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  1. 102flowers/pixart_sigma/Baseline/model_index.json +24 -0
  2. 102flowers/pixart_sigma/Baseline/training.log +268 -0
  3. 102flowers/pixart_sigma/Baseline/training_args.json +41 -0
  4. 102flowers/pixart_sigma/Baseline/training_summary.json +7 -0
  5. 102flowers/pixart_sigma/RAD/model_index.json +24 -0
  6. 102flowers/pixart_sigma/RAD/training.log +304 -0
  7. 102flowers/pixart_sigma/RAD/training_args.json +49 -0
  8. 102flowers/pixart_sigma/RAD/training_summary.json +7 -0
  9. 102flowers/pixart_sigma/SRA/model_index.json +24 -0
  10. 102flowers/pixart_sigma/SRA/training.log +276 -0
  11. 102flowers/pixart_sigma/SRA/training_args.json +53 -0
  12. 102flowers/pixart_sigma/SRA/training_summary.json +7 -0
  13. 102flowers/pixart_sigma/SpeeD/model_index.json +24 -0
  14. 102flowers/pixart_sigma/SpeeD/training.log +270 -0
  15. 102flowers/pixart_sigma/SpeeD/training_args.json +45 -0
  16. 102flowers/pixart_sigma/SpeeD/training_summary.json +7 -0
  17. 102flowers/pixart_sigma/TD/model_index.json +24 -0
  18. 102flowers/pixart_sigma/TD/tokenizer/tokenizer.json +0 -0
  19. 102flowers/pixart_sigma/TD/tokenizer/tokenizer_config.json +117 -0
  20. 102flowers/pixart_sigma/TD/training.log +470 -0
  21. 102flowers/pixart_sigma/TD/training_args.json +53 -0
  22. 102flowers/pixart_sigma/TD/training_summary.json +7 -0
  23. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000006.png +3 -0
  24. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000007.png +3 -0
  25. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000015.png +3 -0
  26. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000048.png +3 -0
  27. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000049.png +3 -0
  28. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000053.png +3 -0
  29. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000058.png +3 -0
  30. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000059.png +3 -0
  31. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000065.png +3 -0
  32. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000066.png +3 -0
  33. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000070.png +3 -0
  34. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000086.png +3 -0
  35. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000093.png +3 -0
  36. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000106.png +3 -0
  37. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000107.png +3 -0
  38. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000109.png +3 -0
  39. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000110.png +3 -0
  40. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000118.png +3 -0
  41. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000127.png +3 -0
  42. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000151.png +3 -0
  43. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000154.png +3 -0
  44. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000155.png +3 -0
  45. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000165.png +3 -0
  46. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000171.png +3 -0
  47. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000177.png +3 -0
  48. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000197.png +3 -0
  49. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000204.png +3 -0
  50. 102flowers/sana 0.6/Baseline/Eval/generated_images/rank_0/000223.png +3 -0
102flowers/pixart_sigma/Baseline/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtSigmaPipeline",
3
+ "_diffusers_version": "0.37.1",
4
+ "scheduler": [
5
+ "diffusers",
6
+ "DPMSolverMultistepScheduler"
7
+ ],
8
+ "text_encoder": [
9
+ "transformers",
10
+ "T5EncoderModel"
11
+ ],
12
+ "tokenizer": [
13
+ "transformers",
14
+ "T5Tokenizer"
15
+ ],
16
+ "transformer": [
17
+ "diffusers",
18
+ "PixArtTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderKL"
23
+ ]
24
+ }
102flowers/pixart_sigma/Baseline/training.log ADDED
@@ -0,0 +1,268 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-17 14:40:46
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [14:40:46] Run directory: RESULTS/102flowers/run_018
6
+ [14:40:46] Loading PixArt-Sigma components ...
7
+ [14:41:18] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [14:41:18] Building dataset ...
9
+ [14:41:25]
10
+ [14:41:25] ================================================================
11
+ [14:41:25] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
12
+ [14:41:25] Output dir = RESULTS/102flowers/run_018
13
+ [14:41:25] Num examples = 28660
14
+ [14:41:25] Num epochs = 3
15
+ [14:41:25] Batch/device = 8
16
+ [14:41:25] Grad accum = 1
17
+ [14:41:25] Effective BS = 8
18
+ [14:41:25] Total optim steps = 10000
19
+ [14:41:25] LR = 2e-05
20
+ [14:41:25] Precision = bf16
21
+ [14:41:25] Resolution = 512x512
22
+ [14:41:25] Max seq length = 300
23
+ [14:41:25] ================================================================
24
+ [14:41:25]
25
+ 50 | 0 | 0.099047 | 0.099047 | 2.00e-06 | 0:02:08 | 7:06:19
26
+ 100 | 0 | 0.141233 | 0.120140 | 4.00e-06 | 0:03:10 | 5:14:14
27
+ 150 | 0 | 0.059694 | 0.099991 | 6.00e-06 | 0:04:12 | 4:36:28
28
+ 200 | 0 | 0.113508 | 0.103370 | 8.00e-06 | 0:05:14 | 4:17:12
29
+ 250 | 0 | 0.141895 | 0.111075 | 1.00e-05 | 0:06:17 | 4:05:14
30
+ 300 | 0 | 0.070201 | 0.104263 | 1.20e-05 | 0:07:19 | 3:56:56
31
+ 350 | 0 | 0.130485 | 0.108009 | 1.40e-05 | 0:08:22 | 3:50:43
32
+ 400 | 0 | 0.137016 | 0.111635 | 1.60e-05 | 0:09:24 | 3:45:48
33
+ 450 | 0 | 0.071654 | 0.107193 | 1.80e-05 | 0:10:26 | 3:41:43
34
+ 500 | 0 | 0.138095 | 0.110283 | 2.00e-05 | 0:11:29 | 3:38:16
35
+ 550 | 0 | 0.304696 | 0.127957 | 2.00e-05 | 0:12:31 | 3:35:14
36
+ 600 | 0 | 0.211542 | 0.134922 | 2.00e-05 | 0:13:33 | 3:32:32
37
+ 650 | 0 | 0.122365 | 0.133956 | 2.00e-05 | 0:14:36 | 3:30:05
38
+ 700 | 0 | 0.199151 | 0.138613 | 2.00e-05 | 0:15:38 | 3:27:50
39
+ 750 | 0 | 0.029184 | 0.131318 | 2.00e-05 | 0:16:41 | 3:25:45
40
+ 800 | 0 | 0.037008 | 0.125423 | 2.00e-05 | 0:17:43 | 3:23:48
41
+ 850 | 0 | 0.192349 | 0.129360 | 1.99e-05 | 0:18:45 | 3:21:57
42
+ 900 | 0 | 0.226598 | 0.134762 | 1.99e-05 | 0:19:48 | 3:20:12
43
+ 950 | 0 | 0.092811 | 0.132554 | 1.99e-05 | 0:20:50 | 3:18:30
44
+ 1000 | 0 | 0.178317 | 0.134842 | 1.99e-05 | 0:21:52 | 3:16:53
45
+ [15:02:58] Generating 16 validation images ...
46
+ [15:03:20] Validation step 1000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0001000.png
47
+ 1050 | 0 | 0.146763 | 0.135410 | 1.98e-05 | 0:23:53 | 3:23:42
48
+ 1100 | 0 | 0.155953 | 0.136344 | 1.98e-05 | 0:24:56 | 3:21:44
49
+ 1150 | 0 | 0.267458 | 0.142044 | 1.98e-05 | 0:25:58 | 3:19:51
50
+ 1200 | 0 | 0.114449 | 0.140895 | 1.97e-05 | 0:27:00 | 3:18:04
51
+ 1250 | 0 | 0.052801 | 0.137371 | 1.97e-05 | 0:28:02 | 3:16:20
52
+ 1300 | 0 | 0.191477 | 0.139452 | 1.97e-05 | 0:29:05 | 3:14:39
53
+ 1350 | 0 | 0.056444 | 0.136378 | 1.96e-05 | 0:30:07 | 3:13:01
54
+ 1400 | 0 | 0.054737 | 0.133462 | 1.96e-05 | 0:31:09 | 3:11:25
55
+ 1450 | 0 | 0.050768 | 0.130610 | 1.95e-05 | 0:32:12 | 3:09:52
56
+ 1500 | 0 | 0.074964 | 0.128755 | 1.95e-05 | 0:33:14 | 3:08:21
57
+ 1550 | 0 | 0.120075 | 0.128475 | 1.94e-05 | 0:34:16 | 3:06:52
58
+ 1600 | 0 | 0.067443 | 0.126568 | 1.93e-05 | 0:35:18 | 3:05:24
59
+ 1650 | 0 | 0.046915 | 0.124154 | 1.93e-05 | 0:36:21 | 3:03:58
60
+ 1700 | 0 | 0.167408 | 0.125427 | 1.92e-05 | 0:37:23 | 3:02:33
61
+ 1750 | 0 | 0.066981 | 0.123757 | 1.92e-05 | 0:38:25 | 3:01:09
62
+ 1800 | 0 | 0.114159 | 0.123490 | 1.91e-05 | 0:39:27 | 2:59:47
63
+ 1850 | 0 | 0.117530 | 0.123329 | 1.90e-05 | 0:40:30 | 2:58:26
64
+ 1900 | 0 | 0.124733 | 0.123366 | 1.89e-05 | 0:41:32 | 2:57:05
65
+ 1950 | 0 | 0.118075 | 0.123230 | 1.89e-05 | 0:42:34 | 2:55:46
66
+ 2000 | 0 | 0.225841 | 0.125796 | 1.88e-05 | 0:43:36 | 2:54:27
67
+ [15:24:28] Saved checkpoint -> RESULTS/102flowers/run_018/checkpoint-2000
68
+ [15:25:05] Generating 16 validation images ...
69
+ [15:25:27] Validation step 2000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0002000.png
70
+ 2050 | 0 | 0.332473 | 0.130837 | 1.87e-05 | 0:46:00 | 2:58:26
71
+ 2100 | 0 | 0.081609 | 0.129664 | 1.86e-05 | 0:47:02 | 2:56:59
72
+ 2150 | 0 | 0.103812 | 0.129063 | 1.85e-05 | 0:48:04 | 2:55:33
73
+ 2200 | 0 | 0.134781 | 0.129193 | 1.85e-05 | 0:49:07 | 2:54:08
74
+ 2250 | 0 | 0.045646 | 0.127337 | 1.84e-05 | 0:50:09 | 2:52:45
75
+ 2300 | 0 | 0.062928 | 0.125936 | 1.83e-05 | 0:51:11 | 2:51:22
76
+ 2350 | 0 | 0.204496 | 0.127608 | 1.82e-05 | 0:52:13 | 2:50:00
77
+ 2400 | 0 | 0.120976 | 0.127470 | 1.81e-05 | 0:53:15 | 2:48:40
78
+ 2450 | 0 | 0.138634 | 0.127698 | 1.80e-05 | 0:54:18 | 2:47:20
79
+ 2500 | 0 | 0.069902 | 0.126542 | 1.79e-05 | 0:55:20 | 2:46:01
80
+ 2550 | 0 | 0.146441 | 0.126932 | 1.78e-05 | 0:56:22 | 2:44:42
81
+ 2600 | 0 | 0.136604 | 0.127118 | 1.77e-05 | 0:57:24 | 2:43:24
82
+ 2650 | 0 | 0.079591 | 0.126221 | 1.76e-05 | 0:58:27 | 2:42:07
83
+ 2700 | 0 | 0.095048 | 0.125644 | 1.75e-05 | 0:59:29 | 2:40:50
84
+ 2750 | 0 | 0.042770 | 0.124137 | 1.74e-05 | 1:00:31 | 2:39:34
85
+ 2800 | 0 | 0.113440 | 0.123946 | 1.72e-05 | 1:01:33 | 2:38:18
86
+ 2850 | 0 | 0.102517 | 0.123570 | 1.71e-05 | 1:02:36 | 2:37:03
87
+ 2900 | 0 | 0.092662 | 0.123037 | 1.70e-05 | 1:03:38 | 2:35:48
88
+ 2950 | 0 | 0.225626 | 0.124776 | 1.69e-05 | 1:04:40 | 2:34:33
89
+ 3000 | 0 | 0.159380 | 0.125353 | 1.68e-05 | 1:05:42 | 2:33:19
90
+ [15:47:08] Generating 16 validation images ...
91
+ [15:47:29] Validation step 3000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0003000.png
92
+ 3050 | 0 | 0.070011 | 0.124445 | 1.67e-05 | 1:08:04 | 2:35:06
93
+ 3100 | 0 | 0.110594 | 0.124222 | 1.65e-05 | 1:09:05 | 2:33:48
94
+ 3150 | 0 | 0.091841 | 0.123708 | 1.64e-05 | 1:10:08 | 2:32:30
95
+ 3200 | 0 | 0.085266 | 0.123107 | 1.63e-05 | 1:11:10 | 2:31:14
96
+ 3250 | 0 | 0.096069 | 0.122691 | 1.61e-05 | 1:12:12 | 2:29:58
97
+ 3300 | 0 | 0.120897 | 0.122664 | 1.60e-05 | 1:13:14 | 2:28:42
98
+ 3350 | 0 | 0.182366 | 0.123555 | 1.59e-05 | 1:14:17 | 2:27:27
99
+ 3400 | 0 | 0.148275 | 0.123919 | 1.57e-05 | 1:15:19 | 2:26:13
100
+ 3450 | 0 | 0.133047 | 0.124051 | 1.56e-05 | 1:16:21 | 2:24:58
101
+ 3500 | 0 | 0.053622 | 0.123045 | 1.55e-05 | 1:17:24 | 2:23:44
102
+ 3550 | 0 | 0.118424 | 0.122980 | 1.53e-05 | 1:18:26 | 2:22:31
103
+ [15:59:53] --- Epoch 0 | Steps: 3583 | Avg Loss: 0.118791 ---
104
+ 3600 | 1 | 0.169352 | 0.123624 | 1.52e-05 | 1:19:28 | 2:21:16
105
+ 3650 | 1 | 0.189396 | 0.124525 | 1.50e-05 | 1:20:30 | 2:20:03
106
+ 3700 | 1 | 0.044899 | 0.123449 | 1.49e-05 | 1:21:32 | 2:18:51
107
+ 3750 | 1 | 0.099210 | 0.123126 | 1.48e-05 | 1:22:35 | 2:17:38
108
+ 3800 | 1 | 0.132884 | 0.123254 | 1.46e-05 | 1:23:37 | 2:16:26
109
+ 3850 | 1 | 0.047096 | 0.122265 | 1.45e-05 | 1:24:39 | 2:15:14
110
+ 3900 | 1 | 0.095155 | 0.121917 | 1.43e-05 | 1:25:42 | 2:14:02
111
+ 3950 | 1 | 0.096166 | 0.121591 | 1.42e-05 | 1:26:44 | 2:12:51
112
+ 4000 | 1 | 0.131898 | 0.121720 | 1.40e-05 | 1:27:46 | 2:11:40
113
+ [16:08:38] Saved checkpoint -> RESULTS/102flowers/run_018/checkpoint-4000
114
+ [16:08:40] Generating 16 validation images ...
115
+ [16:09:02] Validation step 4000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0004000.png
116
+ 4050 | 1 | 0.093054 | 0.121366 | 1.39e-05 | 1:29:34 | 2:11:35
117
+ 4100 | 1 | 0.137116 | 0.121558 | 1.37e-05 | 1:30:36 | 2:10:23
118
+ 4150 | 1 | 0.144951 | 0.121840 | 1.36e-05 | 1:31:38 | 2:09:11
119
+ 4200 | 1 | 0.146817 | 0.122138 | 1.34e-05 | 1:32:41 | 2:07:59
120
+ 4250 | 1 | 0.073565 | 0.121566 | 1.32e-05 | 1:33:43 | 2:06:48
121
+ 4300 | 1 | 0.152622 | 0.121927 | 1.31e-05 | 1:34:45 | 2:05:36
122
+ 4350 | 1 | 0.011392 | 0.120657 | 1.29e-05 | 1:35:48 | 2:04:26
123
+ 4400 | 1 | 0.155296 | 0.121050 | 1.28e-05 | 1:36:50 | 2:03:15
124
+ 4450 | 1 | 0.098843 | 0.120801 | 1.26e-05 | 1:37:52 | 2:02:04
125
+ 4500 | 1 | 0.255531 | 0.122298 | 1.25e-05 | 1:38:55 | 2:00:54
126
+ 4550 | 1 | 0.237809 | 0.123567 | 1.23e-05 | 1:39:57 | 1:59:43
127
+ 4600 | 1 | 0.124118 | 0.123573 | 1.21e-05 | 1:40:59 | 1:58:33
128
+ 4650 | 1 | 0.130882 | 0.123652 | 1.20e-05 | 1:42:02 | 1:57:23
129
+ 4700 | 1 | 0.173003 | 0.124177 | 1.18e-05 | 1:43:04 | 1:56:14
130
+ 4750 | 1 | 0.072604 | 0.123634 | 1.16e-05 | 1:44:07 | 1:55:04
131
+ 4800 | 1 | 0.232133 | 0.124764 | 1.15e-05 | 1:45:09 | 1:53:55
132
+ 4850 | 1 | 0.143449 | 0.124957 | 1.13e-05 | 1:46:11 | 1:52:45
133
+ 4900 | 1 | 0.093876 | 0.124640 | 1.12e-05 | 1:47:14 | 1:51:36
134
+ 4950 | 1 | 0.200288 | 0.125404 | 1.10e-05 | 1:48:16 | 1:50:27
135
+ 5000 | 1 | 0.023462 | 0.124384 | 1.08e-05 | 1:49:18 | 1:49:18
136
+ [16:30:40] Generating 16 validation images ...
137
+ [16:31:02] Validation step 5000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0005000.png
138
+ 5050 | 1 | 0.088811 | 0.124282 | 1.07e-05 | 1:51:33 | 1:49:20
139
+ 5100 | 1 | 0.275556 | 0.125625 | 1.05e-05 | 1:52:35 | 1:48:10
140
+ 5150 | 1 | 0.120032 | 0.126229 | 1.03e-05 | 1:53:37 | 1:47:00
141
+ 5200 | 1 | 0.105559 | 0.126149 | 1.02e-05 | 1:54:40 | 1:45:51
142
+ 5250 | 1 | 0.013606 | 0.124866 | 1.00e-05 | 1:55:42 | 1:44:41
143
+ 5300 | 1 | 0.072298 | 0.124887 | 9.83e-06 | 1:56:44 | 1:43:31
144
+ 5350 | 1 | 0.056324 | 0.124146 | 9.67e-06 | 1:57:47 | 1:42:22
145
+ 5400 | 1 | 0.216712 | 0.124943 | 9.50e-06 | 1:58:49 | 1:41:13
146
+ 5450 | 1 | 0.057001 | 0.124796 | 9.34e-06 | 1:59:52 | 1:40:04
147
+ 5500 | 1 | 0.094057 | 0.124356 | 9.17e-06 | 2:00:54 | 1:38:55
148
+ 5550 | 1 | 0.055925 | 0.121868 | 9.01e-06 | 2:01:56 | 1:37:46
149
+ 5600 | 1 | 0.114760 | 0.120900 | 8.85e-06 | 2:02:59 | 1:36:37
150
+ 5650 | 1 | 0.154136 | 0.121218 | 8.68e-06 | 2:04:01 | 1:35:29
151
+ 5700 | 1 | 0.115413 | 0.120380 | 8.52e-06 | 2:05:03 | 1:34:20
152
+ 5750 | 1 | 0.112168 | 0.121210 | 8.35e-06 | 2:06:06 | 1:33:12
153
+ 5800 | 1 | 0.147851 | 0.122319 | 8.19e-06 | 2:07:08 | 1:32:04
154
+ 5850 | 1 | 0.065641 | 0.121052 | 8.03e-06 | 2:08:10 | 1:30:55
155
+ 5900 | 1 | 0.079977 | 0.119585 | 7.87e-06 | 2:09:13 | 1:29:47
156
+ 5950 | 1 | 0.108752 | 0.119745 | 7.71e-06 | 2:10:15 | 1:28:39
157
+ 6000 | 1 | 0.135387 | 0.119316 | 7.55e-06 | 2:11:17 | 1:27:31
158
+ [16:52:09] Saved checkpoint -> RESULTS/102flowers/run_018/checkpoint-6000
159
+ [16:52:42] Generating 16 validation images ...
160
+ [16:53:04] Validation step 6000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0006000.png
161
+ 6050 | 1 | 0.260546 | 0.120453 | 7.39e-06 | 2:13:36 | 1:27:14
162
+ 6100 | 1 | 0.117763 | 0.120071 | 7.23e-06 | 2:14:39 | 1:26:05
163
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164
+ 6200 | 1 | 0.064934 | 0.117971 | 6.91e-06 | 2:16:43 | 1:23:48
165
+ 6250 | 1 | 0.100493 | 0.118447 | 6.75e-06 | 2:17:46 | 1:22:39
166
+ 6300 | 1 | 0.102369 | 0.117556 | 6.60e-06 | 2:18:48 | 1:21:31
167
+ 6350 | 1 | 0.035926 | 0.117351 | 6.44e-06 | 2:19:50 | 1:20:23
168
+ 6400 | 1 | 0.202333 | 0.118827 | 6.29e-06 | 2:20:53 | 1:19:15
169
+ 6450 | 1 | 0.041436 | 0.118734 | 6.14e-06 | 2:21:55 | 1:18:06
170
+ 6500 | 1 | 0.144418 | 0.119428 | 5.98e-06 | 2:22:58 | 1:16:59
171
+ 6550 | 1 | 0.071895 | 0.118947 | 5.83e-06 | 2:24:00 | 1:15:51
172
+ 6600 | 1 | 0.189750 | 0.120170 | 5.68e-06 | 2:25:02 | 1:14:43
173
+ 6650 | 1 | 0.145205 | 0.121153 | 5.53e-06 | 2:26:05 | 1:13:35
174
+ 6700 | 1 | 0.105694 | 0.120535 | 5.39e-06 | 2:27:07 | 1:12:28
175
+ 6750 | 1 | 0.088788 | 0.120753 | 5.24e-06 | 2:28:10 | 1:11:20
176
+ 6800 | 1 | 0.141157 | 0.121023 | 5.10e-06 | 2:29:12 | 1:10:12
177
+ 6850 | 1 | 0.124581 | 0.121094 | 4.95e-06 | 2:30:14 | 1:09:05
178
+ 6900 | 1 | 0.176477 | 0.121611 | 4.81e-06 | 2:31:17 | 1:07:58
179
+ 6950 | 1 | 0.179331 | 0.122224 | 4.67e-06 | 2:32:19 | 1:06:50
180
+ 7000 | 1 | 0.112933 | 0.121095 | 4.53e-06 | 2:33:22 | 1:05:43
181
+ [17:14:10] Generating 16 validation images ...
