mask-ddpm/example/results/train_log.csv

1	epoch	step	loss	loss_cont	loss_disc
2	0	0	11167.695312	15953.111328	1.724242
3	0	10	9087.185547	12981.238281	1.064673
4	0	20	8013.873047	11448.066406	0.754843
5	0	30	7750.469238	11071.843750	0.595490
6	0	40	7318.491699	10454.799805	0.439722
7	0	50	6203.619629	8862.157227	0.365653
8	1	0	6193.139160	8847.107422	0.546190
9	1	10	5310.143066	7585.783203	0.315335
10	1	20	4997.141602	7138.669434	0.244063
11	1	30	5102.173828	7288.673340	0.341697
12	1	40	4889.704590	6985.163574	0.301696
13	1	50	4464.582031	6377.856445	0.275643
14	2	0	4263.960938	6091.127441	0.572437
15	2	10	4512.501953	6446.293945	0.321264
16	2	20	3771.830566	5388.239258	0.210747
17	2	30	4168.801758	5955.297852	0.310156
18	2	40	3893.949707	5562.653809	0.307125
19	2	50	3592.934082	5132.634277	0.299983
20	3	0	3630.500732	5186.204590	0.524986
21	3	10	4294.888672	6135.428223	0.295987
22	3	20	4014.402344	5734.780273	0.187329
23	3	30	3350.504395	4786.301758	0.310899
24	3	40	3594.643799	5135.087891	0.274148
25	3	50	3021.600830	4316.448730	0.288729
26	4	0	3652.151123	5217.125488	0.544297
27	4	10	3424.859375	4892.513672	0.332935
28	4	20	3616.758301	5166.715820	0.191626
29	4	30	3917.766602	5596.676758	0.310133
30	4	40	3198.908691	4569.743652	0.293973
31	4	50	3620.363525	5171.822754	0.292025
32	5	0	3905.391113	5578.920898	0.488646
33	5	10	3736.691650	5338.013184	0.275286
34	5	20	3246.106445	4637.198730	0.224402
35	5	30	3043.803467	4348.147949	0.333001
36	5	40	3140.492920	4486.295898	0.286265
37	5	50	3297.937744	4711.217285	0.285744
38	6	0	3736.930664	5338.267090	0.479558
39	6	10	3255.724609	4650.906250	0.300728
40	6	20	3049.013916	4355.632324	0.237928
41	6	30	3393.649902	4847.937988	0.310594
42	6	40	3115.019531	4449.909180	0.277703
43	6	50	3112.252197	4445.961914	0.262911
44	7	0	3641.770020	5202.332520	0.457427
45	7	10	3153.711182	4505.169434	0.308097
46	7	20	3340.833008	4772.514160	0.244215
47	7	30	3104.038330	4434.214355	0.294671
48	7	40	2953.430176	4219.063965	0.284970
49	7	50	2742.062988	3917.124512	0.252722
50	8	0	3295.310303	4707.383789	0.471809
51	8	10	3437.480713	4910.552246	0.314371
52	8	20	2814.868652	4021.159180	0.191010
53	8	30	3298.100830	4711.456543	0.271321
54	8	40	3101.292236	4430.304199	0.264610
55	8	50	3019.903809	4314.035645	0.263237
56	9	0	3331.924805	4759.682617	0.489816
57	9	10	3607.728760	5153.762695	0.316371
58	9	20	3083.686768	4405.178711	0.206150
59	9	30	2969.860840	4242.547852	0.257607
60	9	40	3160.122314	4514.349609	0.258729
61	9	50	3079.660156	4399.401367	0.264233