mask-ddpm/example/results/train_log.csv

1	epoch	step	loss	loss_cont	loss_disc	loss_quantile
2	0	0	11527.750000	16467.474609	1.724242	0.113109
3	0	10	8955.048828	12792.469727	1.065955	0.142707
4	0	20	123049.507812	175784.562500	1.048191	0.181546
5	0	30	30947.671875	44210.511719	1.034107	0.224363
6	0	40	11166.339844	15951.691406	0.512211	0.163978
7	0	50	14919.276367	21313.089844	0.369016	0.101041
8	1	0	1113425.000000	1590606.875000	0.667305	0.236102
9	1	10	38804.527344	55433.980469	2.453400	0.238323
10	1	20	138075.984375	197251.281250	0.288013	0.157941
11	1	30	56904.078125	81291.343750	0.429261	0.174654
12	1	40	10662.019531	15231.303711	0.343701	0.079876
13	1	50	9890.013672	14128.458008	0.292848	0.088391
14	2	0	912398.500000	1303426.125000	0.795286	0.256503
15	2	10	12546.185547	17922.542969	1.328752	0.110444
16	2	20	109676.710938	156680.906250	0.245523	0.132549
17	2	30	49427.507812	70610.578125	0.327188	0.088591
18	2	40	27778.673828	39683.660156	0.345683	0.102361
19	2	50	10311.509766	14730.566406	0.350199	0.091674
20	3	0	1040308.062500	1486154.000000	0.807157	0.279805
21	3	10	64799.246094	92570.117188	0.485949	0.198213
22	3	20	336018.000000	480025.531250	0.410466	0.118048
23	3	30	94216.312500	134594.562500	0.355044	0.114209
24	3	40	19988.919922	28555.457031	0.298066	0.094291
25	3	50	9181.969727	13116.940430	0.326489	0.137392
26	4	0	741176.187500	1058822.750000	0.850633	0.233118
27	4	10	39252.617188	56074.410156	1.690607	0.227370
28	4	20	108992.304688	155703.140625	0.258920	0.285944
29	4	30	37115.253906	53021.632812	0.337674	0.131537
30	4	40	19358.708984	27655.123047	0.349937	0.169446
31	4	50	11434.291992	16334.540039	0.351904	0.089116
32	5	0	845658.312500	1208083.000000	0.922483	0.285983
33	5	10	130569.406250	186527.515625	0.405198	0.227639
34	5	20	245780.390625	351114.687500	0.301236	0.147030
35	5	30	42017.671875	60025.066406	0.372036	0.117895
36	5	40	11496.740234	16423.779297	0.286911	0.085701
37	5	50	8891.728516	12702.317383	0.322913	0.099181
38	6	0	617909.687500	882727.812500	0.834663	0.205251
39	6	10	18171.734375	25959.302734	0.677465	0.190570
40	6	20	423716.187500	605308.687500	0.464189	0.156125
41	6	30	48133.507812	68761.914062	0.478786	0.221465
42	6	40	20350.281250	29071.666016	0.343182	0.118739
43	6	50	11372.219727	16245.889648	0.289177	0.101218
44	7	0	534133.500000	763047.500000	0.732465	0.239962
45	7	10	19025.574219	27178.703125	1.551094	0.183023
46	7	20	58042.757812	82918.078125	0.298854	0.146532
47	7	30	11810.656250	16872.201172	0.353035	0.092791
48	7	40	9733.656250	13905.077148	0.312043	0.089972
49	7	50	9069.159180	12955.803711	0.280795	0.129749
50	8	0	650366.937500	929095.250000	0.787194	0.263791
51	8	10	13121.248047	18744.031250	1.376233	0.141053
52	8	20	19326.507812	27609.167969	0.243424	0.183426
53	8	30	12904.376953	18434.667969	0.334577	0.092547
54	8	40	9682.833984	13832.478516	0.296229	0.109518
55	8	50	8866.144531	12665.773438	0.312481	0.099564
56	9	0	265689.562500	379556.156250	0.738840	0.186122
57	9	10	9944.607422	14206.222656	0.806142	0.096763
58	9	20	22091.175781	31558.679688	0.285403	0.131950
59	9	30	19346.830078	27638.111328	0.460825	0.131496
60	9	40	10279.702148	14685.139648	0.314872	0.095758
61	9	50	10420.340820	14886.050781	0.314008	0.112904