202072.0
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.93124390 * 10240; EvalClassificationError = 0.30732422 * 10240; time = 0.0502s; samplesPerSecond = 204012.5
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92067261 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0500s; samplesPerSecond = 204857.4
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94815674 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0499s; samplesPerSecond = 205329.8
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92955933 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0503s; samplesPerSecond = 203546.2
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94716187 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0500s; samplesPerSecond = 204771.3
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93363037 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0506s; samplesPerSecond = 202419.5
08/17/2016 10:08:08:  Epoch[19 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91480103 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0507s; samplesPerSecond = 201984.3
08/17/2016 10:08:08: Finished Epoch[19 of 25]: [Training] CrossEntropyWithSoftmax = 0.92688661 * 1124823; EvalClassificationError = 0.30060996 * 1124823; totalSamplesSeen = 21371637; learningRatePerSample = 7.8124998e-05; epochTime=5.7333s
08/17/2016 10:08:08: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.19'

08/17/2016 10:08:08: 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

08/17/2016 10:08:08: Starting minibatch loop.
08/17/2016 10:08:08:  Epoch[20 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93509636 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0525s; samplesPerSecond = 194939.9
08/17/2016 10:08:08:  Epoch[20 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92422085 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:08:08:  Epoch[20 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.92496319 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0507s; samplesPerSecond = 202068.0
08/17/2016 10:08:08:  Epoch[20 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.93156433 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0509s; samplesPerSecond = 201317.2
08/17/2016 10:08:08:  Epoch[20 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92345085 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0508s; samplesPerSecond = 201654.2
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.91919212 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0506s; samplesPerSecond = 202451.6
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92471390 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0505s; samplesPerSecond = 202647.9
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92107315 * 10240; EvalClassificationError = 0.29306641 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.90738373 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0498s; samplesPerSecond = 205692.7
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92051163 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0500s; samplesPerSecond = 204886.1
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.93750229 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0497s; samplesPerSecond = 206003.1
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92249908 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0506s; samplesPerSecond = 202283.6
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.92815399 * 10240; EvalClassificationError = 0.29902344 * 10240; time = 0.0505s; samplesPerSecond = 202651.9
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.93686295 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0506s; samplesPerSecond = 202479.6
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91674500 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0505s; samplesPerSecond = 202708.1
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.93707886 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0507s; samplesPerSecond = 202135.8
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93591309 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0507s; samplesPerSecond = 201793.3
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92606506 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0509s; samplesPerSecond = 201135.3
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.92737732 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0505s; samplesPerSecond = 202884.8
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.92613525 * 10240; EvalClassificationError = 0.29843750 * 10240; time = 0.0507s; samplesPerSecond = 201996.3
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91303558 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.91892853 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0509s; samplesPerSecond = 201285.6
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.93254242 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0504s; samplesPerSecond = 203356.2
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.94235382 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0505s; samplesPerSecond = 202639.9
08/17/2016 10:08:09:  Epoch[20 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.93592987 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0507s; samplesPerSecond = 202119.9
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91423340 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0508s; samplesPerSecond = 201574.8
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.93099976 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.90998535 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0501s; samplesPerSecond = 204464.7
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93714294 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0499s; samplesPerSecond = 205395.6
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91750793 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0501s; samplesPerSecond = 204256.7
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93427429 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0500s; samplesPerSecond = 204845.1
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92719421 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0499s; samplesPerSecond = 205099.4
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.92189026 * 10240; EvalClassificationError = 0.30732422 * 10240; time = 0.0497s; samplesPerSecond = 206119.2
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.89364624 * 10240; EvalClassificationError = 0.28710938 * 10240; time = 0.0500s; samplesPerSecond = 204918.9
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.94866638 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0505s; samplesPerSecond = 202684.0
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.90915222 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0506s; samplesPerSecond = 202191.7
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92281799 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0508s; samplesPerSecond = 201503.4
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93001099 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0507s; samplesPerSecond = 202036.1
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.92066956 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0507s; samplesPerSecond = 201932.6
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.93619995 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0505s; samplesPerSecond = 202688.0
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92584229 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92642822 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0507s; samplesPerSecond = 201964.4
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.91424866 * 10240; EvalClassificationError = 0.29404297 * 10240; time = 0.0508s; samplesPerSecond = 201650.2
08/17/2016 10:08:10:  Epoch[20 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.90241699 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0509s; samplesPerSecond = 201317.2
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93386841 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0506s; samplesPerSecond = 202223.7
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.94032288 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0506s; samplesPerSecond = 202315.6
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93526611 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0506s; samplesPerSecond = 202427.5
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92104187 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0498s; samplesPerSecond = 205787.8
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.94041748 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0499s; samplesPerSecond = 205276.2
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.94718933 * 10240; EvalClassificationError = 0.30644531 * 10240; time = 0.0500s; samplesPerSecond = 204845.1
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.92403870 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0502s; samplesPerSecond = 204150.8
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.91414795 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0499s; samplesPerSecond = 205087.1
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94405212 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0497s; samplesPerSecond = 206027.9
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91607666 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0499s; samplesPerSecond = 205399.8
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91793213 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0499s; samplesPerSecond = 205144.6
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.91797180 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0501s; samplesPerSecond = 204448.3
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91651611 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0500s; samplesPerSecond = 204664.9
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92321777 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0498s; samplesPerSecond = 205527.6
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91448364 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0499s; samplesPerSecond = 205025.5
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91786499 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0498s; samplesPerSecond = 205746.4
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.91738281 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0506s; samplesPerSecond = 202463.6
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93573608 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0505s; samplesPerSecond = 202780.3
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.90506592 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0508s; samplesPerSecond = 201519.3
08/17/2016 10:08:11:  Epoch[20 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.92664795 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0506s; samplesPerSecond = 202319.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91633911 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0505s; samplesPerSecond = 202744.2
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.93918457 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0506s; samplesPerSecond = 202483.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91898804 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0507s; samplesPerSecond = 201936.5
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.91413574 * 10240; EvalClassificationError = 0.29208984 * 10240; time = 0.0499s; samplesPerSecond = 205231.0
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.93236084 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0500s; samplesPerSecond = 204669.0
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92702637 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0501s; samplesPerSecond = 204423.9
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91673584 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0501s; samplesPerSecond = 204309.7
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93649292 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0502s; samplesPerSecond = 203955.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93276978 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0506s; samplesPerSecond = 202551.7
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.93020020 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0506s; samplesPerSecond = 202203.7
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.92637939 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0508s; samplesPerSecond = 201721.7
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.92066040 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0507s; samplesPerSecond = 202008.2
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91001587 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0506s; samplesPerSecond = 202459.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.91253052 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0505s; samplesPerSecond = 202684.0
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.92588501 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0506s; samplesPerSecond = 202279.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93925171 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0505s; samplesPerSecond = 202728.1
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92486572 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0506s; samplesPerSecond = 202215.7
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.91910400 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0506s; samplesPerSecond = 202279.6
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.91784058 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0506s; samplesPerSecond = 202419.5
08/17/2016 10:08:12:  Epoch[20 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.89514160 * 10240; EvalClassificationError = 0.28720703 * 10240; time = 0.0506s; samplesPerSecond = 202435.6
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92384644 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0508s; samplesPerSecond = 201432.1
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91113281 * 10240; EvalClassificationError = 0.29111328 * 10240; time = 0.0508s; samplesPerSecond = 201697.9
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.93051147 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0527s; samplesPerSecond = 194384.9
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93394775 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0506s; samplesPerSecond = 202523.6
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91882324 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0512s; samplesPerSecond = 200148.5
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.92202148 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0510s; samplesPerSecond = 200981.4
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.93640137 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0508s; samplesPerSecond = 201447.9
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93654175 * 10240; EvalClassificationError = 0.30371094 * 10240; time = 0.0508s; samplesPerSecond = 201666.1
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91654663 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0507s; samplesPerSecond = 201984.3
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.91395874 * 10240; EvalClassificationError = 0.30410156 * 10240; time = 0.0508s; samplesPerSecond = 201737.6
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.93201904 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0508s; samplesPerSecond = 201376.6
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93251343 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0506s; samplesPerSecond = 202383.5
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.90140991 * 10240; EvalClassificationError = 0.28759766 * 10240; time = 0.0508s; samplesPerSecond = 201499.4
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.93001099 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0507s; samplesPerSecond = 202020.2
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.95435791 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0508s; samplesPerSecond = 201658.2
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.91892700 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0503s; samplesPerSecond = 203412.7
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92760010 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0498s; samplesPerSecond = 205531.7
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92319336 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0505s; samplesPerSecond = 202945.1
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91725464 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0507s; samplesPerSecond = 202004.3
08/17/2016 10:08:13:  Epoch[20 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92661743 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0506s; samplesPerSecond = 202479.6
08/17/2016 10:08:14:  Epoch[20 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.94015503 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0507s; samplesPerSecond = 202016.2
08/17/2016 10:08:14:  Epoch[20 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.93252563 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0507s; samplesPerSecond = 202068.0
08/17/2016 10:08:14:  Epoch[20 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91156616 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0504s; samplesPerSecond = 203291.6
08/17/2016 10:08:14:  Epoch[20 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.90733643 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0499s; samplesPerSecond = 205198.1
08/17/2016 10:08:14:  Epoch[20 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.92211914 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0499s; samplesPerSecond = 205058.4
08/17/2016 10:08:14: Finished Epoch[20 of 25]: [Training] CrossEntropyWithSoftmax = 0.92467282 * 1124823; EvalClassificationError = 0.29978228 * 1124823; totalSamplesSeen = 22496460; learningRatePerSample = 7.8124998e-05; epochTime=5.74384s
08/17/2016 10:08:14: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.20'