182
+ [17:14:32] Validation step 7000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0007000.png
183
+ 7050 | 1 | 0.102953 | 0.118800 | 4.39e-06 | 2:34:52 | 1:04:48
184
+ 7100 | 1 | 0.142367 | 0.119407 | 4.26e-06 | 2:35:54 | 1:03:40
185
+ 7150 | 1 | 0.098246 | 0.119352 | 4.12e-06 | 2:36:57 | 1:02:33
186
+ [17:18:02] --- Epoch 1 | Steps: 3583 | Avg Loss: 0.115449 ---
187
+ 7200 | 2 | 0.222811 | 0.120232 | 3.99e-06 | 2:37:59 | 1:01:26
188
+ 7250 | 2 | 0.049285 | 0.120268 | 3.86e-06 | 2:39:01 | 1:00:19
189
+ 7300 | 2 | 0.082386 | 0.120463 | 3.73e-06 | 2:40:03 | 0:59:12
190
+ 7350 | 2 | 0.073668 | 0.119155 | 3.60e-06 | 2:41:06 | 0:58:05
191
+ 7400 | 2 | 0.194007 | 0.119885 | 3.47e-06 | 2:42:09 | 0:56:58
192
+ 7450 | 2 | 0.081201 | 0.119311 | 3.35e-06 | 2:43:11 | 0:55:51
193
+ 7500 | 2 | 0.145263 | 0.120064 | 3.23e-06 | 2:44:14 | 0:54:44
194
+ 7550 | 2 | 0.116471 | 0.119764 | 3.11e-06 | 2:45:16 | 0:53:38
195
+ 7600 | 2 | 0.149510 | 0.119894 | 2.99e-06 | 2:46:19 | 0:52:31
196
+ 7650 | 2 | 0.190483 | 0.121002 | 2.87e-06 | 2:47:23 | 0:51:25
197
+ 7700 | 2 | 0.173202 | 0.121784 | 2.76e-06 | 2:48:26 | 0:50:18
198
+ 7750 | 2 | 0.130275 | 0.122659 | 2.64e-06 | 2:49:29 | 0:49:12
199
+ 7800 | 2 | 0.208551 | 0.123610 | 2.53e-06 | 2:50:32 | 0:48:06
200
+ 7850 | 2 | 0.117333 | 0.123758 | 2.42e-06 | 2:51:35 | 0:46:59
201
+ 7900 | 2 | 0.105022 | 0.123882 | 2.32e-06 | 2:52:38 | 0:45:53
202
+ 7950 | 2 | 0.082847 | 0.122454 | 2.21e-06 | 2:53:41 | 0:44:47
203
+ 8000 | 2 | 0.106374 | 0.121924 | 2.11e-06 | 2:54:44 | 0:43:41
204
+ [17:35:36] Saved checkpoint -> RESULTS/102flowers/run_018/checkpoint-8000
205
+ [17:36:59] Generating 16 validation images ...
206
+ [17:37:21] Validation step 8000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0008000.png
207
+ 8050 | 2 | 0.116717 | 0.122391 | 2.01e-06 | 2:58:13 | 0:43:10
208
+ 8100 | 2 | 0.078106 | 0.122066 | 1.91e-06 | 2:59:16 | 0:42:03
209
+ 8150 | 2 | 0.149931 | 0.122647 | 1.81e-06 | 3:00:19 | 0:40:55
210
+ 8200 | 2 | 0.099088 | 0.122785 | 1.72e-06 | 3:01:22 | 0:39:48
211
+ 8250 | 2 | 0.067419 | 0.122499 | 1.63e-06 | 3:02:26 | 0:38:41
212
+ 8300 | 2 | 0.120915 | 0.122499 | 1.54e-06 | 3:03:29 | 0:37:34
213
+ 8350 | 2 | 0.084330 | 0.121519 | 1.45e-06 | 3:04:32 | 0:36:27
214
+ 8400 | 2 | 0.066708 | 0.120703 | 1.37e-06 | 3:05:35 | 0:35:21
215
+ 8450 | 2 | 0.120100 | 0.120574 | 1.29e-06 | 3:06:38 | 0:34:14
216
+ 8500 | 2 | 0.126643 | 0.121304 | 1.21e-06 | 3:07:41 | 0:33:07
217
+ 8550 | 2 | 0.098060 | 0.121100 | 1.13e-06 | 3:08:44 | 0:32:00
218
+ 8600 | 2 | 0.287215 | 0.122279 | 1.05e-06 | 3:09:47 | 0:30:53
219
+ 8650 | 2 | 0.066542 | 0.121050 | 9.80e-07 | 3:10:50 | 0:29:47
220
+ 8700 | 2 | 0.121330 | 0.121815 | 9.10e-07 | 3:11:53 | 0:28:40
221
+ 8750 | 2 | 0.034342 | 0.121166 | 8.42e-07 | 3:12:57 | 0:27:33
222
+ 8800 | 2 | 0.052329 | 0.120360 | 7.77e-07 | 3:13:59 | 0:26:27
223
+ 8850 | 2 | 0.132497 | 0.121214 | 7.14e-07 | 3:15:03 | 0:25:20
224
+ 8900 | 2 | 0.113281 | 0.121396 | 6.54e-07 | 3:16:06 | 0:24:14
225
+ 8950 | 2 | 0.007287 | 0.120507 | 5.97e-07 | 3:17:09 | 0:23:07
226
+ 9000 | 2 | 0.098719 | 0.120175 | 5.42e-07 | 3:18:12 | 0:22:01
227
+ [18:00:24] Generating 16 validation images ...
228
+ [18:00:47] Validation step 9000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0009000.png
229
+ 9050 | 2 | 0.171864 | 0.120963 | 4.89e-07 | 3:21:41 | 0:21:10
230
+ 9100 | 2 | 0.097516 | 0.120567 | 4.40e-07 | 3:22:44 | 0:20:03
231
+ 9150 | 2 | 0.117143 | 0.120289 | 3.92e-07 | 3:23:47 | 0:18:55
232
+ 9200 | 2 | 0.162675 | 0.120448 | 3.48e-07 | 3:24:50 | 0:17:48
233
+ 9250 | 2 | 0.181168 | 0.121524 | 3.06e-07 | 3:25:54 | 0:16:41
234
+ 9300 | 2 | 0.163201 | 0.121629 | 2.67e-07 | 3:26:57 | 0:15:34
235
+ 9350 | 2 | 0.141531 | 0.122931 | 2.30e-07 | 3:28:00 | 0:14:27
236
+ 9400 | 2 | 0.131537 | 0.122693 | 1.96e-07 | 3:29:03 | 0:13:20
237
+ 9450 | 2 | 0.048772 | 0.122192 | 1.65e-07 | 3:30:06 | 0:12:13
238
+ 9500 | 2 | 0.031631 | 0.119953 | 1.36e-07 | 3:31:09 | 0:11:06
239
+ 9550 | 2 | 0.018692 | 0.117762 | 1.11e-07 | 3:32:12 | 0:09:59
240
+ 9600 | 2 | 0.126412 | 0.117785 | 8.74e-08 | 3:33:16 | 0:08:53
241
+ 9650 | 2 | 0.110526 | 0.117582 | 6.69e-08 | 3:34:19 | 0:07:46
242
+ 9700 | 2 | 0.126802 | 0.117120 | 4.92e-08 | 3:35:22 | 0:06:39
243
+ 9750 | 2 | 0.070687 | 0.117101 | 3.42e-08 | 3:36:25 | 0:05:32
244
+ 9800 | 2 | 0.097716 | 0.115756 | 2.19e-08 | 3:37:28 | 0:04:26
245
+ 9850 | 2 | 0.090303 | 0.115225 | 1.23e-08 | 3:38:31 | 0:03:19
246
+ 9900 | 2 | 0.083472 | 0.115121 | 5.47e-09 | 3:39:35 | 0:02:13
247
+ 9950 | 2 | 0.050114 | 0.113619 | 1.37e-09 | 3:40:38 | 0:01:06
248
+ 10000 | 2 | 0.144873 | 0.114833 | 0.00e+00 | 3:41:41 | 0:00:00
249
+ [18:22:33] Saved checkpoint -> RESULTS/102flowers/run_018/checkpoint-10000
250
+ [18:23:51] Generating 16 validation images ...
251
+ [18:24:13] Validation step 10000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0010000.png
252
+ [18:24:18] --- Epoch 2 | Steps: 2834 | Avg Loss: 0.117819 ---
253
+ [18:24:18] Saving final model ...
254
+ [18:24:34] Pipeline saved -> RESULTS/102flowers/run_018
255
+ [18:24:34] Generating final validation collage ...
256
+ [18:24:34] Generating 16 validation images ...
257
+ [18:24:57] Validation step 10000: 16 images -> RESULTS/102flowers/run_018/validation/collage_step_0010000.png
258
+ [18:25:16]
259
+ [18:25:16] ============================================================
260
+ [18:25:16] TRAINING SUMMARY
261
+ [18:25:16] ============================================================
262
+ [18:25:16] Total steps : 200
263
+ [18:25:16] Final loss : 0.144873
264
+ [18:25:16] Avg last 100 : 0.114833
265
+ [18:25:16] Min loss : 0.007287
266
+ [18:25:16] Total time : 3:44:30
267
+ [18:25:16] Output : RESULTS/102flowers/run_018
268
+ [18:25:16] ============================================================
102flowers/pixart_sigma/Baseline/training_args.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/102flowers",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
11
+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
14
+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "learning_rate": 2e-05,
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+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
25
+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.01,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 3,
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+ "resume_from_checkpoint": null,
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+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
38
+ "max_sequence_length": 300,
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+ "dataloader_num_workers": 4,
40
+ "output_dir": "RESULTS/102flowers/run_018"
41
+ }
102flowers/pixart_sigma/Baseline/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
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+ "final_loss": 0.1448727548122406,
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+ "avg_last_100": 0.11483321947976947,
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+ "min_loss": 0.007287034764885902,
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+ "total_time": "3:44:30"
7
+ }
102flowers/pixart_sigma/RAD/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtSigmaPipeline",
3
+ "_diffusers_version": "0.37.1",
4
+ "scheduler": [
5
+ "diffusers",
6
+ "DPMSolverMultistepScheduler"
7
+ ],
8
+ "text_encoder": [
9
+ "transformers",
10
+ "T5EncoderModel"
11
+ ],
12
+ "tokenizer": [
13
+ "transformers",
14
+ "T5Tokenizer"
15
+ ],
16
+ "transformer": [
17
+ "diffusers",
18
+ "PixArtTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderKL"
23
+ ]
24
+ }
102flowers/pixart_sigma/RAD/training.log ADDED
@@ -0,0 +1,304 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-17 14:39:28
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [14:39:28] Run directory: RESULTS/102flowers/run_017
6
+ [14:39:28] PixArt-Sigma AGD+TAM+SAD v3 | temp=0.5 curriculum=5000 max_delta=300
7
+ [14:39:28] TAM: enabled=True alpha=0.9 factor=0.5
8
+ [14:39:28] SAD: enabled=True temp=0.5
9
+ [14:39:28] Loading PixArt-Sigma components ...
10
+ [14:39:28] Transformer : PixArt-alpha/PixArt-Sigma-XL-2-512-MS
11
+ [14:39:28] Base (T5/VAE): PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
12
+ [14:40:01] Transformer params: 610,856,096 total, 610,856,096 trainable
13
+ [14:40:01] Building dataset ...
14
+ [14:40:01] TAM initialised: 28660 samples tracked.
15
+ [14:40:07]
16
+ [14:40:07] ================================================================
17
+ [14:40:07] Transformer = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
18
+ [14:40:07] Base (T5/VAE) = PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
19
+ [14:40:07] Output dir = RESULTS/102flowers/run_017
20
+ [14:40:07] Num examples = 28660
21
+ [14:40:07] Num epochs = 3
22
+ [14:40:07] Batch/device = 8
23
+ [14:40:07] Grad accum = 1
24
+ [14:40:07] Effective BS = 8
25
+ [14:40:07] Total optim steps = 10000
26
+ [14:40:07] LR = 2e-05
27
+ [14:40:07] Precision = bf16
28
+ [14:40:07] Resolution = 512x512
29
+ [14:40:07] Max seq length = 300 [Sigma: 300 vs Alpha: 120]
30
+ [14:40:07] --- AGD ---
31
+ [14:40:07] Temperature = 0.5
32
+ [14:40:07] Curriculum steps = 5000
33
+ [14:40:07] Max timestep delta = 300
34
+ [14:40:07] --- TAM --- enabled=True
35
+ [14:40:07] TAM alpha = 0.9
36
+ [14:40:07] TAM factor = 0.5
37
+ [14:40:07] --- SAD --- enabled=True
38
+ [14:40:07] SAD temperature = 0.5
39
+ [14:40:07] ================================================================
40
+ [14:40:07]
41
+ 50 | 0 | 0.069183 | 0.069183 | 0.066861 | 0.067576 | 0.000714 | 1.0000 | -0.0000 | 3.00 | 2.00e-06 | 0:02:03 | 6:50:41
42
+ 100 | 0 | 0.089663 | 0.079423 | 0.090341 | 0.086518 | -0.003823 | 1.0000 | -0.0000 | 6.00 | 4.00e-06 | 0:03:23 | 5:35:13
43
+ 150 | 0 | 0.088034 | 0.082293 | 0.090038 | 0.085695 | -0.004343 | 1.0000 | -0.0000 | 9.00 | 6.00e-06 | 0:04:42 | 5:09:21
44
+ 200 | 0 | 0.222770 | 0.117413 | 0.219347 | 0.214118 | -0.005229 | 1.0000 | -0.0000 | 12.00 | 8.00e-06 | 0:06:02 | 4:55:45
45
+ 250 | 0 | 0.088074 | 0.111545 | 0.094199 | 0.086837 | -0.007363 | 1.0000 | -0.0001 | 15.00 | 1.00e-05 | 0:07:21 | 4:47:04
46
+ 300 | 0 | 0.165359 | 0.120514 | 0.172003 | 0.159049 | -0.012955 | 1.0000 | -0.0001 | 18.00 | 1.20e-05 | 0:08:41 | 4:40:49
47
+ 350 | 0 | 0.061331 | 0.112059 | 0.064566 | 0.054660 | -0.009906 | 1.0000 | -0.0001 | 21.00 | 1.40e-05 | 0:10:00 | 4:35:59
48
+ 400 | 0 | 0.075306 | 0.107465 | 0.078955 | 0.073444 | -0.005511 | 1.0000 | -0.0001 | 24.00 | 1.60e-05 | 0:11:20 | 4:32:02
49
+ 450 | 0 | 0.037390 | 0.099679 | 0.045205 | 0.037322 | -0.007884 | 1.0000 | -0.0001 | 27.00 | 1.80e-05 | 0:12:39 | 4:28:40
50
+ 500 | 0 | 0.041423 | 0.093853 | 0.050273 | 0.043105 | -0.007168 | 1.0000 | -0.0002 | 30.00 | 2.00e-05 | 0:13:59 | 4:25:41
51
+ [14:53:27] [TAM @ 500] mean=-0.0002 std=0.0027 max=0.0087 visits=4000
52
+ 550 | 0 | 0.157970 | 0.099682 | 0.285583 | 0.163473 | -0.122110 | 1.0000 | -0.0002 | 33.00 | 2.00e-05 | 0:15:18 | 4:22:59
53
+ 600 | 0 | 0.086212 | 0.098560 | 0.105515 | 0.086860 | -0.018655 | 1.0000 | -0.0002 | 36.00 | 2.00e-05 | 0:16:37 | 4:20:32
54
+ 650 | 0 | 0.054465 | 0.095168 | 0.057473 | 0.054740 | -0.002733 | 1.0000 | -0.0003 | 39.00 | 2.00e-05 | 0:17:57 | 4:18:14
55
+ 700 | 0 | 0.025079 | 0.090161 | 0.038721 | 0.027196 | -0.011525 | 1.0000 | -0.0003 | 42.00 | 2.00e-05 | 0:19:16 | 4:16:04
56
+ 750 | 0 | 0.053316 | 0.087705 | 0.037715 | 0.050528 | 0.012814 | 1.0000 | -0.0003 | 45.00 | 2.00e-05 | 0:20:35 | 4:14:01
57
+ 800 | 0 | 0.070776 | 0.086647 | 0.089872 | 0.070577 | -0.019295 | 1.0000 | -0.0004 | 48.00 | 2.00e-05 | 0:21:55 | 4:12:04
58
+ 850 | 0 | 0.060753 | 0.085124 | 0.067834 | 0.060873 | -0.006961 | 1.0000 | -0.0004 | 51.00 | 2.00e-05 | 0:23:14 | 4:10:11
59
+ 900 | 0 | 0.052683 | 0.083322 | 0.077745 | 0.053390 | -0.024356 | 1.0000 | -0.0004 | 54.00 | 2.00e-05 | 0:24:33 | 4:08:22
60
+ 950 | 0 | 0.072427 | 0.082748 | 0.094777 | 0.073313 | -0.021463 | 1.0000 | -0.0005 | 57.00 | 2.00e-05 | 0:25:53 | 4:06:36
61
+ 1000 | 0 | 0.071839 | 0.082203 | 0.096988 | 0.068266 | -0.028722 | 1.0000 | -0.0005 | 60.00 | 2.00e-05 | 0:27:12 | 4:04:53
62
+ [15:06:41] [TAM @ 1000] mean=-0.0005 std=0.0045 max=0.0127 visits=8000
63
+ [15:06:42] Generating 16 validation images ...
64
+ [15:07:03] Validation step 1000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0001000.png
65
+ 1050 | 0 | 0.072593 | 0.081745 | 0.090121 | 0.071175 | -0.018946 | 1.0000 | -0.0006 | 63.00 | 2.00e-05 | 0:28:55 | 4:06:29
66
+ 1100 | 0 | 0.031904 | 0.079480 | 0.050278 | 0.031194 | -0.019084 | 1.0000 | -0.0006 | 66.00 | 2.00e-05 | 0:30:14 | 4:04:40
67
+ 1150 | 0 | 0.062405 | 0.078737 | 0.097344 | 0.066896 | -0.030449 | 1.0000 | -0.0007 | 69.00 | 2.00e-05 | 0:31:33 | 4:02:54
68
+ 1200 | 0 | 0.109484 | 0.080018 | 0.138472 | 0.108244 | -0.030228 | 1.0000 | -0.0007 | 72.00 | 2.00e-05 | 0:32:53 | 4:01:09
69
+ 1250 | 0 | 0.075812 | 0.079850 | 0.117473 | 0.078631 | -0.038842 | 1.0000 | -0.0008 | 75.00 | 2.00e-05 | 0:34:12 | 3:59:27
70
+ 1300 | 0 | 0.137434 | 0.082065 | 0.285173 | 0.148669 | -0.136505 | 1.0000 | -0.0008 | 78.00 | 2.00e-05 | 0:35:31 | 3:57:46
71
+ 1350 | 0 | 0.080031 | 0.081990 | 0.243320 | 0.107424 | -0.135896 | 1.0000 | -0.0009 | 81.00 | 2.00e-05 | 0:36:51 | 3:56:07
72
+ 1400 | 0 | 0.059057 | 0.081171 | 0.095467 | 0.060139 | -0.035328 | 1.0000 | -0.0009 | 84.00 | 2.00e-05 | 0:38:10 | 3:54:29
73
+ 1450 | 0 | 0.010129 | 0.078721 | 0.020496 | 0.009531 | -0.010964 | 1.0000 | -0.0010 | 87.00 | 2.00e-05 | 0:39:29 | 3:52:53
74
+ 1500 | 0 | 0.100928 | 0.079461 | 0.165879 | 0.101085 | -0.064794 | 1.0000 | -0.0010 | 90.00 | 2.00e-05 | 0:40:49 | 3:51:17
75
+ [15:20:17] [TAM @ 1500] mean=-0.0010 std=0.0060 max=0.0135 visits=12000
76
+ 1550 | 0 | 0.030966 | 0.077897 | 0.064569 | 0.031684 | -0.032885 | 1.0000 | -0.0011 | 93.00 | 2.00e-05 | 0:42:08 | 3:49:42
77
+ 1600 | 0 | 0.006633 | 0.075670 | 0.014754 | 0.006094 | -0.008660 | 1.0000 | -0.0011 | 96.00 | 2.00e-05 | 0:43:27 | 3:48:09
78
+ 1650 | 0 | 0.070970 | 0.075527 | 0.126754 | 0.072553 | -0.054201 | 1.0000 | -0.0012 | 99.00 | 2.00e-05 | 0:44:46 | 3:46:36
79
+ 1700 | 0 | 0.037926 | 0.074421 | 0.081156 | 0.040926 | -0.040230 | 1.0000 | -0.0013 | 102.00 | 2.00e-05 | 0:46:05 | 3:45:04
80
+ 1750 | 0 | 0.137771 | 0.076231 | 0.205612 | 0.133133 | -0.072480 | 1.0000 | -0.0013 | 105.00 | 2.00e-05 | 0:47:25 | 3:43:33
81
+ 1800 | 0 | 0.117830 | 0.077387 | 0.234091 | 0.136573 | -0.097518 | 1.0000 | -0.0014 | 108.00 | 2.00e-05 | 0:48:44 | 3:42:02
82
+ 1850 | 0 | 0.073262 | 0.077275 | 0.128237 | 0.073292 | -0.054944 | 1.0000 | -0.0015 | 111.00 | 2.00e-05 | 0:50:03 | 3:40:33
83
+ 1900 | 0 | 0.039772 | 0.076288 | 0.197284 | 0.071285 | -0.125999 | 1.0000 | -0.0015 | 114.00 | 2.00e-05 | 0:51:23 | 3:39:03
84
+ 1950 | 0 | 0.121301 | 0.077443 | 0.160006 | 0.125654 | -0.034352 | 1.0000 | -0.0016 | 117.00 | 2.00e-05 | 0:52:42 | 3:37:34
85
+ 2000 | 0 | 0.083145 | 0.077585 | 0.108386 | 0.079820 | -0.028566 | 1.0000 | -0.0017 | 120.00 | 2.00e-05 | 0:54:01 | 3:36:06
86
+ [15:33:30] [TAM @ 2000] mean=-0.0017 std=0.0070 max=0.0135 visits=16000
87
+ [15:33:35] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-2000
88
+ [15:33:36] Generating 16 validation images ...
