-
Notifications
You must be signed in to change notification settings - Fork 30
/
log_store.txt
223 lines (163 loc) · 10.5 KB
/
log_store.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
Iter: 0 Generator Loss: 26.7315 Discriminator Loss: 0.2568
Iter: 50 Generator Loss: 27.0556 Discriminator Loss: 0.2571
Iter: 100 Generator Loss: 24.5244 Discriminator Loss: 0.2455
Iter: 150 Generator Loss: 25.1674 Discriminator Loss: 0.2069
Epoch: 0 Generator Loss: 26.8925 Discriminator Loss: 0.20567816495895386, Time: 32.25
Iter: 162 Generator Loss: 23.5394 Discriminator Loss: 0.2032
Iter: 212 Generator Loss: 26.3088 Discriminator Loss: 0.1544
Iter: 0 Generator Loss: 23.6915 Discriminator Loss: 0.2520
Iter: 50 Generator Loss: 26.0097 Discriminator Loss: 0.2487
Iter: 100 Generator Loss: 26.3427 Discriminator Loss: 0.2366
Iter: 150 Generator Loss: 25.3274 Discriminator Loss: 0.2134
Epoch: 0 Generator Loss: 26.8591 Discriminator Loss: 0.20604395866394043, Time: 34.21
Iter: 162 Generator Loss: 24.9529 Discriminator Loss: 0.2060
Iter: 212 Generator Loss: 23.6489 Discriminator Loss: 0.1769
Iter: 262 Generator Loss: 23.7646 Discriminator Loss: 0.1708
Iter: 312 Generator Loss: 24.8514 Discriminator Loss: 0.1307
Epoch: 1 Generator Loss: 23.8755 Discriminator Loss: 0.13353511691093445, Time: 34.77
Iter: 324 Generator Loss: 22.0296 Discriminator Loss: 0.1379
Iter: 374 Generator Loss: 25.1033 Discriminator Loss: 0.1219
Iter: 424 Generator Loss: 23.8592 Discriminator Loss: 0.0920
Iter: 474 Generator Loss: 24.9656 Discriminator Loss: 0.0846
Epoch: 2 Generator Loss: 23.9157 Discriminator Loss: 0.08075457066297531, Time: 35.08
Iter: 486 Generator Loss: 24.9593 Discriminator Loss: 0.0808
Iter: 536 Generator Loss: 25.1172 Discriminator Loss: 0.0694
Iter: 586 Generator Loss: 24.2597 Discriminator Loss: 0.0664
Iter: 636 Generator Loss: 25.3826 Discriminator Loss: 0.0454
Epoch: 3 Generator Loss: 24.4113 Discriminator Loss: 0.06773345172405243, Time: 34.78
Iter: 648 Generator Loss: 23.0834 Discriminator Loss: 0.0636
Iter: 698 Generator Loss: 25.2559 Discriminator Loss: 0.0543
Iter: 748 Generator Loss: 24.6973 Discriminator Loss: 0.0588
Iter: 798 Generator Loss: 25.5233 Discriminator Loss: 0.0373
Epoch: 4 Generator Loss: 25.1043 Discriminator Loss: 0.02980145439505577, Time: 34.53
Iter: 810 Generator Loss: 26.5408 Discriminator Loss: 0.0315
Iter: 860 Generator Loss: 26.6924 Discriminator Loss: 0.0336
Iter: 910 Generator Loss: 27.5871 Discriminator Loss: 0.0263
Iter: 960 Generator Loss: 25.7496 Discriminator Loss: 0.0319
Epoch: 5 Generator Loss: 24.7929 Discriminator Loss: 0.018559008836746216, Time: 34.25
Iter: 972 Generator Loss: 24.1679 Discriminator Loss: 0.0265
Iter: 1022 Generator Loss: 26.4529 Discriminator Loss: 0.0276
