mask-ddpm/example/results/train_log.csv

1	epoch	step	loss	loss_cont	loss_disc
2	0	0	9801.645508	14001.333008	1.724242
3	0	10	8648.753906	12354.557617	1.050417
4	0	20	6286.167480	8979.179688	0.775981
5	0	30	6297.359375	8995.274414	0.598672
6	0	40	6953.571289	9932.811523	0.402265
7	0	50	5424.526855	7748.514160	0.340582
8	1	0	17800.640625	25428.843750	0.519747
9	1	10	9939.250977	14198.417969	0.343056
10	1	20	4974.197754	7105.227539	0.211707
11	1	30	5463.194824	7803.769043	0.329701
12	1	40	4324.631348	6177.318359	0.293905
13	1	50	4046.199707	5779.564941	0.276044
14	2	0	15467.764648	22096.150391	0.564124
15	2	10	7146.419434	10208.712891	0.314471
16	2	20	5792.232422	8273.794922	0.202803
17	2	30	4184.514160	5977.152344	0.308605
18	2	40	3683.652344	5261.627441	0.295088
19	2	50	3847.852295	5496.241211	0.298570
20	3	0	15298.166016	21853.927734	0.546051
21	3	10	5180.031250	7399.642578	0.307531
22	3	20	4542.523926	6488.400879	0.309543
23	3	30	3677.723877	5253.100098	0.382187
24	3	40	3390.495605	4842.778809	0.282848
25	3	50	3529.083984	5040.805664	0.294322
26	4	0	14632.495117	20902.976562	0.548208
27	4	10	10205.823242	14579.279297	0.359179
28	4	20	4333.018066	6189.319824	0.188001
29	4	30	3423.444336	4889.942383	0.309461
30	4	40	3474.843018	4963.380859	0.289691
31	4	50	2808.380615	4011.301270	0.295505
32	5	0	12855.440430	18364.394531	0.511693
33	5	10	5029.373535	7184.408691	0.312978
34	5	20	3587.488037	5124.273438	0.240948
35	5	30	3527.654785	5038.819824	0.320213
36	5	40	3269.149414	4669.565430	0.270011
37	5	50	2967.330566	4238.372559	0.285904
38	6	0	12980.448242	18542.851562	0.522880
39	6	10	4694.814453	6706.399902	0.302162
40	6	20	3500.672119	5000.198730	0.286830
41	6	30	3212.191406	4588.181152	0.304900
42	6	40	3307.898193	4724.925293	0.267466
43	6	50	3085.380859	4407.030273	0.265367
44	7	0	4270.843262	6100.737793	0.471359
45	7	10	4797.216309	6852.770020	0.320178
46	7	20	3258.792969	4654.722168	0.244809
47	7	30	3169.457031	4527.143555	0.293432
48	7	40	2939.750488	4198.982910	0.287075
49	7	50	2996.508301	4280.066895	0.251909
50	8	0	5548.325195	7925.604492	0.489300
51	8	10	4157.997559	5939.641113	0.304927
52	8	20	3767.288330	5381.098145	0.210738
53	8	30	2840.536377	4057.270020	0.276704
54	8	40	3035.344727	4335.562500	0.257632
55	8	50	3004.891357	4292.053223	0.266179
56	9	0	3490.820312	4986.386719	0.471640
57	9	10	4166.912598	5952.338379	0.343747
58	9	20	3064.893555	4377.696777	0.228080
59	9	30	2888.233154	4125.366699	0.271929
60	9	40	2755.770752	3936.188721	0.260033
61	9	50	2579.736084	3684.677002	0.268067