89
+ [15:33:57] Validation step 2000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0002000.png
90
+ 2050 | 0 | 0.083832 | 0.077738 | 0.112461 | 0.074156 | -0.038304 | 1.0000 | -0.0017 | 123.00 | 2.00e-05 | 0:55:48 | 3:36:25
91
+ 2100 | 0 | 0.081892 | 0.077836 | 0.236438 | 0.100919 | -0.135519 | 1.0000 | -0.0018 | 126.00 | 2.00e-05 | 0:57:07 | 3:34:55
92
+ 2150 | 0 | 0.076406 | 0.077803 | 0.127450 | 0.076262 | -0.051189 | 1.0000 | -0.0019 | 129.00 | 2.00e-05 | 0:58:27 | 3:33:25
93
+ 2200 | 0 | 0.039254 | 0.076927 | 0.099843 | 0.041966 | -0.057878 | 1.0000 | -0.0020 | 132.00 | 2.00e-05 | 0:59:46 | 3:31:55
94
+ 2250 | 0 | 0.062595 | 0.076609 | 0.109049 | 0.059608 | -0.049441 | 1.0000 | -0.0020 | 135.00 | 2.00e-05 | 1:01:05 | 3:30:26
95
+ 2300 | 0 | 0.070333 | 0.076472 | 0.258264 | 0.095065 | -0.163199 | 1.0000 | -0.0021 | 138.00 | 2.00e-05 | 1:02:24 | 3:28:57
96
+ 2350 | 0 | 0.061463 | 0.076153 | 0.117483 | 0.061803 | -0.055681 | 1.0000 | -0.0022 | 141.00 | 2.00e-05 | 1:03:44 | 3:27:28
97
+ 2400 | 0 | 0.022941 | 0.075044 | 0.059334 | 0.026767 | -0.032567 | 1.0000 | -0.0023 | 144.00 | 2.00e-05 | 1:05:03 | 3:26:00
98
+ 2450 | 0 | 0.024934 | 0.074022 | 0.062112 | 0.027851 | -0.034261 | 1.0000 | -0.0024 | 147.00 | 2.00e-05 | 1:06:22 | 3:24:32
99
+ 2500 | 0 | 0.007632 | 0.072694 | 0.023651 | 0.006833 | -0.016818 | 1.0000 | -0.0025 | 150.00 | 2.00e-05 | 1:07:41 | 3:23:04
100
+ [15:47:10] [TAM @ 2500] mean=-0.0025 std=0.0081 max=0.0135 visits=20000
101
+ 2550 | 0 | 0.025851 | 0.071775 | 0.072004 | 0.029050 | -0.042954 | 1.0000 | -0.0025 | 153.00 | 2.00e-05 | 1:09:00 | 3:21:37
102
+ 2600 | 0 | 0.063789 | 0.071622 | 0.144996 | 0.060544 | -0.084452 | 1.0000 | -0.0026 | 156.00 | 2.00e-05 | 1:10:20 | 3:20:11
103
+ 2650 | 0 | 0.093361 | 0.072032 | 0.208022 | 0.094951 | -0.113072 | 1.0000 | -0.0027 | 159.00 | 2.00e-05 | 1:11:39 | 3:18:44
104
+ 2700 | 0 | 0.009209 | 0.070868 | 0.040586 | 0.010116 | -0.030470 | 1.0000 | -0.0028 | 162.00 | 2.00e-05 | 1:12:58 | 3:17:18
105
+ 2750 | 0 | 0.011484 | 0.069789 | 0.042142 | 0.012973 | -0.029169 | 1.0000 | -0.0029 | 165.00 | 2.00e-05 | 1:14:18 | 3:15:53
106
+ 2800 | 0 | 0.009917 | 0.068720 | 0.044070 | 0.011085 | -0.032984 | 1.0000 | -0.0030 | 168.00 | 2.00e-05 | 1:15:37 | 3:14:28
107
+ 2850 | 0 | 0.042562 | 0.068261 | 0.134166 | 0.043333 | -0.090834 | 1.0000 | -0.0031 | 171.00 | 2.00e-05 | 1:16:57 | 3:13:03
108
+ 2900 | 0 | 0.025092 | 0.067516 | 0.102893 | 0.027099 | -0.075794 | 1.0000 | -0.0032 | 174.00 | 2.00e-05 | 1:18:16 | 3:11:38
109
+ 2950 | 0 | 0.078219 | 0.067698 | 0.172543 | 0.084247 | -0.088296 | 1.0000 | -0.0033 | 177.00 | 2.00e-05 | 1:19:35 | 3:10:13
110
+ 3000 | 0 | 0.022591 | 0.066946 | 0.092735 | 0.026530 | -0.066205 | 1.0000 | -0.0034 | 180.00 | 2.00e-05 | 1:20:55 | 3:08:48
111
+ [16:00:23] [TAM @ 3000] mean=-0.0034 std=0.0090 max=0.0135 visits=24000
112
+ [16:00:25] Generating 16 validation images ...
113
+ [16:00:46] Validation step 3000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0003000.png
114
+ 3050 | 0 | 0.054053 | 0.066735 | 0.141264 | 0.056372 | -0.084892 | 1.0000 | -0.0035 | 183.00 | 2.00e-05 | 1:22:38 | 3:08:19
115
+ 3100 | 0 | 0.016633 | 0.065927 | 0.071029 | 0.018197 | -0.052832 | 1.0000 | -0.0036 | 186.00 | 2.00e-05 | 1:23:58 | 3:06:53
116
+ 3150 | 0 | 0.050390 | 0.065680 | 0.177060 | 0.051093 | -0.125967 | 1.0000 | -0.0037 | 189.00 | 2.00e-05 | 1:25:17 | 3:05:28
117
+ 3200 | 0 | 0.012156 | 0.064844 | 0.061595 | 0.013583 | -0.048012 | 1.0000 | -0.0038 | 192.00 | 2.00e-05 | 1:26:36 | 3:04:03
118
+ 3250 | 0 | 0.018822 | 0.064136 | 0.054872 | 0.021554 | -0.033318 | 1.0000 | -0.0039 | 195.00 | 2.00e-05 | 1:27:56 | 3:02:38
119
+ 3300 | 0 | 0.026534 | 0.063566 | 0.115018 | 0.029545 | -0.085473 | 1.0000 | -0.0040 | 198.00 | 2.00e-05 | 1:29:15 | 3:01:14
120
+ 3350 | 0 | 0.036386 | 0.063160 | 0.081843 | 0.037618 | -0.044225 | 1.0000 | -0.0041 | 201.00 | 2.00e-05 | 1:30:35 | 2:59:49
121
+ 3400 | 0 | 0.061414 | 0.063135 | 0.174158 | 0.068237 | -0.105921 | 1.0000 | -0.0042 | 204.00 | 2.00e-05 | 1:31:54 | 2:58:25
122
+ 3450 | 0 | 0.044043 | 0.062858 | 0.133613 | 0.050760 | -0.082853 | 1.0000 | -0.0043 | 207.00 | 2.00e-05 | 1:33:14 | 2:57:01
123
+ 3500 | 0 | 0.075373 | 0.063037 | 0.254228 | 0.078383 | -0.175845 | 1.0000 | -0.0044 | 210.00 | 2.00e-05 | 1:34:33 | 2:55:37
124
+ [16:14:02] [TAM @ 3500] mean=-0.0044 std=0.0101 max=0.0135 visits=28000
125
+ 3550 | 0 | 0.033957 | 0.062627 | 0.081371 | 0.036200 | -0.045170 | 1.0000 | -0.0046 | 213.00 | 2.00e-05 | 1:35:53 | 2:54:13
126
+ [16:16:13] --- Epoch 0 | Steps: 3583 | Avg Loss: 0.070845 ---
127
+ 3600 | 1 | 0.056103 | 0.062536 | 0.170672 | 0.061728 | -0.108943 | 1.0000 | -0.0047 | 216.00 | 2.00e-05 | 1:37:12 | 2:52:48
128
+ 3650 | 1 | 0.072476 | 0.062673 | 0.276084 | 0.097659 | -0.178425 | 1.0000 | -0.0048 | 219.00 | 2.00e-05 | 1:38:31 | 2:51:24
129
+ 3700 | 1 | 0.025928 | 0.062176 | 0.098303 | 0.030997 | -0.067306 | 1.0000 | -0.0049 | 222.00 | 2.00e-05 | 1:39:51 | 2:50:01
130
+ 3750 | 1 | 0.005203 | 0.061416 | 0.041002 | 0.005741 | -0.035262 | 1.0000 | -0.0050 | 225.00 | 2.00e-05 | 1:41:10 | 2:48:37
131
+ 3800 | 1 | 0.043575 | 0.061182 | 0.136237 | 0.048670 | -0.087567 | 1.0000 | -0.0051 | 228.00 | 2.00e-05 | 1:42:30 | 2:47:14
132
+ 3850 | 1 | 0.053888 | 0.061087 | 0.121555 | 0.056190 | -0.065365 | 1.0000 | -0.0052 | 231.00 | 2.00e-05 | 1:43:49 | 2:45:51
133
+ 3900 | 1 | 0.000989 | 0.060316 | 0.013160 | 0.001084 | -0.012076 | 1.0000 | -0.0053 | 234.00 | 2.00e-05 | 1:45:09 | 2:44:28
134
+ 3950 | 1 | 0.041071 | 0.060073 | 0.252410 | 0.057333 | -0.195077 | 1.0000 | -0.0054 | 237.00 | 2.00e-05 | 1:46:28 | 2:43:05
135
+ 4000 | 1 | 0.020110 | 0.059573 | 0.104938 | 0.022627 | -0.082311 | 1.0000 | -0.0056 | 240.00 | 2.00e-05 | 1:47:48 | 2:41:42
136
+ [16:27:16] [TAM @ 4000] mean=-0.0056 std=0.0113 max=0.0135 visits=31996
137
+ [16:27:22] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-4000
138
+ [16:27:23] Generating 16 validation images ...
139
+ [16:27:43] Validation step 4000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0004000.png
140
+ 4050 | 1 | 0.011955 | 0.058985 | 0.079972 | 0.012835 | -0.067137 | 1.0000 | -0.0057 | 243.00 | 2.00e-05 | 1:49:35 | 2:41:00
141
+ 4100 | 1 | 0.032968 | 0.058668 | 0.110564 | 0.035760 | -0.074804 | 1.0000 | -0.0058 | 246.00 | 2.00e-05 | 1:50:55 | 2:39:37
142
+ 4150 | 1 | 0.032416 | 0.058352 | 0.117220 | 0.037718 | -0.079502 | 1.0000 | -0.0059 | 249.00 | 2.00e-05 | 1:52:14 | 2:38:13
143
+ 4200 | 1 | 0.003640 | 0.057701 | 0.039665 | 0.004155 | -0.035510 | 1.0000 | -0.0061 | 252.00 | 2.00e-05 | 1:53:34 | 2:36:50
144
+ 4250 | 1 | 0.015262 | 0.057201 | 0.123468 | 0.016173 | -0.107295 | 1.0000 | -0.0062 | 255.00 | 2.00e-05 | 1:54:53 | 2:35:26
145
+ 4300 | 1 | 0.043991 | 0.057048 | 0.179646 | 0.047469 | -0.132178 | 1.0000 | -0.0063 | 258.00 | 2.00e-05 | 1:56:13 | 2:34:03
146
+ 4350 | 1 | 0.019474 | 0.056616 | 0.141424 | 0.022893 | -0.118531 | 1.0000 | -0.0064 | 261.00 | 2.00e-05 | 1:57:32 | 2:32:40
147
+ 4400 | 1 | 0.041287 | 0.056442 | 0.140830 | 0.043130 | -0.097700 | 1.0000 | -0.0065 | 264.00 | 2.00e-05 | 1:58:52 | 2:31:17
148
+ 4450 | 1 | 0.015094 | 0.055977 | 0.120050 | 0.017327 | -0.102724 | 1.0000 | -0.0066 | 267.00 | 2.00e-05 | 2:00:11 | 2:29:54
149
+ 4500 | 1 | 0.008524 | 0.055450 | 0.070787 | 0.010004 | -0.060783 | 1.0000 | -0.0068 | 270.00 | 2.00e-05 | 2:01:31 | 2:28:31
150
+ [16:40:59] [TAM @ 4500] mean=-0.0068 std=0.0124 max=0.0135 visits=35996
151
+ 4550 | 1 | 0.014837 | 0.055003 | 0.245392 | 0.028713 | -0.216679 | 1.0000 | -0.0069 | 273.00 | 2.00e-05 | 2:02:50 | 2:27:08
152
+ 4600 | 1 | 0.015800 | 0.054577 | 0.076582 | 0.017584 | -0.058999 | 1.0000 | -0.0070 | 276.00 | 2.00e-05 | 2:04:09 | 2:25:45
153
+ 4650 | 1 | 0.014423 | 0.054146 | 0.223653 | 0.032482 | -0.191170 | 1.0000 | -0.0071 | 279.00 | 2.00e-05 | 2:05:29 | 2:24:22
154
+ 4700 | 1 | 0.018810 | 0.053770 | 0.254468 | 0.031450 | -0.223017 | 1.0000 | -0.0072 | 282.00 | 2.00e-05 | 2:06:48 | 2:23:00
155
+ 4750 | 1 | 0.010215 | 0.053311 | 0.094283 | 0.012687 | -0.081597 | 1.0000 | -0.0074 | 285.00 | 2.00e-05 | 2:08:08 | 2:21:37
156
+ 4800 | 1 | 0.009139 | 0.052851 | 0.090172 | 0.011013 | -0.079159 | 1.0000 | -0.0075 | 288.00 | 2.00e-05 | 2:09:27 | 2:20:14
157
+ 4850 | 1 | 0.018712 | 0.052499 | 0.088698 | 0.020839 | -0.067860 | 1.0000 | -0.0077 | 291.00 | 2.00e-05 | 2:10:47 | 2:18:52
158
+ 4900 | 1 | 0.032229 | 0.052292 | 0.197754 | 0.036162 | -0.161592 | 1.0000 | -0.0078 | 294.00 | 2.00e-05 | 2:12:06 | 2:17:30
159
+ 4950 | 1 | 0.020260 | 0.051969 | 0.124628 | 0.024771 | -0.099857 | 1.0000 | -0.0079 | 297.00 | 2.00e-05 | 2:13:25 | 2:16:07
160
+ 5000 | 1 | 0.019127 | 0.051640 | 0.147692 | 0.023488 | -0.124203 | 1.0000 | -0.0080 | 300.00 | 2.00e-05 | 2:14:45 | 2:14:45
161
+ [16:54:14] [TAM @ 5000] mean=-0.0080 std=0.0136 max=0.0135 visits=39996
162
+ [16:54:14] Generating 16 validation images ...
163
+ [16:54:35] Validation step 5000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0005000.png
164
+ 5050 | 1 | 0.015989 | 0.051108 | 0.089664 | 0.020976 | -0.068688 | 1.0000 | -0.0081 | 300.00 | 2.00e-05 | 2:16:27 | 2:13:44
165
+ 5100 | 1 | 0.065749 | 0.050869 | 0.147162 | 0.071519 | -0.075643 | 1.0000 | -0.0082 | 300.00 | 2.00e-05 | 2:17:46 | 2:12:22
166
+ 5150 | 1 | 0.019656 | 0.050185 | 0.067538 | 0.022197 | -0.045341 | 1.0000 | -0.0082 | 300.00 | 2.00e-05 | 2:19:06 | 2:10:59
167
+ 5200 | 1 | 0.027937 | 0.048237 | 0.105681 | 0.030590 | -0.075091 | 1.0000 | -0.0083 | 300.00 | 2.00e-05 | 2:20:25 | 2:09:37
168
+ 5250 | 1 | 0.090413 | 0.048261 | 0.149096 | 0.096332 | -0.052765 | 1.0000 | -0.0084 | 300.00 | 2.00e-05 | 2:21:45 | 2:08:15
169
+ 5300 | 1 | 0.018136 | 0.046788 | 0.096052 | 0.020868 | -0.075184 | 1.0000 | -0.0085 | 300.00 | 2.00e-05 | 2:23:04 | 2:06:52
170
+ 5350 | 1 | 0.051838 | 0.046693 | 0.077462 | 0.052660 | -0.024802 | 1.0000 | -0.0086 | 300.00 | 2.00e-05 | 2:24:24 | 2:05:30
171
+ 5400 | 1 | 0.056333 | 0.046504 | 0.136872 | 0.059139 | -0.077733 | 1.0000 | -0.0087 | 300.00 | 2.00e-05 | 2:25:43 | 2:04:08
172
+ 5450 | 1 | 0.257312 | 0.048703 | 0.259638 | 0.247841 | -0.011798 | 1.0000 | -0.0087 | 300.00 | 2.00e-05 | 2:27:03 | 2:02:46
173
+ 5500 | 1 | 0.042649 | 0.048715 | 0.147661 | 0.046742 | -0.100919 | 1.0000 | -0.0088 | 300.00 | 2.00e-05 | 2:28:22 | 2:01:23
174
+ [17:07:51] [TAM @ 5500] mean=-0.0088 std=0.0141 max=0.0151 visits=43996
175
+ 5550 | 1 | 0.005689 | 0.047192 | 0.066655 | 0.005958 | -0.060696 | 1.0000 | -0.0089 | 300.00 | 2.00e-05 | 2:29:42 | 2:00:01
176
+ 5600 | 1 | 0.015099 | 0.046481 | 0.051755 | 0.016732 | -0.035023 | 1.0000 | -0.0089 | 300.00 | 2.00e-05 | 2:31:01 | 1:58:39
177
+ 5650 | 1 | 0.115648 | 0.047093 | 0.147412 | 0.116749 | -0.030663 | 1.0000 | -0.0090 | 300.00 | 2.00e-05 | 2:32:21 | 1:57:17
178
+ 5700 | 1 | 0.066625 | 0.047508 | 0.112914 | 0.071851 | -0.041063 | 1.0000 | -0.0091 | 300.00 | 2.00e-05 | 2:33:40 | 1:55:55
179
+ 5750 | 1 | 0.069428 | 0.047670 | 0.067608 | 0.067479 | -0.000129 | 1.0000 | -0.0092 | 300.00 | 2.00e-05 | 2:35:00 | 1:54:34
180
+ 5800 | 1 | 0.070371 | 0.047666 | 0.253597 | 0.092588 | -0.161009 | 1.0000 | -0.0093 | 300.00 | 2.00e-05 | 2:36:19 | 1:53:12
181
+ 5850 | 1 | 0.012051 | 0.047178 | 0.095832 | 0.012787 | -0.083045 | 1.0000 | -0.0093 | 300.00 | 2.00e-05 | 2:37:39 | 1:51:50
182
+ 5900 | 1 | 0.087558 | 0.047527 | 0.106226 | 0.087098 | -0.019128 | 1.0000 | -0.0094 | 300.00 | 2.00e-05 | 2:38:58 | 1:50:28
183
+ 5950 | 1 | 0.023087 | 0.047034 | 0.028356 | 0.025508 | -0.002848 | 1.0000 | -0.0095 | 300.00 | 2.00e-05 | 2:40:18 | 1:49:06
184
+ 6000 | 1 | 0.040269 | 0.046718 | 0.122048 | 0.049579 | -0.072470 | 1.0000 | -0.0096 | 300.00 | 2.00e-05 | 2:41:37 | 1:47:45
185
+ [17:21:06] [TAM @ 6000] mean=-0.0096 std=0.0146 max=0.0151 visits=47996
186
+ [17:21:12] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-6000
187
+ [17:21:12] Generating 16 validation images ...
188
+ [17:21:33] Validation step 6000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0006000.png
189
+ 6050 | 1 | 0.110506 | 0.047097 | 0.118809 | 0.108442 | -0.010366 | 1.0000 | -0.0096 | 300.00 | 2.00e-05 | 2:43:26 | 1:46:42
190
+ 6100 | 1 | 0.058005 | 0.047358 | 0.156593 | 0.059173 | -0.097420 | 1.0000 | -0.0097 | 300.00 | 2.00e-05 | 2:44:46 | 1:45:20
191
+ 6150 | 1 | 0.017597 | 0.046910 | 0.097756 | 0.019761 | -0.077995 | 1.0000 | -0.0098 | 300.00 | 2.00e-05 | 2:46:07 | 1:43:59
192
+ 6200 | 1 | 0.101616 | 0.046832 | 0.094421 | 0.089703 | -0.004718 | 1.0000 | -0.0098 | 300.00 | 2.00e-05 | 2:47:30 | 1:42:40
193
+ 6250 | 1 | 0.156082 | 0.047634 | 0.158955 | 0.152411 | -0.006544 | 1.0000 | -0.0099 | 300.00 | 2.00e-05 | 2:48:53 | 1:41:20
194
+ 6300 | 1 | 0.085751 | 0.047117 | 0.113075 | 0.085124 | -0.027951 | 1.0000 | -0.0100 | 300.00 | 2.00e-05 | 2:50:17 | 1:40:00
195
+ 6350 | 1 | 0.031969 | 0.046637 | 0.275750 | 0.051790 | -0.223960 | 1.0000 | -0.0100 | 300.00 | 2.00e-05 | 2:51:42 | 1:38:41
196
+ 6400 | 1 | 0.089239 | 0.046939 | 0.162599 | 0.096422 | -0.066177 | 1.0000 | -0.0101 | 300.00 | 2.00e-05 | 2:53:06 | 1:37:22
197
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198
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199
+ [17:35:24] [TAM @ 6500] mean=-0.0102 std=0.0148 max=0.0151 visits=51996
200
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201
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202
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203
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210
+ [17:49:24] [TAM @ 7000] mean=-0.0110 std=0.0151 max=0.0151 visits=55996
211
+ [17:49:27] Generating 16 validation images ...