08/17/2016 10:08:14: 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

08/17/2016 10:08:14: Starting minibatch loop.
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.93244286 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0528s; samplesPerSecond = 193792.6
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.93218174 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0510s; samplesPerSecond = 200638.8
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.93403378 * 10240; EvalClassificationError = 0.30478516 * 10240; time = 0.0508s; samplesPerSecond = 201713.8
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.91522331 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0508s; samplesPerSecond = 201678.0
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.93174782 * 10240; EvalClassificationError = 0.30634766 * 10240; time = 0.0506s; samplesPerSecond = 202391.5
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93572464 * 10240; EvalClassificationError = 0.30878906 * 10240; time = 0.0508s; samplesPerSecond = 201499.4
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91545982 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0506s; samplesPerSecond = 202423.5
08/17/2016 10:08:14:  Epoch[21 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92286072 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0507s; samplesPerSecond = 201833.1
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.93596878 * 10240; EvalClassificationError = 0.30585937 * 10240; time = 0.0506s; samplesPerSecond = 202451.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.90287170 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0507s; samplesPerSecond = 202068.0
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91716766 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0506s; samplesPerSecond = 202431.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.90383835 * 10240; EvalClassificationError = 0.28867188 * 10240; time = 0.0501s; samplesPerSecond = 204215.9
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.92561111 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0499s; samplesPerSecond = 205194.0
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91922226 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0499s; samplesPerSecond = 205140.5
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.94225922 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0499s; samplesPerSecond = 205165.2
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.93967438 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0499s; samplesPerSecond = 205284.5
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.93344879 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0500s; samplesPerSecond = 204832.8
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.94199982 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0499s; samplesPerSecond = 205152.9
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91129913 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0497s; samplesPerSecond = 205841.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93399658 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0500s; samplesPerSecond = 204947.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93569946 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0496s; samplesPerSecond = 206297.7
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.92328644 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0498s; samplesPerSecond = 205494.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.89814758 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0499s; samplesPerSecond = 205366.8
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.92248230 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0502s; samplesPerSecond = 204032.8
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.92054901 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0504s; samplesPerSecond = 203025.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91845245 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91811066 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0506s; samplesPerSecond = 202487.6
08/17/2016 10:08:15:  Epoch[21 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92907715 * 10240; EvalClassificationError = 0.30380859 * 10240; time = 0.0504s; samplesPerSecond = 203178.6
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93422546 * 10240; EvalClassificationError = 0.31035156 * 10240; time = 0.0504s; samplesPerSecond = 203214.9
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.92945862 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0508s; samplesPerSecond = 201761.5
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93586121 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0502s; samplesPerSecond = 203894.7
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.90762634 * 10240; EvalClassificationError = 0.29169922 * 10240; time = 0.0499s; samplesPerSecond = 205173.4
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.91922302 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0502s; samplesPerSecond = 203915.0
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.93381042 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0501s; samplesPerSecond = 204444.3
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92712097 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0500s; samplesPerSecond = 204877.9
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92301636 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0501s; samplesPerSecond = 204362.7
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.92908325 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0498s; samplesPerSecond = 205610.1
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.94363708 * 10240; EvalClassificationError = 0.30947266 * 10240; time = 0.0501s; samplesPerSecond = 204415.7
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.92274780 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0508s; samplesPerSecond = 201384.5
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.93009644 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0509s; samplesPerSecond = 201214.4
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92586060 * 10240; EvalClassificationError = 0.30537109 * 10240; time = 0.0506s; samplesPerSecond = 202411.5
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92798157 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0506s; samplesPerSecond = 202179.8
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92580566 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0507s; samplesPerSecond = 202171.8
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92912292 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0507s; samplesPerSecond = 201956.5
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.93404846 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0506s; samplesPerSecond = 202435.6
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.93344421 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0506s; samplesPerSecond = 202291.6
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.92117615 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0506s; samplesPerSecond = 202315.6
08/17/2016 10:08:16:  Epoch[21 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.91573486 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0507s; samplesPerSecond = 202155.8
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.92128296 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0508s; samplesPerSecond = 201511.3
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92782898 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0506s; samplesPerSecond = 202403.5
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.94154053 * 10240; EvalClassificationError = 0.30605469 * 10240; time = 0.0503s; samplesPerSecond = 203781.1
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90508728 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0501s; samplesPerSecond = 204273.0
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.92394409 * 10240; EvalClassificationError = 0.30097656 * 10240; time = 0.0503s; samplesPerSecond = 203712.2
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.92177734 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.90013123 * 10240; EvalClassificationError = 0.29511719 * 10240; time = 0.0508s; samplesPerSecond = 201598.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.92488098 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0507s; samplesPerSecond = 202072.0
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91212158 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0509s; samplesPerSecond = 201206.5
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.92260742 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0508s; samplesPerSecond = 201713.8
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91891479 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0506s; samplesPerSecond = 202479.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91168823 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0505s; samplesPerSecond = 202880.7
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92473755 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0506s; samplesPerSecond = 202439.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.90541382 * 10240; EvalClassificationError = 0.29169922 * 10240; time = 0.0507s; samplesPerSecond = 202155.8
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91676636 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0503s; samplesPerSecond = 203376.4
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93807373 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0508s; samplesPerSecond = 201598.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.91334839 * 10240; EvalClassificationError = 0.29218750 * 10240; time = 0.0504s; samplesPerSecond = 202997.4
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91195679 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0507s; samplesPerSecond = 201888.8
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92529297 * 10240; EvalClassificationError = 0.30429688 * 10240; time = 0.0507s; samplesPerSecond = 201932.6
08/17/2016 10:08:17:  Epoch[21 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.92007446 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0506s; samplesPerSecond = 202179.8
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92698364 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0506s; samplesPerSecond = 202539.7
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94416504 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0505s; samplesPerSecond = 202953.1
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.92153931 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0503s; samplesPerSecond = 203768.9
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.93859253 * 10240; EvalClassificationError = 0.30546875 * 10240; time = 0.0501s; samplesPerSecond = 204224.1
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.92658081 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0501s; samplesPerSecond = 204558.6
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.93148804 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0503s; samplesPerSecond = 203590.7
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91316528 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0508s; samplesPerSecond = 201650.2
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.90802002 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0501s; samplesPerSecond = 204215.9
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90819092 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0504s; samplesPerSecond = 203263.3
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90722656 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0499s; samplesPerSecond = 205103.6
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91734009 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0499s; samplesPerSecond = 205255.7
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.90100098 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0499s; samplesPerSecond = 205284.5
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92333984 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0500s; samplesPerSecond = 204648.6
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.90214844 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0498s; samplesPerSecond = 205515.2
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.90554199 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0499s; samplesPerSecond = 205346.2
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91465454 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0502s; samplesPerSecond = 204106.0
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.91067505 * 10240; EvalClassificationError = 0.29062500 * 10240; time = 0.0508s; samplesPerSecond = 201634.3
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.94115601 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0506s; samplesPerSecond = 202379.5
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92518311 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0507s; samplesPerSecond = 202076.0
08/17/2016 10:08:18:  Epoch[21 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.92926025 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0503s; samplesPerSecond = 203623.1
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.91874390 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0509s; samplesPerSecond = 201333.0
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91857300 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0506s; samplesPerSecond = 202471.6
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.94144897 * 10240; EvalClassificationError = 0.30830078 * 10240; time = 0.0501s; samplesPerSecond = 204199.7
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92174683 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0496s; samplesPerSecond = 206572.4
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.94641724 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0500s; samplesPerSecond = 204943.5
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.91917725 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0500s; samplesPerSecond = 204906.6
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90997314 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0499s; samplesPerSecond = 205235.1
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.90909424 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0498s; samplesPerSecond = 205676.2
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93738403 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0499s; samplesPerSecond = 205033.7
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91632080 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0501s; samplesPerSecond = 204501.4
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92755127 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0498s; samplesPerSecond = 205597.7
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92038574 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0498s; samplesPerSecond = 205688.6
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92164307 * 10240; EvalClassificationError = 0.29296875 * 10240; time = 0.0499s; samplesPerSecond = 205399.8
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91693726 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0498s; samplesPerSecond = 205589.5
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.90361938 * 10240; EvalClassificationError = 0.29062500 * 10240; time = 0.0499s; samplesPerSecond = 205033.7
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92078857 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0502s; samplesPerSecond = 203935.3
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91716309 * 10240; EvalClassificationError = 0.30468750 * 10240; time = 0.0509s; samplesPerSecond = 201174.8
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.90675049 * 10240; EvalClassificationError = 0.29365234 * 10240; time = 0.0507s; samplesPerSecond = 201888.8
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.93090820 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0507s; samplesPerSecond = 202099.9
08/17/2016 10:08:19:  Epoch[21 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.92387695 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0505s; samplesPerSecond = 202611.8
08/17/2016 10:08:20:  Epoch[21 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.93471069 * 10240; EvalClassificationError = 0.30361328 * 10240; time = 0.0507s; samplesPerSecond = 202099.9
08/17/2016 10:08:20: Finished Epoch[21 of 25]: [Training] CrossEntropyWithSoftmax = 0.92282736 * 1124823; EvalClassificationError = 0.29925330 * 1124823; totalSamplesSeen = 23621283; learningRatePerSample = 7.8124998e-05; epochTime=5.72911s
08/17/2016 10:08:20: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.21'

