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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_TrainMultiInput.cntk currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR RunDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu DataDir=/home/philly/data/CNTKTestData/Speech/ASR ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config OutputDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu DeviceId=0 timestamping=true LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config ExpDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp DeviceNumber=0 TIMIT_TrainMultiInput=[reader=[useMersenneTwisterRand=true]]
-------------------------------------------------------------------
Build info: 

		Built time: Aug 16 2016 09:41:57
		Last modified date: Mon Aug 15 23:39:17 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: 026b1e772b963461e189f8f00aa7ed6951298f84
		Built by philly on 643085f7f8c2
		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
-------------------------------------------------------------------
Changed current directory to /home/philly/data/CNTKTestData/Speech/ASR
08/16/2016 10:36:06: -------------------------------------------------------------------
08/16/2016 10:36:06: Build info: 

08/16/2016 10:36:06: 		Built time: Aug 16 2016 09:41:57
08/16/2016 10:36:06: 		Last modified date: Mon Aug 15 23:39:17 2016
08/16/2016 10:36:06: 		Build type: release
08/16/2016 10:36:06: 		Build target: GPU
08/16/2016 10:36:06: 		Math lib: mkl
08/16/2016 10:36:06: 		CUDA_PATH: /usr/local/cuda-7.5
08/16/2016 10:36:06: 		CUB_PATH: /usr/local/cub-1.4.1
08/16/2016 10:36:06: 		CUDNN_PATH: /usr/local/cudnn-4.0
08/16/2016 10:36:06: 		Build Branch: HEAD
08/16/2016 10:36:06: 		Build SHA1: 026b1e772b963461e189f8f00aa7ed6951298f84
08/16/2016 10:36:06: 		Built by philly on 643085f7f8c2
08/16/2016 10:36:06: 		Build Path: /home/philly/jenkins/workspace/CNTK-Build-Linux
08/16/2016 10:36:06: -------------------------------------------------------------------
08/16/2016 10:36:06: -------------------------------------------------------------------
08/16/2016 10:36:06: GPU info:

08/16/2016 10:36:06: 		Device[0]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/16/2016 10:36:06: 		Device[1]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/16/2016 10:36:06: 		Device[2]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/16/2016 10:36:06: 		Device[3]: cores = 2880; computeCapability = 3.5; type = "GeForce GTX 780 Ti"; memory = 3071 MB
08/16/2016 10:36:06: -------------------------------------------------------------------

08/16/2016 10:36:06: Running on localhost at 2016/08/16 10:36:06
08/16/2016 10:36:06: 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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/TIMIT_TrainMultiInput.cntk  currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR  RunDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu  DataDir=/home/philly/data/CNTKTestData/Speech/ASR  ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  OutputDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu  DeviceId=0  timestamping=true  LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config  ExpDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp  DeviceNumber=0  TIMIT_TrainMultiInput=[reader=[useMersenneTwisterRand=true]]



08/16/2016 10:36:06: >>>>>>>>>>>>>>>>>>>> RAW CONFIG (VARIABLES NOT RESOLVED) >>>>>>>>>>>>>>>>>>>>
08/16/2016 10:36:06: initOnCPUOnly=true
command=TIMIT_TrainMultiInput
precision=float
TIMIT_TrainMultiInput=[
    action=train
    modelPath=$ExpDir$/TrainMultiInput/model/cntkSpeech.dnn
    deviceId=$DeviceNumber$
    traceLevel=1
    NDLNetworkBuilder=[
        ndlMacros=$NdlDir$/default_macros.ndl
        networkDescription=$NdlDir$/mtl_fbank_mfcc.ndl
    ]
    SGD=[
        epochSize=0
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features1=[
            dim=792
            scpFile=$ScpDir$/TIMIT.train.scp.fbank.fullpath.rnn
            type=Real
        ]
        features2=[
            dim=39
            scpFile=$ScpDir$/TIMIT.train.scp.mfcc.fullpath.rnn
            type=Real
        ]
        labels=[
            mlfFile=$MlfDir$/TIMIT.train.align_cistate.mlf.cntk
            labelMappingFile=$MlfDir$/TIMIT.statelist
            labelDim=183
            labelType=Category
        ]
    ]
]
currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
RunDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
DataDir=/home/philly/data/CNTKTestData/Speech/ASR
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp
DeviceNumber=0
TIMIT_TrainMultiInput=[reader=[useMersenneTwisterRand=true]]

08/16/2016 10:36:06: <<<<<<<<<<<<<<<<<<<< RAW CONFIG (VARIABLES NOT RESOLVED)  <<<<<<<<<<<<<<<<<<<<

08/16/2016 10:36:06: >>>>>>>>>>>>>>>>>>>> RAW CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
08/16/2016 10:36:06: initOnCPUOnly=true
command=TIMIT_TrainMultiInput
precision=float
TIMIT_TrainMultiInput=[
    action=train
    modelPath=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    NDLNetworkBuilder=[
        ndlMacros=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/default_macros.ndl
        networkDescription=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/mtl_fbank_mfcc.ndl
    ]
    SGD=[
        epochSize=0
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features1=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn
            type=Real
        ]
        features2=[
            dim=39
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.mfcc.fullpath.rnn
            type=Real
        ]
        labels=[
            mlfFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.align_cistate.mlf.cntk
            labelMappingFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.statelist
            labelDim=183
            labelType=Category
        ]
    ]
]
currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
RunDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
DataDir=/home/philly/data/CNTKTestData/Speech/ASR
ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
OutputDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
DeviceId=0
timestamping=true
LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../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/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
ExpDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp
DeviceNumber=0
TIMIT_TrainMultiInput=[reader=[useMersenneTwisterRand=true]]

08/16/2016 10:36:06: <<<<<<<<<<<<<<<<<<<< RAW CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<

08/16/2016 10:36:06: >>>>>>>>>>>>>>>>>>>> PROCESSED CONFIG WITH ALL VARIABLES RESOLVED >>>>>>>>>>>>>>>>>>>>
configparameters: TIMIT_TrainMultiInput.cntk:command=TIMIT_TrainMultiInput
configparameters: TIMIT_TrainMultiInput.cntk:ConfigDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainMultiInput.cntk:currentDirectory=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainMultiInput.cntk:DataDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainMultiInput.cntk:DeviceId=0
configparameters: TIMIT_TrainMultiInput.cntk:DeviceNumber=0
configparameters: TIMIT_TrainMultiInput.cntk:ExpDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp
configparameters: TIMIT_TrainMultiInput.cntk:initOnCPUOnly=true
configparameters: TIMIT_TrainMultiInput.cntk:LibDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/../lib
configparameters: TIMIT_TrainMultiInput.cntk:MelDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainMultiInput.cntk:MlfDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainMultiInput.cntk:NdlDir=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config
configparameters: TIMIT_TrainMultiInput.cntk:OutputDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
configparameters: TIMIT_TrainMultiInput.cntk:precision=float
configparameters: TIMIT_TrainMultiInput.cntk:RunDir=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu
configparameters: TIMIT_TrainMultiInput.cntk:ScpDir=/home/philly/data/CNTKTestData/Speech/ASR
configparameters: TIMIT_TrainMultiInput.cntk:timestamping=true
configparameters: TIMIT_TrainMultiInput.cntk:TIMIT_TrainMultiInput=[
    action=train
    modelPath=/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn
    deviceId=0
    traceLevel=1
    NDLNetworkBuilder=[
        ndlMacros=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/default_macros.ndl
        networkDescription=/home/philly/jenkins/workspace/CNTK-Test-Linux-W1/Tests/EndToEndTests/Examples/Speech/TIMIT/TrainMultiInput/../../../../../../Examples/Speech/Miscellaneous/TIMIT/config/mtl_fbank_mfcc.ndl
    ]
    SGD=[
        epochSize=0
        minibatchSize=256:1024
        learningRatesPerMB=0.8:3.2*14:0.08
        momentumPerMB=0.9
        dropoutRate=0.0
        maxEpochs=25
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
        gradientClippingWithTruncation=true
        clippingThresholdPerSample=1#INF
    ]
    reader=[
        readerType=HTKMLFReader
        readMethod=blockRandomize
        miniBatchMode=Partial
        randomize=Auto
        verbosity=0
        features1=[
            dim=792
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn
            type=Real
        ]
        features2=[
            dim=39
            scpFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.mfcc.fullpath.rnn
            type=Real
        ]
        labels=[
            mlfFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.align_cistate.mlf.cntk
            labelMappingFile=/home/philly/data/CNTKTestData/Speech/ASR/TIMIT.statelist
            labelDim=183
            labelType=Category
        ]
    ]
] [reader=[useMersenneTwisterRand=true]]

08/16/2016 10:36:06: <<<<<<<<<<<<<<<<<<<< PROCESSED CONFIG WITH ALL VARIABLES RESOLVED <<<<<<<<<<<<<<<<<<<<
08/16/2016 10:36:06: Commands: TIMIT_TrainMultiInput
08/16/2016 10:36:06: Precision = "float"
08/16/2016 10:36:06: CNTKModelPath: /tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn
08/16/2016 10:36:06: CNTKCommandTrainInfo: TIMIT_TrainMultiInput : 25
08/16/2016 10:36:06: CNTKCommandTrainInfo: CNTKNoMoreCommands_Total : 25

08/16/2016 10:36:06: ##############################################################################
08/16/2016 10:36:06: #                                                                            #
08/16/2016 10:36:06: # Action "train"                                                             #
08/16/2016 10:36:06: #                                                                            #
08/16/2016 10:36:06: ##############################################################################

08/16/2016 10:36:06: CNTKCommandTrainBegin: TIMIT_TrainMultiInput
NDLBuilder Using GPU 0
reading script file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.fbank.fullpath.rnn ... 3696 entries
reading script file /home/philly/data/CNTKTestData/Speech/ASR/TIMIT.train.scp.mfcc.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
....................................................................................................feature set 1: 1124823 frames in 3696 out of 3696 utterances
minibatchutterancesource: 3696 utterances grouped into 13 chunks, av. chunk size: 284.3 utterances, 86524.8 frames

08/16/2016 10:36:07: Creating virgin network.
Node 'L1.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L1.W1' (LearnableParameter operation): Initializing Parameter[512 x 792] <- 0.000000.
Node 'L1.W2' (LearnableParameter operation): Initializing Parameter[512 x 39] <- 0.000000.
Node 'L2.BFF.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L2.BFF.W' (LearnableParameter operation): Initializing Parameter[512 x 512] <- 0.000000.
Node 'L3.BFF.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L3.BFF.W' (LearnableParameter operation): Initializing Parameter[512 x 512] <- 0.000000.
Node 'CE.BFF.B' (LearnableParameter operation): Initializing Parameter[183] <- 0.000000.
Node 'CE.BFF.W' (LearnableParameter operation): Initializing Parameter[183 x 512] <- 0.000000.
Node 'L1.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L1.W1' (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 'L1.W2' (LearnableParameter operation): Initializing Parameter[512 x 39] <- uniform(seed=2, range=0.050000*1.000000, onCPU=false).
Node 'L2.BFF.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L2.BFF.W' (LearnableParameter operation): Initializing Parameter[512 x 512] <- uniform(seed=3, range=0.050000*1.000000, onCPU=false).
Node 'L3.BFF.B' (LearnableParameter operation): Initializing Parameter[512] <- 0.000000.
Node 'L3.BFF.W' (LearnableParameter operation): Initializing Parameter[512 x 512] <- uniform(seed=4, range=0.050000*1.000000, onCPU=false).
Node 'CE.BFF.B' (LearnableParameter operation): Initializing Parameter[183] <- 0.000000.
Node 'CE.BFF.W' (LearnableParameter operation): Initializing Parameter[183 x 512] <- uniform(seed=5, range=0.050000*1.000000, onCPU=false).

Post-processing network...

8 roots:
	CE.SM = CrossEntropyWithSoftmax()
	FER = ClassificationError()
	Prior = Mean()
	ScaledLogLikelihood = Minus()
	featInvStd1 = InvStdDev()
	featInvStd2 = InvStdDev()
	featMean1 = Mean()
	featMean2 = Mean()

Validating network. 36 nodes to process in pass 1.

Validating --> labels = InputValue() :  -> [183 x *]
Validating --> CE.BFF.W = LearnableParameter() :  -> [183 x 512]
Validating --> L3.BFF.W = LearnableParameter() :  -> [512 x 512]
Validating --> L2.BFF.W = LearnableParameter() :  -> [512 x 512]
Validating --> L1.W1 = LearnableParameter() :  -> [512 x 792]
Validating --> features1 = InputValue() :  -> [792 x *]
Validating --> featMean1 = Mean (features1) : [792 x *] -> [792]
Validating --> featInvStd1 = InvStdDev (features1) : [792 x *] -> [792]
Validating --> featInput1 = PerDimMeanVarNormalization (features1, featMean1, featInvStd1) : [792 x *], [792], [792] -> [792 x *]
Validating --> L1.T1 = Times (L1.W1, featInput1) : [512 x 792], [792 x *] -> [512 x *]
Validating --> L1.W2 = LearnableParameter() :  -> [512 x 39]
Validating --> features2 = InputValue() :  -> [39 x *]
Validating --> featMean2 = Mean (features2) : [39 x *] -> [39]
Validating --> featInvStd2 = InvStdDev (features2) : [39 x *] -> [39]
Validating --> featInput2 = PerDimMeanVarNormalization (features2, featMean2, featInvStd2) : [39 x *], [39], [39] -> [39 x *]
Validating --> L1.T2 = Times (L1.W2, featInput2) : [512 x 39], [39 x *] -> [512 x *]
Validating --> L1.P1 = Plus (L1.T1, L1.T2) : [512 x *], [512 x *] -> [512 x *]
Validating --> L1.B = LearnableParameter() :  -> [512]
Validating --> L1.P2 = Plus (L1.P1, L1.B) : [512 x *], [512] -> [512 x *]
Validating --> L1.S = Sigmoid (L1.P2) : [512 x *] -> [512 x *]
Validating --> L2.BFF.FF.T = Times (L2.BFF.W, L1.S) : [512 x 512], [512 x *] -> [512 x *]
Validating --> L2.BFF.B = LearnableParameter() :  -> [512]
Validating --> L2.BFF.FF.P = Plus (L2.BFF.FF.T, L2.BFF.B) : [512 x *], [512] -> [512 x *]
Validating --> L2.S = Sigmoid (L2.BFF.FF.P) : [512 x *] -> [512 x *]
Validating --> L3.BFF.FF.T = Times (L3.BFF.W, L2.S) : [512 x 512], [512 x *] -> [512 x *]
Validating --> L3.BFF.B = LearnableParameter() :  -> [512]
Validating --> L3.BFF.FF.P = Plus (L3.BFF.FF.T, L3.BFF.B) : [512 x *], [512] -> [512 x *]
Validating --> L3.S = Sigmoid (L3.BFF.FF.P) : [512 x *] -> [512 x *]
Validating --> CE.BFF.FF.T = Times (CE.BFF.W, L3.S) : [183 x 512], [512 x *] -> [183 x *]
Validating --> CE.BFF.B = LearnableParameter() :  -> [183]
Validating --> CE.BFF.FF.P = Plus (CE.BFF.FF.T, CE.BFF.B) : [183 x *], [183] -> [183 x *]
Validating --> CE.SM = CrossEntropyWithSoftmax (labels, CE.BFF.FF.P) : [183 x *], [183 x *] -> [1]
Validating --> FER = ClassificationError (labels, CE.BFF.FF.P) : [183 x *], [183 x *] -> [1]
Validating --> Prior = Mean (labels) : [183 x *] -> [183]
Validating --> LogPrior = Log (Prior) : [183] -> [183]
Validating --> ScaledLogLikelihood = Minus (CE.BFF.FF.P, LogPrior) : [183 x *], [183] -> [183 x *]

Validating network. 24 nodes to process in pass 2.


Validating network, final pass.



17 out of 36 nodes do not share the minibatch layout with the input data.

Post-processing network complete.

08/16/2016 10:36:07: Created model with 36 nodes on GPU 0.

08/16/2016 10:36:07: Training criterion node(s):
08/16/2016 10:36:07: 	CE.SM = CrossEntropyWithSoftmax

08/16/2016 10:36:07: Evaluation criterion node(s):
08/16/2016 10:36:07: 	FER = ClassificationError


Allocating matrices for forward and/or backward propagation.

Memory Sharing: Out of 59 matrices, 32 are shared as 13, and 27 are not shared.

	{ L1.T2 : [512 x *]
	  L1.W1 : [512 x 792] (gradient) }
	{ L1.P1 : [512 x *]
	  L1.W2 : [512 x 39] (gradient) }
	{ L1.P2 : [512 x *]
	  L1.T1 : [512 x *] (gradient) }
	{ L1.P1 : [512 x *] (gradient)
	  L1.S : [512 x *] }
	{ L1.P2 : [512 x *] (gradient)
	  L1.T2 : [512 x *] (gradient)
	  L2.BFF.FF.T : [512 x *] }
	{ L2.BFF.FF.P : [512 x *]
	  L2.BFF.W : [512 x 512] (gradient) }
	{ L2.BFF.FF.T : [512 x *] (gradient)
	  L2.S : [512 x *] }
	{ L1.B : [512] (gradient)
	  L1.S : [512 x *] (gradient)
	  L2.BFF.FF.P : [512 x *] (gradient)
	  L3.BFF.FF.T : [512 x *] }
	{ L3.BFF.FF.P : [512 x *]
	  L3.BFF.W : [512 x 512] (gradient) }
	{ L3.BFF.FF.T : [512 x *] (gradient)
	  L3.S : [512 x *] }
	{ CE.BFF.FF.T : [183 x *]
	  L2.BFF.B : [512] (gradient)
	  L2.S : [512 x *] (gradient)
	  L3.BFF.FF.P : [512 x *] (gradient) }
	{ CE.BFF.FF.P : [183 x *]
	  CE.BFF.W : [183 x 512] (gradient) }
	{ CE.BFF.FF.P : [183 x *] (gradient)
	  L3.BFF.B : [512] (gradient)
	  L3.S : [512 x *] (gradient) }


08/16/2016 10:36:07: Training 1045175 parameters in 9 out of 9 parameter tensors and 23 nodes with gradient:

08/16/2016 10:36:07: 	Node 'CE.BFF.B' (LearnableParameter operation) : [183]
08/16/2016 10:36:07: 	Node 'CE.BFF.W' (LearnableParameter operation) : [183 x 512]
08/16/2016 10:36:07: 	Node 'L1.B' (LearnableParameter operation) : [512]
08/16/2016 10:36:07: 	Node 'L1.W1' (LearnableParameter operation) : [512 x 792]
08/16/2016 10:36:07: 	Node 'L1.W2' (LearnableParameter operation) : [512 x 39]
08/16/2016 10:36:07: 	Node 'L2.BFF.B' (LearnableParameter operation) : [512]
08/16/2016 10:36:07: 	Node 'L2.BFF.W' (LearnableParameter operation) : [512 x 512]
08/16/2016 10:36:07: 	Node 'L3.BFF.B' (LearnableParameter operation) : [512]
08/16/2016 10:36:07: 	Node 'L3.BFF.W' (LearnableParameter operation) : [512 x 512]


08/16/2016 10:36:07: Precomputing --> 5 PreCompute nodes found.

08/16/2016 10:36:07: 	featMean1 = Mean()
08/16/2016 10:36:07: 	featInvStd1 = InvStdDev()
08/16/2016 10:36:07: 	featMean2 = Mean()
08/16/2016 10:36:07: 	featInvStd2 = InvStdDev()
08/16/2016 10:36:07: 	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
requiredata: determined feature kind as 39-dimensional 'MFCC_D_A_Z_0' with frame shift 10.0 ms

08/16/2016 10:36:12: Precomputing --> Completed.


