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  1. multigen/pixart_alpha/run_008/checkpoint-10000/transformer/config.json +30 -0
  2. multigen/pixart_alpha/run_008/checkpoint-6000/transformer/config.json +30 -0
  3. multigen/pixart_alpha/run_008/checkpoint-8000/transformer/config.json +30 -0
  4. multigen/pixart_alpha/run_008/model_index.json +24 -0
  5. multigen/pixart_alpha/run_008/scheduler/scheduler_config.json +32 -0
  6. multigen/pixart_alpha/run_008/text_encoder/config.json +33 -0
  7. multigen/pixart_alpha/run_008/tokenizer/tokenizer.json +0 -0
  8. multigen/pixart_alpha/run_008/tokenizer/tokenizer_config.json +117 -0
  9. multigen/pixart_alpha/run_008/training.log +266 -0
  10. multigen/pixart_alpha/run_008/training_args.json +41 -0
  11. multigen/pixart_alpha/run_008/training_summary.json +7 -0
  12. multigen/pixart_alpha/run_008/transformer/config.json +30 -0
  13. multigen/pixart_alpha/run_008/vae/config.json +38 -0
  14. multigen/pixart_alpha/run_009/checkpoint-10000/transformer/config.json +30 -0
  15. multigen/pixart_alpha/run_009/checkpoint-6000/transformer/config.json +30 -0
  16. multigen/pixart_alpha/run_009/checkpoint-8000/transformer/config.json +30 -0
  17. multigen/pixart_alpha/run_009/model_index.json +24 -0
  18. multigen/pixart_alpha/run_009/scheduler/scheduler_config.json +32 -0
  19. multigen/pixart_alpha/run_009/text_encoder/config.json +33 -0
  20. multigen/pixart_alpha/run_009/tokenizer/tokenizer.json +0 -0
  21. multigen/pixart_alpha/run_009/tokenizer/tokenizer_config.json +117 -0
  22. multigen/pixart_alpha/run_009/training.log +302 -0
  23. multigen/pixart_alpha/run_009/training_args.json +49 -0
  24. multigen/pixart_alpha/run_009/training_summary.json +7 -0
  25. multigen/pixart_alpha/run_009/transformer/config.json +30 -0
  26. multigen/pixart_alpha/run_009/vae/config.json +38 -0
  27. multigen/pixart_alpha/run_010/checkpoint-10000/transformer/config.json +30 -0
  28. multigen/pixart_alpha/run_010/checkpoint-12000/transformer/config.json +30 -0
  29. multigen/pixart_alpha/run_010/model_index.json +24 -0
  30. multigen/pixart_alpha/run_010/scheduler/scheduler_config.json +32 -0
  31. multigen/pixart_alpha/run_010/text_encoder/config.json +33 -0
  32. multigen/pixart_alpha/run_010/tokenizer/tokenizer.json +0 -0
  33. multigen/pixart_alpha/run_010/tokenizer/tokenizer_config.json +118 -0
  34. multigen/pixart_alpha/run_010/training.log +337 -0
  35. multigen/pixart_alpha/run_010/training_args.json +39 -0
  36. multigen/pixart_alpha/run_010/training_summary.json +7 -0
  37. multigen/pixart_alpha/run_010/transformer/config.json +30 -0
  38. multigen/pixart_alpha/run_010/vae/config.json +38 -0
  39. multigen/sana 1.6/Baseline/training_args.json +46 -0
  40. multigen/sana 1.6/RAD/checkpoint-10000/transformer/config.json +26 -0
  41. multigen/sana 1.6/RAD/model_index.json +24 -0
  42. multigen/sana 1.6/RAD/scheduler/scheduler_config.json +40 -0
  43. multigen/sana 1.6/RAD/text_encoder/config.json +68 -0
  44. multigen/sana 1.6/RAD/tokenizer/chat_template.jinja +4 -0
  45. multigen/sana 1.6/RAD/tokenizer/tokenizer_config.json +20 -0
  46. multigen/sana 1.6/RAD/training.log +303 -0
  47. multigen/sana 1.6/RAD/training_args.json +55 -0
  48. multigen/sana 1.6/RAD/training_summary.json +7 -0
  49. multigen/sana 1.6/RAD/transformer/config.json +26 -0
  50. multigen/sana 1.6/RAD/vae/config.json +92 -0
multigen/pixart_alpha/run_008/checkpoint-10000/transformer/config.json ADDED
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multigen/pixart_alpha/run_008/checkpoint-6000/transformer/config.json ADDED
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multigen/pixart_alpha/run_008/checkpoint-8000/transformer/config.json ADDED
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multigen/pixart_alpha/run_008/training.log ADDED
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+ Training started: 2026-08-17 04:45:24
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [04:45:24] Run directory: RESULTS/multigen/run_023
6
+ [04:45:24] Loading PixArt-Sigma components ...
