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  1. .gitattributes +1 -0
  2. pixart_sigma/Baseline/.ipynb_checkpoints/training-checkpoint.log +268 -0
  3. pixart_sigma/Baseline/Eval/eval.log.rank0 +37 -0
  4. pixart_sigma/Baseline/Eval/eval.log.rank1 +0 -0
  5. pixart_sigma/Baseline/Eval/eval.log.rank2 +0 -0
  6. pixart_sigma/Baseline/Eval/eval.log.rank3 +0 -0
  7. pixart_sigma/Baseline/Eval/eval_results.json +17 -0
  8. pixart_sigma/Baseline/checkpoint-10000/transformer/config.json +30 -0
  9. pixart_sigma/Baseline/checkpoint-6000/transformer/config.json +30 -0
  10. pixart_sigma/Baseline/checkpoint-8000/transformer/config.json +30 -0
  11. pixart_sigma/Baseline/scheduler/scheduler_config.json +32 -0
  12. pixart_sigma/Baseline/text_encoder/config.json +33 -0
  13. pixart_sigma/Baseline/transformer/config.json +30 -0
  14. pixart_sigma/Baseline/vae/config.json +38 -0
  15. pixart_sigma/RAD/.ipynb_checkpoints/training-checkpoint.log +304 -0
  16. pixart_sigma/RAD/Eval/eval.log.rank0 +32 -0
  17. pixart_sigma/RAD/Eval/eval.log.rank1 +0 -0
  18. pixart_sigma/RAD/Eval/eval.log.rank2 +0 -0
  19. pixart_sigma/RAD/Eval/eval.log.rank3 +0 -0
  20. pixart_sigma/RAD/Eval/eval_results.json +17 -0
  21. pixart_sigma/RAD/scheduler/scheduler_config.json +32 -0
  22. pixart_sigma/RAD/text_encoder/config.json +33 -0
  23. pixart_sigma/RAD/tokenizer/tokenizer.json +0 -0
  24. pixart_sigma/RAD/tokenizer/tokenizer_config.json +117 -0
  25. pixart_sigma/RAD/transformer/config.json +30 -0
  26. pixart_sigma/RAD/vae/config.json +38 -0
  27. sana 0.6/TD/Eval/generated_images/rank_0/000056.png +3 -0
  28. sana 0.6/TD/Eval/generated_images/rank_0/000111.png +3 -0
  29. sana 0.6/TD/Eval/generated_images/rank_0/000145.png +3 -0
  30. sana 0.6/TD/Eval/generated_images/rank_0/000228.png +3 -0
  31. sana 0.6/TD/Eval/generated_images/rank_0/000343.png +3 -0
  32. sana 0.6/TD/Eval/generated_images/rank_0/000420.png +3 -0
  33. sana 0.6/TD/Eval/generated_images/rank_0/000433.png +3 -0
  34. sana 0.6/TD/Eval/generated_images/rank_0/000470.png +3 -0
  35. sana 0.6/TD/Eval/generated_images/rank_0/000475.png +3 -0
  36. sana 0.6/TD/Eval/generated_images/rank_0/000537.png +3 -0
  37. sana 0.6/TD/Eval/generated_images/rank_0/000581.png +3 -0
  38. sana 0.6/TD/Eval/generated_images/rank_0/000597.png +3 -0
  39. sana 0.6/TD/Eval/generated_images/rank_0/000601.png +3 -0
  40. sana 0.6/TD/Eval/generated_images/rank_0/000665.png +3 -0
  41. sana 0.6/TD/Eval/generated_images/rank_0/000761.png +3 -0
  42. sana 0.6/TD/Eval/generated_images/rank_0/000768.png +3 -0
  43. sana 0.6/TD/Eval/generated_images/rank_0/000798.png +3 -0
  44. sana 0.6/TD/Eval/generated_images/rank_0/000839.png +3 -0
  45. sana 0.6/TD/Eval/generated_images/rank_0/000878.png +3 -0
  46. sana 0.6/TD/Eval/generated_images/rank_0/000902.png +3 -0
  47. sana 0.6/TD/Eval/generated_images/rank_0/001047.png +3 -0
  48. sana 0.6/TD/Eval/generated_images/rank_0/001057.png +3 -0
  49. sana 0.6/TD/Eval/generated_images/rank_0/001121.png +3 -0
  50. sana 0.6/TD/Eval/generated_images/rank_0/001127.png +3 -0
.gitattributes CHANGED
@@ -68,3 +68,4 @@ Magick/sana1.6/RAD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
68
  Magick/sana1.6/SRA/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Magick/sana1.6/SpeeD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Magick/sana1.6/TD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
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  Magick/sana1.6/SRA/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Magick/sana1.6/SpeeD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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  Magick/sana1.6/TD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ sana[[:space:]]0.6/TD/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
pixart_sigma/Baseline/.ipynb_checkpoints/training-checkpoint.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
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+ [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