08/17/2016 10:08:20: 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

08/17/2016 10:08:20: Starting minibatch loop.
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.92320347 * 10240; EvalClassificationError = 0.30986328 * 10240; time = 0.0526s; samplesPerSecond = 194847.2
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.91832352 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0509s; samplesPerSecond = 201202.5
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.90690517 * 10240; EvalClassificationError = 0.29189453 * 10240; time = 0.0508s; samplesPerSecond = 201773.4
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.92631569 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0508s; samplesPerSecond = 201769.4
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92593651 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0505s; samplesPerSecond = 202752.2
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93246689 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0506s; samplesPerSecond = 202419.5
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91569824 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0507s; samplesPerSecond = 202080.0
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.89719315 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0508s; samplesPerSecond = 201749.5
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.92488403 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0506s; samplesPerSecond = 202263.6
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.92295532 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0510s; samplesPerSecond = 200930.1
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91446457 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0507s; samplesPerSecond = 201968.4
08/17/2016 10:08:20:  Epoch[22 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.93682480 * 10240; EvalClassificationError = 0.30244141 * 10240; time = 0.0507s; samplesPerSecond = 201852.9
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.89916306 * 10240; EvalClassificationError = 0.29677734 * 10240; time = 0.0505s; samplesPerSecond = 202663.9
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.92813110 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0506s; samplesPerSecond = 202235.7
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.93550415 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0503s; samplesPerSecond = 203424.8
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91875763 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0509s; samplesPerSecond = 201155.1
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.92179413 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0504s; samplesPerSecond = 203210.9
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92866669 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0506s; samplesPerSecond = 202227.7
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91638336 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0508s; samplesPerSecond = 201467.7
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.91178131 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0506s; samplesPerSecond = 202203.7
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.93080444 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0506s; samplesPerSecond = 202175.8
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.91581421 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0504s; samplesPerSecond = 203158.5
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92534485 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0498s; samplesPerSecond = 205721.6
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.94310913 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0500s; samplesPerSecond = 204636.3
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.91562347 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0503s; samplesPerSecond = 203732.4
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91837769 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0507s; samplesPerSecond = 202036.1
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92332611 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0506s; samplesPerSecond = 202491.6
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91229858 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0508s; samplesPerSecond = 201562.9
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.94828186 * 10240; EvalClassificationError = 0.30566406 * 10240; time = 0.0506s; samplesPerSecond = 202207.7
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.90902100 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0508s; samplesPerSecond = 201646.3
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.93387451 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:08:21:  Epoch[22 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.92183533 * 10240; EvalClassificationError = 0.30253906 * 10240; time = 0.0506s; samplesPerSecond = 202179.8
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.92944031 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0508s; samplesPerSecond = 201499.4
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91420288 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0508s; samplesPerSecond = 201733.6
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92488098 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0506s; samplesPerSecond = 202527.6
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.93328247 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0496s; samplesPerSecond = 206472.4
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.91943665 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0500s; samplesPerSecond = 204882.0
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.90676575 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0497s; samplesPerSecond = 205969.9
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91807556 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0501s; samplesPerSecond = 204191.5
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92396851 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0499s; samplesPerSecond = 205033.7
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92244263 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0504s; samplesPerSecond = 203331.9
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.93152771 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0507s; samplesPerSecond = 202032.2
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.91448059 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0506s; samplesPerSecond = 202359.5
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.93092651 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0507s; samplesPerSecond = 201972.4
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.92271423 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0508s; samplesPerSecond = 201574.8
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92522583 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0507s; samplesPerSecond = 202135.8
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.94217834 * 10240; EvalClassificationError = 0.30810547 * 10240; time = 0.0507s; samplesPerSecond = 201964.4
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92093201 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90257568 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0502s; samplesPerSecond = 203963.7
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.92976990 * 10240; EvalClassificationError = 0.30166016 * 10240; time = 0.0506s; samplesPerSecond = 202243.6
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.93170166 * 10240; EvalClassificationError = 0.30000000 * 10240; time = 0.0502s; samplesPerSecond = 203980.0
08/17/2016 10:08:22:  Epoch[22 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.92228088 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0505s; samplesPerSecond = 202744.2
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91381531 * 10240; EvalClassificationError = 0.29306641 * 10240; time = 0.0504s; samplesPerSecond = 203243.2
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91780701 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0505s; samplesPerSecond = 202712.1
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92335510 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0506s; samplesPerSecond = 202387.5
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93642273 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0505s; samplesPerSecond = 202828.5
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.92701416 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.93013916 * 10240; EvalClassificationError = 0.30576172 * 10240; time = 0.0502s; samplesPerSecond = 204097.9
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93920288 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0500s; samplesPerSecond = 204910.7
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.90723877 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0498s; samplesPerSecond = 205564.7
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.94412842 * 10240; EvalClassificationError = 0.31005859 * 10240; time = 0.0499s; samplesPerSecond = 205251.6
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.91099854 * 10240; EvalClassificationError = 0.28876953 * 10240; time = 0.0500s; samplesPerSecond = 204755.0
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91909790 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0500s; samplesPerSecond = 205005.0
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.89729004 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0498s; samplesPerSecond = 205449.2
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.92239380 * 10240; EvalClassificationError = 0.29267578 * 10240; time = 0.0506s; samplesPerSecond = 202303.6
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.89135132 * 10240; EvalClassificationError = 0.28330078 * 10240; time = 0.0506s; samplesPerSecond = 202279.6
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.93192749 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0505s; samplesPerSecond = 202804.4
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93386230 * 10240; EvalClassificationError = 0.30771484 * 10240; time = 0.0507s; samplesPerSecond = 202096.0
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.92660522 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0507s; samplesPerSecond = 201984.3
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.90769043 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0508s; samplesPerSecond = 201622.4
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.90621948 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0505s; samplesPerSecond = 202631.8
08/17/2016 10:08:23:  Epoch[22 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91251831 * 10240; EvalClassificationError = 0.28964844 * 10240; time = 0.0504s; samplesPerSecond = 202981.3
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.93372803 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0508s; samplesPerSecond = 201725.7
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.91829224 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0507s; samplesPerSecond = 202107.9
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.90493164 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0502s; samplesPerSecond = 203951.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91452026 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0498s; samplesPerSecond = 205436.9
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91541138 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0499s; samplesPerSecond = 205218.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90562744 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0503s; samplesPerSecond = 203687.9
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.89529419 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0508s; samplesPerSecond = 201467.7
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92443237 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0506s; samplesPerSecond = 202527.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93190918 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0508s; samplesPerSecond = 201701.9
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92266235 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.92116089 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0508s; samplesPerSecond = 201547.0
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91616821 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0506s; samplesPerSecond = 202355.5
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.94077148 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0507s; samplesPerSecond = 202060.1
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91918335 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0506s; samplesPerSecond = 202291.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.91712036 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0507s; samplesPerSecond = 201793.3
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93112183 * 10240; EvalClassificationError = 0.30439453 * 10240; time = 0.0506s; samplesPerSecond = 202251.6
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.90927734 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0507s; samplesPerSecond = 201817.1
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91260376 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0505s; samplesPerSecond = 202937.0
08/17/2016 10:08:24:  Epoch[22 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91268311 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0505s; samplesPerSecond = 202611.8
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.95058594 * 10240; EvalClassificationError = 0.30800781 * 10240; time = 0.0505s; samplesPerSecond = 202595.8
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.90930176 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0507s; samplesPerSecond = 202016.2
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.90140991 * 10240; EvalClassificationError = 0.29042969 * 10240; time = 0.0507s; samplesPerSecond = 202111.9
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.91130371 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0499s; samplesPerSecond = 205078.9
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.93999634 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0497s; samplesPerSecond = 206135.8
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.93157349 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0499s; samplesPerSecond = 205375.1
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91148682 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0498s; samplesPerSecond = 205469.8
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92282715 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0500s; samplesPerSecond = 204972.2
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.90675659 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0499s; samplesPerSecond = 205354.5
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.90839233 * 10240; EvalClassificationError = 0.29462891 * 10240; time = 0.0499s; samplesPerSecond = 205243.3
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.89578857 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0498s; samplesPerSecond = 205515.2
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91564941 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0501s; samplesPerSecond = 204570.9
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92686157 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0501s; samplesPerSecond = 204207.8
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.93945923 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0505s; samplesPerSecond = 202647.9
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92767334 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0506s; samplesPerSecond = 202335.6
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.94364014 * 10240; EvalClassificationError = 0.30722656 * 10240; time = 0.0508s; samplesPerSecond = 201729.7
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.92229614 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0506s; samplesPerSecond = 202431.6
08/17/2016 10:08:25:  Epoch[22 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.94110107 * 10240; EvalClassificationError = 0.30712891 * 10240; time = 0.0507s; samplesPerSecond = 201980.4
08/17/2016 10:08:25: Finished Epoch[22 of 25]: [Training] CrossEntropyWithSoftmax = 0.92133974 * 1124823; EvalClassificationError = 0.29882301 * 1124823; totalSamplesSeen = 24746106; learningRatePerSample = 7.8124998e-05; epochTime=5.7425s
08/17/2016 10:08:25: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.22'