08/16/2016 10:36:12: 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

08/16/2016 10:36:12: Starting minibatch loop.
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[   1-  10]: CE.SM = 5.03106766 * 2560; FER = 0.96953125 * 2560; time = 0.0281s; samplesPerSecond = 91190.8
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  11-  20]: CE.SM = 4.94416580 * 2560; FER = 0.96679688 * 2560; time = 0.0245s; samplesPerSecond = 104477.0
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  21-  30]: CE.SM = 4.92318268 * 2560; FER = 0.94960937 * 2560; time = 0.0247s; samplesPerSecond = 103631.1
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  31-  40]: CE.SM = 4.93487854 * 2560; FER = 0.95976562 * 2560; time = 0.0247s; samplesPerSecond = 103455.2
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  41-  50]: CE.SM = 4.90608521 * 2560; FER = 0.95976562 * 2560; time = 0.0247s; samplesPerSecond = 103757.1
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  51-  60]: CE.SM = 4.91332703 * 2560; FER = 0.95976562 * 2560; time = 0.0245s; samplesPerSecond = 104451.4
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  61-  70]: CE.SM = 4.88935242 * 2560; FER = 0.95781250 * 2560; time = 0.0247s; samplesPerSecond = 103518.0
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  71-  80]: CE.SM = 4.88750305 * 2560; FER = 0.95781250 * 2560; time = 0.0235s; samplesPerSecond = 108704.9
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  81-  90]: CE.SM = 4.83815002 * 2560; FER = 0.95312500 * 2560; time = 0.0227s; samplesPerSecond = 112974.4
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[  91- 100]: CE.SM = 4.86422119 * 2560; FER = 0.95898438 * 2560; time = 0.0224s; samplesPerSecond = 114209.2
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 101- 110]: CE.SM = 4.82791748 * 2560; FER = 0.95429688 * 2560; time = 0.0226s; samplesPerSecond = 113314.4
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 111- 120]: CE.SM = 4.81399536 * 2560; FER = 0.95078125 * 2560; time = 0.0226s; samplesPerSecond = 113249.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 121- 130]: CE.SM = 4.71914062 * 2560; FER = 0.93984375 * 2560; time = 0.0226s; samplesPerSecond = 113159.2
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 131- 140]: CE.SM = 4.65963135 * 2560; FER = 0.93281250 * 2560; time = 0.0226s; samplesPerSecond = 113294.4
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 141- 150]: CE.SM = 4.61689453 * 2560; FER = 0.91523438 * 2560; time = 0.0228s; samplesPerSecond = 112497.8
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 151- 160]: CE.SM = 4.59305420 * 2560; FER = 0.90625000 * 2560; time = 0.0219s; samplesPerSecond = 116772.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 161- 170]: CE.SM = 4.49457397 * 2560; FER = 0.91406250 * 2560; time = 0.0219s; samplesPerSecond = 117135.7
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 171- 180]: CE.SM = 4.45863037 * 2560; FER = 0.90429688 * 2560; time = 0.0219s; samplesPerSecond = 117017.9
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 181- 190]: CE.SM = 4.37471924 * 2560; FER = 0.90625000 * 2560; time = 0.0217s; samplesPerSecond = 118054.0
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 191- 200]: CE.SM = 4.38922729 * 2560; FER = 0.90117187 * 2560; time = 0.0219s; samplesPerSecond = 116863.0
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 201- 210]: CE.SM = 4.36317749 * 2560; FER = 0.90273437 * 2560; time = 0.0219s; samplesPerSecond = 117012.5
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 211- 220]: CE.SM = 4.29519043 * 2560; FER = 0.90234375 * 2560; time = 0.0219s; samplesPerSecond = 116863.0
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 221- 230]: CE.SM = 4.27854004 * 2560; FER = 0.90585938 * 2560; time = 0.0219s; samplesPerSecond = 116980.4
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 231- 240]: CE.SM = 4.24594727 * 2560; FER = 0.90273437 * 2560; time = 0.0216s; samplesPerSecond = 118655.9
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 241- 250]: CE.SM = 4.17363281 * 2560; FER = 0.90976563 * 2560; time = 0.0219s; samplesPerSecond = 116820.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 251- 260]: CE.SM = 4.18175049 * 2560; FER = 0.88945312 * 2560; time = 0.0219s; samplesPerSecond = 116852.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 261- 270]: CE.SM = 4.12246094 * 2560; FER = 0.88867188 * 2560; time = 0.0219s; samplesPerSecond = 117151.7
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 271- 280]: CE.SM = 4.12579346 * 2560; FER = 0.89882812 * 2560; time = 0.0217s; samplesPerSecond = 118119.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 281- 290]: CE.SM = 4.04509277 * 2560; FER = 0.87968750 * 2560; time = 0.0219s; samplesPerSecond = 117039.3
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 291- 300]: CE.SM = 3.99489746 * 2560; FER = 0.88437500 * 2560; time = 0.0219s; samplesPerSecond = 117151.7
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 301- 310]: CE.SM = 3.96533203 * 2560; FER = 0.87226563 * 2560; time = 0.0220s; samplesPerSecond = 116215.7
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 311- 320]: CE.SM = 3.87816162 * 2560; FER = 0.86914062 * 2560; time = 0.0220s; samplesPerSecond = 116591.5
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 321- 330]: CE.SM = 3.89855957 * 2560; FER = 0.86445313 * 2560; time = 0.0217s; samplesPerSecond = 117901.7
08/16/2016 10:36:12:  Epoch[ 1 of 25]-Minibatch[ 331- 340]: CE.SM = 3.89276123 * 2560; FER = 0.88085938 * 2560; time = 0.0219s; samplesPerSecond = 116911.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 341- 350]: CE.SM = 3.76469727 * 2560; FER = 0.86835938 * 2560; time = 0.0219s; samplesPerSecond = 116975.1
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 351- 360]: CE.SM = 3.79028320 * 2560; FER = 0.87695312 * 2560; time = 0.0219s; samplesPerSecond = 116831.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 361- 370]: CE.SM = 3.65362549 * 2560; FER = 0.84648437 * 2560; time = 0.0219s; samplesPerSecond = 116985.8
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 371- 380]: CE.SM = 3.66362305 * 2560; FER = 0.84375000 * 2560; time = 0.0218s; samplesPerSecond = 117674.1
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 381- 390]: CE.SM = 3.60972900 * 2560; FER = 0.83710938 * 2560; time = 0.0218s; samplesPerSecond = 117280.6
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 391- 400]: CE.SM = 3.60554199 * 2560; FER = 0.85390625 * 2560; time = 0.0218s; samplesPerSecond = 117189.3
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 401- 410]: CE.SM = 3.57498779 * 2560; FER = 0.83125000 * 2560; time = 0.0219s; samplesPerSecond = 116756.4
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 411- 420]: CE.SM = 3.48560791 * 2560; FER = 0.81796875 * 2560; time = 0.0217s; samplesPerSecond = 117863.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 421- 430]: CE.SM = 3.48248291 * 2560; FER = 0.81718750 * 2560; time = 0.0220s; samplesPerSecond = 116337.2
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 431- 440]: CE.SM = 3.46994629 * 2560; FER = 0.81132812 * 2560; time = 0.0219s; samplesPerSecond = 117076.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 441- 450]: CE.SM = 3.44641113 * 2560; FER = 0.83281250 * 2560; time = 0.0219s; samplesPerSecond = 117087.4
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 451- 460]: CE.SM = 3.39329834 * 2560; FER = 0.81523437 * 2560; time = 0.0219s; samplesPerSecond = 116772.3
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 461- 470]: CE.SM = 3.40091553 * 2560; FER = 0.80820313 * 2560; time = 0.0217s; samplesPerSecond = 117961.5
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 471- 480]: CE.SM = 3.35427246 * 2560; FER = 0.82265625 * 2560; time = 0.0219s; samplesPerSecond = 116788.3
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 481- 490]: CE.SM = 3.28023682 * 2560; FER = 0.79609375 * 2560; time = 0.0219s; samplesPerSecond = 117103.5
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 491- 500]: CE.SM = 3.26625977 * 2560; FER = 0.81015625 * 2560; time = 0.0219s; samplesPerSecond = 117124.9
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 501- 510]: CE.SM = 3.25302734 * 2560; FER = 0.80898437 * 2560; time = 0.0218s; samplesPerSecond = 117468.9
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 511- 520]: CE.SM = 3.22050781 * 2560; FER = 0.79726562 * 2560; time = 0.0218s; samplesPerSecond = 117178.6
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 521- 530]: CE.SM = 3.23486328 * 2560; FER = 0.79843750 * 2560; time = 0.0219s; samplesPerSecond = 117055.3
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 531- 540]: CE.SM = 3.20368652 * 2560; FER = 0.78476563 * 2560; time = 0.0218s; samplesPerSecond = 117425.8
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 541- 550]: CE.SM = 3.22924805 * 2560; FER = 0.81835938 * 2560; time = 0.0219s; samplesPerSecond = 116692.5
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 551- 560]: CE.SM = 3.20200195 * 2560; FER = 0.80273438 * 2560; time = 0.0217s; samplesPerSecond = 118206.6
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 561- 570]: CE.SM = 3.15676270 * 2560; FER = 0.80000000 * 2560; time = 0.0219s; samplesPerSecond = 116761.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 571- 580]: CE.SM = 3.18471680 * 2560; FER = 0.79023438 * 2560; time = 0.0220s; samplesPerSecond = 116628.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 581- 590]: CE.SM = 3.10847168 * 2560; FER = 0.76679688 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 591- 600]: CE.SM = 3.03310547 * 2560; FER = 0.76132813 * 2560; time = 0.0217s; samplesPerSecond = 117847.4
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 601- 610]: CE.SM = 3.13649902 * 2560; FER = 0.77773437 * 2560; time = 0.0218s; samplesPerSecond = 117285.9
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 611- 620]: CE.SM = 3.08535156 * 2560; FER = 0.77734375 * 2560; time = 0.0226s; samplesPerSecond = 113104.2
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 621- 630]: CE.SM = 3.06123047 * 2560; FER = 0.77031250 * 2560; time = 0.0219s; samplesPerSecond = 116703.1
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 631- 640]: CE.SM = 3.02524414 * 2560; FER = 0.78906250 * 2560; time = 0.0220s; samplesPerSecond = 116559.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 641- 650]: CE.SM = 3.08684082 * 2560; FER = 0.78164062 * 2560; time = 0.0218s; samplesPerSecond = 117674.1
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 651- 660]: CE.SM = 3.01357422 * 2560; FER = 0.76328125 * 2560; time = 0.0219s; samplesPerSecond = 116863.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 661- 670]: CE.SM = 3.05473633 * 2560; FER = 0.79375000 * 2560; time = 0.0220s; samplesPerSecond = 116157.7
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 671- 680]: CE.SM = 3.03540039 * 2560; FER = 0.77382812 * 2560; time = 0.0220s; samplesPerSecond = 116565.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 681- 690]: CE.SM = 2.99760742 * 2560; FER = 0.76796875 * 2560; time = 0.0218s; samplesPerSecond = 117269.8
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 691- 700]: CE.SM = 2.95690918 * 2560; FER = 0.75000000 * 2560; time = 0.0219s; samplesPerSecond = 116740.4
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 701- 710]: CE.SM = 3.03752441 * 2560; FER = 0.78437500 * 2560; time = 0.0219s; samplesPerSecond = 116847.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 711- 720]: CE.SM = 2.99199219 * 2560; FER = 0.78007812 * 2560; time = 0.0220s; samplesPerSecond = 116458.9
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 721- 730]: CE.SM = 2.98007812 * 2560; FER = 0.76757812 * 2560; time = 0.0220s; samplesPerSecond = 116358.3
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 731- 740]: CE.SM = 2.97900391 * 2560; FER = 0.76914063 * 2560; time = 0.0218s; samplesPerSecond = 117495.9
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 741- 750]: CE.SM = 2.95939941 * 2560; FER = 0.78046875 * 2560; time = 0.0220s; samplesPerSecond = 116184.1
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 751- 760]: CE.SM = 2.91330566 * 2560; FER = 0.75585938 * 2560; time = 0.0220s; samplesPerSecond = 116363.6
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 761- 770]: CE.SM = 2.89733887 * 2560; FER = 0.75078125 * 2560; time = 0.0219s; samplesPerSecond = 116815.0
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 771- 780]: CE.SM = 2.91599121 * 2560; FER = 0.75468750 * 2560; time = 0.0220s; samplesPerSecond = 116506.6
08/16/2016 10:36:13:  Epoch[ 1 of 25]-Minibatch[ 781- 790]: CE.SM = 2.89279785 * 2560; FER = 0.75078125 * 2560; time = 0.0218s; samplesPerSecond = 117652.5
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 791- 800]: CE.SM = 2.87575684 * 2560; FER = 0.74492187 * 2560; time = 0.0220s; samplesPerSecond = 116289.6
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 801- 810]: CE.SM = 2.89257812 * 2560; FER = 0.76210937 * 2560; time = 0.0219s; samplesPerSecond = 116697.8
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 811- 820]: CE.SM = 2.86887207 * 2560; FER = 0.75273437 * 2560; time = 0.0219s; samplesPerSecond = 116820.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 821- 830]: CE.SM = 2.87939453 * 2560; FER = 0.75664062 * 2560; time = 0.0217s; samplesPerSecond = 118223.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 831- 840]: CE.SM = 2.84675293 * 2560; FER = 0.74453125 * 2560; time = 0.0219s; samplesPerSecond = 116767.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 841- 850]: CE.SM = 2.83698730 * 2560; FER = 0.74179688 * 2560; time = 0.0218s; samplesPerSecond = 117377.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 851- 860]: CE.SM = 2.83649902 * 2560; FER = 0.74296875 * 2560; time = 0.0220s; samplesPerSecond = 116533.1
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 861- 870]: CE.SM = 2.86306152 * 2560; FER = 0.75273437 * 2560; time = 0.0220s; samplesPerSecond = 116448.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 871- 880]: CE.SM = 2.83771973 * 2560; FER = 0.74882812 * 2560; time = 0.0217s; samplesPerSecond = 118059.4
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 881- 890]: CE.SM = 2.82912598 * 2560; FER = 0.74648437 * 2560; time = 0.0219s; samplesPerSecond = 116825.6
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 891- 900]: CE.SM = 2.78129883 * 2560; FER = 0.73984375 * 2560; time = 0.0219s; samplesPerSecond = 117012.5
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 901- 910]: CE.SM = 2.87753906 * 2560; FER = 0.75664062 * 2560; time = 0.0219s; samplesPerSecond = 116852.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 911- 920]: CE.SM = 2.77275391 * 2560; FER = 0.73242188 * 2560; time = 0.0216s; samplesPerSecond = 118376.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 921- 930]: CE.SM = 2.86125488 * 2560; FER = 0.75625000 * 2560; time = 0.0219s; samplesPerSecond = 116761.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 931- 940]: CE.SM = 2.78232422 * 2560; FER = 0.74101562 * 2560; time = 0.0219s; samplesPerSecond = 117146.4
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 941- 950]: CE.SM = 2.75517578 * 2560; FER = 0.71914062 * 2560; time = 0.0219s; samplesPerSecond = 116879.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 951- 960]: CE.SM = 2.79282227 * 2560; FER = 0.74335938 * 2560; time = 0.0220s; samplesPerSecond = 116549.1
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 961- 970]: CE.SM = 2.80727539 * 2560; FER = 0.75000000 * 2560; time = 0.0217s; samplesPerSecond = 117869.1
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 971- 980]: CE.SM = 2.73002930 * 2560; FER = 0.72734375 * 2560; time = 0.0220s; samplesPerSecond = 116591.5
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 981- 990]: CE.SM = 2.71630859 * 2560; FER = 0.72382813 * 2560; time = 0.0219s; samplesPerSecond = 117071.4
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[ 991-1000]: CE.SM = 2.73488770 * 2560; FER = 0.71875000 * 2560; time = 0.0219s; samplesPerSecond = 116745.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1001-1010]: CE.SM = 2.73762207 * 2560; FER = 0.72929687 * 2560; time = 0.0217s; samplesPerSecond = 117945.2
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1011-1020]: CE.SM = 2.74970703 * 2560; FER = 0.73085937 * 2560; time = 0.0219s; samplesPerSecond = 116911.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1021-1030]: CE.SM = 2.70192871 * 2560; FER = 0.73125000 * 2560; time = 0.0219s; samplesPerSecond = 117092.8
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1031-1040]: CE.SM = 2.66691895 * 2560; FER = 0.73320312 * 2560; time = 0.0220s; samplesPerSecond = 116268.5
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1041-1050]: CE.SM = 2.70930176 * 2560; FER = 0.73398438 * 2560; time = 0.0219s; samplesPerSecond = 116852.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1051-1060]: CE.SM = 2.72531738 * 2560; FER = 0.73007813 * 2560; time = 0.0216s; samplesPerSecond = 118425.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1061-1070]: CE.SM = 2.69587402 * 2560; FER = 0.72148437 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1071-1080]: CE.SM = 2.72014160 * 2560; FER = 0.73242188 * 2560; time = 0.0220s; samplesPerSecond = 116586.2
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1081-1090]: CE.SM = 2.67714844 * 2560; FER = 0.72382813 * 2560; time = 0.0220s; samplesPerSecond = 116136.6
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1091-1100]: CE.SM = 2.72954102 * 2560; FER = 0.72968750 * 2560; time = 0.0218s; samplesPerSecond = 117264.4
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1101-1110]: CE.SM = 2.67297363 * 2560; FER = 0.71054688 * 2560; time = 0.0219s; samplesPerSecond = 116804.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1111-1120]: CE.SM = 2.70556641 * 2560; FER = 0.72539062 * 2560; time = 0.0220s; samplesPerSecond = 116559.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1121-1130]: CE.SM = 2.64714355 * 2560; FER = 0.71210938 * 2560; time = 0.0220s; samplesPerSecond = 116384.8
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1131-1140]: CE.SM = 2.65280762 * 2560; FER = 0.72460938 * 2560; time = 0.0219s; samplesPerSecond = 117017.9
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1141-1150]: CE.SM = 2.61113281 * 2560; FER = 0.70546875 * 2560; time = 0.0218s; samplesPerSecond = 117506.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1151-1160]: CE.SM = 2.59067383 * 2560; FER = 0.70234375 * 2560; time = 0.0220s; samplesPerSecond = 116602.1
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1161-1170]: CE.SM = 2.61315918 * 2560; FER = 0.70234375 * 2560; time = 0.0219s; samplesPerSecond = 116852.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1171-1180]: CE.SM = 2.66853027 * 2560; FER = 0.71484375 * 2560; time = 0.0223s; samplesPerSecond = 115035.5
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1181-1190]: CE.SM = 2.63395996 * 2560; FER = 0.70390625 * 2560; time = 0.0220s; samplesPerSecond = 116411.3
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1191-1200]: CE.SM = 2.64277344 * 2560; FER = 0.70937500 * 2560; time = 0.0217s; samplesPerSecond = 117733.6
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1201-1210]: CE.SM = 2.61308594 * 2560; FER = 0.70039063 * 2560; time = 0.0220s; samplesPerSecond = 116252.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1211-1220]: CE.SM = 2.62333984 * 2560; FER = 0.69375000 * 2560; time = 0.0220s; samplesPerSecond = 116506.6
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1221-1230]: CE.SM = 2.63803711 * 2560; FER = 0.71757812 * 2560; time = 0.0220s; samplesPerSecond = 116157.7
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1231-1240]: CE.SM = 2.60244141 * 2560; FER = 0.70976562 * 2560; time = 0.0219s; samplesPerSecond = 116831.0
08/16/2016 10:36:14:  Epoch[ 1 of 25]-Minibatch[1241-1250]: CE.SM = 2.63144531 * 2560; FER = 0.71406250 * 2560; time = 0.0220s; samplesPerSecond = 116427.1
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1251-1260]: CE.SM = 2.57412109 * 2560; FER = 0.70351562 * 2560; time = 0.0221s; samplesPerSecond = 115978.8
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1261-1270]: CE.SM = 2.58906250 * 2560; FER = 0.70078125 * 2560; time = 0.0219s; samplesPerSecond = 116756.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1271-1280]: CE.SM = 2.63706055 * 2560; FER = 0.71835938 * 2560; time = 0.0220s; samplesPerSecond = 116284.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1281-1290]: CE.SM = 2.59765625 * 2560; FER = 0.70820313 * 2560; time = 0.0218s; samplesPerSecond = 117533.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1291-1300]: CE.SM = 2.59946289 * 2560; FER = 0.69218750 * 2560; time = 0.0220s; samplesPerSecond = 116305.5
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1301-1310]: CE.SM = 2.55673828 * 2560; FER = 0.69140625 * 2560; time = 0.0219s; samplesPerSecond = 116900.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1311-1320]: CE.SM = 2.55947266 * 2560; FER = 0.68867188 * 2560; time = 0.0219s; samplesPerSecond = 116884.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1321-1330]: CE.SM = 2.56450195 * 2560; FER = 0.68007812 * 2560; time = 0.0217s; samplesPerSecond = 117863.7
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1331-1340]: CE.SM = 2.56210937 * 2560; FER = 0.70703125 * 2560; time = 0.0220s; samplesPerSecond = 116527.8
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1341-1350]: CE.SM = 2.54433594 * 2560; FER = 0.69375000 * 2560; time = 0.0220s; samplesPerSecond = 116618.1
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1351-1360]: CE.SM = 2.53227539 * 2560; FER = 0.67695313 * 2560; time = 0.0219s; samplesPerSecond = 116761.7
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1361-1370]: CE.SM = 2.54428711 * 2560; FER = 0.68710938 * 2560; time = 0.0219s; samplesPerSecond = 117007.2
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1371-1380]: CE.SM = 2.53471680 * 2560; FER = 0.70156250 * 2560; time = 0.0218s; samplesPerSecond = 117625.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1381-1390]: CE.SM = 2.56293945 * 2560; FER = 0.70390625 * 2560; time = 0.0219s; samplesPerSecond = 116815.0
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1391-1400]: CE.SM = 2.48291016 * 2560; FER = 0.68085938 * 2560; time = 0.0220s; samplesPerSecond = 116522.5
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1401-1410]: CE.SM = 2.54624023 * 2560; FER = 0.68125000 * 2560; time = 0.0219s; samplesPerSecond = 116815.0
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1411-1420]: CE.SM = 2.55981445 * 2560; FER = 0.69023437 * 2560; time = 0.0218s; samplesPerSecond = 117544.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1421-1430]: CE.SM = 2.52504883 * 2560; FER = 0.69648438 * 2560; time = 0.0220s; samplesPerSecond = 116289.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1431-1440]: CE.SM = 2.54887695 * 2560; FER = 0.68007812 * 2560; time = 0.0220s; samplesPerSecond = 116247.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1441-1450]: CE.SM = 2.49179687 * 2560; FER = 0.68789062 * 2560; time = 0.0220s; samplesPerSecond = 116374.2
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1451-1460]: CE.SM = 2.53730469 * 2560; FER = 0.69414062 * 2560; time = 0.0220s; samplesPerSecond = 116226.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1461-1470]: CE.SM = 2.51303711 * 2560; FER = 0.67812500 * 2560; time = 0.0218s; samplesPerSecond = 117555.2
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1471-1480]: CE.SM = 2.49360352 * 2560; FER = 0.68007812 * 2560; time = 0.0219s; samplesPerSecond = 116831.0
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1481-1490]: CE.SM = 2.52465820 * 2560; FER = 0.67734375 * 2560; time = 0.0220s; samplesPerSecond = 116628.7
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1491-1500]: CE.SM = 2.49311523 * 2560; FER = 0.68515625 * 2560; time = 0.0220s; samplesPerSecond = 116580.9
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1501-1510]: CE.SM = 2.44960938 * 2560; FER = 0.66328125 * 2560; time = 0.0218s; samplesPerSecond = 117560.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1511-1520]: CE.SM = 2.48481445 * 2560; FER = 0.67070312 * 2560; time = 0.0220s; samplesPerSecond = 116368.9
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1521-1530]: CE.SM = 2.48798828 * 2560; FER = 0.67890625 * 2560; time = 0.0220s; samplesPerSecond = 116580.9
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1531-1540]: CE.SM = 2.51171875 * 2560; FER = 0.68593750 * 2560; time = 0.0219s; samplesPerSecond = 116793.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1541-1550]: CE.SM = 2.58623047 * 2560; FER = 0.70585937 * 2560; time = 0.0220s; samplesPerSecond = 116342.5
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1551-1560]: CE.SM = 2.49248047 * 2560; FER = 0.69609375 * 2560; time = 0.0216s; samplesPerSecond = 118277.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1561-1570]: CE.SM = 2.46459961 * 2560; FER = 0.67226562 * 2560; time = 0.0219s; samplesPerSecond = 116969.8
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1571-1580]: CE.SM = 2.46879883 * 2560; FER = 0.67734375 * 2560; time = 0.0219s; samplesPerSecond = 116905.7
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1581-1590]: CE.SM = 2.47319336 * 2560; FER = 0.66914063 * 2560; time = 0.0219s; samplesPerSecond = 116740.4
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1591-1600]: CE.SM = 2.46503906 * 2560; FER = 0.66445312 * 2560; time = 0.0219s; samplesPerSecond = 116660.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1601-1610]: CE.SM = 2.47812500 * 2560; FER = 0.67812500 * 2560; time = 0.0217s; samplesPerSecond = 117896.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1611-1620]: CE.SM = 2.45854492 * 2560; FER = 0.67695313 * 2560; time = 0.0219s; samplesPerSecond = 116809.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1621-1630]: CE.SM = 2.45737305 * 2560; FER = 0.67500000 * 2560; time = 0.0219s; samplesPerSecond = 116793.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1631-1640]: CE.SM = 2.43041992 * 2560; FER = 0.67695313 * 2560; time = 0.0219s; samplesPerSecond = 116836.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1641-1650]: CE.SM = 2.40004883 * 2560; FER = 0.66796875 * 2560; time = 0.0217s; samplesPerSecond = 117820.3
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1651-1660]: CE.SM = 2.40278320 * 2560; FER = 0.66328125 * 2560; time = 0.0219s; samplesPerSecond = 116660.6
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1661-1670]: CE.SM = 2.43496094 * 2560; FER = 0.67578125 * 2560; time = 0.0218s; samplesPerSecond = 117167.8
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1671-1680]: CE.SM = 2.44619141 * 2560; FER = 0.67890625 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1681-1690]: CE.SM = 2.43896484 * 2560; FER = 0.67773438 * 2560; time = 0.0219s; samplesPerSecond = 116676.5
08/16/2016 10:36:15:  Epoch[ 1 of 25]-Minibatch[1691-1700]: CE.SM = 2.43588867 * 2560; FER = 0.67812500 * 2560; time = 0.0217s; samplesPerSecond = 117939.7
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1701-1710]: CE.SM = 2.35512695 * 2560; FER = 0.65117187 * 2560; time = 0.0220s; samplesPerSecond = 116506.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1711-1720]: CE.SM = 2.43549805 * 2560; FER = 0.66679687 * 2560; time = 0.0219s; samplesPerSecond = 116868.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1721-1730]: CE.SM = 2.42197266 * 2560; FER = 0.67929688 * 2560; time = 0.0221s; samplesPerSecond = 116057.7
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1731-1740]: CE.SM = 2.43686523 * 2560; FER = 0.68046875 * 2560; time = 0.0218s; samplesPerSecond = 117555.2
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1741-1750]: CE.SM = 2.42031250 * 2560; FER = 0.67226562 * 2560; time = 0.0220s; samplesPerSecond = 116395.4
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1751-1760]: CE.SM = 2.40595703 * 2560; FER = 0.66132813 * 2560; time = 0.0219s; samplesPerSecond = 116991.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1761-1770]: CE.SM = 2.35390625 * 2560; FER = 0.63085938 * 2560; time = 0.0220s; samplesPerSecond = 116395.4
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1771-1780]: CE.SM = 2.43701172 * 2560; FER = 0.67500000 * 2560; time = 0.0220s; samplesPerSecond = 116618.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1781-1790]: CE.SM = 2.36313477 * 2560; FER = 0.65468750 * 2560; time = 0.0216s; samplesPerSecond = 118507.5
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1791-1800]: CE.SM = 2.46240234 * 2560; FER = 0.67851562 * 2560; time = 0.0219s; samplesPerSecond = 116900.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1801-1810]: CE.SM = 2.39863281 * 2560; FER = 0.66914063 * 2560; time = 0.0220s; samplesPerSecond = 116490.7
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1811-1820]: CE.SM = 2.34707031 * 2560; FER = 0.66171875 * 2560; time = 0.0220s; samplesPerSecond = 116321.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1821-1830]: CE.SM = 2.34550781 * 2560; FER = 0.66484375 * 2560; time = 0.0217s; samplesPerSecond = 117934.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1831-1840]: CE.SM = 2.39536133 * 2560; FER = 0.67226562 * 2560; time = 0.0220s; samplesPerSecond = 116390.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1841-1850]: CE.SM = 2.40688477 * 2560; FER = 0.66914063 * 2560; time = 0.0218s; samplesPerSecond = 117178.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1851-1860]: CE.SM = 2.31171875 * 2560; FER = 0.65039062 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1861-1870]: CE.SM = 2.34965820 * 2560; FER = 0.66289062 * 2560; time = 0.0220s; samplesPerSecond = 116480.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1871-1880]: CE.SM = 2.37314453 * 2560; FER = 0.64609375 * 2560; time = 0.0218s; samplesPerSecond = 117620.0
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1881-1890]: CE.SM = 2.40629883 * 2560; FER = 0.65859375 * 2560; time = 0.0220s; samplesPerSecond = 116586.2
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1891-1900]: CE.SM = 2.36469727 * 2560; FER = 0.65156250 * 2560; time = 0.0220s; samplesPerSecond = 116570.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1901-1910]: CE.SM = 2.31484375 * 2560; FER = 0.64101562 * 2560; time = 0.0220s; samplesPerSecond = 116575.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1911-1920]: CE.SM = 2.32216797 * 2560; FER = 0.65156250 * 2560; time = 0.0219s; samplesPerSecond = 116692.5
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1921-1930]: CE.SM = 2.36459961 * 2560; FER = 0.65742188 * 2560; time = 0.0219s; samplesPerSecond = 117044.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1931-1940]: CE.SM = 2.34155273 * 2560; FER = 0.64960938 * 2560; time = 0.0220s; samplesPerSecond = 116580.9
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1941-1950]: CE.SM = 2.31865234 * 2560; FER = 0.66484375 * 2560; time = 0.0220s; samplesPerSecond = 116517.2
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1951-1960]: CE.SM = 2.31884766 * 2560; FER = 0.65234375 * 2560; time = 0.0219s; samplesPerSecond = 116943.0
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1961-1970]: CE.SM = 2.35463867 * 2560; FER = 0.66210938 * 2560; time = 0.0216s; samplesPerSecond = 118524.0
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1971-1980]: CE.SM = 2.30678711 * 2560; FER = 0.63398438 * 2560; time = 0.0219s; samplesPerSecond = 116719.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1981-1990]: CE.SM = 2.28896484 * 2560; FER = 0.64296875 * 2560; time = 0.0219s; samplesPerSecond = 116660.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[1991-2000]: CE.SM = 2.32744141 * 2560; FER = 0.64101562 * 2560; time = 0.0219s; samplesPerSecond = 116650.0
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2001-2010]: CE.SM = 2.28769531 * 2560; FER = 0.63437500 * 2560; time = 0.0219s; samplesPerSecond = 116713.8
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2011-2020]: CE.SM = 2.32978516 * 2560; FER = 0.65117187 * 2560; time = 0.0218s; samplesPerSecond = 117684.9
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2021-2030]: CE.SM = 2.29809570 * 2560; FER = 0.63906250 * 2560; time = 0.0220s; samplesPerSecond = 116316.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2031-2040]: CE.SM = 2.32739258 * 2560; FER = 0.65078125 * 2560; time = 0.0220s; samplesPerSecond = 116136.6
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2041-2050]: CE.SM = 2.33969727 * 2560; FER = 0.65000000 * 2560; time = 0.0218s; samplesPerSecond = 117447.4
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2051-2060]: CE.SM = 2.31059570 * 2560; FER = 0.65546875 * 2560; time = 0.0217s; samplesPerSecond = 117771.5
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2061-2070]: CE.SM = 2.32929687 * 2560; FER = 0.64257812 * 2560; time = 0.0219s; samplesPerSecond = 116735.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2071-2080]: CE.SM = 2.28964844 * 2560; FER = 0.64179688 * 2560; time = 0.0220s; samplesPerSecond = 116421.8
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2081-2090]: CE.SM = 2.29770508 * 2560; FER = 0.64335937 * 2560; time = 0.0219s; samplesPerSecond = 116735.1
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2091-2100]: CE.SM = 2.28627930 * 2560; FER = 0.63437500 * 2560; time = 0.0220s; samplesPerSecond = 116321.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2101-2110]: CE.SM = 2.23579102 * 2560; FER = 0.62968750 * 2560; time = 0.0218s; samplesPerSecond = 117582.2
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2111-2120]: CE.SM = 2.29101562 * 2560; FER = 0.64648438 * 2560; time = 0.0219s; samplesPerSecond = 116724.4
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2121-2130]: CE.SM = 2.21855469 * 2560; FER = 0.63242188 * 2560; time = 0.0220s; samplesPerSecond = 116321.3
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2131-2140]: CE.SM = 2.26127930 * 2560; FER = 0.64296875 * 2560; time = 0.0219s; samplesPerSecond = 116713.8
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2141-2150]: CE.SM = 2.25087891 * 2560; FER = 0.64335937 * 2560; time = 0.0217s; samplesPerSecond = 118108.4
08/16/2016 10:36:16:  Epoch[ 1 of 25]-Minibatch[2151-2160]: CE.SM = 2.21748047 * 2560; FER = 0.62382812 * 2560; time = 0.0219s; samplesPerSecond = 116703.1
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2161-2170]: CE.SM = 2.24316406 * 2560; FER = 0.62031250 * 2560; time = 0.0219s; samplesPerSecond = 116660.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2171-2180]: CE.SM = 2.26855469 * 2560; FER = 0.64296875 * 2560; time = 0.0218s; samplesPerSecond = 117312.8
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2181-2190]: CE.SM = 2.22749023 * 2560; FER = 0.63320312 * 2560; time = 0.0221s; samplesPerSecond = 115973.5
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2191-2200]: CE.SM = 2.18764648 * 2560; FER = 0.61367187 * 2560; time = 0.0218s; samplesPerSecond = 117647.1
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2201-2210]: CE.SM = 2.22446289 * 2560; FER = 0.62187500 * 2560; time = 0.0219s; samplesPerSecond = 116793.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2211-2220]: CE.SM = 2.21723633 * 2560; FER = 0.61953125 * 2560; time = 0.0218s; samplesPerSecond = 117366.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2221-2230]: CE.SM = 2.21025391 * 2560; FER = 0.61562500 * 2560; time = 0.0221s; samplesPerSecond = 116041.9
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2231-2240]: CE.SM = 2.20097656 * 2560; FER = 0.61601562 * 2560; time = 0.0217s; samplesPerSecond = 117907.1
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2241-2250]: CE.SM = 2.20502930 * 2560; FER = 0.61406250 * 2560; time = 0.0220s; samplesPerSecond = 116448.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2251-2260]: CE.SM = 2.26699219 * 2560; FER = 0.63125000 * 2560; time = 0.0220s; samplesPerSecond = 116480.1
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2261-2270]: CE.SM = 2.14477539 * 2560; FER = 0.61523438 * 2560; time = 0.0219s; samplesPerSecond = 116943.0
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2271-2280]: CE.SM = 2.19370117 * 2560; FER = 0.63437500 * 2560; time = 0.0220s; samplesPerSecond = 116406.0
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2281-2290]: CE.SM = 2.18593750 * 2560; FER = 0.60234375 * 2560; time = 0.0218s; samplesPerSecond = 117571.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2291-2300]: CE.SM = 2.15209961 * 2560; FER = 0.61562500 * 2560; time = 0.0220s; samplesPerSecond = 116321.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2301-2310]: CE.SM = 2.19946289 * 2560; FER = 0.60507813 * 2560; time = 0.0219s; samplesPerSecond = 116681.9
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2311-2320]: CE.SM = 2.22387695 * 2560; FER = 0.61757812 * 2560; time = 0.0220s; samplesPerSecond = 116575.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2321-2330]: CE.SM = 2.19023438 * 2560; FER = 0.61953125 * 2560; time = 0.0219s; samplesPerSecond = 116969.8
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2331-2340]: CE.SM = 2.17451172 * 2560; FER = 0.61054688 * 2560; time = 0.0219s; samplesPerSecond = 117044.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2341-2350]: CE.SM = 2.17675781 * 2560; FER = 0.61132812 * 2560; time = 0.0220s; samplesPerSecond = 116565.0
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2351-2360]: CE.SM = 2.19257812 * 2560; FER = 0.62343750 * 2560; time = 0.0220s; samplesPerSecond = 116543.7
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2361-2370]: CE.SM = 2.23930664 * 2560; FER = 0.61796875 * 2560; time = 0.0221s; samplesPerSecond = 115894.8
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2371-2380]: CE.SM = 2.18208008 * 2560; FER = 0.61601562 * 2560; time = 0.0217s; samplesPerSecond = 117771.5
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2381-2390]: CE.SM = 2.18442383 * 2560; FER = 0.62148437 * 2560; time = 0.0230s; samplesPerSecond = 111135.2
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2391-2400]: CE.SM = 2.21293945 * 2560; FER = 0.62109375 * 2560; time = 0.0219s; samplesPerSecond = 116660.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2401-2410]: CE.SM = 2.16601562 * 2560; FER = 0.61210937 * 2560; time = 0.0220s; samplesPerSecond = 116242.1
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2411-2420]: CE.SM = 2.15747070 * 2560; FER = 0.61015625 * 2560; time = 0.0219s; samplesPerSecond = 116708.5
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2421-2430]: CE.SM = 2.18681641 * 2560; FER = 0.62617188 * 2560; time = 0.0218s; samplesPerSecond = 117625.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2431-2440]: CE.SM = 2.12163086 * 2560; FER = 0.60898438 * 2560; time = 0.0219s; samplesPerSecond = 116804.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2441-2450]: CE.SM = 2.16879883 * 2560; FER = 0.60468750 * 2560; time = 0.0220s; samplesPerSecond = 116347.8
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2451-2460]: CE.SM = 2.21040039 * 2560; FER = 0.61953125 * 2560; time = 0.0220s; samplesPerSecond = 116194.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2461-2470]: CE.SM = 2.18461914 * 2560; FER = 0.61406250 * 2560; time = 0.0217s; samplesPerSecond = 117722.8
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2471-2480]: CE.SM = 2.18740234 * 2560; FER = 0.61015625 * 2560; time = 0.0220s; samplesPerSecond = 116284.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2481-2490]: CE.SM = 2.13544922 * 2560; FER = 0.61523438 * 2560; time = 0.0220s; samplesPerSecond = 116506.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2491-2500]: CE.SM = 2.14941406 * 2560; FER = 0.61289063 * 2560; time = 0.0220s; samplesPerSecond = 116342.5
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2501-2510]: CE.SM = 2.14780273 * 2560; FER = 0.62187500 * 2560; time = 0.0220s; samplesPerSecond = 116443.0
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2511-2520]: CE.SM = 2.09072266 * 2560; FER = 0.59375000 * 2560; time = 0.0219s; samplesPerSecond = 117135.7
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2521-2530]: CE.SM = 2.15776367 * 2560; FER = 0.61679688 * 2560; time = 0.0220s; samplesPerSecond = 116411.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2531-2540]: CE.SM = 2.10488281 * 2560; FER = 0.58945313 * 2560; time = 0.0220s; samplesPerSecond = 116284.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2541-2550]: CE.SM = 2.12270508 * 2560; FER = 0.61367187 * 2560; time = 0.0220s; samplesPerSecond = 116110.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2551-2560]: CE.SM = 2.14951172 * 2560; FER = 0.60156250 * 2560; time = 0.0218s; samplesPerSecond = 117280.6
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2561-2570]: CE.SM = 2.15336914 * 2560; FER = 0.60664063 * 2560; time = 0.0219s; samplesPerSecond = 116820.3
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2571-2580]: CE.SM = 2.13857422 * 2560; FER = 0.60117188 * 2560; time = 0.0220s; samplesPerSecond = 116554.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2581-2590]: CE.SM = 2.07485352 * 2560; FER = 0.59843750 * 2560; time = 0.0220s; samplesPerSecond = 116210.4
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2591-2600]: CE.SM = 2.16743164 * 2560; FER = 0.61640625 * 2560; time = 0.0221s; samplesPerSecond = 115963.0
08/16/2016 10:36:17:  Epoch[ 1 of 25]-Minibatch[2601-2610]: CE.SM = 2.15449219 * 2560; FER = 0.60625000 * 2560; time = 0.0218s; samplesPerSecond = 117393.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2611-2620]: CE.SM = 2.08676758 * 2560; FER = 0.60000000 * 2560; time = 0.0220s; samplesPerSecond = 116517.2
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2621-2630]: CE.SM = 2.08505859 * 2560; FER = 0.60195312 * 2560; time = 0.0220s; samplesPerSecond = 116580.9
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2631-2640]: CE.SM = 2.12114258 * 2560; FER = 0.61445313 * 2560; time = 0.0221s; samplesPerSecond = 116099.8
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2641-2650]: CE.SM = 2.12377930 * 2560; FER = 0.60664063 * 2560; time = 0.0218s; samplesPerSecond = 117479.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2651-2660]: CE.SM = 2.12314453 * 2560; FER = 0.60312500 * 2560; time = 0.0221s; samplesPerSecond = 115931.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2661-2670]: CE.SM = 2.10078125 * 2560; FER = 0.60039062 * 2560; time = 0.0220s; samplesPerSecond = 116437.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2671-2680]: CE.SM = 2.05410156 * 2560; FER = 0.59062500 * 2560; time = 0.0220s; samplesPerSecond = 116448.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2681-2690]: CE.SM = 2.02216797 * 2560; FER = 0.58554688 * 2560; time = 0.0220s; samplesPerSecond = 116168.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2691-2700]: CE.SM = 2.10141602 * 2560; FER = 0.59609375 * 2560; time = 0.0218s; samplesPerSecond = 117269.8
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2701-2710]: CE.SM = 2.13149414 * 2560; FER = 0.59843750 * 2560; time = 0.0220s; samplesPerSecond = 116326.6
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2711-2720]: CE.SM = 2.02094727 * 2560; FER = 0.57304687 * 2560; time = 0.0220s; samplesPerSecond = 116157.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2721-2730]: CE.SM = 2.07172852 * 2560; FER = 0.60429687 * 2560; time = 0.0220s; samplesPerSecond = 116522.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2731-2740]: CE.SM = 2.12133789 * 2560; FER = 0.59765625 * 2560; time = 0.0217s; samplesPerSecond = 117923.4
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2741-2750]: CE.SM = 2.07963867 * 2560; FER = 0.59140625 * 2560; time = 0.0220s; samplesPerSecond = 116390.1
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2751-2760]: CE.SM = 2.14003906 * 2560; FER = 0.60195312 * 2560; time = 0.0220s; samplesPerSecond = 116565.0
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2761-2770]: CE.SM = 2.04438477 * 2560; FER = 0.58671875 * 2560; time = 0.0220s; samplesPerSecond = 116305.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2771-2780]: CE.SM = 2.03583984 * 2560; FER = 0.57929688 * 2560; time = 0.0221s; samplesPerSecond = 116099.8
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2781-2790]: CE.SM = 2.08891602 * 2560; FER = 0.59062500 * 2560; time = 0.0217s; samplesPerSecond = 117804.1
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2791-2800]: CE.SM = 2.08559570 * 2560; FER = 0.58554688 * 2560; time = 0.0219s; samplesPerSecond = 116735.1
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2801-2810]: CE.SM = 2.07661133 * 2560; FER = 0.57734375 * 2560; time = 0.0220s; samplesPerSecond = 116273.8
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2811-2820]: CE.SM = 2.05078125 * 2560; FER = 0.57656250 * 2560; time = 0.0220s; samplesPerSecond = 116458.9
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2821-2830]: CE.SM = 2.10292969 * 2560; FER = 0.59921875 * 2560; time = 0.0218s; samplesPerSecond = 117232.2
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2831-2840]: CE.SM = 2.07573242 * 2560; FER = 0.60625000 * 2560; time = 0.0220s; samplesPerSecond = 116189.4
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2841-2850]: CE.SM = 2.07192383 * 2560; FER = 0.59609375 * 2560; time = 0.0219s; samplesPerSecond = 116639.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2851-2860]: CE.SM = 2.10415039 * 2560; FER = 0.60078125 * 2560; time = 0.0220s; samplesPerSecond = 116533.1
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2861-2870]: CE.SM = 2.11220703 * 2560; FER = 0.60312500 * 2560; time = 0.0220s; samplesPerSecond = 116437.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2871-2880]: CE.SM = 2.14135742 * 2560; FER = 0.60078125 * 2560; time = 0.0217s; samplesPerSecond = 118168.4
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2881-2890]: CE.SM = 2.01459961 * 2560; FER = 0.58945313 * 2560; time = 0.0219s; samplesPerSecond = 116804.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2891-2900]: CE.SM = 2.01767578 * 2560; FER = 0.57890625 * 2560; time = 0.0219s; samplesPerSecond = 116943.0
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2901-2910]: CE.SM = 2.04384766 * 2560; FER = 0.58359375 * 2560; time = 0.0220s; samplesPerSecond = 116464.2
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2911-2920]: CE.SM = 2.02832031 * 2560; FER = 0.57382813 * 2560; time = 0.0219s; samplesPerSecond = 117114.2
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2921-2930]: CE.SM = 2.00102539 * 2560; FER = 0.55859375 * 2560; time = 0.0217s; samplesPerSecond = 118162.9
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2931-2940]: CE.SM = 2.08564453 * 2560; FER = 0.59257812 * 2560; time = 0.0219s; samplesPerSecond = 117050.0
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2941-2950]: CE.SM = 2.01835938 * 2560; FER = 0.58515625 * 2560; time = 0.0219s; samplesPerSecond = 116841.6
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2951-2960]: CE.SM = 2.04892578 * 2560; FER = 0.59140625 * 2560; time = 0.0219s; samplesPerSecond = 117017.9
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2961-2970]: CE.SM = 2.06240234 * 2560; FER = 0.57148438 * 2560; time = 0.0218s; samplesPerSecond = 117652.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2971-2980]: CE.SM = 2.07055664 * 2560; FER = 0.58828125 * 2560; time = 0.0219s; samplesPerSecond = 116841.6
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2981-2990]: CE.SM = 2.08422852 * 2560; FER = 0.58476562 * 2560; time = 0.0219s; samplesPerSecond = 116745.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[2991-3000]: CE.SM = 2.02021484 * 2560; FER = 0.57500000 * 2560; time = 0.0219s; samplesPerSecond = 116895.0
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3001-3010]: CE.SM = 2.06572266 * 2560; FER = 0.59062500 * 2560; time = 0.0220s; samplesPerSecond = 116226.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3011-3020]: CE.SM = 2.05273438 * 2560; FER = 0.56523437 * 2560; time = 0.0217s; samplesPerSecond = 118005.0
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3021-3030]: CE.SM = 2.03037109 * 2560; FER = 0.57226562 * 2560; time = 0.0220s; samplesPerSecond = 116458.9
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3031-3040]: CE.SM = 2.02431641 * 2560; FER = 0.57578125 * 2560; time = 0.0219s; samplesPerSecond = 117012.5
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3041-3050]: CE.SM = 2.05068359 * 2560; FER = 0.58125000 * 2560; time = 0.0220s; samplesPerSecond = 116501.3
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3051-3060]: CE.SM = 2.01630859 * 2560; FER = 0.59375000 * 2560; time = 0.0221s; samplesPerSecond = 115805.7
08/16/2016 10:36:18:  Epoch[ 1 of 25]-Minibatch[3061-3070]: CE.SM = 2.06474609 * 2560; FER = 0.58281250 * 2560; time = 0.0219s; samplesPerSecond = 117098.2
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3071-3080]: CE.SM = 2.03398438 * 2560; FER = 0.57343750 * 2560; time = 0.0220s; samplesPerSecond = 116316.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3081-3090]: CE.SM = 1.94121094 * 2560; FER = 0.55156250 * 2560; time = 0.0219s; samplesPerSecond = 116703.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3091-3100]: CE.SM = 2.02949219 * 2560; FER = 0.58710938 * 2560; time = 0.0220s; samplesPerSecond = 116501.3
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3101-3110]: CE.SM = 2.00332031 * 2560; FER = 0.58945313 * 2560; time = 0.0217s; samplesPerSecond = 117831.2
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3111-3120]: CE.SM = 2.02216797 * 2560; FER = 0.58671875 * 2560; time = 0.0220s; samplesPerSecond = 116533.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3121-3130]: CE.SM = 2.01923828 * 2560; FER = 0.56992188 * 2560; time = 0.0219s; samplesPerSecond = 116719.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3131-3140]: CE.SM = 2.01093750 * 2560; FER = 0.56757813 * 2560; time = 0.0219s; samplesPerSecond = 116745.7
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3141-3150]: CE.SM = 2.02158203 * 2560; FER = 0.57500000 * 2560; time = 0.0218s; samplesPerSecond = 117528.2
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3151-3160]: CE.SM = 2.04482422 * 2560; FER = 0.57226562 * 2560; time = 0.0219s; samplesPerSecond = 116697.8
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3161-3170]: CE.SM = 1.97500000 * 2560; FER = 0.55742187 * 2560; time = 0.0219s; samplesPerSecond = 116815.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3171-3180]: CE.SM = 1.93544922 * 2560; FER = 0.56796875 * 2560; time = 0.0220s; samplesPerSecond = 116607.5
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3181-3190]: CE.SM = 2.01152344 * 2560; FER = 0.57656250 * 2560; time = 0.0220s; samplesPerSecond = 116411.3
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3191-3200]: CE.SM = 1.99228516 * 2560; FER = 0.57148438 * 2560; time = 0.0218s; samplesPerSecond = 117566.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3201-3210]: CE.SM = 1.96650391 * 2560; FER = 0.56679687 * 2560; time = 0.0219s; samplesPerSecond = 116756.4
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3211-3220]: CE.SM = 2.00371094 * 2560; FER = 0.58125000 * 2560; time = 0.0219s; samplesPerSecond = 117066.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3221-3230]: CE.SM = 1.98564453 * 2560; FER = 0.56406250 * 2560; time = 0.0220s; samplesPerSecond = 116152.5
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3231-3240]: CE.SM = 1.98994141 * 2560; FER = 0.56015625 * 2560; time = 0.0218s; samplesPerSecond = 117178.6
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3241-3250]: CE.SM = 2.02744141 * 2560; FER = 0.58789062 * 2560; time = 0.0218s; samplesPerSecond = 117355.8
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3251-3260]: CE.SM = 2.00859375 * 2560; FER = 0.57812500 * 2560; time = 0.0219s; samplesPerSecond = 116783.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3261-3270]: CE.SM = 2.02988281 * 2560; FER = 0.58867187 * 2560; time = 0.0220s; samplesPerSecond = 116453.6
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3271-3280]: CE.SM = 1.95878906 * 2560; FER = 0.56718750 * 2560; time = 0.0220s; samplesPerSecond = 116242.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3281-3290]: CE.SM = 2.00839844 * 2560; FER = 0.56679687 * 2560; time = 0.0218s; samplesPerSecond = 117690.3
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3291-3300]: CE.SM = 2.02861328 * 2560; FER = 0.57187500 * 2560; time = 0.0220s; samplesPerSecond = 116231.6
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3301-3310]: CE.SM = 2.03896484 * 2560; FER = 0.57226562 * 2560; time = 0.0220s; samplesPerSecond = 116242.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3311-3320]: CE.SM = 1.97431641 * 2560; FER = 0.55546875 * 2560; time = 0.0219s; samplesPerSecond = 116809.6
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3321-3330]: CE.SM = 2.00263672 * 2560; FER = 0.57968750 * 2560; time = 0.0220s; samplesPerSecond = 116406.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3331-3340]: CE.SM = 1.96054687 * 2560; FER = 0.56328125 * 2560; time = 0.0217s; samplesPerSecond = 118010.4
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3341-3350]: CE.SM = 1.95927734 * 2560; FER = 0.57148438 * 2560; time = 0.0219s; samplesPerSecond = 116665.9
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3351-3360]: CE.SM = 1.94716797 * 2560; FER = 0.55625000 * 2560; time = 0.0220s; samplesPerSecond = 116358.3
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3361-3370]: CE.SM = 1.99091797 * 2560; FER = 0.57187500 * 2560; time = 0.0220s; samplesPerSecond = 116384.8
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3371-3380]: CE.SM = 1.95009766 * 2560; FER = 0.55937500 * 2560; time = 0.0217s; samplesPerSecond = 118059.4
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3381-3390]: CE.SM = 1.95488281 * 2560; FER = 0.55742187 * 2560; time = 0.0219s; samplesPerSecond = 117146.4
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3391-3400]: CE.SM = 2.00771484 * 2560; FER = 0.57382813 * 2560; time = 0.0219s; samplesPerSecond = 116772.3
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3401-3410]: CE.SM = 1.90126953 * 2560; FER = 0.55000000 * 2560; time = 0.0219s; samplesPerSecond = 116879.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3411-3420]: CE.SM = 1.97861328 * 2560; FER = 0.56718750 * 2560; time = 0.0220s; samplesPerSecond = 116236.8
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3421-3430]: CE.SM = 1.95009766 * 2560; FER = 0.55039063 * 2560; time = 0.0216s; samplesPerSecond = 118277.6
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3431-3440]: CE.SM = 1.98232422 * 2560; FER = 0.56210938 * 2560; time = 0.0219s; samplesPerSecond = 116713.8
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3441-3450]: CE.SM = 1.96025391 * 2560; FER = 0.56601563 * 2560; time = 0.0220s; samplesPerSecond = 116517.2
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3451-3460]: CE.SM = 1.95429688 * 2560; FER = 0.56679687 * 2560; time = 0.0219s; samplesPerSecond = 117071.4
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3461-3470]: CE.SM = 1.94580078 * 2560; FER = 0.56445312 * 2560; time = 0.0217s; samplesPerSecond = 117739.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3471-3480]: CE.SM = 1.94013672 * 2560; FER = 0.55937500 * 2560; time = 0.0219s; samplesPerSecond = 116975.1
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3481-3490]: CE.SM = 1.97304688 * 2560; FER = 0.56562500 * 2560; time = 0.0218s; samplesPerSecond = 117232.2
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3491-3500]: CE.SM = 1.91181641 * 2560; FER = 0.54570312 * 2560; time = 0.0220s; samplesPerSecond = 116342.5
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3501-3510]: CE.SM = 1.94609375 * 2560; FER = 0.56679687 * 2560; time = 0.0219s; samplesPerSecond = 116799.0
08/16/2016 10:36:19:  Epoch[ 1 of 25]-Minibatch[3511-3520]: CE.SM = 1.95732422 * 2560; FER = 0.55820313 * 2560; time = 0.0218s; samplesPerSecond = 117490.5
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3521-3530]: CE.SM = 1.97500000 * 2560; FER = 0.56796875 * 2560; time = 0.0219s; samplesPerSecond = 117007.2
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3531-3540]: CE.SM = 1.91230469 * 2560; FER = 0.53867188 * 2560; time = 0.0219s; samplesPerSecond = 116825.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3541-3550]: CE.SM = 1.99990234 * 2560; FER = 0.58242187 * 2560; time = 0.0219s; samplesPerSecond = 116681.9
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3551-3560]: CE.SM = 1.95859375 * 2560; FER = 0.56445312 * 2560; time = 0.0216s; samplesPerSecond = 118299.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3561-3570]: CE.SM = 1.90947266 * 2560; FER = 0.55312500 * 2560; time = 0.0219s; samplesPerSecond = 116655.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3571-3580]: CE.SM = 1.90537109 * 2560; FER = 0.56132812 * 2560; time = 0.0219s; samplesPerSecond = 117007.2
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3581-3590]: CE.SM = 1.95888672 * 2560; FER = 0.56093750 * 2560; time = 0.0219s; samplesPerSecond = 116884.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3591-3600]: CE.SM = 1.89609375 * 2560; FER = 0.53867188 * 2560; time = 0.0220s; samplesPerSecond = 116490.7
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3601-3610]: CE.SM = 1.99033203 * 2560; FER = 0.57148438 * 2560; time = 0.0217s; samplesPerSecond = 117858.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3611-3620]: CE.SM = 1.89707031 * 2560; FER = 0.54492188 * 2560; time = 0.0219s; samplesPerSecond = 116681.9
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3621-3630]: CE.SM = 1.94179688 * 2560; FER = 0.55195313 * 2560; time = 0.0219s; samplesPerSecond = 116719.1
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3631-3640]: CE.SM = 1.94892578 * 2560; FER = 0.56054688 * 2560; time = 0.0220s; samplesPerSecond = 116527.8
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3641-3650]: CE.SM = 1.91142578 * 2560; FER = 0.55390625 * 2560; time = 0.0219s; samplesPerSecond = 116879.0
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3651-3660]: CE.SM = 1.87626953 * 2560; FER = 0.53671875 * 2560; time = 0.0217s; samplesPerSecond = 117782.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3661-3670]: CE.SM = 1.90400391 * 2560; FER = 0.56132812 * 2560; time = 0.0219s; samplesPerSecond = 117055.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3671-3680]: CE.SM = 1.93261719 * 2560; FER = 0.54335937 * 2560; time = 0.0219s; samplesPerSecond = 116761.7
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3681-3690]: CE.SM = 1.94824219 * 2560; FER = 0.57421875 * 2560; time = 0.0220s; samplesPerSecond = 116469.5
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3691-3700]: CE.SM = 1.85908203 * 2560; FER = 0.53203125 * 2560; time = 0.0217s; samplesPerSecond = 118162.9
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3701-3710]: CE.SM = 2.01552734 * 2560; FER = 0.59492188 * 2560; time = 0.0220s; samplesPerSecond = 116379.5
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3711-3720]: CE.SM = 1.96123047 * 2560; FER = 0.55820313 * 2560; time = 0.0221s; samplesPerSecond = 116036.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3721-3730]: CE.SM = 1.90986328 * 2560; FER = 0.54921875 * 2560; time = 0.0220s; samplesPerSecond = 116543.7
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3731-3740]: CE.SM = 1.90859375 * 2560; FER = 0.54531250 * 2560; time = 0.0220s; samplesPerSecond = 116527.8
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3741-3750]: CE.SM = 1.85703125 * 2560; FER = 0.54218750 * 2560; time = 0.0217s; samplesPerSecond = 118048.5
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3751-3760]: CE.SM = 1.91337891 * 2560; FER = 0.56562500 * 2560; time = 0.0219s; samplesPerSecond = 116634.0
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3761-3770]: CE.SM = 1.91865234 * 2560; FER = 0.55273438 * 2560; time = 0.0220s; samplesPerSecond = 116485.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3771-3780]: CE.SM = 1.89970703 * 2560; FER = 0.55429688 * 2560; time = 0.0219s; samplesPerSecond = 117103.5
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3781-3790]: CE.SM = 1.95029297 * 2560; FER = 0.56445312 * 2560; time = 0.0218s; samplesPerSecond = 117420.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3791-3800]: CE.SM = 1.95849609 * 2560; FER = 0.56562500 * 2560; time = 0.0220s; samplesPerSecond = 116543.7
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3801-3810]: CE.SM = 1.93076172 * 2560; FER = 0.55820313 * 2560; time = 0.0218s; samplesPerSecond = 117259.1
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3811-3820]: CE.SM = 1.92236328 * 2560; FER = 0.55703125 * 2560; time = 0.0219s; samplesPerSecond = 116793.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3821-3830]: CE.SM = 1.90869141 * 2560; FER = 0.55078125 * 2560; time = 0.0219s; samplesPerSecond = 116788.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3831-3840]: CE.SM = 1.89873047 * 2560; FER = 0.55273438 * 2560; time = 0.0217s; samplesPerSecond = 118206.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3841-3850]: CE.SM = 1.91513672 * 2560; FER = 0.54570312 * 2560; time = 0.0219s; samplesPerSecond = 117001.8
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3851-3860]: CE.SM = 1.89208984 * 2560; FER = 0.55585938 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3861-3870]: CE.SM = 1.87714844 * 2560; FER = 0.54765625 * 2560; time = 0.0219s; samplesPerSecond = 117044.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3871-3880]: CE.SM = 1.87978516 * 2560; FER = 0.54843750 * 2560; time = 0.0217s; samplesPerSecond = 117950.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3881-3890]: CE.SM = 1.91455078 * 2560; FER = 0.55000000 * 2560; time = 0.0219s; samplesPerSecond = 116857.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3891-3900]: CE.SM = 1.90605469 * 2560; FER = 0.55703125 * 2560; time = 0.0219s; samplesPerSecond = 116852.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3901-3910]: CE.SM = 1.94863281 * 2560; FER = 0.55039063 * 2560; time = 0.0219s; samplesPerSecond = 117076.7
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3911-3920]: CE.SM = 1.90722656 * 2560; FER = 0.55664062 * 2560; time = 0.0219s; samplesPerSecond = 116681.9
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3921-3930]: CE.SM = 1.88408203 * 2560; FER = 0.55820313 * 2560; time = 0.0216s; samplesPerSecond = 118299.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3931-3940]: CE.SM = 1.88486328 * 2560; FER = 0.55195313 * 2560; time = 0.0219s; samplesPerSecond = 117028.6
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3941-3950]: CE.SM = 1.87841797 * 2560; FER = 0.53320312 * 2560; time = 0.0219s; samplesPerSecond = 116639.3
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3951-3960]: CE.SM = 1.87656250 * 2560; FER = 0.54257813 * 2560; time = 0.0221s; samplesPerSecond = 116031.4
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3961-3970]: CE.SM = 1.88457031 * 2560; FER = 0.54531250 * 2560; time = 0.0218s; samplesPerSecond = 117312.8
08/16/2016 10:36:20:  Epoch[ 1 of 25]-Minibatch[3971-3980]: CE.SM = 1.92500000 * 2560; FER = 0.55390625 * 2560; time = 0.0218s; samplesPerSecond = 117194.7
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[3981-3990]: CE.SM = 1.86943359 * 2560; FER = 0.54687500 * 2560; time = 0.0220s; samplesPerSecond = 116496.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[3991-4000]: CE.SM = 1.88125000 * 2560; FER = 0.53593750 * 2560; time = 0.0219s; samplesPerSecond = 116783.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4001-4010]: CE.SM = 1.92558594 * 2560; FER = 0.56328125 * 2560; time = 0.0220s; samplesPerSecond = 116136.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4011-4020]: CE.SM = 1.87246094 * 2560; FER = 0.53789062 * 2560; time = 0.0217s; samplesPerSecond = 117820.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4021-4030]: CE.SM = 1.86542969 * 2560; FER = 0.54062500 * 2560; time = 0.0220s; samplesPerSecond = 116427.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4031-4040]: CE.SM = 1.88466797 * 2560; FER = 0.53710938 * 2560; time = 0.0220s; samplesPerSecond = 116263.2
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4041-4050]: CE.SM = 1.89658203 * 2560; FER = 0.54453125 * 2560; time = 0.0219s; samplesPerSecond = 116772.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4051-4060]: CE.SM = 1.87675781 * 2560; FER = 0.53750000 * 2560; time = 0.0220s; samplesPerSecond = 116602.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4061-4070]: CE.SM = 1.91845703 * 2560; FER = 0.55742187 * 2560; time = 0.0217s; samplesPerSecond = 118092.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4071-4080]: CE.SM = 1.86855469 * 2560; FER = 0.55429688 * 2560; time = 0.0220s; samplesPerSecond = 116570.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4081-4090]: CE.SM = 1.83886719 * 2560; FER = 0.53125000 * 2560; time = 0.0219s; samplesPerSecond = 116703.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4091-4100]: CE.SM = 1.85126953 * 2560; FER = 0.53554687 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4101-4110]: CE.SM = 1.84296875 * 2560; FER = 0.53476563 * 2560; time = 0.0217s; samplesPerSecond = 117939.7
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4111-4120]: CE.SM = 1.88535156 * 2560; FER = 0.54960937 * 2560; time = 0.0219s; samplesPerSecond = 116868.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4121-4130]: CE.SM = 1.87031250 * 2560; FER = 0.54062500 * 2560; time = 0.0219s; samplesPerSecond = 116767.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4131-4140]: CE.SM = 1.85937500 * 2560; FER = 0.54453125 * 2560; time = 0.0220s; samplesPerSecond = 116427.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4141-4150]: CE.SM = 1.85166016 * 2560; FER = 0.54062500 * 2560; time = 0.0219s; samplesPerSecond = 116671.2
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4151-4160]: CE.SM = 1.95458984 * 2560; FER = 0.55546875 * 2560; time = 0.0218s; samplesPerSecond = 117167.8
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4161-4170]: CE.SM = 1.87705078 * 2560; FER = 0.55273438 * 2560; time = 0.0220s; samplesPerSecond = 116136.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4171-4180]: CE.SM = 1.78310547 * 2560; FER = 0.52929688 * 2560; time = 0.0220s; samplesPerSecond = 116421.8
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4181-4190]: CE.SM = 1.84365234 * 2560; FER = 0.52734375 * 2560; time = 0.0220s; samplesPerSecond = 116448.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4191-4200]: CE.SM = 1.88212891 * 2560; FER = 0.54492188 * 2560; time = 0.0218s; samplesPerSecond = 117652.5
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4201-4210]: CE.SM = 1.86181641 * 2560; FER = 0.53984375 * 2560; time = 0.0219s; samplesPerSecond = 116895.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4211-4220]: CE.SM = 1.89970703 * 2560; FER = 0.55039063 * 2560; time = 0.0219s; samplesPerSecond = 116836.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4221-4230]: CE.SM = 1.83916016 * 2560; FER = 0.53203125 * 2560; time = 0.0220s; samplesPerSecond = 116126.1
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4231-4240]: CE.SM = 1.83642578 * 2560; FER = 0.52382812 * 2560; time = 0.0220s; samplesPerSecond = 116453.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4241-4250]: CE.SM = 1.89472656 * 2560; FER = 0.52929688 * 2560; time = 0.0217s; samplesPerSecond = 117988.7
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4251-4260]: CE.SM = 1.85009766 * 2560; FER = 0.52929688 * 2560; time = 0.0219s; samplesPerSecond = 116650.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4261-4270]: CE.SM = 1.87226563 * 2560; FER = 0.54023438 * 2560; time = 0.0218s; samplesPerSecond = 117323.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4271-4280]: CE.SM = 1.83642578 * 2560; FER = 0.53242188 * 2560; time = 0.0219s; samplesPerSecond = 116697.8
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4281-4290]: CE.SM = 1.91162109 * 2560; FER = 0.55039063 * 2560; time = 0.0218s; samplesPerSecond = 117587.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4291-4300]: CE.SM = 1.84365234 * 2560; FER = 0.54375000 * 2560; time = 0.0220s; samplesPerSecond = 116416.6
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4301-4310]: CE.SM = 1.85361328 * 2560; FER = 0.54570312 * 2560; time = 0.0220s; samplesPerSecond = 116565.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4311-4320]: CE.SM = 1.84902344 * 2560; FER = 0.53164062 * 2560; time = 0.0219s; samplesPerSecond = 116639.3
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4321-4330]: CE.SM = 1.81123047 * 2560; FER = 0.53593750 * 2560; time = 0.0219s; samplesPerSecond = 116713.8
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4331-4340]: CE.SM = 1.82587891 * 2560; FER = 0.54609375 * 2560; time = 0.0218s; samplesPerSecond = 117522.8
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4341-4350]: CE.SM = 1.85996094 * 2560; FER = 0.55273438 * 2560; time = 0.0219s; samplesPerSecond = 116745.7
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4351-4360]: CE.SM = 1.82470703 * 2560; FER = 0.53398437 * 2560; time = 0.0219s; samplesPerSecond = 116815.0
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4361-4370]: CE.SM = 1.81171875 * 2560; FER = 0.53359375 * 2560; time = 0.0219s; samplesPerSecond = 116687.2
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4371-4380]: CE.SM = 1.81484375 * 2560; FER = 0.52578125 * 2560; time = 0.0218s; samplesPerSecond = 117205.4
08/16/2016 10:36:21:  Epoch[ 1 of 25]-Minibatch[4381-4390]: CE.SM = 1.82822266 * 2560; FER = 0.54257813 * 2560; time = 0.0219s; samplesPerSecond = 116783.0
08/16/2016 10:36:21: Finished Epoch[ 1 of 25]: [Training] CE.SM = 2.48473160 * 1124823; FER = 0.65933662 * 1124823; totalSamplesSeen = 1124823; learningRatePerSample = 0.003125; epochTime=9.68639s
08/16/2016 10:36:21: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.1'

08/16/2016 10:36:21: 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

08/16/2016 10:36:22: Starting minibatch loop.
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.84394169 * 10240; FER = 0.53837891 * 10240; time = 0.0637s; samplesPerSecond = 160781.3
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.82140293 * 10240; FER = 0.53281250 * 10240; time = 0.0605s; samplesPerSecond = 169340.2
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.79833183 * 10240; FER = 0.52539062 * 10240; time = 0.0600s; samplesPerSecond = 170587.1
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.81835022 * 10240; FER = 0.52783203 * 10240; time = 0.0533s; samplesPerSecond = 192087.6
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.83487320 * 10240; FER = 0.53144531 * 10240; time = 0.0529s; samplesPerSecond = 193393.6
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.83199692 * 10240; FER = 0.53437500 * 10240; time = 0.0529s; samplesPerSecond = 193624.0
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.80228958 * 10240; FER = 0.52998047 * 10240; time = 0.0530s; samplesPerSecond = 193390.0
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.81820297 * 10240; FER = 0.52998047 * 10240; time = 0.0531s; samplesPerSecond = 192949.1
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.83462524 * 10240; FER = 0.53916016 * 10240; time = 0.0529s; samplesPerSecond = 193689.9
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.78573914 * 10240; FER = 0.52734375 * 10240; time = 0.0528s; samplesPerSecond = 193968.8
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.82748260 * 10240; FER = 0.53046875 * 10240; time = 0.0528s; samplesPerSecond = 193799.9
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.75329437 * 10240; FER = 0.51923828 * 10240; time = 0.0526s; samplesPerSecond = 194724.9
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.79366760 * 10240; FER = 0.52041016 * 10240; time = 0.0528s; samplesPerSecond = 193781.6
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.76687927 * 10240; FER = 0.51992187 * 10240; time = 0.0527s; samplesPerSecond = 194241.1
08/16/2016 10:36:22:  Epoch[ 2 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.78232269 * 10240; FER = 0.52441406 * 10240; time = 0.0526s; samplesPerSecond = 194691.6
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.79754639 * 10240; FER = 0.52304688 * 10240; time = 0.0526s; samplesPerSecond = 194613.9
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.78745728 * 10240; FER = 0.52597656 * 10240; time = 0.0525s; samplesPerSecond = 194939.9
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.76857300 * 10240; FER = 0.51962891 * 10240; time = 0.0527s; samplesPerSecond = 194289.0
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.76868896 * 10240; FER = 0.52666016 * 10240; time = 0.0527s; samplesPerSecond = 194237.4
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.77248535 * 10240; FER = 0.51894531 * 10240; time = 0.0529s; samplesPerSecond = 193642.3
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.76999817 * 10240; FER = 0.51757812 * 10240; time = 0.0528s; samplesPerSecond = 194119.5
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.74947510 * 10240; FER = 0.51660156 * 10240; time = 0.0528s; samplesPerSecond = 193796.2
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.77536011 * 10240; FER = 0.52675781 * 10240; time = 0.0529s; samplesPerSecond = 193481.3
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.75104065 * 10240; FER = 0.51689453 * 10240; time = 0.0534s; samplesPerSecond = 191681.3
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.74114380 * 10240; FER = 0.51699219 * 10240; time = 0.0526s; samplesPerSecond = 194580.6
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.73756409 * 10240; FER = 0.51298828 * 10240; time = 0.0529s; samplesPerSecond = 193525.2
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.77030334 * 10240; FER = 0.51484375 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.75367737 * 10240; FER = 0.51503906 * 10240; time = 0.0538s; samplesPerSecond = 190189.6
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.76393433 * 10240; FER = 0.51298828 * 10240; time = 0.0530s; samplesPerSecond = 193302.4
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.70355835 * 10240; FER = 0.50878906 * 10240; time = 0.0530s; samplesPerSecond = 193309.7
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.73629150 * 10240; FER = 0.51083984 * 10240; time = 0.0530s; samplesPerSecond = 193342.5
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.73909302 * 10240; FER = 0.51748047 * 10240; time = 0.0527s; samplesPerSecond = 194163.7
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.74791870 * 10240; FER = 0.51826172 * 10240; time = 0.0530s; samplesPerSecond = 193338.9
08/16/2016 10:36:23:  Epoch[ 2 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.73419189 * 10240; FER = 0.51191406 * 10240; time = 0.0527s; samplesPerSecond = 194359.0
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.71873169 * 10240; FER = 0.50830078 * 10240; time = 0.0527s; samplesPerSecond = 194248.4
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.75244751 * 10240; FER = 0.51718750 * 10240; time = 0.0527s; samplesPerSecond = 194193.2
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.73507690 * 10240; FER = 0.51191406 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.73330688 * 10240; FER = 0.51015625 * 10240; time = 0.0527s; samplesPerSecond = 194160.0
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.70093994 * 10240; FER = 0.50234375 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.74114380 * 10240; FER = 0.51318359 * 10240; time = 0.0530s; samplesPerSecond = 193291.4
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.72308350 * 10240; FER = 0.51240234 * 10240; time = 0.0528s; samplesPerSecond = 193921.0
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.70780029 * 10240; FER = 0.49843750 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.70590820 * 10240; FER = 0.50712891 * 10240; time = 0.0531s; samplesPerSecond = 192774.7
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.72288208 * 10240; FER = 0.51171875 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.69002075 * 10240; FER = 0.49853516 * 10240; time = 0.0537s; samplesPerSecond = 190738.7
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.68826904 * 10240; FER = 0.50429687 * 10240; time = 0.0535s; samplesPerSecond = 191262.4
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.68363037 * 10240; FER = 0.50361328 * 10240; time = 0.0533s; samplesPerSecond = 192231.9
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.67105713 * 10240; FER = 0.50400391 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.67636719 * 10240; FER = 0.50048828 * 10240; time = 0.0526s; samplesPerSecond = 194625.0
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.71047363 * 10240; FER = 0.51015625 * 10240; time = 0.0528s; samplesPerSecond = 194005.5
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.67710571 * 10240; FER = 0.49384766 * 10240; time = 0.0528s; samplesPerSecond = 193990.8
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.70640869 * 10240; FER = 0.50498047 * 10240; time = 0.0531s; samplesPerSecond = 192941.8
08/16/2016 10:36:24:  Epoch[ 2 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.66240234 * 10240; FER = 0.49882813 * 10240; time = 0.0529s; samplesPerSecond = 193466.7
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.66801147 * 10240; FER = 0.50000000 * 10240; time = 0.0528s; samplesPerSecond = 193954.1
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.67617188 * 10240; FER = 0.49316406 * 10240; time = 0.0530s; samplesPerSecond = 193382.7
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.67738647 * 10240; FER = 0.49980469 * 10240; time = 0.0548s; samplesPerSecond = 186875.0
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.69571533 * 10240; FER = 0.50527344 * 10240; time = 0.0531s; samplesPerSecond = 192883.6
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.65695801 * 10240; FER = 0.49453125 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.65137939 * 10240; FER = 0.49853516 * 10240; time = 0.0530s; samplesPerSecond = 193109.2
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.68348389 * 10240; FER = 0.50107422 * 10240; time = 0.0530s; samplesPerSecond = 193273.2
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.64084473 * 10240; FER = 0.48720703 * 10240; time = 0.0528s; samplesPerSecond = 193818.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.65388184 * 10240; FER = 0.49189453 * 10240; time = 0.0529s; samplesPerSecond = 193715.6
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.65072021 * 10240; FER = 0.49482422 * 10240; time = 0.0530s; samplesPerSecond = 193368.1
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.66462402 * 10240; FER = 0.49101563 * 10240; time = 0.0535s; samplesPerSecond = 191466.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.66282959 * 10240; FER = 0.50175781 * 10240; time = 0.0533s; samplesPerSecond = 191976.0
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.66234131 * 10240; FER = 0.49492188 * 10240; time = 0.0530s; samplesPerSecond = 193087.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.67911377 * 10240; FER = 0.50253906 * 10240; time = 0.0532s; samplesPerSecond = 192662.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.64985352 * 10240; FER = 0.49707031 * 10240; time = 0.0530s; samplesPerSecond = 193138.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.65112305 * 10240; FER = 0.49375000 * 10240; time = 0.0529s; samplesPerSecond = 193686.3
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.67565918 * 10240; FER = 0.50292969 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:36:25:  Epoch[ 2 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.65874023 * 10240; FER = 0.49355469 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.64068604 * 10240; FER = 0.49296875 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.62154541 * 10240; FER = 0.48652344 * 10240; time = 0.0528s; samplesPerSecond = 193899.0
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.60355225 * 10240; FER = 0.47695312 * 10240; time = 0.0529s; samplesPerSecond = 193591.1
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.61932373 * 10240; FER = 0.48671875 * 10240; time = 0.0528s; samplesPerSecond = 193810.9
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.63277588 * 10240; FER = 0.48632812 * 10240; time = 0.0530s; samplesPerSecond = 193382.7
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.63081055 * 10240; FER = 0.48349609 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.63796387 * 10240; FER = 0.48740234 * 10240; time = 0.0529s; samplesPerSecond = 193463.1
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.63022461 * 10240; FER = 0.49218750 * 10240; time = 0.0529s; samplesPerSecond = 193715.6
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.67296143 * 10240; FER = 0.49091797 * 10240; time = 0.0527s; samplesPerSecond = 194171.1
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.62218018 * 10240; FER = 0.48935547 * 10240; time = 0.0528s; samplesPerSecond = 193924.7
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.60241699 * 10240; FER = 0.48339844 * 10240; time = 0.0549s; samplesPerSecond = 186493.8
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.62623291 * 10240; FER = 0.48925781 * 10240; time = 0.0532s; samplesPerSecond = 192307.7
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.61209717 * 10240; FER = 0.48330078 * 10240; time = 0.0534s; samplesPerSecond = 191860.9
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.60568848 * 10240; FER = 0.47919922 * 10240; time = 0.0530s; samplesPerSecond = 193142.0
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.62071533 * 10240; FER = 0.48242188 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.60572510 * 10240; FER = 0.47861328 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.61608887 * 10240; FER = 0.48349609 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.62719727 * 10240; FER = 0.48642578 * 10240; time = 0.0531s; samplesPerSecond = 192974.5
08/16/2016 10:36:26:  Epoch[ 2 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.61207275 * 10240; FER = 0.48935547 * 10240; time = 0.0530s; samplesPerSecond = 193203.9
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.62291260 * 10240; FER = 0.48554687 * 10240; time = 0.0529s; samplesPerSecond = 193660.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.59461670 * 10240; FER = 0.47480469 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.56796875 * 10240; FER = 0.47792969 * 10240; time = 0.0530s; samplesPerSecond = 193145.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.60878906 * 10240; FER = 0.47705078 * 10240; time = 0.0531s; samplesPerSecond = 192847.3
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.62047119 * 10240; FER = 0.48847656 * 10240; time = 0.0529s; samplesPerSecond = 193624.0
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.59306641 * 10240; FER = 0.48154297 * 10240; time = 0.0528s; samplesPerSecond = 193759.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.60208740 * 10240; FER = 0.47724609 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.56429443 * 10240; FER = 0.46572266 * 10240; time = 0.0532s; samplesPerSecond = 192600.7
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.60252686 * 10240; FER = 0.47744141 * 10240; time = 0.0530s; samplesPerSecond = 193145.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.57152100 * 10240; FER = 0.46826172 * 10240; time = 0.0529s; samplesPerSecond = 193664.3
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.58580322 * 10240; FER = 0.47421875 * 10240; time = 0.0527s; samplesPerSecond = 194281.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.58446045 * 10240; FER = 0.47431641 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.58669434 * 10240; FER = 0.47949219 * 10240; time = 0.0534s; samplesPerSecond = 191846.5
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.59473877 * 10240; FER = 0.48769531 * 10240; time = 0.0531s; samplesPerSecond = 192734.8
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.57634277 * 10240; FER = 0.47197266 * 10240; time = 0.0530s; samplesPerSecond = 193251.3
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.57827148 * 10240; FER = 0.47304687 * 10240; time = 0.0529s; samplesPerSecond = 193580.1
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.58167725 * 10240; FER = 0.47919922 * 10240; time = 0.0529s; samplesPerSecond = 193693.6
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.61612549 * 10240; FER = 0.48398438 * 10240; time = 0.0527s; samplesPerSecond = 194329.5
08/16/2016 10:36:27:  Epoch[ 2 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.60747070 * 10240; FER = 0.47812500 * 10240; time = 0.0531s; samplesPerSecond = 192963.6
08/16/2016 10:36:28: Finished Epoch[ 2 of 25]: [Training] CE.SM = 1.68663603 * 1124823; FER = 0.50088858 * 1124823; totalSamplesSeen = 2249646; learningRatePerSample = 0.003125; epochTime=6.04039s
08/16/2016 10:36:28: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.2'