7
+ [04:45:50] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [04:45:50] Building dataset ...
9
+ [04:45:55]
10
+ [04:45:55] ================================================================
11
+ [04:45:55] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
12
+ [04:45:55] Output dir = RESULTS/multigen/run_023
13
+ [04:45:55] Num examples = 499995
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+ [04:45:55] Num epochs = 1
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+ [04:45:55] Batch/device = 8
16
+ [04:45:55] Grad accum = 1
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+ [04:45:55] Effective BS = 8
18
+ [04:45:55] Total optim steps = 10000
19
+ [04:45:55] LR = 2e-05
20
+ [04:45:55] Precision = bf16
21
+ [04:45:55] Resolution = 512x512
22
+ [04:45:55] Max seq length = 300
23
+ [04:45:55] ================================================================
24
+ [04:45:55]
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+ 50 | 0 | 0.084754 | 0.084754 | 2.00e-06 | 0:01:48 | 6:00:33
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+ 100 | 0 | 0.131576 | 0.108165 | 4.00e-06 | 0:02:50 | 4:41:50
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+ 250 | 0 | 0.128695 | 0.099838 | 1.00e-05 | 0:05:58 | 3:52:49
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+ 650 | 0 | 0.110005 | 0.122253 | 2.00e-05 | 0:14:18 | 3:25:43
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+ 700 | 0 | 0.185645 | 0.126781 | 2.00e-05 | 0:15:20 | 3:23:49
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+ 800 | 0 | 0.034835 | 0.114999 | 2.00e-05 | 0:17:25 | 3:20:20
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+ 850 | 0 | 0.177984 | 0.118704 | 1.99e-05 | 0:18:27 | 3:18:42
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+ 950 | 0 | 0.083848 | 0.122480 | 1.99e-05 | 0:20:32 | 3:15:37
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+ 1000 | 0 | 0.168627 | 0.124788 | 1.99e-05 | 0:21:34 | 3:14:10
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+ [05:07:14] Generating 16 validation images ...
46
+ [05:07:35] Validation step 1000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0001000.png
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+ 1050 | 0 | 0.126359 | 0.124862 | 1.98e-05 | 0:23:18 | 3:18:39
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55
+ 1450 | 0 | 0.041351 | 0.121879 | 1.95e-05 | 0:31:36 | 3:06:24
56
+ 1500 | 0 | 0.069158 | 0.120122 | 1.95e-05 | 0:32:39 | 3:05:01
57
+ 1550 | 0 | 0.111550 | 0.119845 | 1.94e-05 | 0:33:41 | 3:03:40
58
+ 1600 | 0 | 0.088557 | 0.118868 | 1.93e-05 | 0:34:43 | 3:02:19
59
+ 1650 | 0 | 0.048268 | 0.116728 | 1.93e-05 | 0:35:46 | 3:01:00
60
+ 1700 | 0 | 0.181191 | 0.118624 | 1.92e-05 | 0:36:48 | 2:59:42
61
+ 1750 | 0 | 0.055260 | 0.116814 | 1.92e-05 | 0:37:50 | 2:58:24
62
+ 1800 | 0 | 0.106182 | 0.116519 | 1.91e-05 | 0:38:53 | 2:57:08
63
+ 1850 | 0 | 0.110935 | 0.116368 | 1.90e-05 | 0:39:55 | 2:55:52
64
+ 1900 | 0 | 0.121553 | 0.116504 | 1.89e-05 | 0:40:57 | 2:54:37
65
+ 1950 | 0 | 0.091342 | 0.115859 | 1.89e-05 | 0:41:59 | 2:53:22
66
+ 2000 | 0 | 0.224980 | 0.118587 | 1.88e-05 | 0:43:02 | 2:52:08
67
+ [05:28:33] Saved checkpoint -> RESULTS/multigen/run_023/checkpoint-2000
68
+ [05:28:48] Generating 16 validation images ...