212
+ [17:49:49] Validation step 7000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0007000.png
213
+ 7050 | 1 | 0.048384 | 0.047774 | 0.238381 | 0.076711 | -0.161669 | 1.0000 | -0.0111 | 300.00 | 2.00e-05 | 3:11:46 | 1:20:14
214
+ 7100 | 1 | 0.037647 | 0.047331 | 0.049383 | 0.040375 | -0.009009 | 1.0000 | -0.0112 | 300.00 | 2.00e-05 | 3:13:08 | 1:18:53
215
+ 7150 | 1 | 0.026324 | 0.046831 | 0.103747 | 0.029246 | -0.074500 | 1.0000 | -0.0112 | 300.00 | 2.00e-05 | 3:14:31 | 1:17:32
216
+ [17:54:28] --- Epoch 1 | Steps: 3583 | Avg Loss: 0.045049 ---
217
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218
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219
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224
+ [18:03:47] [TAM @ 7500] mean=-0.0117 std=0.0155 max=0.0151 visits=59992
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235
+ [18:17:50] [TAM @ 8000] mean=-0.0124 std=0.0159 max=0.0151 visits=63992
236
+ [18:17:56] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-8000
237
+ [18:18:00] Generating 16 validation images ...
238
+ [18:18:21] Validation step 8000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0008000.png
239
+ 8050 | 2 | 0.055756 | 0.054174 | 0.291414 | 0.073962 | -0.217452 | 1.0000 | -0.0124 | 300.00 | 2.00e-05 | 3:40:19 | 0:53:22
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244
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248
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249
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255
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256
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260
+ [18:46:11] [TAM @ 9000] mean=-0.0137 std=0.0167 max=0.0151 visits=71992
261
+ [18:46:14] Generating 16 validation images ...
262
+ [18:46:36] Validation step 9000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0009000.png
263
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264
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+ [19:00:31] [TAM @ 9500] mean=-0.0143 std=0.0169 max=0.0151 visits=75992
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280
+ 9850 | 2 | 0.040901 | 0.069259 | 0.095293 | 0.043370 | -0.051923 | 1.0000 | -0.0148 | 300.00 | 2.00e-05 | 4:30:48 | 0:04:07
281
+ 9900 | 2 | 0.044351 | 0.069380 | 0.081403 | 0.047353 | -0.034050 | 1.0000 | -0.0149 | 300.00 | 2.00e-05 | 4:32:12 | 0:02:44
282
+ 9950 | 2 | 0.077616 | 0.069954 | 0.152810 | 0.084167 | -0.068643 | 1.0000 | -0.0149 | 300.00 | 2.00e-05 | 4:33:37 | 0:01:22
283
+ 10000 | 2 | 0.044004 | 0.070203 | 0.170622 | 0.049401 | -0.121221 | 1.0000 | -0.0150 | 300.00 | 2.00e-05 | 4:35:02 | 0:00:00
284
+ [19:14:31] [TAM @ 10000] mean=-0.0150 std=0.0173 max=0.0143 visits=79992
285
+ [19:14:37] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-10000
286
+ [19:14:40] Generating 16 validation images ...
287
+ [19:15:03] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
288
+ [19:15:04] --- Epoch 2 | Steps: 2834 | Avg Loss: 0.059143 ---
289
+ [19:15:04] Saving final model ...
290
+ [19:15:25] Pipeline saved -> RESULTS/102flowers/run_017
291
+ [19:15:25] Generating final validation collage ...
292
+ [19:15:25] Generating 16 validation images ...
293
+ [19:15:46] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
294
+ [19:15:46]
295
+ [19:15:46] ============================================================
296
+ [19:15:46] TRAINING SUMMARY
297
+ [19:15:46] ============================================================
298
+ [19:15:46] Total steps : 200
299
+ [19:15:46] Final loss : 0.044004
300
+ [19:15:46] Avg last 100 : 0.070203
301
+ [19:15:46] Min loss : 0.000989
302
+ [19:15:46] Total time : 4:36:18
303
+ [19:15:46] Output : RESULTS/102flowers/run_017
304
+ [19:15:46] ============================================================
102flowers/pixart_sigma/RAD/training_args.json ADDED
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+ {
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+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "data_dir": "../data/102flowers",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
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+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
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+ "train_batch_size": 8,
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+ "learning_rate": 2e-05,
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+ "lr_warmup_steps": 500,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "log_every_n_steps": 50,
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+ "advantage_temperature": 0.5,
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+ "curriculum_steps": 5000,
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+ "max_timestep_delta": 300,
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+ "use_tam": true,
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+ "tam_alpha": 0.9,
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+ "tam_log_steps": 500,
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+ "use_sad": true,
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+ "sad_temperature": 0.5,
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+ "output_dir": "RESULTS/102flowers/run_017"
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+ }
102flowers/pixart_sigma/RAD/training_summary.json ADDED
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+ {
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+ "total_steps": 200,
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+ "final_loss": 0.04400370270013809,
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+ "total_time": "4:36:18"
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+ }
102flowers/pixart_sigma/SRA/model_index.json ADDED
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+ {
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+ "_class_name": "PixArtSigmaPipeline",
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+ "_diffusers_version": "0.37.1",
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+ "scheduler": [
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+ "diffusers",
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+ "DPMSolverMultistepScheduler"
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "T5EncoderModel"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "T5Tokenizer"
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+ ],
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+ "transformer": [
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+ "diffusers",
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+ "PixArtTransformer2DModel"
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+ ],
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderKL"
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+ ]
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+ }
102flowers/pixart_sigma/SRA/training.log ADDED
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1
+ Training started: 2026-08-20 09:58:29
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [09:58:29] Run directory: RESULTS/102flowers/run_016
6
+ [09:58:29] Loading PixArt-Sigma components ...
7
+ [09:58:36] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [09:58:36] Building SRA teacher (EMA copy of transformer) and projection head ...
9
+ [09:58:37] Alignment: student block 6 -> teacher block 14 (of 28)
10
+ [09:58:37] Time interval k ~ U(0, 0.2) (fraction of num_train_timesteps), teacher_t = clamp(student_t - k*T, 0, T-1)
11
+ [09:58:37] Loss type: sml1, EMA decay: 0.9999
12
+ [09:58:37] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35
13
+ [09:58:37] SRA projection head params: 5,311,872
14
+ [09:58:37] Building dataset ...
15
+ [09:58:37] SRA teacher initialized (synced with student weights).
16
+ [09:58:37]
17
+ [09:58:37] ================================================================
18
+ [09:58:37] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
19
+ [09:58:37] Output dir = RESULTS/102flowers/run_016
20
+ [09:58:37] Num examples = 28660
21
+ [09:58:37] Num epochs = 3
22
+ [09:58:37] Batch/device = 8
23
+ [09:58:37] Grad accum = 1
24
+ [09:58:37] Effective BS = 8
25
+ [09:58:37] Total optim steps = 10000
26
+ [09:58:37] LR = 2e-05
27
+ [09:58:37] Precision = bf16
28
+ [09:58:37] Resolution = 512x512
29
+ [09:58:37] Max seq length = 300
30
+ [09:58:37] ================================================================
31
+ [09:58:37]
32
+ 50 | 0 | 0.281076 | 0.281076 | 2.00e-06 | 0:01:19 | 4:24:35 | Gen 0.161142 | Align 0.599674
33
+ 100 | 0 | 0.209821 | 0.245448 | 4.00e-06 | 0:02:31 | 4:09:45 | Gen 0.088954 | Align 0.604331
34
+ 150 | 0 | 0.232369 | 0.241089 | 6.00e-06 | 0:03:42 | 4:04:03 | Gen 0.115951 | Align 0.582086
35
+ 200 | 0 | 0.278386 | 0.250413 | 8.00e-06 | 0:04:54 | 4:00:37 | Gen 0.160543 | Align 0.589218
36
+ 250 | 0 | 0.324173 | 0.265165 | 1.00e-05 | 0:06:06 | 3:58:05 | Gen 0.206979 | Align 0.585969
37
+ 300 | 0 | 0.159011 | 0.247473 | 1.20e-05 | 0:07:17 | 3:56:00 | Gen 0.044749 | Align 0.571312
38
+ 350 | 0 | 0.162966 | 0.235400 | 1.40e-05 | 0:08:29 | 3:54:10 | Gen 0.050511 | Align 0.562275
39
+ 400 | 0 | 0.168478 | 0.227035 | 1.60e-05 | 0:09:41 | 3:52:29 | Gen 0.063031 | Align 0.527235
40
+ 450 | 0 | 0.237122 | 0.228156 | 1.80e-05 | 0:10:52 | 3:50:54 | Gen 0.129764 | Align 0.536789
41
+ 500 | 0 | 0.243461 | 0.229686 | 2.00e-05 | 0:12:04 | 3:49:24 | Gen 0.138076 | Align 0.526926
42
+ 550 | 0 | 0.173617 | 0.224589 | 2.00e-05 | 0:13:16 | 3:47:58 | Gen 0.069689 | Align 0.519641
43
+ 600 | 0 | 0.206273 | 0.223063 | 2.00e-05 | 0:14:27 | 3:46:33 | Gen 0.103995 | Align 0.511389
44
+ 650 | 0 | 0.229377 | 0.223548 | 2.00e-05 | 0:15:39 | 3:45:11 | Gen 0.130234 | Align 0.495713
45
+ 700 | 0 | 0.307979 | 0.229579 | 2.00e-05 | 0:16:50 | 3:43:50 | Gen 0.205358 | Align 0.513105
46
+ 750 | 0 | 0.137993 | 0.223473 | 2.00e-05 | 0:18:02 | 3:42:31 | Gen 0.042457 | Align 0.477681
47
+ 800 | 0 | 0.274756 | 0.226679 | 2.00e-05 | 0:19:14 | 3:41:12 | Gen 0.171980 | Align 0.513881
48
+ 850 | 0 | 0.182367 | 0.224072 | 1.99e-05 | 0:20:25 | 3:39:55 | Gen 0.088381 | Align 0.469932
49
+ 900 | 0 | 0.290475 | 0.227761 | 1.99e-05 | 0:21:37 | 3:38:38 | Gen 0.190529 | Align 0.499733
50
+ 950 | 0 | 0.246903 | 0.228769 | 1.99e-05 | 0:22:48 | 3:37:21 | Gen 0.149563 | Align 0.486702
51
+ 1000 | 0 | 0.120534 | 0.223357 | 1.99e-05 | 0:24:00 | 3:36:05 | Gen 0.029532 | Align 0.455008
52
+ [10:22:30] Generating 16 validation images ...
53
+ [10:22:51] Validation step 1000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0001000.png
54
+ 1050 | 0 | 0.189662 | 0.221752 | 1.98e-05 | 0:25:33 | 3:37:51 | Gen 0.100505 | Align 0.445784
55
+ 1100 | 0 | 0.335211 | 0.226909 | 1.98e-05 | 0:26:45 | 3:36:26 | Gen 0.239386 | Align 0.479124
56
+ 1150 | 0 | 0.358606 | 0.232635 | 1.98e-05 | 0:27:56 | 3:35:03 | Gen 0.262509 | Align 0.480482
57
+ 1200 | 0 | 0.194667 | 0.231053 | 1.97e-05 | 0:29:08 | 3:33:41 | Gen 0.102727 | Align 0.459701
58
+ 1250 | 0 | 0.169099 | 0.228575 | 1.97e-05 | 0:30:20 | 3:32:20 | Gen 0.078542 | Align 0.452782
59
+ 1300 | 0 | 0.235287 | 0.228833 | 1.97e-05 | 0:31:31 | 3:30:59 | Gen 0.140270 | Align 0.475082
60
+ 1350 | 0 | 0.171947 | 0.226726 | 1.96e-05 | 0:32:43 | 3:29:39 | Gen 0.083732 | Align 0.441078
61
+ 1400 | 0 | 0.222741 | 0.226584 | 1.96e-05 | 0:33:54 | 3:28:20 | Gen 0.127311 | Align 0.477151
62
+ 1450 | 0 | 0.275180 | 0.228260 | 1.95e-05 | 0:35:06 | 3:27:01 | Gen 0.181311 | Align 0.469347
63
+ 1500 | 0 | 0.103770 | 0.224110 | 1.95e-05 | 0:36:18 | 3:25:43 | Gen 0.020936 | Align 0.414169
64
+ 1550 | 0 | 0.135199 | 0.221242 | 1.94e-05 | 0:37:29 | 3:24:25 | Gen 0.047835 | Align 0.451132
65
+ 1600 | 0 | 0.233250 | 0.221617 | 1.93e-05 | 0:38:41 | 3:23:08 | Gen 0.145775 | Align 0.466814
66
+ 1650 | 0 | 0.104127 | 0.218057 | 1.93e-05 | 0:39:53 | 3:21:50 | Gen 0.025696 | Align 0.432540
67
+ 1700 | 0 | 0.097267 | 0.214504 | 1.92e-05 | 0:41:04 | 3:20:34 | Gen 0.023026 | Align 0.423130
68
+ 1750 | 0 | 0.235845 | 0.215114 | 1.92e-05 | 0:42:16 | 3:19:17 | Gen 0.156849 | Align 0.465285
69
+ 1800 | 0 | 0.233016 | 0.215611 | 1.91e-05 | 0:43:28 | 3:18:01 | Gen 0.153229 | Align 0.485658
70
+ 1850 | 0 | 0.220633 | 0.215747 | 1.90e-05 | 0:44:39 | 3:16:45 | Gen 0.148443 | Align 0.454111
71
+ 1900 | 0 | 0.223837 | 0.215960 | 1.89e-05 | 0:45:51 | 3:15:29 | Gen 0.148897 | Align 0.487171
72
+ 1950 | 0 | 0.178852 | 0.215009 | 1.89e-05 | 0:47:03 | 3:14:14 | Gen 0.108828 | Align 0.470434
73
+ 2000 | 0 | 0.436719 | 0.220551 | 1.88e-05 | 0:48:14 | 3:12:58 | Gen 0.366276 | Align 0.489080
74
+ [10:46:50] Saved checkpoint -> RESULTS/102flowers/run_016/checkpoint-2000
75
+ [10:46:50] Generating 16 validation images ...
76
+ [10:47:11] Validation step 2000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0002000.png
77
+ 2050 | 0 | 0.227217 | 0.220714 | 1.87e-05 | 0:49:53 | 3:13:27 | Gen 0.160906 | Align 0.475793
78
+ 2100 | 0 | 0.106261 | 0.217989 | 1.86e-05 | 0:51:04 | 3:12:09 | Gen 0.047177 | Align 0.438110
79
+ 2150 | 0 | 0.116975 | 0.215640 | 1.85e-05 | 0:52:16 | 3:10:51 | Gen 0.059169 | Align 0.442969
80
+ 2200 | 0 | 0.152718 | 0.214210 | 1.85e-05 | 0:53:27 | 3:09:33 | Gen 0.097889 | Align 0.434200
81
+ 2250 | 0 | 0.283565 | 0.215751 | 1.84e-05 | 0:54:39 | 3:08:16 | Gen 0.223223 | Align 0.493843
82
+ 2300 | 0 | 0.151731 | 0.214359 | 1.83e-05 | 0:55:51 | 3:06:59 | Gen 0.096671 | Align 0.465683
83
+ 2350 | 0 | 0.173527 | 0.213490 | 1.82e-05 | 0:57:02 | 3:05:42 | Gen 0.120023 | Align 0.467655
84
+ 2400 | 0 | 0.287702 | 0.215036 | 1.81e-05 | 0:58:14 | 3:04:26 | Gen 0.232420 | Align 0.499360
85
+ 2450 | 0 | 0.173211 | 0.214183 | 1.80e-05 | 0:59:26 | 3:03:09 | Gen 0.126427 | Align 0.436731
86
+ 2500 | 0 | 0.099586 | 0.211891 | 1.79e-05 | 1:00:37 | 3:01:53 | Gen 0.054269 | Align 0.437178
87
+ 2550 | 0 | 0.159958 | 0.210873 | 1.78e-05 | 1:01:49 | 3:00:37 | Gen 0.114561 | Align 0.452599
88
+ 2600 | 0 | 0.128083 | 0.209280 | 1.77e-05 | 1:03:01 | 2:59:21 | Gen 0.084650 | Align 0.447496
89
+ 2650 | 0 | 0.104263 | 0.207299 | 1.76e-05 | 1:04:12 | 2:58:05 | Gen 0.062440 | Align 0.445320
90
+ 2700 | 0 | 0.086344 | 0.205059 | 1.75e-05 | 1:05:24 | 2:56:50 | Gen 0.045550 | Align 0.448893
91
+ 2750 | 0 | 0.188372 | 0.204756 | 1.74e-05 | 1:06:35 | 2:55:34 | Gen 0.146959 | Align 0.470937
92
+ 2800 | 0 | 0.174222 | 0.204210 | 1.72e-05 | 1:07:47 | 2:54:19 | Gen 0.133199 | Align 0.482108
93
+ 2850 | 0 | 0.157089 | 0.203384 | 1.71e-05 | 1:08:59 | 2:53:04 | Gen 0.118193 | Align 0.472387
94
+ 2900 | 0 | 0.158979 | 0.202618 | 1.70e-05 | 1:10:10 | 2:51:49 | Gen 0.123039 | Align 0.451091
95
+ 2950 | 0 | 0.149409 | 0.201716 | 1.69e-05 | 1:11:22 | 2:50:34 | Gen 0.113118 | Align 0.470733
96
+ 3000 | 0 | 0.108892 | 0.200169 | 1.68e-05 | 1:12:34 | 2:49:19 | Gen 0.076134 | Align 0.439109
97
+ [11:11:03] Generating 16 validation images ...
98
+ [11:11:24] Validation step 3000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0003000.png
99
+ 3050 | 0 | 0.103464 | 0.198584 | 1.67e-05 | 1:14:06 | 2:48:53 | Gen 0.071405 | Align 0.444110
100
+ 3100 | 0 | 0.143634 | 0.197698 | 1.65e-05 | 1:15:18 | 2:47:37 | Gen 0.112638 | Align 0.443744
101
+ 3150 | 0 | 0.181425 | 0.197439 | 1.64e-05 | 1:16:30 | 2:46:21 | Gen 0.150136 | Align 0.462925
102
+ 3200 | 0 | 0.188649 | 0.197302 | 1.63e-05 | 1:17:41 | 2:45:06 | Gen 0.158992 | Align 0.453449
103
+ 3250 | 0 | 0.197650 | 0.197307 | 1.61e-05 | 1:18:53 | 2:43:50 | Gen 0.169274 | Align 0.448380
104
+ 3300 | 0 | 0.110617 | 0.195994 | 1.60e-05 | 1:20:05 | 2:42:35 | Gen 0.085765 | Align 0.405823
105
+ 3350 | 0 | 0.179027 | 0.195741 | 1.59e-05 | 1:21:16 | 2:41:20 | Gen 0.151609 | Align 0.462695
106
+ 3400 | 0 | 0.056610 | 0.193695 | 1.57e-05 | 1:22:28 | 2:40:05 | Gen 0.031644 | Align 0.435408
107
+ 3450 | 0 | 0.139949 | 0.192916 | 1.56e-05 | 1:23:39 | 2:38:50 | Gen 0.114520 | Align 0.458303
108
+ 3500 | 0 | 0.176882 | 0.192687 | 1.55e-05 | 1:24:51 | 2:37:35 | Gen 0.152477 | Align 0.454564
109
+ 3550 | 0 | 0.121024 | 0.191677 | 1.53e-05 | 1:26:03 | 2:36:20 | Gen 0.097050 | Align 0.461460
110
+ [11:25:19] --- Epoch 0 | Steps: 3583 | Avg Loss: 0.188856 ---
111
+ 3600 | 1 | 0.099149 | 0.190392 | 1.52e-05 | 1:27:14 | 2:35:05 | Gen 0.076419 | Align 0.452160
112
+ 3650 | 1 | 0.090342 | 0.189022 | 1.50e-05 | 1:28:25 | 2:33:50 | Gen 0.068023 | Align 0.458819
113
+ 3700 | 1 | 0.118171 | 0.188064 | 1.49e-05 | 1:29:37 | 2:32:36 | Gen 0.097170 | Align 0.446169
114
+ 3750 | 1 | 0.232549 | 0.188657 | 1.48e-05 | 1:30:49 | 2:31:21 | Gen 0.209754 | Align 0.500468
115
+ 3800 | 1 | 0.077911 | 0.187200 | 1.46e-05 | 1:32:00 | 2:30:07 | Gen 0.058346 | Align 0.443924
116
+ 3850 | 1 | 0.147041 | 0.186679 | 1.45e-05 | 1:33:12 | 2:28:53 | Gen 0.126803 | Align 0.474558
117
+ 3900 | 1 | 0.194628 | 0.186780 | 1.43e-05 | 1:34:23 | 2:27:38 | Gen 0.175073 | Align 0.473868
118
+ 3950 | 1 | 0.149427 | 0.186308 | 1.42e-05 | 1:35:35 | 2:26:24 | Gen 0.130034 | Align 0.485644
119
+ 4000 | 1 | 0.147321 | 0.185820 | 1.40e-05 | 1:36:47 | 2:25:10 | Gen 0.129261 | Align 0.467378
120
+ [11:35:22] Saved checkpoint -> RESULTS/102flowers/run_016/checkpoint-4000
121
+ [11:35:22] Generating 16 validation images ...