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+ [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
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+ 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
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+ 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
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+ 2250 | 0 | 0.045646 | 0.127337 | 1.84e-05 | 0:50:09 | 2:52:45
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+ 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
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+ 2900 | 0 | 0.092662 | 0.123037 | 1.70e-05 | 1:03:38 | 2:35:48
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+ 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
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+ 3200 | 0 | 0.085266 | 0.123107 | 1.63e-05 | 1:11:10 | 2:31:14
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+ 3250 | 0 | 0.096069 | 0.122691 | 1.61e-05 | 1:12:12 | 2:29:58
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+ 3300 | 0 | 0.120897 | 0.122664 | 1.60e-05 | 1:13:14 | 2:28:42
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+ 3350 | 0 | 0.182366 | 0.123555 | 1.59e-05 | 1:14:17 | 2:27:27
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+ 3400 | 0 | 0.148275 | 0.123919 | 1.57e-05 | 1:15:19 | 2:26:13
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+ 3450 | 0 | 0.133047 | 0.124051 | 1.56e-05 | 1:16:21 | 2:24:58
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+ 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
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163
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164
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166
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168
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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] ============================================================
pixart_sigma/Baseline/Eval/eval.log.rank0 ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2026-08-18 03:22:10] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/102flowers/run_018 ...
2
+ [2026-08-18 03:22:10] [RANK-0] [INFO] Using dtype: torch.bfloat16 (fp16 is known to overflow/NaN on PixArt-Sigma's transformer + T5 text encoder; bf16 fixes it)
3
+ [2026-08-18 03:22:45] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ...
4
+ [2026-08-18 03:22:49] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
5
+ [2026-08-18 03:22:54] [RANK-0] [INFO] Loading LPIPS ...
6
+ [2026-08-18 03:22:55] [RANK-0] [INFO] Loading PickScore ...
7
+ [2026-08-18 03:23:29] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
8
+ [2026-08-18 03:24:27] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
9
+ [2026-08-18 03:25:11] [RANK-0] [INFO] Loading Aesthetic scorer ...
10
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Dataset: 12285 samples split across 4 GPUs (~96 batches/rank)
11
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Starting evaluation...
12
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Checkpoint : RESULTS/102flowers/run_018
13
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Gen dtype : torch.bfloat16
14
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Total samples: 12285 | World size: 4
15
+ [2026-08-18 03:25:17] [RANK-0] [INFO] FID dim : 2048 | Inf steps: 20 | Guidance: 5.0
16
+ [2026-08-18 03:25:17] [RANK-0] [INFO] Saving generated images to: ./RESULTS/102flowers/run_018/Eval/generated_images
17
+ [2026-08-18 03:53:23] [RANK-0] [INFO] [rank 0] Batch [10/96] | CLIP 30.9847 | LPIPS 0.7392 | Pick 0.2187 | HPSv2 0.2646 | HPSv2.1 0.2516 | Aes 4.9314
18
+ [2026-08-18 04:21:05] [RANK-0] [INFO] [rank 0] Batch [20/96] | CLIP 31.0354 | LPIPS 0.7396 | Pick 0.2182 | HPSv2 0.2635 | HPSv2.1 0.2507 | Aes 4.9238
19
+ [2026-08-18 04:48:32] [RANK-0] [INFO] [rank 0] Batch [30/96] | CLIP 31.0418 | LPIPS 0.7401 | Pick 0.2183 | HPSv2 0.2638 | HPSv2.1 0.2511 | Aes 4.9235
20