69
+ [05:29:09] Validation step 2000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0002000.png
70
+ 2050 | 0 | 0.337545 | 0.123927 | 1.87e-05 | 0:44:49 | 2:53:51
71
+ 2100 | 0 | 0.085169 | 0.123005 | 1.86e-05 | 0:45:51 | 2:52:32
72
+ 2150 | 0 | 0.082566 | 0.122064 | 1.85e-05 | 0:46:54 | 2:51:15
73
+ 2200 | 0 | 0.147065 | 0.122632 | 1.85e-05 | 0:47:56 | 2:49:58
74
+ 2250 | 0 | 0.026063 | 0.120486 | 1.84e-05 | 0:48:58 | 2:48:42
75
+ 2300 | 0 | 0.068518 | 0.119357 | 1.83e-05 | 0:50:01 | 2:47:27
76
+ 2350 | 0 | 0.195747 | 0.120982 | 1.82e-05 | 0:51:03 | 2:46:12
77
+ 2400 | 0 | 0.086240 | 0.120258 | 1.81e-05 | 0:52:05 | 2:44:58
78
+ 2450 | 0 | 0.135737 | 0.120574 | 1.80e-05 | 0:53:08 | 2:43:44
79
+ 2500 | 0 | 0.071209 | 0.119587 | 1.79e-05 | 0:54:10 | 2:42:31
80
+ 2550 | 0 | 0.102367 | 0.119249 | 1.78e-05 | 0:55:12 | 2:41:18
81
+ 2600 | 0 | 0.132404 | 0.119502 | 1.77e-05 | 0:56:14 | 2:40:05
82
+ 2650 | 0 | 0.074371 | 0.118651 | 1.76e-05 | 0:57:17 | 2:38:53
83
+ 2700 | 0 | 0.090970 | 0.118138 | 1.75e-05 | 0:58:19 | 2:37:41
84
+ 2750 | 0 | 0.043934 | 0.116789 | 1.74e-05 | 0:59:21 | 2:36:29
85
+ 2800 | 0 | 0.123412 | 0.116907 | 1.72e-05 | 1:00:23 | 2:35:18
86
+ 2850 | 0 | 0.085247 | 0.116352 | 1.71e-05 | 1:01:26 | 2:34:07
87
+ 2900 | 0 | 0.088875 | 0.115878 | 1.70e-05 | 1:02:28 | 2:32:56
88
+ 2950 | 0 | 0.208827 | 0.117453 | 1.69e-05 | 1:03:30 | 2:31:46
89
+ 3000 | 0 | 0.128373 | 0.117635 | 1.68e-05 | 1:04:32 | 2:30:36
90
+ [05:50:02] Generating 16 validation images ...
91
+ [05:50:23] Validation step 3000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0003000.png
92
+ 3050 | 0 | 0.075688 | 0.116948 | 1.67e-05 | 1:06:04 | 2:30:32
93
+ 3100 | 0 | 0.114632 | 0.116910 | 1.65e-05 | 1:07:06 | 2:29:21
94
+ 3150 | 0 | 0.088825 | 0.116464 | 1.64e-05 | 1:08:08 | 2:28:10
95
+ 3200 | 0 | 0.078097 | 0.115865 | 1.63e-05 | 1:09:10 | 2:27:00
96
+ 3250 | 0 | 0.087919 | 0.115435 | 1.61e-05 | 1:10:12 | 2:25:49
97
+ 3300 | 0 | 0.127777 | 0.115622 | 1.60e-05 | 1:11:15 | 2:24:39
98
+ 3350 | 0 | 0.182494 | 0.116620 | 1.59e-05 | 1:12:17 | 2:23:30
99
+ 3400 | 0 | 0.131453 | 0.116838 | 1.57e-05 | 1:13:19 | 2:22:20
100
+ 3450 | 0 | 0.154893 | 0.117390 | 1.56e-05 | 1:14:21 | 2:21:11
101
+ 3500 | 0 | 0.046018 | 0.116370 | 1.55e-05 | 1:15:24 | 2:20:02
102
+ 3550 | 0 | 0.097608 | 0.116106 | 1.53e-05 | 1:16:26 | 2:18:53
103
+ 3600 | 0 | 0.124075 | 0.116217 | 1.52e-05 | 1:17:28 | 2:17:44
104
+ 3650 | 0 | 0.169451 | 0.116946 | 1.50e-05 | 1:18:30 | 2:16:35
105
+ 3700 | 0 | 0.056241 | 0.116125 | 1.49e-05 | 1:19:33 | 2:15:27
106
+ 3750 | 0 | 0.096345 | 0.115862 | 1.48e-05 | 1:20:35 | 2:14:19
107
+ 3800 | 0 | 0.115155 | 0.115852 | 1.46e-05 | 1:21:37 | 2:13:10
108
+ 3850 | 0 | 0.047512 | 0.114965 | 1.45e-05 | 1:22:39 | 2:12:03
109
+ 3900 | 0 | 0.085527 | 0.114587 | 1.43e-05 | 1:23:42 | 2:10:55
110
+ 3950 | 0 | 0.096761 | 0.114362 | 1.42e-05 | 1:24:44 | 2:09:47
111
+ 4000 | 0 | 0.133436 | 0.114600 | 1.40e-05 | 1:25:46 | 2:08:40
112
+ [06:11:17] Saved checkpoint -> RESULTS/multigen/run_023/checkpoint-4000
113
+ [06:11:21] Generating 16 validation images ...