Iter: 1072 Generator Loss: 25.2076 Discriminator Loss: 0.0182
Iter: 1122 Generator Loss: 26.9143 Discriminator Loss: 0.0208
Epoch: 6 Generator Loss: 24.6764 Discriminator Loss: 0.02253805100917816, Time: 34.87
Iter: 1134 Generator Loss: 26.6290 Discriminator Loss: 0.0218
Iter: 1184 Generator Loss: 24.3039 Discriminator Loss: 0.0192
Iter: 1234 Generator Loss: 24.3681 Discriminator Loss: 0.0248
Iter: 1284 Generator Loss: 25.7890 Discriminator Loss: 0.0121
Epoch: 7 Generator Loss: 23.9825 Discriminator Loss: 0.011451993137598038, Time: 34.04
Iter: 1296 Generator Loss: 24.5352 Discriminator Loss: 0.0092
Iter: 1346 Generator Loss: 25.8904 Discriminator Loss: 0.0455
Iter: 1396 Generator Loss: 26.9687 Discriminator Loss: 0.0212
Iter: 1446 Generator Loss: 26.4572 Discriminator Loss: 0.0194
Epoch: 8 Generator Loss: 24.8901 Discriminator Loss: 0.018645035102963448, Time: 34.75
Iter: 1458 Generator Loss: 24.7829 Discriminator Loss: 0.0160
Iter: 1508 Generator Loss: 25.3939 Discriminator Loss: 0.0155
Iter: 0 Generator Loss: 24.8988 Discriminator Loss: 0.2513
Iter: 50 Generator Loss: 27.4865 Discriminator Loss: 0.0730
Iter: 100 Generator Loss: 24.6510 Discriminator Loss: 0.0397
Iter: 150 Generator Loss: 27.0208 Discriminator Loss: 0.0236
Epoch: 0 Generator Loss: 24.3558 Discriminator Loss: 0.02132941223680973, Time: 57.05
Iter: 162 Generator Loss: 24.1527 Discriminator Loss: 0.0218
Iter: 212 Generator Loss: 24.8931 Discriminator Loss: 0.0155
Iter: 262 Generator Loss: 25.6910 Discriminator Loss: 0.0107
Iter: 312 Generator Loss: 27.0719 Discriminator Loss: 0.0083
Epoch: 1 Generator Loss: 26.2513 Discriminator Loss: 0.007786253932863474, Time: 56.89
Iter: 324 Generator Loss: 26.8265 Discriminator Loss: 0.0082
Iter: 374 Generator Loss: 25.8815 Discriminator Loss: 0.0062
Iter: 0 Generator Loss: 28.6001 Discriminator Loss: 0.5400
Iter: 50 Generator Loss: 26.6001 Discriminator Loss: 0.2043
Iter: 100 Generator Loss: 27.1650 Discriminator Loss: 0.1018
Iter: 150 Generator Loss: 29.0117 Discriminator Loss: 0.0583
Epoch: 0 Generator Loss: 26.9155 Discriminator Loss: 0.07131430506706238, Time: 57.34
Iter: 162 Generator Loss: 27.3230 Discriminator Loss: 0.0936
Iter: 212 Generator Loss: 24.7270 Discriminator Loss: 0.0613
Iter: 262 Generator Loss: 29.3712 Discriminator Loss: 0.1034
Iter: 312 Generator Loss: 29.5765 Discriminator Loss: 0.0903
Epoch: 1 Generator Loss: 31.5261 Discriminator Loss: 0.12426985800266266, Time: 57.38
Iter: 324 Generator Loss: 27.4397 Discriminator Loss: 0.0697
Iter: 374 Generator Loss: 31.4686 Discriminator Loss: 0.0614
Iter: 424 Generator Loss: 27.0700 Discriminator Loss: 0.0588
Iter: 474 Generator Loss: 30.3983 Discriminator Loss: 0.1114