122
+ [11:35:43] Validation step 4000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0004000.png
123
+ 4050 | 1 | 0.166930 | 0.185587 | 1.39e-05 | 1:38:25 | 2:24:36 | Gen 0.149082 | Align 0.477349
124
+ 4100 | 1 | 0.263772 | 0.186541 | 1.37e-05 | 1:39:37 | 2:23:21 | Gen 0.246618 | Align 0.474138
125
+ 4150 | 1 | 0.171328 | 0.186357 | 1.36e-05 | 1:40:48 | 2:22:06 | Gen 0.154656 | Align 0.476243
126
+ 4200 | 1 | 0.200586 | 0.186527 | 1.34e-05 | 1:42:00 | 2:20:51 | Gen 0.184852 | Align 0.464472
127
+ 4250 | 1 | 0.194798 | 0.186624 | 1.32e-05 | 1:43:11 | 2:19:37 | Gen 0.178640 | Align 0.492934
128
+ 4300 | 1 | 0.190699 | 0.186671 | 1.31e-05 | 1:44:23 | 2:18:22 | Gen 0.176424 | Align 0.450027
129
+ 4350 | 1 | 0.117299 | 0.185874 | 1.29e-05 | 1:45:35 | 2:17:08 | Gen 0.103638 | Align 0.445109
130
+ 4400 | 1 | 0.222071 | 0.186285 | 1.28e-05 | 1:46:46 | 2:15:54 | Gen 0.207686 | Align 0.484359
131
+ 4450 | 1 | 0.128136 | 0.185632 | 1.26e-05 | 1:47:58 | 2:14:39 | Gen 0.114831 | Align 0.462953
132
+ 4500 | 1 | 0.094732 | 0.184622 | 1.25e-05 | 1:49:10 | 2:13:25 | Gen 0.082587 | Align 0.436726
133
+ 4550 | 1 | 0.076861 | 0.183438 | 1.23e-05 | 1:50:21 | 2:12:11 | Gen 0.064760 | Align 0.449711
134
+ 4600 | 1 | 0.103449 | 0.182568 | 1.21e-05 | 1:51:33 | 2:10:57 | Gen 0.091494 | Align 0.459147
135
+ 4650 | 1 | 0.056666 | 0.181215 | 1.20e-05 | 1:52:44 | 2:09:43 | Gen 0.045410 | Align 0.446770
136
+ 4700 | 1 | 0.096500 | 0.180313 | 1.18e-05 | 1:53:56 | 2:08:29 | Gen 0.085565 | Align 0.448561
137
+ 4750 | 1 | 0.069601 | 0.179148 | 1.16e-05 | 1:55:08 | 2:07:15 | Gen 0.059673 | Align 0.420854
138
+ 4800 | 1 | 0.033366 | 0.177629 | 1.15e-05 | 1:56:19 | 2:06:01 | Gen 0.023689 | Align 0.423890
139
+ 4850 | 1 | 0.271012 | 0.178592 | 1.13e-05 | 1:57:31 | 2:04:47 | Gen 0.260265 | Align 0.486498
140
+ 4900 | 1 | 0.044712 | 0.177226 | 1.12e-05 | 1:58:42 | 2:03:33 | Gen 0.035591 | Align 0.426777
141
+ 4950 | 1 | 0.130314 | 0.176752 | 1.10e-05 | 1:59:54 | 2:02:19 | Gen 0.120826 | Align 0.458732
142
+ 5000 | 1 | 0.197604 | 0.176961 | 1.08e-05 | 2:01:05 | 2:01:05 | Gen 0.188384 | Align 0.460676
143
+ [11:59:35] Generating 16 validation images ...
144
+ [11:59:56] Validation step 5000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0005000.png
145
+ 5050 | 1 | 0.091868 | 0.175069 | 1.07e-05 | 2:02:38 | 2:00:12 | Gen 0.083584 | Align 0.427765
146
+ 5100 | 1 | 0.125483 | 0.174225 | 1.05e-05 | 2:03:49 | 1:58:58 | Gen 0.117060 | Align 0.449496
147
+ 5150 | 1 | 0.115431 | 0.173056 | 1.03e-05 | 2:05:01 | 1:57:44 | Gen 0.107154 | Align 0.456486
148
+ 5200 | 1 | 0.169278 | 0.171965 | 1.02e-05 | 2:06:12 | 1:56:30 | Gen 0.160923 | Align 0.476188
149
+ 5250 | 1 | 0.147071 | 0.170194 | 1.00e-05 | 2:07:24 | 1:55:16 | Gen 0.139207 | Align 0.463207
150
+ 5300 | 1 | 0.257624 | 0.171180 | 9.83e-06 | 2:08:36 | 1:54:02 | Gen 0.249657 | Align 0.484982
151
+ 5350 | 1 | 0.279456 | 0.172345 | 9.67e-06 | 2:09:47 | 1:52:48 | Gen 0.271561 | Align 0.496575
152
+ 5400 | 1 | 0.091067 | 0.171571 | 9.50e-06 | 2:10:59 | 1:51:35 | Gen 0.084089 | Align 0.453622
153
+ 5450 | 1 | 0.067706 | 0.169876 | 9.34e-06 | 2:12:10 | 1:50:21 | Gen 0.060974 | Align 0.452252
154
+ 5500 | 1 | 0.332698 | 0.170769 | 9.17e-06 | 2:13:22 | 1:49:07 | Gen 0.325340 | Align 0.510922
155
+ 5550 | 1 | 0.110232 | 0.170135 | 9.01e-06 | 2:14:34 | 1:47:53 | Gen 0.103676 | Align 0.470439
156
+ 5600 | 1 | 0.037436 | 0.168447 | 8.85e-06 | 2:15:45 | 1:46:40 | Gen 0.031713 | Align 0.424339
157
+ 5650 | 1 | 0.152203 | 0.167675 | 8.68e-06 | 2:16:57 | 1:45:26 | Gen 0.145938 | Align 0.480143
158
+ 5700 | 1 | 0.170384 | 0.166299 | 8.52e-06 | 2:18:08 | 1:44:13 | Gen 0.164220 | Align 0.488206
159
+ 5750 | 1 | 0.067443 | 0.165593 | 8.35e-06 | 2:19:20 | 1:42:59 | Gen 0.062034 | Align 0.442676
160
+ 5800 | 1 | 0.060645 | 0.163452 | 8.19e-06 | 2:20:32 | 1:41:46 | Gen 0.055208 | Align 0.459913
161
+ 5850 | 1 | 0.196670 | 0.163595 | 8.03e-06 | 2:21:43 | 1:40:32 | Gen 0.191320 | Align 0.467635
162
+ 5900 | 1 | 0.075920 | 0.161450 | 7.87e-06 | 2:22:55 | 1:39:19 | Gen 0.070809 | Align 0.461679
163
+ 5950 | 1 | 0.108063 | 0.160061 | 7.71e-06 | 2:24:06 | 1:38:05 | Gen 0.103613 | Align 0.415410
164
+ 6000 | 1 | 0.219841 | 0.161054 | 7.55e-06 | 2:25:18 | 1:36:52 | Gen 0.214942 | Align 0.472594
165
+ [12:23:53] Saved checkpoint -> RESULTS/102flowers/run_016/checkpoint-6000
166
+ [12:23:54] Generating 16 validation images ...
167
+ [12:24:14] Validation step 6000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0006000.png
168
+ 6050 | 1 | 0.151184 | 0.160670 | 7.39e-06 | 2:26:56 | 1:35:56 | Gen 0.146395 | Align 0.477535
169
+ 6100 | 1 | 0.175224 | 0.159070 | 7.23e-06 | 2:28:08 | 1:34:42 | Gen 0.170613 | Align 0.475021
170
+ 6150 | 1 | 0.072897 | 0.156213 | 7.07e-06 | 2:29:20 | 1:33:29 | Gen 0.068417 | Align 0.477114
171
+ 6200 | 1 | 0.217985 | 0.156446 | 6.91e-06 | 2:30:31 | 1:32:15 | Gen 0.213718 | Align 0.469573
172
+ 6250 | 1 | 0.106881 | 0.155824 | 6.75e-06 | 2:31:43 | 1:31:02 | Gen 0.102887 | Align 0.454206
173
+ 6300 | 1 | 0.148156 | 0.154952 | 6.60e-06 | 2:32:54 | 1:29:48 | Gen 0.144175 | Align 0.467881
174
+ 6350 | 1 | 0.203575 | 0.155269 | 6.44e-06 | 2:34:06 | 1:28:34 | Gen 0.199829 | Align 0.454973
175
+ 6400 | 1 | 0.220172 | 0.155243 | 6.29e-06 | 2:35:18 | 1:27:21 | Gen 0.216311 | Align 0.484577
176
+ 6450 | 1 | 0.070538 | 0.153197 | 6.14e-06 | 2:36:29 | 1:26:08 | Gen 0.067123 | Align 0.443021
177
+ 6500 | 1 | 0.219450 | 0.154353 | 5.98e-06 | 2:37:41 | 1:24:54 | Gen 0.215620 | Align 0.513387
178
+ 6550 | 1 | 0.141438 | 0.154416 | 5.83e-06 | 2:38:52 | 1:23:41 | Gen 0.138093 | Align 0.463347
179
+ 6600 | 1 | 0.087221 | 0.152955 | 5.68e-06 | 2:40:04 | 1:22:27 | Gen 0.084063 | Align 0.451970
180
+ 6650 | 1 | 0.302079 | 0.154935 | 5.53e-06 | 2:41:16 | 1:21:14 | Gen 0.298981 | Align 0.458452
181
+ 6700 | 1 | 0.093648 | 0.154899 | 5.39e-06 | 2:42:27 | 1:20:01 | Gen 0.090806 | Align 0.434566
182
+ 6750 | 1 | 0.078495 | 0.153325 | 5.24e-06 | 2:43:39 | 1:18:47 | Gen 0.075718 | Align 0.438771
183
+ 6800 | 1 | 0.115993 | 0.152155 | 5.10e-06 | 2:44:51 | 1:17:34 | Gen 0.113117 | Align 0.469634
184
+ 6850 | 1 | 0.155428 | 0.151503 | 4.95e-06 | 2:46:02 | 1:16:21 | Gen 0.152755 | Align 0.451146
185
+ 6900 | 1 | 0.099534 | 0.150260 | 4.81e-06 | 2:47:14 | 1:15:08 | Gen 0.096921 | Align 0.455855
186
+ 6950 | 1 | 0.023941 | 0.148711 | 4.67e-06 | 2:48:25 | 1:13:54 | Gen 0.021557 | Align 0.429754
187
+ 7000 | 1 | 0.056344 | 0.144907 | 4.53e-06 | 2:49:37 | 1:12:41 | Gen 0.054048 | Align 0.427477
188
+ [12:48:07] Generating 16 validation images ...
189
+ [12:48:28] Validation step 7000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0007000.png
190
+ 7050 | 1 | 0.113683 | 0.143772 | 4.39e-06 | 2:51:10 | 1:11:37 | Gen 0.111178 | Align 0.482099
191
+ 7100 | 1 | 0.047532 | 0.143185 | 4.26e-06 | 2:52:21 | 1:10:24 | Gen 0.045206 | Align 0.462760
192
+ 7150 | 1 | 0.150363 | 0.143518 | 4.12e-06 | 2:53:33 | 1:09:10 | Gen 0.148089 | Align 0.467655
193
+ [12:52:25] --- Epoch 1 | Steps: 3583 | Avg Loss: 0.126217 ---
194
+ 7200 | 2 | 0.121859 | 0.143210 | 3.99e-06 | 2:54:44 | 1:07:57 | Gen 0.119580 | Align 0.484237
195
+ 7250 | 2 | 0.176868 | 0.142143 | 3.86e-06 | 2:55:56 | 1:06:44 | Gen 0.174666 | Align 0.483375
196
+ 7300 | 2 | 0.146227 | 0.142088 | 3.73e-06 | 2:57:07 | 1:05:30 | Gen 0.144102 | Align 0.482103
197
+ 7350 | 2 | 0.052102 | 0.140874 | 3.60e-06 | 2:58:19 | 1:04:17 | Gen 0.050295 | Align 0.423861
198
+ 7400 | 2 | 0.136024 | 0.139357 | 3.47e-06 | 2:59:31 | 1:03:04 | Gen 0.134252 | Align 0.429418
199
+ 7450 | 2 | 0.071414 | 0.138339 | 3.35e-06 | 3:00:42 | 1:01:51 | Gen 0.069587 | Align 0.457581
200
+ 7500 | 2 | 0.104662 | 0.138390 | 3.23e-06 | 3:01:54 | 1:00:38 | Gen 0.102882 | Align 0.460919
201
+ 7550 | 2 | 0.059136 | 0.137381 | 3.11e-06 | 3:03:06 | 0:59:25 | Gen 0.057486 | Align 0.441067
202
+ 7600 | 2 | 0.032253 | 0.136423 | 2.99e-06 | 3:04:17 | 0:58:11 | Gen 0.030610 | Align 0.454135
203
+ 7650 | 2 | 0.146512 | 0.136846 | 2.87e-06 | 3:05:29 | 0:56:58 | Gen 0.144878 | Align 0.466882
204
+ 7700 | 2 | 0.150410 | 0.137486 | 2.76e-06 | 3:06:40 | 0:55:45 | Gen 0.148803 | Align 0.474438
205
+ 7750 | 2 | 0.032827 | 0.135931 | 2.64e-06 | 3:07:52 | 0:54:32 | Gen 0.031351 | Align 0.450329
206
+ 7800 | 2 | 0.085943 | 0.135048 | 2.53e-06 | 3:09:04 | 0:53:19 | Gen 0.084468 | Align 0.465050
207
+ 7850 | 2 | 0.157053 | 0.135048 | 2.42e-06 | 3:10:15 | 0:52:06 | Gen 0.155568 | Align 0.483939
208
+ 7900 | 2 | 0.165120 | 0.135109 | 2.32e-06 | 3:11:27 | 0:50:53 | Gen 0.163686 | Align 0.482623
209
+ 7950 | 2 | 0.176535 | 0.135380 | 2.21e-06 | 3:12:39 | 0:49:40 | Gen 0.175210 | Align 0.461026
210
+ 8000 | 2 | 0.147316 | 0.135764 | 2.11e-06 | 3:13:50 | 0:48:27 | Gen 0.146001 | Align 0.472941
211
+ [13:12:25] Saved checkpoint -> RESULTS/102flowers/run_016/checkpoint-8000
212
+ [13:12:27] Generating 16 validation images ...
213
+ [13:12:47] Validation step 8000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0008000.png
214
+ 8050 | 2 | 0.122883 | 0.135959 | 2.01e-06 | 3:15:29 | 0:47:21 | Gen 0.121626 | Align 0.467079
215
+ 8100 | 2 | 0.033213 | 0.134854 | 1.91e-06 | 3:16:41 | 0:46:08 | Gen 0.032097 | Align 0.428576
216
+ 8150 | 2 | 0.187454 | 0.134915 | 1.81e-06 | 3:17:53 | 0:44:55 | Gen 0.186198 | Align 0.498356
217
+ 8200 | 2 | 0.107013 | 0.134098 | 1.72e-06 | 3:19:04 | 0:43:42 | Gen 0.105860 | Align 0.473104
218
+ 8250 | 2 | 0.101903 | 0.133141 | 1.63e-06 | 3:20:16 | 0:42:28 | Gen 0.100810 | Align 0.463304
219
+ 8300 | 2 | 0.195026 | 0.133985 | 1.54e-06 | 3:21:28 | 0:41:15 | Gen 0.193936 | Align 0.477639
220
+ 8350 | 2 | 0.109294 | 0.133288 | 1.45e-06 | 3:22:39 | 0:40:02 | Gen 0.108247 | Align 0.473889
221
+ 8400 | 2 | 0.048891 | 0.133210 | 1.37e-06 | 3:23:51 | 0:38:49 | Gen 0.047934 | Align 0.447501
222
+ 8450 | 2 | 0.221702 | 0.134028 | 1.29e-06 | 3:25:03 | 0:37:36 | Gen 0.220776 | Align 0.447278
223
+ 8500 | 2 | 0.222553 | 0.134485 | 1.21e-06 | 3:26:14 | 0:36:23 | Gen 0.221625 | Align 0.463786
224
+ 8550 | 2 | 0.241445 | 0.135689 | 1.13e-06 | 3:27:26 | 0:35:10 | Gen 0.240463 | Align 0.506799
225
+ 8600 | 2 | 0.227070 | 0.136968 | 1.05e-06 | 3:28:37 | 0:33:57 | Gen 0.226232 | Align 0.447525
226
+ 8650 | 2 | 0.090742 | 0.136972 | 9.80e-07 | 3:29:49 | 0:32:44 | Gen 0.089915 | Align 0.455775
227
+ 8700 | 2 | 0.052289 | 0.136313 | 9.10e-07 | 3:31:01 | 0:31:31 | Gen 0.051521 | Align 0.437734
228
+ 8750 | 2 | 0.088627 | 0.134874 | 8.42e-07 | 3:32:12 | 0:30:18 | Gen 0.087855 | Align 0.454295
229
+ 8800 | 2 | 0.091844 | 0.135013 | 7.77e-07 | 3:33:24 | 0:29:06 | Gen 0.091143 | Align 0.426618
230
+ 8850 | 2 | 0.102232 | 0.134565 | 7.14e-07 | 3:34:35 | 0:27:53 | Gen 0.101503 | Align 0.458743
231
+ 8900 | 2 | 0.032003 | 0.132939 | 6.54e-07 | 3:35:47 | 0:26:40 | Gen 0.031356 | Align 0.420726
232
+ 8950 | 2 | 0.117042 | 0.132615 | 5.97e-07 | 3:36:59 | 0:25:27 | Gen 0.116348 | Align 0.465954
233
+ 9000 | 2 | 0.190665 | 0.133049 | 5.42e-07 | 3:38:10 | 0:24:14 | Gen 0.189951 | Align 0.495654
234
+ [13:36:40] Generating 16 validation images ...
235
+ [13:37:01] Validation step 9000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0009000.png
236
+ 9050 | 2 | 0.166285 | 0.133042 | 4.89e-07 | 3:39:43 | 0:23:03 | Gen 0.165686 | Align 0.430218
237
+ 9100 | 2 | 0.059585 | 0.131000 | 4.40e-07 | 3:40:55 | 0:21:50 | Gen 0.059045 | Align 0.400587
238
+ 9150 | 2 | 0.150354 | 0.130791 | 3.92e-07 | 3:42:06 | 0:20:38 | Gen 0.149738 | Align 0.472518
239
+ 9200 | 2 | 0.111287 | 0.129898 | 3.48e-07 | 3:43:18 | 0:19:25 | Gen 0.110710 | Align 0.457096
240
+ 9250 | 2 | 0.179984 | 0.129749 | 3.06e-07 | 3:44:29 | 0:18:12 | Gen 0.179392 | Align 0.485007
241
+ 9300 | 2 | 0.179991 | 0.129642 | 2.67e-07 | 3:45:41 | 0:16:59 | Gen 0.179426 | Align 0.477707
242
+ 9350 | 2 | 0.142960 | 0.129899 | 2.30e-07 | 3:46:53 | 0:15:46 | Gen 0.142448 | Align 0.446860
243
+ 9400 | 2 | 0.056639 | 0.128245 | 1.96e-07 | 3:48:04 | 0:14:33 | Gen 0.056170 | Align 0.423490
244
+ 9450 | 2 | 0.055222 | 0.127516 | 1.65e-07 | 3:49:16 | 0:13:20 | Gen 0.054751 | Align 0.439344
245
+ 9500 | 2 | 0.155191 | 0.128120 | 1.36e-07 | 3:50:28 | 0:12:07 | Gen 0.154686 | Align 0.487203
246
+ 9550 | 2 | 0.075432 | 0.128106 | 1.11e-07 | 3:51:39 | 0:10:54 | Gen 0.074960 | Align 0.470929
247
+ 9600 | 2 | 0.102717 | 0.128099 | 8.74e-08 | 3:52:51 | 0:09:42 | Gen 0.102260 | Align 0.470107
248
+ 9650 | 2 | 0.197034 | 0.129502 | 6.69e-08 | 3:54:02 | 0:08:29 | Gen 0.196601 | Align 0.460622
249
+ 9700 | 2 | 0.142543 | 0.129963 | 4.92e-08 | 3:55:14 | 0:07:16 | Gen 0.142133 | Align 0.451251
250
+ 9750 | 2 | 0.280017 | 0.132067 | 3.42e-08 | 3:56:26 | 0:06:03 | Gen 0.279582 | Align 0.494667
251
+ 9800 | 2 | 0.054323 | 0.132276 | 2.19e-08 | 3:57:37 | 0:04:50 | Gen 0.053955 | Align 0.432771
252
+ 9850 | 2 | 0.111603 | 0.130682 | 1.23e-08 | 3:58:49 | 0:03:38 | Gen 0.111212 | Align 0.475038
253
+ 9900 | 2 | 0.213039 | 0.132366 | 5.47e-09 | 4:00:01 | 0:02:25 | Gen 0.212662 | Align 0.473162
254
+ 9950 | 2 | 0.093509 | 0.131997 | 1.37e-09 | 4:01:12 | 0:01:12 | Gen 0.093148 | Align 0.468579
255
+ 10000 | 2 | 0.084721 | 0.130869 | 0.00e+00 | 4:02:24 | 0:00:00 | Gen 0.084376 | Align 0.462007
256
+ [14:00:59] Saved checkpoint -> RESULTS/102flowers/run_016/checkpoint-10000
257
+ [14:01:01] Generating 16 validation images ...
258
+ [14:01:21] Validation step 10000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0010000.png
259
+ [14:01:22] --- Epoch 2 | Steps: 2834 | Avg Loss: 0.118363 ---
260
+ [14:01:22] Saving final model ...