08/17/2016 10:08:25: 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

08/17/2016 10:08:26: Starting minibatch loop.
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.91941795 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0518s; samplesPerSecond = 197874.4
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.90332108 * 10240; EvalClassificationError = 0.29248047 * 10240; time = 0.0499s; samplesPerSecond = 205066.6
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.93413620 * 10240; EvalClassificationError = 0.30595703 * 10240; time = 0.0499s; samplesPerSecond = 205177.5
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.92594719 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0500s; samplesPerSecond = 204718.1
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.93862457 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0499s; samplesPerSecond = 205185.7
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.92794571 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0499s; samplesPerSecond = 205272.1
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91426773 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0500s; samplesPerSecond = 204918.9
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.91253586 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0501s; samplesPerSecond = 204297.4
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.92108078 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0498s; samplesPerSecond = 205680.3
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.93874588 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0498s; samplesPerSecond = 205539.9
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.91154938 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0498s; samplesPerSecond = 205593.6
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92508011 * 10240; EvalClassificationError = 0.29765625 * 10240; time = 0.0497s; samplesPerSecond = 205945.1
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.91353302 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0503s; samplesPerSecond = 203760.8
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.94025650 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0508s; samplesPerSecond = 201400.4
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.92291412 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0505s; samplesPerSecond = 202756.2
08/17/2016 10:08:26:  Epoch[23 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.92196960 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0507s; samplesPerSecond = 202143.8
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.90935669 * 10240; EvalClassificationError = 0.28681641 * 10240; time = 0.0505s; samplesPerSecond = 202804.4
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.92854309 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0508s; samplesPerSecond = 201666.1
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91873474 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0504s; samplesPerSecond = 203255.3
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.91655884 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0502s; samplesPerSecond = 204016.6
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91195068 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0498s; samplesPerSecond = 205474.0
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.90789795 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0502s; samplesPerSecond = 203984.1
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.94969482 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0500s; samplesPerSecond = 204980.4
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.91657562 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0498s; samplesPerSecond = 205643.1
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.91105194 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0499s; samplesPerSecond = 205412.1
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.89754028 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0500s; samplesPerSecond = 204939.4
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91837006 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0500s; samplesPerSecond = 204849.2
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91804962 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0500s; samplesPerSecond = 204681.3
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.91748657 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0500s; samplesPerSecond = 204681.3
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91025391 * 10240; EvalClassificationError = 0.29511719 * 10240; time = 0.0501s; samplesPerSecond = 204456.5
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.90252686 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0500s; samplesPerSecond = 204619.9
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.91641235 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0499s; samplesPerSecond = 205214.5
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.90992126 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0506s; samplesPerSecond = 202187.7
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.90366211 * 10240; EvalClassificationError = 0.29023437 * 10240; time = 0.0506s; samplesPerSecond = 202467.6
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.91102600 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0507s; samplesPerSecond = 202072.0
08/17/2016 10:08:27:  Epoch[23 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.92174683 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0507s; samplesPerSecond = 202080.0
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.94413757 * 10240; EvalClassificationError = 0.30742188 * 10240; time = 0.0506s; samplesPerSecond = 202183.7
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93571167 * 10240; EvalClassificationError = 0.30556641 * 10240; time = 0.0505s; samplesPerSecond = 202583.7
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.89682312 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0501s; samplesPerSecond = 204256.7
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.92003174 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0502s; samplesPerSecond = 204114.2
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.91446838 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0505s; samplesPerSecond = 202820.5
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.92726135 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0505s; samplesPerSecond = 202647.9
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.90950012 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0505s; samplesPerSecond = 202659.9
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92391968 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0499s; samplesPerSecond = 205276.2
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.91452026 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0499s; samplesPerSecond = 205305.1
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92361145 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0502s; samplesPerSecond = 203829.8
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.93435669 * 10240; EvalClassificationError = 0.30517578 * 10240; time = 0.0507s; samplesPerSecond = 201793.3
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.89624023 * 10240; EvalClassificationError = 0.28955078 * 10240; time = 0.0506s; samplesPerSecond = 202199.7
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90551147 * 10240; EvalClassificationError = 0.29160156 * 10240; time = 0.0512s; samplesPerSecond = 199836.1
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.94876709 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0508s; samplesPerSecond = 201614.5
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.91778564 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0506s; samplesPerSecond = 202283.6
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.93052368 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0506s; samplesPerSecond = 202219.7
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.93664551 * 10240; EvalClassificationError = 0.30917969 * 10240; time = 0.0504s; samplesPerSecond = 203166.5
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.93433533 * 10240; EvalClassificationError = 0.30292969 * 10240; time = 0.0507s; samplesPerSecond = 201916.6
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92213135 * 10240; EvalClassificationError = 0.29628906 * 10240; time = 0.0507s; samplesPerSecond = 202088.0
08/17/2016 10:08:28:  Epoch[23 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.89936523 * 10240; EvalClassificationError = 0.28818359 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.91966553 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0506s; samplesPerSecond = 202187.7
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.91701050 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0507s; samplesPerSecond = 201872.8
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.91076660 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0504s; samplesPerSecond = 203130.3
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91448975 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0498s; samplesPerSecond = 205428.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92440796 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0500s; samplesPerSecond = 204709.9
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92734985 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0499s; samplesPerSecond = 205070.7
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.91129150 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0499s; samplesPerSecond = 205124.1
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.94190063 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0501s; samplesPerSecond = 204220.0
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.90807495 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0508s; samplesPerSecond = 201693.9
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.92344971 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0506s; samplesPerSecond = 202483.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92149048 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0507s; samplesPerSecond = 201920.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.92684937 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0506s; samplesPerSecond = 202199.7
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.90213623 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0507s; samplesPerSecond = 202080.0
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.92240601 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0506s; samplesPerSecond = 202467.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91235352 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0508s; samplesPerSecond = 201682.0
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91342773 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0508s; samplesPerSecond = 201642.3
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.91732178 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0508s; samplesPerSecond = 201733.6
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92088623 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0505s; samplesPerSecond = 202864.7
08/17/2016 10:08:29:  Epoch[23 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.92232666 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0505s; samplesPerSecond = 202740.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91884155 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0507s; samplesPerSecond = 202111.9
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90974731 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0508s; samplesPerSecond = 201447.9
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.94075928 * 10240; EvalClassificationError = 0.31123047 * 10240; time = 0.0507s; samplesPerSecond = 202000.3
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.95167847 * 10240; EvalClassificationError = 0.31035156 * 10240; time = 0.0503s; samplesPerSecond = 203631.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92825317 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0500s; samplesPerSecond = 204873.8
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.92061157 * 10240; EvalClassificationError = 0.30224609 * 10240; time = 0.0501s; samplesPerSecond = 204358.6
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.94171753 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0498s; samplesPerSecond = 205469.8
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.94104614 * 10240; EvalClassificationError = 0.30996094 * 10240; time = 0.0500s; samplesPerSecond = 204824.6
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.91323242 * 10240; EvalClassificationError = 0.29570313 * 10240; time = 0.0500s; samplesPerSecond = 204972.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.90487061 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0501s; samplesPerSecond = 204211.9
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92014771 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0499s; samplesPerSecond = 205338.0
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92587280 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0499s; samplesPerSecond = 205054.3
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.90587158 * 10240; EvalClassificationError = 0.28623047 * 10240; time = 0.0502s; samplesPerSecond = 203825.7
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.89998169 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0507s; samplesPerSecond = 202155.8
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.90634766 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0505s; samplesPerSecond = 202748.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.91440430 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0508s; samplesPerSecond = 201515.3
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.92606812 * 10240; EvalClassificationError = 0.30664062 * 10240; time = 0.0505s; samplesPerSecond = 202868.7
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.92048950 * 10240; EvalClassificationError = 0.30449219 * 10240; time = 0.0508s; samplesPerSecond = 201420.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.93728027 * 10240; EvalClassificationError = 0.30234375 * 10240; time = 0.0508s; samplesPerSecond = 201523.2
08/17/2016 10:08:30:  Epoch[23 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90932617 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0508s; samplesPerSecond = 201424.1
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92076416 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0511s; samplesPerSecond = 200465.9
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91994019 * 10240; EvalClassificationError = 0.29638672 * 10240; time = 0.0507s; samplesPerSecond = 201884.8
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.92297974 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0505s; samplesPerSecond = 202639.9
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.90955200 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0499s; samplesPerSecond = 205046.1
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.91339111 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0501s; samplesPerSecond = 204513.7
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.92780762 * 10240; EvalClassificationError = 0.30488281 * 10240; time = 0.0501s; samplesPerSecond = 204264.8
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92141113 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0499s; samplesPerSecond = 205408.0
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.92026978 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0502s; samplesPerSecond = 203890.6
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92391357 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0500s; samplesPerSecond = 204750.9
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91195068 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0502s; samplesPerSecond = 203781.1
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.93968506 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0506s; samplesPerSecond = 202319.6
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.90863647 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0509s; samplesPerSecond = 201313.3
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.91534424 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0504s; samplesPerSecond = 202981.3
08/17/2016 10:08:31:  Epoch[23 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.90889893 * 10240; EvalClassificationError = 0.29453125 * 10240; time = 0.0508s; samplesPerSecond = 201594.6
08/17/2016 10:08:31: Finished Epoch[23 of 25]: [Training] CrossEntropyWithSoftmax = 0.91998630 * 1124823; EvalClassificationError = 0.29821403 * 1124823; totalSamplesSeen = 25870929; learningRatePerSample = 7.8124998e-05; epochTime=5.72873s
08/17/2016 10:08:31: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.23'