Epoch: 2 Generator Loss: 28.2570 Discriminator Loss: 0.13921964168548584, Time: 57.33
Iter: 486 Generator Loss: 29.5902 Discriminator Loss: 0.0834
Iter: 536 Generator Loss: 26.7946 Discriminator Loss: 0.0354
Iter: 586 Generator Loss: 25.5295 Discriminator Loss: 0.0583
Iter: 636 Generator Loss: 26.7811 Discriminator Loss: 0.0109
Epoch: 3 Generator Loss: 27.5321 Discriminator Loss: 0.013239676132798195, Time: 57.79
Iter: 648 Generator Loss: 27.7348 Discriminator Loss: 0.0077
Iter: 698 Generator Loss: 26.7191 Discriminator Loss: 0.0071
Iter: 748 Generator Loss: 25.1523 Discriminator Loss: 0.0206
Iter: 798 Generator Loss: 25.5792 Discriminator Loss: 0.0094
Epoch: 4 Generator Loss: 26.5077 Discriminator Loss: 0.009847738780081272, Time: 57.49
Iter: 810 Generator Loss: 29.0041 Discriminator Loss: 0.0123
Iter: 860 Generator Loss: 24.5779 Discriminator Loss: 0.0087
Iter: 910 Generator Loss: 27.4740 Discriminator Loss: 0.0113
Iter: 960 Generator Loss: 26.9845 Discriminator Loss: 0.0101
Epoch: 5 Generator Loss: 25.9680 Discriminator Loss: 0.010994352400302887, Time: 57.96
Iter: 972 Generator Loss: 25.3195 Discriminator Loss: 0.0070
Iter: 1022 Generator Loss: 25.9473 Discriminator Loss: 0.0043
Iter: 1072 Generator Loss: 27.1810 Discriminator Loss: 0.0043
Iter: 1122 Generator Loss: 27.9954 Discriminator Loss: 0.0118
Epoch: 6 Generator Loss: 25.2341 Discriminator Loss: 0.005406282376497984, Time: 57.73
Iter: 1134 Generator Loss: 26.8316 Discriminator Loss: 0.0097
Iter: 0 Generator Loss: 23.6263 Discriminator Loss: 0.2504
Iter: 0 Generator Loss: 26.1882 Discriminator Loss: 0.2512
Iter: 50 Generator Loss: 25.2513 Discriminator Loss: 0.0810
Iter: 100 Generator Loss: 24.0457 Discriminator Loss: 0.0413
Iter: 150 Generator Loss: 25.9356 Discriminator Loss: 0.0233
Epoch: 0 Generator Loss: 24.9281 Discriminator Loss: 0.021725289523601532, Time: 55.18
Iter: 162 Generator Loss: 25.4826 Discriminator Loss: 0.0220
Iter: 212 Generator Loss: 26.1998 Discriminator Loss: 0.0148
Iter: 262 Generator Loss: 25.0313 Discriminator Loss: 0.0110
Iter: 312 Generator Loss: 26.5635 Discriminator Loss: 0.0087
Epoch: 1 Generator Loss: 23.6618 Discriminator Loss: 0.008148206397891045, Time: 54.54
Iter: 324 Generator Loss: 28.0705 Discriminator Loss: 0.0078
Iter: 374 Generator Loss: 26.8061 Discriminator Loss: 0.0064
Iter: 424 Generator Loss: 26.7704 Discriminator Loss: 0.0049
Iter: 474 Generator Loss: 25.8157 Discriminator Loss: 0.0041
Epoch: 2 Generator Loss: 25.2514 Discriminator Loss: 0.004075998440384865, Time: 54.88
Iter: 486 Generator Loss: 26.5340 Discriminator Loss: 0.0042
Iter: 536 Generator Loss: 25.0236 Discriminator Loss: 0.0034
Iter: 586 Generator Loss: 25.1114 Discriminator Loss: 0.0029
Iter: 636 Generator Loss: 25.4468 Discriminator Loss: 0.0024