08/16/2016 10:36:28: 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

08/16/2016 10:36:28: Starting minibatch loop.
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.56023350 * 10240; FER = 0.47275391 * 10240; time = 0.0558s; samplesPerSecond = 183499.4
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.56089382 * 10240; FER = 0.46718750 * 10240; time = 0.0530s; samplesPerSecond = 193145.6
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.54278336 * 10240; FER = 0.47207031 * 10240; time = 0.0532s; samplesPerSecond = 192600.7
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.55337524 * 10240; FER = 0.47031250 * 10240; time = 0.0529s; samplesPerSecond = 193433.8
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.57086563 * 10240; FER = 0.46992187 * 10240; time = 0.0530s; samplesPerSecond = 193214.8
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.55248947 * 10240; FER = 0.47792969 * 10240; time = 0.0529s; samplesPerSecond = 193755.9
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.54105911 * 10240; FER = 0.46992187 * 10240; time = 0.0530s; samplesPerSecond = 193240.4
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.53308258 * 10240; FER = 0.46894531 * 10240; time = 0.0529s; samplesPerSecond = 193554.5
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.55514679 * 10240; FER = 0.46728516 * 10240; time = 0.0528s; samplesPerSecond = 194031.3
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.55645447 * 10240; FER = 0.46455078 * 10240; time = 0.0529s; samplesPerSecond = 193485.0
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.56091919 * 10240; FER = 0.47412109 * 10240; time = 0.0528s; samplesPerSecond = 193917.4
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.56072540 * 10240; FER = 0.48007813 * 10240; time = 0.0529s; samplesPerSecond = 193646.0
08/16/2016 10:36:28:  Epoch[ 3 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.54033661 * 10240; FER = 0.46337891 * 10240; time = 0.0529s; samplesPerSecond = 193722.9
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.56365204 * 10240; FER = 0.47626953 * 10240; time = 0.0527s; samplesPerSecond = 194458.7
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.50498505 * 10240; FER = 0.45410156 * 10240; time = 0.0528s; samplesPerSecond = 193774.2
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.55946350 * 10240; FER = 0.46923828 * 10240; time = 0.0527s; samplesPerSecond = 194141.6
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.54970551 * 10240; FER = 0.47167969 * 10240; time = 0.0529s; samplesPerSecond = 193591.1
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.55779114 * 10240; FER = 0.47265625 * 10240; time = 0.0528s; samplesPerSecond = 193766.9
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.52518616 * 10240; FER = 0.46113281 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.49656982 * 10240; FER = 0.45859375 * 10240; time = 0.0528s; samplesPerSecond = 194068.0
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.54194336 * 10240; FER = 0.46621094 * 10240; time = 0.0527s; samplesPerSecond = 194340.6
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.57207642 * 10240; FER = 0.47431641 * 10240; time = 0.0526s; samplesPerSecond = 194743.4
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.51280823 * 10240; FER = 0.46611328 * 10240; time = 0.0526s; samplesPerSecond = 194503.0
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.53393860 * 10240; FER = 0.46630859 * 10240; time = 0.0531s; samplesPerSecond = 192883.6
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.51387634 * 10240; FER = 0.46552734 * 10240; time = 0.0534s; samplesPerSecond = 191735.2
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.52169495 * 10240; FER = 0.46054688 * 10240; time = 0.0534s; samplesPerSecond = 191684.9
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.52932739 * 10240; FER = 0.46748047 * 10240; time = 0.0532s; samplesPerSecond = 192553.6
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.52077332 * 10240; FER = 0.46347656 * 10240; time = 0.0529s; samplesPerSecond = 193569.1
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.48430786 * 10240; FER = 0.45156250 * 10240; time = 0.0528s; samplesPerSecond = 193832.9
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.49976807 * 10240; FER = 0.45244141 * 10240; time = 0.0529s; samplesPerSecond = 193613.0
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.50268555 * 10240; FER = 0.45908203 * 10240; time = 0.0526s; samplesPerSecond = 194650.9
08/16/2016 10:36:29:  Epoch[ 3 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.50342712 * 10240; FER = 0.45791016 * 10240; time = 0.0529s; samplesPerSecond = 193455.8
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.50041199 * 10240; FER = 0.45820312 * 10240; time = 0.0527s; samplesPerSecond = 194307.4
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.51900635 * 10240; FER = 0.46425781 * 10240; time = 0.0528s; samplesPerSecond = 193932.0
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.53759766 * 10240; FER = 0.46201172 * 10240; time = 0.0525s; samplesPerSecond = 195122.0
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.51278076 * 10240; FER = 0.46025391 * 10240; time = 0.0526s; samplesPerSecond = 194732.3
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.54226685 * 10240; FER = 0.46582031 * 10240; time = 0.0529s; samplesPerSecond = 193733.9
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.51978149 * 10240; FER = 0.46132812 * 10240; time = 0.0530s; samplesPerSecond = 193214.8
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.53919067 * 10240; FER = 0.46474609 * 10240; time = 0.0528s; samplesPerSecond = 193781.6
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.50599365 * 10240; FER = 0.45097656 * 10240; time = 0.0528s; samplesPerSecond = 193880.6
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.51796265 * 10240; FER = 0.45898438 * 10240; time = 0.0526s; samplesPerSecond = 194595.4
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.52326660 * 10240; FER = 0.45869141 * 10240; time = 0.0526s; samplesPerSecond = 194736.0
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.52045898 * 10240; FER = 0.45917969 * 10240; time = 0.0527s; samplesPerSecond = 194178.4
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.52008667 * 10240; FER = 0.46318359 * 10240; time = 0.0548s; samplesPerSecond = 186745.4
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.54191895 * 10240; FER = 0.46865234 * 10240; time = 0.0529s; samplesPerSecond = 193583.8
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.50754395 * 10240; FER = 0.45361328 * 10240; time = 0.0529s; samplesPerSecond = 193620.4
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.50089722 * 10240; FER = 0.45498047 * 10240; time = 0.0529s; samplesPerSecond = 193517.9
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.50546875 * 10240; FER = 0.45605469 * 10240; time = 0.0527s; samplesPerSecond = 194182.1
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.47539673 * 10240; FER = 0.44677734 * 10240; time = 0.0531s; samplesPerSecond = 192771.1
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.51481934 * 10240; FER = 0.46679688 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:36:30:  Epoch[ 3 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.50003662 * 10240; FER = 0.45498047 * 10240; time = 0.0527s; samplesPerSecond = 194314.8
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.47974854 * 10240; FER = 0.45029297 * 10240; time = 0.0527s; samplesPerSecond = 194403.3
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.50786743 * 10240; FER = 0.46132812 * 10240; time = 0.0527s; samplesPerSecond = 194384.9
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.48995361 * 10240; FER = 0.45478516 * 10240; time = 0.0528s; samplesPerSecond = 193976.1
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.50570068 * 10240; FER = 0.46220703 * 10240; time = 0.0527s; samplesPerSecond = 194370.1
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.51661377 * 10240; FER = 0.46035156 * 10240; time = 0.0527s; samplesPerSecond = 194270.5
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.50276489 * 10240; FER = 0.45849609 * 10240; time = 0.0526s; samplesPerSecond = 194858.3
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.48040771 * 10240; FER = 0.45419922 * 10240; time = 0.0527s; samplesPerSecond = 194255.8
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.49674072 * 10240; FER = 0.45468750 * 10240; time = 0.0525s; samplesPerSecond = 194999.3
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.49946289 * 10240; FER = 0.45761719 * 10240; time = 0.0527s; samplesPerSecond = 194384.9
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.50804443 * 10240; FER = 0.46376953 * 10240; time = 0.0526s; samplesPerSecond = 194799.0
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.51943970 * 10240; FER = 0.45927734 * 10240; time = 0.0528s; samplesPerSecond = 193843.9
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.49190063 * 10240; FER = 0.44765625 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.52606201 * 10240; FER = 0.46376953 * 10240; time = 0.0528s; samplesPerSecond = 194057.0
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.50496216 * 10240; FER = 0.46123047 * 10240; time = 0.0525s; samplesPerSecond = 195088.5
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.48746338 * 10240; FER = 0.45986328 * 10240; time = 0.0528s; samplesPerSecond = 194123.2
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.50272217 * 10240; FER = 0.45449219 * 10240; time = 0.0527s; samplesPerSecond = 194211.6
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.49967651 * 10240; FER = 0.45068359 * 10240; time = 0.0528s; samplesPerSecond = 193884.3
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.50826416 * 10240; FER = 0.45615234 * 10240; time = 0.0528s; samplesPerSecond = 193880.6
08/16/2016 10:36:31:  Epoch[ 3 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.48718262 * 10240; FER = 0.44912109 * 10240; time = 0.0529s; samplesPerSecond = 193543.5
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.49829102 * 10240; FER = 0.45683594 * 10240; time = 0.0527s; samplesPerSecond = 194233.7
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.49207764 * 10240; FER = 0.45332031 * 10240; time = 0.0525s; samplesPerSecond = 194873.2
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.48751221 * 10240; FER = 0.44843750 * 10240; time = 0.0529s; samplesPerSecond = 193539.9
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.49628906 * 10240; FER = 0.45449219 * 10240; time = 0.0525s; samplesPerSecond = 195077.3
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.48540039 * 10240; FER = 0.45488281 * 10240; time = 0.0526s; samplesPerSecond = 194532.6
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.48814697 * 10240; FER = 0.45107422 * 10240; time = 0.0526s; samplesPerSecond = 194580.6
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.49937744 * 10240; FER = 0.45712891 * 10240; time = 0.0527s; samplesPerSecond = 194300.0
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.46579590 * 10240; FER = 0.45302734 * 10240; time = 0.0527s; samplesPerSecond = 194296.3
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.47911377 * 10240; FER = 0.45703125 * 10240; time = 0.0527s; samplesPerSecond = 194351.7
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.48371582 * 10240; FER = 0.44921875 * 10240; time = 0.0529s; samplesPerSecond = 193514.2
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.46907959 * 10240; FER = 0.44560547 * 10240; time = 0.0528s; samplesPerSecond = 194090.1
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.48353271 * 10240; FER = 0.45654297 * 10240; time = 0.0527s; samplesPerSecond = 194407.0
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.46734619 * 10240; FER = 0.44882813 * 10240; time = 0.0525s; samplesPerSecond = 194869.5
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.49858398 * 10240; FER = 0.45683594 * 10240; time = 0.0527s; samplesPerSecond = 194230.0
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.48353271 * 10240; FER = 0.44951172 * 10240; time = 0.0530s; samplesPerSecond = 193178.4
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.46907959 * 10240; FER = 0.45322266 * 10240; time = 0.0525s; samplesPerSecond = 194865.7
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.45919189 * 10240; FER = 0.44912109 * 10240; time = 0.0526s; samplesPerSecond = 194554.7
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.45305176 * 10240; FER = 0.44580078 * 10240; time = 0.0526s; samplesPerSecond = 194514.1
08/16/2016 10:36:32:  Epoch[ 3 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.45819092 * 10240; FER = 0.44580078 * 10240; time = 0.0525s; samplesPerSecond = 195021.6
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.47291260 * 10240; FER = 0.45000000 * 10240; time = 0.0529s; samplesPerSecond = 193426.5
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.46176758 * 10240; FER = 0.44521484 * 10240; time = 0.0526s; samplesPerSecond = 194750.9
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.46143799 * 10240; FER = 0.44384766 * 10240; time = 0.0526s; samplesPerSecond = 194695.3
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.49284668 * 10240; FER = 0.45966797 * 10240; time = 0.0527s; samplesPerSecond = 194244.7
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.48247070 * 10240; FER = 0.45205078 * 10240; time = 0.0527s; samplesPerSecond = 194296.3
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.49534912 * 10240; FER = 0.44980469 * 10240; time = 0.0528s; samplesPerSecond = 193851.3
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.48330078 * 10240; FER = 0.45224609 * 10240; time = 0.0526s; samplesPerSecond = 194491.9
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.48389893 * 10240; FER = 0.45351562 * 10240; time = 0.0527s; samplesPerSecond = 194325.8
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.49313965 * 10240; FER = 0.45507812 * 10240; time = 0.0527s; samplesPerSecond = 194477.2
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.46665039 * 10240; FER = 0.44531250 * 10240; time = 0.0525s; samplesPerSecond = 195166.6
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.47518311 * 10240; FER = 0.44648437 * 10240; time = 0.0554s; samplesPerSecond = 184931.0
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.45019531 * 10240; FER = 0.44218750 * 10240; time = 0.0529s; samplesPerSecond = 193404.6
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.46909180 * 10240; FER = 0.44365234 * 10240; time = 0.0529s; samplesPerSecond = 193638.7
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.45136719 * 10240; FER = 0.44892578 * 10240; time = 0.0529s; samplesPerSecond = 193525.2
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.44672852 * 10240; FER = 0.43857422 * 10240; time = 0.0525s; samplesPerSecond = 194899.1
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.48087158 * 10240; FER = 0.45429687 * 10240; time = 0.0526s; samplesPerSecond = 194591.7
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.47954102 * 10240; FER = 0.45341797 * 10240; time = 0.0526s; samplesPerSecond = 194773.1
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.46263428 * 10240; FER = 0.44726562 * 10240; time = 0.0528s; samplesPerSecond = 193851.3
08/16/2016 10:36:33:  Epoch[ 3 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.45635986 * 10240; FER = 0.44521484 * 10240; time = 0.0525s; samplesPerSecond = 195103.4
08/16/2016 10:36:34:  Epoch[ 3 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.43489990 * 10240; FER = 0.43857422 * 10240; time = 0.0525s; samplesPerSecond = 195211.2
08/16/2016 10:36:34: Finished Epoch[ 3 of 25]: [Training] CE.SM = 1.50434557 * 1124823; FER = 0.45764534 * 1124823; totalSamplesSeen = 3374469; learningRatePerSample = 0.003125; epochTime=5.99898s
08/16/2016 10:36:34: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.3'

08/16/2016 10:36:34: 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

08/16/2016 10:36:34: Starting minibatch loop.
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.44225006 * 10240; FER = 0.44169922 * 10240; time = 0.0554s; samplesPerSecond = 184991.1
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.41274052 * 10240; FER = 0.43720703 * 10240; time = 0.0529s; samplesPerSecond = 193704.6
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.47048092 * 10240; FER = 0.45166016 * 10240; time = 0.0529s; samplesPerSecond = 193459.4
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.44437180 * 10240; FER = 0.44677734 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.45084763 * 10240; FER = 0.44023438 * 10240; time = 0.0531s; samplesPerSecond = 192960.0
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.44652481 * 10240; FER = 0.44746094 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.44282532 * 10240; FER = 0.44550781 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.45439987 * 10240; FER = 0.44326172 * 10240; time = 0.0536s; samplesPerSecond = 191191.0
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.43973083 * 10240; FER = 0.43701172 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.41710663 * 10240; FER = 0.43339844 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.41436005 * 10240; FER = 0.43662109 * 10240; time = 0.0531s; samplesPerSecond = 192734.8
08/16/2016 10:36:34:  Epoch[ 4 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.41794281 * 10240; FER = 0.44003906 * 10240; time = 0.0530s; samplesPerSecond = 193276.8
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.40583496 * 10240; FER = 0.43642578 * 10240; time = 0.0531s; samplesPerSecond = 192967.2
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.42972107 * 10240; FER = 0.43955078 * 10240; time = 0.0534s; samplesPerSecond = 191904.0
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.45197906 * 10240; FER = 0.44150391 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.44892273 * 10240; FER = 0.44326172 * 10240; time = 0.0529s; samplesPerSecond = 193466.7
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.45594940 * 10240; FER = 0.44453125 * 10240; time = 0.0528s; samplesPerSecond = 193979.8
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.41800995 * 10240; FER = 0.43544922 * 10240; time = 0.0526s; samplesPerSecond = 194724.9
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.44721375 * 10240; FER = 0.44726562 * 10240; time = 0.0527s; samplesPerSecond = 194200.5
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.42156067 * 10240; FER = 0.43867187 * 10240; time = 0.0529s; samplesPerSecond = 193664.3
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.43860168 * 10240; FER = 0.44257812 * 10240; time = 0.0529s; samplesPerSecond = 193492.3
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.42147827 * 10240; FER = 0.43544922 * 10240; time = 0.0529s; samplesPerSecond = 193474.0
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.40294189 * 10240; FER = 0.43417969 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.42289429 * 10240; FER = 0.43603516 * 10240; time = 0.0530s; samplesPerSecond = 193349.8
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.42995300 * 10240; FER = 0.44121094 * 10240; time = 0.0529s; samplesPerSecond = 193682.6
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.42545166 * 10240; FER = 0.43857422 * 10240; time = 0.0529s; samplesPerSecond = 193565.5
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.40850220 * 10240; FER = 0.43896484 * 10240; time = 0.0528s; samplesPerSecond = 193932.0
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.40447083 * 10240; FER = 0.43134766 * 10240; time = 0.0529s; samplesPerSecond = 193514.2
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.43494873 * 10240; FER = 0.44160156 * 10240; time = 0.0527s; samplesPerSecond = 194307.4
08/16/2016 10:36:35:  Epoch[ 4 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.40734558 * 10240; FER = 0.43085937 * 10240; time = 0.0532s; samplesPerSecond = 192546.4
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.43183289 * 10240; FER = 0.44472656 * 10240; time = 0.0527s; samplesPerSecond = 194156.3
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.42498474 * 10240; FER = 0.43212891 * 10240; time = 0.0528s; samplesPerSecond = 193843.9
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.39313660 * 10240; FER = 0.42978516 * 10240; time = 0.0529s; samplesPerSecond = 193697.3
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.42001648 * 10240; FER = 0.44140625 * 10240; time = 0.0528s; samplesPerSecond = 193869.6
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.42383728 * 10240; FER = 0.44140625 * 10240; time = 0.0529s; samplesPerSecond = 193752.2
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.41726074 * 10240; FER = 0.43818359 * 10240; time = 0.0530s; samplesPerSecond = 193331.6
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.40491943 * 10240; FER = 0.43154297 * 10240; time = 0.0527s; samplesPerSecond = 194126.9
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.42953491 * 10240; FER = 0.43818359 * 10240; time = 0.0530s; samplesPerSecond = 193375.4
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.40288086 * 10240; FER = 0.43369141 * 10240; time = 0.0528s; samplesPerSecond = 193847.6
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.42192383 * 10240; FER = 0.43593750 * 10240; time = 0.0528s; samplesPerSecond = 193921.0
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.42568970 * 10240; FER = 0.44296875 * 10240; time = 0.0527s; samplesPerSecond = 194281.6
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.38872681 * 10240; FER = 0.42695312 * 10240; time = 0.0529s; samplesPerSecond = 193609.4
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.39627075 * 10240; FER = 0.43037109 * 10240; time = 0.0526s; samplesPerSecond = 194647.2
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.41897583 * 10240; FER = 0.43593750 * 10240; time = 0.0525s; samplesPerSecond = 195129.4
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.39470215 * 10240; FER = 0.42929688 * 10240; time = 0.0529s; samplesPerSecond = 193668.0
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.41170044 * 10240; FER = 0.43740234 * 10240; time = 0.0528s; samplesPerSecond = 193829.3
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.41388550 * 10240; FER = 0.43593750 * 10240; time = 0.0527s; samplesPerSecond = 194230.0
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.44724121 * 10240; FER = 0.44169922 * 10240; time = 0.0527s; samplesPerSecond = 194252.1
08/16/2016 10:36:36:  Epoch[ 4 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.41014404 * 10240; FER = 0.44316406 * 10240; time = 0.0528s; samplesPerSecond = 194023.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.38238525 * 10240; FER = 0.43378906 * 10240; time = 0.0527s; samplesPerSecond = 194266.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.39013672 * 10240; FER = 0.42978516 * 10240; time = 0.0528s; samplesPerSecond = 193939.4
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.40399780 * 10240; FER = 0.43320313 * 10240; time = 0.0528s; samplesPerSecond = 194079.1
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.38740845 * 10240; FER = 0.43154297 * 10240; time = 0.0527s; samplesPerSecond = 194370.1
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.40543823 * 10240; FER = 0.43085937 * 10240; time = 0.0527s; samplesPerSecond = 194469.8
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.40034180 * 10240; FER = 0.43388672 * 10240; time = 0.0527s; samplesPerSecond = 194134.3
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.39570313 * 10240; FER = 0.43427734 * 10240; time = 0.0527s; samplesPerSecond = 194314.8
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.42340698 * 10240; FER = 0.43828125 * 10240; time = 0.0530s; samplesPerSecond = 193047.3
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.42071533 * 10240; FER = 0.43554688 * 10240; time = 0.0528s; samplesPerSecond = 193796.2
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.40335693 * 10240; FER = 0.42548828 * 10240; time = 0.0552s; samplesPerSecond = 185419.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.38323364 * 10240; FER = 0.43017578 * 10240; time = 0.0528s; samplesPerSecond = 193799.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.41069336 * 10240; FER = 0.44033203 * 10240; time = 0.0529s; samplesPerSecond = 193657.0
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.41195068 * 10240; FER = 0.43496094 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.40102539 * 10240; FER = 0.43115234 * 10240; time = 0.0528s; samplesPerSecond = 193884.3
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.40108032 * 10240; FER = 0.43154297 * 10240; time = 0.0530s; samplesPerSecond = 193050.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.40139160 * 10240; FER = 0.43408203 * 10240; time = 0.0529s; samplesPerSecond = 193506.9
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.41961670 * 10240; FER = 0.44111328 * 10240; time = 0.0528s; samplesPerSecond = 193990.8
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.42514038 * 10240; FER = 0.44179687 * 10240; time = 0.0526s; samplesPerSecond = 194791.6
08/16/2016 10:36:37:  Epoch[ 4 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.41427002 * 10240; FER = 0.43076172 * 10240; time = 0.0526s; samplesPerSecond = 194503.0
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.41583252 * 10240; FER = 0.43291016 * 10240; time = 0.0526s; samplesPerSecond = 194687.9
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.38478394 * 10240; FER = 0.43593750 * 10240; time = 0.0531s; samplesPerSecond = 192890.9
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.39815063 * 10240; FER = 0.43515625 * 10240; time = 0.0528s; samplesPerSecond = 194101.1
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.41853638 * 10240; FER = 0.43906250 * 10240; time = 0.0528s; samplesPerSecond = 193913.7
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.37310181 * 10240; FER = 0.42558594 * 10240; time = 0.0527s; samplesPerSecond = 194296.3
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.38841553 * 10240; FER = 0.42636719 * 10240; time = 0.0529s; samplesPerSecond = 193737.6
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.39377441 * 10240; FER = 0.43164062 * 10240; time = 0.0526s; samplesPerSecond = 194754.6
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.39820557 * 10240; FER = 0.42939453 * 10240; time = 0.0530s; samplesPerSecond = 193076.4
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.39564209 * 10240; FER = 0.43378906 * 10240; time = 0.0525s; samplesPerSecond = 195099.6
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.41250000 * 10240; FER = 0.43632813 * 10240; time = 0.0525s; samplesPerSecond = 194954.8
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.39501953 * 10240; FER = 0.43222656 * 10240; time = 0.0526s; samplesPerSecond = 194514.1
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.39238281 * 10240; FER = 0.43349609 * 10240; time = 0.0525s; samplesPerSecond = 195010.5
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.39368896 * 10240; FER = 0.43251953 * 10240; time = 0.0528s; samplesPerSecond = 194012.9
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.38841553 * 10240; FER = 0.42480469 * 10240; time = 0.0530s; samplesPerSecond = 193390.0
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.38665771 * 10240; FER = 0.42431641 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.37978516 * 10240; FER = 0.42314453 * 10240; time = 0.0526s; samplesPerSecond = 194602.8
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.40988770 * 10240; FER = 0.43164062 * 10240; time = 0.0529s; samplesPerSecond = 193441.1
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.43897705 * 10240; FER = 0.43906250 * 10240; time = 0.0530s; samplesPerSecond = 193142.0
08/16/2016 10:36:38:  Epoch[ 4 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.37834473 * 10240; FER = 0.42939453 * 10240; time = 0.0530s; samplesPerSecond = 193229.4
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.38425293 * 10240; FER = 0.43076172 * 10240; time = 0.0528s; samplesPerSecond = 193799.9
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.38547363 * 10240; FER = 0.43476562 * 10240; time = 0.0531s; samplesPerSecond = 192782.0
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.39581299 * 10240; FER = 0.43398437 * 10240; time = 0.0529s; samplesPerSecond = 193646.0
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.36606445 * 10240; FER = 0.42666016 * 10240; time = 0.0529s; samplesPerSecond = 193441.1
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.35958252 * 10240; FER = 0.42304687 * 10240; time = 0.0528s; samplesPerSecond = 194038.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.37900391 * 10240; FER = 0.42656250 * 10240; time = 0.0527s; samplesPerSecond = 194248.4
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.38408203 * 10240; FER = 0.42128906 * 10240; time = 0.0529s; samplesPerSecond = 193693.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.34808350 * 10240; FER = 0.41337891 * 10240; time = 0.0528s; samplesPerSecond = 193946.7
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.37171631 * 10240; FER = 0.42539063 * 10240; time = 0.0529s; samplesPerSecond = 193528.9
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.38013916 * 10240; FER = 0.42880859 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.38679199 * 10240; FER = 0.42558594 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.37944336 * 10240; FER = 0.42607422 * 10240; time = 0.0531s; samplesPerSecond = 192709.4
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.38691406 * 10240; FER = 0.42587891 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.38635254 * 10240; FER = 0.42197266 * 10240; time = 0.0530s; samplesPerSecond = 193258.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.38231201 * 10240; FER = 0.43017578 * 10240; time = 0.0528s; samplesPerSecond = 193836.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.39323730 * 10240; FER = 0.42480469 * 10240; time = 0.0529s; samplesPerSecond = 193510.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.36059570 * 10240; FER = 0.42041016 * 10240; time = 0.0529s; samplesPerSecond = 193499.6
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.39117432 * 10240; FER = 0.42988281 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:36:39:  Epoch[ 4 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.36320801 * 10240; FER = 0.42490234 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:36:40:  Epoch[ 4 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.37984619 * 10240; FER = 0.42744141 * 10240; time = 0.0531s; samplesPerSecond = 192840.1
08/16/2016 10:36:40:  Epoch[ 4 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.35310059 * 10240; FER = 0.42275391 * 10240; time = 0.0534s; samplesPerSecond = 191878.9
08/16/2016 10:36:40:  Epoch[ 4 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.35805664 * 10240; FER = 0.42675781 * 10240; time = 0.0531s; samplesPerSecond = 192789.2
08/16/2016 10:36:40: Finished Epoch[ 4 of 25]: [Training] CE.SM = 1.40625914 * 1124823; FER = 0.43391271 * 1124823; totalSamplesSeen = 4499292; learningRatePerSample = 0.003125; epochTime=6.00685s
08/16/2016 10:36:40: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.4'

08/16/2016 10:36:40: 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

08/16/2016 10:36:40: Starting minibatch loop.
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.33909283 * 10240; FER = 0.41494141 * 10240; time = 0.0561s; samplesPerSecond = 182589.8
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.39261150 * 10240; FER = 0.42646484 * 10240; time = 0.0532s; samplesPerSecond = 192408.9
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.35016289 * 10240; FER = 0.42070313 * 10240; time = 0.0533s; samplesPerSecond = 191958.0
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.36563759 * 10240; FER = 0.41640625 * 10240; time = 0.0528s; samplesPerSecond = 193954.1
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.37571144 * 10240; FER = 0.42919922 * 10240; time = 0.0529s; samplesPerSecond = 193711.9
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.35295410 * 10240; FER = 0.41337891 * 10240; time = 0.0528s; samplesPerSecond = 193884.3
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.36075821 * 10240; FER = 0.42548828 * 10240; time = 0.0528s; samplesPerSecond = 194042.3
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.35325851 * 10240; FER = 0.42343750 * 10240; time = 0.0528s; samplesPerSecond = 194115.9
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.35165482 * 10240; FER = 0.42167969 * 10240; time = 0.0528s; samplesPerSecond = 193994.5
08/16/2016 10:36:40:  Epoch[ 5 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.33733139 * 10240; FER = 0.41210938 * 10240; time = 0.0529s; samplesPerSecond = 193605.7
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.35141144 * 10240; FER = 0.42304687 * 10240; time = 0.0528s; samplesPerSecond = 193821.9
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.37144775 * 10240; FER = 0.42753906 * 10240; time = 0.0530s; samplesPerSecond = 193276.8
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.32857208 * 10240; FER = 0.42138672 * 10240; time = 0.0530s; samplesPerSecond = 193338.9
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.36738739 * 10240; FER = 0.42460938 * 10240; time = 0.0529s; samplesPerSecond = 193653.3
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.35139923 * 10240; FER = 0.42265625 * 10240; time = 0.0529s; samplesPerSecond = 193689.9
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.35048065 * 10240; FER = 0.42197266 * 10240; time = 0.0532s; samplesPerSecond = 192351.0
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.34850616 * 10240; FER = 0.41464844 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.35192261 * 10240; FER = 0.42177734 * 10240; time = 0.0529s; samplesPerSecond = 193620.4
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.34388275 * 10240; FER = 0.42050781 * 10240; time = 0.0528s; samplesPerSecond = 194075.4
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.34982300 * 10240; FER = 0.42421875 * 10240; time = 0.0526s; samplesPerSecond = 194665.7
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.38849792 * 10240; FER = 0.42656250 * 10240; time = 0.0530s; samplesPerSecond = 193149.2
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.35451965 * 10240; FER = 0.42246094 * 10240; time = 0.0532s; samplesPerSecond = 192535.5
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.34856262 * 10240; FER = 0.42373047 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.36266479 * 10240; FER = 0.42431641 * 10240; time = 0.0528s; samplesPerSecond = 193983.5
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.35296021 * 10240; FER = 0.42246094 * 10240; time = 0.0527s; samplesPerSecond = 194322.1
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.34878845 * 10240; FER = 0.42666016 * 10240; time = 0.0527s; samplesPerSecond = 194193.2
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.31662903 * 10240; FER = 0.41142578 * 10240; time = 0.0528s; samplesPerSecond = 193961.4
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.37226563 * 10240; FER = 0.42060547 * 10240; time = 0.0529s; samplesPerSecond = 193510.6
08/16/2016 10:36:41:  Epoch[ 5 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.35072021 * 10240; FER = 0.42226562 * 10240; time = 0.0527s; samplesPerSecond = 194215.3
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.36721802 * 10240; FER = 0.42519531 * 10240; time = 0.0527s; samplesPerSecond = 194333.2
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.35952759 * 10240; FER = 0.42509766 * 10240; time = 0.0528s; samplesPerSecond = 194005.5
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.33521423 * 10240; FER = 0.41494141 * 10240; time = 0.0527s; samplesPerSecond = 194174.8
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.35707397 * 10240; FER = 0.41943359 * 10240; time = 0.0529s; samplesPerSecond = 193565.5
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.34588623 * 10240; FER = 0.41992188 * 10240; time = 0.0528s; samplesPerSecond = 194079.1
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.35066223 * 10240; FER = 0.41914062 * 10240; time = 0.0528s; samplesPerSecond = 193873.3
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.35110474 * 10240; FER = 0.42177734 * 10240; time = 0.0529s; samplesPerSecond = 193539.9
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.31966248 * 10240; FER = 0.40615234 * 10240; time = 0.0530s; samplesPerSecond = 193189.3
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.35325317 * 10240; FER = 0.41933594 * 10240; time = 0.0548s; samplesPerSecond = 187008.1
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.35635986 * 10240; FER = 0.42226562 * 10240; time = 0.0536s; samplesPerSecond = 191126.8
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.32847290 * 10240; FER = 0.41425781 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.33991699 * 10240; FER = 0.41503906 * 10240; time = 0.0532s; samplesPerSecond = 192513.8
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.33403320 * 10240; FER = 0.41279297 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.33740234 * 10240; FER = 0.41689453 * 10240; time = 0.0528s; samplesPerSecond = 193979.8
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.32806396 * 10240; FER = 0.41005859 * 10240; time = 0.0533s; samplesPerSecond = 191979.6
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.35186768 * 10240; FER = 0.41660156 * 10240; time = 0.0529s; samplesPerSecond = 193668.0
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.33645630 * 10240; FER = 0.42050781 * 10240; time = 0.0528s; samplesPerSecond = 193770.6
08/16/2016 10:36:42:  Epoch[ 5 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.35177612 * 10240; FER = 0.42050781 * 10240; time = 0.0529s; samplesPerSecond = 193477.7
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.34716797 * 10240; FER = 0.42246094 * 10240; time = 0.0529s; samplesPerSecond = 193671.6
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.34441528 * 10240; FER = 0.41640625 * 10240; time = 0.0529s; samplesPerSecond = 193583.8
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.33342896 * 10240; FER = 0.42109375 * 10240; time = 0.0530s; samplesPerSecond = 193349.8
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.31566162 * 10240; FER = 0.41533203 * 10240; time = 0.0530s; samplesPerSecond = 193331.6
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.31754761 * 10240; FER = 0.41347656 * 10240; time = 0.0529s; samplesPerSecond = 193616.7
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.34076538 * 10240; FER = 0.41484375 * 10240; time = 0.0528s; samplesPerSecond = 193998.2
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.33555298 * 10240; FER = 0.41591797 * 10240; time = 0.0529s; samplesPerSecond = 193675.3
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.31181641 * 10240; FER = 0.41464844 * 10240; time = 0.0529s; samplesPerSecond = 193477.7
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.32672119 * 10240; FER = 0.40800781 * 10240; time = 0.0528s; samplesPerSecond = 193976.1
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.32598877 * 10240; FER = 0.41289063 * 10240; time = 0.0527s; samplesPerSecond = 194325.8
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.34488525 * 10240; FER = 0.41796875 * 10240; time = 0.0526s; samplesPerSecond = 194562.1
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.34400024 * 10240; FER = 0.41757813 * 10240; time = 0.0533s; samplesPerSecond = 192282.4
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.34408569 * 10240; FER = 0.41660156 * 10240; time = 0.0528s; samplesPerSecond = 193946.7
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.35108032 * 10240; FER = 0.42431641 * 10240; time = 0.0526s; samplesPerSecond = 194632.4
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.33338623 * 10240; FER = 0.40937500 * 10240; time = 0.0530s; samplesPerSecond = 193379.0
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.35935059 * 10240; FER = 0.42333984 * 10240; time = 0.0529s; samplesPerSecond = 193624.0
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.33718872 * 10240; FER = 0.41152344 * 10240; time = 0.0529s; samplesPerSecond = 193485.0
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.35137329 * 10240; FER = 0.41542969 * 10240; time = 0.0529s; samplesPerSecond = 193631.3
08/16/2016 10:36:43:  Epoch[ 5 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.31273804 * 10240; FER = 0.41103516 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.32445679 * 10240; FER = 0.41728516 * 10240; time = 0.0527s; samplesPerSecond = 194307.4
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.34825439 * 10240; FER = 0.42070313 * 10240; time = 0.0529s; samplesPerSecond = 193521.6
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.34111328 * 10240; FER = 0.42099609 * 10240; time = 0.0526s; samplesPerSecond = 194525.2
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.33552246 * 10240; FER = 0.41728516 * 10240; time = 0.0532s; samplesPerSecond = 192622.4
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.35057983 * 10240; FER = 0.42148438 * 10240; time = 0.0528s; samplesPerSecond = 194049.6
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.35204468 * 10240; FER = 0.42363281 * 10240; time = 0.0527s; samplesPerSecond = 194491.9
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.37441406 * 10240; FER = 0.42607422 * 10240; time = 0.0528s; samplesPerSecond = 193899.0
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.33792114 * 10240; FER = 0.41513672 * 10240; time = 0.0528s; samplesPerSecond = 193946.7
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.30421143 * 10240; FER = 0.40898438 * 10240; time = 0.0526s; samplesPerSecond = 194517.8
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.28493652 * 10240; FER = 0.40175781 * 10240; time = 0.0527s; samplesPerSecond = 194211.6
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.34491577 * 10240; FER = 0.41728516 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.34888916 * 10240; FER = 0.42246094 * 10240; time = 0.0544s; samplesPerSecond = 188318.4
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.31235352 * 10240; FER = 0.41132812 * 10240; time = 0.0536s; samplesPerSecond = 190930.8
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.33098145 * 10240; FER = 0.41943359 * 10240; time = 0.0531s; samplesPerSecond = 192669.5
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.32397461 * 10240; FER = 0.41132812 * 10240; time = 0.0528s; samplesPerSecond = 193994.5
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.33919678 * 10240; FER = 0.42128906 * 10240; time = 0.0529s; samplesPerSecond = 193576.4
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.32989502 * 10240; FER = 0.41875000 * 10240; time = 0.0528s; samplesPerSecond = 194090.1
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.33266602 * 10240; FER = 0.41552734 * 10240; time = 0.0527s; samplesPerSecond = 194348.0
08/16/2016 10:36:44:  Epoch[ 5 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.34008789 * 10240; FER = 0.41718750 * 10240; time = 0.0528s; samplesPerSecond = 193910.0
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.33354492 * 10240; FER = 0.41933594 * 10240; time = 0.0528s; samplesPerSecond = 194057.0
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.32768555 * 10240; FER = 0.41093750 * 10240; time = 0.0527s; samplesPerSecond = 194185.8
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.33493652 * 10240; FER = 0.41689453 * 10240; time = 0.0529s; samplesPerSecond = 193587.4
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.32465820 * 10240; FER = 0.41542969 * 10240; time = 0.0529s; samplesPerSecond = 193444.8
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.32322998 * 10240; FER = 0.41259766 * 10240; time = 0.0533s; samplesPerSecond = 192004.8
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.32147217 * 10240; FER = 0.41269531 * 10240; time = 0.0529s; samplesPerSecond = 193605.7
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.33349609 * 10240; FER = 0.41591797 * 10240; time = 0.0528s; samplesPerSecond = 194090.1
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.30634766 * 10240; FER = 0.40917969 * 10240; time = 0.0530s; samplesPerSecond = 193225.8
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.29720459 * 10240; FER = 0.40537109 * 10240; time = 0.0528s; samplesPerSecond = 193972.5
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.31138916 * 10240; FER = 0.41054687 * 10240; time = 0.0528s; samplesPerSecond = 194064.4
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.31923828 * 10240; FER = 0.41083984 * 10240; time = 0.0527s; samplesPerSecond = 194296.3
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.32398682 * 10240; FER = 0.41396484 * 10240; time = 0.0530s; samplesPerSecond = 193306.0
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.29987793 * 10240; FER = 0.40585938 * 10240; time = 0.0527s; samplesPerSecond = 194488.2
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.32750244 * 10240; FER = 0.41376953 * 10240; time = 0.0525s; samplesPerSecond = 194962.2
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.30025635 * 10240; FER = 0.40683594 * 10240; time = 0.0527s; samplesPerSecond = 194447.6
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.33438721 * 10240; FER = 0.41328125 * 10240; time = 0.0527s; samplesPerSecond = 194340.6
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.34520264 * 10240; FER = 0.41914062 * 10240; time = 0.0529s; samplesPerSecond = 193506.9
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.32675781 * 10240; FER = 0.41269531 * 10240; time = 0.0527s; samplesPerSecond = 194484.5
08/16/2016 10:36:45:  Epoch[ 5 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.32540283 * 10240; FER = 0.40751953 * 10240; time = 0.0527s; samplesPerSecond = 194244.7
08/16/2016 10:36:46:  Epoch[ 5 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.33320313 * 10240; FER = 0.41630859 * 10240; time = 0.0529s; samplesPerSecond = 193598.4
08/16/2016 10:36:46:  Epoch[ 5 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.32393799 * 10240; FER = 0.41494141 * 10240; time = 0.0529s; samplesPerSecond = 193609.4
08/16/2016 10:36:46:  Epoch[ 5 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.31013184 * 10240; FER = 0.41005859 * 10240; time = 0.0530s; samplesPerSecond = 193174.7
08/16/2016 10:36:46:  Epoch[ 5 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.33172607 * 10240; FER = 0.41806641 * 10240; time = 0.0527s; samplesPerSecond = 194174.8
08/16/2016 10:36:46:  Epoch[ 5 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.31820068 * 10240; FER = 0.41464844 * 10240; time = 0.0528s; samplesPerSecond = 194097.5
08/16/2016 10:36:46: Finished Epoch[ 5 of 25]: [Training] CE.SM = 1.33894666 * 1124823; FER = 0.41719719 * 1124823; totalSamplesSeen = 5624115; learningRatePerSample = 0.003125; epochTime=6.01804s
08/16/2016 10:36:46: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.5'