+ [2026-08-18 05:17:05] [RANK-0] [INFO] [rank 0] Batch [40/96] | CLIP 31.0120 | LPIPS 0.7406 | Pick 0.2182 | HPSv2 0.2638 | HPSv2.1 0.2508 | Aes 4.9248
21
+ [2026-08-18 05:43:42] [RANK-0] [INFO] [rank 0] Batch [50/96] | CLIP 30.9963 | LPIPS 0.7408 | Pick 0.2183 | HPSv2 0.2639 | HPSv2.1 0.2511 | Aes 4.9288
22
+ [2026-08-18 06:10:32] [RANK-0] [INFO] [rank 0] Batch [60/96] | CLIP 30.9671 | LPIPS 0.7401 | Pick 0.2182 | HPSv2 0.2638 | HPSv2.1 0.2510 | Aes 4.9286
23
+ [2026-08-18 06:36:02] [RANK-0] [INFO] [rank 0] Batch [70/96] | CLIP 31.0005 | LPIPS 0.7406 | Pick 0.2183 | HPSv2 0.2638 | HPSv2.1 0.2510 | Aes 4.9265
24
+ [2026-08-18 07:04:28] [RANK-0] [INFO] [rank 0] Batch [80/96] | CLIP 30.9759 | LPIPS 0.7403 | Pick 0.2183 | HPSv2 0.2637 | HPSv2.1 0.2508 | Aes 4.9252
25
+ [2026-08-18 07:33:59] [RANK-0] [INFO] [rank 0] Batch [90/96] | CLIP 30.9731 | LPIPS 0.7402 | Pick 0.2182 | HPSv2 0.2636 | HPSv2.1 0.2507 | Aes 4.9258
26
+ [2026-08-18 07:50:08] [RANK-0] [INFO] Finished feature extraction. Computing final FID...
27
+ [2026-08-18 07:50:18] [RANK-0] [INFO] Gathering other-metric results from all ranks ...
28
+ [2026-08-18 07:50:18] [RANK-0] [INFO] ============================================================
29
+ [2026-08-18 07:50:18] [RANK-0] [INFO] FID : 36.486591
30
+ [2026-08-18 07:50:18] [RANK-0] [INFO] CLIP : 30.994124
31
+ [2026-08-18 07:50:18] [RANK-0] [INFO] LPIPS : 0.739545
32
+ [2026-08-18 07:50:18] [RANK-0] [INFO] PickScore : 0.218180
33
+ [2026-08-18 07:50:18] [RANK-0] [INFO] HPSv2 : 0.263562
34
+ [2026-08-18 07:50:18] [RANK-0] [INFO] HPSv2.1 : 0.250841
35
+ [2026-08-18 07:50:18] [RANK-0] [INFO] Aesthetic : 4.924007
36
+ [2026-08-18 07:50:18] [RANK-0] [INFO] ============================================================
37
+ [2026-08-18 07:50:18] [RANK-0] [INFO] Results saved to ./RESULTS/102flowers/run_018/Eval/eval_results.json
pixart_sigma/Baseline/Eval/eval.log.rank1 ADDED
File without changes
pixart_sigma/Baseline/Eval/eval.log.rank2 ADDED
File without changes
pixart_sigma/Baseline/Eval/eval.log.rank3 ADDED
File without changes
pixart_sigma/Baseline/Eval/eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "checkpoint": "RESULTS/102flowers/run_018",
3
+ "gen_dtype": "torch.bfloat16",
4
+ "num_samples": 12285,
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+ "world_size": 4,
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+ "resolution": 512,
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+ "fid_dim": 2048,
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+ "inf_steps": 20,
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+ "guidance": 5.0,
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+ "FID": 36.48659133911133,
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+ "CLIP": 30.9941236084948,
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+ "LPIPS": 0.7395454966463149,
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+ "PickScore": 0.21817963663609893,
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+ "HPSv2": 0.26356160232777864,
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+ "HPSv2.1": 0.25084053934066713,
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+ "Aesthetic": 4.9240068681538105
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+ }
pixart_sigma/Baseline/checkpoint-10000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "activation_fn": "gelu-approximate",
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+ "attention_bias": true,
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+ "attention_head_dim": 72,
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+ "attention_type": "default",
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+ "caption_channels": 4096,
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+ "cross_attention_dim": 1152,
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+ "double_self_attention": false,
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+ "dropout": 0.0,
13
+ "in_channels": 4,
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+ "interpolation_scale": 1,