114
+ [06:11:42] Validation step 4000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0004000.png
115
+ 4050 | 0 | 0.093691 | 0.114342 | 1.39e-05 | 1:27:26 | 2:08:28
116
+ 4100 | 0 | 0.143530 | 0.114698 | 1.37e-05 | 1:28:28 | 2:07:19
117
+ 4150 | 0 | 0.145627 | 0.115071 | 1.36e-05 | 1:29:31 | 2:06:11
118
+ 4200 | 0 | 0.134454 | 0.115301 | 1.34e-05 | 1:30:33 | 2:05:03
119
+ 4250 | 0 | 0.076896 | 0.114850 | 1.32e-05 | 1:31:35 | 2:03:55
120
+ 4300 | 0 | 0.159027 | 0.115363 | 1.31e-05 | 1:32:37 | 2:02:47
121
+ 4350 | 0 | 0.013840 | 0.114196 | 1.29e-05 | 1:33:40 | 2:01:39
122
+ 4400 | 0 | 0.144698 | 0.114543 | 1.28e-05 | 1:34:42 | 2:00:32
123
+ 4450 | 0 | 0.091083 | 0.114279 | 1.26e-05 | 1:35:44 | 1:59:24
124
+ 4500 | 0 | 0.252413 | 0.115814 | 1.25e-05 | 1:36:46 | 1:58:17
125
+ 4550 | 0 | 0.236661 | 0.117142 | 1.23e-05 | 1:37:49 | 1:57:09
126
+ 4600 | 0 | 0.128192 | 0.117262 | 1.21e-05 | 1:38:51 | 1:56:02
127
+ 4650 | 0 | 0.112913 | 0.117216 | 1.20e-05 | 1:39:53 | 1:54:55
128
+ 4700 | 0 | 0.168505 | 0.117761 | 1.18e-05 | 1:40:55 | 1:53:48
129
+ 4750 | 0 | 0.056996 | 0.117122 | 1.16e-05 | 1:41:58 | 1:52:42
130
+ 4800 | 0 | 0.213225 | 0.118123 | 1.15e-05 | 1:43:00 | 1:51:35
131
+ 4850 | 0 | 0.111594 | 0.118055 | 1.13e-05 | 1:44:02 | 1:50:28
132
+ 4900 | 0 | 0.075209 | 0.117618 | 1.12e-05 | 1:45:04 | 1:49:22
133
+ 4950 | 0 | 0.204433 | 0.118495 | 1.10e-05 | 1:46:07 | 1:48:15
134
+ 5000 | 0 | 0.022291 | 0.117533 | 1.08e-05 | 1:47:09 | 1:47:09
135
+ [06:32:35] Generating 16 validation images ...
136
+ [06:32:56] Validation step 5000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0005000.png
137
+ 5050 | 0 | 0.077507 | 0.117461 | 1.07e-05 | 1:48:38 | 1:46:29
138
+ 5100 | 0 | 0.271839 | 0.118863 | 1.05e-05 | 1:49:40 | 1:45:22
139
+ 5150 | 0 | 0.091943 | 0.119280 | 1.03e-05 | 1:50:43 | 1:44:16
140
+ 5200 | 0 | 0.114594 | 0.119387 | 1.02e-05 | 1:51:45 | 1:43:09
141
+ 5250 | 0 | 0.015564 | 0.118256 | 1.00e-05 | 1:52:47 | 1:42:03
142
+ 5300 | 0 | 0.065616 | 0.118281 | 9.83e-06 | 1:53:49 | 1:40:56
143
+ 5350 | 0 | 0.044285 | 0.117616 | 9.67e-06 | 1:54:52 | 1:39:50
144
+ 5400 | 0 | 0.216299 | 0.118549 | 9.50e-06 | 1:55:54 | 1:38:44
145
+ 5450 | 0 | 0.041447 | 0.118161 | 9.34e-06 | 1:56:56 | 1:37:37
146
+ 5500 | 0 | 0.085068 | 0.117806 | 9.17e-06 | 1:57:58 | 1:36:31
147
+ 5550 | 0 | 0.063719 | 0.115576 | 9.01e-06 | 1:59:01 | 1:35:25
148
+ 5600 | 0 | 0.122228 | 0.114841 | 8.85e-06 | 2:00:03 | 1:34:19
149
+ 5650 | 0 | 0.132699 | 0.115068 | 8.68e-06 | 2:01:05 | 1:33:14
150
+ 5700 | 0 | 0.085562 | 0.114067 | 8.52e-06 | 2:02:08 | 1:32:08
151
+ 5750 | 0 | 0.089254 | 0.114658 | 8.35e-06 | 2:03:10 | 1:31:02
152
+ 5800 | 0 | 0.097254 | 0.115282 | 8.19e-06 | 2:04:12 | 1:29:56
153
+ 5850 | 0 | 0.063546 | 0.114138 | 8.03e-06 | 2:05:14 | 1:28:50
154
+ 5900 | 0 | 0.078007 | 0.112665 | 7.87e-06 | 2:06:16 | 1:27:45
155
+ 5950 | 0 | 0.119793 | 0.113024 | 7.71e-06 | 2:07:19 | 1:26:39
156
+ 6000 | 0 | 0.121834 | 0.112556 | 7.55e-06 | 2:08:21 | 1:25:34
157
+ [06:53:51] Saved checkpoint -> RESULTS/multigen/run_023/checkpoint-6000
158
+ [06:54:00] Generating 16 validation images ...