08/16/2016 10:36:46: 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

08/16/2016 10:36:46: Starting minibatch loop.
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.30656567 * 10240; FER = 0.41152344 * 10240; time = 0.0554s; samplesPerSecond = 184670.9
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.31197777 * 10240; FER = 0.40595703 * 10240; time = 0.0528s; samplesPerSecond = 194053.3
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.31994839 * 10240; FER = 0.41318359 * 10240; time = 0.0526s; samplesPerSecond = 194610.2
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.29235954 * 10240; FER = 0.40566406 * 10240; time = 0.0528s; samplesPerSecond = 193781.6
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.27188683 * 10240; FER = 0.40019531 * 10240; time = 0.0527s; samplesPerSecond = 194418.1
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.27469177 * 10240; FER = 0.39970703 * 10240; time = 0.0529s; samplesPerSecond = 193664.3
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.29626770 * 10240; FER = 0.40791016 * 10240; time = 0.0524s; samplesPerSecond = 195341.6
08/16/2016 10:36:46:  Epoch[ 6 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.31158600 * 10240; FER = 0.41113281 * 10240; time = 0.0527s; samplesPerSecond = 194392.2
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.30138092 * 10240; FER = 0.40625000 * 10240; time = 0.0525s; samplesPerSecond = 194895.4
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.29538803 * 10240; FER = 0.40839844 * 10240; time = 0.0525s; samplesPerSecond = 194999.3
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.30576019 * 10240; FER = 0.41201172 * 10240; time = 0.0532s; samplesPerSecond = 192662.3
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.30004120 * 10240; FER = 0.40410156 * 10240; time = 0.0527s; samplesPerSecond = 194171.1
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.29377289 * 10240; FER = 0.40292969 * 10240; time = 0.0525s; samplesPerSecond = 194895.4
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.27740173 * 10240; FER = 0.40195313 * 10240; time = 0.0528s; samplesPerSecond = 194068.0
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.28506317 * 10240; FER = 0.40839844 * 10240; time = 0.0529s; samplesPerSecond = 193719.3
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.29611664 * 10240; FER = 0.40576172 * 10240; time = 0.0529s; samplesPerSecond = 193422.9
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.29640503 * 10240; FER = 0.40146484 * 10240; time = 0.0527s; samplesPerSecond = 194318.5
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.30953064 * 10240; FER = 0.41074219 * 10240; time = 0.0528s; samplesPerSecond = 193943.1
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.29348297 * 10240; FER = 0.40527344 * 10240; time = 0.0524s; samplesPerSecond = 195557.9
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.26965637 * 10240; FER = 0.40166016 * 10240; time = 0.0526s; samplesPerSecond = 194758.3
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.30166016 * 10240; FER = 0.40625000 * 10240; time = 0.0527s; samplesPerSecond = 194348.0
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.30023804 * 10240; FER = 0.41367188 * 10240; time = 0.0525s; samplesPerSecond = 195118.2
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.30861511 * 10240; FER = 0.40751953 * 10240; time = 0.0527s; samplesPerSecond = 194351.7
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.31026917 * 10240; FER = 0.40615234 * 10240; time = 0.0526s; samplesPerSecond = 194691.6
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.27409363 * 10240; FER = 0.39980469 * 10240; time = 0.0524s; samplesPerSecond = 195513.1
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.26514893 * 10240; FER = 0.39794922 * 10240; time = 0.0525s; samplesPerSecond = 195103.4
08/16/2016 10:36:47:  Epoch[ 6 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.28373108 * 10240; FER = 0.40390625 * 10240; time = 0.0526s; samplesPerSecond = 194676.8
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.28768005 * 10240; FER = 0.40478516 * 10240; time = 0.0525s; samplesPerSecond = 194980.8
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.28603821 * 10240; FER = 0.40029297 * 10240; time = 0.0526s; samplesPerSecond = 194728.6
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.29540100 * 10240; FER = 0.40556641 * 10240; time = 0.0525s; samplesPerSecond = 195114.5
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.31209717 * 10240; FER = 0.40761719 * 10240; time = 0.0530s; samplesPerSecond = 193254.9
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.31605225 * 10240; FER = 0.41210938 * 10240; time = 0.0527s; samplesPerSecond = 194410.7
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.29438171 * 10240; FER = 0.41025391 * 10240; time = 0.0528s; samplesPerSecond = 193847.6
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.31056519 * 10240; FER = 0.40585938 * 10240; time = 0.0526s; samplesPerSecond = 194636.1
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.30699463 * 10240; FER = 0.41308594 * 10240; time = 0.0525s; samplesPerSecond = 194880.6
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.28623352 * 10240; FER = 0.40175781 * 10240; time = 0.0527s; samplesPerSecond = 194440.2
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.29806519 * 10240; FER = 0.40839844 * 10240; time = 0.0526s; samplesPerSecond = 194832.4
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.28684082 * 10240; FER = 0.40966797 * 10240; time = 0.0525s; samplesPerSecond = 194991.9
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.30370178 * 10240; FER = 0.41191406 * 10240; time = 0.0527s; samplesPerSecond = 194178.4
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.30626831 * 10240; FER = 0.40732422 * 10240; time = 0.0528s; samplesPerSecond = 194009.2
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.28718872 * 10240; FER = 0.40439453 * 10240; time = 0.0527s; samplesPerSecond = 194222.6
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.30718384 * 10240; FER = 0.40185547 * 10240; time = 0.0526s; samplesPerSecond = 194565.8
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.28859253 * 10240; FER = 0.40507813 * 10240; time = 0.0528s; samplesPerSecond = 194119.5
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.29429932 * 10240; FER = 0.40742187 * 10240; time = 0.0527s; samplesPerSecond = 194171.1
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.29379272 * 10240; FER = 0.40185547 * 10240; time = 0.0526s; samplesPerSecond = 194540.0
08/16/2016 10:36:48:  Epoch[ 6 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.29359741 * 10240; FER = 0.40908203 * 10240; time = 0.0525s; samplesPerSecond = 195088.5
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.28410645 * 10240; FER = 0.40146484 * 10240; time = 0.0541s; samplesPerSecond = 189226.6
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.25326538 * 10240; FER = 0.39365234 * 10240; time = 0.0531s; samplesPerSecond = 192978.2
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.28321533 * 10240; FER = 0.40468750 * 10240; time = 0.0529s; samplesPerSecond = 193624.0
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.29078369 * 10240; FER = 0.40234375 * 10240; time = 0.0529s; samplesPerSecond = 193697.3
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.28043213 * 10240; FER = 0.39570312 * 10240; time = 0.0526s; samplesPerSecond = 194669.4
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.30419312 * 10240; FER = 0.40517578 * 10240; time = 0.0528s; samplesPerSecond = 193932.0
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.29215698 * 10240; FER = 0.39746094 * 10240; time = 0.0525s; samplesPerSecond = 195203.8
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.30717163 * 10240; FER = 0.40576172 * 10240; time = 0.0527s; samplesPerSecond = 194281.6
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.27476196 * 10240; FER = 0.40332031 * 10240; time = 0.0526s; samplesPerSecond = 194747.2
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.29566650 * 10240; FER = 0.40996094 * 10240; time = 0.0526s; samplesPerSecond = 194810.1
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.27086182 * 10240; FER = 0.40283203 * 10240; time = 0.0527s; samplesPerSecond = 194477.2
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.27286987 * 10240; FER = 0.40146484 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.27675171 * 10240; FER = 0.40136719 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.27706909 * 10240; FER = 0.39687500 * 10240; time = 0.0528s; samplesPerSecond = 194005.5
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.28925171 * 10240; FER = 0.40849609 * 10240; time = 0.0527s; samplesPerSecond = 194366.4
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.26472778 * 10240; FER = 0.39863281 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.28183594 * 10240; FER = 0.40595703 * 10240; time = 0.0526s; samplesPerSecond = 194588.0
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.29218750 * 10240; FER = 0.40449219 * 10240; time = 0.0527s; samplesPerSecond = 194340.6
08/16/2016 10:36:49:  Epoch[ 6 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.29351196 * 10240; FER = 0.41015625 * 10240; time = 0.0526s; samplesPerSecond = 194632.4
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.28561401 * 10240; FER = 0.40058594 * 10240; time = 0.0527s; samplesPerSecond = 194455.0
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.29328613 * 10240; FER = 0.40517578 * 10240; time = 0.0528s; samplesPerSecond = 194086.4
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.29703979 * 10240; FER = 0.41279297 * 10240; time = 0.0526s; samplesPerSecond = 194625.0
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.27761841 * 10240; FER = 0.40400391 * 10240; time = 0.0527s; samplesPerSecond = 194462.4
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.30111084 * 10240; FER = 0.40937500 * 10240; time = 0.0529s; samplesPerSecond = 193664.3
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.27904053 * 10240; FER = 0.40234375 * 10240; time = 0.0527s; samplesPerSecond = 194241.1
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.26624146 * 10240; FER = 0.40000000 * 10240; time = 0.0526s; samplesPerSecond = 194650.9
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.28943481 * 10240; FER = 0.40576172 * 10240; time = 0.0527s; samplesPerSecond = 194359.0
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.27777710 * 10240; FER = 0.40126953 * 10240; time = 0.0526s; samplesPerSecond = 194576.9
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.29013062 * 10240; FER = 0.40341797 * 10240; time = 0.0526s; samplesPerSecond = 194813.8
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.27177734 * 10240; FER = 0.39775391 * 10240; time = 0.0527s; samplesPerSecond = 194366.4
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.28599243 * 10240; FER = 0.39687500 * 10240; time = 0.0527s; samplesPerSecond = 194384.9
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.30087280 * 10240; FER = 0.40732422 * 10240; time = 0.0528s; samplesPerSecond = 194093.8
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.28753662 * 10240; FER = 0.40263672 * 10240; time = 0.0527s; samplesPerSecond = 194303.7
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.26423950 * 10240; FER = 0.40175781 * 10240; time = 0.0526s; samplesPerSecond = 194532.6
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.28846436 * 10240; FER = 0.40380859 * 10240; time = 0.0524s; samplesPerSecond = 195244.7
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.25195312 * 10240; FER = 0.39570312 * 10240; time = 0.0527s; samplesPerSecond = 194421.8
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.28448486 * 10240; FER = 0.40615234 * 10240; time = 0.0527s; samplesPerSecond = 194156.3
08/16/2016 10:36:50:  Epoch[ 6 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.28718262 * 10240; FER = 0.41083984 * 10240; time = 0.0525s; samplesPerSecond = 194865.7
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.27685547 * 10240; FER = 0.39804688 * 10240; time = 0.0525s; samplesPerSecond = 195166.6
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.26888428 * 10240; FER = 0.39775391 * 10240; time = 0.0526s; samplesPerSecond = 194691.6
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.27965088 * 10240; FER = 0.40664062 * 10240; time = 0.0525s; samplesPerSecond = 195166.6
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.27691650 * 10240; FER = 0.40341797 * 10240; time = 0.0527s; samplesPerSecond = 194366.4
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.24986572 * 10240; FER = 0.39765625 * 10240; time = 0.0526s; samplesPerSecond = 194787.9
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.29027100 * 10240; FER = 0.40498047 * 10240; time = 0.0526s; samplesPerSecond = 194702.7
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.26690674 * 10240; FER = 0.39882812 * 10240; time = 0.0526s; samplesPerSecond = 194658.3
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.27684326 * 10240; FER = 0.39794922 * 10240; time = 0.0527s; samplesPerSecond = 194248.4
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.27205811 * 10240; FER = 0.40263672 * 10240; time = 0.0525s; samplesPerSecond = 194902.8
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.27821045 * 10240; FER = 0.40234375 * 10240; time = 0.0525s; samplesPerSecond = 195040.2
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.25772705 * 10240; FER = 0.39638672 * 10240; time = 0.0528s; samplesPerSecond = 193994.5
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.27927246 * 10240; FER = 0.40488281 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.26829834 * 10240; FER = 0.39814453 * 10240; time = 0.0528s; samplesPerSecond = 193935.7
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.27945557 * 10240; FER = 0.40009766 * 10240; time = 0.0526s; samplesPerSecond = 194839.8
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.27634277 * 10240; FER = 0.40322266 * 10240; time = 0.0527s; samplesPerSecond = 194126.9
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.28222656 * 10240; FER = 0.39960937 * 10240; time = 0.0525s; samplesPerSecond = 195006.8
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.30125732 * 10240; FER = 0.40478516 * 10240; time = 0.0531s; samplesPerSecond = 192963.6
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.27189941 * 10240; FER = 0.40039062 * 10240; time = 0.0528s; samplesPerSecond = 193807.3
08/16/2016 10:36:51:  Epoch[ 6 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.26383057 * 10240; FER = 0.39912109 * 10240; time = 0.0529s; samplesPerSecond = 193671.6
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.28026123 * 10240; FER = 0.39873047 * 10240; time = 0.0528s; samplesPerSecond = 193766.9
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.25771484 * 10240; FER = 0.40019531 * 10240; time = 0.0530s; samplesPerSecond = 193280.5
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.27767334 * 10240; FER = 0.39423828 * 10240; time = 0.0527s; samplesPerSecond = 194314.8
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.28244629 * 10240; FER = 0.40126953 * 10240; time = 0.0528s; samplesPerSecond = 193763.2
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.27578125 * 10240; FER = 0.41093750 * 10240; time = 0.0530s; samplesPerSecond = 193214.8
08/16/2016 10:36:52:  Epoch[ 6 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.26463623 * 10240; FER = 0.39511719 * 10240; time = 0.0528s; samplesPerSecond = 193902.7
08/16/2016 10:36:52: Finished Epoch[ 6 of 25]: [Training] CE.SM = 1.28652630 * 1124823; FER = 0.40389199 * 1124823; totalSamplesSeen = 6748938; learningRatePerSample = 0.003125; epochTime=5.98532s
08/16/2016 10:36:52: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.6'

08/16/2016 10:36:52: 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

08/16/2016 10:36:52: Starting minibatch loop.
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.20708866 * 10240; FER = 0.38232422 * 10240; time = 0.0557s; samplesPerSecond = 183687.0
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.23287067 * 10240; FER = 0.39248047 * 10240; time = 0.0530s; samplesPerSecond = 193040.0
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.23374290 * 10240; FER = 0.39394531 * 10240; time = 0.0530s; samplesPerSecond = 193284.1
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.20957985 * 10240; FER = 0.38369141 * 10240; time = 0.0527s; samplesPerSecond = 194263.2
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.24513626 * 10240; FER = 0.39521484 * 10240; time = 0.0529s; samplesPerSecond = 193624.0
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.24717140 * 10240; FER = 0.39277344 * 10240; time = 0.0529s; samplesPerSecond = 193620.4
08/16/2016 10:36:52:  Epoch[ 7 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.25435257 * 10240; FER = 0.40097656 * 10240; time = 0.0528s; samplesPerSecond = 193829.3
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.24349670 * 10240; FER = 0.39462891 * 10240; time = 0.0528s; samplesPerSecond = 194042.3
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.24942474 * 10240; FER = 0.39052734 * 10240; time = 0.0530s; samplesPerSecond = 193240.4
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.26878128 * 10240; FER = 0.40556641 * 10240; time = 0.0535s; samplesPerSecond = 191384.0
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.25286026 * 10240; FER = 0.39375000 * 10240; time = 0.0534s; samplesPerSecond = 191699.3
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.23556213 * 10240; FER = 0.39472656 * 10240; time = 0.0533s; samplesPerSecond = 191940.0
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.26819763 * 10240; FER = 0.39892578 * 10240; time = 0.0534s; samplesPerSecond = 191717.2
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.24100189 * 10240; FER = 0.38964844 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.24569092 * 10240; FER = 0.39189453 * 10240; time = 0.0535s; samplesPerSecond = 191505.7
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.23773499 * 10240; FER = 0.39003906 * 10240; time = 0.0534s; samplesPerSecond = 191803.4
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.25451355 * 10240; FER = 0.39980469 * 10240; time = 0.0533s; samplesPerSecond = 191958.0
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.22148895 * 10240; FER = 0.38427734 * 10240; time = 0.0534s; samplesPerSecond = 191821.4
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.24862366 * 10240; FER = 0.39531250 * 10240; time = 0.0535s; samplesPerSecond = 191241.0
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.24650116 * 10240; FER = 0.39003906 * 10240; time = 0.0533s; samplesPerSecond = 192015.6
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.24716797 * 10240; FER = 0.39394531 * 10240; time = 0.0532s; samplesPerSecond = 192300.5
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.24317932 * 10240; FER = 0.39169922 * 10240; time = 0.0533s; samplesPerSecond = 192228.3
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.27063904 * 10240; FER = 0.40341797 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.25130310 * 10240; FER = 0.39970703 * 10240; time = 0.0534s; samplesPerSecond = 191731.6
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.25600586 * 10240; FER = 0.39697266 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:36:53:  Epoch[ 7 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.23577881 * 10240; FER = 0.39023438 * 10240; time = 0.0531s; samplesPerSecond = 192782.0
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.25111084 * 10240; FER = 0.39726563 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.24905701 * 10240; FER = 0.39658203 * 10240; time = 0.0534s; samplesPerSecond = 191814.2
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.24538574 * 10240; FER = 0.38964844 * 10240; time = 0.0533s; samplesPerSecond = 192076.8
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.25887146 * 10240; FER = 0.39345703 * 10240; time = 0.0535s; samplesPerSecond = 191484.2
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.23996277 * 10240; FER = 0.39326172 * 10240; time = 0.0533s; samplesPerSecond = 192260.8
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.23244019 * 10240; FER = 0.39257812 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.25163574 * 10240; FER = 0.38964844 * 10240; time = 0.0534s; samplesPerSecond = 191717.2
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.23721313 * 10240; FER = 0.39033203 * 10240; time = 0.0536s; samplesPerSecond = 191208.9
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.24886780 * 10240; FER = 0.38730469 * 10240; time = 0.0533s; samplesPerSecond = 192012.0
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.23300781 * 10240; FER = 0.39414063 * 10240; time = 0.0535s; samplesPerSecond = 191509.3
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.22925720 * 10240; FER = 0.38925781 * 10240; time = 0.0540s; samplesPerSecond = 189594.5
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.25652161 * 10240; FER = 0.39912109 * 10240; time = 0.0539s; samplesPerSecond = 189985.0
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.24629822 * 10240; FER = 0.39306641 * 10240; time = 0.0536s; samplesPerSecond = 191148.2
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.24427185 * 10240; FER = 0.39726563 * 10240; time = 0.0534s; samplesPerSecond = 191792.6
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.24274597 * 10240; FER = 0.38740234 * 10240; time = 0.0532s; samplesPerSecond = 192626.0
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.24855042 * 10240; FER = 0.39550781 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.24385986 * 10240; FER = 0.38925781 * 10240; time = 0.0534s; samplesPerSecond = 191745.9
08/16/2016 10:36:54:  Epoch[ 7 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.24191284 * 10240; FER = 0.39511719 * 10240; time = 0.0533s; samplesPerSecond = 192127.3
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.23723755 * 10240; FER = 0.39550781 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.24879150 * 10240; FER = 0.39101562 * 10240; time = 0.0531s; samplesPerSecond = 192894.5
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.24600830 * 10240; FER = 0.38681641 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.23585205 * 10240; FER = 0.38798828 * 10240; time = 0.0533s; samplesPerSecond = 192048.0
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.25268555 * 10240; FER = 0.39423828 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.24614258 * 10240; FER = 0.39531250 * 10240; time = 0.0530s; samplesPerSecond = 193269.5
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.23107910 * 10240; FER = 0.39179687 * 10240; time = 0.0529s; samplesPerSecond = 193433.8
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.24174194 * 10240; FER = 0.39101562 * 10240; time = 0.0529s; samplesPerSecond = 193558.1
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.24386597 * 10240; FER = 0.39248047 * 10240; time = 0.0530s; samplesPerSecond = 193364.4
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.23059082 * 10240; FER = 0.39082031 * 10240; time = 0.0529s; samplesPerSecond = 193433.8
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.22894287 * 10240; FER = 0.38867188 * 10240; time = 0.0533s; samplesPerSecond = 191943.6
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.23381348 * 10240; FER = 0.39423828 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.24081421 * 10240; FER = 0.39208984 * 10240; time = 0.0530s; samplesPerSecond = 193036.4
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.27373657 * 10240; FER = 0.39648438 * 10240; time = 0.0534s; samplesPerSecond = 191663.4
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.23004761 * 10240; FER = 0.38925781 * 10240; time = 0.0533s; samplesPerSecond = 192148.9
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.21077881 * 10240; FER = 0.38544922 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.26223755 * 10240; FER = 0.39667969 * 10240; time = 0.0532s; samplesPerSecond = 192506.5
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.22947388 * 10240; FER = 0.38320312 * 10240; time = 0.0534s; samplesPerSecond = 191695.7
08/16/2016 10:36:55:  Epoch[ 7 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.22098999 * 10240; FER = 0.38730469 * 10240; time = 0.0535s; samplesPerSecond = 191505.7
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.27078857 * 10240; FER = 0.40527344 * 10240; time = 0.0533s; samplesPerSecond = 192030.0
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.24437256 * 10240; FER = 0.38828125 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.21371460 * 10240; FER = 0.38476562 * 10240; time = 0.0533s; samplesPerSecond = 192073.2
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.22918091 * 10240; FER = 0.39335938 * 10240; time = 0.0532s; samplesPerSecond = 192307.7
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.24185791 * 10240; FER = 0.39160156 * 10240; time = 0.0534s; samplesPerSecond = 191907.6
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.22663574 * 10240; FER = 0.39228516 * 10240; time = 0.0534s; samplesPerSecond = 191900.5
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.27239990 * 10240; FER = 0.40156250 * 10240; time = 0.0532s; samplesPerSecond = 192336.6
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.26149902 * 10240; FER = 0.40000000 * 10240; time = 0.0533s; samplesPerSecond = 192069.6
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.25050049 * 10240; FER = 0.38955078 * 10240; time = 0.0533s; samplesPerSecond = 192282.4
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.27478027 * 10240; FER = 0.39736328 * 10240; time = 0.0533s; samplesPerSecond = 191950.8
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.25961914 * 10240; FER = 0.39863281 * 10240; time = 0.0533s; samplesPerSecond = 191950.8
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.23236694 * 10240; FER = 0.39335938 * 10240; time = 0.0537s; samplesPerSecond = 190816.9
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.24566040 * 10240; FER = 0.39072266 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.25358887 * 10240; FER = 0.40244141 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.26920776 * 10240; FER = 0.39882812 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.22565918 * 10240; FER = 0.39042969 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.24359131 * 10240; FER = 0.39287109 * 10240; time = 0.0534s; samplesPerSecond = 191832.1
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.23656006 * 10240; FER = 0.39208984 * 10240; time = 0.0536s; samplesPerSecond = 191194.6
08/16/2016 10:36:56:  Epoch[ 7 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.23079834 * 10240; FER = 0.39492187 * 10240; time = 0.0532s; samplesPerSecond = 192329.4
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.23889160 * 10240; FER = 0.39023438 * 10240; time = 0.0533s; samplesPerSecond = 192055.2
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.22272949 * 10240; FER = 0.38427734 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.22733154 * 10240; FER = 0.38613281 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.23666992 * 10240; FER = 0.39101562 * 10240; time = 0.0533s; samplesPerSecond = 191950.8
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.23039551 * 10240; FER = 0.39472656 * 10240; time = 0.0534s; samplesPerSecond = 191706.4
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.23472900 * 10240; FER = 0.39345703 * 10240; time = 0.0535s; samplesPerSecond = 191434.1
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.22277832 * 10240; FER = 0.39091797 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.28666992 * 10240; FER = 0.40712891 * 10240; time = 0.0533s; samplesPerSecond = 192148.9
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.22769775 * 10240; FER = 0.39316406 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.25061035 * 10240; FER = 0.39580078 * 10240; time = 0.0557s; samplesPerSecond = 183706.8
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.23046875 * 10240; FER = 0.39140625 * 10240; time = 0.0537s; samplesPerSecond = 190568.4
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.26568604 * 10240; FER = 0.40126953 * 10240; time = 0.0536s; samplesPerSecond = 190888.1
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.24464111 * 10240; FER = 0.39091797 * 10240; time = 0.0536s; samplesPerSecond = 191034.1
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.26430664 * 10240; FER = 0.39228516 * 10240; time = 0.0533s; samplesPerSecond = 192148.9
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.24052734 * 10240; FER = 0.39697266 * 10240; time = 0.0534s; samplesPerSecond = 191613.2
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.24888916 * 10240; FER = 0.39199219 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.25308838 * 10240; FER = 0.38798828 * 10240; time = 0.0534s; samplesPerSecond = 191649.0
08/16/2016 10:36:57:  Epoch[ 7 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.25446777 * 10240; FER = 0.39462891 * 10240; time = 0.0534s; samplesPerSecond = 191674.2
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.24570312 * 10240; FER = 0.39619141 * 10240; time = 0.0535s; samplesPerSecond = 191423.3
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.25168457 * 10240; FER = 0.39902344 * 10240; time = 0.0534s; samplesPerSecond = 191731.6
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.20622559 * 10240; FER = 0.37998047 * 10240; time = 0.0534s; samplesPerSecond = 191889.7
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.22265625 * 10240; FER = 0.38300781 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.23956299 * 10240; FER = 0.39570312 * 10240; time = 0.0535s; samplesPerSecond = 191223.2
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.26248779 * 10240; FER = 0.39013672 * 10240; time = 0.0533s; samplesPerSecond = 192080.4
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.21679688 * 10240; FER = 0.37578125 * 10240; time = 0.0533s; samplesPerSecond = 191968.8
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.25806885 * 10240; FER = 0.39697266 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:36:58:  Epoch[ 7 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.21440430 * 10240; FER = 0.39003906 * 10240; time = 0.0532s; samplesPerSecond = 192470.3
08/16/2016 10:36:58: Finished Epoch[ 7 of 25]: [Training] CE.SM = 1.24286754 * 1124823; FER = 0.39278980 * 1124823; totalSamplesSeen = 7873761; learningRatePerSample = 0.003125; epochTime=6.05408s
08/16/2016 10:36:58: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.7'

08/16/2016 10:36:58: 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

08/16/2016 10:36:58: Starting minibatch loop.
08/16/2016 10:36:58:  Epoch[ 8 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.19253111 * 10240; FER = 0.37402344 * 10240; time = 0.0561s; samplesPerSecond = 182550.7
08/16/2016 10:36:58:  Epoch[ 8 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.19285059 * 10240; FER = 0.38300781 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:36:58:  Epoch[ 8 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.20217896 * 10240; FER = 0.37939453 * 10240; time = 0.0534s; samplesPerSecond = 191631.1
08/16/2016 10:36:58:  Epoch[ 8 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.19184189 * 10240; FER = 0.38164063 * 10240; time = 0.0533s; samplesPerSecond = 192278.8
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.18146324 * 10240; FER = 0.37324219 * 10240; time = 0.0532s; samplesPerSecond = 192492.1
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.21644058 * 10240; FER = 0.38867188 * 10240; time = 0.0533s; samplesPerSecond = 192210.2
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.21701813 * 10240; FER = 0.38457031 * 10240; time = 0.0533s; samplesPerSecond = 192148.9
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.19270248 * 10240; FER = 0.38017578 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.18740463 * 10240; FER = 0.37773438 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.20213852 * 10240; FER = 0.38359375 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.21264801 * 10240; FER = 0.38544922 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.19535217 * 10240; FER = 0.37890625 * 10240; time = 0.0534s; samplesPerSecond = 191878.9
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.23109894 * 10240; FER = 0.39052734 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.19819336 * 10240; FER = 0.37382813 * 10240; time = 0.0533s; samplesPerSecond = 192174.2
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.21554871 * 10240; FER = 0.38798828 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.18936310 * 10240; FER = 0.37265625 * 10240; time = 0.0539s; samplesPerSecond = 189999.1
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.22030792 * 10240; FER = 0.38583984 * 10240; time = 0.0537s; samplesPerSecond = 190717.4
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.19110260 * 10240; FER = 0.37578125 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.22689209 * 10240; FER = 0.37978516 * 10240; time = 0.0530s; samplesPerSecond = 193098.2
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.20803070 * 10240; FER = 0.38359375 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.22529755 * 10240; FER = 0.38837891 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.23081665 * 10240; FER = 0.38691406 * 10240; time = 0.0531s; samplesPerSecond = 192890.9
08/16/2016 10:36:59:  Epoch[ 8 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.21290894 * 10240; FER = 0.38505859 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.21379700 * 10240; FER = 0.39052734 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.18976746 * 10240; FER = 0.38046875 * 10240; time = 0.0531s; samplesPerSecond = 192890.9
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.21910706 * 10240; FER = 0.38447266 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.20818176 * 10240; FER = 0.38544922 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.21190491 * 10240; FER = 0.37685547 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.21391602 * 10240; FER = 0.38222656 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.19737549 * 10240; FER = 0.38056641 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.21596680 * 10240; FER = 0.38212891 * 10240; time = 0.0533s; samplesPerSecond = 191947.2
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.21472168 * 10240; FER = 0.38339844 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.20133667 * 10240; FER = 0.37548828 * 10240; time = 0.0533s; samplesPerSecond = 192282.4
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.21058044 * 10240; FER = 0.38828125 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.19568787 * 10240; FER = 0.37646484 * 10240; time = 0.0533s; samplesPerSecond = 192289.6
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.21602783 * 10240; FER = 0.38632813 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.21242981 * 10240; FER = 0.38544922 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.20879211 * 10240; FER = 0.38349609 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.20321655 * 10240; FER = 0.37626953 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.20785217 * 10240; FER = 0.38232422 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.22677612 * 10240; FER = 0.38935547 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:37:00:  Epoch[ 8 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.20561829 * 10240; FER = 0.38886719 * 10240; time = 0.0535s; samplesPerSecond = 191459.1
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.20896912 * 10240; FER = 0.38583984 * 10240; time = 0.0532s; samplesPerSecond = 192647.8
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.19558716 * 10240; FER = 0.38447266 * 10240; time = 0.0531s; samplesPerSecond = 192800.1
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.22080688 * 10240; FER = 0.39423828 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.19729614 * 10240; FER = 0.38398437 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.20349121 * 10240; FER = 0.38125000 * 10240; time = 0.0532s; samplesPerSecond = 192351.0
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.23228149 * 10240; FER = 0.39589844 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.20029907 * 10240; FER = 0.38369141 * 10240; time = 0.0531s; samplesPerSecond = 192923.6
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.20951538 * 10240; FER = 0.38642578 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.22463989 * 10240; FER = 0.39404297 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.21582642 * 10240; FER = 0.38574219 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.24689941 * 10240; FER = 0.39199219 * 10240; time = 0.0530s; samplesPerSecond = 193054.6
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.21489258 * 10240; FER = 0.38378906 * 10240; time = 0.0538s; samplesPerSecond = 190327.5
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.18456421 * 10240; FER = 0.38144531 * 10240; time = 0.0530s; samplesPerSecond = 193087.3
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.24153442 * 10240; FER = 0.38876953 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.21358032 * 10240; FER = 0.38310547 * 10240; time = 0.0533s; samplesPerSecond = 192145.3
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.20277710 * 10240; FER = 0.37910156 * 10240; time = 0.0531s; samplesPerSecond = 192949.1
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.19814453 * 10240; FER = 0.38232422 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.21329346 * 10240; FER = 0.38779297 * 10240; time = 0.0532s; samplesPerSecond = 192361.9
08/16/2016 10:37:01:  Epoch[ 8 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.22214355 * 10240; FER = 0.38740234 * 10240; time = 0.0534s; samplesPerSecond = 191695.7
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.18993530 * 10240; FER = 0.38027344 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.20317383 * 10240; FER = 0.37880859 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.19055786 * 10240; FER = 0.38281250 * 10240; time = 0.0531s; samplesPerSecond = 192821.9
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.23118286 * 10240; FER = 0.38535156 * 10240; time = 0.0532s; samplesPerSecond = 192502.9
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.21727905 * 10240; FER = 0.38369141 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.20917969 * 10240; FER = 0.37841797 * 10240; time = 0.0531s; samplesPerSecond = 192974.5
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.20854492 * 10240; FER = 0.38320312 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.20296631 * 10240; FER = 0.38632813 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.22382813 * 10240; FER = 0.38828125 * 10240; time = 0.0531s; samplesPerSecond = 192887.3
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.20682373 * 10240; FER = 0.38447266 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.20490112 * 10240; FER = 0.38085938 * 10240; time = 0.0533s; samplesPerSecond = 192253.5
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.20171509 * 10240; FER = 0.38066406 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.20221558 * 10240; FER = 0.38720703 * 10240; time = 0.0533s; samplesPerSecond = 192206.6
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.19931641 * 10240; FER = 0.38017578 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.19827881 * 10240; FER = 0.38457031 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.22731323 * 10240; FER = 0.39160156 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.20277710 * 10240; FER = 0.38437500 * 10240; time = 0.0532s; samplesPerSecond = 192626.0
08/16/2016 10:37:02:  Epoch[ 8 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.17332764 * 10240; FER = 0.37441406 * 10240; time = 0.0532s; samplesPerSecond = 192517.4
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.21363525 * 10240; FER = 0.38017578 * 10240; time = 0.0530s; samplesPerSecond = 193054.6
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.21166382 * 10240; FER = 0.38388672 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.22320557 * 10240; FER = 0.38935547 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.17538452 * 10240; FER = 0.38046875 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.19729004 * 10240; FER = 0.38750000 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.20681152 * 10240; FER = 0.38427734 * 10240; time = 0.0530s; samplesPerSecond = 193379.0
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.19875488 * 10240; FER = 0.37861328 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.20017090 * 10240; FER = 0.38691406 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.20533447 * 10240; FER = 0.38085938 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.19250488 * 10240; FER = 0.37646484 * 10240; time = 0.0530s; samplesPerSecond = 193087.3
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.20358887 * 10240; FER = 0.38320312 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.21068115 * 10240; FER = 0.38242188 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.20417480 * 10240; FER = 0.38623047 * 10240; time = 0.0532s; samplesPerSecond = 192347.4
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.19941406 * 10240; FER = 0.38125000 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.18824463 * 10240; FER = 0.37919922 * 10240; time = 0.0530s; samplesPerSecond = 193101.9
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.21663818 * 10240; FER = 0.38173828 * 10240; time = 0.0530s; samplesPerSecond = 193058.2
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.18093262 * 10240; FER = 0.37851563 * 10240; time = 0.0530s; samplesPerSecond = 193032.7
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.20100098 * 10240; FER = 0.38144531 * 10240; time = 0.0532s; samplesPerSecond = 192376.3
08/16/2016 10:37:03:  Epoch[ 8 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.22998047 * 10240; FER = 0.38808594 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.20069580 * 10240; FER = 0.38183594 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.19208984 * 10240; FER = 0.37470703 * 10240; time = 0.0532s; samplesPerSecond = 192325.8
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.20096436 * 10240; FER = 0.37871094 * 10240; time = 0.0534s; samplesPerSecond = 191828.6
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.18964844 * 10240; FER = 0.37509766 * 10240; time = 0.0536s; samplesPerSecond = 191158.9
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.20187988 * 10240; FER = 0.39296875 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.19345703 * 10240; FER = 0.37500000 * 10240; time = 0.0532s; samplesPerSecond = 192387.2
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.17927246 * 10240; FER = 0.37919922 * 10240; time = 0.0530s; samplesPerSecond = 193080.0
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.20931396 * 10240; FER = 0.38466797 * 10240; time = 0.0532s; samplesPerSecond = 192582.6
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.21102295 * 10240; FER = 0.39355469 * 10240; time = 0.0532s; samplesPerSecond = 192408.9
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.19770508 * 10240; FER = 0.38115234 * 10240; time = 0.0532s; samplesPerSecond = 192463.1
08/16/2016 10:37:04:  Epoch[ 8 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.19232178 * 10240; FER = 0.37890625 * 10240; time = 0.0534s; samplesPerSecond = 191663.4
08/16/2016 10:37:04: Finished Epoch[ 8 of 25]: [Training] CE.SM = 1.20625312 * 1124823; FER = 0.38314384 * 1124823; totalSamplesSeen = 8998584; learningRatePerSample = 0.003125; epochTime=6.03958s
08/16/2016 10:37:04: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.8'

08/16/2016 10:37:04: 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

08/16/2016 10:37:04: Starting minibatch loop.
08/16/2016 10:37:04:  Epoch[ 9 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.15188198 * 10240; FER = 0.36396484 * 10240; time = 0.0566s; samplesPerSecond = 181075.5
08/16/2016 10:37:04:  Epoch[ 9 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.15729408 * 10240; FER = 0.37031250 * 10240; time = 0.0535s; samplesPerSecond = 191498.5
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.14584446 * 10240; FER = 0.36943359 * 10240; time = 0.0535s; samplesPerSecond = 191498.5
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.16953163 * 10240; FER = 0.37304688 * 10240; time = 0.0536s; samplesPerSecond = 191059.0
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.14724998 * 10240; FER = 0.36445312 * 10240; time = 0.0530s; samplesPerSecond = 193058.2
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.18192482 * 10240; FER = 0.37011719 * 10240; time = 0.0531s; samplesPerSecond = 192883.6
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.18360825 * 10240; FER = 0.37539062 * 10240; time = 0.0530s; samplesPerSecond = 193134.7
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.20669174 * 10240; FER = 0.38066406 * 10240; time = 0.0530s; samplesPerSecond = 193327.9
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.15725174 * 10240; FER = 0.37304688 * 10240; time = 0.0528s; samplesPerSecond = 193829.3
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.19011230 * 10240; FER = 0.37578125 * 10240; time = 0.0529s; samplesPerSecond = 193609.4
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.15868378 * 10240; FER = 0.36689453 * 10240; time = 0.0529s; samplesPerSecond = 193726.6
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.16227722 * 10240; FER = 0.36728516 * 10240; time = 0.0529s; samplesPerSecond = 193492.3
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.15054779 * 10240; FER = 0.36630859 * 10240; time = 0.0530s; samplesPerSecond = 193131.0
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.17258759 * 10240; FER = 0.37792969 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.17556458 * 10240; FER = 0.37587891 * 10240; time = 0.0530s; samplesPerSecond = 193353.5
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.18473358 * 10240; FER = 0.37714844 * 10240; time = 0.0531s; samplesPerSecond = 192742.1
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.18605042 * 10240; FER = 0.37539062 * 10240; time = 0.0531s; samplesPerSecond = 192789.2
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.19268036 * 10240; FER = 0.38144531 * 10240; time = 0.0531s; samplesPerSecond = 193003.6
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.16932220 * 10240; FER = 0.37119141 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.16594238 * 10240; FER = 0.37558594 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:37:05:  Epoch[ 9 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.17154846 * 10240; FER = 0.37431641 * 10240; time = 0.0532s; samplesPerSecond = 192445.0
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.18514709 * 10240; FER = 0.37939453 * 10240; time = 0.0531s; samplesPerSecond = 192840.1
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.14959412 * 10240; FER = 0.36738281 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.15931702 * 10240; FER = 0.36816406 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.17197571 * 10240; FER = 0.37246094 * 10240; time = 0.0533s; samplesPerSecond = 192159.7
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.16832275 * 10240; FER = 0.37187500 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.15234680 * 10240; FER = 0.37392578 * 10240; time = 0.0532s; samplesPerSecond = 192369.1
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.17493591 * 10240; FER = 0.37558594 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.18769836 * 10240; FER = 0.37509766 * 10240; time = 0.0534s; samplesPerSecond = 191735.2
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.19432068 * 10240; FER = 0.37714844 * 10240; time = 0.0529s; samplesPerSecond = 193463.1
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.19568176 * 10240; FER = 0.38525391 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.21047363 * 10240; FER = 0.38798828 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.16660767 * 10240; FER = 0.36904297 * 10240; time = 0.0537s; samplesPerSecond = 190635.8
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.16463623 * 10240; FER = 0.37392578 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.17289734 * 10240; FER = 0.37695312 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.18595581 * 10240; FER = 0.38037109 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.18072510 * 10240; FER = 0.37363281 * 10240; time = 0.0531s; samplesPerSecond = 192974.5
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.15757751 * 10240; FER = 0.37050781 * 10240; time = 0.0532s; samplesPerSecond = 192369.1
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.16855164 * 10240; FER = 0.37060547 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:37:06:  Epoch[ 9 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.17623901 * 10240; FER = 0.37832031 * 10240; time = 0.0530s; samplesPerSecond = 193178.4
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.18135986 * 10240; FER = 0.37675781 * 10240; time = 0.0532s; samplesPerSecond = 192329.4
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.20287781 * 10240; FER = 0.38457031 * 10240; time = 0.0531s; samplesPerSecond = 192992.7
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.16038208 * 10240; FER = 0.37324219 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.17718811 * 10240; FER = 0.37666016 * 10240; time = 0.0532s; samplesPerSecond = 192474.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.16464844 * 10240; FER = 0.37138672 * 10240; time = 0.0532s; samplesPerSecond = 192513.8
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.15772095 * 10240; FER = 0.36816406 * 10240; time = 0.0531s; samplesPerSecond = 193003.6
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.19674072 * 10240; FER = 0.37636719 * 10240; time = 0.0533s; samplesPerSecond = 192127.3
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.19442749 * 10240; FER = 0.38466797 * 10240; time = 0.0533s; samplesPerSecond = 192185.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.19727173 * 10240; FER = 0.38027344 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.17611084 * 10240; FER = 0.37861328 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.15908203 * 10240; FER = 0.36757812 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.18558350 * 10240; FER = 0.37773438 * 10240; time = 0.0532s; samplesPerSecond = 192369.1
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.17450562 * 10240; FER = 0.37050781 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.17975464 * 10240; FER = 0.37666016 * 10240; time = 0.0531s; samplesPerSecond = 193014.5
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.18087158 * 10240; FER = 0.37568359 * 10240; time = 0.0534s; samplesPerSecond = 191832.1
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.18516235 * 10240; FER = 0.37929687 * 10240; time = 0.0534s; samplesPerSecond = 191922.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.17279053 * 10240; FER = 0.37753906 * 10240; time = 0.0533s; samplesPerSecond = 192012.0
08/16/2016 10:37:07:  Epoch[ 9 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.18054810 * 10240; FER = 0.37529297 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.16657104 * 10240; FER = 0.37373047 * 10240; time = 0.0533s; samplesPerSecond = 192264.4
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.18814087 * 10240; FER = 0.37773438 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.16713867 * 10240; FER = 0.38037109 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.21986084 * 10240; FER = 0.38203125 * 10240; time = 0.0533s; samplesPerSecond = 191943.6
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.18293457 * 10240; FER = 0.38466797 * 10240; time = 0.0533s; samplesPerSecond = 192004.8
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.18474731 * 10240; FER = 0.37529297 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.18975220 * 10240; FER = 0.37490234 * 10240; time = 0.0534s; samplesPerSecond = 191684.9
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.18306885 * 10240; FER = 0.37744141 * 10240; time = 0.0533s; samplesPerSecond = 192138.1
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.16494751 * 10240; FER = 0.36884766 * 10240; time = 0.0534s; samplesPerSecond = 191591.7
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.16525269 * 10240; FER = 0.37167969 * 10240; time = 0.0542s; samplesPerSecond = 188853.2
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.19906006 * 10240; FER = 0.37636719 * 10240; time = 0.0542s; samplesPerSecond = 189069.4
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.16508789 * 10240; FER = 0.36943359 * 10240; time = 0.0536s; samplesPerSecond = 190920.1
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.15711670 * 10240; FER = 0.36503906 * 10240; time = 0.0535s; samplesPerSecond = 191380.4
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.14796753 * 10240; FER = 0.36728516 * 10240; time = 0.0534s; samplesPerSecond = 191810.6
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.15233154 * 10240; FER = 0.36992188 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.18517456 * 10240; FER = 0.37832031 * 10240; time = 0.0532s; samplesPerSecond = 192325.8
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.17909546 * 10240; FER = 0.37392578 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.19735718 * 10240; FER = 0.38408203 * 10240; time = 0.0533s; samplesPerSecond = 191994.0
08/16/2016 10:37:08:  Epoch[ 9 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.17263794 * 10240; FER = 0.38046875 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.19141846 * 10240; FER = 0.38271484 * 10240; time = 0.0532s; samplesPerSecond = 192655.0
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.16814575 * 10240; FER = 0.37099609 * 10240; time = 0.0530s; samplesPerSecond = 193047.3
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.17976074 * 10240; FER = 0.37656250 * 10240; time = 0.0530s; samplesPerSecond = 193080.0
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.20322876 * 10240; FER = 0.38720703 * 10240; time = 0.0531s; samplesPerSecond = 192763.8
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.17166748 * 10240; FER = 0.37656250 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.16918945 * 10240; FER = 0.37285156 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.19309692 * 10240; FER = 0.37656250 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.17404175 * 10240; FER = 0.37880859 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.18284912 * 10240; FER = 0.37939453 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.17513428 * 10240; FER = 0.37382813 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.20099487 * 10240; FER = 0.38251953 * 10240; time = 0.0533s; samplesPerSecond = 192156.1
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.18342285 * 10240; FER = 0.37734375 * 10240; time = 0.0536s; samplesPerSecond = 191023.4
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.16088867 * 10240; FER = 0.37275391 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.18187256 * 10240; FER = 0.37441406 * 10240; time = 0.0534s; samplesPerSecond = 191677.7
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.15892334 * 10240; FER = 0.37031250 * 10240; time = 0.0534s; samplesPerSecond = 191692.1
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.14906006 * 10240; FER = 0.37226562 * 10240; time = 0.0537s; samplesPerSecond = 190575.4
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.16623535 * 10240; FER = 0.37050781 * 10240; time = 0.0537s; samplesPerSecond = 190841.8
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.17600098 * 10240; FER = 0.37353516 * 10240; time = 0.0536s; samplesPerSecond = 190895.2
08/16/2016 10:37:09:  Epoch[ 9 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.18320312 * 10240; FER = 0.37871094 * 10240; time = 0.0536s; samplesPerSecond = 191180.3
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.16789551 * 10240; FER = 0.37587891 * 10240; time = 0.0534s; samplesPerSecond = 191688.5
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.14951172 * 10240; FER = 0.36855469 * 10240; time = 0.0536s; samplesPerSecond = 191109.0
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.16961670 * 10240; FER = 0.37812500 * 10240; time = 0.0536s; samplesPerSecond = 190930.8
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.17730713 * 10240; FER = 0.37568359 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.17507324 * 10240; FER = 0.37148437 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.15402832 * 10240; FER = 0.37167969 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.15635986 * 10240; FER = 0.36728516 * 10240; time = 0.0535s; samplesPerSecond = 191387.6
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.17844238 * 10240; FER = 0.37431641 * 10240; time = 0.0534s; samplesPerSecond = 191613.2
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.16552734 * 10240; FER = 0.37587891 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.18027344 * 10240; FER = 0.37011719 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.14221191 * 10240; FER = 0.37060547 * 10240; time = 0.0534s; samplesPerSecond = 191706.4
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.16420898 * 10240; FER = 0.37294922 * 10240; time = 0.0534s; samplesPerSecond = 191835.7
08/16/2016 10:37:10:  Epoch[ 9 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.16918945 * 10240; FER = 0.36826172 * 10240; time = 0.0534s; samplesPerSecond = 191853.7
08/16/2016 10:37:10: Finished Epoch[ 9 of 25]: [Training] CE.SM = 1.17451901 * 1124823; FER = 0.37472029 * 1124823; totalSamplesSeen = 10123407; learningRatePerSample = 0.003125; epochTime=6.05199s
08/16/2016 10:37:10: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.9'