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+ "norm_elementwise_affine": false,
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+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
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+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
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+ "num_embeds_ada_norm": 1000,
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+ "num_layers": 28,
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+ "num_vector_embeds": null,
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+ "only_cross_attention": false,
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+ "out_channels": 8,
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+ "patch_size": 2,
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+ "sample_size": 64,
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+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
pixart_sigma/Baseline/checkpoint-6000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
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+ "attention_head_dim": 72,
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+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
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+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
15
+ "norm_elementwise_affine": false,
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+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
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+ "norm_type": "ada_norm_single",
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+ "num_attention_heads": 16,
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+ "num_embeds_ada_norm": 1000,
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+ "num_layers": 28,
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+ "num_vector_embeds": null,
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+ "only_cross_attention": false,
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+ "out_channels": 8,
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+ "patch_size": 2,
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+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
pixart_sigma/Baseline/checkpoint-8000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
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+ "attention_head_dim": 72,
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+ "attention_type": "default",
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+ "caption_channels": 4096,
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+ "cross_attention_dim": 1152,
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+ "double_self_attention": false,
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+ "dropout": 0.0,
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+ "in_channels": 4,
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+ "interpolation_scale": 1,
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+ "norm_elementwise_affine": false,
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+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
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+ "norm_type": "ada_norm_single",
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+ "num_attention_heads": 16,
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+ "num_embeds_ada_norm": 1000,
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+ "num_layers": 28,
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+ "num_vector_embeds": null,
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+ "only_cross_attention": false,
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+ "out_channels": 8,
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+ "patch_size": 2,
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+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
pixart_sigma/Baseline/scheduler/scheduler_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "DPMSolverMultistepScheduler",
3
