Commit 5b003068 authored by Luca Pasa's avatar Luca Pasa
Browse files

Results banks GRID_100 LER

parent 199977d3
test_name: MULTI_GRID_100_Spectro_Concat_DAE_4_speech_Test_lr-0.001_batch_size-18_n_hidden_encode-150
2018-06-04 17:56:46.681028
#epoch LER cost time
1 6.11390162 752.66064453 2.72903299
10 0.48151237 22.37368728 1187.77464414
20 0.40889546 16.72264758 1193.22631693
30 0.38645720 13.15053183 1204.67133117
40 0.37051758 11.06235516 1209.18543315
50 0.36944863 9.66730896 1212.48141408
60 0.35722092 8.93975645 1214.66087794
70 0.35456488 8.65906211 1198.40300488
80 0.35171100 8.53090086 1199.86750197
90 0.34688574 7.91193883 1204.84613895
100 0.34637764 7.70476077 1200.35018682
110 0.34485412 7.72305082 1243.40293694
120 0.34156668 7.48693594 1489.17251706
130 0.34184080 7.21459005 1206.42036414
140 0.34103695 7.21997778 1207.70614409
150 0.33922437 6.97683657 1207.02967501
test_name: MULTI_GRID_100_Spectro_Concat_DAE_4_speech_Test_lr-0.001_batch_size-18_n_hidden_encode-150
2018-06-04 17:56:46.680985
#epoch LER cost time
1 6.13865852 752.66064453 2.72903299
10 0.41742522 22.37368728 1187.77464414
20 0.29864463 16.72264758 1193.22631693
30 0.24121702 13.15053183 1204.67133117
40 0.19734623 11.06235516 1209.18543315
50 0.19870420 9.66730896 1212.48141408
60 0.16646095 8.93975645 1214.66087794
70 0.16126901 8.65906211 1198.40300488
80 0.15491793 8.53090086 1199.86750197
90 0.15691857 7.91193883 1204.84613895
100 0.15350933 7.70476077 1200.35018682
110 0.15210190 7.72305082 1243.40293694
120 0.14844687 7.48693594 1489.17251706
130 0.14892164 7.21459005 1206.42036414
140 0.14867158 7.21997778 1207.70614409
150 0.14663187 6.97683657 1207.02967501
test_name: MULTI_GRID_100_Spectro_Concat_DAE_4_speech_Test_lr-0.001_batch_size-18_n_hidden_encode-150
2018-06-04 17:56:46.681044
#epoch LER cost time
1 6.11629105 752.66064453 2.72903299
10 0.48333302 22.37368728 1187.77464414
20 0.41258490 16.72264758 1193.22631693
30 0.38830066 13.15053183 1204.67133117
40 0.37055376 11.06235516 1209.18543315
50 0.37232542 9.66730896 1212.48141408
60 0.35927060 8.93975645 1214.66087794
70 0.35495505 8.65906211 1198.40300488
80 0.35057622 8.53090086 1199.86750197
90 0.35038999 7.91193883 1204.84613895
100 0.34820536 7.70476077 1200.35018682
110 0.34774148 7.72305082 1243.40293694
120 0.34509006 7.48693594 1489.17251706
130 0.34403187 7.21459005 1206.42036414
140 0.34370130 7.21997778 1207.70614409
150 0.34199405 6.97683657 1207.02967501
......@@ -7,8 +7,8 @@ from Data.Data_reader import DatabaseMultiSpeechReader as Data
import numpy as np
generated_dataset_folder="./gd/TRAIN/"
data_set_path = "/home/storage/Data/MULTI_GRID/multiModalTfRec/TRAIN_CTC_SENTENCES/"
generated_dataset_folder="/home/storage/Data/MULTI_GRID_100/gd/TRAIN/"
data_set_path = "/home/storage/Data/MULTI_GRID_100/multiModalTfRec/TRAIN_CTC_SENTENCES/"
from Model.DAE.Baseline_Models.Concat_DAE_4_speech import DAE_4_speech
......@@ -70,11 +70,11 @@ def get_output(sess, model, input_audio, input_video, input_len):
return model_out
if __name__ == '__main__':
num_epochs = 500
batch_size = 30
nIn_audio = 257
num_epochs = 120
batch_size = 15
nIn_audio = 123
nIn_video = 134
nHidden = [500,600]
nHidden = [123,500,600]
nHidden_encode = 750
learningRate = 0.001
traininglog_dir = "./"
......
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