08/16/2016 10:37:10: 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

08/16/2016 10:37:10: Starting minibatch loop.
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.13125429 * 10240; FER = 0.36474609 * 10240; time = 0.0561s; samplesPerSecond = 182485.7
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.12929201 * 10240; FER = 0.36318359 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.13513393 * 10240; FER = 0.36289063 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.13133888 * 10240; FER = 0.36875000 * 10240; time = 0.0533s; samplesPerSecond = 191965.2
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.15565338 * 10240; FER = 0.36367187 * 10240; time = 0.0533s; samplesPerSecond = 192210.2
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.12314339 * 10240; FER = 0.35683594 * 10240; time = 0.0534s; samplesPerSecond = 191825.0
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.14655380 * 10240; FER = 0.36435547 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.14053879 * 10240; FER = 0.37080078 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.13964310 * 10240; FER = 0.36230469 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.12408600 * 10240; FER = 0.35839844 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.12339096 * 10240; FER = 0.35908203 * 10240; time = 0.0533s; samplesPerSecond = 192242.7
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.15505905 * 10240; FER = 0.36835937 * 10240; time = 0.0536s; samplesPerSecond = 190959.3
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.15401917 * 10240; FER = 0.36835937 * 10240; time = 0.0534s; samplesPerSecond = 191620.4
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.14460907 * 10240; FER = 0.36230469 * 10240; time = 0.0532s; samplesPerSecond = 192448.6
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.15700684 * 10240; FER = 0.36611328 * 10240; time = 0.0532s; samplesPerSecond = 192300.5
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.16041107 * 10240; FER = 0.37236328 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.13309631 * 10240; FER = 0.35517578 * 10240; time = 0.0534s; samplesPerSecond = 191918.4
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.12859802 * 10240; FER = 0.35849609 * 10240; time = 0.0533s; samplesPerSecond = 192278.8
08/16/2016 10:37:11:  Epoch[10 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.14139862 * 10240; FER = 0.36718750 * 10240; time = 0.0533s; samplesPerSecond = 192109.3
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.15251770 * 10240; FER = 0.36845703 * 10240; time = 0.0531s; samplesPerSecond = 192676.8
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.15041351 * 10240; FER = 0.36513672 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.16457977 * 10240; FER = 0.37480469 * 10240; time = 0.0532s; samplesPerSecond = 192361.9
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.14935303 * 10240; FER = 0.36357422 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.14504395 * 10240; FER = 0.37041016 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.14770508 * 10240; FER = 0.36708984 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.14720459 * 10240; FER = 0.37080078 * 10240; time = 0.0533s; samplesPerSecond = 192188.6
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.13698120 * 10240; FER = 0.36425781 * 10240; time = 0.0533s; samplesPerSecond = 192217.4
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.13370972 * 10240; FER = 0.36250000 * 10240; time = 0.0531s; samplesPerSecond = 193014.5
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.15501709 * 10240; FER = 0.36894531 * 10240; time = 0.0531s; samplesPerSecond = 192673.2
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.14613342 * 10240; FER = 0.36445312 * 10240; time = 0.0531s; samplesPerSecond = 192912.7
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.13158264 * 10240; FER = 0.35839844 * 10240; time = 0.0535s; samplesPerSecond = 191333.9
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.15531311 * 10240; FER = 0.36542969 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.15336304 * 10240; FER = 0.36621094 * 10240; time = 0.0533s; samplesPerSecond = 192278.8
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.13297729 * 10240; FER = 0.36123047 * 10240; time = 0.0532s; samplesPerSecond = 192437.8
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.13342896 * 10240; FER = 0.36259766 * 10240; time = 0.0530s; samplesPerSecond = 193054.6
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.14375916 * 10240; FER = 0.36728516 * 10240; time = 0.0534s; samplesPerSecond = 191634.7
08/16/2016 10:37:12:  Epoch[10 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.15545959 * 10240; FER = 0.37050781 * 10240; time = 0.0535s; samplesPerSecond = 191573.7
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.13980713 * 10240; FER = 0.37080078 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.15194092 * 10240; FER = 0.36611328 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.14622803 * 10240; FER = 0.36953125 * 10240; time = 0.0533s; samplesPerSecond = 192080.4
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.13428345 * 10240; FER = 0.36435547 * 10240; time = 0.0531s; samplesPerSecond = 192923.6
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.14684143 * 10240; FER = 0.36435547 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.13597717 * 10240; FER = 0.36435547 * 10240; time = 0.0532s; samplesPerSecond = 192622.4
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.13052063 * 10240; FER = 0.36132812 * 10240; time = 0.0531s; samplesPerSecond = 192709.4
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.12974548 * 10240; FER = 0.36640625 * 10240; time = 0.0532s; samplesPerSecond = 192550.0
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.11936646 * 10240; FER = 0.35751953 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.13812256 * 10240; FER = 0.36884766 * 10240; time = 0.0531s; samplesPerSecond = 192760.2
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.14631348 * 10240; FER = 0.36582031 * 10240; time = 0.0530s; samplesPerSecond = 193317.0
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.14815063 * 10240; FER = 0.37031250 * 10240; time = 0.0534s; samplesPerSecond = 191846.5
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.13409424 * 10240; FER = 0.36777344 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.14345703 * 10240; FER = 0.36464844 * 10240; time = 0.0533s; samplesPerSecond = 192177.8
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.14511108 * 10240; FER = 0.36396484 * 10240; time = 0.0532s; samplesPerSecond = 192343.8
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.13227539 * 10240; FER = 0.36806641 * 10240; time = 0.0533s; samplesPerSecond = 192044.4
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.16536255 * 10240; FER = 0.37968750 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.15103760 * 10240; FER = 0.37119141 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:13:  Epoch[10 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.12933960 * 10240; FER = 0.35986328 * 10240; time = 0.0532s; samplesPerSecond = 192546.4
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.16172485 * 10240; FER = 0.37060547 * 10240; time = 0.0533s; samplesPerSecond = 192076.8
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.15471802 * 10240; FER = 0.36435547 * 10240; time = 0.0530s; samplesPerSecond = 193295.1
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.16058960 * 10240; FER = 0.36923828 * 10240; time = 0.0531s; samplesPerSecond = 193021.8
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.15519409 * 10240; FER = 0.37314453 * 10240; time = 0.0533s; samplesPerSecond = 192249.9
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.15638428 * 10240; FER = 0.37001953 * 10240; time = 0.0532s; samplesPerSecond = 192437.8
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.12774658 * 10240; FER = 0.36679688 * 10240; time = 0.0531s; samplesPerSecond = 192832.8
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.15336304 * 10240; FER = 0.37080078 * 10240; time = 0.0530s; samplesPerSecond = 193251.3
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.17948608 * 10240; FER = 0.38115234 * 10240; time = 0.0531s; samplesPerSecond = 192789.2
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.15202637 * 10240; FER = 0.37060547 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.12952271 * 10240; FER = 0.36523438 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.15322876 * 10240; FER = 0.37343750 * 10240; time = 0.0534s; samplesPerSecond = 191756.7
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.15863647 * 10240; FER = 0.36699219 * 10240; time = 0.0539s; samplesPerSecond = 190143.7
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.14680176 * 10240; FER = 0.37109375 * 10240; time = 0.0536s; samplesPerSecond = 190977.1
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.13072510 * 10240; FER = 0.36015625 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.15064697 * 10240; FER = 0.36552734 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.12241211 * 10240; FER = 0.36416016 * 10240; time = 0.0533s; samplesPerSecond = 192015.6
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.15650024 * 10240; FER = 0.36904297 * 10240; time = 0.0535s; samplesPerSecond = 191401.9
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.14275513 * 10240; FER = 0.37207031 * 10240; time = 0.0535s; samplesPerSecond = 191351.8
08/16/2016 10:37:14:  Epoch[10 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.15634766 * 10240; FER = 0.36455078 * 10240; time = 0.0535s; samplesPerSecond = 191405.4
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.14975586 * 10240; FER = 0.37011719 * 10240; time = 0.0533s; samplesPerSecond = 192123.7
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.14391479 * 10240; FER = 0.36953125 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.15851440 * 10240; FER = 0.37441406 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.14016724 * 10240; FER = 0.36855469 * 10240; time = 0.0534s; samplesPerSecond = 191860.9
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.14755859 * 10240; FER = 0.36542969 * 10240; time = 0.0534s; samplesPerSecond = 191713.6
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.15076904 * 10240; FER = 0.37011719 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.16057739 * 10240; FER = 0.36484375 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.13442383 * 10240; FER = 0.35771484 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.13890381 * 10240; FER = 0.36328125 * 10240; time = 0.0530s; samplesPerSecond = 193167.5
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.14113770 * 10240; FER = 0.36826172 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.13418579 * 10240; FER = 0.35800781 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.12975464 * 10240; FER = 0.36201172 * 10240; time = 0.0535s; samplesPerSecond = 191326.8
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.15608521 * 10240; FER = 0.37519531 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.16392212 * 10240; FER = 0.37431641 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.13765869 * 10240; FER = 0.36318359 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.13286133 * 10240; FER = 0.36142578 * 10240; time = 0.0530s; samplesPerSecond = 193032.7
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.14239502 * 10240; FER = 0.36445312 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.15311279 * 10240; FER = 0.36699219 * 10240; time = 0.0534s; samplesPerSecond = 191893.3
08/16/2016 10:37:15:  Epoch[10 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.12703857 * 10240; FER = 0.36562500 * 10240; time = 0.0533s; samplesPerSecond = 192293.2
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.14003906 * 10240; FER = 0.36337891 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.16474609 * 10240; FER = 0.37197266 * 10240; time = 0.0533s; samplesPerSecond = 192109.3
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.14166260 * 10240; FER = 0.36699219 * 10240; time = 0.0532s; samplesPerSecond = 192557.2
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.13354492 * 10240; FER = 0.36572266 * 10240; time = 0.0533s; samplesPerSecond = 192253.5
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.15938721 * 10240; FER = 0.36777344 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.13204346 * 10240; FER = 0.36132812 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.12907715 * 10240; FER = 0.36484375 * 10240; time = 0.0529s; samplesPerSecond = 193452.1
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.15886230 * 10240; FER = 0.37128906 * 10240; time = 0.0532s; samplesPerSecond = 192441.4
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.13966064 * 10240; FER = 0.36367187 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.13560791 * 10240; FER = 0.36123047 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.12253418 * 10240; FER = 0.36513672 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.13516846 * 10240; FER = 0.35878906 * 10240; time = 0.0533s; samplesPerSecond = 191947.2
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.14318848 * 10240; FER = 0.36601563 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.11768799 * 10240; FER = 0.36435547 * 10240; time = 0.0532s; samplesPerSecond = 192604.3
08/16/2016 10:37:16:  Epoch[10 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.15246582 * 10240; FER = 0.36757812 * 10240; time = 0.0534s; samplesPerSecond = 191717.2
08/16/2016 10:37:16: Finished Epoch[10 of 25]: [Training] CE.SM = 1.14367183 * 1124823; FER = 0.36629763 * 1124823; totalSamplesSeen = 11248230; learningRatePerSample = 0.003125; epochTime=6.03718s
08/16/2016 10:37:16: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.10'

08/16/2016 10:37:16: 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

08/16/2016 10:37:17: Starting minibatch loop.
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.11013985 * 10240; FER = 0.35810547 * 10240; time = 0.0561s; samplesPerSecond = 182514.9
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.11758251 * 10240; FER = 0.35976562 * 10240; time = 0.0539s; samplesPerSecond = 189935.6
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.08603001 * 10240; FER = 0.35078125 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.12933540 * 10240; FER = 0.36171875 * 10240; time = 0.0533s; samplesPerSecond = 192156.1
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.11314240 * 10240; FER = 0.36201172 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.13083344 * 10240; FER = 0.36181641 * 10240; time = 0.0533s; samplesPerSecond = 192163.3
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.11326294 * 10240; FER = 0.35898438 * 10240; time = 0.0532s; samplesPerSecond = 192340.2
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.09170227 * 10240; FER = 0.35634766 * 10240; time = 0.0534s; samplesPerSecond = 191803.4
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.13244324 * 10240; FER = 0.36220703 * 10240; time = 0.0532s; samplesPerSecond = 192502.9
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.10679245 * 10240; FER = 0.35234375 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.13049469 * 10240; FER = 0.36298828 * 10240; time = 0.0533s; samplesPerSecond = 192231.9
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.11267471 * 10240; FER = 0.36347656 * 10240; time = 0.0534s; samplesPerSecond = 191649.0
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.11536713 * 10240; FER = 0.35800781 * 10240; time = 0.0533s; samplesPerSecond = 192141.7
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.11042480 * 10240; FER = 0.35576172 * 10240; time = 0.0533s; samplesPerSecond = 192123.7
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.10527191 * 10240; FER = 0.35546875 * 10240; time = 0.0534s; samplesPerSecond = 191904.0
08/16/2016 10:37:17:  Epoch[11 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.12039032 * 10240; FER = 0.35751953 * 10240; time = 0.0534s; samplesPerSecond = 191606.0
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.11672211 * 10240; FER = 0.35664062 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.13332520 * 10240; FER = 0.36953125 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.11436462 * 10240; FER = 0.35878906 * 10240; time = 0.0533s; samplesPerSecond = 192228.3
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.11139679 * 10240; FER = 0.35341797 * 10240; time = 0.0531s; samplesPerSecond = 192923.6
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.11090546 * 10240; FER = 0.36005859 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.12106781 * 10240; FER = 0.35791016 * 10240; time = 0.0532s; samplesPerSecond = 192550.0
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.11680908 * 10240; FER = 0.35576172 * 10240; time = 0.0534s; samplesPerSecond = 191613.2
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.14656982 * 10240; FER = 0.37011719 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.12535095 * 10240; FER = 0.36005859 * 10240; time = 0.0534s; samplesPerSecond = 191864.5
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.12017822 * 10240; FER = 0.35810547 * 10240; time = 0.0533s; samplesPerSecond = 192228.3
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.12453918 * 10240; FER = 0.36562500 * 10240; time = 0.0533s; samplesPerSecond = 192278.8
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.11448975 * 10240; FER = 0.35898438 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.13351746 * 10240; FER = 0.36611328 * 10240; time = 0.0533s; samplesPerSecond = 192249.9
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.11043091 * 10240; FER = 0.35996094 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.11286316 * 10240; FER = 0.35615234 * 10240; time = 0.0533s; samplesPerSecond = 192076.8
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.13526611 * 10240; FER = 0.36337891 * 10240; time = 0.0534s; samplesPerSecond = 191785.4
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.11922607 * 10240; FER = 0.35908203 * 10240; time = 0.0532s; samplesPerSecond = 192398.0
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.13706970 * 10240; FER = 0.36386719 * 10240; time = 0.0534s; samplesPerSecond = 191602.4
08/16/2016 10:37:18:  Epoch[11 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.10705872 * 10240; FER = 0.35908203 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.11233826 * 10240; FER = 0.36005859 * 10240; time = 0.0534s; samplesPerSecond = 191627.5
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.11307068 * 10240; FER = 0.36191406 * 10240; time = 0.0534s; samplesPerSecond = 191842.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.10940857 * 10240; FER = 0.35976562 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.11213989 * 10240; FER = 0.35488281 * 10240; time = 0.0534s; samplesPerSecond = 191886.1
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.11937561 * 10240; FER = 0.36416016 * 10240; time = 0.0533s; samplesPerSecond = 192148.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.14643250 * 10240; FER = 0.35976562 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.08435974 * 10240; FER = 0.34882812 * 10240; time = 0.0532s; samplesPerSecond = 192535.5
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.12466431 * 10240; FER = 0.36533203 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.11945190 * 10240; FER = 0.35996094 * 10240; time = 0.0532s; samplesPerSecond = 192441.4
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.11318970 * 10240; FER = 0.35556641 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.09752502 * 10240; FER = 0.35273437 * 10240; time = 0.0534s; samplesPerSecond = 191684.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.13908691 * 10240; FER = 0.36367187 * 10240; time = 0.0540s; samplesPerSecond = 189640.2
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.12458496 * 10240; FER = 0.36796875 * 10240; time = 0.0535s; samplesPerSecond = 191548.7
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.11826782 * 10240; FER = 0.35986328 * 10240; time = 0.0536s; samplesPerSecond = 191219.6
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.09534302 * 10240; FER = 0.35322266 * 10240; time = 0.0536s; samplesPerSecond = 190937.9
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.13238525 * 10240; FER = 0.36064453 * 10240; time = 0.0536s; samplesPerSecond = 191126.8
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.09895630 * 10240; FER = 0.35556641 * 10240; time = 0.0535s; samplesPerSecond = 191366.1
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.11907349 * 10240; FER = 0.35732422 * 10240; time = 0.0535s; samplesPerSecond = 191362.5
08/16/2016 10:37:19:  Epoch[11 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.14003296 * 10240; FER = 0.36005859 * 10240; time = 0.0535s; samplesPerSecond = 191466.3
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.10136719 * 10240; FER = 0.35595703 * 10240; time = 0.0536s; samplesPerSecond = 190945.0
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.11159058 * 10240; FER = 0.35566406 * 10240; time = 0.0541s; samplesPerSecond = 189212.7
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.12770996 * 10240; FER = 0.36025391 * 10240; time = 0.0535s; samplesPerSecond = 191226.7
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.12466431 * 10240; FER = 0.36191406 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.11490479 * 10240; FER = 0.35761719 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.12665405 * 10240; FER = 0.36494141 * 10240; time = 0.0532s; samplesPerSecond = 192517.4
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.13658447 * 10240; FER = 0.36503906 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.11536865 * 10240; FER = 0.36025391 * 10240; time = 0.0532s; samplesPerSecond = 192383.6
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.12404785 * 10240; FER = 0.35478516 * 10240; time = 0.0531s; samplesPerSecond = 192938.2
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.08901367 * 10240; FER = 0.35458984 * 10240; time = 0.0533s; samplesPerSecond = 192015.6
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.10579224 * 10240; FER = 0.35400391 * 10240; time = 0.0534s; samplesPerSecond = 191835.7
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.11567383 * 10240; FER = 0.35244141 * 10240; time = 0.0536s; samplesPerSecond = 190930.8
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.12681274 * 10240; FER = 0.36445312 * 10240; time = 0.0532s; samplesPerSecond = 192426.9
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.12257080 * 10240; FER = 0.35654297 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.11285400 * 10240; FER = 0.35839844 * 10240; time = 0.0531s; samplesPerSecond = 192912.7
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.10765381 * 10240; FER = 0.35898438 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.11813354 * 10240; FER = 0.36289063 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.12649536 * 10240; FER = 0.36318359 * 10240; time = 0.0533s; samplesPerSecond = 192185.0
08/16/2016 10:37:20:  Epoch[11 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.10754395 * 10240; FER = 0.35546875 * 10240; time = 0.0530s; samplesPerSecond = 193218.5
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.08141479 * 10240; FER = 0.34580078 * 10240; time = 0.0530s; samplesPerSecond = 193036.4
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.11558838 * 10240; FER = 0.36376953 * 10240; time = 0.0535s; samplesPerSecond = 191376.8
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.11207886 * 10240; FER = 0.35849609 * 10240; time = 0.0532s; samplesPerSecond = 192575.3
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.13101807 * 10240; FER = 0.36259766 * 10240; time = 0.0535s; samplesPerSecond = 191484.2
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.11452637 * 10240; FER = 0.35576172 * 10240; time = 0.0534s; samplesPerSecond = 191918.4
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.12373657 * 10240; FER = 0.36337891 * 10240; time = 0.0536s; samplesPerSecond = 191116.1
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.12786255 * 10240; FER = 0.35898438 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.12388306 * 10240; FER = 0.35742188 * 10240; time = 0.0534s; samplesPerSecond = 191699.3
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.10711670 * 10240; FER = 0.35898438 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.10335083 * 10240; FER = 0.35468750 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.11414795 * 10240; FER = 0.35693359 * 10240; time = 0.0533s; samplesPerSecond = 192271.6
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.12182007 * 10240; FER = 0.36582031 * 10240; time = 0.0533s; samplesPerSecond = 192087.6
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.13924561 * 10240; FER = 0.36640625 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.11260986 * 10240; FER = 0.35527344 * 10240; time = 0.0531s; samplesPerSecond = 192967.2
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.11513062 * 10240; FER = 0.35771484 * 10240; time = 0.0530s; samplesPerSecond = 193109.2
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.11693115 * 10240; FER = 0.35986328 * 10240; time = 0.0531s; samplesPerSecond = 192985.4
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.11666260 * 10240; FER = 0.35126953 * 10240; time = 0.0531s; samplesPerSecond = 192829.2
08/16/2016 10:37:21:  Epoch[11 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.13859863 * 10240; FER = 0.36728516 * 10240; time = 0.0530s; samplesPerSecond = 193225.8
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.09983521 * 10240; FER = 0.35400391 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.13021240 * 10240; FER = 0.35810547 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.11968994 * 10240; FER = 0.35664062 * 10240; time = 0.0532s; samplesPerSecond = 192575.3
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.11763916 * 10240; FER = 0.36191406 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.12957764 * 10240; FER = 0.35947266 * 10240; time = 0.0529s; samplesPerSecond = 193393.6
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.11931152 * 10240; FER = 0.36044922 * 10240; time = 0.0531s; samplesPerSecond = 192960.0
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.12016602 * 10240; FER = 0.36191406 * 10240; time = 0.0529s; samplesPerSecond = 193470.4
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.11815186 * 10240; FER = 0.35888672 * 10240; time = 0.0534s; samplesPerSecond = 191702.9
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.11887207 * 10240; FER = 0.36093750 * 10240; time = 0.0534s; samplesPerSecond = 191864.5
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.09112549 * 10240; FER = 0.35400391 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.11810303 * 10240; FER = 0.36054687 * 10240; time = 0.0531s; samplesPerSecond = 192676.8
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.13078613 * 10240; FER = 0.36376953 * 10240; time = 0.0530s; samplesPerSecond = 193200.3
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.11856689 * 10240; FER = 0.36113281 * 10240; time = 0.0534s; samplesPerSecond = 191728.0
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.12314453 * 10240; FER = 0.35791016 * 10240; time = 0.0533s; samplesPerSecond = 192051.6
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.12415771 * 10240; FER = 0.36220703 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.10408936 * 10240; FER = 0.36015625 * 10240; time = 0.0553s; samplesPerSecond = 185158.4
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.11793213 * 10240; FER = 0.36123047 * 10240; time = 0.0534s; samplesPerSecond = 191674.2
08/16/2016 10:37:22:  Epoch[11 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.10169678 * 10240; FER = 0.35458984 * 10240; time = 0.0535s; samplesPerSecond = 191355.4
08/16/2016 10:37:22: Finished Epoch[11 of 25]: [Training] CE.SM = 1.11729423 * 1124823; FER = 0.35923252 * 1124823; totalSamplesSeen = 12373053; learningRatePerSample = 0.003125; epochTime=6.04252s
08/16/2016 10:37:23: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.11'

08/16/2016 10:37:23: 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

08/16/2016 10:37:23: Starting minibatch loop.
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.09428177 * 10240; FER = 0.35878906 * 10240; time = 0.0556s; samplesPerSecond = 184185.9
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.10630455 * 10240; FER = 0.35761719 * 10240; time = 0.0533s; samplesPerSecond = 192073.2
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.07735138 * 10240; FER = 0.35214844 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.08382492 * 10240; FER = 0.34912109 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.07119026 * 10240; FER = 0.35458984 * 10240; time = 0.0534s; samplesPerSecond = 191796.2
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.06439056 * 10240; FER = 0.34199219 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.10226212 * 10240; FER = 0.35000000 * 10240; time = 0.0533s; samplesPerSecond = 192242.7
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.08321609 * 10240; FER = 0.34062500 * 10240; time = 0.0532s; samplesPerSecond = 192322.1
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.10228271 * 10240; FER = 0.35625000 * 10240; time = 0.0533s; samplesPerSecond = 192217.4
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.07937393 * 10240; FER = 0.34902344 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.08526688 * 10240; FER = 0.34492187 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.05787811 * 10240; FER = 0.34550781 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.05537262 * 10240; FER = 0.33916016 * 10240; time = 0.0532s; samplesPerSecond = 192481.2
08/16/2016 10:37:23:  Epoch[12 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.10873871 * 10240; FER = 0.36035156 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.08774567 * 10240; FER = 0.34833984 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.09699097 * 10240; FER = 0.35673828 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.08446198 * 10240; FER = 0.34931641 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.11861877 * 10240; FER = 0.35849609 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.05113068 * 10240; FER = 0.34023437 * 10240; time = 0.0533s; samplesPerSecond = 191958.0
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.11125488 * 10240; FER = 0.35917969 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.07129517 * 10240; FER = 0.34931641 * 10240; time = 0.0533s; samplesPerSecond = 192260.8
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.09653320 * 10240; FER = 0.35546875 * 10240; time = 0.0531s; samplesPerSecond = 192669.5
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.11165009 * 10240; FER = 0.35244141 * 10240; time = 0.0534s; samplesPerSecond = 191900.5
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.09201050 * 10240; FER = 0.35537109 * 10240; time = 0.0531s; samplesPerSecond = 192905.4
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.09124451 * 10240; FER = 0.35498047 * 10240; time = 0.0537s; samplesPerSecond = 190713.9
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.09103088 * 10240; FER = 0.35312500 * 10240; time = 0.0537s; samplesPerSecond = 190603.8
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.08513184 * 10240; FER = 0.35517578 * 10240; time = 0.0537s; samplesPerSecond = 190547.1
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.08116455 * 10240; FER = 0.35751953 * 10240; time = 0.0535s; samplesPerSecond = 191380.4
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.10014343 * 10240; FER = 0.35732422 * 10240; time = 0.0533s; samplesPerSecond = 192289.6
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.09835205 * 10240; FER = 0.35185547 * 10240; time = 0.0535s; samplesPerSecond = 191241.0
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.07117310 * 10240; FER = 0.34804687 * 10240; time = 0.0534s; samplesPerSecond = 191889.7
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.10414124 * 10240; FER = 0.35585937 * 10240; time = 0.0534s; samplesPerSecond = 191602.4
08/16/2016 10:37:24:  Epoch[12 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.11402283 * 10240; FER = 0.35322266 * 10240; time = 0.0534s; samplesPerSecond = 191580.9
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.07157593 * 10240; FER = 0.34736328 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.11593323 * 10240; FER = 0.35869141 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.10029907 * 10240; FER = 0.35791016 * 10240; time = 0.0534s; samplesPerSecond = 191789.0
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.09443359 * 10240; FER = 0.35175781 * 10240; time = 0.0532s; samplesPerSecond = 192361.9
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.09869080 * 10240; FER = 0.35195312 * 10240; time = 0.0534s; samplesPerSecond = 191763.9
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.12828674 * 10240; FER = 0.36083984 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.05599976 * 10240; FER = 0.33916016 * 10240; time = 0.0532s; samplesPerSecond = 192513.8
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.07878113 * 10240; FER = 0.35166016 * 10240; time = 0.0530s; samplesPerSecond = 193357.1
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.09603882 * 10240; FER = 0.34707031 * 10240; time = 0.0530s; samplesPerSecond = 193349.8
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.09259338 * 10240; FER = 0.35507813 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.09170837 * 10240; FER = 0.35537109 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.09005432 * 10240; FER = 0.35341797 * 10240; time = 0.0537s; samplesPerSecond = 190792.0
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.10001831 * 10240; FER = 0.35458984 * 10240; time = 0.0534s; samplesPerSecond = 191684.9
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.10291138 * 10240; FER = 0.35449219 * 10240; time = 0.0534s; samplesPerSecond = 191613.2
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.10140991 * 10240; FER = 0.35986328 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.11515503 * 10240; FER = 0.35771484 * 10240; time = 0.0533s; samplesPerSecond = 192145.3
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.10114746 * 10240; FER = 0.35087891 * 10240; time = 0.0532s; samplesPerSecond = 192647.8
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.10441895 * 10240; FER = 0.35302734 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:25:  Epoch[12 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.09461060 * 10240; FER = 0.35800781 * 10240; time = 0.0531s; samplesPerSecond = 192771.1
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.09779053 * 10240; FER = 0.35146484 * 10240; time = 0.0533s; samplesPerSecond = 192120.1
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.08496094 * 10240; FER = 0.34970703 * 10240; time = 0.0533s; samplesPerSecond = 192159.7
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.10487671 * 10240; FER = 0.35273437 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.08417969 * 10240; FER = 0.35195312 * 10240; time = 0.0534s; samplesPerSecond = 191667.0
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.07817383 * 10240; FER = 0.34160156 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.07653198 * 10240; FER = 0.34423828 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.09304199 * 10240; FER = 0.35000000 * 10240; time = 0.0532s; samplesPerSecond = 192437.8
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.08310547 * 10240; FER = 0.35253906 * 10240; time = 0.0532s; samplesPerSecond = 192343.8
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.08051758 * 10240; FER = 0.35048828 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.10485840 * 10240; FER = 0.35849609 * 10240; time = 0.0534s; samplesPerSecond = 191878.9
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.08165894 * 10240; FER = 0.35234375 * 10240; time = 0.0534s; samplesPerSecond = 191767.5
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.07248535 * 10240; FER = 0.34804687 * 10240; time = 0.0534s; samplesPerSecond = 191785.4
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.09181519 * 10240; FER = 0.35166016 * 10240; time = 0.0533s; samplesPerSecond = 192120.1
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.07900391 * 10240; FER = 0.34833984 * 10240; time = 0.0531s; samplesPerSecond = 192742.1
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.07609253 * 10240; FER = 0.34794922 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.09284058 * 10240; FER = 0.35419922 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.08045044 * 10240; FER = 0.34824219 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:26:  Epoch[12 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.09279175 * 10240; FER = 0.35361328 * 10240; time = 0.0531s; samplesPerSecond = 192705.8
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.11223145 * 10240; FER = 0.36132812 * 10240; time = 0.0533s; samplesPerSecond = 192102.1
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.09132690 * 10240; FER = 0.35029297 * 10240; time = 0.0530s; samplesPerSecond = 193236.7
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.08406372 * 10240; FER = 0.34970703 * 10240; time = 0.0533s; samplesPerSecond = 192271.6
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.10045166 * 10240; FER = 0.35351562 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.11130371 * 10240; FER = 0.35322266 * 10240; time = 0.0533s; samplesPerSecond = 191968.8
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.10321655 * 10240; FER = 0.35683594 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.07282104 * 10240; FER = 0.34287109 * 10240; time = 0.0532s; samplesPerSecond = 192423.3
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.09794312 * 10240; FER = 0.34833984 * 10240; time = 0.0534s; samplesPerSecond = 191677.7
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.09742432 * 10240; FER = 0.35312500 * 10240; time = 0.0530s; samplesPerSecond = 193098.2
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.08808594 * 10240; FER = 0.35273437 * 10240; time = 0.0531s; samplesPerSecond = 192832.8
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.11408081 * 10240; FER = 0.35849609 * 10240; time = 0.0533s; samplesPerSecond = 192253.5
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.10880127 * 10240; FER = 0.35126953 * 10240; time = 0.0533s; samplesPerSecond = 192174.2
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.09587402 * 10240; FER = 0.35498047 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.09772339 * 10240; FER = 0.35839844 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.08191528 * 10240; FER = 0.35000000 * 10240; time = 0.0535s; samplesPerSecond = 191466.3
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.08841553 * 10240; FER = 0.35146484 * 10240; time = 0.0532s; samplesPerSecond = 192662.3
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.10509033 * 10240; FER = 0.35800781 * 10240; time = 0.0531s; samplesPerSecond = 193003.6
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.08698120 * 10240; FER = 0.34980469 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:37:27:  Epoch[12 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.11852417 * 10240; FER = 0.36113281 * 10240; time = 0.0532s; samplesPerSecond = 192539.1
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.09665527 * 10240; FER = 0.35097656 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.09862061 * 10240; FER = 0.35634766 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.09664307 * 10240; FER = 0.35205078 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.10357056 * 10240; FER = 0.34990234 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.10001221 * 10240; FER = 0.35185547 * 10240; time = 0.0534s; samplesPerSecond = 191602.4
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.08194580 * 10240; FER = 0.35253906 * 10240; time = 0.0532s; samplesPerSecond = 192615.2
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.10650635 * 10240; FER = 0.35937500 * 10240; time = 0.0532s; samplesPerSecond = 192510.2
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.11221924 * 10240; FER = 0.35615234 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.10516357 * 10240; FER = 0.35390625 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.09582520 * 10240; FER = 0.35595703 * 10240; time = 0.0538s; samplesPerSecond = 190193.2
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.10338135 * 10240; FER = 0.35468750 * 10240; time = 0.0534s; samplesPerSecond = 191609.6
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.10783691 * 10240; FER = 0.36015625 * 10240; time = 0.0536s; samplesPerSecond = 191183.9
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.08690186 * 10240; FER = 0.34941406 * 10240; time = 0.0534s; samplesPerSecond = 191850.1
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.07595215 * 10240; FER = 0.34453125 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.09427490 * 10240; FER = 0.35351562 * 10240; time = 0.0533s; samplesPerSecond = 192260.8
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.07967529 * 10240; FER = 0.34765625 * 10240; time = 0.0534s; samplesPerSecond = 191699.3
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.09117432 * 10240; FER = 0.35087891 * 10240; time = 0.0532s; samplesPerSecond = 192423.3
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.08845215 * 10240; FER = 0.34853516 * 10240; time = 0.0534s; samplesPerSecond = 191882.5
08/16/2016 10:37:28:  Epoch[12 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.10150146 * 10240; FER = 0.35234375 * 10240; time = 0.0531s; samplesPerSecond = 192731.2
08/16/2016 10:37:29:  Epoch[12 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.12141113 * 10240; FER = 0.35673828 * 10240; time = 0.0532s; samplesPerSecond = 192445.0
08/16/2016 10:37:29: Finished Epoch[12 of 25]: [Training] CE.SM = 1.09312854 * 1124823; FER = 0.35247234 * 1124823; totalSamplesSeen = 13497876; learningRatePerSample = 0.003125; epochTime=6.04152s
08/16/2016 10:37:29: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.12'

08/16/2016 10:37:29: 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

08/16/2016 10:37:29: Starting minibatch loop.
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.07847519 * 10240; FER = 0.34804687 * 10240; time = 0.0562s; samplesPerSecond = 182294.0
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.06234035 * 10240; FER = 0.34238281 * 10240; time = 0.0534s; samplesPerSecond = 191846.5
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.04472637 * 10240; FER = 0.33681641 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.05375862 * 10240; FER = 0.34443359 * 10240; time = 0.0534s; samplesPerSecond = 191839.3
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.05722084 * 10240; FER = 0.34316406 * 10240; time = 0.0539s; samplesPerSecond = 190108.4
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.10131416 * 10240; FER = 0.35224609 * 10240; time = 0.0539s; samplesPerSecond = 190048.4
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.08205490 * 10240; FER = 0.34326172 * 10240; time = 0.0533s; samplesPerSecond = 192112.9
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.06592407 * 10240; FER = 0.34902344 * 10240; time = 0.0533s; samplesPerSecond = 191943.6
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.06747894 * 10240; FER = 0.34921875 * 10240; time = 0.0533s; samplesPerSecond = 192221.1
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.07435074 * 10240; FER = 0.34824219 * 10240; time = 0.0533s; samplesPerSecond = 192030.0
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.06087875 * 10240; FER = 0.34023437 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:37:29:  Epoch[13 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.05656738 * 10240; FER = 0.33876953 * 10240; time = 0.0534s; samplesPerSecond = 191792.6
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.05701752 * 10240; FER = 0.33955078 * 10240; time = 0.0533s; samplesPerSecond = 191968.8
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.07508240 * 10240; FER = 0.34882812 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.05797272 * 10240; FER = 0.34267578 * 10240; time = 0.0532s; samplesPerSecond = 192351.0
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.08876801 * 10240; FER = 0.35263672 * 10240; time = 0.0533s; samplesPerSecond = 191986.8
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.08114929 * 10240; FER = 0.35498047 * 10240; time = 0.0533s; samplesPerSecond = 192163.3
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.07312164 * 10240; FER = 0.34130859 * 10240; time = 0.0532s; samplesPerSecond = 192600.7
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.05458679 * 10240; FER = 0.34511719 * 10240; time = 0.0533s; samplesPerSecond = 192127.3
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.08646393 * 10240; FER = 0.34892578 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.08774109 * 10240; FER = 0.34775391 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.07509613 * 10240; FER = 0.35224609 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.07667542 * 10240; FER = 0.35195312 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.08643494 * 10240; FER = 0.35078125 * 10240; time = 0.0538s; samplesPerSecond = 190412.4
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.06344910 * 10240; FER = 0.34609375 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.04615784 * 10240; FER = 0.33310547 * 10240; time = 0.0532s; samplesPerSecond = 192466.7
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.07268372 * 10240; FER = 0.34316406 * 10240; time = 0.0532s; samplesPerSecond = 192622.4
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.05889893 * 10240; FER = 0.33984375 * 10240; time = 0.0532s; samplesPerSecond = 192463.1
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.06669312 * 10240; FER = 0.34355469 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.08533325 * 10240; FER = 0.35107422 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:37:30:  Epoch[13 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.05982361 * 10240; FER = 0.34482422 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.04539185 * 10240; FER = 0.33789062 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.05976257 * 10240; FER = 0.33896484 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.07279358 * 10240; FER = 0.33847656 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.08453369 * 10240; FER = 0.34873047 * 10240; time = 0.0530s; samplesPerSecond = 193225.8
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.06855774 * 10240; FER = 0.34736328 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.06466064 * 10240; FER = 0.34003906 * 10240; time = 0.0532s; samplesPerSecond = 192383.6
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.09118347 * 10240; FER = 0.35185547 * 10240; time = 0.0531s; samplesPerSecond = 192734.8
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.05009766 * 10240; FER = 0.33964844 * 10240; time = 0.0532s; samplesPerSecond = 192329.4
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.07396851 * 10240; FER = 0.34453125 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.06683960 * 10240; FER = 0.34375000 * 10240; time = 0.0534s; samplesPerSecond = 191602.4
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.08471069 * 10240; FER = 0.34804687 * 10240; time = 0.0535s; samplesPerSecond = 191552.2
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.07568970 * 10240; FER = 0.34970703 * 10240; time = 0.0532s; samplesPerSecond = 192445.0
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.07488708 * 10240; FER = 0.34189453 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.06603088 * 10240; FER = 0.34550781 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.08058777 * 10240; FER = 0.34677734 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.07737427 * 10240; FER = 0.34746094 * 10240; time = 0.0532s; samplesPerSecond = 192499.3
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.05959778 * 10240; FER = 0.34707031 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:31:  Epoch[13 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.07178345 * 10240; FER = 0.34414062 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.07756958 * 10240; FER = 0.35058594 * 10240; time = 0.0531s; samplesPerSecond = 192771.1
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.04069824 * 10240; FER = 0.33623047 * 10240; time = 0.0533s; samplesPerSecond = 191983.2
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.06993408 * 10240; FER = 0.34521484 * 10240; time = 0.0533s; samplesPerSecond = 192145.3
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.07345581 * 10240; FER = 0.34433594 * 10240; time = 0.0531s; samplesPerSecond = 193007.3
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.06259766 * 10240; FER = 0.34589844 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.05139160 * 10240; FER = 0.34443359 * 10240; time = 0.0533s; samplesPerSecond = 192286.0
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.07095337 * 10240; FER = 0.34804687 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.08507690 * 10240; FER = 0.35371094 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.07348633 * 10240; FER = 0.34619141 * 10240; time = 0.0530s; samplesPerSecond = 193134.7
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.07989502 * 10240; FER = 0.34404297 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.06156616 * 10240; FER = 0.34355469 * 10240; time = 0.0530s; samplesPerSecond = 193138.3
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.05660400 * 10240; FER = 0.34335938 * 10240; time = 0.0533s; samplesPerSecond = 192051.6
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.04472656 * 10240; FER = 0.33271484 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.09455566 * 10240; FER = 0.35029297 * 10240; time = 0.0530s; samplesPerSecond = 193080.0
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.06510620 * 10240; FER = 0.34863281 * 10240; time = 0.0530s; samplesPerSecond = 193357.1
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.07896118 * 10240; FER = 0.34824219 * 10240; time = 0.0529s; samplesPerSecond = 193470.4
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.06796265 * 10240; FER = 0.34736328 * 10240; time = 0.0530s; samplesPerSecond = 193160.2
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.06450195 * 10240; FER = 0.34843750 * 10240; time = 0.0530s; samplesPerSecond = 193065.5
08/16/2016 10:37:32:  Epoch[13 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.06455078 * 10240; FER = 0.34189453 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.09984131 * 10240; FER = 0.35791016 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.08946533 * 10240; FER = 0.34531250 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.07454834 * 10240; FER = 0.35214844 * 10240; time = 0.0533s; samplesPerSecond = 192058.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.08892212 * 10240; FER = 0.35117188 * 10240; time = 0.0531s; samplesPerSecond = 193003.6
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.05958862 * 10240; FER = 0.34736328 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.06248779 * 10240; FER = 0.34287109 * 10240; time = 0.0531s; samplesPerSecond = 192821.9
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.07402344 * 10240; FER = 0.34599609 * 10240; time = 0.0530s; samplesPerSecond = 193364.4
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.06822510 * 10240; FER = 0.34531250 * 10240; time = 0.0531s; samplesPerSecond = 192967.2
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.07632446 * 10240; FER = 0.34697266 * 10240; time = 0.0531s; samplesPerSecond = 192887.3
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.05687256 * 10240; FER = 0.34179688 * 10240; time = 0.0530s; samplesPerSecond = 193349.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.06782227 * 10240; FER = 0.34990234 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.05724487 * 10240; FER = 0.34072266 * 10240; time = 0.0532s; samplesPerSecond = 192517.4
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.07211914 * 10240; FER = 0.34765625 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.05391235 * 10240; FER = 0.34453125 * 10240; time = 0.0531s; samplesPerSecond = 192890.9
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.09883423 * 10240; FER = 0.35390625 * 10240; time = 0.0530s; samplesPerSecond = 193101.9
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.08539429 * 10240; FER = 0.35332031 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.07155151 * 10240; FER = 0.34775391 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.05975342 * 10240; FER = 0.33818359 * 10240; time = 0.0530s; samplesPerSecond = 193287.8
08/16/2016 10:37:33:  Epoch[13 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.08506470 * 10240; FER = 0.35703125 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.06436768 * 10240; FER = 0.34267578 * 10240; time = 0.0532s; samplesPerSecond = 192314.9
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.07120361 * 10240; FER = 0.34931641 * 10240; time = 0.0535s; samplesPerSecond = 191530.7
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.08026733 * 10240; FER = 0.34667969 * 10240; time = 0.0531s; samplesPerSecond = 192731.2
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.06531372 * 10240; FER = 0.34599609 * 10240; time = 0.0533s; samplesPerSecond = 191968.8
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.03915405 * 10240; FER = 0.33554688 * 10240; time = 0.0530s; samplesPerSecond = 193174.7
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.08918457 * 10240; FER = 0.35058594 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.09135132 * 10240; FER = 0.35585937 * 10240; time = 0.0530s; samplesPerSecond = 193083.7
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.07683716 * 10240; FER = 0.35078125 * 10240; time = 0.0533s; samplesPerSecond = 192268.0
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.08220825 * 10240; FER = 0.34521484 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.09206543 * 10240; FER = 0.35400391 * 10240; time = 0.0530s; samplesPerSecond = 193335.2
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.06611328 * 10240; FER = 0.34492187 * 10240; time = 0.0536s; samplesPerSecond = 191055.5
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.09024658 * 10240; FER = 0.34970703 * 10240; time = 0.0541s; samplesPerSecond = 189443.7
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.07416992 * 10240; FER = 0.34667969 * 10240; time = 0.0539s; samplesPerSecond = 189956.8
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.06873779 * 10240; FER = 0.34648438 * 10240; time = 0.0535s; samplesPerSecond = 191452.0
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.04978027 * 10240; FER = 0.34238281 * 10240; time = 0.0534s; samplesPerSecond = 191853.7
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.08773193 * 10240; FER = 0.35898438 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.07272949 * 10240; FER = 0.34667969 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.08140869 * 10240; FER = 0.34628906 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:37:34:  Epoch[13 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.08143311 * 10240; FER = 0.34433594 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:37:35:  Epoch[13 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.10870361 * 10240; FER = 0.35791016 * 10240; time = 0.0531s; samplesPerSecond = 192985.4
08/16/2016 10:37:35:  Epoch[13 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.09674072 * 10240; FER = 0.35400391 * 10240; time = 0.0531s; samplesPerSecond = 192702.2
08/16/2016 10:37:35:  Epoch[13 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.04387207 * 10240; FER = 0.33525391 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:37:35: Finished Epoch[13 of 25]: [Training] CE.SM = 1.07155326 * 1124823; FER = 0.34630426 * 1124823; totalSamplesSeen = 14622699; learningRatePerSample = 0.003125; epochTime=6.03564s
08/16/2016 10:37:35: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.13'