+ "_diffusers_version": "0.37.1",
4
+ "algorithm_type": "dpmsolver++",
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+ "beta_end": 0.02,
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+ "beta_schedule": "linear",
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+ "beta_start": 0.0001,
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+ "dynamic_thresholding_ratio": 0.995,
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+ "euler_at_final": false,
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+ "final_sigmas_type": "zero",
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+ "flow_shift": 1.0,
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+ "lambda_min_clipped": -Infinity,
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+ "lower_order_final": true,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "epsilon",
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+ "rescale_betas_zero_snr": false,
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+ "sample_max_value": 1.0,
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+ "solver_order": 2,
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+ "solver_type": "midpoint",
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+ "steps_offset": 0,
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+ "thresholding": false,
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+ "time_shift_type": "exponential",
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+ "timestep_spacing": "linspace",
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+ "trained_betas": null,
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+ "use_beta_sigmas": false,
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+ "use_dynamic_shifting": false,
27
+ "use_exponential_sigmas": false,
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+ "use_flow_sigmas": false,
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+ "use_karras_sigmas": false,
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+ "use_lu_lambdas": false,
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+ "variance_type": null
32
+ }
pixart_sigma/Baseline/text_encoder/config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "T5EncoderModel"
4
+ ],
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+ }
pixart_sigma/Baseline/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "use_additional_conditions": null,
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+ "use_linear_projection": false
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+ }
pixart_sigma/Baseline/vae/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_class_name": "AutoencoderKL",
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pixart_sigma/RAD/.ipynb_checkpoints/training-checkpoint.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
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+ 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
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+ 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
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+ 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
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+ 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
+ 6450 | 1 | 0.027045 | 0.047108 | 0.136944 | 0.030489 | -0.106455 | 1.0000 | -0.0102 | 300.00 | 2.00e-05 | 2:54:30 | 1:36:02
198
+ 6500 | 1 | 0.125532 | 0.047354 | 0.174820 | 0.128327 | -0.046493 | 1.0000 | -0.0102 | 300.00 | 2.00e-05 | 2:55:55 | 1:34:43
199
+ [17:35:24] [TAM @ 6500] mean=-0.0102 std=0.0148 max=0.0151 visits=51996
200
+ 6550 | 1 | 0.089929 | 0.047943 | 0.084554 | 0.082662 | -0.001892 | 1.0000 | -0.0103 | 300.00 | 2.00e-05 | 2:57:20 | 1:33:24
201
+ 6600 | 1 | 0.037879 | 0.048256 | 0.130846 | 0.037981 | -0.092865 | 1.0000 | -0.0104 | 300.00 | 2.00e-05 | 2:58:42 | 1:32:03
202
+ 6650 | 1 | 0.087999 | 0.048426 | 0.140982 | 0.089853 | -0.051129 | 1.0000 | -0.0105 | 300.00 | 2.00e-05 | 3:00:05 | 1:30:43
203