159
+ [06:54:21] Validation step 6000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0006000.png
160
+ 6050 | 0 | 0.264587 | 0.113938 | 7.39e-06 | 2:10:05 | 1:24:55
161
+ 6100 | 0 | 0.096556 | 0.113288 | 7.23e-06 | 2:11:07 | 1:23:49
162
+ 6150 | 0 | 0.122426 | 0.112110 | 7.07e-06 | 2:12:09 | 1:22:43
163
+ 6200 | 0 | 0.082548 | 0.111621 | 6.91e-06 | 2:13:11 | 1:21:38
164
+ 6250 | 0 | 0.092406 | 0.111959 | 6.75e-06 | 2:14:13 | 1:20:32
165
+ 6300 | 0 | 0.087585 | 0.111082 | 6.60e-06 | 2:15:16 | 1:19:26
166
+ 6350 | 0 | 0.037486 | 0.110959 | 6.44e-06 | 2:16:18 | 1:18:21
167
+ 6400 | 0 | 0.208037 | 0.112498 | 6.29e-06 | 2:17:20 | 1:17:15
168
+ 6450 | 0 | 0.048312 | 0.112568 | 6.14e-06 | 2:18:23 | 1:16:09
169
+ 6500 | 0 | 0.124461 | 0.113121 | 5.98e-06 | 2:19:25 | 1:15:04
170
+ 6550 | 0 | 0.073446 | 0.112740 | 5.83e-06 | 2:20:27 | 1:13:58
171
+ 6600 | 0 | 0.187207 | 0.113726 | 5.68e-06 | 2:21:29 | 1:12:53
172
+ 6650 | 0 | 0.138152 | 0.114625 | 5.53e-06 | 2:22:32 | 1:11:48
173
+ 6700 | 0 | 0.114149 | 0.113955 | 5.39e-06 | 2:23:34 | 1:10:42
174
+ 6750 | 0 | 0.075601 | 0.114158 | 5.24e-06 | 2:24:36 | 1:09:37
175
+ 6800 | 0 | 0.134158 | 0.114438 | 5.10e-06 | 2:25:38 | 1:08:32
176
+ 6850 | 0 | 0.125921 | 0.114588 | 4.95e-06 | 2:26:41 | 1:07:27
177
+ 6900 | 0 | 0.166625 | 0.115039 | 4.81e-06 | 2:27:43 | 1:06:22
178
+ 6950 | 0 | 0.166854 | 0.115794 | 4.67e-06 | 2:28:45 | 1:05:17
179
+ 7000 | 0 | 0.105680 | 0.114601 | 4.53e-06 | 2:29:47 | 1:04:11
180
+ [07:15:22] Generating 16 validation images ...