08/17/2016 10:08:31: 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

08/17/2016 10:08:31: Starting minibatch loop.
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.92328491 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0526s; samplesPerSecond = 194684.2
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.91342297 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0509s; samplesPerSecond = 201289.5
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.89108658 * 10240; EvalClassificationError = 0.28964844 * 10240; time = 0.0503s; samplesPerSecond = 203392.5
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.90627995 * 10240; EvalClassificationError = 0.30009766 * 10240; time = 0.0499s; samplesPerSecond = 205251.6
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.92169952 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0504s; samplesPerSecond = 203037.6
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93883972 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0508s; samplesPerSecond = 201634.3
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.92062836 * 10240; EvalClassificationError = 0.30078125 * 10240; time = 0.0505s; samplesPerSecond = 202579.7
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.92072830 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0508s; samplesPerSecond = 201388.5
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.91049500 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0508s; samplesPerSecond = 201761.5
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.89003067 * 10240; EvalClassificationError = 0.28564453 * 10240; time = 0.0508s; samplesPerSecond = 201535.1
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.92310104 * 10240; EvalClassificationError = 0.30039063 * 10240; time = 0.0509s; samplesPerSecond = 201044.5
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.91659012 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0508s; samplesPerSecond = 201689.9
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.91546173 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0509s; samplesPerSecond = 201273.7
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.91651154 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0507s; samplesPerSecond = 201964.4
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91459961 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0507s; samplesPerSecond = 201849.0
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.91644745 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0506s; samplesPerSecond = 202307.6
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.90256348 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0507s; samplesPerSecond = 202028.2
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.91793060 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0506s; samplesPerSecond = 202335.6
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91334076 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0508s; samplesPerSecond = 201638.3
08/17/2016 10:08:32:  Epoch[24 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93254700 * 10240; EvalClassificationError = 0.29990234 * 10240; time = 0.0507s; samplesPerSecond = 202004.3
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.92868347 * 10240; EvalClassificationError = 0.30351563 * 10240; time = 0.0506s; samplesPerSecond = 202395.5
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.93401489 * 10240; EvalClassificationError = 0.30146484 * 10240; time = 0.0505s; samplesPerSecond = 202864.7
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.92197876 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0505s; samplesPerSecond = 202880.7
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.90122223 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0501s; samplesPerSecond = 204415.7
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.90943146 * 10240; EvalClassificationError = 0.29316406 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91110382 * 10240; EvalClassificationError = 0.29365234 * 10240; time = 0.0506s; samplesPerSecond = 202283.6
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.91674042 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0506s; samplesPerSecond = 202387.5
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.92409515 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0502s; samplesPerSecond = 203915.0
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.93126221 * 10240; EvalClassificationError = 0.30849609 * 10240; time = 0.0503s; samplesPerSecond = 203420.8
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.91484680 * 10240; EvalClassificationError = 0.29521484 * 10240; time = 0.0503s; samplesPerSecond = 203493.6
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91644287 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0502s; samplesPerSecond = 203996.3
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.91514893 * 10240; EvalClassificationError = 0.29814453 * 10240; time = 0.0503s; samplesPerSecond = 203473.4
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93418884 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0500s; samplesPerSecond = 204750.9
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.92217407 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0502s; samplesPerSecond = 204175.2
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.92410889 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0500s; samplesPerSecond = 204742.7
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.91343994 * 10240; EvalClassificationError = 0.29824219 * 10240; time = 0.0501s; samplesPerSecond = 204248.5
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.90298157 * 10240; EvalClassificationError = 0.29179688 * 10240; time = 0.0508s; samplesPerSecond = 201701.9
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.91802979 * 10240; EvalClassificationError = 0.29882812 * 10240; time = 0.0506s; samplesPerSecond = 202171.8
08/17/2016 10:08:33:  Epoch[24 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91991882 * 10240; EvalClassificationError = 0.29853516 * 10240; time = 0.0504s; samplesPerSecond = 203057.8
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91458740 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0507s; samplesPerSecond = 202072.0
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.90407410 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0505s; samplesPerSecond = 202888.8
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.91603699 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0507s; samplesPerSecond = 202004.3
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92913818 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0501s; samplesPerSecond = 204203.7
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.92139893 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0499s; samplesPerSecond = 205255.7
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.92620239 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0501s; samplesPerSecond = 204370.8
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.90895081 * 10240; EvalClassificationError = 0.29404297 * 10240; time = 0.0499s; samplesPerSecond = 205087.1
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.91984558 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0500s; samplesPerSecond = 204681.3
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92282715 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0498s; samplesPerSecond = 205713.4
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.89761658 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0499s; samplesPerSecond = 205152.9
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.90707703 * 10240; EvalClassificationError = 0.28847656 * 10240; time = 0.0497s; samplesPerSecond = 205849.8
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.90921326 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0501s; samplesPerSecond = 204383.1
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.90741577 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0499s; samplesPerSecond = 205309.2
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.91073303 * 10240; EvalClassificationError = 0.29414062 * 10240; time = 0.0500s; samplesPerSecond = 204767.2
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.90306396 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0497s; samplesPerSecond = 205957.5
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.92077332 * 10240; EvalClassificationError = 0.29667969 * 10240; time = 0.0501s; samplesPerSecond = 204187.4
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.93547974 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0502s; samplesPerSecond = 204114.2
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93475952 * 10240; EvalClassificationError = 0.30341797 * 10240; time = 0.0506s; samplesPerSecond = 202183.7
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.89725342 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0507s; samplesPerSecond = 201944.5
08/17/2016 10:08:34:  Epoch[24 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.93463745 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0507s; samplesPerSecond = 201944.5
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91517334 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0507s; samplesPerSecond = 202068.0
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.92265015 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0506s; samplesPerSecond = 202559.7
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.92606201 * 10240; EvalClassificationError = 0.30058594 * 10240; time = 0.0500s; samplesPerSecond = 204812.3
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.93417358 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0499s; samplesPerSecond = 205124.1
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93150635 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0501s; samplesPerSecond = 204407.5
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.92722778 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0498s; samplesPerSecond = 205634.9
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.91926880 * 10240; EvalClassificationError = 0.29648438 * 10240; time = 0.0500s; samplesPerSecond = 204853.3
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.91898193 * 10240; EvalClassificationError = 0.30039063 * 10240; time = 0.0498s; samplesPerSecond = 205589.5
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93829346 * 10240; EvalClassificationError = 0.30908203 * 10240; time = 0.0498s; samplesPerSecond = 205482.2
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.91841431 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0496s; samplesPerSecond = 206493.2
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.93000488 * 10240; EvalClassificationError = 0.30283203 * 10240; time = 0.0498s; samplesPerSecond = 205696.8
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91309204 * 10240; EvalClassificationError = 0.29726562 * 10240; time = 0.0499s; samplesPerSecond = 205218.6
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.90836792 * 10240; EvalClassificationError = 0.29287109 * 10240; time = 0.0500s; samplesPerSecond = 204959.9
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.91804199 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0497s; samplesPerSecond = 206056.9
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92451782 * 10240; EvalClassificationError = 0.29951172 * 10240; time = 0.0499s; samplesPerSecond = 205074.8
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.90864258 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0497s; samplesPerSecond = 205953.3
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91780396 * 10240; EvalClassificationError = 0.29599609 * 10240; time = 0.0503s; samplesPerSecond = 203400.6
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.91058960 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0508s; samplesPerSecond = 201666.1
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.90440674 * 10240; EvalClassificationError = 0.29472656 * 10240; time = 0.0506s; samplesPerSecond = 202315.6
08/17/2016 10:08:35:  Epoch[24 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.90393677 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0506s; samplesPerSecond = 202195.7
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.93255005 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0505s; samplesPerSecond = 202583.7
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.91839600 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0507s; samplesPerSecond = 202167.8
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.92957764 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0504s; samplesPerSecond = 203069.8
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.90792847 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0500s; samplesPerSecond = 204898.4
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.92796021 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0496s; samplesPerSecond = 206281.1
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92390137 * 10240; EvalClassificationError = 0.29589844 * 10240; time = 0.0499s; samplesPerSecond = 205152.9
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.91986694 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0498s; samplesPerSecond = 205560.6
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92627563 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0501s; samplesPerSecond = 204374.9
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.91009521 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0503s; samplesPerSecond = 203408.7
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.90825806 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0503s; samplesPerSecond = 203602.8
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.91718750 * 10240; EvalClassificationError = 0.29980469 * 10240; time = 0.0500s; samplesPerSecond = 204812.3
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92273560 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0500s; samplesPerSecond = 204820.5
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.91773071 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0498s; samplesPerSecond = 205709.2
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.93193970 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0500s; samplesPerSecond = 204595.4
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.89740601 * 10240; EvalClassificationError = 0.29248047 * 10240; time = 0.0507s; samplesPerSecond = 202036.1
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.92718506 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0507s; samplesPerSecond = 201928.6
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92280273 * 10240; EvalClassificationError = 0.29609375 * 10240; time = 0.0506s; samplesPerSecond = 202259.6
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.92399902 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0506s; samplesPerSecond = 202319.6
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.91494751 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0506s; samplesPerSecond = 202391.5
08/17/2016 10:08:36:  Epoch[24 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.94534912 * 10240; EvalClassificationError = 0.30693359 * 10240; time = 0.0506s; samplesPerSecond = 202459.6
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.92779541 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0505s; samplesPerSecond = 202965.2
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.93732910 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0505s; samplesPerSecond = 202696.0
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.92174072 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0504s; samplesPerSecond = 203069.8
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.93767700 * 10240; EvalClassificationError = 0.29970703 * 10240; time = 0.0501s; samplesPerSecond = 204562.7
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.91182251 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0499s; samplesPerSecond = 205095.3
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91152954 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0500s; samplesPerSecond = 204824.6
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.91478882 * 10240; EvalClassificationError = 0.29238281 * 10240; time = 0.0499s; samplesPerSecond = 205206.3
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.91663208 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0497s; samplesPerSecond = 206231.2
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.93968506 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0499s; samplesPerSecond = 205087.1
08/17/2016 10:08:37:  Epoch[24 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91503906 * 10240; EvalClassificationError = 0.29892578 * 10240; time = 0.0504s; samplesPerSecond = 203154.4
08/17/2016 10:08:37: Finished Epoch[24 of 25]: [Training] CrossEntropyWithSoftmax = 0.91875061 * 1124823; EvalClassificationError = 0.29798911 * 1124823; totalSamplesSeen = 26995752; learningRatePerSample = 7.8124998e-05; epochTime=5.72741s
08/17/2016 10:08:37: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn.24'