+ 6700 | 1 | 0.064003 | 0.048687 | 0.105719 | 0.064455 | -0.041264 | 1.0000 | -0.0106 | 300.00 | 2.00e-05 | 3:01:28 | 1:29:22
204
+ 6750 | 1 | 0.092182 | 0.048231 | 0.110785 | 0.092101 | -0.018684 | 1.0000 | -0.0106 | 300.00 | 2.00e-05 | 3:02:51 | 1:28:02
205
+ 6800 | 1 | 0.137561 | 0.048428 | 0.174609 | 0.136206 | -0.038403 | 1.0000 | -0.0107 | 300.00 | 2.00e-05 | 3:04:17 | 1:26:43
206
+ 6850 | 1 | 0.189223 | 0.049588 | 0.187482 | 0.182868 | -0.004614 | 1.0000 | -0.0108 | 300.00 | 2.00e-05 | 3:05:40 | 1:25:23
207
+ 6900 | 1 | 0.026576 | 0.049456 | 0.042876 | 0.028246 | -0.014631 | 1.0000 | -0.0109 | 300.00 | 2.00e-05 | 3:07:02 | 1:24:02
208
+ 6950 | 1 | 0.060149 | 0.048844 | 0.080505 | 0.056871 | -0.023634 | 1.0000 | -0.0109 | 300.00 | 2.00e-05 | 3:08:27 | 1:22:42
209
+ 7000 | 1 | 0.011537 | 0.048128 | 0.118465 | 0.014466 | -0.103998 | 1.0000 | -0.0110 | 300.00 | 2.00e-05 | 3:09:55 | 1:21:23
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
+ 7200 | 2 | 0.016667 | 0.046605 | 0.107512 | 0.018320 | -0.089191 | 1.0000 | -0.0113 | 300.00 | 2.00e-05 | 3:15:57 | 1:16:12
218
+ 7250 | 2 | 0.083052 | 0.046809 | 0.159383 | 0.088051 | -0.071332 | 1.0000 | -0.0114 | 300.00 | 2.00e-05 | 3:17:20 | 1:14:51
219
+ 7300 | 2 | 0.060267 | 0.046709 | 0.152672 | 0.065098 | -0.087574 | 1.0000 | -0.0115 | 300.00 | 2.00e-05 | 3:18:43 | 1:13:30
220
+ 7350 | 2 | 0.029887 | 0.046393 | 0.088513 | 0.030409 | -0.058104 | 1.0000 | -0.0115 | 300.00 | 2.00e-05 | 3:20:05 | 1:12:08
221
+ 7400 | 2 | 0.188875 | 0.048052 | 0.210534 | 0.180726 | -0.029808 | 1.0000 | -0.0116 | 300.00 | 2.00e-05 | 3:21:27 | 1:10:46
222
+ 7450 | 2 | 0.107230 | 0.048875 | 0.224433 | 0.121620 | -0.102813 | 1.0000 | -0.0116 | 300.00 | 2.00e-05 | 3:22:55 | 1:09:27
223
+ 7500 | 2 | 0.188766 | 0.050687 | 0.192790 | 0.175774 | -0.017016 | 1.0000 | -0.0117 | 300.00 | 2.00e-05 | 3:24:19 | 1:08:06
224
+ [18:03:47] [TAM @ 7500] mean=-0.0117 std=0.0155 max=0.0151 visits=59992
225
+ 7550 | 2 | 0.064230 | 0.051070 | 0.175142 | 0.069211 | -0.105931 | 1.0000 | -0.0118 | 300.00 | 2.00e-05 | 3:25:40 | 1:06:44
226
+ 7600 | 2 | 0.005211 | 0.050485 | 0.058826 | 0.006343 | -0.052483 | 1.0000 | -0.0118 | 300.00 | 2.00e-05 | 3:27:03 | 1:05:23
227
+ 7650 | 2 | 0.077365 | 0.050325 | 0.102351 | 0.075892 | -0.026459 | 1.0000 | -0.0119 | 300.00 | 2.00e-05 | 3:28:28 | 1:04:02
228
+ 7700 | 2 | 0.177591 | 0.052008 | 0.193459 | 0.176801 | -0.016658 | 1.0000 | -0.0120 | 300.00 | 2.00e-05 | 3:29:54 | 1:02:41
229
+ 7750 | 2 | 0.099060 | 0.052884 | 0.155011 | 0.102744 | -0.052267 | 1.0000 | -0.0121 | 300.00 | 2.00e-05 | 3:31:20 | 1:01:21
230
+ 7800 | 2 | 0.078609 | 0.053571 | 0.106727 | 0.079128 | -0.027599 | 1.0000 | -0.0121 | 300.00 | 2.00e-05 | 3:32:45 | 1:00:00
231
+ 7850 | 2 | 0.140487 | 0.054550 | 0.124357 | 0.128918 | 0.004561 | 1.0000 | -0.0122 | 300.00 | 2.00e-05 | 3:34:11 | 0:58:39
232
+ 7900 | 2 | 0.014698 | 0.054446 | 0.112101 | 0.017327 | -0.094774 | 1.0000 | -0.0122 | 300.00 | 2.00e-05 | 3:35:34 | 0:57:18
233
+ 7950 | 2 | 0.031751 | 0.053982 | 0.061924 | 0.033256 | -0.028668 | 1.0000 | -0.0123 | 300.00 | 2.00e-05 | 3:36:56 | 0:55:56
234
+ 8000 | 2 | 0.040158 | 0.054157 | 0.090092 | 0.041981 | -0.048111 | 1.0000 | -0.0124 | 300.00 | 2.00e-05 | 3:38:21 | 0:54:35
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
240
+ 8100 | 2 | 0.017611 | 0.054184 | 0.090900 | 0.020825 | -0.070075 | 1.0000 | -0.0125 | 300.00 | 2.00e-05 | 3:41:42 | 0:52:00
241
+ 8150 | 2 | 0.251911 | 0.056199 | 0.252617 | 0.244794 | -0.007822 | 1.0000 | -0.0125 | 300.00 | 2.00e-05 | 3:43:06 | 0:50:38
242
+ 8200 | 2 | 0.008546 | 0.056163 | 0.049096 | 0.010442 | -0.038653 | 1.0000 | -0.0126 | 300.00 | 2.00e-05 | 3:44:31 | 0:49:17
243
+ 8250 | 2 | 0.029911 | 0.056274 | 0.073266 | 0.032782 | -0.040484 | 1.0000 | -0.0127 | 300.00 | 2.00e-05 | 3:45:54 | 0:47:55
244
+ 8300 | 2 | 0.226004 | 0.058269 | 0.228172 | 0.216761 | -0.011411 | 1.0000 | -0.0128 | 300.00 | 2.00e-05 | 3:47:17 | 0:46:33
245
+ 8350 | 2 | 0.032697 | 0.058232 | 0.109529 | 0.034329 | -0.075200 | 1.0000 | -0.0128 | 300.00 | 2.00e-05 | 3:48:42 | 0:45:11
246