181
+ [07:15:43] Validation step 7000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0007000.png
182
+ 7050 | 0 | 0.117319 | 0.112399 | 4.39e-06 | 2:31:24 | 1:03:21
183
+ 7100 | 0 | 0.145478 | 0.113002 | 4.26e-06 | 2:32:26 | 1:02:15
184
+ 7150 | 0 | 0.083607 | 0.113012 | 4.12e-06 | 2:33:28 | 1:01:10
185
+ 7200 | 0 | 0.214913 | 0.113691 | 3.99e-06 | 2:34:30 | 1:00:05
186
+ 7250 | 0 | 0.044895 | 0.113879 | 3.86e-06 | 2:35:32 | 0:58:59
187
+ 7300 | 0 | 0.093473 | 0.114128 | 3.73e-06 | 2:36:34 | 0:57:54
188
+ 7350 | 0 | 0.073971 | 0.112911 | 3.60e-06 | 2:37:36 | 0:56:49
189
+ 7400 | 0 | 0.173379 | 0.113782 | 3.47e-06 | 2:38:39 | 0:55:44
190
+ 7450 | 0 | 0.076234 | 0.113187 | 3.35e-06 | 2:39:41 | 0:54:39
191
+ 7500 | 0 | 0.132754 | 0.113802 | 3.23e-06 | 2:40:43 | 0:53:34
192
+ 7550 | 0 | 0.120360 | 0.113982 | 3.11e-06 | 2:41:45 | 0:52:29
193
+ 7600 | 0 | 0.121482 | 0.113873 | 2.99e-06 | 2:42:47 | 0:51:24
194
+ 7650 | 0 | 0.162216 | 0.114752 | 2.87e-06 | 2:43:50 | 0:50:19
195
+ 7700 | 0 | 0.176564 | 0.115608 | 2.76e-06 | 2:44:52 | 0:49:14
196
+ 7750 | 0 | 0.118773 | 0.116356 | 2.64e-06 | 2:45:54 | 0:48:10
197
+ 7800 | 0 | 0.203173 | 0.117154 | 2.53e-06 | 2:46:56 | 0:47:05
198
+ 7850 | 0 | 0.118690 | 0.117488 | 2.42e-06 | 2:47:59 | 0:46:00
199
+ 7900 | 0 | 0.097100 | 0.117570 | 2.32e-06 | 2:49:01 | 0:44:55
200
+ 7950 | 0 | 0.080295 | 0.116285 | 2.21e-06 | 2:50:03 | 0:43:51
201
+ 8000 | 0 | 0.119221 | 0.116193 | 2.11e-06 | 2:51:05 | 0:42:46
202
+ [07:36:35] Saved checkpoint -> RESULTS/multigen/run_023/checkpoint-8000
203
+ [07:36:38] Generating 16 validation images ...
204
+ [07:36:59] Validation step 8000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0008000.png
205
+ 8050 | 0 | 0.133538 | 0.116772 | 2.01e-06 | 2:52:42 | 0:41:50
206
+ 8100 | 0 | 0.053682 | 0.116162 | 1.91e-06 | 2:53:44 | 0:40:45
207
+ 8150 | 0 | 0.165658 | 0.116931 | 1.81e-06 | 2:54:46 | 0:39:40
208
+ 8200 | 0 | 0.109327 | 0.117243 | 1.72e-06 | 2:55:49 | 0:38:35
209
+ 8250 | 0 | 0.057733 | 0.116941 | 1.63e-06 | 2:56:51 | 0:37:30
210
+ 8300 | 0 | 0.089641 | 0.116560 | 1.54e-06 | 2:57:53 | 0:36:26
211
+ 8350 | 0 | 0.084368 | 0.115579 | 1.45e-06 | 2:58:56 | 0:35:21
212
+ 8400 | 0 | 0.059762 | 0.114862 | 1.37e-06 | 2:59:58 | 0:34:16
213
+ 8450 | 0 | 0.110482 | 0.114418 | 1.29e-06 | 3:01:00 | 0:33:12
214
+ 8500 | 0 | 0.126568 | 0.115223 | 1.21e-06 | 3:02:02 | 0:32:07
215
+ 8550 | 0 | 0.083427 | 0.115081 | 1.13e-06 | 3:03:05 | 0:31:02
216
+ 8600 | 0 | 0.264860 | 0.116489 | 1.05e-06 | 3:04:07 | 0:29:58
217
+ 8650 | 0 | 0.060639 | 0.115401 | 9.80e-07 | 3:05:09 | 0:28:53
218
+ 8700 | 0 | 0.122312 | 0.116062 | 9.10e-07 | 3:06:11 | 0:27:49
219
+ 8750 | 0 | 0.038179 | 0.115480 | 8.42e-07 | 3:07:14 | 0:26:44
220
+ 8800 | 0 | 0.058481 | 0.114913 | 7.77e-07 | 3:08:16 | 0:25:40
221
+ 8850 | 0 | 0.144089 | 0.115879 | 7.14e-07 | 3:09:18 | 0:24:35
222
+ 8900 | 0 | 0.092851 | 0.115952 | 6.54e-07 | 3:10:20 | 0:23:31
223
+ 8950 | 0 | 0.006036 | 0.115045 | 5.97e-07 | 3:11:23 | 0:22:27
224
+ 9000 | 0 | 0.105030 | 0.114761 | 5.42e-07 | 3:12:25 | 0:21:22
225
+ [07:58:04] Generating 16 validation images ...