08/17/2016 10:08:37: 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

08/17/2016 10:08:37: Starting minibatch loop.
08/17/2016 10:08:37:  Epoch[25 of 25]-Minibatch[   1-  10, 0.91%]: CrossEntropyWithSoftmax = 0.91208630 * 10240; EvalClassificationError = 0.29755859 * 10240; time = 0.0523s; samplesPerSecond = 195763.6
08/17/2016 10:08:37:  Epoch[25 of 25]-Minibatch[  11-  20, 1.82%]: CrossEntropyWithSoftmax = 0.92901764 * 10240; EvalClassificationError = 0.29941406 * 10240; time = 0.0507s; samplesPerSecond = 201972.4
08/17/2016 10:08:37:  Epoch[25 of 25]-Minibatch[  21-  30, 2.73%]: CrossEntropyWithSoftmax = 0.94017925 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0506s; samplesPerSecond = 202251.6
08/17/2016 10:08:37:  Epoch[25 of 25]-Minibatch[  31-  40, 3.64%]: CrossEntropyWithSoftmax = 0.90766945 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0508s; samplesPerSecond = 201471.7
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  41-  50, 4.56%]: CrossEntropyWithSoftmax = 0.89747238 * 10240; EvalClassificationError = 0.29580078 * 10240; time = 0.0506s; samplesPerSecond = 202443.6
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  51-  60, 5.47%]: CrossEntropyWithSoftmax = 0.93102608 * 10240; EvalClassificationError = 0.30390625 * 10240; time = 0.0506s; samplesPerSecond = 202179.8
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  61-  70, 6.38%]: CrossEntropyWithSoftmax = 0.91477470 * 10240; EvalClassificationError = 0.29404297 * 10240; time = 0.0504s; samplesPerSecond = 202989.3
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  71-  80, 7.29%]: CrossEntropyWithSoftmax = 0.91811981 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0505s; samplesPerSecond = 202800.4
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  81-  90, 8.20%]: CrossEntropyWithSoftmax = 0.91578293 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0507s; samplesPerSecond = 202032.2
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[  91- 100, 9.11%]: CrossEntropyWithSoftmax = 0.91356506 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0508s; samplesPerSecond = 201392.4
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 101- 110, 10.02%]: CrossEntropyWithSoftmax = 0.92525558 * 10240; EvalClassificationError = 0.29365234 * 10240; time = 0.0501s; samplesPerSecond = 204342.3
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 111- 120, 10.93%]: CrossEntropyWithSoftmax = 0.92848892 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0501s; samplesPerSecond = 204521.9
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 121- 130, 11.85%]: CrossEntropyWithSoftmax = 0.90473328 * 10240; EvalClassificationError = 0.29267578 * 10240; time = 0.0501s; samplesPerSecond = 204501.4
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 131- 140, 12.76%]: CrossEntropyWithSoftmax = 0.92223053 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0499s; samplesPerSecond = 205037.8
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 141- 150, 13.67%]: CrossEntropyWithSoftmax = 0.91938477 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0500s; samplesPerSecond = 204914.8
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 151- 160, 14.58%]: CrossEntropyWithSoftmax = 0.90070496 * 10240; EvalClassificationError = 0.29003906 * 10240; time = 0.0500s; samplesPerSecond = 204746.8
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 161- 170, 15.49%]: CrossEntropyWithSoftmax = 0.89668274 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0508s; samplesPerSecond = 201761.5
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 171- 180, 16.40%]: CrossEntropyWithSoftmax = 0.91112518 * 10240; EvalClassificationError = 0.29355469 * 10240; time = 0.0507s; samplesPerSecond = 201908.7
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 181- 190, 17.31%]: CrossEntropyWithSoftmax = 0.91466370 * 10240; EvalClassificationError = 0.29082031 * 10240; time = 0.0508s; samplesPerSecond = 201404.3
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 191- 200, 18.22%]: CrossEntropyWithSoftmax = 0.93677063 * 10240; EvalClassificationError = 0.30419922 * 10240; time = 0.0506s; samplesPerSecond = 202251.6
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 201- 210, 19.13%]: CrossEntropyWithSoftmax = 0.91056213 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0508s; samplesPerSecond = 201737.6
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 211- 220, 20.05%]: CrossEntropyWithSoftmax = 0.90929565 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0507s; samplesPerSecond = 201805.2
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 221- 230, 20.96%]: CrossEntropyWithSoftmax = 0.91817932 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0507s; samplesPerSecond = 201996.3
08/17/2016 10:08:38:  Epoch[25 of 25]-Minibatch[ 231- 240, 21.87%]: CrossEntropyWithSoftmax = 0.89616547 * 10240; EvalClassificationError = 0.28837891 * 10240; time = 0.0508s; samplesPerSecond = 201555.0
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 241- 250, 22.78%]: CrossEntropyWithSoftmax = 0.89896088 * 10240; EvalClassificationError = 0.28867188 * 10240; time = 0.0509s; samplesPerSecond = 201368.7
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 251- 260, 23.69%]: CrossEntropyWithSoftmax = 0.91754761 * 10240; EvalClassificationError = 0.29619141 * 10240; time = 0.0507s; samplesPerSecond = 202040.1
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 261- 270, 24.60%]: CrossEntropyWithSoftmax = 0.92837067 * 10240; EvalClassificationError = 0.30263672 * 10240; time = 0.0502s; samplesPerSecond = 204158.9
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 271- 280, 25.51%]: CrossEntropyWithSoftmax = 0.91977997 * 10240; EvalClassificationError = 0.29501953 * 10240; time = 0.0502s; samplesPerSecond = 204093.8
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 281- 290, 26.42%]: CrossEntropyWithSoftmax = 0.91726990 * 10240; EvalClassificationError = 0.29394531 * 10240; time = 0.0498s; samplesPerSecond = 205667.9
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 291- 300, 27.33%]: CrossEntropyWithSoftmax = 0.90508118 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0502s; samplesPerSecond = 204163.0
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 301- 310, 28.25%]: CrossEntropyWithSoftmax = 0.91136780 * 10240; EvalClassificationError = 0.30205078 * 10240; time = 0.0503s; samplesPerSecond = 203566.4
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 311- 320, 29.16%]: CrossEntropyWithSoftmax = 0.93504028 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0506s; samplesPerSecond = 202323.6
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 321- 330, 30.07%]: CrossEntropyWithSoftmax = 0.93460999 * 10240; EvalClassificationError = 0.30136719 * 10240; time = 0.0507s; samplesPerSecond = 201856.9
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 331- 340, 30.98%]: CrossEntropyWithSoftmax = 0.91101379 * 10240; EvalClassificationError = 0.29550781 * 10240; time = 0.0508s; samplesPerSecond = 201467.7
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 341- 350, 31.89%]: CrossEntropyWithSoftmax = 0.91987305 * 10240; EvalClassificationError = 0.30087891 * 10240; time = 0.0506s; samplesPerSecond = 202375.5
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 351- 360, 32.80%]: CrossEntropyWithSoftmax = 0.91519775 * 10240; EvalClassificationError = 0.29443359 * 10240; time = 0.0506s; samplesPerSecond = 202371.5
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 361- 370, 33.71%]: CrossEntropyWithSoftmax = 0.89702148 * 10240; EvalClassificationError = 0.29316406 * 10240; time = 0.0507s; samplesPerSecond = 201864.9
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 371- 380, 34.62%]: CrossEntropyWithSoftmax = 0.93339539 * 10240; EvalClassificationError = 0.30498047 * 10240; time = 0.0504s; samplesPerSecond = 203065.8
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 381- 390, 35.54%]: CrossEntropyWithSoftmax = 0.91153259 * 10240; EvalClassificationError = 0.29326172 * 10240; time = 0.0505s; samplesPerSecond = 202623.8
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 391- 400, 36.45%]: CrossEntropyWithSoftmax = 0.91540222 * 10240; EvalClassificationError = 0.29433594 * 10240; time = 0.0505s; samplesPerSecond = 202579.7
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 401- 410, 37.36%]: CrossEntropyWithSoftmax = 0.92476807 * 10240; EvalClassificationError = 0.29873047 * 10240; time = 0.0501s; samplesPerSecond = 204297.4
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 411- 420, 38.27%]: CrossEntropyWithSoftmax = 0.90585022 * 10240; EvalClassificationError = 0.29492188 * 10240; time = 0.0506s; samplesPerSecond = 202327.6
08/17/2016 10:08:39:  Epoch[25 of 25]-Minibatch[ 421- 430, 39.18%]: CrossEntropyWithSoftmax = 0.92339783 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0504s; samplesPerSecond = 203090.0
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 431- 440, 40.09%]: CrossEntropyWithSoftmax = 0.91692200 * 10240; EvalClassificationError = 0.29960938 * 10240; time = 0.0506s; samplesPerSecond = 202287.6
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 441- 450, 41.00%]: CrossEntropyWithSoftmax = 0.90428772 * 10240; EvalClassificationError = 0.30107422 * 10240; time = 0.0504s; samplesPerSecond = 203102.1
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 451- 460, 41.91%]: CrossEntropyWithSoftmax = 0.92494202 * 10240; EvalClassificationError = 0.30273438 * 10240; time = 0.0505s; samplesPerSecond = 202792.4
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 461- 470, 42.82%]: CrossEntropyWithSoftmax = 0.89723816 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0505s; samplesPerSecond = 202816.5
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 471- 480, 43.74%]: CrossEntropyWithSoftmax = 0.92135925 * 10240; EvalClassificationError = 0.29687500 * 10240; time = 0.0507s; samplesPerSecond = 201956.5
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 481- 490, 44.65%]: CrossEntropyWithSoftmax = 0.90941467 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0507s; samplesPerSecond = 201976.4
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 491- 500, 45.56%]: CrossEntropyWithSoftmax = 0.90419922 * 10240; EvalClassificationError = 0.28349609 * 10240; time = 0.0505s; samplesPerSecond = 202667.9
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 501- 510, 46.47%]: CrossEntropyWithSoftmax = 0.90725708 * 10240; EvalClassificationError = 0.29228516 * 10240; time = 0.0506s; samplesPerSecond = 202279.6
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 511- 520, 47.38%]: CrossEntropyWithSoftmax = 0.94339905 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0505s; samplesPerSecond = 202575.7
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 521- 530, 48.29%]: CrossEntropyWithSoftmax = 0.94253845 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0506s; samplesPerSecond = 202307.6
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 531- 540, 49.20%]: CrossEntropyWithSoftmax = 0.91472168 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0505s; samplesPerSecond = 202587.7
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 541- 550, 50.11%]: CrossEntropyWithSoftmax = 0.91998291 * 10240; EvalClassificationError = 0.29541016 * 10240; time = 0.0507s; samplesPerSecond = 201960.4
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 551- 560, 51.03%]: CrossEntropyWithSoftmax = 0.90923157 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0505s; samplesPerSecond = 202708.1
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 561- 570, 51.94%]: CrossEntropyWithSoftmax = 0.93679199 * 10240; EvalClassificationError = 0.30185547 * 10240; time = 0.0507s; samplesPerSecond = 202004.3
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 571- 580, 52.85%]: CrossEntropyWithSoftmax = 0.89736328 * 10240; EvalClassificationError = 0.29384766 * 10240; time = 0.0506s; samplesPerSecond = 202499.6
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 581- 590, 53.76%]: CrossEntropyWithSoftmax = 0.92739868 * 10240; EvalClassificationError = 0.30214844 * 10240; time = 0.0502s; samplesPerSecond = 203813.5
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 591- 600, 54.67%]: CrossEntropyWithSoftmax = 0.91760254 * 10240; EvalClassificationError = 0.29257813 * 10240; time = 0.0508s; samplesPerSecond = 201578.8
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 601- 610, 55.58%]: CrossEntropyWithSoftmax = 0.91359863 * 10240; EvalClassificationError = 0.29775391 * 10240; time = 0.0507s; samplesPerSecond = 202016.2
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 611- 620, 56.49%]: CrossEntropyWithSoftmax = 0.93423462 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0507s; samplesPerSecond = 202171.8
08/17/2016 10:08:40:  Epoch[25 of 25]-Minibatch[ 621- 630, 57.40%]: CrossEntropyWithSoftmax = 0.92847900 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0506s; samplesPerSecond = 202507.6
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 631- 640, 58.31%]: CrossEntropyWithSoftmax = 0.93107300 * 10240; EvalClassificationError = 0.30117187 * 10240; time = 0.0504s; samplesPerSecond = 203158.5
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 641- 650, 59.23%]: CrossEntropyWithSoftmax = 0.89279785 * 10240; EvalClassificationError = 0.28681641 * 10240; time = 0.0505s; samplesPerSecond = 202973.2
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 651- 660, 60.14%]: CrossEntropyWithSoftmax = 0.92443237 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0506s; samplesPerSecond = 202431.6
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 661- 670, 61.05%]: CrossEntropyWithSoftmax = 0.92264404 * 10240; EvalClassificationError = 0.29794922 * 10240; time = 0.0500s; samplesPerSecond = 205000.9
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 671- 680, 61.96%]: CrossEntropyWithSoftmax = 0.93008423 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0499s; samplesPerSecond = 205268.0
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 681- 690, 62.87%]: CrossEntropyWithSoftmax = 0.90889893 * 10240; EvalClassificationError = 0.29833984 * 10240; time = 0.0499s; samplesPerSecond = 205403.9
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 691- 700, 63.78%]: CrossEntropyWithSoftmax = 0.94473267 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0500s; samplesPerSecond = 204980.4
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 701- 710, 64.69%]: CrossEntropyWithSoftmax = 0.91985474 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0505s; samplesPerSecond = 202816.5
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 711- 720, 65.60%]: CrossEntropyWithSoftmax = 0.91525879 * 10240; EvalClassificationError = 0.29531250 * 10240; time = 0.0505s; samplesPerSecond = 202611.8
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 721- 730, 66.51%]: CrossEntropyWithSoftmax = 0.90765991 * 10240; EvalClassificationError = 0.30400391 * 10240; time = 0.0506s; samplesPerSecond = 202307.6
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 731- 740, 67.43%]: CrossEntropyWithSoftmax = 0.92790527 * 10240; EvalClassificationError = 0.30302734 * 10240; time = 0.0506s; samplesPerSecond = 202503.6
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 741- 750, 68.34%]: CrossEntropyWithSoftmax = 0.91585693 * 10240; EvalClassificationError = 0.30175781 * 10240; time = 0.0506s; samplesPerSecond = 202471.6
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 751- 760, 69.25%]: CrossEntropyWithSoftmax = 0.91891479 * 10240; EvalClassificationError = 0.30048828 * 10240; time = 0.0506s; samplesPerSecond = 202559.7
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 761- 770, 70.16%]: CrossEntropyWithSoftmax = 0.90518188 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0506s; samplesPerSecond = 202371.5
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 771- 780, 71.07%]: CrossEntropyWithSoftmax = 0.92461548 * 10240; EvalClassificationError = 0.30312500 * 10240; time = 0.0503s; samplesPerSecond = 203554.2
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 781- 790, 71.98%]: CrossEntropyWithSoftmax = 0.91540527 * 10240; EvalClassificationError = 0.29931641 * 10240; time = 0.0508s; samplesPerSecond = 201574.8
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 791- 800, 72.89%]: CrossEntropyWithSoftmax = 0.92216797 * 10240; EvalClassificationError = 0.30019531 * 10240; time = 0.0505s; samplesPerSecond = 202639.9
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 801- 810, 73.80%]: CrossEntropyWithSoftmax = 0.93258057 * 10240; EvalClassificationError = 0.30332031 * 10240; time = 0.0507s; samplesPerSecond = 202024.2
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 811- 820, 74.72%]: CrossEntropyWithSoftmax = 0.91142578 * 10240; EvalClassificationError = 0.29199219 * 10240; time = 0.0507s; samplesPerSecond = 201948.5
08/17/2016 10:08:41:  Epoch[25 of 25]-Minibatch[ 821- 830, 75.63%]: CrossEntropyWithSoftmax = 0.91330566 * 10240; EvalClassificationError = 0.29658203 * 10240; time = 0.0506s; samplesPerSecond = 202407.5
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 831- 840, 76.54%]: CrossEntropyWithSoftmax = 0.90944214 * 10240; EvalClassificationError = 0.29716797 * 10240; time = 0.0507s; samplesPerSecond = 201837.0
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 841- 850, 77.45%]: CrossEntropyWithSoftmax = 0.92178345 * 10240; EvalClassificationError = 0.30068359 * 10240; time = 0.0509s; samplesPerSecond = 201123.5
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 851- 860, 78.36%]: CrossEntropyWithSoftmax = 0.92628174 * 10240; EvalClassificationError = 0.29912109 * 10240; time = 0.0503s; samplesPerSecond = 203740.5
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 861- 870, 79.27%]: CrossEntropyWithSoftmax = 0.92941895 * 10240; EvalClassificationError = 0.30322266 * 10240; time = 0.0500s; samplesPerSecond = 204800.0
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 871- 880, 80.18%]: CrossEntropyWithSoftmax = 0.93046265 * 10240; EvalClassificationError = 0.29785156 * 10240; time = 0.0498s; samplesPerSecond = 205705.1
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 881- 890, 81.09%]: CrossEntropyWithSoftmax = 0.89587402 * 10240; EvalClassificationError = 0.29208984 * 10240; time = 0.0501s; samplesPerSecond = 204554.5
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 891- 900, 82.00%]: CrossEntropyWithSoftmax = 0.93773193 * 10240; EvalClassificationError = 0.30507812 * 10240; time = 0.0497s; samplesPerSecond = 205837.4
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 901- 910, 82.92%]: CrossEntropyWithSoftmax = 0.92526245 * 10240; EvalClassificationError = 0.30029297 * 10240; time = 0.0500s; samplesPerSecond = 204980.4
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 911- 920, 83.83%]: CrossEntropyWithSoftmax = 0.93618164 * 10240; EvalClassificationError = 0.30458984 * 10240; time = 0.0496s; samplesPerSecond = 206418.3
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 921- 930, 84.74%]: CrossEntropyWithSoftmax = 0.91574707 * 10240; EvalClassificationError = 0.29697266 * 10240; time = 0.0499s; samplesPerSecond = 205083.0
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 931- 940, 85.65%]: CrossEntropyWithSoftmax = 0.90997314 * 10240; EvalClassificationError = 0.29921875 * 10240; time = 0.0498s; samplesPerSecond = 205738.2
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 941- 950, 86.56%]: CrossEntropyWithSoftmax = 0.90850830 * 10240; EvalClassificationError = 0.29345703 * 10240; time = 0.0500s; samplesPerSecond = 204755.0
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 951- 960, 87.47%]: CrossEntropyWithSoftmax = 0.92994385 * 10240; EvalClassificationError = 0.30126953 * 10240; time = 0.0499s; samplesPerSecond = 205161.1
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 961- 970, 88.38%]: CrossEntropyWithSoftmax = 0.91092529 * 10240; EvalClassificationError = 0.29423828 * 10240; time = 0.0500s; samplesPerSecond = 204865.6
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 971- 980, 89.29%]: CrossEntropyWithSoftmax = 0.90999756 * 10240; EvalClassificationError = 0.29863281 * 10240; time = 0.0499s; samplesPerSecond = 205272.1
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 981- 990, 90.21%]: CrossEntropyWithSoftmax = 0.92437134 * 10240; EvalClassificationError = 0.29804687 * 10240; time = 0.0502s; samplesPerSecond = 203915.0
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[ 991-1000, 91.12%]: CrossEntropyWithSoftmax = 0.90198975 * 10240; EvalClassificationError = 0.29052734 * 10240; time = 0.0507s; samplesPerSecond = 201944.5
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[1001-1010, 92.03%]: CrossEntropyWithSoftmax = 0.91272583 * 10240; EvalClassificationError = 0.29736328 * 10240; time = 0.0508s; samplesPerSecond = 201507.4
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[1011-1020, 92.94%]: CrossEntropyWithSoftmax = 0.91094360 * 10240; EvalClassificationError = 0.29482422 * 10240; time = 0.0518s; samplesPerSecond = 197610.9
08/17/2016 10:08:42:  Epoch[25 of 25]-Minibatch[1021-1030, 93.85%]: CrossEntropyWithSoftmax = 0.91721191 * 10240; EvalClassificationError = 0.29707031 * 10240; time = 0.0510s; samplesPerSecond = 200961.6
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1031-1040, 94.76%]: CrossEntropyWithSoftmax = 0.92911377 * 10240; EvalClassificationError = 0.29072266 * 10240; time = 0.0507s; samplesPerSecond = 201785.3
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1041-1050, 95.67%]: CrossEntropyWithSoftmax = 0.91797485 * 10240; EvalClassificationError = 0.30195312 * 10240; time = 0.0504s; samplesPerSecond = 203271.4
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1051-1060, 96.58%]: CrossEntropyWithSoftmax = 0.92665405 * 10240; EvalClassificationError = 0.30156250 * 10240; time = 0.0502s; samplesPerSecond = 203793.3
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1061-1070, 97.49%]: CrossEntropyWithSoftmax = 0.90495605 * 10240; EvalClassificationError = 0.29746094 * 10240; time = 0.0502s; samplesPerSecond = 204041.0
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1071-1080, 98.41%]: CrossEntropyWithSoftmax = 0.91041870 * 10240; EvalClassificationError = 0.29375000 * 10240; time = 0.0500s; samplesPerSecond = 204669.0
08/17/2016 10:08:43:  Epoch[25 of 25]-Minibatch[1081-1090, 99.32%]: CrossEntropyWithSoftmax = 0.91621094 * 10240; EvalClassificationError = 0.29560547 * 10240; time = 0.0499s; samplesPerSecond = 205070.7
08/17/2016 10:08:43: Finished Epoch[25 of 25]: [Training] CrossEntropyWithSoftmax = 0.91757048 * 1124823; EvalClassificationError = 0.29763083 * 1124823; totalSamplesSeen = 28120575; learningRatePerSample = 7.8124998e-05; epochTime=5.74227s
08/17/2016 10:08:43: SGD: Saving checkpoint model '/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn'
08/17/2016 10:08:43: CNTKCommandTrainEnd: TIMIT_TrainSimple