08/16/2016 10:37:35: 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

08/16/2016 10:37:35: Starting minibatch loop.
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.04719524 * 10240; FER = 0.33798828 * 10240; time = 0.0559s; samplesPerSecond = 183122.0
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.03938541 * 10240; FER = 0.33369141 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.02960224 * 10240; FER = 0.33164063 * 10240; time = 0.0531s; samplesPerSecond = 192865.5
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.01860828 * 10240; FER = 0.33447266 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.03484993 * 10240; FER = 0.32968750 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.05743332 * 10240; FER = 0.34003906 * 10240; time = 0.0530s; samplesPerSecond = 193371.7
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.03088913 * 10240; FER = 0.33251953 * 10240; time = 0.0530s; samplesPerSecond = 193156.5
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.04272003 * 10240; FER = 0.34121094 * 10240; time = 0.0530s; samplesPerSecond = 193174.7
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.01927261 * 10240; FER = 0.33242187 * 10240; time = 0.0532s; samplesPerSecond = 192325.8
08/16/2016 10:37:35:  Epoch[14 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 1.04221878 * 10240; FER = 0.33818359 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.06667099 * 10240; FER = 0.34794922 * 10240; time = 0.0532s; samplesPerSecond = 192361.9
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.05077438 * 10240; FER = 0.34042969 * 10240; time = 0.0532s; samplesPerSecond = 192521.0
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.03538361 * 10240; FER = 0.33779297 * 10240; time = 0.0530s; samplesPerSecond = 193276.8
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.04539337 * 10240; FER = 0.34052734 * 10240; time = 0.0531s; samplesPerSecond = 192832.8
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.03419342 * 10240; FER = 0.33330078 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 1.03246918 * 10240; FER = 0.33808594 * 10240; time = 0.0529s; samplesPerSecond = 193554.5
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.04901886 * 10240; FER = 0.34248047 * 10240; time = 0.0532s; samplesPerSecond = 192383.6
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.05856323 * 10240; FER = 0.34277344 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.06395264 * 10240; FER = 0.34511719 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.03707275 * 10240; FER = 0.33261719 * 10240; time = 0.0530s; samplesPerSecond = 193240.4
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.02637939 * 10240; FER = 0.33085938 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.01820068 * 10240; FER = 0.33564453 * 10240; time = 0.0536s; samplesPerSecond = 191208.9
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.03766327 * 10240; FER = 0.33574219 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.02770081 * 10240; FER = 0.33476563 * 10240; time = 0.0532s; samplesPerSecond = 192600.7
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.05493774 * 10240; FER = 0.33935547 * 10240; time = 0.0531s; samplesPerSecond = 192854.6
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.06408691 * 10240; FER = 0.34921875 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.05474854 * 10240; FER = 0.33808594 * 10240; time = 0.0531s; samplesPerSecond = 192865.5
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.03345947 * 10240; FER = 0.33632812 * 10240; time = 0.0532s; samplesPerSecond = 192463.1
08/16/2016 10:37:36:  Epoch[14 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.05861206 * 10240; FER = 0.34013672 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.03764954 * 10240; FER = 0.33466797 * 10240; time = 0.0530s; samplesPerSecond = 193247.7
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.06612244 * 10240; FER = 0.34365234 * 10240; time = 0.0529s; samplesPerSecond = 193514.2
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.04841003 * 10240; FER = 0.34980469 * 10240; time = 0.0531s; samplesPerSecond = 192807.4
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.04506531 * 10240; FER = 0.33798828 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.06271973 * 10240; FER = 0.34677734 * 10240; time = 0.0532s; samplesPerSecond = 192524.6
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.03814392 * 10240; FER = 0.33769531 * 10240; time = 0.0532s; samplesPerSecond = 192589.8
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.07076416 * 10240; FER = 0.34375000 * 10240; time = 0.0533s; samplesPerSecond = 192260.8
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.03430481 * 10240; FER = 0.33310547 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.04474487 * 10240; FER = 0.33593750 * 10240; time = 0.0533s; samplesPerSecond = 192084.0
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.03565063 * 10240; FER = 0.33544922 * 10240; time = 0.0532s; samplesPerSecond = 192662.3
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.05260010 * 10240; FER = 0.34277344 * 10240; time = 0.0534s; samplesPerSecond = 191914.8
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.03412170 * 10240; FER = 0.33281250 * 10240; time = 0.0532s; samplesPerSecond = 192615.2
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.04975891 * 10240; FER = 0.34150391 * 10240; time = 0.0531s; samplesPerSecond = 192673.2
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.05438843 * 10240; FER = 0.33818359 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.04502258 * 10240; FER = 0.34228516 * 10240; time = 0.0531s; samplesPerSecond = 192756.6
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.04611511 * 10240; FER = 0.34433594 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.05305481 * 10240; FER = 0.33847656 * 10240; time = 0.0532s; samplesPerSecond = 192517.4
08/16/2016 10:37:37:  Epoch[14 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.03398743 * 10240; FER = 0.33281250 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.04039001 * 10240; FER = 0.33759766 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.04797974 * 10240; FER = 0.33867188 * 10240; time = 0.0531s; samplesPerSecond = 192898.2
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.05669861 * 10240; FER = 0.34101562 * 10240; time = 0.0530s; samplesPerSecond = 193094.6
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.04691772 * 10240; FER = 0.33564453 * 10240; time = 0.0531s; samplesPerSecond = 192821.9
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.04206543 * 10240; FER = 0.33779297 * 10240; time = 0.0531s; samplesPerSecond = 192887.3
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 1.04520264 * 10240; FER = 0.34257813 * 10240; time = 0.0532s; samplesPerSecond = 192604.3
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.06946411 * 10240; FER = 0.34052734 * 10240; time = 0.0531s; samplesPerSecond = 192905.4
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.06295776 * 10240; FER = 0.34453125 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.07522583 * 10240; FER = 0.34736328 * 10240; time = 0.0536s; samplesPerSecond = 191130.4
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.05906982 * 10240; FER = 0.34873047 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.06108398 * 10240; FER = 0.33759766 * 10240; time = 0.0533s; samplesPerSecond = 192058.8
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.05087891 * 10240; FER = 0.34550781 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.05029907 * 10240; FER = 0.33984375 * 10240; time = 0.0534s; samplesPerSecond = 191936.4
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.07218628 * 10240; FER = 0.34570312 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.06142578 * 10240; FER = 0.34433594 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.05139160 * 10240; FER = 0.34472656 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.04085693 * 10240; FER = 0.33671875 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.05535278 * 10240; FER = 0.34628906 * 10240; time = 0.0531s; samplesPerSecond = 192731.2
08/16/2016 10:37:38:  Epoch[14 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.06168823 * 10240; FER = 0.34404297 * 10240; time = 0.0532s; samplesPerSecond = 192314.9
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.06578979 * 10240; FER = 0.34453125 * 10240; time = 0.0530s; samplesPerSecond = 193109.2
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.04126587 * 10240; FER = 0.33710937 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.03813477 * 10240; FER = 0.33486328 * 10240; time = 0.0531s; samplesPerSecond = 192756.6
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.06614380 * 10240; FER = 0.34111328 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.03859863 * 10240; FER = 0.33593750 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.05526733 * 10240; FER = 0.34433594 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.05256958 * 10240; FER = 0.33496094 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.03380127 * 10240; FER = 0.34091797 * 10240; time = 0.0531s; samplesPerSecond = 192702.2
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.04836426 * 10240; FER = 0.33632812 * 10240; time = 0.0531s; samplesPerSecond = 192807.4
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.07607422 * 10240; FER = 0.34755859 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.06093750 * 10240; FER = 0.34355469 * 10240; time = 0.0531s; samplesPerSecond = 192880.0
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.04760132 * 10240; FER = 0.34130859 * 10240; time = 0.0537s; samplesPerSecond = 190717.4
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.06157227 * 10240; FER = 0.34580078 * 10240; time = 0.0537s; samplesPerSecond = 190646.4
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.05815430 * 10240; FER = 0.34960938 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.05697632 * 10240; FER = 0.34013672 * 10240; time = 0.0533s; samplesPerSecond = 192260.8
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.06699219 * 10240; FER = 0.34580078 * 10240; time = 0.0531s; samplesPerSecond = 193021.8
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.05247803 * 10240; FER = 0.34062500 * 10240; time = 0.0531s; samplesPerSecond = 192989.1
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.06658936 * 10240; FER = 0.34384766 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:39:  Epoch[14 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.05018921 * 10240; FER = 0.33818359 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.04824829 * 10240; FER = 0.34404297 * 10240; time = 0.0532s; samplesPerSecond = 192300.5
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.04257812 * 10240; FER = 0.33525391 * 10240; time = 0.0530s; samplesPerSecond = 193040.0
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.05776978 * 10240; FER = 0.34052734 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.05607300 * 10240; FER = 0.33886719 * 10240; time = 0.0531s; samplesPerSecond = 192756.6
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.04969482 * 10240; FER = 0.34101562 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.05908203 * 10240; FER = 0.34345703 * 10240; time = 0.0534s; samplesPerSecond = 191828.6
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.06005859 * 10240; FER = 0.34462891 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.07468872 * 10240; FER = 0.34716797 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.05088501 * 10240; FER = 0.34218750 * 10240; time = 0.0532s; samplesPerSecond = 192546.4
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.06345215 * 10240; FER = 0.34082031 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.05406494 * 10240; FER = 0.33750000 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.07280273 * 10240; FER = 0.34970703 * 10240; time = 0.0536s; samplesPerSecond = 191162.5
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.06041260 * 10240; FER = 0.34912109 * 10240; time = 0.0534s; samplesPerSecond = 191609.6
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.05802002 * 10240; FER = 0.34628906 * 10240; time = 0.0531s; samplesPerSecond = 192745.7
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.05512695 * 10240; FER = 0.33740234 * 10240; time = 0.0531s; samplesPerSecond = 192909.1
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.06593018 * 10240; FER = 0.34492187 * 10240; time = 0.0533s; samplesPerSecond = 192217.4
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.05753174 * 10240; FER = 0.34121094 * 10240; time = 0.0531s; samplesPerSecond = 192956.3
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.06166992 * 10240; FER = 0.34716797 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:37:40:  Epoch[14 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.05322266 * 10240; FER = 0.34248047 * 10240; time = 0.0533s; samplesPerSecond = 192080.4
08/16/2016 10:37:41:  Epoch[14 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.05432129 * 10240; FER = 0.33798828 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:41:  Epoch[14 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.06353760 * 10240; FER = 0.34980469 * 10240; time = 0.0531s; samplesPerSecond = 193014.5
08/16/2016 10:37:41:  Epoch[14 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.05513916 * 10240; FER = 0.34160156 * 10240; time = 0.0532s; samplesPerSecond = 192448.6
08/16/2016 10:37:41:  Epoch[14 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.05103760 * 10240; FER = 0.34003906 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:37:41:  Epoch[14 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.04907227 * 10240; FER = 0.34130859 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:37:41: Finished Epoch[14 of 25]: [Training] CE.SM = 1.05055418 * 1124823; FER = 0.34046423 * 1124823; totalSamplesSeen = 15747522; learningRatePerSample = 0.003125; epochTime=6.0285s
08/16/2016 10:37:41: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.14'

08/16/2016 10:37:41: 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

08/16/2016 10:37:41: Starting minibatch loop.
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.02166405 * 10240; FER = 0.33437500 * 10240; time = 0.0567s; samplesPerSecond = 180631.5
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.03014660 * 10240; FER = 0.33388672 * 10240; time = 0.0535s; samplesPerSecond = 191466.3
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.02536335 * 10240; FER = 0.33300781 * 10240; time = 0.0532s; samplesPerSecond = 192474.0
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.02008667 * 10240; FER = 0.33408203 * 10240; time = 0.0536s; samplesPerSecond = 190980.6
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.03787689 * 10240; FER = 0.33564453 * 10240; time = 0.0534s; samplesPerSecond = 191925.6
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.01883469 * 10240; FER = 0.33134766 * 10240; time = 0.0533s; samplesPerSecond = 191943.6
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.01115074 * 10240; FER = 0.33310547 * 10240; time = 0.0530s; samplesPerSecond = 193058.2
08/16/2016 10:37:41:  Epoch[15 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 1.02399063 * 10240; FER = 0.32871094 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 1.01061630 * 10240; FER = 0.32978516 * 10240; time = 0.0533s; samplesPerSecond = 192264.4
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.99797974 * 10240; FER = 0.32607422 * 10240; time = 0.0533s; samplesPerSecond = 192264.4
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 1.02632980 * 10240; FER = 0.33320312 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 1.01135406 * 10240; FER = 0.32802734 * 10240; time = 0.0532s; samplesPerSecond = 192347.4
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 1.02864151 * 10240; FER = 0.32968750 * 10240; time = 0.0534s; samplesPerSecond = 191627.5
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 1.01685944 * 10240; FER = 0.32978516 * 10240; time = 0.0530s; samplesPerSecond = 193247.7
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 1.02166290 * 10240; FER = 0.33408203 * 10240; time = 0.0532s; samplesPerSecond = 192383.6
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.99229126 * 10240; FER = 0.32324219 * 10240; time = 0.0533s; samplesPerSecond = 192123.7
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 1.02084045 * 10240; FER = 0.33095703 * 10240; time = 0.0531s; samplesPerSecond = 192945.4
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 1.02034607 * 10240; FER = 0.33242187 * 10240; time = 0.0529s; samplesPerSecond = 193594.7
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 1.03084412 * 10240; FER = 0.33359375 * 10240; time = 0.0533s; samplesPerSecond = 192098.5
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 1.03858490 * 10240; FER = 0.33789062 * 10240; time = 0.0533s; samplesPerSecond = 191965.2
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 1.03097839 * 10240; FER = 0.33818359 * 10240; time = 0.0530s; samplesPerSecond = 193145.6
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 1.03859558 * 10240; FER = 0.33388672 * 10240; time = 0.0531s; samplesPerSecond = 192756.6
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 1.02813568 * 10240; FER = 0.33525391 * 10240; time = 0.0532s; samplesPerSecond = 192586.2
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 1.02897339 * 10240; FER = 0.33710937 * 10240; time = 0.0533s; samplesPerSecond = 192069.6
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 1.02572632 * 10240; FER = 0.33359375 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 1.01657104 * 10240; FER = 0.33378906 * 10240; time = 0.0532s; samplesPerSecond = 192553.6
08/16/2016 10:37:42:  Epoch[15 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 1.02738342 * 10240; FER = 0.33339844 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 1.02023010 * 10240; FER = 0.32763672 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 1.01856384 * 10240; FER = 0.32812500 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 1.02328186 * 10240; FER = 0.32597656 * 10240; time = 0.0533s; samplesPerSecond = 191954.4
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 1.04787903 * 10240; FER = 0.33964844 * 10240; time = 0.0532s; samplesPerSecond = 192474.0
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 1.03109436 * 10240; FER = 0.33300781 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 1.01570435 * 10240; FER = 0.32988281 * 10240; time = 0.0532s; samplesPerSecond = 192358.3
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 1.02151794 * 10240; FER = 0.34140625 * 10240; time = 0.0533s; samplesPerSecond = 192098.5
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 1.02096252 * 10240; FER = 0.33212891 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 1.05504761 * 10240; FER = 0.34306641 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 1.03327026 * 10240; FER = 0.33486328 * 10240; time = 0.0534s; samplesPerSecond = 191598.8
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 1.02664185 * 10240; FER = 0.33564453 * 10240; time = 0.0533s; samplesPerSecond = 192051.6
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 1.02227173 * 10240; FER = 0.33271484 * 10240; time = 0.0534s; samplesPerSecond = 191710.0
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 1.01260986 * 10240; FER = 0.32285156 * 10240; time = 0.0531s; samplesPerSecond = 192745.7
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 1.02438965 * 10240; FER = 0.33457031 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 1.05767212 * 10240; FER = 0.34316406 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 1.02869568 * 10240; FER = 0.32783203 * 10240; time = 0.0532s; samplesPerSecond = 192502.9
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 1.02745972 * 10240; FER = 0.33945313 * 10240; time = 0.0535s; samplesPerSecond = 191305.3
08/16/2016 10:37:43:  Epoch[15 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 1.04089355 * 10240; FER = 0.33857422 * 10240; time = 0.0536s; samplesPerSecond = 190916.5
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 1.01927185 * 10240; FER = 0.33378906 * 10240; time = 0.0532s; samplesPerSecond = 192557.2
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 1.04615479 * 10240; FER = 0.34082031 * 10240; time = 0.0532s; samplesPerSecond = 192434.2
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 1.03477173 * 10240; FER = 0.33837891 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 1.03320312 * 10240; FER = 0.33623047 * 10240; time = 0.0534s; samplesPerSecond = 191807.0
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 1.02844849 * 10240; FER = 0.33515625 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 1.02617187 * 10240; FER = 0.33759766 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 1.04281616 * 10240; FER = 0.33857422 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.98157959 * 10240; FER = 0.32353516 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 1.03464355 * 10240; FER = 0.33066406 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 1.01070557 * 10240; FER = 0.32626953 * 10240; time = 0.0531s; samplesPerSecond = 192734.8
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 1.03219604 * 10240; FER = 0.33535156 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 1.00665283 * 10240; FER = 0.32978516 * 10240; time = 0.0539s; samplesPerSecond = 190030.8
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 1.04819336 * 10240; FER = 0.33769531 * 10240; time = 0.0537s; samplesPerSecond = 190547.1
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 1.06329346 * 10240; FER = 0.34560547 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 1.01711426 * 10240; FER = 0.33320312 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 1.03425903 * 10240; FER = 0.33486328 * 10240; time = 0.0533s; samplesPerSecond = 192271.6
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 1.03906250 * 10240; FER = 0.33457031 * 10240; time = 0.0534s; samplesPerSecond = 191634.7
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 1.04783936 * 10240; FER = 0.33857422 * 10240; time = 0.0533s; samplesPerSecond = 192051.6
08/16/2016 10:37:44:  Epoch[15 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 1.04066772 * 10240; FER = 0.33535156 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 1.04080811 * 10240; FER = 0.34287109 * 10240; time = 0.0533s; samplesPerSecond = 192166.9
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 1.03536987 * 10240; FER = 0.33496094 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 1.02609863 * 10240; FER = 0.33476563 * 10240; time = 0.0535s; samplesPerSecond = 191530.7
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 1.04939575 * 10240; FER = 0.33828125 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 1.01986084 * 10240; FER = 0.33134766 * 10240; time = 0.0533s; samplesPerSecond = 192174.2
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 1.03980103 * 10240; FER = 0.33466797 * 10240; time = 0.0531s; samplesPerSecond = 192865.5
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 1.03923950 * 10240; FER = 0.33662109 * 10240; time = 0.0531s; samplesPerSecond = 192709.4
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 1.04106445 * 10240; FER = 0.33564453 * 10240; time = 0.0533s; samplesPerSecond = 192102.1
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 1.01826172 * 10240; FER = 0.33046875 * 10240; time = 0.0530s; samplesPerSecond = 193127.4
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 1.04118042 * 10240; FER = 0.34023437 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 1.08069458 * 10240; FER = 0.34091797 * 10240; time = 0.0531s; samplesPerSecond = 192709.4
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 1.02750854 * 10240; FER = 0.33300781 * 10240; time = 0.0540s; samplesPerSecond = 189605.1
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 1.04281006 * 10240; FER = 0.33408203 * 10240; time = 0.0532s; samplesPerSecond = 192513.8
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 1.02572021 * 10240; FER = 0.33896484 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 1.01068726 * 10240; FER = 0.33085938 * 10240; time = 0.0530s; samplesPerSecond = 193254.9
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 1.04110107 * 10240; FER = 0.33320312 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 1.05532837 * 10240; FER = 0.34140625 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 1.03201904 * 10240; FER = 0.33242187 * 10240; time = 0.0532s; samplesPerSecond = 192535.5
08/16/2016 10:37:45:  Epoch[15 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 1.03053589 * 10240; FER = 0.33740234 * 10240; time = 0.0533s; samplesPerSecond = 192040.8
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 1.04436035 * 10240; FER = 0.34355469 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 1.02190552 * 10240; FER = 0.33232422 * 10240; time = 0.0533s; samplesPerSecond = 192185.0
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 1.05814819 * 10240; FER = 0.33945313 * 10240; time = 0.0533s; samplesPerSecond = 192004.8
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 1.03206177 * 10240; FER = 0.33945313 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 1.00296021 * 10240; FER = 0.32832031 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 1.02676392 * 10240; FER = 0.33457031 * 10240; time = 0.0529s; samplesPerSecond = 193675.3
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 1.04070435 * 10240; FER = 0.33974609 * 10240; time = 0.0531s; samplesPerSecond = 192821.9
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 1.02982788 * 10240; FER = 0.33359375 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 1.00496216 * 10240; FER = 0.33271484 * 10240; time = 0.0531s; samplesPerSecond = 192705.8
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 1.05767212 * 10240; FER = 0.33574219 * 10240; time = 0.0530s; samplesPerSecond = 193178.4
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 1.05523071 * 10240; FER = 0.33964844 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 1.02662964 * 10240; FER = 0.33544922 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 1.02655029 * 10240; FER = 0.32949219 * 10240; time = 0.0533s; samplesPerSecond = 192112.9
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 1.03937378 * 10240; FER = 0.33583984 * 10240; time = 0.0530s; samplesPerSecond = 193189.3
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 1.04741821 * 10240; FER = 0.34023437 * 10240; time = 0.0530s; samplesPerSecond = 193386.3
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 1.01809082 * 10240; FER = 0.33007812 * 10240; time = 0.0531s; samplesPerSecond = 192912.7
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 1.01436768 * 10240; FER = 0.32949219 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 1.03645020 * 10240; FER = 0.33642578 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:37:46:  Epoch[15 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 1.03386230 * 10240; FER = 0.33154297 * 10240; time = 0.0531s; samplesPerSecond = 192883.6
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 1.01511230 * 10240; FER = 0.33408203 * 10240; time = 0.0530s; samplesPerSecond = 193065.5
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 1.02941895 * 10240; FER = 0.34492187 * 10240; time = 0.0532s; samplesPerSecond = 192387.2
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 1.04362793 * 10240; FER = 0.33476563 * 10240; time = 0.0529s; samplesPerSecond = 193525.2
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 1.02979736 * 10240; FER = 0.33671875 * 10240; time = 0.0530s; samplesPerSecond = 193320.6
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 1.02055664 * 10240; FER = 0.33046875 * 10240; time = 0.0533s; samplesPerSecond = 192177.8
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 1.04802246 * 10240; FER = 0.33593750 * 10240; time = 0.0529s; samplesPerSecond = 193675.3
08/16/2016 10:37:47:  Epoch[15 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 1.05307617 * 10240; FER = 0.34521484 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:37:47: Finished Epoch[15 of 25]: [Training] CE.SM = 1.03008529 * 1124823; FER = 0.33459842 * 1124823; totalSamplesSeen = 16872345; learningRatePerSample = 0.003125; epochTime=6.03491s
08/16/2016 10:37:47: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.15'

08/16/2016 10:37:47: 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

08/16/2016 10:37:47: Starting minibatch loop.
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 1.10788298 * 10240; FER = 0.35820313 * 10240; time = 0.0559s; samplesPerSecond = 183027.1
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 1.21220865 * 10240; FER = 0.38388672 * 10240; time = 0.0531s; samplesPerSecond = 192774.7
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 1.17399635 * 10240; FER = 0.37841797 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 1.06089973 * 10240; FER = 0.34804687 * 10240; time = 0.0531s; samplesPerSecond = 193021.8
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 1.03216972 * 10240; FER = 0.33671875 * 10240; time = 0.0532s; samplesPerSecond = 192398.0
08/16/2016 10:37:47:  Epoch[16 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 1.03607025 * 10240; FER = 0.33251953 * 10240; time = 0.0531s; samplesPerSecond = 193007.3
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 1.02323151 * 10240; FER = 0.32812500 * 10240; time = 0.0531s; samplesPerSecond = 192912.7
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.98535309 * 10240; FER = 0.31806641 * 10240; time = 0.0530s; samplesPerSecond = 193061.8
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.99483109 * 10240; FER = 0.32861328 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.97119141 * 10240; FER = 0.31533203 * 10240; time = 0.0533s; samplesPerSecond = 192026.4
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.96792679 * 10240; FER = 0.31083984 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.95934067 * 10240; FER = 0.31445312 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.96003265 * 10240; FER = 0.31201172 * 10240; time = 0.0532s; samplesPerSecond = 192408.9
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.98420410 * 10240; FER = 0.32187500 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.98053589 * 10240; FER = 0.31582031 * 10240; time = 0.0531s; samplesPerSecond = 192890.9
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.94773102 * 10240; FER = 0.30498047 * 10240; time = 0.0530s; samplesPerSecond = 193193.0
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.95779572 * 10240; FER = 0.30996094 * 10240; time = 0.0534s; samplesPerSecond = 191900.5
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.94507904 * 10240; FER = 0.30869141 * 10240; time = 0.0532s; samplesPerSecond = 192575.3
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.97113342 * 10240; FER = 0.31855469 * 10240; time = 0.0533s; samplesPerSecond = 191965.2
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.96767426 * 10240; FER = 0.31357422 * 10240; time = 0.0533s; samplesPerSecond = 192231.9
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.96600800 * 10240; FER = 0.30937500 * 10240; time = 0.0534s; samplesPerSecond = 191731.6
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.95346069 * 10240; FER = 0.31367187 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.95181732 * 10240; FER = 0.31113281 * 10240; time = 0.0531s; samplesPerSecond = 192985.4
08/16/2016 10:37:48:  Epoch[16 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.97100220 * 10240; FER = 0.30810547 * 10240; time = 0.0534s; samplesPerSecond = 191753.1
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.97218323 * 10240; FER = 0.31074219 * 10240; time = 0.0532s; samplesPerSecond = 192361.9
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.94267883 * 10240; FER = 0.31093750 * 10240; time = 0.0532s; samplesPerSecond = 192557.2
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.95005188 * 10240; FER = 0.31123047 * 10240; time = 0.0529s; samplesPerSecond = 193627.7
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.95174255 * 10240; FER = 0.30478516 * 10240; time = 0.0532s; samplesPerSecond = 192322.1
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.95937805 * 10240; FER = 0.30771484 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.97189331 * 10240; FER = 0.31328125 * 10240; time = 0.0534s; samplesPerSecond = 191659.8
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.95322571 * 10240; FER = 0.30644531 * 10240; time = 0.0530s; samplesPerSecond = 193386.3
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.93320618 * 10240; FER = 0.30263672 * 10240; time = 0.0531s; samplesPerSecond = 193003.6
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.95505981 * 10240; FER = 0.31328125 * 10240; time = 0.0531s; samplesPerSecond = 192702.2
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.93914795 * 10240; FER = 0.30644531 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.96866455 * 10240; FER = 0.30976562 * 10240; time = 0.0534s; samplesPerSecond = 191609.6
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.95774536 * 10240; FER = 0.30722656 * 10240; time = 0.0539s; samplesPerSecond = 190119.0
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.93591919 * 10240; FER = 0.30302734 * 10240; time = 0.0537s; samplesPerSecond = 190625.1
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.94602661 * 10240; FER = 0.30986328 * 10240; time = 0.0535s; samplesPerSecond = 191466.3
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.95856018 * 10240; FER = 0.31162109 * 10240; time = 0.0537s; samplesPerSecond = 190799.2
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.94553833 * 10240; FER = 0.30683594 * 10240; time = 0.0535s; samplesPerSecond = 191348.2
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.94800720 * 10240; FER = 0.30039063 * 10240; time = 0.0536s; samplesPerSecond = 190987.8
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.95561218 * 10240; FER = 0.31103516 * 10240; time = 0.0536s; samplesPerSecond = 191183.9
08/16/2016 10:37:49:  Epoch[16 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.94785156 * 10240; FER = 0.30810547 * 10240; time = 0.0535s; samplesPerSecond = 191233.9
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.94234924 * 10240; FER = 0.31015625 * 10240; time = 0.0536s; samplesPerSecond = 191101.8
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.95883484 * 10240; FER = 0.31220703 * 10240; time = 0.0534s; samplesPerSecond = 191749.5
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.94165955 * 10240; FER = 0.31074219 * 10240; time = 0.0531s; samplesPerSecond = 192709.4
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.93178711 * 10240; FER = 0.30507812 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.97651978 * 10240; FER = 0.32050781 * 10240; time = 0.0532s; samplesPerSecond = 192376.3
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.94079285 * 10240; FER = 0.30605469 * 10240; time = 0.0534s; samplesPerSecond = 191649.0
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.95044556 * 10240; FER = 0.31123047 * 10240; time = 0.0533s; samplesPerSecond = 192192.2
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.93533325 * 10240; FER = 0.30312500 * 10240; time = 0.0533s; samplesPerSecond = 192141.7
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.94722290 * 10240; FER = 0.31025391 * 10240; time = 0.0532s; samplesPerSecond = 192524.6
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.95191956 * 10240; FER = 0.31318359 * 10240; time = 0.0530s; samplesPerSecond = 193309.7
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.95340576 * 10240; FER = 0.31396484 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.93274536 * 10240; FER = 0.30009766 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.92670898 * 10240; FER = 0.29980469 * 10240; time = 0.0533s; samplesPerSecond = 191983.2
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.95016479 * 10240; FER = 0.30263672 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.93660889 * 10240; FER = 0.30253906 * 10240; time = 0.0532s; samplesPerSecond = 192354.7
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.92583618 * 10240; FER = 0.29980469 * 10240; time = 0.0531s; samplesPerSecond = 192669.5
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.92910767 * 10240; FER = 0.30195312 * 10240; time = 0.0533s; samplesPerSecond = 192055.2
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.93995361 * 10240; FER = 0.30410156 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:37:50:  Epoch[16 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.92484131 * 10240; FER = 0.30185547 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.94163818 * 10240; FER = 0.30576172 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.93538818 * 10240; FER = 0.30478516 * 10240; time = 0.0532s; samplesPerSecond = 192387.2
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.91894531 * 10240; FER = 0.30517578 * 10240; time = 0.0533s; samplesPerSecond = 192073.2
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.94347534 * 10240; FER = 0.30078125 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91915283 * 10240; FER = 0.30078125 * 10240; time = 0.0534s; samplesPerSecond = 191828.6
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.92097778 * 10240; FER = 0.29511719 * 10240; time = 0.0532s; samplesPerSecond = 192336.6
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.93513184 * 10240; FER = 0.30214844 * 10240; time = 0.0532s; samplesPerSecond = 192499.3
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.92915039 * 10240; FER = 0.30166016 * 10240; time = 0.0534s; samplesPerSecond = 191925.6
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.94605713 * 10240; FER = 0.30683594 * 10240; time = 0.0532s; samplesPerSecond = 192557.2
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.91953125 * 10240; FER = 0.29794922 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.93253784 * 10240; FER = 0.30546875 * 10240; time = 0.0533s; samplesPerSecond = 191965.2
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.95284424 * 10240; FER = 0.30400391 * 10240; time = 0.0535s; samplesPerSecond = 191441.2
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.91059570 * 10240; FER = 0.29462891 * 10240; time = 0.0532s; samplesPerSecond = 192354.7
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.93757935 * 10240; FER = 0.31152344 * 10240; time = 0.0530s; samplesPerSecond = 193116.5
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.94398193 * 10240; FER = 0.30693359 * 10240; time = 0.0533s; samplesPerSecond = 192120.1
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.93029175 * 10240; FER = 0.30576172 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.94020386 * 10240; FER = 0.30507812 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.93752441 * 10240; FER = 0.30292969 * 10240; time = 0.0531s; samplesPerSecond = 192774.7
08/16/2016 10:37:51:  Epoch[16 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.92190552 * 10240; FER = 0.30107422 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.93065186 * 10240; FER = 0.30097656 * 10240; time = 0.0533s; samplesPerSecond = 191947.2
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.92661133 * 10240; FER = 0.30468750 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.92576294 * 10240; FER = 0.29755859 * 10240; time = 0.0533s; samplesPerSecond = 192112.9
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.94301147 * 10240; FER = 0.30517578 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.92312622 * 10240; FER = 0.29697266 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.91079712 * 10240; FER = 0.29775391 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.91677246 * 10240; FER = 0.29648438 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.92477417 * 10240; FER = 0.29570313 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.92121582 * 10240; FER = 0.30058594 * 10240; time = 0.0535s; samplesPerSecond = 191523.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.93716431 * 10240; FER = 0.30400391 * 10240; time = 0.0532s; samplesPerSecond = 192499.3
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.93773804 * 10240; FER = 0.30800781 * 10240; time = 0.0533s; samplesPerSecond = 191968.8
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.93719482 * 10240; FER = 0.30644531 * 10240; time = 0.0531s; samplesPerSecond = 192963.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.93144531 * 10240; FER = 0.30351563 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.93779907 * 10240; FER = 0.31015625 * 10240; time = 0.0533s; samplesPerSecond = 192181.4
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.92385254 * 10240; FER = 0.29658203 * 10240; time = 0.0530s; samplesPerSecond = 193182.0
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.95039673 * 10240; FER = 0.31484375 * 10240; time = 0.0532s; samplesPerSecond = 192314.9
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.92205811 * 10240; FER = 0.29814453 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:52:  Epoch[16 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.94057617 * 10240; FER = 0.30205078 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.92571411 * 10240; FER = 0.30058594 * 10240; time = 0.0531s; samplesPerSecond = 192989.1
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.93157959 * 10240; FER = 0.30283203 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.93969727 * 10240; FER = 0.30537109 * 10240; time = 0.0533s; samplesPerSecond = 192282.4
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.93085938 * 10240; FER = 0.30107422 * 10240; time = 0.0532s; samplesPerSecond = 192510.2
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.93098145 * 10240; FER = 0.30371094 * 10240; time = 0.0530s; samplesPerSecond = 193043.6
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.93408203 * 10240; FER = 0.29775391 * 10240; time = 0.0533s; samplesPerSecond = 192159.7
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.92510986 * 10240; FER = 0.29970703 * 10240; time = 0.0531s; samplesPerSecond = 192956.3
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.93363037 * 10240; FER = 0.30146484 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.93349609 * 10240; FER = 0.29687500 * 10240; time = 0.0531s; samplesPerSecond = 192945.4
08/16/2016 10:37:53:  Epoch[16 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.91707764 * 10240; FER = 0.29716797 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:37:53: Finished Epoch[16 of 25]: [Training] CE.SM = 0.95246630 * 1124823; FER = 0.30906285 * 1124823; totalSamplesSeen = 17997168; learningRatePerSample = 7.8124998e-05; epochTime=6.04096s
08/16/2016 10:37:53: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.16'

08/16/2016 10:37:53: 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

08/16/2016 10:37:53: Starting minibatch loop.
08/16/2016 10:37:53:  Epoch[17 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.93092985 * 10240; FER = 0.30175781 * 10240; time = 0.0562s; samplesPerSecond = 182135.1
08/16/2016 10:37:53:  Epoch[17 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.92699518 * 10240; FER = 0.29824219 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:37:53:  Epoch[17 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.93873138 * 10240; FER = 0.30371094 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.93830376 * 10240; FER = 0.30966797 * 10240; time = 0.0531s; samplesPerSecond = 192989.1
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.94893723 * 10240; FER = 0.31269531 * 10240; time = 0.0533s; samplesPerSecond = 192062.4
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.92851410 * 10240; FER = 0.30585937 * 10240; time = 0.0534s; samplesPerSecond = 191659.8
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.93768539 * 10240; FER = 0.30429688 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.92854996 * 10240; FER = 0.30156250 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.93072433 * 10240; FER = 0.30097656 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.91423035 * 10240; FER = 0.30126953 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.93585129 * 10240; FER = 0.30283203 * 10240; time = 0.0534s; samplesPerSecond = 191918.4
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.92126541 * 10240; FER = 0.29531250 * 10240; time = 0.0534s; samplesPerSecond = 191631.1
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.93943253 * 10240; FER = 0.29804687 * 10240; time = 0.0533s; samplesPerSecond = 191961.6
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.91072083 * 10240; FER = 0.30039063 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.95918427 * 10240; FER = 0.30703125 * 10240; time = 0.0535s; samplesPerSecond = 191251.7
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.93015594 * 10240; FER = 0.30000000 * 10240; time = 0.0535s; samplesPerSecond = 191330.3
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.91178436 * 10240; FER = 0.29648438 * 10240; time = 0.0535s; samplesPerSecond = 191441.2
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.94128723 * 10240; FER = 0.30615234 * 10240; time = 0.0535s; samplesPerSecond = 191323.2
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.91768036 * 10240; FER = 0.29824219 * 10240; time = 0.0536s; samplesPerSecond = 191048.3
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.92996674 * 10240; FER = 0.30498047 * 10240; time = 0.0538s; samplesPerSecond = 190370.0
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.93199615 * 10240; FER = 0.30419922 * 10240; time = 0.0536s; samplesPerSecond = 190980.6
08/16/2016 10:37:54:  Epoch[17 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.91962128 * 10240; FER = 0.29326172 * 10240; time = 0.0535s; samplesPerSecond = 191448.4
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.94503784 * 10240; FER = 0.30488281 * 10240; time = 0.0534s; samplesPerSecond = 191807.0
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.93749695 * 10240; FER = 0.30107422 * 10240; time = 0.0535s; samplesPerSecond = 191534.3
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.91872864 * 10240; FER = 0.30068359 * 10240; time = 0.0536s; samplesPerSecond = 190977.1
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.92568665 * 10240; FER = 0.30214844 * 10240; time = 0.0534s; samplesPerSecond = 191828.6
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.92424774 * 10240; FER = 0.30361328 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.93789978 * 10240; FER = 0.30000000 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.93946228 * 10240; FER = 0.30126953 * 10240; time = 0.0531s; samplesPerSecond = 192669.5
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.91975098 * 10240; FER = 0.29462891 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.92947083 * 10240; FER = 0.30195312 * 10240; time = 0.0530s; samplesPerSecond = 193265.9
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.91145935 * 10240; FER = 0.29179688 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.93295288 * 10240; FER = 0.30253906 * 10240; time = 0.0534s; samplesPerSecond = 191914.8
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.91645203 * 10240; FER = 0.29921875 * 10240; time = 0.0537s; samplesPerSecond = 190845.4
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.93082275 * 10240; FER = 0.29746094 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.91131592 * 10240; FER = 0.29736328 * 10240; time = 0.0534s; samplesPerSecond = 191688.5
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.91519165 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.92629700 * 10240; FER = 0.29931641 * 10240; time = 0.0533s; samplesPerSecond = 192159.7
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.93200073 * 10240; FER = 0.30302734 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91753540 * 10240; FER = 0.29853516 * 10240; time = 0.0530s; samplesPerSecond = 193236.7
08/16/2016 10:37:55:  Epoch[17 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.92065430 * 10240; FER = 0.29843750 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.91697083 * 10240; FER = 0.29716797 * 10240; time = 0.0531s; samplesPerSecond = 192992.7
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.93003540 * 10240; FER = 0.30380859 * 10240; time = 0.0538s; samplesPerSecond = 190285.1
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.91411438 * 10240; FER = 0.29531250 * 10240; time = 0.0533s; samplesPerSecond = 192231.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.92816772 * 10240; FER = 0.30146484 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.93800354 * 10240; FER = 0.30390625 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.91971436 * 10240; FER = 0.29267578 * 10240; time = 0.0532s; samplesPerSecond = 192626.0
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90719299 * 10240; FER = 0.29062500 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.91841431 * 10240; FER = 0.29785156 * 10240; time = 0.0532s; samplesPerSecond = 192408.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.90526428 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192557.2
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.91871948 * 10240; FER = 0.29990234 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.92014771 * 10240; FER = 0.30234375 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.92938232 * 10240; FER = 0.29921875 * 10240; time = 0.0535s; samplesPerSecond = 191473.4
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.92187805 * 10240; FER = 0.30234375 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.93414917 * 10240; FER = 0.30615234 * 10240; time = 0.0532s; samplesPerSecond = 192539.1
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.93020325 * 10240; FER = 0.29941406 * 10240; time = 0.0534s; samplesPerSecond = 191893.3
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.91744995 * 10240; FER = 0.29892578 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.90848999 * 10240; FER = 0.29941406 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.93217163 * 10240; FER = 0.30214844 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:37:56:  Epoch[17 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.91328125 * 10240; FER = 0.29580078 * 10240; time = 0.0532s; samplesPerSecond = 192575.3
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.93200684 * 10240; FER = 0.29785156 * 10240; time = 0.0532s; samplesPerSecond = 192372.7
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.92241821 * 10240; FER = 0.29863281 * 10240; time = 0.0531s; samplesPerSecond = 192996.3
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.90375366 * 10240; FER = 0.28818359 * 10240; time = 0.0531s; samplesPerSecond = 192909.1
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.93013916 * 10240; FER = 0.30615234 * 10240; time = 0.0534s; samplesPerSecond = 191814.2
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.94968872 * 10240; FER = 0.30312500 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.92109375 * 10240; FER = 0.30068359 * 10240; time = 0.0531s; samplesPerSecond = 192923.6
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91878662 * 10240; FER = 0.29648438 * 10240; time = 0.0532s; samplesPerSecond = 192539.1
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91150513 * 10240; FER = 0.29580078 * 10240; time = 0.0532s; samplesPerSecond = 192611.5
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.92253418 * 10240; FER = 0.30175781 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.93110352 * 10240; FER = 0.29794922 * 10240; time = 0.0530s; samplesPerSecond = 193357.1
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.92415161 * 10240; FER = 0.30000000 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.89631348 * 10240; FER = 0.29072266 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.92888794 * 10240; FER = 0.30000000 * 10240; time = 0.0533s; samplesPerSecond = 192275.2
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.89967651 * 10240; FER = 0.28955078 * 10240; time = 0.0529s; samplesPerSecond = 193437.5
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.90999756 * 10240; FER = 0.29580078 * 10240; time = 0.0532s; samplesPerSecond = 192314.9
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.91337280 * 10240; FER = 0.29804687 * 10240; time = 0.0532s; samplesPerSecond = 192398.0
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.93720703 * 10240; FER = 0.30273438 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:37:57:  Epoch[17 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.92437744 * 10240; FER = 0.29853516 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.92029419 * 10240; FER = 0.30087891 * 10240; time = 0.0531s; samplesPerSecond = 192778.3
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.90339355 * 10240; FER = 0.29375000 * 10240; time = 0.0533s; samplesPerSecond = 191958.0
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.92683105 * 10240; FER = 0.29912109 * 10240; time = 0.0533s; samplesPerSecond = 192076.8
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.93120117 * 10240; FER = 0.30126953 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.91017456 * 10240; FER = 0.29785156 * 10240; time = 0.0530s; samplesPerSecond = 193076.4
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.91979370 * 10240; FER = 0.29599609 * 10240; time = 0.0532s; samplesPerSecond = 192376.3
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.93023071 * 10240; FER = 0.30146484 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.93911743 * 10240; FER = 0.30527344 * 10240; time = 0.0530s; samplesPerSecond = 193040.0
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.94948730 * 10240; FER = 0.30849609 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.92384033 * 10240; FER = 0.29687500 * 10240; time = 0.0533s; samplesPerSecond = 192228.3
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.91314697 * 10240; FER = 0.30136719 * 10240; time = 0.0530s; samplesPerSecond = 193116.5
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.93201904 * 10240; FER = 0.30312500 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.92474976 * 10240; FER = 0.30185547 * 10240; time = 0.0532s; samplesPerSecond = 192477.6
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.93181152 * 10240; FER = 0.29863281 * 10240; time = 0.0532s; samplesPerSecond = 192477.6
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.91148071 * 10240; FER = 0.29531250 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.94452515 * 10240; FER = 0.30244141 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.93889771 * 10240; FER = 0.30458984 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.92302246 * 10240; FER = 0.30712891 * 10240; time = 0.0534s; samplesPerSecond = 191871.7
08/16/2016 10:37:58:  Epoch[17 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.92055664 * 10240; FER = 0.30195312 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.90216675 * 10240; FER = 0.29462891 * 10240; time = 0.0530s; samplesPerSecond = 193080.0
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.93339844 * 10240; FER = 0.30654297 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.91282349 * 10240; FER = 0.30029297 * 10240; time = 0.0530s; samplesPerSecond = 193295.1
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.92637939 * 10240; FER = 0.29833984 * 10240; time = 0.0532s; samplesPerSecond = 192524.6
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.93002319 * 10240; FER = 0.29814453 * 10240; time = 0.0530s; samplesPerSecond = 193379.0
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.90924072 * 10240; FER = 0.29863281 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91347046 * 10240; FER = 0.29970703 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.94617310 * 10240; FER = 0.30615234 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.92283936 * 10240; FER = 0.29941406 * 10240; time = 0.0531s; samplesPerSecond = 192821.9
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.91646118 * 10240; FER = 0.29814453 * 10240; time = 0.0532s; samplesPerSecond = 192517.4
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.92644043 * 10240; FER = 0.30439453 * 10240; time = 0.0536s; samplesPerSecond = 191141.1
08/16/2016 10:37:59:  Epoch[17 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.93549805 * 10240; FER = 0.30136719 * 10240; time = 0.0539s; samplesPerSecond = 190097.8
08/16/2016 10:37:59: Finished Epoch[17 of 25]: [Training] CE.SM = 0.92478278 * 1124823; FER = 0.30003921 * 1124823; totalSamplesSeen = 19121991; learningRatePerSample = 7.8124998e-05; epochTime=6.04092s
08/16/2016 10:37:59: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.17'

08/16/2016 10:37:59: 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

08/16/2016 10:37:59: Starting minibatch loop.
08/16/2016 10:37:59:  Epoch[18 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.92451305 * 10240; FER = 0.29882812 * 10240; time = 0.0563s; samplesPerSecond = 181834.3
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.91163044 * 10240; FER = 0.29677734 * 10240; time = 0.0534s; samplesPerSecond = 191588.1
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.91445332 * 10240; FER = 0.29863281 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.92431507 * 10240; FER = 0.30195312 * 10240; time = 0.0531s; samplesPerSecond = 192662.3
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.92212601 * 10240; FER = 0.30000000 * 10240; time = 0.0531s; samplesPerSecond = 192680.4
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.88813782 * 10240; FER = 0.29658203 * 10240; time = 0.0530s; samplesPerSecond = 193156.5
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.91285934 * 10240; FER = 0.29707031 * 10240; time = 0.0530s; samplesPerSecond = 193043.6
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.91615410 * 10240; FER = 0.29238281 * 10240; time = 0.0529s; samplesPerSecond = 193689.9
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.92483215 * 10240; FER = 0.29511719 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.93152618 * 10240; FER = 0.29765625 * 10240; time = 0.0529s; samplesPerSecond = 193474.0
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.95136871 * 10240; FER = 0.30576172 * 10240; time = 0.0530s; samplesPerSecond = 193152.9
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.89204559 * 10240; FER = 0.29316406 * 10240; time = 0.0529s; samplesPerSecond = 193583.8
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.92068787 * 10240; FER = 0.30214844 * 10240; time = 0.0531s; samplesPerSecond = 192673.2
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.94052582 * 10240; FER = 0.30517578 * 10240; time = 0.0537s; samplesPerSecond = 190650.0
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.91376801 * 10240; FER = 0.29882812 * 10240; time = 0.0529s; samplesPerSecond = 193503.3
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.90140076 * 10240; FER = 0.29091797 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.91578827 * 10240; FER = 0.30390625 * 10240; time = 0.0529s; samplesPerSecond = 193525.2
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.90880127 * 10240; FER = 0.29238281 * 10240; time = 0.0531s; samplesPerSecond = 192771.1
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.93410950 * 10240; FER = 0.30136719 * 10240; time = 0.0530s; samplesPerSecond = 193054.6
08/16/2016 10:38:00:  Epoch[18 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.89134369 * 10240; FER = 0.29462891 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.90831146 * 10240; FER = 0.29589844 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.91578522 * 10240; FER = 0.29746094 * 10240; time = 0.0533s; samplesPerSecond = 192044.4
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.90808258 * 10240; FER = 0.29072266 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.90878754 * 10240; FER = 0.29492188 * 10240; time = 0.0534s; samplesPerSecond = 191846.5
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.94968262 * 10240; FER = 0.31132813 * 10240; time = 0.0529s; samplesPerSecond = 193514.2
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.91400757 * 10240; FER = 0.29658203 * 10240; time = 0.0529s; samplesPerSecond = 193441.1
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.93785858 * 10240; FER = 0.29921875 * 10240; time = 0.0529s; samplesPerSecond = 193496.0
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.92058563 * 10240; FER = 0.29453125 * 10240; time = 0.0533s; samplesPerSecond = 192210.2
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.92546387 * 10240; FER = 0.30000000 * 10240; time = 0.0534s; samplesPerSecond = 191728.0
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.91665039 * 10240; FER = 0.29921875 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.92199402 * 10240; FER = 0.29736328 * 10240; time = 0.0534s; samplesPerSecond = 191900.5
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.92280579 * 10240; FER = 0.30058594 * 10240; time = 0.0538s; samplesPerSecond = 190285.1
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.92333374 * 10240; FER = 0.29619141 * 10240; time = 0.0534s; samplesPerSecond = 191645.5
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.92499695 * 10240; FER = 0.29687500 * 10240; time = 0.0531s; samplesPerSecond = 192814.6
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.91643677 * 10240; FER = 0.30058594 * 10240; time = 0.0532s; samplesPerSecond = 192376.3
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.90520325 * 10240; FER = 0.29150391 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.92294617 * 10240; FER = 0.30136719 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.91385193 * 10240; FER = 0.29414062 * 10240; time = 0.0532s; samplesPerSecond = 192506.5
08/16/2016 10:38:01:  Epoch[18 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.92094727 * 10240; FER = 0.29365234 * 10240; time = 0.0530s; samplesPerSecond = 193149.2
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91273193 * 10240; FER = 0.29658203 * 10240; time = 0.0530s; samplesPerSecond = 193269.5
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91225281 * 10240; FER = 0.29746094 * 10240; time = 0.0530s; samplesPerSecond = 193138.3
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.91234131 * 10240; FER = 0.29609375 * 10240; time = 0.0533s; samplesPerSecond = 192098.5
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.94190979 * 10240; FER = 0.30605469 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.93537598 * 10240; FER = 0.30332031 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.93569946 * 10240; FER = 0.30693359 * 10240; time = 0.0530s; samplesPerSecond = 193193.0
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.91102295 * 10240; FER = 0.29560547 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.89831543 * 10240; FER = 0.29326172 * 10240; time = 0.0531s; samplesPerSecond = 192778.3
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90859070 * 10240; FER = 0.29453125 * 10240; time = 0.0533s; samplesPerSecond = 192253.5
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.92082214 * 10240; FER = 0.29912109 * 10240; time = 0.0532s; samplesPerSecond = 192441.4
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.91673279 * 10240; FER = 0.29599609 * 10240; time = 0.0534s; samplesPerSecond = 191609.6
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.92722778 * 10240; FER = 0.29931641 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.93438110 * 10240; FER = 0.30244141 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.91929321 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.91841125 * 10240; FER = 0.29570313 * 10240; time = 0.0533s; samplesPerSecond = 192185.0
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.93513489 * 10240; FER = 0.30664062 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.90957031 * 10240; FER = 0.29101562 * 10240; time = 0.0533s; samplesPerSecond = 192012.0
08/16/2016 10:38:02:  Epoch[18 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.91871948 * 10240; FER = 0.29453125 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.92763062 * 10240; FER = 0.29423828 * 10240; time = 0.0531s; samplesPerSecond = 192807.4
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.91973877 * 10240; FER = 0.29785156 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.93909912 * 10240; FER = 0.30244141 * 10240; time = 0.0531s; samplesPerSecond = 192669.5
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.90375977 * 10240; FER = 0.29677734 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.92369385 * 10240; FER = 0.29687500 * 10240; time = 0.0534s; samplesPerSecond = 191774.7
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.92113647 * 10240; FER = 0.29833984 * 10240; time = 0.0531s; samplesPerSecond = 192771.1
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.94213257 * 10240; FER = 0.30214844 * 10240; time = 0.0532s; samplesPerSecond = 192336.6
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.90589600 * 10240; FER = 0.29902344 * 10240; time = 0.0534s; samplesPerSecond = 191580.9
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.90670776 * 10240; FER = 0.29033203 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.92349854 * 10240; FER = 0.29541016 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.92244263 * 10240; FER = 0.29726562 * 10240; time = 0.0531s; samplesPerSecond = 193014.5
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.91947021 * 10240; FER = 0.29560547 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.92100220 * 10240; FER = 0.30214844 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.92136841 * 10240; FER = 0.30009766 * 10240; time = 0.0534s; samplesPerSecond = 191745.9
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.92915039 * 10240; FER = 0.29892578 * 10240; time = 0.0532s; samplesPerSecond = 192484.8
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.90933228 * 10240; FER = 0.30009766 * 10240; time = 0.0532s; samplesPerSecond = 192662.3
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.93309937 * 10240; FER = 0.29433594 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.93430176 * 10240; FER = 0.30234375 * 10240; time = 0.0531s; samplesPerSecond = 192756.6
08/16/2016 10:38:03:  Epoch[18 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.92999268 * 10240; FER = 0.30195312 * 10240; time = 0.0534s; samplesPerSecond = 191886.1
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.93861084 * 10240; FER = 0.31201172 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.88737183 * 10240; FER = 0.29150391 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.90993042 * 10240; FER = 0.29687500 * 10240; time = 0.0530s; samplesPerSecond = 193116.5
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.91229858 * 10240; FER = 0.29472656 * 10240; time = 0.0532s; samplesPerSecond = 192351.0
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.90746460 * 10240; FER = 0.29404297 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.91473389 * 10240; FER = 0.29912109 * 10240; time = 0.0533s; samplesPerSecond = 192073.2
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.92731323 * 10240; FER = 0.30146484 * 10240; time = 0.0529s; samplesPerSecond = 193528.9
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.92129517 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192474.0
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.91083984 * 10240; FER = 0.29931641 * 10240; time = 0.0529s; samplesPerSecond = 193620.4
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.94049683 * 10240; FER = 0.30175781 * 10240; time = 0.0530s; samplesPerSecond = 193112.8
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.88587036 * 10240; FER = 0.29013672 * 10240; time = 0.0534s; samplesPerSecond = 191738.8
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.91597290 * 10240; FER = 0.29306641 * 10240; time = 0.0539s; samplesPerSecond = 189840.6
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.90889282 * 10240; FER = 0.30117187 * 10240; time = 0.0538s; samplesPerSecond = 190253.2
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.88315430 * 10240; FER = 0.28613281 * 10240; time = 0.0534s; samplesPerSecond = 191936.4
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.91502075 * 10240; FER = 0.29980469 * 10240; time = 0.0533s; samplesPerSecond = 192015.6
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.91550903 * 10240; FER = 0.29453125 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.90144043 * 10240; FER = 0.29775391 * 10240; time = 0.0531s; samplesPerSecond = 192970.9
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.92037354 * 10240; FER = 0.29472656 * 10240; time = 0.0532s; samplesPerSecond = 192492.1
08/16/2016 10:38:04:  Epoch[18 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.93583984 * 10240; FER = 0.30156250 * 10240; time = 0.0531s; samplesPerSecond = 192800.1
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.93245850 * 10240; FER = 0.30263672 * 10240; time = 0.0530s; samplesPerSecond = 193280.5
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.90427246 * 10240; FER = 0.29462891 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.93291626 * 10240; FER = 0.30166016 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.92700806 * 10240; FER = 0.30000000 * 10240; time = 0.0531s; samplesPerSecond = 192705.8
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.93587646 * 10240; FER = 0.30136719 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.94255981 * 10240; FER = 0.30937500 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.92846069 * 10240; FER = 0.29921875 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.90578003 * 10240; FER = 0.29853516 * 10240; time = 0.0533s; samplesPerSecond = 192033.6
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.92175293 * 10240; FER = 0.29892578 * 10240; time = 0.0530s; samplesPerSecond = 193149.2
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.91659546 * 10240; FER = 0.29277344 * 10240; time = 0.0530s; samplesPerSecond = 193291.4
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.90958862 * 10240; FER = 0.29775391 * 10240; time = 0.0532s; samplesPerSecond = 192304.1
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.90620728 * 10240; FER = 0.29746094 * 10240; time = 0.0558s; samplesPerSecond = 183374.5
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.92935181 * 10240; FER = 0.31220703 * 10240; time = 0.0533s; samplesPerSecond = 192001.2
08/16/2016 10:38:05:  Epoch[18 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.93300171 * 10240; FER = 0.29677734 * 10240; time = 0.0532s; samplesPerSecond = 192354.7
08/16/2016 10:38:05: Finished Epoch[18 of 25]: [Training] CE.SM = 0.91914172 * 1124823; FER = 0.29810112 * 1124823; totalSamplesSeen = 20246814; learningRatePerSample = 7.8124998e-05; epochTime=6.03567s
08/16/2016 10:38:05: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.18'