226
+ [07:58:26] Validation step 9000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0009000.png
227
+ 9050 | 0 | 0.164543 | 0.115469 | 4.89e-07 | 3:14:07 | 0:20:22
228
+ 9100 | 0 | 0.092069 | 0.114955 | 4.40e-07 | 3:15:09 | 0:19:18
229
+ 9150 | 0 | 0.103805 | 0.114537 | 3.92e-07 | 3:16:11 | 0:18:13
230
+ 9200 | 0 | 0.163404 | 0.114826 | 3.48e-07 | 3:17:13 | 0:17:09
231
+ 9250 | 0 | 0.158784 | 0.115645 | 3.06e-07 | 3:18:16 | 0:16:04
232
+ 9300 | 0 | 0.151754 | 0.115572 | 2.67e-07 | 3:19:18 | 0:15:00
233
+ 9350 | 0 | 0.134615 | 0.116780 | 2.30e-07 | 3:20:20 | 0:13:55
234
+ 9400 | 0 | 0.123119 | 0.116564 | 1.96e-07 | 3:21:22 | 0:12:51
235
+ 9450 | 0 | 0.060132 | 0.116255 | 1.65e-07 | 3:22:24 | 0:11:46
236
+ 9500 | 0 | 0.031877 | 0.114049 | 1.36e-07 | 3:23:26 | 0:10:42
237
+ 9550 | 0 | 0.018957 | 0.111872 | 1.11e-07 | 3:24:29 | 0:09:38
238
+ 9600 | 0 | 0.142664 | 0.112017 | 8.74e-08 | 3:25:31 | 0:08:33
239
+ 9650 | 0 | 0.094587 | 0.111834 | 6.69e-08 | 3:26:33 | 0:07:29
240
+ 9700 | 0 | 0.117985 | 0.111329 | 4.92e-08 | 3:27:35 | 0:06:25
241
+ 9750 | 0 | 0.064475 | 0.111403 | 3.42e-08 | 3:28:37 | 0:05:20
242
+ 9800 | 0 | 0.092495 | 0.110196 | 2.19e-08 | 3:29:39 | 0:04:16
243
+ 9850 | 0 | 0.089012 | 0.109970 | 1.23e-08 | 3:30:41 | 0:03:12
244
+ 9900 | 0 | 0.083910 | 0.110057 | 5.47e-09 | 3:31:44 | 0:02:08
245
+ 9950 | 0 | 0.054249 | 0.108555 | 1.37e-09 | 3:32:46 | 0:01:04
246
+ 10000 | 0 | 0.146832 | 0.109801 | 0.00e+00 | 3:33:48 | 0:00:00
247
+ [08:19:18] Saved checkpoint -> RESULTS/multigen/run_023/checkpoint-10000
248
+ [08:19:50] Generating 16 validation images ...
249
+ [08:20:11] Validation step 10000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0010000.png
250
+ [08:20:12] --- Epoch 0 | Steps: 10000 | Avg Loss: 0.112481 ---
251
+ [08:20:12] Saving final model ...
252
+ [08:20:27] Pipeline saved -> RESULTS/multigen/run_023
253
+ [08:20:27] Generating final validation collage ...
254
+ [08:20:27] Generating 16 validation images ...
255
+ [08:20:47] Validation step 10000: 16 images -> RESULTS/multigen/run_023/validation/collage_step_0010000.png
256
+ [08:20:48]
257
+ [08:20:48] ============================================================
258
+ [08:20:48] TRAINING SUMMARY
259
+ [08:20:48] ============================================================
260
+ [08:20:48] Total steps : 200
261
+ [08:20:48] Final loss : 0.146832
262
+ [08:20:48] Avg last 100 : 0.109801
263
+ [08:20:48] Min loss : 0.006036
264
+ [08:20:48] Total time : 3:35:24
265
+ [08:20:48] Output : RESULTS/multigen/run_023
266
+ [08:20:48] ============================================================
multigen/pixart_alpha/run_008/training_args.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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/multigen",
8
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+ Training started: 2026-08-17 07:55:46
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+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [07:55:46] Run directory: RESULTS/multigen/run_024
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+ [07:55:46] PixArt-Sigma AGD+TAM+SAD v3 | temp=0.5 curriculum=5000 max_delta=300
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+ [07:55:46] TAM: enabled=True alpha=0.9 factor=0.5
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+ [07:55:46] SAD: enabled=True temp=0.5
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+ [07:55:46] Loading PixArt-Sigma components ...
10
+ [07:55:46] Transformer : PixArt-alpha/PixArt-Sigma-XL-2-512-MS
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+ [07:55:46] Base (T5/VAE): PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
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+ [07:56:11] Transformer params: 610,856,096 total, 610,856,096 trainable
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+ [07:56:11] Building dataset ...
14
+ [07:56:11] TAM initialised: 499995 samples tracked.