08/17/2016 10:08:43: Action "train" complete.

08/17/2016 10:08:43: __COMPLETED__
=== Running /home/philly/jenkins/workspace/CNTK-Test-Linux-W1/build/gpu/release/bin/cntk configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_WriteScaledLogLike.cntk currentDirectory=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DataDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu DeviceId=0 timestamping=true LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp DeviceNumber=0 TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]
-------------------------------------------------------------------
Build info: 

		Built time: Aug 17 2016 08:26:36
		Last modified date: Wed Aug 17 08:14:22 2016
		Build type: release
		Build target: GPU
		Math lib: mkl
		CUDA_PATH: /usr/local/cuda-7.5
		CUB_PATH: /usr/local/cub-1.4.1
		CUDNN_PATH: /usr/local/cudnn-4.0
		Build Branch: HEAD
		Build SHA1: 9a24eb41c0ca4dceef671d0b80767cc851d73a14
		Built by philly on 643085f7f8c2
		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
-------------------------------------------------------------------
Changed current directory to /tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
08/17/2016 10:08:46: -------------------------------------------------------------------
08/17/2016 10:08:46: Build info: 

08/17/2016 10:08:46: 		Built time: Aug 17 2016 08:26:36
08/17/2016 10:08:46: 		Last modified date: Wed Aug 17 08:14:22 2016
08/17/2016 10:08:46: 		Build type: release
08/17/2016 10:08:46: 		Build target: GPU
08/17/2016 10:08:46: 		Math lib: mkl
08/17/2016 10:08:46: 		CUDA_PATH: /usr/local/cuda-7.5
08/17/2016 10:08:46: 		CUB_PATH: /usr/local/cub-1.4.1
08/17/2016 10:08:46: 		CUDNN_PATH: /usr/local/cudnn-4.0
08/17/2016 10:08:46: 		Build Branch: HEAD
08/17/2016 10:08:46: 		Build SHA1: 9a24eb41c0ca4dceef671d0b80767cc851d73a14
08/17/2016 10:08:46: 		Built by philly on 643085f7f8c2
08/17/2016 10:08:46: 		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
08/17/2016 10:08:46: -------------------------------------------------------------------
08/17/2016 10:08:47: -------------------------------------------------------------------
08/17/2016 10:08:47: GPU info:

08/17/2016 10:08:47: 		Device[0]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:08:47: 		Device[1]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:08:47: 		Device[2]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:08:47: 		Device[3]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/17/2016 10:08:47: -------------------------------------------------------------------

08/17/2016 10:08:47: Running on localhost at 2016/08/17 10:08:47
08/17/2016 10:08:47: Command line: 
/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/build/gpu/release/bin/cntk  configFile=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_WriteScaledLogLike.cntk  currentDirectory=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData  RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DataDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData  ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu  DeviceId=0  timestamping=true  LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp  DeviceNumber=0  TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]



08/17/2016 10:08:47: >>>>>>>>>>>>>>>>>>>> RAW CONFIG (VARIABLES NOT RESOLVED) >>>>>>>>>>>>>>>>>>>>
08/17/2016 10:08:47: initOnCPUOnly=true
command=TIMIT_WriteScaledLogLike
precision=float
TIMIT_WriteScaledLogLike=[
    action=write
    modelPath=$ExpDir$/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=$DeviceNumber$
    traceLevel=1
    outputNodeNames=ScaledLogLikelihood
    reader=[
        readerType=HTKMLFReader
        features=[
            dim=792
            scpFile=$ScpDir$/TIMIT.core.scp.fbank.fullpath
            type=Real
        ]
    ]
    writer=[
        writerType=HTKMLFWriter	
        ScaledLogLikelihood = [
            dim=183
            scpFile=$ScpDir$/TIMIT.core.scp.scaledloglike.fullpath
            type=Real
        ]
    ]
]
currentDirectory=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DataDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
DeviceNumber=0
TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]