08/16/2016 10:38:05: 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

08/16/2016 10:38:06: Starting minibatch loop.
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.90060320 * 10240; FER = 0.29511719 * 10240; time = 0.0561s; samplesPerSecond = 182583.3
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.91533575 * 10240; FER = 0.29628906 * 10240; time = 0.0531s; samplesPerSecond = 192883.6
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.90406380 * 10240; FER = 0.29140625 * 10240; time = 0.0532s; samplesPerSecond = 192307.7
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.92263985 * 10240; FER = 0.29404297 * 10240; time = 0.0532s; samplesPerSecond = 192481.2
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.93090172 * 10240; FER = 0.30419922 * 10240; time = 0.0532s; samplesPerSecond = 192502.9
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.91273232 * 10240; FER = 0.30107422 * 10240; time = 0.0533s; samplesPerSecond = 192228.3
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.93246574 * 10240; FER = 0.30546875 * 10240; time = 0.0533s; samplesPerSecond = 192156.1
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.90702286 * 10240; FER = 0.29326172 * 10240; time = 0.0534s; samplesPerSecond = 191893.3
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.91177139 * 10240; FER = 0.29257813 * 10240; time = 0.0532s; samplesPerSecond = 192492.1
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.92434006 * 10240; FER = 0.30156250 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.93009949 * 10240; FER = 0.30292969 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.89787750 * 10240; FER = 0.28955078 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.91357956 * 10240; FER = 0.29853516 * 10240; time = 0.0530s; samplesPerSecond = 193109.2
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.90693512 * 10240; FER = 0.29404297 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.91557770 * 10240; FER = 0.29736328 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.89964905 * 10240; FER = 0.29003906 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.91000977 * 10240; FER = 0.29296875 * 10240; time = 0.0530s; samplesPerSecond = 193331.6
08/16/2016 10:38:06:  Epoch[19 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.89038696 * 10240; FER = 0.28710938 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.89862823 * 10240; FER = 0.28798828 * 10240; time = 0.0531s; samplesPerSecond = 192967.2
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.92810669 * 10240; FER = 0.30029297 * 10240; time = 0.0532s; samplesPerSecond = 192600.7
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.92549744 * 10240; FER = 0.30595703 * 10240; time = 0.0531s; samplesPerSecond = 192945.4
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.92191467 * 10240; FER = 0.29580078 * 10240; time = 0.0531s; samplesPerSecond = 192778.3
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.91920776 * 10240; FER = 0.30478516 * 10240; time = 0.0531s; samplesPerSecond = 192970.9
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.90537720 * 10240; FER = 0.29394531 * 10240; time = 0.0531s; samplesPerSecond = 192680.4
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.91101227 * 10240; FER = 0.29482422 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.93956146 * 10240; FER = 0.30244141 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.93074951 * 10240; FER = 0.30048828 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.90968475 * 10240; FER = 0.28935547 * 10240; time = 0.0532s; samplesPerSecond = 192430.6
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.93266296 * 10240; FER = 0.30009766 * 10240; time = 0.0533s; samplesPerSecond = 192058.8
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.90615234 * 10240; FER = 0.29501953 * 10240; time = 0.0536s; samplesPerSecond = 191101.8
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.90973206 * 10240; FER = 0.29365234 * 10240; time = 0.0533s; samplesPerSecond = 192195.8
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.92702637 * 10240; FER = 0.29863281 * 10240; time = 0.0530s; samplesPerSecond = 193182.0
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.92130432 * 10240; FER = 0.30048828 * 10240; time = 0.0532s; samplesPerSecond = 192434.2
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.92937927 * 10240; FER = 0.30000000 * 10240; time = 0.0532s; samplesPerSecond = 192510.2
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.91108093 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192470.3
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.90893250 * 10240; FER = 0.29111328 * 10240; time = 0.0530s; samplesPerSecond = 193098.2
08/16/2016 10:38:07:  Epoch[19 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.91623230 * 10240; FER = 0.29501953 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.92379456 * 10240; FER = 0.30253906 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.91502686 * 10240; FER = 0.29414062 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91756897 * 10240; FER = 0.29746094 * 10240; time = 0.0531s; samplesPerSecond = 192989.1
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91339722 * 10240; FER = 0.29970703 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.91975708 * 10240; FER = 0.29912109 * 10240; time = 0.0529s; samplesPerSecond = 193444.8
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.91202698 * 10240; FER = 0.30341797 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.91671753 * 10240; FER = 0.29931641 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.89771118 * 10240; FER = 0.29150391 * 10240; time = 0.0529s; samplesPerSecond = 193393.6
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.91489563 * 10240; FER = 0.29667969 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.91721191 * 10240; FER = 0.29755859 * 10240; time = 0.0529s; samplesPerSecond = 193664.3
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.89474487 * 10240; FER = 0.29169922 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.90704041 * 10240; FER = 0.29511719 * 10240; time = 0.0531s; samplesPerSecond = 192662.3
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.92636719 * 10240; FER = 0.30351563 * 10240; time = 0.0533s; samplesPerSecond = 192112.9
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.94011841 * 10240; FER = 0.30703125 * 10240; time = 0.0532s; samplesPerSecond = 192510.2
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.88765869 * 10240; FER = 0.28798828 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.90612488 * 10240; FER = 0.29228516 * 10240; time = 0.0530s; samplesPerSecond = 193050.9
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.91353455 * 10240; FER = 0.29521484 * 10240; time = 0.0529s; samplesPerSecond = 193587.4
08/16/2016 10:38:08:  Epoch[19 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.90162659 * 10240; FER = 0.29062500 * 10240; time = 0.0530s; samplesPerSecond = 193295.1
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.89913330 * 10240; FER = 0.29433594 * 10240; time = 0.0531s; samplesPerSecond = 192778.3
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.91514893 * 10240; FER = 0.29287109 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.91333618 * 10240; FER = 0.29648438 * 10240; time = 0.0531s; samplesPerSecond = 192800.1
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.91492310 * 10240; FER = 0.28994141 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.92657471 * 10240; FER = 0.29111328 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.92741089 * 10240; FER = 0.30107422 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.90765381 * 10240; FER = 0.29609375 * 10240; time = 0.0534s; samplesPerSecond = 191907.6
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.92229004 * 10240; FER = 0.29785156 * 10240; time = 0.0532s; samplesPerSecond = 192347.4
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.90454712 * 10240; FER = 0.29179688 * 10240; time = 0.0532s; samplesPerSecond = 192463.1
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.92195435 * 10240; FER = 0.30126953 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.91182251 * 10240; FER = 0.29218750 * 10240; time = 0.0532s; samplesPerSecond = 192325.8
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.90419312 * 10240; FER = 0.29736328 * 10240; time = 0.0539s; samplesPerSecond = 189967.3
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91975708 * 10240; FER = 0.30048828 * 10240; time = 0.0539s; samplesPerSecond = 190140.2
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.93107910 * 10240; FER = 0.29960938 * 10240; time = 0.0534s; samplesPerSecond = 191893.3
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.91746826 * 10240; FER = 0.30322266 * 10240; time = 0.0533s; samplesPerSecond = 192120.1
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.91871338 * 10240; FER = 0.29560547 * 10240; time = 0.0530s; samplesPerSecond = 193214.8
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.90793457 * 10240; FER = 0.29707031 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.90780640 * 10240; FER = 0.29736328 * 10240; time = 0.0531s; samplesPerSecond = 192676.8
08/16/2016 10:38:09:  Epoch[19 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.92276001 * 10240; FER = 0.29736328 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.89907837 * 10240; FER = 0.29667969 * 10240; time = 0.0531s; samplesPerSecond = 192789.2
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.90905151 * 10240; FER = 0.29511719 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.91267700 * 10240; FER = 0.29306641 * 10240; time = 0.0530s; samplesPerSecond = 193262.2
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.93228760 * 10240; FER = 0.30644531 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.91408691 * 10240; FER = 0.30195312 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.92305908 * 10240; FER = 0.30146484 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.90550537 * 10240; FER = 0.28925781 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.89404907 * 10240; FER = 0.29570313 * 10240; time = 0.0530s; samplesPerSecond = 193142.0
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.93933716 * 10240; FER = 0.30117187 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.92424927 * 10240; FER = 0.29472656 * 10240; time = 0.0530s; samplesPerSecond = 193236.7
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.91871948 * 10240; FER = 0.29423828 * 10240; time = 0.0530s; samplesPerSecond = 193280.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.91323853 * 10240; FER = 0.29824219 * 10240; time = 0.0532s; samplesPerSecond = 192340.2
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.92294312 * 10240; FER = 0.30039063 * 10240; time = 0.0532s; samplesPerSecond = 192459.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.90140381 * 10240; FER = 0.29306641 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.91262207 * 10240; FER = 0.29541016 * 10240; time = 0.0529s; samplesPerSecond = 193517.9
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.90487671 * 10240; FER = 0.29003906 * 10240; time = 0.0530s; samplesPerSecond = 193386.3
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.91469116 * 10240; FER = 0.29785156 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.93568115 * 10240; FER = 0.30234375 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:38:10:  Epoch[19 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.91871948 * 10240; FER = 0.29785156 * 10240; time = 0.0531s; samplesPerSecond = 192912.7
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.92354736 * 10240; FER = 0.29736328 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.89583130 * 10240; FER = 0.29267578 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.90660400 * 10240; FER = 0.29814453 * 10240; time = 0.0530s; samplesPerSecond = 193295.1
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.92329712 * 10240; FER = 0.30273438 * 10240; time = 0.0530s; samplesPerSecond = 193200.3
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.90709229 * 10240; FER = 0.29082031 * 10240; time = 0.0530s; samplesPerSecond = 193171.1
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.93996582 * 10240; FER = 0.30830078 * 10240; time = 0.0531s; samplesPerSecond = 192930.9
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.93195190 * 10240; FER = 0.30576172 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.93943481 * 10240; FER = 0.30488281 * 10240; time = 0.0531s; samplesPerSecond = 192723.9
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.90843506 * 10240; FER = 0.29589844 * 10240; time = 0.0530s; samplesPerSecond = 193262.2
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.93413696 * 10240; FER = 0.30390625 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91117554 * 10240; FER = 0.29794922 * 10240; time = 0.0529s; samplesPerSecond = 193503.3
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.93264160 * 10240; FER = 0.30117187 * 10240; time = 0.0536s; samplesPerSecond = 190909.4
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.92034912 * 10240; FER = 0.29365234 * 10240; time = 0.0530s; samplesPerSecond = 193273.2
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.93707275 * 10240; FER = 0.30859375 * 10240; time = 0.0530s; samplesPerSecond = 193127.4
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.92593994 * 10240; FER = 0.29648438 * 10240; time = 0.0535s; samplesPerSecond = 191520.0
08/16/2016 10:38:11:  Epoch[19 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.90391235 * 10240; FER = 0.29287109 * 10240; time = 0.0530s; samplesPerSecond = 193069.1
08/16/2016 10:38:11: Finished Epoch[19 of 25]: [Training] CE.SM = 0.91593033 * 1124823; FER = 0.29708585 * 1124823; totalSamplesSeen = 21371637; learningRatePerSample = 7.8124998e-05; epochTime=6.02424s
08/16/2016 10:38:11: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.19'

08/16/2016 10:38:11: 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

08/16/2016 10:38:12: Starting minibatch loop.
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.92062740 * 10240; FER = 0.29785156 * 10240; time = 0.0561s; samplesPerSecond = 182619.1
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.91624355 * 10240; FER = 0.29746094 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.91592789 * 10240; FER = 0.29072266 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.91392212 * 10240; FER = 0.30146484 * 10240; time = 0.0530s; samplesPerSecond = 193320.6
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.91360207 * 10240; FER = 0.29726562 * 10240; time = 0.0533s; samplesPerSecond = 191983.2
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.91068916 * 10240; FER = 0.28867188 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.92339897 * 10240; FER = 0.29843750 * 10240; time = 0.0531s; samplesPerSecond = 192713.0
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.90666656 * 10240; FER = 0.29091797 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.89257355 * 10240; FER = 0.29335937 * 10240; time = 0.0533s; samplesPerSecond = 192134.5
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.91168518 * 10240; FER = 0.29863281 * 10240; time = 0.0529s; samplesPerSecond = 193408.3
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.92579041 * 10240; FER = 0.29902344 * 10240; time = 0.0530s; samplesPerSecond = 193160.2
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.91583099 * 10240; FER = 0.29062500 * 10240; time = 0.0530s; samplesPerSecond = 193360.8
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.91841888 * 10240; FER = 0.29208984 * 10240; time = 0.0530s; samplesPerSecond = 193331.6
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.92135544 * 10240; FER = 0.29882812 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.90989380 * 10240; FER = 0.29697266 * 10240; time = 0.0531s; samplesPerSecond = 192974.5
08/16/2016 10:38:12:  Epoch[20 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.91316071 * 10240; FER = 0.29482422 * 10240; time = 0.0530s; samplesPerSecond = 193134.7
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.92952271 * 10240; FER = 0.30458984 * 10240; time = 0.0530s; samplesPerSecond = 193251.3
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.91412964 * 10240; FER = 0.29345703 * 10240; time = 0.0530s; samplesPerSecond = 193131.0
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.92234955 * 10240; FER = 0.30009766 * 10240; time = 0.0529s; samplesPerSecond = 193675.3
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.92088013 * 10240; FER = 0.29843750 * 10240; time = 0.0530s; samplesPerSecond = 193236.7
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.89912872 * 10240; FER = 0.29355469 * 10240; time = 0.0529s; samplesPerSecond = 193444.8
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.90971985 * 10240; FER = 0.29335937 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.91923523 * 10240; FER = 0.29462891 * 10240; time = 0.0530s; samplesPerSecond = 193371.7
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.92510834 * 10240; FER = 0.30097656 * 10240; time = 0.0529s; samplesPerSecond = 193679.0
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.92256317 * 10240; FER = 0.30205078 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.90834808 * 10240; FER = 0.29267578 * 10240; time = 0.0529s; samplesPerSecond = 193730.3
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.91895905 * 10240; FER = 0.29882812 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.89352875 * 10240; FER = 0.28710938 * 10240; time = 0.0535s; samplesPerSecond = 191237.4
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.92720642 * 10240; FER = 0.29638672 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.90188904 * 10240; FER = 0.29033203 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.93017273 * 10240; FER = 0.29873047 * 10240; time = 0.0533s; samplesPerSecond = 192174.2
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.91322937 * 10240; FER = 0.29619141 * 10240; time = 0.0529s; samplesPerSecond = 193653.3
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.91577148 * 10240; FER = 0.29775391 * 10240; time = 0.0531s; samplesPerSecond = 192720.3
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.87702637 * 10240; FER = 0.28427734 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:38:13:  Epoch[20 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.93420410 * 10240; FER = 0.30000000 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.90384521 * 10240; FER = 0.29726562 * 10240; time = 0.0530s; samplesPerSecond = 193036.4
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.92632446 * 10240; FER = 0.30156250 * 10240; time = 0.0530s; samplesPerSecond = 193171.1
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.92444153 * 10240; FER = 0.29824219 * 10240; time = 0.0530s; samplesPerSecond = 193083.7
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.90902100 * 10240; FER = 0.29394531 * 10240; time = 0.0532s; samplesPerSecond = 192593.4
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.92986145 * 10240; FER = 0.30312500 * 10240; time = 0.0533s; samplesPerSecond = 192170.6
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91245422 * 10240; FER = 0.29697266 * 10240; time = 0.0533s; samplesPerSecond = 192257.1
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.90923157 * 10240; FER = 0.29921875 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.89822388 * 10240; FER = 0.29423828 * 10240; time = 0.0531s; samplesPerSecond = 192978.2
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.88683777 * 10240; FER = 0.29013672 * 10240; time = 0.0531s; samplesPerSecond = 193021.8
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.93009338 * 10240; FER = 0.30322266 * 10240; time = 0.0530s; samplesPerSecond = 193120.1
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.92850952 * 10240; FER = 0.30000000 * 10240; time = 0.0538s; samplesPerSecond = 190320.4
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.92283936 * 10240; FER = 0.29892578 * 10240; time = 0.0538s; samplesPerSecond = 190416.0
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90657654 * 10240; FER = 0.29404297 * 10240; time = 0.0539s; samplesPerSecond = 189875.8
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.91762390 * 10240; FER = 0.29736328 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.93273926 * 10240; FER = 0.30302734 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.90146484 * 10240; FER = 0.28769531 * 10240; time = 0.0532s; samplesPerSecond = 192329.4
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.90558167 * 10240; FER = 0.29306641 * 10240; time = 0.0532s; samplesPerSecond = 192419.7
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.93538513 * 10240; FER = 0.30146484 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:38:14:  Epoch[20 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.89927673 * 10240; FER = 0.29013672 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.91215820 * 10240; FER = 0.29179688 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.89915161 * 10240; FER = 0.29912109 * 10240; time = 0.0535s; samplesPerSecond = 191308.9
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.90434570 * 10240; FER = 0.29355469 * 10240; time = 0.0533s; samplesPerSecond = 191976.0
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.91475830 * 10240; FER = 0.29726562 * 10240; time = 0.0534s; samplesPerSecond = 191756.7
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.90393066 * 10240; FER = 0.29453125 * 10240; time = 0.0533s; samplesPerSecond = 192112.9
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.90208130 * 10240; FER = 0.29414062 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.90617065 * 10240; FER = 0.29482422 * 10240; time = 0.0534s; samplesPerSecond = 191713.6
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.92321777 * 10240; FER = 0.29677734 * 10240; time = 0.0533s; samplesPerSecond = 192185.0
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.90408936 * 10240; FER = 0.29697266 * 10240; time = 0.0533s; samplesPerSecond = 192163.3
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.91682129 * 10240; FER = 0.30136719 * 10240; time = 0.0531s; samplesPerSecond = 192680.4
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.91715698 * 10240; FER = 0.30126953 * 10240; time = 0.0534s; samplesPerSecond = 191853.7
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.92908936 * 10240; FER = 0.29560547 * 10240; time = 0.0532s; samplesPerSecond = 192615.2
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91008911 * 10240; FER = 0.29394531 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.90426025 * 10240; FER = 0.28691406 * 10240; time = 0.0532s; samplesPerSecond = 192647.8
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.91147461 * 10240; FER = 0.30253906 * 10240; time = 0.0533s; samplesPerSecond = 192221.1
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.90704346 * 10240; FER = 0.29882812 * 10240; time = 0.0529s; samplesPerSecond = 193565.5
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.92028198 * 10240; FER = 0.29785156 * 10240; time = 0.0531s; samplesPerSecond = 192854.6
08/16/2016 10:38:15:  Epoch[20 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.93918457 * 10240; FER = 0.30322266 * 10240; time = 0.0534s; samplesPerSecond = 191918.4
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.91426392 * 10240; FER = 0.29687500 * 10240; time = 0.0533s; samplesPerSecond = 192210.2
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.91912842 * 10240; FER = 0.29921875 * 10240; time = 0.0533s; samplesPerSecond = 192012.0
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.91904297 * 10240; FER = 0.29677734 * 10240; time = 0.0533s; samplesPerSecond = 192289.6
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.90482178 * 10240; FER = 0.29316406 * 10240; time = 0.0532s; samplesPerSecond = 192481.2
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.89960327 * 10240; FER = 0.28857422 * 10240; time = 0.0531s; samplesPerSecond = 192742.1
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.90001831 * 10240; FER = 0.29140625 * 10240; time = 0.0535s; samplesPerSecond = 191570.2
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.90927124 * 10240; FER = 0.29414062 * 10240; time = 0.0529s; samplesPerSecond = 193448.4
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.92290039 * 10240; FER = 0.29892578 * 10240; time = 0.0531s; samplesPerSecond = 192989.1
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.91703491 * 10240; FER = 0.29902344 * 10240; time = 0.0530s; samplesPerSecond = 193320.6
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.91102295 * 10240; FER = 0.29960938 * 10240; time = 0.0531s; samplesPerSecond = 192843.7
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.90375977 * 10240; FER = 0.29667969 * 10240; time = 0.0530s; samplesPerSecond = 193116.5
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.88615112 * 10240; FER = 0.29423828 * 10240; time = 0.0533s; samplesPerSecond = 191983.2
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.91625977 * 10240; FER = 0.29443359 * 10240; time = 0.0530s; samplesPerSecond = 193171.1
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.90692749 * 10240; FER = 0.29414062 * 10240; time = 0.0530s; samplesPerSecond = 193298.7
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.91575928 * 10240; FER = 0.29873047 * 10240; time = 0.0529s; samplesPerSecond = 193620.4
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.92629395 * 10240; FER = 0.29941406 * 10240; time = 0.0530s; samplesPerSecond = 193061.8
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.90042725 * 10240; FER = 0.29511719 * 10240; time = 0.0530s; samplesPerSecond = 193320.6
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.91246338 * 10240; FER = 0.29951172 * 10240; time = 0.0534s; samplesPerSecond = 191713.6
08/16/2016 10:38:16:  Epoch[20 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.92833252 * 10240; FER = 0.30371094 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.94089966 * 10240; FER = 0.30195312 * 10240; time = 0.0529s; samplesPerSecond = 193477.7
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.89766846 * 10240; FER = 0.29082031 * 10240; time = 0.0529s; samplesPerSecond = 193459.4
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.90560913 * 10240; FER = 0.29658203 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.92367554 * 10240; FER = 0.29726562 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.91406860 * 10240; FER = 0.29550781 * 10240; time = 0.0530s; samplesPerSecond = 193160.2
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.89675293 * 10240; FER = 0.29404297 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.90701294 * 10240; FER = 0.29208984 * 10240; time = 0.0531s; samplesPerSecond = 192880.0
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.93743286 * 10240; FER = 0.30546875 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.91156616 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.91882324 * 10240; FER = 0.29990234 * 10240; time = 0.0530s; samplesPerSecond = 193229.4
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.91401367 * 10240; FER = 0.29345703 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.90783691 * 10240; FER = 0.29277344 * 10240; time = 0.0535s; samplesPerSecond = 191498.5
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91457520 * 10240; FER = 0.29365234 * 10240; time = 0.0530s; samplesPerSecond = 193222.1
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.93463135 * 10240; FER = 0.30800781 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.91890869 * 10240; FER = 0.29785156 * 10240; time = 0.0531s; samplesPerSecond = 192938.2
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.90317993 * 10240; FER = 0.29042969 * 10240; time = 0.0530s; samplesPerSecond = 193254.9
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.89735107 * 10240; FER = 0.29248047 * 10240; time = 0.0532s; samplesPerSecond = 192651.4
08/16/2016 10:38:17:  Epoch[20 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.90925293 * 10240; FER = 0.29960938 * 10240; time = 0.0530s; samplesPerSecond = 193375.4
08/16/2016 10:38:17: Finished Epoch[20 of 25]: [Training] CE.SM = 0.91370781 * 1124823; FER = 0.29633907 * 1124823; totalSamplesSeen = 22496460; learningRatePerSample = 7.8124998e-05; epochTime=6.02415s
08/16/2016 10:38:18: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.20'

08/16/2016 10:38:18: 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

08/16/2016 10:38:18: Starting minibatch loop.
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.92444191 * 10240; FER = 0.30019531 * 10240; time = 0.0559s; samplesPerSecond = 183033.6
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.92198200 * 10240; FER = 0.29257813 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.92032890 * 10240; FER = 0.30087891 * 10240; time = 0.0534s; samplesPerSecond = 191832.1
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.91031170 * 10240; FER = 0.29238281 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.91033745 * 10240; FER = 0.29960938 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.92701073 * 10240; FER = 0.29824219 * 10240; time = 0.0532s; samplesPerSecond = 192343.8
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.90456085 * 10240; FER = 0.29628906 * 10240; time = 0.0535s; samplesPerSecond = 191573.7
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.91176224 * 10240; FER = 0.29746094 * 10240; time = 0.0534s; samplesPerSecond = 191850.1
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.92556000 * 10240; FER = 0.29794922 * 10240; time = 0.0533s; samplesPerSecond = 192044.4
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.89684143 * 10240; FER = 0.29003906 * 10240; time = 0.0530s; samplesPerSecond = 193138.3
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.89895477 * 10240; FER = 0.29111328 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.89733047 * 10240; FER = 0.29062500 * 10240; time = 0.0532s; samplesPerSecond = 192474.0
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.90859299 * 10240; FER = 0.29648438 * 10240; time = 0.0531s; samplesPerSecond = 192687.7
08/16/2016 10:38:18:  Epoch[21 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.91282196 * 10240; FER = 0.29951172 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.91777191 * 10240; FER = 0.29580078 * 10240; time = 0.0534s; samplesPerSecond = 191911.2
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.92678223 * 10240; FER = 0.29208984 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.91958160 * 10240; FER = 0.30078125 * 10240; time = 0.0533s; samplesPerSecond = 192177.8
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.92124023 * 10240; FER = 0.30214844 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.90080872 * 10240; FER = 0.29550781 * 10240; time = 0.0534s; samplesPerSecond = 191853.7
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.92653503 * 10240; FER = 0.30185547 * 10240; time = 0.0534s; samplesPerSecond = 191684.9
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.91957245 * 10240; FER = 0.29404297 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.91408234 * 10240; FER = 0.30029297 * 10240; time = 0.0533s; samplesPerSecond = 192166.9
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.87851715 * 10240; FER = 0.28925781 * 10240; time = 0.0532s; samplesPerSecond = 192550.0
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.91658020 * 10240; FER = 0.29638672 * 10240; time = 0.0530s; samplesPerSecond = 193116.5
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.90837097 * 10240; FER = 0.28945312 * 10240; time = 0.0535s; samplesPerSecond = 191330.3
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.89840546 * 10240; FER = 0.28681641 * 10240; time = 0.0543s; samplesPerSecond = 188495.2
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.90305481 * 10240; FER = 0.29130859 * 10240; time = 0.0535s; samplesPerSecond = 191333.9
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.90622101 * 10240; FER = 0.29785156 * 10240; time = 0.0534s; samplesPerSecond = 191631.1
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.91643524 * 10240; FER = 0.30341797 * 10240; time = 0.0537s; samplesPerSecond = 190710.3
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.91042786 * 10240; FER = 0.30019531 * 10240; time = 0.0536s; samplesPerSecond = 191055.5
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.92998962 * 10240; FER = 0.30419922 * 10240; time = 0.0535s; samplesPerSecond = 191391.1
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.92034607 * 10240; FER = 0.29736328 * 10240; time = 0.0535s; samplesPerSecond = 191341.1
08/16/2016 10:38:19:  Epoch[21 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.90228577 * 10240; FER = 0.29931641 * 10240; time = 0.0539s; samplesPerSecond = 190009.6
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.92164917 * 10240; FER = 0.30048828 * 10240; time = 0.0535s; samplesPerSecond = 191298.2
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.90580750 * 10240; FER = 0.29277344 * 10240; time = 0.0539s; samplesPerSecond = 190154.3
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.92153015 * 10240; FER = 0.29667969 * 10240; time = 0.0532s; samplesPerSecond = 192441.4
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.91863403 * 10240; FER = 0.29794922 * 10240; time = 0.0532s; samplesPerSecond = 192582.6
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.92752686 * 10240; FER = 0.30009766 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.92874146 * 10240; FER = 0.29824219 * 10240; time = 0.0534s; samplesPerSecond = 191796.2
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91353760 * 10240; FER = 0.29716797 * 10240; time = 0.0535s; samplesPerSecond = 191502.1
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91932678 * 10240; FER = 0.30253906 * 10240; time = 0.0532s; samplesPerSecond = 192495.7
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.90658569 * 10240; FER = 0.28798828 * 10240; time = 0.0532s; samplesPerSecond = 192615.2
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.91946411 * 10240; FER = 0.29472656 * 10240; time = 0.0533s; samplesPerSecond = 192163.3
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.92057800 * 10240; FER = 0.29443359 * 10240; time = 0.0532s; samplesPerSecond = 192539.1
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.91961975 * 10240; FER = 0.29638672 * 10240; time = 0.0532s; samplesPerSecond = 192455.9
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.92369385 * 10240; FER = 0.29716797 * 10240; time = 0.0535s; samplesPerSecond = 191487.8
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.91179504 * 10240; FER = 0.29824219 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90376892 * 10240; FER = 0.29394531 * 10240; time = 0.0532s; samplesPerSecond = 192340.2
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.91270447 * 10240; FER = 0.28994141 * 10240; time = 0.0533s; samplesPerSecond = 192037.2
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.91461182 * 10240; FER = 0.29628906 * 10240; time = 0.0531s; samplesPerSecond = 192742.1
08/16/2016 10:38:20:  Epoch[21 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.92652893 * 10240; FER = 0.29960938 * 10240; time = 0.0530s; samplesPerSecond = 193196.6
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.89941101 * 10240; FER = 0.29150391 * 10240; time = 0.0531s; samplesPerSecond = 193018.2
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.91302490 * 10240; FER = 0.30087891 * 10240; time = 0.0530s; samplesPerSecond = 193284.1
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.91505432 * 10240; FER = 0.29287109 * 10240; time = 0.0533s; samplesPerSecond = 192037.2
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.89161072 * 10240; FER = 0.29052734 * 10240; time = 0.0532s; samplesPerSecond = 192347.4
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.91620483 * 10240; FER = 0.30068359 * 10240; time = 0.0535s; samplesPerSecond = 191394.7
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.90541077 * 10240; FER = 0.29746094 * 10240; time = 0.0532s; samplesPerSecond = 192441.4
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.92042236 * 10240; FER = 0.30146484 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.90437622 * 10240; FER = 0.28808594 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.89955444 * 10240; FER = 0.29453125 * 10240; time = 0.0532s; samplesPerSecond = 192347.4
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.90645752 * 10240; FER = 0.28906250 * 10240; time = 0.0533s; samplesPerSecond = 192098.5
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.90065918 * 10240; FER = 0.29218750 * 10240; time = 0.0531s; samplesPerSecond = 192705.8
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.90652466 * 10240; FER = 0.29511719 * 10240; time = 0.0533s; samplesPerSecond = 192145.3
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.92384644 * 10240; FER = 0.29394531 * 10240; time = 0.0532s; samplesPerSecond = 192513.8
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.89924927 * 10240; FER = 0.28740234 * 10240; time = 0.0534s; samplesPerSecond = 191839.3
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.89552612 * 10240; FER = 0.29365234 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91569824 * 10240; FER = 0.29697266 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91330566 * 10240; FER = 0.29511719 * 10240; time = 0.0531s; samplesPerSecond = 192684.0
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.92019653 * 10240; FER = 0.30039063 * 10240; time = 0.0533s; samplesPerSecond = 192289.6
08/16/2016 10:38:21:  Epoch[21 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.92445068 * 10240; FER = 0.29707031 * 10240; time = 0.0531s; samplesPerSecond = 192745.7
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.90932007 * 10240; FER = 0.29199219 * 10240; time = 0.0531s; samplesPerSecond = 192774.7
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.92877197 * 10240; FER = 0.30205078 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.92085571 * 10240; FER = 0.29833984 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.91809082 * 10240; FER = 0.30361328 * 10240; time = 0.0531s; samplesPerSecond = 193021.8
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.91293335 * 10240; FER = 0.29375000 * 10240; time = 0.0530s; samplesPerSecond = 193091.0
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.90376587 * 10240; FER = 0.29111328 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.90122681 * 10240; FER = 0.29580078 * 10240; time = 0.0532s; samplesPerSecond = 192463.1
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.89785156 * 10240; FER = 0.29316406 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.91387329 * 10240; FER = 0.29843750 * 10240; time = 0.0530s; samplesPerSecond = 193327.9
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.89384766 * 10240; FER = 0.29345703 * 10240; time = 0.0534s; samplesPerSecond = 191706.4
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.92349854 * 10240; FER = 0.29951172 * 10240; time = 0.0533s; samplesPerSecond = 192235.5
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.88851929 * 10240; FER = 0.28808594 * 10240; time = 0.0534s; samplesPerSecond = 191807.0
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.90238037 * 10240; FER = 0.29755859 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.91029663 * 10240; FER = 0.29697266 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.89755249 * 10240; FER = 0.29062500 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.92562256 * 10240; FER = 0.29765625 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.91792603 * 10240; FER = 0.29423828 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.91212769 * 10240; FER = 0.29882812 * 10240; time = 0.0532s; samplesPerSecond = 192488.4
08/16/2016 10:38:22:  Epoch[21 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.91495361 * 10240; FER = 0.28974609 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.90413208 * 10240; FER = 0.28847656 * 10240; time = 0.0531s; samplesPerSecond = 192996.3
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.93093872 * 10240; FER = 0.30625000 * 10240; time = 0.0532s; samplesPerSecond = 192437.8
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.92077637 * 10240; FER = 0.30039063 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.92664185 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.90245972 * 10240; FER = 0.29687500 * 10240; time = 0.0530s; samplesPerSecond = 193029.1
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.90399780 * 10240; FER = 0.29267578 * 10240; time = 0.0532s; samplesPerSecond = 192597.1
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.89738770 * 10240; FER = 0.29287109 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.92276001 * 10240; FER = 0.29345703 * 10240; time = 0.0534s; samplesPerSecond = 191656.2
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.91311646 * 10240; FER = 0.29121094 * 10240; time = 0.0530s; samplesPerSecond = 193058.2
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.91165771 * 10240; FER = 0.29863281 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.90492554 * 10240; FER = 0.28974609 * 10240; time = 0.0534s; samplesPerSecond = 191763.9
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.90971069 * 10240; FER = 0.29121094 * 10240; time = 0.0536s; samplesPerSecond = 190884.5
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.90361328 * 10240; FER = 0.29677734 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.89568481 * 10240; FER = 0.28945312 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91261597 * 10240; FER = 0.29687500 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.90294800 * 10240; FER = 0.29316406 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.89397583 * 10240; FER = 0.29208984 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.91741333 * 10240; FER = 0.30009766 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:38:23:  Epoch[21 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.90968628 * 10240; FER = 0.29951172 * 10240; time = 0.0534s; samplesPerSecond = 191641.9
08/16/2016 10:38:24:  Epoch[21 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.92305908 * 10240; FER = 0.30048828 * 10240; time = 0.0533s; samplesPerSecond = 192141.7
08/16/2016 10:38:24: Finished Epoch[21 of 25]: [Training] CE.SM = 0.91186947 * 1124823; FER = 0.29572742 * 1124823; totalSamplesSeen = 23621283; learningRatePerSample = 7.8124998e-05; epochTime=6.03648s
08/16/2016 10:38:24: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.21'

08/16/2016 10:38:24: 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

08/16/2016 10:38:24: Starting minibatch loop.
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.92267437 * 10240; FER = 0.30029297 * 10240; time = 0.0561s; samplesPerSecond = 182537.7
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.91378822 * 10240; FER = 0.29882812 * 10240; time = 0.0532s; samplesPerSecond = 192633.3
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.88910465 * 10240; FER = 0.28867188 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.90298271 * 10240; FER = 0.29189453 * 10240; time = 0.0533s; samplesPerSecond = 192300.5
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.90884285 * 10240; FER = 0.29599609 * 10240; time = 0.0536s; samplesPerSecond = 191223.2
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.92609901 * 10240; FER = 0.29609375 * 10240; time = 0.0544s; samplesPerSecond = 188186.9
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.90561562 * 10240; FER = 0.29501953 * 10240; time = 0.0537s; samplesPerSecond = 190628.7
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.88334084 * 10240; FER = 0.28935547 * 10240; time = 0.0536s; samplesPerSecond = 190866.7
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.90077286 * 10240; FER = 0.28671875 * 10240; time = 0.0536s; samplesPerSecond = 190909.4
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.91348495 * 10240; FER = 0.29921875 * 10240; time = 0.0534s; samplesPerSecond = 191868.1
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.91267776 * 10240; FER = 0.29501953 * 10240; time = 0.0537s; samplesPerSecond = 190536.4
08/16/2016 10:38:24:  Epoch[22 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.92407837 * 10240; FER = 0.30263672 * 10240; time = 0.0539s; samplesPerSecond = 190027.3
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.89025116 * 10240; FER = 0.29091797 * 10240; time = 0.0536s; samplesPerSecond = 191194.6
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.91731110 * 10240; FER = 0.29804687 * 10240; time = 0.0538s; samplesPerSecond = 190493.9
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.92041168 * 10240; FER = 0.29707031 * 10240; time = 0.0536s; samplesPerSecond = 191037.6
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.91080170 * 10240; FER = 0.29785156 * 10240; time = 0.0534s; samplesPerSecond = 191620.4
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.90549011 * 10240; FER = 0.29550781 * 10240; time = 0.0533s; samplesPerSecond = 192293.2
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.91206970 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192589.8
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.91215210 * 10240; FER = 0.29570313 * 10240; time = 0.0533s; samplesPerSecond = 192159.7
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.89680481 * 10240; FER = 0.29228516 * 10240; time = 0.0533s; samplesPerSecond = 191994.0
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.92236176 * 10240; FER = 0.30087891 * 10240; time = 0.0529s; samplesPerSecond = 193393.6
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.90359344 * 10240; FER = 0.29482422 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.91351624 * 10240; FER = 0.29462891 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.92834625 * 10240; FER = 0.29746094 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.90240631 * 10240; FER = 0.29257813 * 10240; time = 0.0531s; samplesPerSecond = 192898.2
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.90892181 * 10240; FER = 0.29765625 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.91644745 * 10240; FER = 0.29687500 * 10240; time = 0.0533s; samplesPerSecond = 192231.9
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.90001984 * 10240; FER = 0.29160156 * 10240; time = 0.0531s; samplesPerSecond = 192840.1
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.93432617 * 10240; FER = 0.29560547 * 10240; time = 0.0532s; samplesPerSecond = 192387.2
08/16/2016 10:38:25:  Epoch[22 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.90195618 * 10240; FER = 0.29472656 * 10240; time = 0.0531s; samplesPerSecond = 192749.3
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.92727661 * 10240; FER = 0.29804687 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.90729675 * 10240; FER = 0.29667969 * 10240; time = 0.0530s; samplesPerSecond = 193225.8
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.92422791 * 10240; FER = 0.29541016 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.90332642 * 10240; FER = 0.29365234 * 10240; time = 0.0531s; samplesPerSecond = 192858.2
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.90778198 * 10240; FER = 0.29501953 * 10240; time = 0.0533s; samplesPerSecond = 191972.4
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.92621765 * 10240; FER = 0.30107422 * 10240; time = 0.0530s; samplesPerSecond = 193072.8
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.91695557 * 10240; FER = 0.29580078 * 10240; time = 0.0533s; samplesPerSecond = 192177.8
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.89423523 * 10240; FER = 0.29179688 * 10240; time = 0.0533s; samplesPerSecond = 192058.8
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.90474548 * 10240; FER = 0.29550781 * 10240; time = 0.0531s; samplesPerSecond = 192992.7
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91290894 * 10240; FER = 0.29501953 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91307068 * 10240; FER = 0.30341797 * 10240; time = 0.0532s; samplesPerSecond = 192622.4
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.92339172 * 10240; FER = 0.29902344 * 10240; time = 0.0529s; samplesPerSecond = 193561.8
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.91048584 * 10240; FER = 0.29443359 * 10240; time = 0.0529s; samplesPerSecond = 193506.9
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.91012573 * 10240; FER = 0.29375000 * 10240; time = 0.0530s; samplesPerSecond = 193145.6
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.90300293 * 10240; FER = 0.29179688 * 10240; time = 0.0529s; samplesPerSecond = 193393.6
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.91583862 * 10240; FER = 0.29453125 * 10240; time = 0.0529s; samplesPerSecond = 193506.9
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.94051208 * 10240; FER = 0.31015625 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.91324768 * 10240; FER = 0.29277344 * 10240; time = 0.0529s; samplesPerSecond = 193397.3
08/16/2016 10:38:26:  Epoch[22 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.89487000 * 10240; FER = 0.29013672 * 10240; time = 0.0528s; samplesPerSecond = 193807.3
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.91282349 * 10240; FER = 0.29707031 * 10240; time = 0.0529s; samplesPerSecond = 193415.6
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.92034912 * 10240; FER = 0.29541016 * 10240; time = 0.0530s; samplesPerSecond = 193309.7
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.90780029 * 10240; FER = 0.29589844 * 10240; time = 0.0529s; samplesPerSecond = 193558.1
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.90802307 * 10240; FER = 0.29375000 * 10240; time = 0.0529s; samplesPerSecond = 193689.9
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.90032043 * 10240; FER = 0.29111328 * 10240; time = 0.0530s; samplesPerSecond = 193152.9
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.91846313 * 10240; FER = 0.29804687 * 10240; time = 0.0528s; samplesPerSecond = 193825.6
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.91579590 * 10240; FER = 0.29404297 * 10240; time = 0.0529s; samplesPerSecond = 193510.6
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.92060242 * 10240; FER = 0.29638672 * 10240; time = 0.0530s; samplesPerSecond = 193218.5
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.91352539 * 10240; FER = 0.29863281 * 10240; time = 0.0528s; samplesPerSecond = 193979.8
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.93489990 * 10240; FER = 0.30566406 * 10240; time = 0.0530s; samplesPerSecond = 193156.5
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.89609985 * 10240; FER = 0.29365234 * 10240; time = 0.0530s; samplesPerSecond = 193149.2
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.92901611 * 10240; FER = 0.30214844 * 10240; time = 0.0531s; samplesPerSecond = 192927.3
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.90954590 * 10240; FER = 0.28857422 * 10240; time = 0.0531s; samplesPerSecond = 192978.2
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.91543579 * 10240; FER = 0.29853516 * 10240; time = 0.0531s; samplesPerSecond = 192945.4
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.87885132 * 10240; FER = 0.28398438 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.92227173 * 10240; FER = 0.29951172 * 10240; time = 0.0531s; samplesPerSecond = 193010.9
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.89122925 * 10240; FER = 0.28779297 * 10240; time = 0.0529s; samplesPerSecond = 193550.8
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91669312 * 10240; FER = 0.29355469 * 10240; time = 0.0531s; samplesPerSecond = 192680.4
08/16/2016 10:38:27:  Epoch[22 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91853027 * 10240; FER = 0.30000000 * 10240; time = 0.0531s; samplesPerSecond = 192974.5
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.91630859 * 10240; FER = 0.29248047 * 10240; time = 0.0531s; samplesPerSecond = 192945.4
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.89048462 * 10240; FER = 0.29619141 * 10240; time = 0.0530s; samplesPerSecond = 193214.8
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.89143677 * 10240; FER = 0.28808594 * 10240; time = 0.0531s; samplesPerSecond = 192861.9
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.90093384 * 10240; FER = 0.29003906 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.92369385 * 10240; FER = 0.30058594 * 10240; time = 0.0529s; samplesPerSecond = 193708.3
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.91244507 * 10240; FER = 0.29492188 * 10240; time = 0.0528s; samplesPerSecond = 193928.4
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.89487915 * 10240; FER = 0.29453125 * 10240; time = 0.0529s; samplesPerSecond = 193679.0
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.91262207 * 10240; FER = 0.29306641 * 10240; time = 0.0530s; samplesPerSecond = 193327.9
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.90525513 * 10240; FER = 0.29267578 * 10240; time = 0.0528s; samplesPerSecond = 194104.8
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.89335327 * 10240; FER = 0.28515625 * 10240; time = 0.0529s; samplesPerSecond = 193499.6
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.89479980 * 10240; FER = 0.29365234 * 10240; time = 0.0529s; samplesPerSecond = 193463.1
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.90935669 * 10240; FER = 0.30029297 * 10240; time = 0.0530s; samplesPerSecond = 193349.8
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.92184448 * 10240; FER = 0.29873047 * 10240; time = 0.0528s; samplesPerSecond = 193972.5
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.90963745 * 10240; FER = 0.29433594 * 10240; time = 0.0530s; samplesPerSecond = 193171.1
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.91804810 * 10240; FER = 0.29892578 * 10240; time = 0.0529s; samplesPerSecond = 193408.3
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.91379395 * 10240; FER = 0.29052734 * 10240; time = 0.0532s; samplesPerSecond = 192626.0
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.93020020 * 10240; FER = 0.29794922 * 10240; time = 0.0529s; samplesPerSecond = 193496.0
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.90100708 * 10240; FER = 0.29697266 * 10240; time = 0.0532s; samplesPerSecond = 192322.1
08/16/2016 10:38:28:  Epoch[22 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.89729004 * 10240; FER = 0.29228516 * 10240; time = 0.0530s; samplesPerSecond = 193375.4
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.91936646 * 10240; FER = 0.29921875 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.90645752 * 10240; FER = 0.29238281 * 10240; time = 0.0529s; samplesPerSecond = 193455.8
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.90127563 * 10240; FER = 0.29277344 * 10240; time = 0.0529s; samplesPerSecond = 193554.5
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.90030518 * 10240; FER = 0.29091797 * 10240; time = 0.0528s; samplesPerSecond = 193810.9
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.93341675 * 10240; FER = 0.30009766 * 10240; time = 0.0528s; samplesPerSecond = 193774.2
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.89789429 * 10240; FER = 0.29121094 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.89569702 * 10240; FER = 0.29121094 * 10240; time = 0.0530s; samplesPerSecond = 193357.1
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.90200195 * 10240; FER = 0.28945312 * 10240; time = 0.0532s; samplesPerSecond = 192448.6
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.92779541 * 10240; FER = 0.29882812 * 10240; time = 0.0531s; samplesPerSecond = 192901.8
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.91829834 * 10240; FER = 0.30390625 * 10240; time = 0.0533s; samplesPerSecond = 192058.8
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.89873047 * 10240; FER = 0.29501953 * 10240; time = 0.0533s; samplesPerSecond = 192163.3
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.91422119 * 10240; FER = 0.29296875 * 10240; time = 0.0542s; samplesPerSecond = 189069.4
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.88959351 * 10240; FER = 0.29238281 * 10240; time = 0.0539s; samplesPerSecond = 189812.4
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.90304565 * 10240; FER = 0.29501953 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.89044189 * 10240; FER = 0.28769531 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.90699463 * 10240; FER = 0.29287109 * 10240; time = 0.0533s; samplesPerSecond = 192004.8
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91806030 * 10240; FER = 0.29736328 * 10240; time = 0.0531s; samplesPerSecond = 192876.4
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.92109375 * 10240; FER = 0.30009766 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:38:29:  Epoch[22 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.91749268 * 10240; FER = 0.29765625 * 10240; time = 0.0533s; samplesPerSecond = 192098.5
08/16/2016 10:38:30:  Epoch[22 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.92607422 * 10240; FER = 0.30087891 * 10240; time = 0.0532s; samplesPerSecond = 192311.3
08/16/2016 10:38:30:  Epoch[22 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.89991455 * 10240; FER = 0.29267578 * 10240; time = 0.0531s; samplesPerSecond = 192745.7
08/16/2016 10:38:30:  Epoch[22 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.92384033 * 10240; FER = 0.30732422 * 10240; time = 0.0528s; samplesPerSecond = 194082.8
08/16/2016 10:38:30: Finished Epoch[22 of 25]: [Training] CE.SM = 0.91034506 * 1124823; FER = 0.29534958 * 1124823; totalSamplesSeen = 24746106; learningRatePerSample = 7.8124998e-05; epochTime=6.02498s
08/16/2016 10:38:30: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.22'