261
+ [14:01:34] Pipeline saved -> RESULTS/102flowers/run_016
262
+ [14:01:35] SRA teacher + projection head saved -> RESULTS/102flowers/run_016/sra (both are training-only auxiliaries; not needed for inference)
263
+ [14:01:35] Generating final validation collage ...
264
+ [14:01:35] Generating 16 validation images ...
265
+ [14:01:55] Validation step 10000: 16 images -> RESULTS/102flowers/run_016/validation/collage_step_0010000.png
266
+ [14:01:55]
267
+ [14:01:55] ============================================================
268
+ [14:01:55] TRAINING SUMMARY
269
+ [14:01:55] ============================================================
270
+ [14:01:55] Total steps : 200
271
+ [14:01:55] Final loss : 0.084721
272
+ [14:01:55] Avg last 100 : 0.130869
273
+ [14:01:55] Min loss : 0.023941
274
+ [14:01:55] Total time : 4:03:26
275
+ [14:01:55] Output : RESULTS/102flowers/run_016
276
+ [14:01:55] ============================================================
102flowers/pixart_sigma/SRA/training_args.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/102flowers",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
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+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
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+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "learning_rate": 2e-05,
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+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.01,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 3,
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+ "resume_from_checkpoint": null,
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+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
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+ "use_sra": true,
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+ "sra_block_student": 6,
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+ "sra_block_teacher": 14,
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+ "sra_t_max": 0.2,
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+ "sra_weighting": "progress",
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+ "sra_decay_start_frac": 0.15,
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+ "sra_decay_span_frac": 0.35,
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+ "sra_lambda": 0.2,
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+ "sra_epoch_decay_start": 99,
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+ "sra_epoch_decay_span": 800,
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+ "sra_loss_type": "sml1",
49
+ "sra_ema_decay": 0.9999,
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+ "max_sequence_length": 300,
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+ "dataloader_num_workers": 4,
52
+ "output_dir": "RESULTS/102flowers/run_016"
53
+ }
102flowers/pixart_sigma/SRA/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.08472095429897308,
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+ "avg_last_100": 0.1308686680532992,
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+ "min_loss": 0.023941105231642723,
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+ "total_time": "4:03:26"
7
+ }
102flowers/pixart_sigma/SpeeD/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtSigmaPipeline",
3
+ "_diffusers_version": "0.37.1",
4
+ "scheduler": [
5
+ "diffusers",
6
+ "DPMSolverMultistepScheduler"
7
+ ],
8
+ "text_encoder": [
9
+ "transformers",
10
+ "T5EncoderModel"
11
+ ],
12
+ "tokenizer": [
13
+ "transformers",
14
+ "T5Tokenizer"
15
+ ],
16
+ "transformer": [
17
+ "diffusers",
18
+ "PixArtTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderKL"
23
+ ]
24
+ }
102flowers/pixart_sigma/SpeeD/training.log ADDED
@@ -0,0 +1,270 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-20 06:08:27
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [06:08:27] Run directory: RESULTS/102flowers/run_017
6
+ [06:08:27] Loading PixArt-Sigma components ...
7
+ [06:08:33] SpeeD-style sampling ENABLED (logit-normal, SANA logic): lam=0.6, tau=700, meaningful band=[113, 887) of 1000
8
+ [06:08:34] Transformer params: 610,856,096 total, 610,856,096 trainable
9
+ [06:08:34] Building dataset ...
10
+ [06:08:34]
11
+ [06:08:34] ================================================================
12
+ [06:08:34] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
13
+ [06:08:34] Output dir = RESULTS/102flowers/run_017
14
+ [06:08:34] Num examples = 28660
15
+ [06:08:34] Num epochs = 3
16
+ [06:08:34] Batch/device = 8
17
+ [06:08:34] Grad accum = 1
18
+ [06:08:34] Effective BS = 8
19
+ [06:08:34] Total optim steps = 10000
20
+ [06:08:34] LR = 2e-05
21
+ [06:08:34] Precision = bf16
22
+ [06:08:34] Resolution = 512x512
23
+ [06:08:34] Max seq length = 300
24
+ [06:08:34] SpeeD = True (logit-normal / SANA logic)
25
+ [06:08:34] ================================================================
26
+ [06:08:34]
27
+ 50 | 0 | 0.045229 | 0.045229 | 2.00e-06 | 0:01:09 | 3:51:48
28
+ 100 | 0 | 0.112038 | 0.078634 | 4.00e-06 | 0:02:12 | 3:38:04
29
+ 150 | 0 | 0.036043 | 0.064437 | 6.00e-06 | 0:03:14 | 3:32:56
30
+ 200 | 0 | 0.064653 | 0.064491 | 8.00e-06 | 0:04:17 | 3:29:55
31
+ 250 | 0 | 0.074630 | 0.066519 | 1.00e-05 | 0:05:19 | 3:27:41
32
+ 300 | 0 | 0.035146 | 0.061290 | 1.20e-05 | 0:06:22 | 3:25:52
33
+ 350 | 0 | 0.051774 | 0.059930 | 1.40e-05 | 0:07:24 | 3:24:17
34
+ 400 | 0 | 0.028554 | 0.056008 | 1.60e-05 | 0:08:27 | 3:22:50
35
+ 450 | 0 | 0.068020 | 0.057343 | 1.80e-05 | 0:09:29 | 3:21:28
36
+ 500 | 0 | 0.080632 | 0.059672 | 2.00e-05 | 0:10:32 | 3:20:10
37
+ 550 | 0 | 0.031766 | 0.057135 | 2.00e-05 | 0:11:34 | 3:18:54
38
+ 600 | 0 | 0.100257 | 0.060728 | 2.00e-05 | 0:12:37 | 3:17:41
39
+ 650 | 0 | 0.041226 | 0.059228 | 2.00e-05 | 0:13:39 | 3:16:30
40
+ 700 | 0 | 0.124777 | 0.063910 | 2.00e-05 | 0:14:42 | 3:15:19
41
+ 750 | 0 | 0.069308 | 0.064270 | 2.00e-05 | 0:15:44 | 3:14:10
42
+ 800 | 0 | 0.036731 | 0.062549 | 2.00e-05 | 0:16:47 | 3:13:01
43
+ 850 | 0 | 0.088152 | 0.064055 | 1.99e-05 | 0:17:49 | 3:11:53
44
+ 900 | 0 | 0.035261 | 0.062455 | 1.99e-05 | 0:18:52 | 3:10:46
45
+ 950 | 0 | 0.080858 | 0.063424 | 1.99e-05 | 0:19:54 | 3:09:39
46
+ 1000 | 0 | 0.053493 | 0.062927 | 1.99e-05 | 0:20:56 | 3:08:32
47
+ [06:29:24] Generating 16 validation images ...
48
+ [06:29:45] Validation step 1000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0001000.png
49
+ 1050 | 0 | 0.043689 | 0.062011 | 1.98e-05 | 0:22:20 | 3:10:25
50
+ 1100 | 0 | 0.056698 | 0.061770 | 1.98e-05 | 0:23:22 | 3:09:10
51
+ 1150 | 0 | 0.098932 | 0.063386 | 1.98e-05 | 0:24:25 | 3:07:57
52
+ 1200 | 0 | 0.065690 | 0.063482 | 1.97e-05 | 0:25:27 | 3:06:44
53
+ 1250 | 0 | 0.052480 | 0.063041 | 1.97e-05 | 0:26:30 | 3:05:32
54
+ 1300 | 0 | 0.089229 | 0.064049 | 1.97e-05 | 0:27:32 | 3:04:21
55
+ 1350 | 0 | 0.070353 | 0.064282 | 1.96e-05 | 0:28:35 | 3:03:10
56
+ 1400 | 0 | 0.065223 | 0.064316 | 1.96e-05 | 0:29:37 | 3:02:00
57
+ 1450 | 0 | 0.097889 | 0.065473 | 1.95e-05 | 0:30:40 | 3:00:50
58
+ 1500 | 0 | 0.087964 | 0.066223 | 1.95e-05 | 0:31:42 | 2:59:41
59
+ 1550 | 0 | 0.089570 | 0.066976 | 1.94e-05 | 0:32:45 | 2:58:33
60
+ 1600 | 0 | 0.042883 | 0.066223 | 1.93e-05 | 0:33:47 | 2:57:24
61
+ 1650 | 0 | 0.092844 | 0.067030 | 1.93e-05 | 0:34:50 | 2:56:16
62
+ 1700 | 0 | 0.035758 | 0.066110 | 1.92e-05 | 0:35:52 | 2:55:09
63
+ 1750 | 0 | 0.022418 | 0.064862 | 1.92e-05 | 0:36:54 | 2:54:02
64
+ 1800 | 0 | 0.055801 | 0.064610 | 1.91e-05 | 0:37:57 | 2:52:55
65
+ 1850 | 0 | 0.031964 | 0.063728 | 1.90e-05 | 0:38:59 | 2:51:48
66
+ 1900 | 0 | 0.081274 | 0.064190 | 1.89e-05 | 0:40:02 | 2:50:41
67
+ 1950 | 0 | 0.071515 | 0.064377 | 1.89e-05 | 0:41:04 | 2:49:35
68
+ 2000 | 0 | 0.132923 | 0.066091 | 1.88e-05 | 0:42:07 | 2:48:29
69
+ [06:50:39] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-2000
70
+ [06:50:40] Generating 16 validation images ...
71
+ [06:51:00] Validation step 2000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0002000.png
72
+ 2050 | 0 | 0.044555 | 0.065566 | 1.87e-05 | 0:43:35 | 2:49:03
73
+ 2100 | 0 | 0.111548 | 0.066661 | 1.86e-05 | 0:44:38 | 2:47:54
74
+ 2150 | 0 | 0.077946 | 0.066923 | 1.85e-05 | 0:45:40 | 2:46:45
75
+ 2200 | 0 | 0.014578 | 0.065733 | 1.85e-05 | 0:46:42 | 2:45:37
76
+ 2250 | 0 | 0.033264 | 0.065012 | 1.84e-05 | 0:47:45 | 2:44:29
77
+ 2300 | 0 | 0.066438 | 0.065043 | 1.83e-05 | 0:48:47 | 2:43:22
78
+ 2350 | 0 | 0.050510 | 0.064734 | 1.82e-05 | 0:49:50 | 2:42:14
79
+ 2400 | 0 | 0.061481 | 0.064666 | 1.81e-05 | 0:50:52 | 2:41:07
80
+ 2450 | 0 | 0.063082 | 0.064634 | 1.80e-05 | 0:51:55 | 2:40:00
81
+ 2500 | 0 | 0.039422 | 0.064129 | 1.79e-05 | 0:52:57 | 2:38:53
82
+ 2550 | 0 | 0.115479 | 0.065136 | 1.78e-05 | 0:54:00 | 2:37:47
83
+ 2600 | 0 | 0.039152 | 0.064637 | 1.77e-05 | 0:55:02 | 2:36:40
84
+ 2650 | 0 | 0.037196 | 0.064119 | 1.76e-05 | 0:56:05 | 2:35:34
85
+ 2700 | 0 | 0.065153 | 0.064138 | 1.75e-05 | 0:57:07 | 2:34:28
86
+ 2750 | 0 | 0.084860 | 0.064515 | 1.74e-05 | 0:58:10 | 2:33:21
87
+ 2800 | 0 | 0.075805 | 0.064716 | 1.72e-05 | 0:59:12 | 2:32:16
88
+ 2850 | 0 | 0.114985 | 0.065598 | 1.71e-05 | 1:00:15 | 2:31:10
89
+ 2900 | 0 | 0.115082 | 0.066451 | 1.70e-05 | 1:01:17 | 2:30:04
90
+ 2950 | 0 | 0.054607 | 0.066251 | 1.69e-05 | 1:02:20 | 2:28:59
91
+ 3000 | 0 | 0.031522 | 0.065672 | 1.68e-05 | 1:03:22 | 2:27:53
92
+ [07:11:50] Generating 16 validation images ...
93
+ [07:12:11] Validation step 3000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0003000.png
94
+ 3050 | 0 | 0.031094 | 0.065105 | 1.67e-05 | 1:04:46 | 2:27:35
95
+ 3100 | 0 | 0.088387 | 0.065480 | 1.65e-05 | 1:05:48 | 2:26:29
96
+ 3150 | 0 | 0.083474 | 0.065766 | 1.64e-05 | 1:06:51 | 2:25:23
97
+ 3200 | 0 | 0.054072 | 0.065583 | 1.63e-05 | 1:07:53 | 2:24:16
98
+ 3250 | 0 | 0.060134 | 0.065500 | 1.61e-05 | 1:08:56 | 2:23:10
99
+ 3300 | 0 | 0.098162 | 0.065994 | 1.60e-05 | 1:09:58 | 2:22:04
100
+ 3350 | 0 | 0.050220 | 0.065759 | 1.59e-05 | 1:11:01 | 2:20:59
101
+ 3400 | 0 | 0.081801 | 0.065995 | 1.57e-05 | 1:12:03 | 2:19:53
102
+ 3450 | 0 | 0.087417 | 0.066305 | 1.56e-05 | 1:13:06 | 2:18:47
103
+ 3500 | 0 | 0.056278 | 0.066162 | 1.55e-05 | 1:14:08 | 2:17:42
104
+ 3550 | 0 | 0.038681 | 0.065775 | 1.53e-05 | 1:15:11 | 2:16:36
105
+ [07:24:19] --- Epoch 0 | Steps: 3583 | Avg Loss: 0.067608 ---
106
+ 3600 | 1 | 0.117563 | 0.066494 | 1.52e-05 | 1:16:13 | 2:15:30
107
+ 3650 | 1 | 0.054041 | 0.066324 | 1.50e-05 | 1:17:15 | 2:14:25
108
+ 3700 | 1 | 0.037097 | 0.065929 | 1.49e-05 | 1:18:18 | 2:13:19
109
+ 3750 | 1 | 0.087033 | 0.066210 | 1.48e-05 | 1:19:20 | 2:12:14
110
+ 3800 | 1 | 0.108578 | 0.066768 | 1.46e-05 | 1:20:23 | 2:11:09
111
+ 3850 | 1 | 0.103560 | 0.067245 | 1.45e-05 | 1:21:25 | 2:10:04
112
+ 3900 | 1 | 0.092132 | 0.067564 | 1.43e-05 | 1:22:28 | 2:08:59
113
+ 3950 | 1 | 0.051056 | 0.067356 | 1.42e-05 | 1:23:30 | 2:07:54
114
+ 4000 | 1 | 0.078118 | 0.067490 | 1.40e-05 | 1:24:33 | 2:06:49
115
+ [07:33:05] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-4000
116
+ [07:33:05] Generating 16 validation images ...
117
+ [07:33:26] Validation step 4000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0004000.png
118
+ 4050 | 1 | 0.115783 | 0.068086 | 1.39e-05 | 1:26:01 | 2:06:22
119
+ 4100 | 1 | 0.072796 | 0.068144 | 1.37e-05 | 1:27:03 | 2:05:16
120
+ 4150 | 1 | 0.076987 | 0.068250 | 1.36e-05 | 1:28:06 | 2:04:11
121
+ 4200 | 1 | 0.021961 | 0.067699 | 1.34e-05 | 1:29:08 | 2:03:06
122
+ 4250 | 1 | 0.071005 | 0.067738 | 1.32e-05 | 1:30:11 | 2:02:00
123
+ 4300 | 1 | 0.108745 | 0.068215 | 1.31e-05 | 1:31:13 | 2:00:55
124
+ 4350 | 1 | 0.072525 | 0.068264 | 1.29e-05 | 1:32:16 | 1:59:50
125
+ 4400 | 1 | 0.111332 | 0.068754 | 1.28e-05 | 1:33:18 | 1:58:45
126
+ 4450 | 1 | 0.140198 | 0.069557 | 1.26e-05 | 1:34:21 | 1:57:40
127
+ 4500 | 1 | 0.072227 | 0.069586 | 1.25e-05 | 1:35:23 | 1:56:35
128
+ 4550 | 1 | 0.056983 | 0.069448 | 1.23e-05 | 1:36:26 | 1:55:30
129
+ 4600 | 1 | 0.037178 | 0.069097 | 1.21e-05 | 1:37:28 | 1:54:25
130
+ 4650 | 1 | 0.082661 | 0.069243 | 1.20e-05 | 1:38:30 | 1:53:20
131
+ 4700 | 1 | 0.066258 | 0.069211 | 1.18e-05 | 1:39:33 | 1:52:16
132
+ 4750 | 1 | 0.051380 | 0.069023 | 1.16e-05 | 1:40:35 | 1:51:11
133
+ 4800 | 1 | 0.066420 | 0.068996 | 1.15e-05 | 1:41:38 | 1:50:06
134
+ 4850 | 1 | 0.071597 | 0.069023 | 1.13e-05 | 1:42:40 | 1:49:01
135
+ 4900 | 1 | 0.069696 | 0.069030 | 1.12e-05 | 1:43:43 | 1:47:57
136
+ 4950 | 1 | 0.049233 | 0.068830 | 1.10e-05 | 1:44:45 | 1:46:52
137
+ 5000 | 1 | 0.077329 | 0.068915 | 1.08e-05 | 1:45:48 | 1:45:48
138
+ [07:54:16] Generating 16 validation images ...
139
+ [07:54:36] Validation step 5000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0005000.png
140
+ 5050 | 1 | 0.057859 | 0.069041 | 1.07e-05 | 1:47:11 | 1:45:04
141
+ 5100 | 1 | 0.056169 | 0.068483 | 1.05e-05 | 1:48:14 | 1:43:59
142
+ 5150 | 1 | 0.059541 | 0.068718 | 1.03e-05 | 1:49:16 | 1:42:54
143
+ 5200 | 1 | 0.063914 | 0.068710 | 1.02e-05 | 1:50:19 | 1:41:50
144
+ 5250 | 1 | 0.061523 | 0.068579 | 1.00e-05 | 1:51:21 | 1:40:45
145
+ 5300 | 1 | 0.088578 | 0.069113 | 9.83e-06 | 1:52:24 | 1:39:40
146
+ 5350 | 1 | 0.127981 | 0.069875 | 9.67e-06 | 1:53:26 | 1:38:36
147
+ 5400 | 1 | 0.034814 | 0.069938 | 9.50e-06 | 1:54:29 | 1:37:31
148
+ 5450 | 1 | 0.052189 | 0.069780 | 9.34e-06 | 1:55:31 | 1:36:26
149
+ 5500 | 1 | 0.073398 | 0.069707 | 9.17e-06 | 1:56:34 | 1:35:22
150
+ 5550 | 1 | 0.045382 | 0.069844 | 9.01e-06 | 1:57:36 | 1:34:17
151
+ 5600 | 1 | 0.035132 | 0.069192 | 8.85e-06 | 1:58:39 | 1:33:13
152
+ 5650 | 1 | 0.077806 | 0.069558 | 8.68e-06 | 1:59:41 | 1:32:09
153
+ 5700 | 1 | 0.021841 | 0.068529 | 8.52e-06 | 2:00:44 | 1:31:04
154
+ 5750 | 1 | 0.087515 | 0.068711 | 8.35e-06 | 2:01:46 | 1:30:00
155
+ 5800 | 1 | 0.071947 | 0.069063 | 8.19e-06 | 2:02:48 | 1:28:56
156
+ 5850 | 1 | 0.078750 | 0.068969 | 8.03e-06 | 2:03:51 | 1:27:51
157
+ 5900 | 1 | 0.036912 | 0.068986 | 7.87e-06 | 2:04:53 | 1:26:47
158
+ 5950 | 1 | 0.089531 | 0.069072 | 7.71e-06 | 2:05:56 | 1:25:43
159
+ 6000 | 1 | 0.090642 | 0.069444 | 7.55e-06 | 2:06:58 | 1:24:39
160
+ [08:15:31] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-6000
161
+ [08:15:32] Generating 16 validation images ...
162
+ [08:15:52] Validation step 6000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0006000.png
163
+ 6050 | 1 | 0.067787 | 0.069685 | 7.39e-06 | 2:08:27 | 1:23:52
164
+ 6100 | 1 | 0.044367 | 0.069561 | 7.23e-06 | 2:09:30 | 1:22:47
165
+ 6150 | 1 | 0.147253 | 0.070045 | 7.07e-06 | 2:10:32 | 1:21:43
166
+ 6200 | 1 | 0.036464 | 0.069752 | 6.91e-06 | 2:11:35 | 1:20:38
167
+ 6250 | 1 | 0.099673 | 0.070224 | 6.75e-06 | 2:12:37 | 1:19:34
168
+ 6300 | 1 | 0.090772 | 0.070240 | 6.60e-06 | 2:13:40 | 1:18:30
169
+ 6350 | 1 | 0.101386 | 0.070550 | 6.44e-06 | 2:14:42 | 1:17:25
170
+ 6400 | 1 | 0.101087 | 0.070909 | 6.29e-06 | 2:15:45 | 1:16:21
171
+ 6450 | 1 | 0.043696 | 0.070367 | 6.14e-06 | 2:16:47 | 1:15:17
172
+ 6500 | 1 | 0.120755 | 0.070695 | 5.98e-06 | 2:17:50 | 1:14:13
173
+ 6550 | 1 | 0.043636 | 0.070235 | 5.83e-06 | 2:18:52 | 1:13:08
174
+ 6600 | 1 | 0.038078 | 0.070187 | 5.68e-06 | 2:19:54 | 1:12:04
175
+ 6650 | 1 | 0.085422 | 0.070113 | 5.53e-06 | 2:20:57 | 1:11:00
176
+ 6700 | 1 | 0.042340 | 0.070179 | 5.39e-06 | 2:21:59 | 1:09:56
177
+ 6750 | 1 | 0.085207 | 0.070807 | 5.24e-06 | 2:23:02 | 1:08:52
178
+ 6800 | 1 | 0.057677 | 0.070826 | 5.10e-06 | 2:24:04 | 1:07:48
179
+ 6850 | 1 | 0.078882 | 0.071295 | 4.95e-06 | 2:25:07 | 1:06:44
180
+ 6900 | 1 | 0.066461 | 0.071147 | 4.81e-06 | 2:26:09 | 1:05:40
181
+ 6950 | 1 | 0.065267 | 0.071084 | 4.67e-06 | 2:27:12 | 1:04:36
182
+ 7000 | 1 | 0.053101 | 0.070286 | 4.53e-06 | 2:28:14 | 1:03:32
183
+ [08:36:42] Generating 16 validation images ...