08/17/2016 10:08:47: <<<<<<<<<<<<<<<<<<<< RAW CONFIG (VARIABLES NOT RESOLVED)  <<<<<<<<<<<<<<<<<<<<

08/17/2016 10:08:47: >>>>>>>>>>>>>>>>>>>> RAW CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
08/17/2016 10:08:47: initOnCPUOnly=true
command=TIMIT_WriteScaledLogLike
precision=float
TIMIT_WriteScaledLogLike=[
    action=write
    modelPath=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    outputNodeNames=ScaledLogLikelihood
    reader=[
        readerType=HTKMLFReader
        features=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.fbank.fullpath
            type=Real
        ]
    ]
    writer=[
        writerType=HTKMLFWriter	
        ScaledLogLikelihood = [
            dim=183
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.scaledloglike.fullpath
            type=Real
        ]
    ]
]
currentDirectory=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DataDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/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-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
DeviceNumber=0
TIMIT_WriteScaledLogLike=[reader=[useMersenneTwisterRand=true]]

08/17/2016 10:08:47: <<<<<<<<<<<<<<<<<<<< RAW CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<

08/17/2016 10:08:47: >>>>>>>>>>>>>>>>>>>> PROCESSED CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
configparameters: TIMIT_WriteScaledLogLike.cntk:command=TIMIT_WriteScaledLogLike
configparameters: TIMIT_WriteScaledLogLike.cntk:ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_WriteScaledLogLike.cntk:currentDirectory=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
configparameters: TIMIT_WriteScaledLogLike.cntk:DataDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/TestData
configparameters: TIMIT_WriteScaledLogLike.cntk:DeviceId=0
configparameters: TIMIT_WriteScaledLogLike.cntk:DeviceNumber=0
configparameters: TIMIT_WriteScaledLogLike.cntk:ExpDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp
configparameters: TIMIT_WriteScaledLogLike.cntk:initOnCPUOnly=true
configparameters: TIMIT_WriteScaledLogLike.cntk:LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib
configparameters: TIMIT_WriteScaledLogLike.cntk:MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_WriteScaledLogLike.cntk:MlfDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_WriteScaledLogLike.cntk:NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/WriteScaledLogLike/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_WriteScaledLogLike.cntk:OutputDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
configparameters: TIMIT_WriteScaledLogLike.cntk:precision=float
configparameters: TIMIT_WriteScaledLogLike.cntk:RunDir=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu
configparameters: TIMIT_WriteScaledLogLike.cntk:ScpDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_WriteScaledLogLike.cntk:timestamping=true
configparameters: TIMIT_WriteScaledLogLike.cntk:TIMIT_WriteScaledLogLike=[
    action=write
    modelPath=/tmp/cntk-test-20160817091647.22122/Examples/Speech/TIMIT_WriteScaledLogLike@release_gpu/exp/TrainSimpleNetwork/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    outputNodeNames=ScaledLogLikelihood
    reader=[
        readerType=HTKMLFReader
        features=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.fbank.fullpath
            type=Real
        ]
    ]
    writer=[
        writerType=HTKMLFWriter	
        ScaledLogLikelihood = [
            dim=183
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.core.scp.scaledloglike.fullpath
            type=Real
        ]
    ]
] [reader=[useMersenneTwisterRand=true]]

08/17/2016 10:08:47: <<<<<<<<<<<<<<<<<<<< PROCESSED CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<
08/17/2016 10:08:47: Commands: TIMIT_WriteScaledLogLike
08/17/2016 10:08:47: Precision = "float"
08/17/2016 10:08:47: CNTKCommandTrainInfo: CNTKNoMoreCommands_Total : 0

08/17/2016 10:08:47: ##############################################################################
08/17/2016 10:08:47: #                                                                            #
08/17/2016 10:08:47: # Action "write"                                                             #
08/17/2016 10:08:47: #                                                                            #
08/17/2016 10:08:47: ##############################################################################

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.



14 out of 30 nodes do not share the minibatch layout with the input data.

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
evaluate: writing 550 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-si1386.mfc
evaluate: reading 338 frames of test-dr1-felc0-si2016.fbank_zda
evaluate: writing 338 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-si2016.mfc
evaluate: reading 417 frames of test-dr1-felc0-si756.fbank_zda
evaluate: writing 417 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-si756.mfc
evaluate: reading 289 frames of test-dr1-felc0-sx126.fbank_zda
evaluate: writing 289 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-sx126.mfc
evaluate: reading 218 frames of test-dr1-felc0-sx216.fbank_zda
evaluate: writing 218 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-sx216.mfc
evaluate: reading 248 frames of test-dr1-felc0-sx306.fbank_zda
evaluate: writing 248 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-sx306.mfc
evaluate: reading 350 frames of test-dr1-felc0-sx36.fbank_zda
evaluate: writing 350 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-sx36.mfc
evaluate: reading 380 frames of test-dr1-felc0-sx396.fbank_zda
evaluate: writing 380 frames of scaledloglike/test/dr1/felc0/test-dr1-felc0-sx396.mfc
evaluate: reading 392 frames of test-dr1-mdab0-si1039.fbank_zda
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evaluate: writing 212 frames of scaledloglike/test/dr6/mjdh0/test-dr6-mjdh0-sx184.mfc
evaluate: reading 312 frames of test-dr6-mjdh0-sx274.fbank_zda
evaluate: writing 312 frames of scaledloglike/test/dr6/mjdh0/test-dr6-mjdh0-sx274.mfc
evaluate: reading 440 frames of test-dr6-mjdh0-sx364.fbank_zda
evaluate: writing 440 frames of scaledloglike/test/dr6/mjdh0/test-dr6-mjdh0-sx364.mfc
evaluate: reading 230 frames of test-dr6-mjdh0-sx4.fbank_zda
evaluate: writing 230 frames of scaledloglike/test/dr6/mjdh0/test-dr6-mjdh0-sx4.mfc
evaluate: reading 271 frames of test-dr6-mjdh0-sx94.fbank_zda
evaluate: writing 271 frames of scaledloglike/test/dr6/mjdh0/test-dr6-mjdh0-sx94.mfc
evaluate: reading 338 frames of test-dr7-fdhc0-si1559.fbank_zda
evaluate: writing 338 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-si1559.mfc
evaluate: reading 223 frames of test-dr7-fdhc0-si2189.fbank_zda
evaluate: writing 223 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-si2189.mfc
evaluate: reading 284 frames of test-dr7-fdhc0-si929.fbank_zda
evaluate: writing 284 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-si929.mfc
evaluate: reading 301 frames of test-dr7-fdhc0-sx119.fbank_zda
evaluate: writing 301 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-sx119.mfc
evaluate: reading 255 frames of test-dr7-fdhc0-sx209.fbank_zda
evaluate: writing 255 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-sx209.mfc
evaluate: reading 252 frames of test-dr7-fdhc0-sx29.fbank_zda
evaluate: writing 252 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-sx29.mfc
evaluate: reading 319 frames of test-dr7-fdhc0-sx299.fbank_zda
evaluate: writing 319 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-sx299.mfc
evaluate: reading 244 frames of test-dr7-fdhc0-sx389.fbank_zda
evaluate: writing 244 frames of scaledloglike/test/dr7/fdhc0/test-dr7-fdhc0-sx389.mfc
evaluate: reading 619 frames of test-dr7-mgrt0-si1450.fbank_zda
evaluate: writing 619 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-si1450.mfc
evaluate: reading 229 frames of test-dr7-mgrt0-si2080.fbank_zda
evaluate: writing 229 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-si2080.mfc
evaluate: reading 610 frames of test-dr7-mgrt0-si820.fbank_zda
evaluate: writing 610 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-si820.mfc
evaluate: reading 299 frames of test-dr7-mgrt0-sx10.fbank_zda
evaluate: writing 299 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-sx10.mfc
evaluate: reading 491 frames of test-dr7-mgrt0-sx100.fbank_zda
evaluate: writing 491 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-sx100.mfc
evaluate: reading 287 frames of test-dr7-mgrt0-sx190.fbank_zda
evaluate: writing 287 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-sx190.mfc
evaluate: reading 196 frames of test-dr7-mgrt0-sx280.fbank_zda
evaluate: writing 196 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-sx280.mfc
evaluate: reading 334 frames of test-dr7-mgrt0-sx370.fbank_zda
evaluate: writing 334 frames of scaledloglike/test/dr7/mgrt0/test-dr7-mgrt0-sx370.mfc
evaluate: reading 298 frames of test-dr7-mnjm0-si1580.fbank_zda
evaluate: writing 298 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-si1580.mfc
evaluate: reading 202 frames of test-dr7-mnjm0-si2210.fbank_zda
evaluate: writing 202 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-si2210.mfc
evaluate: reading 545 frames of test-dr7-mnjm0-si950.fbank_zda
evaluate: writing 545 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-si950.mfc
evaluate: reading 288 frames of test-dr7-mnjm0-sx140.fbank_zda
evaluate: writing 288 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-sx140.mfc
evaluate: reading 353 frames of test-dr7-mnjm0-sx230.fbank_zda
evaluate: writing 353 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-sx230.mfc
evaluate: reading 379 frames of test-dr7-mnjm0-sx320.fbank_zda
evaluate: writing 379 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-sx320.mfc
evaluate: reading 273 frames of test-dr7-mnjm0-sx410.fbank_zda
evaluate: writing 273 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-sx410.mfc
evaluate: reading 338 frames of test-dr7-mnjm0-sx50.fbank_zda
evaluate: writing 338 frames of scaledloglike/test/dr7/mnjm0/test-dr7-mnjm0-sx50.mfc
evaluate: reading 356 frames of test-dr8-fmld0-si2185.fbank_zda
evaluate: writing 356 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-si2185.mfc
evaluate: reading 363 frames of test-dr8-fmld0-si822.fbank_zda
evaluate: writing 363 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-si822.mfc
evaluate: reading 210 frames of test-dr8-fmld0-si925.fbank_zda
evaluate: writing 210 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-si925.mfc
evaluate: reading 237 frames of test-dr8-fmld0-sx115.fbank_zda
evaluate: writing 237 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-sx115.mfc
evaluate: reading 305 frames of test-dr8-fmld0-sx205.fbank_zda
evaluate: writing 305 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-sx205.mfc
evaluate: reading 189 frames of test-dr8-fmld0-sx25.fbank_zda
evaluate: writing 189 frames of scaledloglike/test/dr8/fmld0/test-dr8-fmld0-sx25.mfc
evaluate: reading 308 frames of test-dr8-fmld0-sx295.fbank_zda
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

08/17/2016 10:08:47: Action "write" complete.

08/17/2016 10:08:47: __COMPLETED__
Write succeeded.