08/16/2016 10:38:30: 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

08/16/2016 10:38:30: Starting minibatch loop.
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.91843767 * 10240; FER = 0.29433594 * 10240; time = 0.0557s; samplesPerSecond = 183835.4
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.89562387 * 10240; FER = 0.28574219 * 10240; time = 0.0530s; samplesPerSecond = 193211.2
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.93104916 * 10240; FER = 0.30644531 * 10240; time = 0.0530s; samplesPerSecond = 193032.7
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.90633049 * 10240; FER = 0.29199219 * 10240; time = 0.0529s; samplesPerSecond = 193532.5
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.93127861 * 10240; FER = 0.29980469 * 10240; time = 0.0529s; samplesPerSecond = 193704.6
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.92074127 * 10240; FER = 0.30000000 * 10240; time = 0.0529s; samplesPerSecond = 193547.2
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.90042915 * 10240; FER = 0.29179688 * 10240; time = 0.0529s; samplesPerSecond = 193550.8
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.89645462 * 10240; FER = 0.29394531 * 10240; time = 0.0533s; samplesPerSecond = 192116.5
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.91007767 * 10240; FER = 0.29326172 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:38:30:  Epoch[23 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.91588593 * 10240; FER = 0.30126953 * 10240; time = 0.0530s; samplesPerSecond = 193069.1
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.89438324 * 10240; FER = 0.29404297 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.90750656 * 10240; FER = 0.29199219 * 10240; time = 0.0533s; samplesPerSecond = 192091.2
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.89598465 * 10240; FER = 0.29218750 * 10240; time = 0.0534s; samplesPerSecond = 191598.8
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.92876663 * 10240; FER = 0.30185547 * 10240; time = 0.0534s; samplesPerSecond = 191645.5
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.91465912 * 10240; FER = 0.29394531 * 10240; time = 0.0532s; samplesPerSecond = 192380.0
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.91949463 * 10240; FER = 0.29599609 * 10240; time = 0.0534s; samplesPerSecond = 191940.0
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.90654297 * 10240; FER = 0.28789063 * 10240; time = 0.0532s; samplesPerSecond = 192333.0
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.92183380 * 10240; FER = 0.29775391 * 10240; time = 0.0531s; samplesPerSecond = 192767.5
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.91440887 * 10240; FER = 0.29609375 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.90263519 * 10240; FER = 0.28701172 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.89592743 * 10240; FER = 0.28808594 * 10240; time = 0.0533s; samplesPerSecond = 192224.7
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.90100403 * 10240; FER = 0.29287109 * 10240; time = 0.0535s; samplesPerSecond = 191369.7
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.93325958 * 10240; FER = 0.30087891 * 10240; time = 0.0536s; samplesPerSecond = 191141.1
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.90241699 * 10240; FER = 0.29101562 * 10240; time = 0.0533s; samplesPerSecond = 192116.5
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.90003357 * 10240; FER = 0.29589844 * 10240; time = 0.0532s; samplesPerSecond = 192560.8
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.88117065 * 10240; FER = 0.29130859 * 10240; time = 0.0531s; samplesPerSecond = 192811.0
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.91401978 * 10240; FER = 0.29648438 * 10240; time = 0.0530s; samplesPerSecond = 193131.0
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.91541595 * 10240; FER = 0.29560547 * 10240; time = 0.0531s; samplesPerSecond = 192665.9
08/16/2016 10:38:31:  Epoch[23 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.89333191 * 10240; FER = 0.28593750 * 10240; time = 0.0533s; samplesPerSecond = 192026.4
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.91337891 * 10240; FER = 0.29384766 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.89381409 * 10240; FER = 0.28935547 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.90426941 * 10240; FER = 0.29257813 * 10240; time = 0.0533s; samplesPerSecond = 192055.2
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.89894104 * 10240; FER = 0.29199219 * 10240; time = 0.0534s; samplesPerSecond = 191598.8
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.89696960 * 10240; FER = 0.29335937 * 10240; time = 0.0530s; samplesPerSecond = 193193.0
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.90880432 * 10240; FER = 0.29345703 * 10240; time = 0.0533s; samplesPerSecond = 192217.4
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.91588745 * 10240; FER = 0.29794922 * 10240; time = 0.0534s; samplesPerSecond = 191889.7
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.92382812 * 10240; FER = 0.29990234 * 10240; time = 0.0532s; samplesPerSecond = 192524.6
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.91809387 * 10240; FER = 0.30097656 * 10240; time = 0.0532s; samplesPerSecond = 192343.8
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.89449158 * 10240; FER = 0.29531250 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.91587830 * 10240; FER = 0.30117187 * 10240; time = 0.0532s; samplesPerSecond = 192383.6
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.90724182 * 10240; FER = 0.29189453 * 10240; time = 0.0535s; samplesPerSecond = 191545.1
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.91084290 * 10240; FER = 0.29541016 * 10240; time = 0.0532s; samplesPerSecond = 192607.9
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.90309143 * 10240; FER = 0.29345703 * 10240; time = 0.0532s; samplesPerSecond = 192521.0
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.90590210 * 10240; FER = 0.29433594 * 10240; time = 0.0533s; samplesPerSecond = 192120.1
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.91060486 * 10240; FER = 0.29599609 * 10240; time = 0.0531s; samplesPerSecond = 192872.7
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.90852966 * 10240; FER = 0.29804687 * 10240; time = 0.0535s; samplesPerSecond = 191369.7
08/16/2016 10:38:32:  Epoch[23 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.91534424 * 10240; FER = 0.29775391 * 10240; time = 0.0534s; samplesPerSecond = 191814.2
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.88976746 * 10240; FER = 0.29707031 * 10240; time = 0.0532s; samplesPerSecond = 192387.2
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.89747314 * 10240; FER = 0.29140625 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.92432251 * 10240; FER = 0.30000000 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.91463928 * 10240; FER = 0.29824219 * 10240; time = 0.0531s; samplesPerSecond = 192887.3
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.90878906 * 10240; FER = 0.29765625 * 10240; time = 0.0533s; samplesPerSecond = 192073.2
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.92759399 * 10240; FER = 0.30341797 * 10240; time = 0.0535s; samplesPerSecond = 191502.1
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.92497559 * 10240; FER = 0.29980469 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.92169189 * 10240; FER = 0.29677734 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.89136047 * 10240; FER = 0.28837891 * 10240; time = 0.0533s; samplesPerSecond = 192116.5
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.90615234 * 10240; FER = 0.29228516 * 10240; time = 0.0530s; samplesPerSecond = 193142.0
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.90809937 * 10240; FER = 0.29589844 * 10240; time = 0.0533s; samplesPerSecond = 192296.9
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.90860596 * 10240; FER = 0.29052734 * 10240; time = 0.0534s; samplesPerSecond = 191774.7
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.90057373 * 10240; FER = 0.29589844 * 10240; time = 0.0533s; samplesPerSecond = 191954.4
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.91197510 * 10240; FER = 0.29658203 * 10240; time = 0.0535s; samplesPerSecond = 191416.2
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.90744019 * 10240; FER = 0.28857422 * 10240; time = 0.0530s; samplesPerSecond = 193174.7
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.89583130 * 10240; FER = 0.29042969 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.92581177 * 10240; FER = 0.29960938 * 10240; time = 0.0532s; samplesPerSecond = 192615.2
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.89707031 * 10240; FER = 0.29121094 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:38:33:  Epoch[23 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.92171631 * 10240; FER = 0.29462891 * 10240; time = 0.0529s; samplesPerSecond = 193408.3
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.91038208 * 10240; FER = 0.29794922 * 10240; time = 0.0530s; samplesPerSecond = 193276.8
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91491089 * 10240; FER = 0.29580078 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.89826660 * 10240; FER = 0.29404297 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.92534180 * 10240; FER = 0.29843750 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.90336914 * 10240; FER = 0.29404297 * 10240; time = 0.0531s; samplesPerSecond = 192941.8
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.89912109 * 10240; FER = 0.29091797 * 10240; time = 0.0532s; samplesPerSecond = 192369.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.90036621 * 10240; FER = 0.28964844 * 10240; time = 0.0534s; samplesPerSecond = 191620.4
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.90574951 * 10240; FER = 0.29355469 * 10240; time = 0.0532s; samplesPerSecond = 192539.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.90895386 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.90856934 * 10240; FER = 0.29677734 * 10240; time = 0.0532s; samplesPerSecond = 192655.0
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.89677734 * 10240; FER = 0.29287109 * 10240; time = 0.0537s; samplesPerSecond = 190689.0
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.92100220 * 10240; FER = 0.30253906 * 10240; time = 0.0547s; samplesPerSecond = 187257.7
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.93552246 * 10240; FER = 0.30087891 * 10240; time = 0.0534s; samplesPerSecond = 191623.9
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.91558228 * 10240; FER = 0.29140625 * 10240; time = 0.0531s; samplesPerSecond = 192818.3
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.91046143 * 10240; FER = 0.29951172 * 10240; time = 0.0531s; samplesPerSecond = 192691.3
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.92254639 * 10240; FER = 0.29541016 * 10240; time = 0.0530s; samplesPerSecond = 193069.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.94168091 * 10240; FER = 0.30732422 * 10240; time = 0.0533s; samplesPerSecond = 192257.1
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.89830322 * 10240; FER = 0.29121094 * 10240; time = 0.0533s; samplesPerSecond = 192022.8
08/16/2016 10:38:34:  Epoch[23 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.89851685 * 10240; FER = 0.29560547 * 10240; time = 0.0530s; samplesPerSecond = 193087.3
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.90225220 * 10240; FER = 0.29101562 * 10240; time = 0.0531s; samplesPerSecond = 192727.5
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.91011353 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192398.0
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.90413208 * 10240; FER = 0.29140625 * 10240; time = 0.0532s; samplesPerSecond = 192644.2
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.89961548 * 10240; FER = 0.29316406 * 10240; time = 0.0531s; samplesPerSecond = 192880.0
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.88685913 * 10240; FER = 0.28818359 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.89639282 * 10240; FER = 0.28867188 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.92690430 * 10240; FER = 0.30146484 * 10240; time = 0.0533s; samplesPerSecond = 192239.1
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.90490723 * 10240; FER = 0.29707031 * 10240; time = 0.0535s; samplesPerSecond = 191384.0
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.92271729 * 10240; FER = 0.30029297 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.90676880 * 10240; FER = 0.29541016 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.92081909 * 10240; FER = 0.30273438 * 10240; time = 0.0530s; samplesPerSecond = 193313.3
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.90738525 * 10240; FER = 0.29511719 * 10240; time = 0.0534s; samplesPerSecond = 191728.0
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.90667114 * 10240; FER = 0.29394531 * 10240; time = 0.0534s; samplesPerSecond = 191817.8
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.89255981 * 10240; FER = 0.29130859 * 10240; time = 0.0532s; samplesPerSecond = 192622.4
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.90129395 * 10240; FER = 0.29003906 * 10240; time = 0.0531s; samplesPerSecond = 192803.8
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.92073364 * 10240; FER = 0.29853516 * 10240; time = 0.0530s; samplesPerSecond = 193069.1
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.90729370 * 10240; FER = 0.29580078 * 10240; time = 0.0530s; samplesPerSecond = 193134.7
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.90632935 * 10240; FER = 0.29052734 * 10240; time = 0.0534s; samplesPerSecond = 191925.6
08/16/2016 10:38:35:  Epoch[23 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91083984 * 10240; FER = 0.29189453 * 10240; time = 0.0531s; samplesPerSecond = 192934.5
08/16/2016 10:38:36:  Epoch[23 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.89804077 * 10240; FER = 0.29902344 * 10240; time = 0.0531s; samplesPerSecond = 192967.2
08/16/2016 10:38:36:  Epoch[23 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.92216187 * 10240; FER = 0.29453125 * 10240; time = 0.0532s; samplesPerSecond = 192658.7
08/16/2016 10:38:36:  Epoch[23 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.90119629 * 10240; FER = 0.29277344 * 10240; time = 0.0533s; samplesPerSecond = 191950.8
08/16/2016 10:38:36:  Epoch[23 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.89888306 * 10240; FER = 0.28779297 * 10240; time = 0.0531s; samplesPerSecond = 192836.4
08/16/2016 10:38:36:  Epoch[23 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.89144287 * 10240; FER = 0.29140625 * 10240; time = 0.0530s; samplesPerSecond = 193229.4
08/16/2016 10:38:36: Finished Epoch[23 of 25]: [Training] CE.SM = 0.90901191 * 1124823; FER = 0.29486328 * 1124823; totalSamplesSeen = 25870929; learningRatePerSample = 7.8124998e-05; epochTime=6.03745s
08/16/2016 10:38:36: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.23'

08/16/2016 10:38:36: 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

08/16/2016 10:38:36: Starting minibatch loop.
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.91277523 * 10240; FER = 0.29746094 * 10240; time = 0.0568s; samplesPerSecond = 180250.0
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.90541592 * 10240; FER = 0.29472656 * 10240; time = 0.0531s; samplesPerSecond = 192956.3
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.87483730 * 10240; FER = 0.28535156 * 10240; time = 0.0533s; samplesPerSecond = 192123.7
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.88219700 * 10240; FER = 0.28906250 * 10240; time = 0.0529s; samplesPerSecond = 193528.9
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.90058479 * 10240; FER = 0.29375000 * 10240; time = 0.0531s; samplesPerSecond = 192782.0
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.93439980 * 10240; FER = 0.30136719 * 10240; time = 0.0531s; samplesPerSecond = 193014.5
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.91437988 * 10240; FER = 0.30097656 * 10240; time = 0.0532s; samplesPerSecond = 192495.7
08/16/2016 10:38:36:  Epoch[24 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.91546822 * 10240; FER = 0.30351563 * 10240; time = 0.0533s; samplesPerSecond = 192286.0
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.89986954 * 10240; FER = 0.29042969 * 10240; time = 0.0544s; samplesPerSecond = 188342.6
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.87606049 * 10240; FER = 0.28076172 * 10240; time = 0.0532s; samplesPerSecond = 192307.7
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.91827698 * 10240; FER = 0.29414062 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.90645065 * 10240; FER = 0.29443359 * 10240; time = 0.0534s; samplesPerSecond = 191785.4
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.90292435 * 10240; FER = 0.29150391 * 10240; time = 0.0533s; samplesPerSecond = 192019.2
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.90025635 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192640.5
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.90883179 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.90374298 * 10240; FER = 0.29550781 * 10240; time = 0.0534s; samplesPerSecond = 191886.1
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.89664459 * 10240; FER = 0.29179688 * 10240; time = 0.0530s; samplesPerSecond = 193182.0
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.89857178 * 10240; FER = 0.29208984 * 10240; time = 0.0532s; samplesPerSecond = 192521.0
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.90222473 * 10240; FER = 0.29375000 * 10240; time = 0.0535s; samplesPerSecond = 191301.7
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.90850677 * 10240; FER = 0.29111328 * 10240; time = 0.0535s; samplesPerSecond = 191473.4
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.91683502 * 10240; FER = 0.29814453 * 10240; time = 0.0544s; samplesPerSecond = 188228.4
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.91562195 * 10240; FER = 0.29492188 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.91502533 * 10240; FER = 0.29492188 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.89352722 * 10240; FER = 0.29101562 * 10240; time = 0.0531s; samplesPerSecond = 192978.2
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.90170288 * 10240; FER = 0.29570313 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:38:37:  Epoch[24 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.89770813 * 10240; FER = 0.29296875 * 10240; time = 0.0530s; samplesPerSecond = 193149.2
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.89911194 * 10240; FER = 0.29326172 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.91503754 * 10240; FER = 0.29667969 * 10240; time = 0.0529s; samplesPerSecond = 193411.9
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.91260986 * 10240; FER = 0.29902344 * 10240; time = 0.0530s; samplesPerSecond = 193225.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.91090698 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192528.2
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.90848083 * 10240; FER = 0.28906250 * 10240; time = 0.0533s; samplesPerSecond = 192102.1
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.90378418 * 10240; FER = 0.29804687 * 10240; time = 0.0532s; samplesPerSecond = 192647.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.92518921 * 10240; FER = 0.30068359 * 10240; time = 0.0531s; samplesPerSecond = 192778.3
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.90931396 * 10240; FER = 0.28837891 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.91799316 * 10240; FER = 0.29785156 * 10240; time = 0.0531s; samplesPerSecond = 192796.5
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.89491882 * 10240; FER = 0.28935547 * 10240; time = 0.0531s; samplesPerSecond = 192952.7
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.88516235 * 10240; FER = 0.28769531 * 10240; time = 0.0531s; samplesPerSecond = 193000.0
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.90261230 * 10240; FER = 0.29345703 * 10240; time = 0.0532s; samplesPerSecond = 192618.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.91649170 * 10240; FER = 0.29638672 * 10240; time = 0.0533s; samplesPerSecond = 192130.9
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.90277710 * 10240; FER = 0.29072266 * 10240; time = 0.0530s; samplesPerSecond = 193025.4
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.89885254 * 10240; FER = 0.29394531 * 10240; time = 0.0531s; samplesPerSecond = 192981.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.92083435 * 10240; FER = 0.30253906 * 10240; time = 0.0531s; samplesPerSecond = 192869.1
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.90737000 * 10240; FER = 0.29082031 * 10240; time = 0.0532s; samplesPerSecond = 192571.7
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.90900879 * 10240; FER = 0.29462891 * 10240; time = 0.0530s; samplesPerSecond = 193112.8
08/16/2016 10:38:38:  Epoch[24 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.89475098 * 10240; FER = 0.28896484 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.89453430 * 10240; FER = 0.29169922 * 10240; time = 0.0531s; samplesPerSecond = 192792.9
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.91207886 * 10240; FER = 0.29394531 * 10240; time = 0.0530s; samplesPerSecond = 193346.2
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90874329 * 10240; FER = 0.29511719 * 10240; time = 0.0529s; samplesPerSecond = 193419.2
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.89124146 * 10240; FER = 0.28632812 * 10240; time = 0.0531s; samplesPerSecond = 192960.0
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.89462280 * 10240; FER = 0.28808594 * 10240; time = 0.0531s; samplesPerSecond = 192676.8
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.89148865 * 10240; FER = 0.29267578 * 10240; time = 0.0532s; samplesPerSecond = 192405.3
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.89761047 * 10240; FER = 0.29296875 * 10240; time = 0.0533s; samplesPerSecond = 191954.4
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.89511414 * 10240; FER = 0.28945312 * 10240; time = 0.0531s; samplesPerSecond = 192840.1
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.90177307 * 10240; FER = 0.29521484 * 10240; time = 0.0534s; samplesPerSecond = 191735.2
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.89714050 * 10240; FER = 0.28632812 * 10240; time = 0.0530s; samplesPerSecond = 193331.6
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.92001343 * 10240; FER = 0.30224609 * 10240; time = 0.0537s; samplesPerSecond = 190582.5
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.92885132 * 10240; FER = 0.30166016 * 10240; time = 0.0547s; samplesPerSecond = 187220.0
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.88895874 * 10240; FER = 0.28818359 * 10240; time = 0.0547s; samplesPerSecond = 187346.8
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.92684326 * 10240; FER = 0.29960938 * 10240; time = 0.0534s; samplesPerSecond = 191817.8
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.89839478 * 10240; FER = 0.29375000 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.90426636 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192336.6
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.91651611 * 10240; FER = 0.29208984 * 10240; time = 0.0530s; samplesPerSecond = 193043.6
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.93446045 * 10240; FER = 0.30722656 * 10240; time = 0.0533s; samplesPerSecond = 192177.8
08/16/2016 10:38:39:  Epoch[24 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.91295776 * 10240; FER = 0.29521484 * 10240; time = 0.0532s; samplesPerSecond = 192412.5
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.90886841 * 10240; FER = 0.28779297 * 10240; time = 0.0533s; samplesPerSecond = 192257.1
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.90126343 * 10240; FER = 0.29414062 * 10240; time = 0.0530s; samplesPerSecond = 193105.5
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.90423584 * 10240; FER = 0.28896484 * 10240; time = 0.0532s; samplesPerSecond = 192495.7
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.93072510 * 10240; FER = 0.30400391 * 10240; time = 0.0534s; samplesPerSecond = 191925.6
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.91795044 * 10240; FER = 0.29775391 * 10240; time = 0.0533s; samplesPerSecond = 192066.0
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.91658936 * 10240; FER = 0.30185547 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.90043945 * 10240; FER = 0.29501953 * 10240; time = 0.0535s; samplesPerSecond = 191341.1
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.90399170 * 10240; FER = 0.29189453 * 10240; time = 0.0533s; samplesPerSecond = 192289.6
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.90731201 * 10240; FER = 0.30400391 * 10240; time = 0.0533s; samplesPerSecond = 192084.0
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.90325317 * 10240; FER = 0.29003906 * 10240; time = 0.0533s; samplesPerSecond = 192109.3
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.90280151 * 10240; FER = 0.29365234 * 10240; time = 0.0532s; samplesPerSecond = 192589.8
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.91224976 * 10240; FER = 0.29121094 * 10240; time = 0.0536s; samplesPerSecond = 190980.6
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.90214233 * 10240; FER = 0.29228516 * 10240; time = 0.0532s; samplesPerSecond = 192408.9
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.90137939 * 10240; FER = 0.29609375 * 10240; time = 0.0532s; samplesPerSecond = 192589.8
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.89853516 * 10240; FER = 0.29433594 * 10240; time = 0.0534s; samplesPerSecond = 191652.6
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.93157349 * 10240; FER = 0.30380859 * 10240; time = 0.0531s; samplesPerSecond = 192705.8
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.89901123 * 10240; FER = 0.28818359 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.92415161 * 10240; FER = 0.29599609 * 10240; time = 0.0531s; samplesPerSecond = 192992.7
08/16/2016 10:38:40:  Epoch[24 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.89477539 * 10240; FER = 0.28935547 * 10240; time = 0.0532s; samplesPerSecond = 192629.7
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.91892700 * 10240; FER = 0.29716797 * 10240; time = 0.0531s; samplesPerSecond = 192920.0
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.91469727 * 10240; FER = 0.29697266 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.91965942 * 10240; FER = 0.30634766 * 10240; time = 0.0530s; samplesPerSecond = 193189.3
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.92081299 * 10240; FER = 0.29599609 * 10240; time = 0.0531s; samplesPerSecond = 192752.9
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.90192261 * 10240; FER = 0.29140625 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.88928223 * 10240; FER = 0.28398438 * 10240; time = 0.0533s; samplesPerSecond = 191972.4
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.91048584 * 10240; FER = 0.29433594 * 10240; time = 0.0532s; samplesPerSecond = 192452.3
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.92185059 * 10240; FER = 0.30068359 * 10240; time = 0.0534s; samplesPerSecond = 191925.6
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.90096436 * 10240; FER = 0.28867188 * 10240; time = 0.0533s; samplesPerSecond = 192242.7
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.91863403 * 10240; FER = 0.29658203 * 10240; time = 0.0531s; samplesPerSecond = 192916.4
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.89267578 * 10240; FER = 0.29228516 * 10240; time = 0.0532s; samplesPerSecond = 192416.1
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.92183838 * 10240; FER = 0.29990234 * 10240; time = 0.0542s; samplesPerSecond = 189086.9
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.90916748 * 10240; FER = 0.29521484 * 10240; time = 0.0530s; samplesPerSecond = 193123.7
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.91499634 * 10240; FER = 0.29853516 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.91423340 * 10240; FER = 0.29472656 * 10240; time = 0.0531s; samplesPerSecond = 192825.5
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.92892456 * 10240; FER = 0.30117187 * 10240; time = 0.0534s; samplesPerSecond = 191584.5
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.91987305 * 10240; FER = 0.29951172 * 10240; time = 0.0531s; samplesPerSecond = 192851.0
08/16/2016 10:38:41:  Epoch[24 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.92014771 * 10240; FER = 0.29521484 * 10240; time = 0.0531s; samplesPerSecond = 192887.3
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.90515137 * 10240; FER = 0.29755859 * 10240; time = 0.0532s; samplesPerSecond = 192314.9
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.93993530 * 10240; FER = 0.29833984 * 10240; time = 0.0534s; samplesPerSecond = 191584.5
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.90125122 * 10240; FER = 0.29423828 * 10240; time = 0.0531s; samplesPerSecond = 192698.5
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.91188965 * 10240; FER = 0.29238281 * 10240; time = 0.0532s; samplesPerSecond = 192647.8
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.90661011 * 10240; FER = 0.29394531 * 10240; time = 0.0534s; samplesPerSecond = 191936.4
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.90722656 * 10240; FER = 0.29228516 * 10240; time = 0.0531s; samplesPerSecond = 192978.2
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.92111816 * 10240; FER = 0.29248047 * 10240; time = 0.0532s; samplesPerSecond = 192481.2
08/16/2016 10:38:42:  Epoch[24 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.90438843 * 10240; FER = 0.29482422 * 10240; time = 0.0534s; samplesPerSecond = 191857.3
08/16/2016 10:38:42: Finished Epoch[24 of 25]: [Training] CE.SM = 0.90775610 * 1124823; FER = 0.29440899 * 1124823; totalSamplesSeen = 26995752; learningRatePerSample = 7.8124998e-05; epochTime=6.03683s
08/16/2016 10:38:42: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn.24'

08/16/2016 10:38:42: 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

08/16/2016 10:38:42: Starting minibatch loop.
08/16/2016 10:38:42:  Epoch[25 of 25]-Minibatch[   1-  10, 0.91%]: CE.SM = 0.89972134 * 10240; FER = 0.29169922 * 10240; time = 0.0562s; samplesPerSecond = 182063.9
08/16/2016 10:38:42:  Epoch[25 of 25]-Minibatch[  11-  20, 1.82%]: CE.SM = 0.91530685 * 10240; FER = 0.29658203 * 10240; time = 0.0530s; samplesPerSecond = 193357.1
08/16/2016 10:38:42:  Epoch[25 of 25]-Minibatch[  21-  30, 2.73%]: CE.SM = 0.92783566 * 10240; FER = 0.30683594 * 10240; time = 0.0532s; samplesPerSecond = 192564.5
08/16/2016 10:38:42:  Epoch[25 of 25]-Minibatch[  31-  40, 3.64%]: CE.SM = 0.89650650 * 10240; FER = 0.28642578 * 10240; time = 0.0531s; samplesPerSecond = 192909.1
08/16/2016 10:38:42:  Epoch[25 of 25]-Minibatch[  41-  50, 4.56%]: CE.SM = 0.88771286 * 10240; FER = 0.29003906 * 10240; time = 0.0534s; samplesPerSecond = 191932.8
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[  51-  60, 5.47%]: CE.SM = 0.91974144 * 10240; FER = 0.29697266 * 10240; time = 0.0530s; samplesPerSecond = 193156.5
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[  61-  70, 6.38%]: CE.SM = 0.90740509 * 10240; FER = 0.29042969 * 10240; time = 0.0532s; samplesPerSecond = 192394.4
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[  71-  80, 7.29%]: CE.SM = 0.89759674 * 10240; FER = 0.28671875 * 10240; time = 0.0533s; samplesPerSecond = 191997.6
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[  81-  90, 8.20%]: CE.SM = 0.89614334 * 10240; FER = 0.28652344 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[  91- 100, 9.11%]: CE.SM = 0.90444489 * 10240; FER = 0.29130859 * 10240; time = 0.0533s; samplesPerSecond = 192293.2
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 101- 110, 10.02%]: CE.SM = 0.91383896 * 10240; FER = 0.29199219 * 10240; time = 0.0533s; samplesPerSecond = 192264.4
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 111- 120, 10.93%]: CE.SM = 0.91729050 * 10240; FER = 0.30253906 * 10240; time = 0.0532s; samplesPerSecond = 192423.3
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 121- 130, 11.85%]: CE.SM = 0.89927521 * 10240; FER = 0.29375000 * 10240; time = 0.0533s; samplesPerSecond = 192203.0
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 131- 140, 12.76%]: CE.SM = 0.91716766 * 10240; FER = 0.29980469 * 10240; time = 0.0532s; samplesPerSecond = 192542.7
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 141- 150, 13.67%]: CE.SM = 0.90090103 * 10240; FER = 0.29218750 * 10240; time = 0.0530s; samplesPerSecond = 193163.8
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 151- 160, 14.58%]: CE.SM = 0.88443909 * 10240; FER = 0.28095703 * 10240; time = 0.0531s; samplesPerSecond = 192785.6
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 161- 170, 15.49%]: CE.SM = 0.89459381 * 10240; FER = 0.29121094 * 10240; time = 0.0532s; samplesPerSecond = 192426.9
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 171- 180, 16.40%]: CE.SM = 0.90811005 * 10240; FER = 0.29697266 * 10240; time = 0.0537s; samplesPerSecond = 190667.7
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 181- 190, 17.31%]: CE.SM = 0.89259033 * 10240; FER = 0.28896484 * 10240; time = 0.0532s; samplesPerSecond = 192521.0
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 191- 200, 18.22%]: CE.SM = 0.91639709 * 10240; FER = 0.29570313 * 10240; time = 0.0533s; samplesPerSecond = 192105.7
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 201- 210, 19.13%]: CE.SM = 0.90463409 * 10240; FER = 0.29189453 * 10240; time = 0.0532s; samplesPerSecond = 192426.9
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 211- 220, 20.05%]: CE.SM = 0.90076904 * 10240; FER = 0.28886719 * 10240; time = 0.0532s; samplesPerSecond = 192390.8
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 221- 230, 20.96%]: CE.SM = 0.90664825 * 10240; FER = 0.29804687 * 10240; time = 0.0533s; samplesPerSecond = 192246.3
08/16/2016 10:38:43:  Epoch[25 of 25]-Minibatch[ 231- 240, 21.87%]: CE.SM = 0.89161377 * 10240; FER = 0.29052734 * 10240; time = 0.0534s; samplesPerSecond = 191699.3
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 241- 250, 22.78%]: CE.SM = 0.88276215 * 10240; FER = 0.28886719 * 10240; time = 0.0536s; samplesPerSecond = 190888.1
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 251- 260, 23.69%]: CE.SM = 0.90110626 * 10240; FER = 0.29375000 * 10240; time = 0.0532s; samplesPerSecond = 192401.6
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 261- 270, 24.60%]: CE.SM = 0.91585388 * 10240; FER = 0.29091797 * 10240; time = 0.0535s; samplesPerSecond = 191473.4
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 271- 280, 25.51%]: CE.SM = 0.90842590 * 10240; FER = 0.29033203 * 10240; time = 0.0531s; samplesPerSecond = 192738.4
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 281- 290, 26.42%]: CE.SM = 0.90373230 * 10240; FER = 0.29140625 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 291- 300, 27.33%]: CE.SM = 0.89689636 * 10240; FER = 0.29501953 * 10240; time = 0.0534s; samplesPerSecond = 191623.9
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 301- 310, 28.25%]: CE.SM = 0.90292053 * 10240; FER = 0.29736328 * 10240; time = 0.0532s; samplesPerSecond = 192531.9
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 311- 320, 29.16%]: CE.SM = 0.90486755 * 10240; FER = 0.29335937 * 10240; time = 0.0532s; samplesPerSecond = 192502.9
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 321- 330, 30.07%]: CE.SM = 0.91974182 * 10240; FER = 0.29980469 * 10240; time = 0.0531s; samplesPerSecond = 192716.7
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 331- 340, 30.98%]: CE.SM = 0.90760193 * 10240; FER = 0.29003906 * 10240; time = 0.0530s; samplesPerSecond = 193054.6
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 341- 350, 31.89%]: CE.SM = 0.90513611 * 10240; FER = 0.29785156 * 10240; time = 0.0537s; samplesPerSecond = 190777.8
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 351- 360, 32.80%]: CE.SM = 0.90313721 * 10240; FER = 0.29130859 * 10240; time = 0.0547s; samplesPerSecond = 187076.4
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 361- 370, 33.71%]: CE.SM = 0.90153198 * 10240; FER = 0.29169922 * 10240; time = 0.0599s; samplesPerSecond = 170820.4
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 371- 380, 34.62%]: CE.SM = 0.91202087 * 10240; FER = 0.29394531 * 10240; time = 0.0620s; samplesPerSecond = 165121.3
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 381- 390, 35.54%]: CE.SM = 0.90494080 * 10240; FER = 0.29384766 * 10240; time = 0.0621s; samplesPerSecond = 164988.3
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 391- 400, 36.45%]: CE.SM = 0.90543823 * 10240; FER = 0.29404297 * 10240; time = 0.0622s; samplesPerSecond = 164717.6
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 401- 410, 37.36%]: CE.SM = 0.91871338 * 10240; FER = 0.30029297 * 10240; time = 0.0620s; samplesPerSecond = 165291.9
08/16/2016 10:38:44:  Epoch[25 of 25]-Minibatch[ 411- 420, 38.27%]: CE.SM = 0.90429077 * 10240; FER = 0.28789063 * 10240; time = 0.0621s; samplesPerSecond = 164844.9
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 421- 430, 39.18%]: CE.SM = 0.90457764 * 10240; FER = 0.29150391 * 10240; time = 0.0608s; samplesPerSecond = 168529.2
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 431- 440, 40.09%]: CE.SM = 0.90563049 * 10240; FER = 0.29218750 * 10240; time = 0.0638s; samplesPerSecond = 160398.5
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 441- 450, 41.00%]: CE.SM = 0.88622742 * 10240; FER = 0.29199219 * 10240; time = 0.0633s; samplesPerSecond = 161805.1
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 451- 460, 41.91%]: CE.SM = 0.92112122 * 10240; FER = 0.30039063 * 10240; time = 0.0630s; samplesPerSecond = 162635.2
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 461- 470, 42.82%]: CE.SM = 0.88458252 * 10240; FER = 0.28681641 * 10240; time = 0.0638s; samplesPerSecond = 160466.4
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 471- 480, 43.74%]: CE.SM = 0.90603027 * 10240; FER = 0.29511719 * 10240; time = 0.0634s; samplesPerSecond = 161501.5
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 481- 490, 44.65%]: CE.SM = 0.91826172 * 10240; FER = 0.29765625 * 10240; time = 0.0634s; samplesPerSecond = 161481.1
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 491- 500, 45.56%]: CE.SM = 0.89557495 * 10240; FER = 0.29140625 * 10240; time = 0.0637s; samplesPerSecond = 160725.8
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 501- 510, 46.47%]: CE.SM = 0.89449768 * 10240; FER = 0.29306641 * 10240; time = 0.0638s; samplesPerSecond = 160466.4
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 511- 520, 47.38%]: CE.SM = 0.93176880 * 10240; FER = 0.30146484 * 10240; time = 0.0567s; samplesPerSecond = 180650.6
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 521- 530, 48.29%]: CE.SM = 0.92677917 * 10240; FER = 0.30146484 * 10240; time = 0.0557s; samplesPerSecond = 183723.3
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 531- 540, 49.20%]: CE.SM = 0.91750793 * 10240; FER = 0.30146484 * 10240; time = 0.0554s; samplesPerSecond = 184800.9
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 541- 550, 50.11%]: CE.SM = 0.90198975 * 10240; FER = 0.29179688 * 10240; time = 0.0571s; samplesPerSecond = 179221.5
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 551- 560, 51.03%]: CE.SM = 0.90118713 * 10240; FER = 0.29296875 * 10240; time = 0.0632s; samplesPerSecond = 162086.9
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 561- 570, 51.94%]: CE.SM = 0.92265015 * 10240; FER = 0.30185547 * 10240; time = 0.0631s; samplesPerSecond = 162356.7
08/16/2016 10:38:45:  Epoch[25 of 25]-Minibatch[ 571- 580, 52.85%]: CE.SM = 0.88269653 * 10240; FER = 0.28798828 * 10240; time = 0.0621s; samplesPerSecond = 164959.1
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 581- 590, 53.76%]: CE.SM = 0.91304321 * 10240; FER = 0.29423828 * 10240; time = 0.0556s; samplesPerSecond = 184043.6
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 591- 600, 54.67%]: CE.SM = 0.90759888 * 10240; FER = 0.29531250 * 10240; time = 0.0558s; samplesPerSecond = 183469.8
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 601- 610, 55.58%]: CE.SM = 0.90336914 * 10240; FER = 0.29882812 * 10240; time = 0.0584s; samplesPerSecond = 175327.5
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 611- 620, 56.49%]: CE.SM = 0.91889038 * 10240; FER = 0.30205078 * 10240; time = 0.0633s; samplesPerSecond = 161702.9
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 621- 630, 57.40%]: CE.SM = 0.92089233 * 10240; FER = 0.29853516 * 10240; time = 0.0634s; samplesPerSecond = 161590.7
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 631- 640, 58.31%]: CE.SM = 0.91374512 * 10240; FER = 0.29550781 * 10240; time = 0.0637s; samplesPerSecond = 160627.5
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 641- 650, 59.23%]: CE.SM = 0.88089600 * 10240; FER = 0.28310547 * 10240; time = 0.0634s; samplesPerSecond = 161575.4
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 651- 660, 60.14%]: CE.SM = 0.91087646 * 10240; FER = 0.29873047 * 10240; time = 0.0635s; samplesPerSecond = 161290.3
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 661- 670, 61.05%]: CE.SM = 0.90545044 * 10240; FER = 0.29482422 * 10240; time = 0.0668s; samplesPerSecond = 153226.9
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 671- 680, 61.96%]: CE.SM = 0.91484985 * 10240; FER = 0.30019531 * 10240; time = 0.0618s; samplesPerSecond = 165776.3
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 681- 690, 62.87%]: CE.SM = 0.90104980 * 10240; FER = 0.29355469 * 10240; time = 0.0563s; samplesPerSecond = 181873.1
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 691- 700, 63.78%]: CE.SM = 0.93778076 * 10240; FER = 0.30166016 * 10240; time = 0.0567s; samplesPerSecond = 180545.5
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 701- 710, 64.69%]: CE.SM = 0.91870117 * 10240; FER = 0.29433594 * 10240; time = 0.0576s; samplesPerSecond = 177867.3
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 711- 720, 65.60%]: CE.SM = 0.91137695 * 10240; FER = 0.29628906 * 10240; time = 0.0634s; samplesPerSecond = 161570.3
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 721- 730, 66.51%]: CE.SM = 0.89778442 * 10240; FER = 0.29492188 * 10240; time = 0.0633s; samplesPerSecond = 161864.0
08/16/2016 10:38:46:  Epoch[25 of 25]-Minibatch[ 731- 740, 67.43%]: CE.SM = 0.91163330 * 10240; FER = 0.29755859 * 10240; time = 0.0632s; samplesPerSecond = 161981.7
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 741- 750, 68.34%]: CE.SM = 0.91300049 * 10240; FER = 0.29550781 * 10240; time = 0.0633s; samplesPerSecond = 161825.6
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 751- 760, 69.25%]: CE.SM = 0.90020142 * 10240; FER = 0.28935547 * 10240; time = 0.0635s; samplesPerSecond = 161165.9
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 761- 770, 70.16%]: CE.SM = 0.89625244 * 10240; FER = 0.28964844 * 10240; time = 0.0630s; samplesPerSecond = 162645.5
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 771- 780, 71.07%]: CE.SM = 0.91488037 * 10240; FER = 0.29902344 * 10240; time = 0.0631s; samplesPerSecond = 162192.1
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 781- 790, 71.98%]: CE.SM = 0.90909424 * 10240; FER = 0.29248047 * 10240; time = 0.0631s; samplesPerSecond = 162230.7
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 791- 800, 72.89%]: CE.SM = 0.90684814 * 10240; FER = 0.29853516 * 10240; time = 0.0633s; samplesPerSecond = 161644.2
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 801- 810, 73.80%]: CE.SM = 0.92767944 * 10240; FER = 0.30048828 * 10240; time = 0.0628s; samplesPerSecond = 163091.1
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 811- 820, 74.72%]: CE.SM = 0.90059814 * 10240; FER = 0.29023437 * 10240; time = 0.0630s; samplesPerSecond = 162519.0
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 821- 830, 75.63%]: CE.SM = 0.90653687 * 10240; FER = 0.29462891 * 10240; time = 0.0639s; samplesPerSecond = 160360.8
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 831- 840, 76.54%]: CE.SM = 0.89530029 * 10240; FER = 0.28691406 * 10240; time = 0.0613s; samplesPerSecond = 167140.0
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 841- 850, 77.45%]: CE.SM = 0.90974121 * 10240; FER = 0.30019531 * 10240; time = 0.0598s; samplesPerSecond = 171108.7
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 851- 860, 78.36%]: CE.SM = 0.91713257 * 10240; FER = 0.29746094 * 10240; time = 0.0546s; samplesPerSecond = 187460.0
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 861- 870, 79.27%]: CE.SM = 0.90877686 * 10240; FER = 0.30029297 * 10240; time = 0.0533s; samplesPerSecond = 192091.2
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 871- 880, 80.18%]: CE.SM = 0.91623535 * 10240; FER = 0.29843750 * 10240; time = 0.0531s; samplesPerSecond = 192807.4
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 881- 890, 81.09%]: CE.SM = 0.88945312 * 10240; FER = 0.28964844 * 10240; time = 0.0533s; samplesPerSecond = 192242.7
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 891- 900, 82.00%]: CE.SM = 0.92853394 * 10240; FER = 0.30312500 * 10240; time = 0.0532s; samplesPerSecond = 192636.9
08/16/2016 10:38:47:  Epoch[25 of 25]-Minibatch[ 901- 910, 82.92%]: CE.SM = 0.90863037 * 10240; FER = 0.29404297 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 911- 920, 83.83%]: CE.SM = 0.93004150 * 10240; FER = 0.30195312 * 10240; time = 0.0533s; samplesPerSecond = 192268.0
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 921- 930, 84.74%]: CE.SM = 0.91095581 * 10240; FER = 0.29335937 * 10240; time = 0.0531s; samplesPerSecond = 192807.4
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 931- 940, 85.65%]: CE.SM = 0.88735352 * 10240; FER = 0.29316406 * 10240; time = 0.0533s; samplesPerSecond = 192156.1
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 941- 950, 86.56%]: CE.SM = 0.89913940 * 10240; FER = 0.29199219 * 10240; time = 0.0533s; samplesPerSecond = 192257.1
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 951- 960, 87.47%]: CE.SM = 0.91710815 * 10240; FER = 0.29775391 * 10240; time = 0.0532s; samplesPerSecond = 192318.5
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 961- 970, 88.38%]: CE.SM = 0.89813843 * 10240; FER = 0.29091797 * 10240; time = 0.0532s; samplesPerSecond = 192568.1
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 971- 980, 89.29%]: CE.SM = 0.90667114 * 10240; FER = 0.29863281 * 10240; time = 0.0535s; samplesPerSecond = 191484.2
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 981- 990, 90.21%]: CE.SM = 0.90664062 * 10240; FER = 0.29023437 * 10240; time = 0.0533s; samplesPerSecond = 192123.7
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[ 991-1000, 91.12%]: CE.SM = 0.89955444 * 10240; FER = 0.29179688 * 10240; time = 0.0533s; samplesPerSecond = 191958.0
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1001-1010, 92.03%]: CE.SM = 0.90297241 * 10240; FER = 0.29355469 * 10240; time = 0.0532s; samplesPerSecond = 192578.9
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1011-1020, 92.94%]: CE.SM = 0.90619507 * 10240; FER = 0.29072266 * 10240; time = 0.0533s; samplesPerSecond = 192094.8
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1021-1030, 93.85%]: CE.SM = 0.91156616 * 10240; FER = 0.29931641 * 10240; time = 0.0531s; samplesPerSecond = 192694.9
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1031-1040, 94.76%]: CE.SM = 0.91565552 * 10240; FER = 0.28691406 * 10240; time = 0.0533s; samplesPerSecond = 192199.4
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1041-1050, 95.67%]: CE.SM = 0.89960327 * 10240; FER = 0.28955078 * 10240; time = 0.0535s; samplesPerSecond = 191423.3
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1051-1060, 96.58%]: CE.SM = 0.91289062 * 10240; FER = 0.29433594 * 10240; time = 0.0532s; samplesPerSecond = 192365.5
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1061-1070, 97.49%]: CE.SM = 0.89173584 * 10240; FER = 0.29394531 * 10240; time = 0.0533s; samplesPerSecond = 192213.8
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1071-1080, 98.41%]: CE.SM = 0.90487671 * 10240; FER = 0.29062500 * 10240; time = 0.0534s; samplesPerSecond = 191922.0
08/16/2016 10:38:48:  Epoch[25 of 25]-Minibatch[1081-1090, 99.32%]: CE.SM = 0.90822144 * 10240; FER = 0.29541016 * 10240; time = 0.0533s; samplesPerSecond = 192286.0
08/16/2016 10:38:48: Finished Epoch[25 of 25]: [Training] CE.SM = 0.90657425 * 1124823; FER = 0.29418673 * 1124823; totalSamplesSeen = 28120575; learningRatePerSample = 7.8124998e-05; epochTime=6.45744s
08/16/2016 10:38:49: SGD: Saving checkpoint model '/tmp/cntk-test-20160816100054.995555/Examples/Speech/TIMIT_TrainMultiInput@release_gpu/exp/TrainMultiInput/model/cntkSpeech.dnn'
08/16/2016 10:38:49: CNTKCommandTrainEnd: TIMIT_TrainMultiInput

08/16/2016 10:38:49: Action "train" complete.

08/16/2016 10:38:49: __COMPLETED__