Epoch: 3 Generator Loss: 25.4347 Discriminator Loss: 0.0023197561968117952, Time: 54.21
Iter: 648 Generator Loss: 26.9325 Discriminator Loss: 0.0023
Iter: 698 Generator Loss: 25.8713 Discriminator Loss: 0.0021
Iter: 748 Generator Loss: 26.4347 Discriminator Loss: 0.0018
Iter: 798 Generator Loss: 26.8624 Discriminator Loss: 0.0016
Epoch: 4 Generator Loss: 26.1218 Discriminator Loss: 0.0015582337509840727, Time: 54.78
Iter: 810 Generator Loss: 26.5428 Discriminator Loss: 0.0015
Iter: 860 Generator Loss: 24.8325 Discriminator Loss: 0.0014
Iter: 910 Generator Loss: 25.5002 Discriminator Loss: 0.0013
Iter: 960 Generator Loss: 24.5958 Discriminator Loss: 0.0011
Epoch: 5 Generator Loss: 25.9767 Discriminator Loss: 0.0010938927298411727, Time: 56.03
Iter: 972 Generator Loss: 25.4257 Discriminator Loss: 0.0011
Iter: 1022 Generator Loss: 25.4716 Discriminator Loss: 0.0010
Iter: 1072 Generator Loss: 25.7190 Discriminator Loss: 0.0009
Iter: 1122 Generator Loss: 25.5106 Discriminator Loss: 0.0008
Epoch: 6 Generator Loss: 24.0531 Discriminator Loss: 0.0008240631432272494, Time: 54.70
Iter: 1134 Generator Loss: 24.5238 Discriminator Loss: 0.0008
Iter: 1184 Generator Loss: 25.5578 Discriminator Loss: 0.0007
Iter: 1234 Generator Loss: 26.8256 Discriminator Loss: 0.0007
Iter: 1284 Generator Loss: 25.4754 Discriminator Loss: 0.0006
Epoch: 7 Generator Loss: 26.5453 Discriminator Loss: 0.0006017656996846199, Time: 54.94
Iter: 1296 Generator Loss: 24.9646 Discriminator Loss: 0.0006
Iter: 1346 Generator Loss: 26.9983 Discriminator Loss: 0.0006
Iter: 1396 Generator Loss: 25.6558 Discriminator Loss: 0.0006
Iter: 1446 Generator Loss: 27.4899 Discriminator Loss: 0.0005
Epoch: 8 Generator Loss: 24.9153 Discriminator Loss: 0.00048486440209671855, Time: 55.17
Iter: 1458 Generator Loss: 26.7841 Discriminator Loss: 0.0005
Iter: 1508 Generator Loss: 24.8424 Discriminator Loss: 0.0005
Iter: 1558 Generator Loss: 26.8017 Discriminator Loss: 0.0004
Iter: 0 Generator Loss: 29.2041 Discriminator Loss: 0.5203
Iter: 50 Generator Loss: 27.5115 Discriminator Loss: 0.1292
Iter: 100 Generator Loss: 31.1783 Discriminator Loss: 0.0613
Iter: 150 Generator Loss: 24.8649 Discriminator Loss: 0.1205
Epoch: 0 Generator Loss: 28.0038 Discriminator Loss: 0.08909539878368378, Time: 54.41
Iter: 162 Generator Loss: 27.7776 Discriminator Loss: 0.0567
Iter: 212 Generator Loss: 27.4840 Discriminator Loss: 0.0502
Iter: 262 Generator Loss: 25.4547 Discriminator Loss: 0.0858
Iter: 312 Generator Loss: 27.7585 Discriminator Loss: 0.0704
Epoch: 1 Generator Loss: 27.2997 Discriminator Loss: 0.06171578913927078, Time: 55.26
Iter: 324 Generator Loss: 24.5035 Discriminator Loss: 0.0548
Iter: 374 Generator Loss: 28.0665 Discriminator Loss: 0.0376