+ 8400 | 2 | 0.134873 | 0.058967 | 0.148161 | 0.125722 | -0.022439 | 1.0000 | -0.0129 | 300.00 | 2.00e-05 | 3:50:05 | 0:43:49
247
+ 8450 | 2 | 0.042841 | 0.058955 | 0.071862 | 0.042679 | -0.029183 | 1.0000 | -0.0130 | 300.00 | 2.00e-05 | 3:51:29 | 0:42:27
248
+ 8500 | 2 | 0.074234 | 0.058943 | 0.090433 | 0.076424 | -0.014009 | 1.0000 | -0.0131 | 300.00 | 2.00e-05 | 3:52:51 | 0:41:05
249
+ [18:32:20] [TAM @ 8500] mean=-0.0131 std=0.0164 max=0.0151 visits=67992
250
+ 8550 | 2 | 0.015470 | 0.058758 | 0.169106 | 0.039278 | -0.129828 | 1.0000 | -0.0131 | 300.00 | 2.00e-05 | 3:54:14 | 0:39:43
251
+ 8600 | 2 | 0.056736 | 0.058765 | 0.096835 | 0.057759 | -0.039076 | 1.0000 | -0.0132 | 300.00 | 2.00e-05 | 3:55:37 | 0:38:21
252
+ 8650 | 2 | 0.030673 | 0.058347 | 0.078262 | 0.032615 | -0.045647 | 1.0000 | -0.0133 | 300.00 | 2.00e-05 | 3:57:00 | 0:36:59
253
+ 8700 | 2 | 0.018284 | 0.058270 | 0.033808 | 0.020405 | -0.013403 | 1.0000 | -0.0133 | 300.00 | 2.00e-05 | 3:58:22 | 0:35:37
254
+ 8750 | 2 | 0.084905 | 0.059067 | 0.113953 | 0.082923 | -0.031030 | 1.0000 | -0.0134 | 300.00 | 2.00e-05 | 3:59:44 | 0:34:14
255
+ 8800 | 2 | 0.065261 | 0.059284 | 0.189001 | 0.069293 | -0.119708 | 1.0000 | -0.0135 | 300.00 | 2.00e-05 | 4:01:08 | 0:32:52
256
+ 8850 | 2 | 0.130053 | 0.060046 | 0.131917 | 0.122996 | -0.008921 | 1.0000 | -0.0135 | 300.00 | 2.00e-05 | 4:02:29 | 0:31:30
257
+ 8900 | 2 | 0.060780 | 0.060644 | 0.158632 | 0.067907 | -0.090725 | 1.0000 | -0.0136 | 300.00 | 2.00e-05 | 4:03:52 | 0:30:08
258
+ 8950 | 2 | 0.028662 | 0.060520 | 0.083120 | 0.028237 | -0.054883 | 1.0000 | -0.0137 | 300.00 | 2.00e-05 | 4:05:17 | 0:28:46
259
+ 9000 | 2 | 0.033171 | 0.060650 | 0.059153 | 0.036206 | -0.022948 | 1.0000 | -0.0137 | 300.00 | 2.00e-05 | 4:06:42 | 0:27:24
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
+ 9050 | 2 | 0.008220 | 0.060613 | 0.170079 | 0.022787 | -0.147292 | 1.0000 | -0.0138 | 300.00 | 2.00e-05 | 4:08:35 | 0:26:05
264
+ 9100 | 2 | 0.189488 | 0.062178 | 0.186943 | 0.187093 | 0.000150 | 1.0000 | -0.0139 | 300.00 | 2.00e-05 | 4:09:57 | 0:24:43
265
+ 9150 | 2 | 0.025863 | 0.062112 | 0.034922 | 0.027439 | -0.007483 | 1.0000 | -0.0139 | 300.00 | 2.00e-05 | 4:11:20 | 0:23:20
266
+ 9200 | 2 | 0.110415 | 0.063180 | 0.114842 | 0.106132 | -0.008711 | 1.0000 | -0.0140 | 300.00 | 2.00e-05 | 4:12:45 | 0:21:58
267
+ 9250 | 2 | 0.028691 | 0.063315 | 0.054203 | 0.032145 | -0.022057 | 1.0000 | -0.0140 | 300.00 | 2.00e-05 | 4:14:08 | 0:20:36
268
+ 9300 | 2 | 0.120374 | 0.064078 | 0.144749 | 0.112372 | -0.032377 | 1.0000 | -0.0141 | 300.00 | 2.00e-05 | 4:15:31 | 0:19:14
269
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270
+ 9400 | 2 | 0.089498 | 0.065568 | 0.146790 | 0.091449 | -0.055341 | 1.0000 | -0.0142 | 300.00 | 2.00e-05 | 4:18:17 | 0:16:29
271
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272
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273
+ [19:00:31] [TAM @ 9500] mean=-0.0143 std=0.0169 max=0.0151 visits=75992
274
+ 9550 | 2 | 0.009525 | 0.067158 | 0.052918 | 0.009558 | -0.043360 | 1.0000 | -0.0144 | 300.00 | 2.00e-05 | 4:22:28 | 0:12:22
275
+ 9600 | 2 | 0.023647 | 0.067237 | 0.042054 | 0.024779 | -0.017276 | 1.0000 | -0.0145 | 300.00 | 2.00e-05 | 4:23:50 | 0:10:59
276
+ 9650 | 2 | 0.042853 | 0.067521 | 0.106028 | 0.043094 | -0.062934 | 1.0000 | -0.0145 | 300.00 | 2.00e-05 | 4:25:15 | 0:09:37
277
+ 9700 | 2 | 0.060350 | 0.067937 | 0.174834 | 0.066267 | -0.108567 | 1.0000 | -0.0146 | 300.00 | 2.00e-05 | 4:26:38 | 0:08:14
278
+ 9750 | 2 | 0.122685 | 0.069061 | 0.150793 | 0.123757 | -0.027036 | 1.0000 | -0.0146 | 300.00 | 2.00e-05 | 4:28:01 | 0:06:52
279
+ 9800 | 2 | 0.006744 | 0.069037 | 0.202677 | 0.017139 | -0.185538 | 1.0000 | -0.0147 | 300.00 | 2.00e-05 | 4:29:24 | 0:05:29
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] ============================================================
pixart_sigma/RAD/Eval/eval.log.rank0 ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2026-08-18 10:12:24] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/102flowers/run_017 ...