184
+ [08:37:03] Validation step 7000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0007000.png
185
+ 7050 | 1 | 0.052912 | 0.070369 | 4.39e-06 | 2:29:38 | 1:02:36
186
+ 7100 | 1 | 0.131639 | 0.070570 | 4.26e-06 | 2:30:40 | 1:01:32
187
+ 7150 | 1 | 0.073561 | 0.070527 | 4.12e-06 | 2:31:43 | 1:00:28
188
+ [08:40:29] --- Epoch 1 | Steps: 3583 | Avg Loss: 0.068527 ---
189
+ 7200 | 2 | 0.018128 | 0.070562 | 3.99e-06 | 2:32:45 | 0:59:24
190
+ 7250 | 2 | 0.087953 | 0.071109 | 3.86e-06 | 2:33:47 | 0:58:20
191
+ 7300 | 2 | 0.073768 | 0.071182 | 3.73e-06 | 2:34:50 | 0:57:16
192
+ 7350 | 2 | 0.061426 | 0.071291 | 3.60e-06 | 2:35:52 | 0:56:12
193
+ 7400 | 2 | 0.069484 | 0.071371 | 3.47e-06 | 2:36:55 | 0:55:07
194
+ 7450 | 2 | 0.066371 | 0.071404 | 3.35e-06 | 2:37:57 | 0:54:03
195
+ 7500 | 2 | 0.030811 | 0.071318 | 3.23e-06 | 2:39:00 | 0:53:00
196
+ 7550 | 2 | 0.074772 | 0.070911 | 3.11e-06 | 2:40:02 | 0:51:56
197
+ 7600 | 2 | 0.039505 | 0.070915 | 2.99e-06 | 2:41:04 | 0:50:52
198
+ 7650 | 2 | 0.048521 | 0.071028 | 2.87e-06 | 2:42:07 | 0:49:48
199
+ 7700 | 2 | 0.069444 | 0.071071 | 2.76e-06 | 2:43:09 | 0:48:44
200
+ 7750 | 2 | 0.058635 | 0.070809 | 2.64e-06 | 2:44:12 | 0:47:40
201
+ 7800 | 2 | 0.118698 | 0.071237 | 2.53e-06 | 2:45:14 | 0:46:36
202
+ 7850 | 2 | 0.037992 | 0.070468 | 2.42e-06 | 2:46:17 | 0:45:32
203
+ 7900 | 2 | 0.086661 | 0.070183 | 2.32e-06 | 2:47:19 | 0:44:28
204
+ 7950 | 2 | 0.034243 | 0.069980 | 2.21e-06 | 2:48:22 | 0:43:25
205
+ 8000 | 2 | 0.029515 | 0.069960 | 2.11e-06 | 2:49:24 | 0:42:21
206
+ [08:57:57] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-8000
207
+ [08:57:58] Generating 16 validation images ...
208
+ [08:58:18] Validation step 8000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0008000.png
209
+ 8050 | 2 | 0.073067 | 0.070379 | 2.01e-06 | 2:50:53 | 0:41:23
210
+ 8100 | 2 | 0.071571 | 0.070211 | 1.91e-06 | 2:51:56 | 0:40:19
211
+ 8150 | 2 | 0.058769 | 0.069964 | 1.81e-06 | 2:52:58 | 0:39:15
212
+ 8200 | 2 | 0.078725 | 0.070211 | 1.72e-06 | 2:54:01 | 0:38:11
213
+ 8250 | 2 | 0.051317 | 0.070123 | 1.63e-06 | 2:55:03 | 0:37:08
214
+ 8300 | 2 | 0.031451 | 0.069455 | 1.54e-06 | 2:56:06 | 0:36:04
215
+ 8350 | 2 | 0.081951 | 0.069773 | 1.45e-06 | 2:57:08 | 0:35:00
216
+ 8400 | 2 | 0.081550 | 0.069770 | 1.37e-06 | 2:58:11 | 0:33:56
217
+ 8450 | 2 | 0.081242 | 0.069708 | 1.29e-06 | 2:59:13 | 0:32:52
218
+ 8500 | 2 | 0.081246 | 0.069958 | 1.21e-06 | 3:00:16 | 0:31:48
219
+ 8550 | 2 | 0.108998 | 0.070661 | 1.13e-06 | 3:01:18 | 0:30:44
220
+ 8600 | 2 | 0.067245 | 0.070158 | 1.05e-06 | 3:02:21 | 0:29:41
221
+ 8650 | 2 | 0.102775 | 0.070645 | 9.80e-07 | 3:03:23 | 0:28:37
222
+ 8700 | 2 | 0.086277 | 0.071137 | 9.10e-07 | 3:04:25 | 0:27:33
223
+ 8750 | 2 | 0.073462 | 0.071002 | 8.42e-07 | 3:05:28 | 0:26:29
224
+ 8800 | 2 | 0.050855 | 0.070424 | 7.77e-07 | 3:06:30 | 0:25:26
225
+ 8850 | 2 | 0.081707 | 0.070206 | 7.14e-07 | 3:07:33 | 0:24:22
226
+ 8900 | 2 | 0.160960 | 0.070894 | 6.54e-07 | 3:08:35 | 0:23:18
227
+ 8950 | 2 | 0.071912 | 0.071103 | 5.97e-07 | 3:09:38 | 0:22:14
228
+ 9000 | 2 | 0.124533 | 0.071567 | 5.42e-07 | 3:10:40 | 0:21:11
229
+ [09:19:08] Generating 16 validation images ...
230
+ [09:19:29] Validation step 9000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0009000.png
231
+ 9050 | 2 | 0.086541 | 0.071274 | 4.89e-07 | 3:12:04 | 0:20:09
232
+ 9100 | 2 | 0.060698 | 0.071153 | 4.40e-07 | 3:13:06 | 0:19:05
233
+ 9150 | 2 | 0.047972 | 0.070863 | 3.92e-07 | 3:14:08 | 0:18:02
234
+ 9200 | 2 | 0.052531 | 0.071169 | 3.48e-07 | 3:15:11 | 0:16:58
235
+ 9250 | 2 | 0.143775 | 0.071897 | 3.06e-07 | 3:16:13 | 0:15:54
236
+ 9300 | 2 | 0.074240 | 0.071552 | 2.67e-07 | 3:17:16 | 0:14:50
237
+ 9350 | 2 | 0.066917 | 0.071496 | 2.30e-07 | 3:18:18 | 0:13:47
238
+ 9400 | 2 | 0.009442 | 0.070477 | 1.96e-07 | 3:19:21 | 0:12:43
239
+ 9450 | 2 | 0.081587 | 0.069891 | 1.65e-07 | 3:20:23 | 0:11:39
240
+ 9500 | 2 | 0.131506 | 0.070483 | 1.36e-07 | 3:21:26 | 0:10:36
241
+ 9550 | 2 | 0.064923 | 0.070563 | 1.11e-07 | 3:22:28 | 0:09:32
242
+ 9600 | 2 | 0.111182 | 0.071303 | 8.74e-08 | 3:23:31 | 0:08:28
243
+ 9650 | 2 | 0.112252 | 0.071599 | 6.69e-08 | 3:24:33 | 0:07:25
244
+ 9700 | 2 | 0.043182 | 0.071368 | 4.92e-08 | 3:25:36 | 0:06:21
245
+ 9750 | 2 | 0.053756 | 0.071392 | 3.42e-08 | 3:26:38 | 0:05:17
246
+ 9800 | 2 | 0.102226 | 0.071750 | 2.19e-08 | 3:27:40 | 0:04:14
247
+ 9850 | 2 | 0.068332 | 0.071717 | 1.23e-08 | 3:28:43 | 0:03:10
248
+ 9900 | 2 | 0.076369 | 0.071784 | 5.47e-09 | 3:29:45 | 0:02:07
249
+ 9950 | 2 | 0.065035 | 0.071942 | 1.37e-09 | 3:30:48 | 0:01:03
250
+ 10000 | 2 | 0.059303 | 0.071762 | 0.00e+00 | 3:31:50 | 0:00:00
251
+ [09:40:23] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-10000
252
+ [09:40:24] Generating 16 validation images ...
253
+ [09:40:44] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
254
+ [09:40:44] --- Epoch 2 | Steps: 2834 | Avg Loss: 0.068637 ---
255
+ [09:40:44] Saving final model ...
256
+ [09:40:57] Pipeline saved -> RESULTS/102flowers/run_017
257
+ [09:40:57] Generating final validation collage ...
258
+ [09:40:57] Generating 16 validation images ...
259
+ [09:41:17] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
260
+ [09:41:17]
261
+ [09:41:17] ============================================================
262
+ [09:41:17] TRAINING SUMMARY
263
+ [09:41:17] ============================================================
264
+ [09:41:17] Total steps : 200
265
+ [09:41:17] Final loss : 0.059303
266
+ [09:41:17] Avg last 100 : 0.071762
267
+ [09:41:17] Min loss : 0.009442
268
+ [09:41:17] Total time : 3:32:50
269
+ [09:41:17] Output : RESULTS/102flowers/run_017
270
+ [09:41:17] ============================================================
102flowers/pixart_sigma/SpeeD/training_args.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
3
+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
4
+ "revision": null,
5
+ "variant": null,
6
+ "cache_dir": null,
7
+ "data_dir": "../data/102flowers",
8
+ "caption_file_train": "caption_train.json",
9
+ "caption_file_val": "caption_val.json",
10
+ "images_dir": "images",
11
+ "max_captions_per_image": 5,
12
+ "proportion_empty_prompts": 0.1,
13
+ "results_root": "RESULTS",
14
+ "seed": 42,
15
+ "resolution": 512,
16
+ "train_batch_size": 8,
17
+ "max_train_steps": 10000,
18
+ "num_train_epochs": 3,
19
+ "gradient_accumulation_steps": 1,
20
+ "gradient_checkpointing": false,
21
+ "learning_rate": 2e-05,
22
+ "scale_lr": false,
23
+ "lr_scheduler": "cosine",
24
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1
+ Training started: 2026-08-20 18:31:32
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [18:31:32] Run directory: RESULTS/102flowers/run_017
6
+ [18:31:32] Loading PixArt-Sigma components ...
7
+ [18:31:39] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [18:31:39] TD ENABLED: cloning frozen EMA target transformer (ema_tau=0.999, update_freq=1 steps, k_idx=1.0, one_idx=0.3333333333333333, lambda=1.0, weighted=False, sigma_range=[0.002,80.0], rho=7.0, steps=18, sigma_data=0.5)
9
+ [18:31:39] Building dataset ...
10
+ [18:31:39]
11
+ [18:31:39] ================================================================
12
+ [18:31:39] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
13
+ [18:31:39] Output dir = RESULTS/102flowers/run_017
14
+ [18:31:39] Num examples = 28660
15
+ [18:31:39] Num epochs = 3
16
+ [18:31:39] Batch/device = 8
17
+ [18:31:39] Grad accum = 1
18
+ [18:31:39] Effective BS = 8
19
+ [18:31:39] Total optim steps = 10000
20
+ [18:31:39] LR = 2e-05
21
+ [18:31:39] Precision = bf16
22
+ [18:31:39] Resolution = 512x512
23
+ [18:31:39] Max seq length = 300
24
+ [18:31:39] TD = True
25
+ [18:31:39] ================================================================
26
+ [18:31:39]
27
+ 50 | 0 | 0.100351 | 0.100351 | 2.00e-06 | 0:01:26 | 4:46:08
28
+ [18:32:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001307
29
+ 100 | 0 | 0.142211 | 0.121281 | 4.00e-06 | 0:02:44 | 4:31:17
30
+ [18:34:16] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001070
31
+ 150 | 0 | 0.060356 | 0.100973 | 6.00e-06 | 0:04:02 | 4:25:52
32
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+ 200 | 0 | 0.114481 | 0.104350 | 8.00e-06 | 0:05:21 | 4:22:22
34
+ [18:36:53] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001080
35
+ 250 | 0 | 0.142459 | 0.111972 | 1.00e-05 | 0:06:39 | 4:19:47
36
+ [18:38:11] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000557
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+ 300 | 0 | 0.070598 | 0.105076 | 1.20e-05 | 0:07:58 | 4:17:43
38
+ [18:39:30] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000448
39
+ 350 | 0 | 0.131458 | 0.108845 | 1.40e-05 | 0:09:16 | 4:15:45
40
+ [18:40:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000927
41
+ 400 | 0 | 0.138218 | 0.112517 | 1.60e-05 | 0:10:34 | 4:13:57
42
+ [18:42:06] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001536
43
+ 450 | 0 | 0.072386 | 0.108058 | 1.80e-05 | 0:11:53 | 4:12:18
44
+ [18:43:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000739
45
+ 500 | 0 | 0.139140 | 0.111166 | 2.00e-05 | 0:13:11 | 4:10:40
46
+ [18:44:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001040
47
+ 550 | 0 | 0.436053 | 0.140701 | 2.00e-05 | 0:14:30 | 4:09:08
48
+ [18:46:02] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000872
49
+ 600 | 0 | 0.212359 | 0.146673 | 2.00e-05 | 0:15:48 | 4:07:40
50
+ [18:47:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000937
51
+ 650 | 0 | 0.123407 | 0.144883 | 2.00e-05 | 0:17:07 | 4:06:13
52
+ [18:48:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001066
53
+ 700 | 0 | 0.200222 | 0.148836 | 2.00e-05 | 0:18:25 | 4:04:48
54
+ [18:49:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001067
55
+ 750 | 0 | 0.029903 | 0.140907 | 2.00e-05 | 0:19:44 | 4:03:23
56
+ [18:51:16] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000758
57
+ 800 | 0 | 0.037881 | 0.134468 | 2.00e-05 | 0:21:02 | 4:01:59
58
+ [18:52:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000874
59
+ 850 | 0 | 0.192968 | 0.137909 | 1.99e-05 | 0:22:20 | 4:00:34
60
+ [18:53:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000836
61
+ 900 | 0 | 0.227399 | 0.142881 | 1.99e-05 | 0:23:39 | 3:59:11
62
+ [18:55:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000655
63
+ 950 | 0 | 0.093807 | 0.140298 | 1.99e-05 | 0:24:57 | 3:57:48
64
+ [18:56:29] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001140
65
+ 1000 | 0 | 0.179092 | 0.142237 | 1.99e-05 | 0:26:16 | 3:56:28
66
+ [18:57:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000706
67
+ [18:57:48] Generating 16 validation images ...
68
+ [18:58:09] Validation step 1000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0001000.png
69
+ 1050 | 0 | 0.147757 | 0.142500 | 1.98e-05 | 0:27:55 | 3:58:03
70
+ [18:59:27] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001131
71
+ 1100 | 0 | 0.157446 | 0.143180 | 1.98e-05 | 0:29:14 | 3:56:32
72
+ [19:00:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001456
73
+ 1150 | 0 | 0.268751 | 0.148639 | 1.98e-05 | 0:30:32 | 3:55:02
74
+ [19:02:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001326
75
+ 1200 | 0 | 0.115507 | 0.147259 | 1.97e-05 | 0:31:50 | 3:53:33
76
+ [19:03:23] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001145
77
+ 1250 | 0 | 0.053664 | 0.143515 | 1.97e-05 | 0:33:09 | 3:52:04
78
+ [19:04:41] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000877
79
+ 1300 | 0 | 0.192359 | 0.145394 | 1.97e-05 | 0:34:27 | 3:50:37
80
+ [19:05:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000808
81
+ 1350 | 0 | 0.057265 | 0.142129 | 1.96e-05 | 0:35:46 | 3:49:12
82
+ [19:07:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000775
83
+ 1400 | 0 | 0.055633 | 0.139040 | 1.96e-05 | 0:37:04 | 3:47:46
84
+ [19:08:36] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000936
85
+ 1450 | 0 | 0.051631 | 0.136026 | 1.95e-05 | 0:38:23 | 3:46:20
86
+ [19:09:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000800
87
+ 1500 | 0 | 0.075748 | 0.134017 | 1.95e-05 | 0:39:41 | 3:44:55
88
+ [19:11:13] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000816
89
+ 1550 | 0 | 0.120878 | 0.133593 | 1.94e-05 | 0:41:00 | 3:43:31
90
+ [19:12:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000749
91
+ 1600 | 0 | 0.068121 | 0.131547 | 1.93e-05 | 0:42:18 | 3:42:06
92
+ [19:13:50] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000729
93
+ 1650 | 0 | 0.047624 | 0.129004 | 1.93e-05 | 0:43:36 | 3:40:42
94
+ [19:15:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000625
95
+ 1700 | 0 | 0.168320 | 0.130160 | 1.92e-05 | 0:44:55 | 3:39:19
96
+ [19:16:27] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001122
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+ 1750 | 0 | 0.067684 | 0.128375 | 1.92e-05 | 0:46:13 | 3:37:55
98
+ [19:17:45] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000892
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+ 1800 | 0 | 0.115045 | 0.128005 | 1.91e-05 | 0:47:32 | 3:36:32
100
+ [19:19:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000853
101
+ 1850 | 0 | 0.118620 | 0.127751 | 1.90e-05 | 0:48:50 | 3:35:09
102
+ [19:20:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001086
103
+ 1900 | 0 | 0.125559 | 0.127694 | 1.89e-05 | 0:50:08 | 3:33:47
104
+ [19:21:41] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000918
105
+ 1950 | 0 | 0.118790 | 0.127465 | 1.89e-05 | 0:51:27 | 3:32:24
106
+ [19:22:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000612
107
+ 2000 | 0 | 0.350676 | 0.133046 | 1.88e-05 | 0:52:45 | 3:31:01
108
+ [19:24:17] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001205
109
+ [19:24:22] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-2000
110
+ [19:24:22] Generating 16 validation images ...
111
+ [19:24:42] Validation step 2000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0002000.png
112
+ 2050 | 0 | 0.333351 | 0.137931 | 1.87e-05 | 0:54:29 | 3:31:18
113
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114
+ 2100 | 0 | 0.082662 | 0.136615 | 1.86e-05 | 0:55:47 | 3:29:53
115
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116
+ 2150 | 0 | 0.104760 | 0.135874 | 1.85e-05 | 0:57:06 | 3:28:29
117
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118
+ 2200 | 0 | 0.135624 | 0.135869 | 1.85e-05 | 0:58:24 | 3:27:05
119
+ [19:29:56] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001038
120
+ 2250 | 0 | 0.046387 | 0.133880 | 1.84e-05 | 0:59:43 | 3:25:41
121
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122
+ 2300 | 0 | 0.064129 | 0.132364 | 1.83e-05 | 1:01:01 | 3:24:18
123
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+ 2350 | 0 | 0.205173 | 0.133913 | 1.82e-05 | 1:02:19 | 3:22:54
125
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+ 2400 | 0 | 0.122230 | 0.133670 | 1.81e-05 | 1:03:38 | 3:21:31
127
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129
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130
+ 2500 | 0 | 0.070878 | 0.132530 | 1.79e-05 | 1:06:15 | 3:18:45
131
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132
+ 2550 | 0 | 0.147392 | 0.132821 | 1.78e-05 | 1:07:33 | 3:17:22
133
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134
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135
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136
+ 2650 | 0 | 0.080265 | 0.131924 | 1.76e-05 | 1:10:10 | 3:14:38
137
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138
+ 2700 | 0 | 0.096017 | 0.131259 | 1.75e-05 | 1:11:28 | 3:13:15
139
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141
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142
+ 2800 | 0 | 0.114054 | 0.129381 | 1.72e-05 | 1:14:05 | 3:10:32
143
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144
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145
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146
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147
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149
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150
+ 3000 | 0 | 0.160303 | 0.130494 | 1.68e-05 | 1:19:19 | 3:05:05
151
+ [19:50:51] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000923
152
+ [19:50:51] Generating 16 validation images ...
153
+ [19:51:12] Validation step 3000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0003000.png
154
+ 3050 | 0 | 0.070592 | 0.129512 | 1.67e-05 | 1:20:58 | 3:04:31
155
+ [19:52:30] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000675
156
+ 3100 | 0 | 0.111559 | 0.129222 | 1.65e-05 | 1:22:16 | 3:03:08
157
+ [19:53:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000896
158
+ 3150 | 0 | 0.092837 | 0.128645 | 1.64e-05 | 1:23:35 | 3:01:46
159
+ [19:55:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000926
160
+ 3200 | 0 | 0.086187 | 0.127981 | 1.63e-05 | 1:24:53 | 3:00:23
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+ [19:56:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000886
162
+ 3250 | 0 | 0.097182 | 0.127507 | 1.61e-05 | 1:26:11 | 2:59:01
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+ [19:57:43] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001286
164
+ 3300 | 0 | 0.121492 | 0.127416 | 1.60e-05 | 1:27:30 | 2:57:39
165
+ [19:59:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000477
166
+ 3350 | 0 | 0.182872 | 0.128244 | 1.59e-05 | 1:28:48 | 2:56:17
167
+ [20:00:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000493
168
+ 3400 | 0 | 0.149126 | 0.128551 | 1.57e-05 | 1:30:07 | 2:54:56
169
+ [20:01:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000745
170
+ 3450 | 0 | 0.133919 | 0.128629 | 1.56e-05 | 1:31:25 | 2:53:34
171
+ [20:02:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000833
172
+ 3500 | 0 | 0.054578 | 0.127571 | 1.55e-05 | 1:32:43 | 2:52:12
173
+ [20:04:15] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000968
174
+ 3550 | 0 | 0.119013 | 0.127450 | 1.53e-05 | 1:34:02 | 2:50:51
175
+ [20:05:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000562
176
+ [20:06:25] --- Epoch 0 | Steps: 3583 | Avg Loss: 0.120709 ---
177
+ 3600 | 1 | 0.170302 | 0.128046 | 1.52e-05 | 1:35:20 | 2:49:29
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+ [20:06:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000916
179
+ 3650 | 1 | 0.190158 | 0.128896 | 1.50e-05 | 1:36:38 | 2:48:07
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+ [20:08:10] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000756
181
+ 3700 | 1 | 0.045615 | 0.127771 | 1.49e-05 | 1:37:56 | 2:46:46
182
+ [20:09:28] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000765
183
+ 3750 | 1 | 0.100177 | 0.127403 | 1.48e-05 | 1:39:15 | 2:45:25
184
+ [20:10:47] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001040
185
+ 3800 | 1 | 0.134340 | 0.127494 | 1.46e-05 | 1:40:33 | 2:44:04
186
+ [20:12:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001487
187
+ 3850 | 1 | 0.047866 | 0.126460 | 1.45e-05 | 1:41:52 | 2:42:43
188
+ [20:13:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000731
189
+ 3900 | 1 | 0.095934 | 0.126069 | 1.43e-05 | 1:43:10 | 2:41:22
190
+ [20:14:42] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000823
191
+ 3950 | 1 | 0.096922 | 0.125700 | 1.42e-05 | 1:44:29 | 2:40:01
192
+ [20:16:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000705
193
+ 4000 | 1 | 0.132740 | 0.125788 | 1.40e-05 | 1:45:47 | 2:38:40
194
+ [20:17:19] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001053
195
+ [20:17:23] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-4000
196
+ [20:17:24] Generating 16 validation images ...
