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JaesungBae / Speech-Command-Recognition-with-Capsule-Network

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
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The accuracy of baseline CNN model remain very low. #2

Closed Huhanlin closed 5 years ago

Huhanlin commented 5 years ago

After I run the code: python main.py --model='CNN' --ex_name='ref_2015is_cnn' --is_training='TRAIN' --model_size_info 21 8 94 1 1 2 3 6 4 94 1 1 1 1 32

Here's the result cat KWS/save/CNN/ref_2015is_cnn_clean_clean/log.csv epoch,acc,loss,val_acc,val_loss 0,0.0352528969621,3.3952801742,0.0347160929751,3.38853546625 1,0.0358401190103,3.39308315977,0.0347160929751,3.38782089975 2,0.0346265267773,3.39311181181,0.0347160929751,3.38773612234 3,0.0336673974319,3.39305867142,0.0338334804354,3.38793892052 4,0.0346265267773,3.39307627729,0.0385407472786,3.38806093325 5,0.0359967115565,3.39306007393,0.038687849374,3.38764988573 6,0.0349788600063,3.39303597402,0.0385407472786,3.3879062811 7,0.0343720638898,3.39304099634,0.0364813180479,3.38780447545 8,0.0352137488256,3.39308122203,0.0376581347455,3.38781898111 9,0.0341958972753,3.39309233033,0.036187113857,3.38771080178

Which is really confusing me, could u please give me some help?

Huhanlin commented 5 years ago

Sry about the question, it's the learning rate... After I adjust the learning rate to 0.00001, it works out well.