2
+ [2026-08-18 10:12:24] [RANK-0] [INFO] Using dtype: torch.bfloat16 (fp16 is known to overflow/NaN on PixArt-Sigma's transformer + T5 text encoder; bf16 fixes it)
3
+ [2026-08-18 10:12:30] [RANK-0] [INFO] Loading FID metric (torchmetrics, feature=2048) ...
4
+ [2026-08-18 10:12:30] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
5
+ [2026-08-18 10:12:32] [RANK-0] [INFO] Loading LPIPS ...
6
+ [2026-08-18 10:12:32] [RANK-0] [INFO] Loading PickScore ...
7
+ [2026-08-18 10:12:41] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
8
+ [2026-08-18 10:12:51] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
9
+ [2026-08-18 10:12:58] [RANK-0] [INFO] Loading Aesthetic scorer ...
10
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Dataset: 12285 samples split across 4 GPUs (~48 batches/rank)
11
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Starting evaluation...
12
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Checkpoint : RESULTS/102flowers/run_017
13
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Gen dtype : torch.bfloat16
14
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Total samples: 12285 | World size: 4
15
+ [2026-08-18 10:13:02] [RANK-0] [INFO] FID dim : 2048 | Inf steps: 20 | Guidance: 5.0
16
+ [2026-08-18 10:13:02] [RANK-0] [INFO] Saving generated images to: ./RESULTS/102flowers/run_017/Eval/generated_images
17
+ [2026-08-18 10:24:31] [RANK-0] [INFO] [rank 0] Batch [10/48] | CLIP 31.0719 | LPIPS 0.7375 | Pick 0.2178 | HPSv2 0.2629 | HPSv2.1 0.2478 | Aes 4.8797
18
+ [2026-08-18 10:35:58] [RANK-0] [INFO] [rank 0] Batch [20/48] | CLIP 31.0180 | LPIPS 0.7392 | Pick 0.2178 | HPSv2 0.2629 | HPSv2.1 0.2479 | Aes 4.8775
19
+ [2026-08-18 10:47:24] [RANK-0] [INFO] [rank 0] Batch [30/48] | CLIP 30.9805 | LPIPS 0.7390 | Pick 0.2178 | HPSv2 0.2628 | HPSv2.1 0.2480 | Aes 4.8806
20
+ [2026-08-18 10:58:51] [RANK-0] [INFO] [rank 0] Batch [40/48] | CLIP 30.9800 | LPIPS 0.7393 | Pick 0.2178 | HPSv2 0.2627 | HPSv2.1 0.2480 | Aes 4.8791
21
+ [2026-08-18 11:08:01] [RANK-0] [INFO] Finished feature extraction. Computing final FID...
22
+ [2026-08-18 11:08:15] [RANK-0] [INFO] Gathering other-metric results from all ranks ...
23
+ [2026-08-18 11:08:15] [RANK-0] [INFO] ============================================================
24
+ [2026-08-18 11:08:15] [RANK-0] [INFO] FID : 37.167503
25
+ [2026-08-18 11:08:15] [RANK-0] [INFO] CLIP : 31.011789
26
+ [2026-08-18 11:08:15] [RANK-0] [INFO] LPIPS : 0.739759
27
+ [2026-08-18 11:08:15] [RANK-0] [INFO] PickScore : 0.217717
28
+ [2026-08-18 11:08:15] [RANK-0] [INFO] HPSv2 : 0.262687
29
+ [2026-08-18 11:08:15] [RANK-0] [INFO] HPSv2.1 : 0.248237
30
+ [2026-08-18 11:08:15] [RANK-0] [INFO] Aesthetic : 4.883321
31
+ [2026-08-18 11:08:15] [RANK-0] [INFO] ============================================================
32
+ [2026-08-18 11:08:15] [RANK-0] [INFO] Results saved to ./RESULTS/102flowers/run_017/Eval/eval_results.json
pixart_sigma/RAD/Eval/eval.log.rank1 ADDED
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pixart_sigma/RAD/Eval/eval.log.rank2 ADDED
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pixart_sigma/RAD/Eval/eval.log.rank3 ADDED
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+ "variance_type": null
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+ }
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+ "vocab_size": 32128
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+ {
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ }
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+ {
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+ "_class_name": "AutoencoderKL",
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+ "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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