197
+ [20:17:44] Validation step 4000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0004000.png
198
+ 4050 | 1 | 0.093818 | 0.125393 | 1.39e-05 | 1:47:30 | 2:37:56
199
+ [20:19:02] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000803
200
+ 4100 | 1 | 0.138254 | 0.125550 | 1.37e-05 | 1:48:49 | 2:36:35
201
+ [20:20:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001158
202
+ 4150 | 1 | 0.145773 | 0.125794 | 1.36e-05 | 1:50:07 | 2:35:14
203
+ [20:21:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000750
204
+ 4200 | 1 | 0.147525 | 0.126052 | 1.34e-05 | 1:51:26 | 2:33:53
205
+ [20:22:58] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000830
206
+ 4250 | 1 | 0.074202 | 0.125442 | 1.32e-05 | 1:52:44 | 2:32:31
207
+ [20:24:16] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000733
208
+ 4300 | 1 | 0.153550 | 0.125769 | 1.31e-05 | 1:54:02 | 2:31:10
209
+ [20:25:34] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001034
210
+ 4350 | 1 | 0.012123 | 0.124463 | 1.29e-05 | 1:55:21 | 2:29:49
211
+ [20:26:53] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000752
212
+ 4400 | 1 | 0.156178 | 0.124823 | 1.28e-05 | 1:56:39 | 2:28:28
213
+ [20:28:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000829
214
+ 4450 | 1 | 0.099708 | 0.124541 | 1.26e-05 | 1:57:58 | 2:27:07
215
+ [20:29:30] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000876
216
+ 4500 | 1 | 0.257043 | 0.126013 | 1.25e-05 | 1:59:16 | 2:25:47
217
+ [20:30:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000860
218
+ 4550 | 1 | 0.238611 | 0.127251 | 1.23e-05 | 2:00:34 | 2:24:26
219
+ [20:32:07] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000950
220
+ 4600 | 1 | 0.124539 | 0.127221 | 1.21e-05 | 2:01:53 | 2:23:05
221
+ [20:33:25] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000399
222
+ 4650 | 1 | 0.132036 | 0.127273 | 1.20e-05 | 2:03:11 | 2:21:44
223
+ [20:34:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001118
224
+ 4700 | 1 | 0.174129 | 0.127772 | 1.18e-05 | 2:04:30 | 2:20:23
225
+ [20:36:02] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001161
226
+ 4750 | 1 | 0.073288 | 0.127198 | 1.16e-05 | 2:05:48 | 2:19:03
227
+ [20:37:20] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000817
228
+ 4800 | 1 | 0.232906 | 0.128299 | 1.15e-05 | 2:07:07 | 2:17:42
229
+ [20:38:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000786
230
+ 4850 | 1 | 0.144617 | 0.128467 | 1.13e-05 | 2:08:25 | 2:16:22
231
+ [20:39:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001192
232
+ 4900 | 1 | 0.094722 | 0.128123 | 1.12e-05 | 2:09:44 | 2:15:01
233
+ [20:41:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000829
234
+ 4950 | 1 | 0.200852 | 0.128858 | 1.10e-05 | 2:11:02 | 2:13:41
235
+ [20:42:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000573
236
+ 5000 | 1 | 0.024646 | 0.127816 | 1.08e-05 | 2:12:20 | 2:12:20
237
+ [20:43:52] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001308
238
+ [20:43:53] Generating 16 validation images ...
239
+ [20:44:13] Validation step 5000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0005000.png
240
+ 5050 | 1 | 0.089940 | 0.127711 | 1.07e-05 | 2:13:59 | 2:11:20
241
+ [20:45:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001110
242
+ 5100 | 1 | 0.276532 | 0.129055 | 1.05e-05 | 2:15:18 | 2:10:00
243
+ [20:46:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000989
244
+ 5150 | 1 | 0.120871 | 0.129660 | 1.03e-05 | 2:16:36 | 2:08:39
245
+ [20:48:08] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000841
246
+ 5200 | 1 | 0.106061 | 0.129576 | 1.02e-05 | 2:17:55 | 2:07:18
247
+ [20:49:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000547
248
+ 5250 | 1 | 0.014300 | 0.128294 | 1.00e-05 | 2:19:13 | 2:05:57
249
+ [20:50:45] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000749
250
+ 5300 | 1 | 0.073025 | 0.128318 | 9.83e-06 | 2:20:31 | 2:04:37
251
+ [20:52:03] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000782
252
+ 5350 | 1 | 0.056982 | 0.127573 | 9.67e-06 | 2:21:50 | 2:03:16
253
+ [20:53:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000655
254
+ 5400 | 1 | 0.217440 | 0.128366 | 9.50e-06 | 2:23:08 | 2:01:56
255
+ [20:54:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000765
256
+ 5450 | 1 | 0.057469 | 0.128217 | 9.34e-06 | 2:24:27 | 2:00:35
257
+ [20:55:59] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000482
258
+ 5500 | 1 | 0.094757 | 0.127773 | 9.17e-06 | 2:25:45 | 1:59:15
259
+ [20:57:17] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000639
260
+ 5550 | 1 | 0.056675 | 0.123979 | 9.01e-06 | 2:27:03 | 1:57:54
261
+ [20:58:35] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000998
262
+ 5600 | 1 | 0.115446 | 0.123010 | 8.85e-06 | 2:28:22 | 1:56:34
263
+ [20:59:54] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000824
264
+ 5650 | 1 | 0.155005 | 0.123326 | 8.68e-06 | 2:29:40 | 1:55:14
265
+ [21:01:12] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000979
266
+ 5700 | 1 | 0.116197 | 0.122486 | 8.52e-06 | 2:30:58 | 1:53:53
267
+ [21:02:30] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000818
268
+ 5750 | 1 | 0.113120 | 0.123318 | 8.35e-06 | 2:32:17 | 1:52:33
269
+ [21:03:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000889
270
+ 5800 | 1 | 0.149098 | 0.124430 | 8.19e-06 | 2:33:35 | 1:51:13
271
+ [21:05:08] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001426
272
+ 5850 | 1 | 0.066337 | 0.123164 | 8.03e-06 | 2:34:54 | 1:49:53
273
+ [21:06:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000680
274
+ 5900 | 1 | 0.081183 | 0.121701 | 7.87e-06 | 2:36:12 | 1:48:33
275
+ [21:07:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001185
276
+ 5950 | 1 | 0.109780 | 0.121861 | 7.71e-06 | 2:37:31 | 1:47:13
277
+ [21:09:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001007
278
+ 6000 | 1 | 0.136359 | 0.121434 | 7.55e-06 | 2:38:49 | 1:45:53
279
+ [21:10:21] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001076
280
+ [21:10:26] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-6000
281
+ [21:10:27] Generating 16 validation images ...
282
+ [21:10:47] Validation step 6000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0006000.png
283
+ 6050 | 1 | 0.260984 | 0.122566 | 7.39e-06 | 2:40:33 | 1:44:49
284
+ [21:12:05] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000309
285
+ 6100 | 1 | 0.119176 | 0.122183 | 7.23e-06 | 2:41:52 | 1:43:29
286
+ [21:13:24] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001558
287
+ 6150 | 1 | 0.107767 | 0.120574 | 7.07e-06 | 2:43:10 | 1:42:08
288
+ [21:14:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000858
289
+ 6200 | 1 | 0.065580 | 0.120074 | 6.91e-06 | 2:44:28 | 1:40:48
290
+ [21:16:01] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000802
291
+ 6250 | 1 | 0.101118 | 0.120549 | 6.75e-06 | 2:45:47 | 1:39:28
292
+ [21:17:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000594
293
+ 6300 | 1 | 0.103797 | 0.119663 | 6.60e-06 | 2:47:05 | 1:38:08
294
+ [21:18:37] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001592
295
+ 6350 | 1 | 0.036693 | 0.119457 | 6.44e-06 | 2:48:23 | 1:36:47
296
+ [21:19:55] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000909
297
+ 6400 | 1 | 0.203164 | 0.120933 | 6.29e-06 | 2:49:42 | 1:35:27
298
+ [21:21:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000800
299
+ 6450 | 1 | 0.041737 | 0.120834 | 6.14e-06 | 2:51:00 | 1:34:07
300
+ [21:22:32] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000378
301
+ 6500 | 1 | 0.145598 | 0.121532 | 5.98e-06 | 2:52:18 | 1:32:47
302
+ [21:23:51] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001272
303
+ 6550 | 1 | 0.072922 | 0.121053 | 5.83e-06 | 2:53:37 | 1:31:26
304
+ [21:25:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000967
305
+ 6600 | 1 | 0.190663 | 0.122278 | 5.68e-06 | 2:54:55 | 1:30:06
306
+ [21:26:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000910
307
+ 6650 | 1 | 0.146209 | 0.123264 | 5.53e-06 | 2:56:13 | 1:28:46
308
+ [21:27:46] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001080
309
+ 6700 | 1 | 0.106475 | 0.122646 | 5.39e-06 | 2:57:32 | 1:27:26
310
+ [21:29:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000708
311
+ 6750 | 1 | 0.090210 | 0.122871 | 5.24e-06 | 2:58:50 | 1:26:06
312
+ [21:30:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001374
313
+ 6800 | 1 | 0.142273 | 0.123143 | 5.10e-06 | 3:00:09 | 1:24:46
314
+ [21:31:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001092
315
+ 6850 | 1 | 0.125799 | 0.123215 | 4.95e-06 | 3:01:27 | 1:23:26
316
+ [21:32:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001186
317
+ 6900 | 1 | 0.177106 | 0.123730 | 4.81e-06 | 3:02:45 | 1:22:06
318
+ [21:34:17] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000628
319
+ 6950 | 1 | 0.180292 | 0.124345 | 4.67e-06 | 3:04:04 | 1:20:46
320
+ [21:35:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000881
321
+ 7000 | 1 | 0.114157 | 0.121980 | 4.53e-06 | 3:05:22 | 1:19:26
322
+ [21:36:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001264
323
+ [21:36:54] Generating 16 validation images ...
324
+ [21:37:15] Validation step 7000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0007000.png
325
+ 7050 | 1 | 0.103647 | 0.119683 | 4.39e-06 | 3:07:01 | 1:18:15
326
+ [21:38:33] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000774
327
+ 7100 | 1 | 0.143249 | 0.120289 | 4.26e-06 | 3:08:19 | 1:16:55
328
+ [21:39:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000875
329
+ 7150 | 1 | 0.098841 | 0.120230 | 4.12e-06 | 3:09:38 | 1:15:35
330
+ [21:41:10] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000643
331
+ [21:41:34] --- Epoch 1 | Steps: 3583 | Avg Loss: 0.117185 ---
332
+ 7200 | 2 | 0.224328 | 0.121117 | 3.99e-06 | 3:10:56 | 1:14:15
333
+ [21:42:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001387
334
+ 7250 | 2 | 0.049909 | 0.121152 | 3.86e-06 | 3:12:14 | 1:12:55
335
+ [21:43:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000603
336
+ 7300 | 2 | 0.083274 | 0.121344 | 3.73e-06 | 3:13:32 | 1:11:35
337
+ [21:45:04] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000963
338
+ 7350 | 2 | 0.074179 | 0.120034 | 3.60e-06 | 3:14:51 | 1:10:15
339
+ [21:46:23] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000709
340
+ 7400 | 2 | 0.195099 | 0.120762 | 3.47e-06 | 3:16:09 | 1:08:55
341
+ [21:47:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001044
342
+ 7450 | 2 | 0.082032 | 0.120188 | 3.35e-06 | 3:17:27 | 1:07:35
343
+ [21:49:00] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000890
344
+ 7500 | 2 | 0.146206 | 0.120941 | 3.23e-06 | 3:18:46 | 1:06:15
345
+ [21:50:18] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001002
346
+ 7550 | 2 | 0.117346 | 0.120641 | 3.11e-06 | 3:20:04 | 1:04:55
347
+ [21:51:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000790
348
+ 7600 | 2 | 0.150747 | 0.120770 | 2.99e-06 | 3:21:22 | 1:03:35
349
+ [21:52:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001170
350
+ 7650 | 2 | 0.191114 | 0.121878 | 2.87e-06 | 3:22:41 | 1:02:15
351
+ [21:54:13] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000658
352
+ 7700 | 2 | 0.174138 | 0.122660 | 2.76e-06 | 3:23:59 | 1:00:56
353
+ [21:55:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000969
354
+ 7750 | 2 | 0.131448 | 0.123541 | 2.64e-06 | 3:25:18 | 0:59:36
355
+ [21:56:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001150
356
+ 7800 | 2 | 0.209828 | 0.124499 | 2.53e-06 | 3:26:36 | 0:58:16
357
+ [21:58:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001259
358
+ 7850 | 2 | 0.118401 | 0.124650 | 2.42e-06 | 3:27:54 | 0:56:56
359
+ [21:59:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001056
360
+ 7900 | 2 | 0.106292 | 0.124777 | 2.32e-06 | 3:29:13 | 0:55:36
361
+ [22:00:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001242
362
+ 7950 | 2 | 0.083488 | 0.123341 | 2.21e-06 | 3:30:31 | 0:54:17
363
+ [22:02:03] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000753
364
+ 8000 | 2 | 0.107007 | 0.122808 | 2.11e-06 | 3:31:50 | 0:52:57
365
+ [22:03:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000622
366
+ [22:03:26] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-8000
367
+ [22:03:27] Generating 16 validation images ...
368
+ [22:03:47] Validation step 8000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0008000.png
369
+ 8050 | 2 | 0.117577 | 0.123278 | 2.01e-06 | 3:33:34 | 0:51:44
370
+ [22:05:06] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000919
371
+ 8100 | 2 | 0.079014 | 0.122952 | 1.91e-06 | 3:34:52 | 0:50:24
372
+ [22:06:24] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000982
373
+ 8150 | 2 | 0.150773 | 0.123532 | 1.81e-06 | 3:36:11 | 0:49:04
374
+ [22:07:43] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000949
375
+ 8200 | 2 | 0.100106 | 0.123671 | 1.72e-06 | 3:37:29 | 0:47:44
376
+ [22:09:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000938
377
+ 8250 | 2 | 0.068296 | 0.123382 | 1.63e-06 | 3:38:47 | 0:46:24
378
+ [22:10:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000859
379
+ 8300 | 2 | 0.121591 | 0.123383 | 1.54e-06 | 3:40:06 | 0:45:04
380
+ [22:11:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000674
381
+ 8350 | 2 | 0.085148 | 0.122406 | 1.45e-06 | 3:41:24 | 0:43:45
382
+ [22:12:56] TD diagnostics: frac_valid=0.625, td_loss_mean=0.001218
383
+ 8400 | 2 | 0.067113 | 0.121586 | 1.37e-06 | 3:42:42 | 0:42:25
384
+ [22:14:14] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000532
385
+ 8450 | 2 | 0.121273 | 0.121459 | 1.29e-06 | 3:44:01 | 0:41:05
386
+ [22:15:33] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001130
387
+ 8500 | 2 | 0.127571 | 0.122189 | 1.21e-06 | 3:45:19 | 0:39:45
388
+ [22:16:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000969
389
+ 8550 | 2 | 0.098801 | 0.121987 | 1.13e-06 | 3:46:37 | 0:38:26
390
+ [22:18:10] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000844
391
+ 8600 | 2 | 0.288325 | 0.123167 | 1.05e-06 | 3:47:56 | 0:37:06
392
+ [22:19:28] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001175
393
+ 8650 | 2 | 0.067558 | 0.121941 | 9.80e-07 | 3:49:14 | 0:35:46
394
+ [22:20:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000992
395
+ 8700 | 2 | 0.122064 | 0.122706 | 9.10e-07 | 3:50:32 | 0:34:26
396
+ [22:22:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000766
397
+ 8750 | 2 | 0.035187 | 0.122056 | 8.42e-07 | 3:51:51 | 0:33:07
398
+ [22:23:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000767
399
+ 8800 | 2 | 0.053003 | 0.121242 | 7.77e-07 | 3:53:09 | 0:31:47
400
+ [22:24:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000663
401
+ 8850 | 2 | 0.133638 | 0.122100 | 7.14e-07 | 3:54:28 | 0:30:28
402
+ [22:26:00] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001221
403
+ 8900 | 2 | 0.114527 | 0.122286 | 6.54e-07 | 3:55:46 | 0:29:08
404
+ [22:27:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001246
405
+ 8950 | 2 | 0.008288 | 0.121400 | 5.97e-07 | 3:57:04 | 0:27:48
406
+ [22:28:37] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000932
407
+ 9000 | 2 | 0.099361 | 0.121066 | 5.42e-07 | 3:58:23 | 0:26:29
408
+ [22:29:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000620
409
+ [22:29:55] Generating 16 validation images ...
410
+ [22:30:15] Validation step 9000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0009000.png
411
+ 9050 | 2 | 0.172545 | 0.121853 | 4.89e-07 | 4:00:02 | 0:25:11
412
+ [22:31:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000684
413
+ 9100 | 2 | 0.098652 | 0.121457 | 4.40e-07 | 4:01:20 | 0:23:52
414
+ [22:32:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001041
415
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416
+ [22:34:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001475
417
+ 9200 | 2 | 0.163448 | 0.121345 | 3.48e-07 | 4:03:57 | 0:21:12
418
+ [22:35:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000678
419
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420
+ [22:36:47] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001396
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422
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+ 9350 | 2 | 0.142412 | 0.123839 | 2.30e-07 | 4:07:52 | 0:17:13
424
+ [22:39:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000879
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426
+ [22:40:42] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000891
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+ [22:42:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000831
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+ 9500 | 2 | 0.032290 | 0.120854 | 1.36e-07 | 4:11:47 | 0:13:15
430
+ [22:43:19] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000784
431
+ 9550 | 2 | 0.019490 | 0.118662 | 1.11e-07 | 4:13:05 | 0:11:55
432
+ [22:44:37] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000855
433
+ 9600 | 2 | 0.127402 | 0.118691 | 8.74e-08 | 4:14:24 | 0:10:36
434
+ [22:45:56] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000983
435
+ 9650 | 2 | 0.112056 | 0.118491 | 6.69e-08 | 4:15:42 | 0:09:16
436
+ [22:47:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001472
437
+ 9700 | 2 | 0.127569 | 0.118026 | 4.92e-08 | 4:17:00 | 0:07:56
438
+ [22:48:32] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000833
439
+ 9750 | 2 | 0.071434 | 0.118007 | 3.42e-08 | 4:18:19 | 0:06:37
440
+ [22:49:51] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000710
441
+ 9800 | 2 | 0.098503 | 0.116663 | 2.19e-08 | 4:19:37 | 0:05:17
442
+ [22:51:09] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000809
443
+ 9850 | 2 | 0.090953 | 0.116126 | 1.23e-08 | 4:20:56 | 0:03:58
444
+ [22:52:28] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000599
445
+ 9900 | 2 | 0.084289 | 0.116022 | 5.47e-09 | 4:22:14 | 0:02:38
446
+ [22:53:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000773
447
+ 9950 | 2 | 0.050764 | 0.114521 | 1.37e-09 | 4:23:33 | 0:01:19
448
+ [22:55:05] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000716
449
+ 10000 | 2 | 0.145773 | 0.115733 | 0.00e+00 | 4:24:51 | 0:00:00
450
+ [22:56:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000821
451
+ [22:56:28] Saved checkpoint -> RESULTS/102flowers/run_017/checkpoint-10000
452
+ [22:56:29] Generating 16 validation images ...
453
+ [22:56:49] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
454
+ [22:56:49] --- Epoch 2 | Steps: 2834 | Avg Loss: 0.119770 ---
455
+ [22:56:49] Saving final model ...
456
+ [22:57:01] Pipeline saved -> RESULTS/102flowers/run_017
457
+ [22:57:01] Generating final validation collage ...
458
+ [22:57:01] Generating 16 validation images ...
459
+ [22:57:21] Validation step 10000: 16 images -> RESULTS/102flowers/run_017/validation/collage_step_0010000.png
460
+ [22:57:22]
461
+ [22:57:22] ============================================================
462
+ [22:57:22] TRAINING SUMMARY
463
+ [22:57:22] ============================================================
464
+ [22:57:22] Total steps : 200
465
+ [22:57:22] Final loss : 0.145773
466
+ [22:57:22] Avg last 100 : 0.115733
467
+ [22:57:22] Min loss : 0.008288
468
+ [22:57:22] Total time : 4:25:49
469
+ [22:57:22] Output : RESULTS/102flowers/run_017
470
+ [22:57:22] ============================================================
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