15
+ [07:56:16]
16
+ [07:56:16] ================================================================
17
+ [07:56:16] Transformer = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
18
+ [07:56:16] Base (T5/VAE) = PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
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+ [07:56:16] Output dir = RESULTS/multigen/run_024
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+ [07:56:16] Num examples = 499995
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+ [07:56:16] Num epochs = 1
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+ [07:56:16] Batch/device = 8
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+ [07:56:16] Grad accum = 1
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+ [07:56:16] Effective BS = 8
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+ [07:56:16] Total optim steps = 10000
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+ [07:56:16] LR = 2e-05
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+ [07:56:16] Precision = bf16
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+ [07:56:16] Resolution = 512x512
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+ [07:56:16] Max seq length = 300 [Sigma: 300 vs Alpha: 120]
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+ [07:56:16] --- AGD ---
31
+ [07:56:16] Temperature = 0.5
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+ [07:56:16] Curriculum steps = 5000
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+ [07:56:16] Max timestep delta = 300
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+ [07:56:16] --- TAM --- enabled=True
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+ [07:56:16] TAM alpha = 0.9
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+ [07:56:16] TAM factor = 0.5
37
+ [07:56:16] --- SAD --- enabled=True
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+ [07:56:16] SAD temperature = 0.5
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+ [07:56:16] ================================================================
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+ [07:56:16]
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+ 50 | 0 | 0.053450 | 0.053450 | 0.055664 | 0.057807 | 0.002143 | 1.0000 | -0.0000 | 3.00 | 2.00e-06 | 0:01:53 | 6:17:53
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+ 100 | 0 | 0.088956 | 0.071203 | 0.089404 | 0.086201 | -0.003203 | 1.0000 | -0.0000 | 6.00 | 4.00e-06 | 0:03:14 | 5:20:06
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+ 150 | 0 | 0.058980 | 0.067129 | 0.067428 | 0.061625 | -0.005803 | 1.0000 | -0.0000 | 9.00 | 6.00e-06 | 0:04:34 | 5:00:02
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+ 200 | 0 | 0.180802 | 0.095547 | 0.184370 | 0.176190 | -0.008179 | 1.0000 | -0.0000 | 12.00 | 8.00e-06 | 0:05:54 | 4:49:15
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+ 250 | 0 | 0.066100 | 0.089658 | 0.072087 | 0.067742 | -0.004345 | 1.0000 | -0.0000 | 15.00 | 1.00e-05 | 0:07:14 | 4:42:13
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+ 300 | 0 | 0.146313 | 0.099100 | 0.146307 | 0.132598 | -0.013709 | 1.0000 | -0.0000 | 18.00 | 1.20e-05 | 0:08:34 | 4:37:20
47
+ 350 | 0 | 0.046540 | 0.091591 | 0.053932 | 0.046974 | -0.006958 | 1.0000 | -0.0000 | 21.00 | 1.40e-05 | 0:09:54 | 4:33:13
48
+ 400 | 0 | 0.066330 | 0.088434 | 0.076636 | 0.068719 | -0.007916 | 1.0000 | -0.0000 | 24.00 | 1.60e-05 | 0:11:14 | 4:29:56
49
+ 450 | 0 | 0.043586 | 0.083451 | 0.049233 | 0.043684 | -0.005549 | 1.0000 | -0.0000 | 27.00 | 1.80e-05 | 0:12:35 | 4:27:02
50
+ 500 | 0 | 0.028767 | 0.077982 | 0.034325 | 0.030839 | -0.003486 | 1.0000 | -0.0000 | 30.00 | 2.00e-05 | 0:13:55 | 4:24:25
51
+ [08:09:41] [TAM @ 500] mean=-0.0000 std=0.0006 max=0.0076 visits=4000
52
+ 550 | 0 | 0.150477 | 0.084573 | 0.283562 | 0.149380 | -0.134183 | 1.0000 | -0.0000 | 33.00 | 2.00e-05 | 0:15:15 | 4:22:17
53
+ 600 | 0 | 0.071778 | 0.083507 | 0.087099 | 0.070246 | -0.016852 | 1.0000 | -0.0000 | 36.00 | 2.00e-05 | 0:16:37 | 4:20:22
54
+ 650 | 0 | 0.036644 | 0.079902 | 0.044911 | 0.036822 | -0.008089 | 1.0000 | -0.0000 | 39.00 | 2.00e-05 | 0:17:58 | 4:18:35
55
+ 700 | 0 | 0.017801 | 0.075466 | 0.027077 | 0.019577 | -0.007500 | 1.0000 | -0.0000 | 42.00 | 2.00e-05 | 0:19:18 | 4:16:28
56
+ 750 | 0 | 0.055890 | 0.074161 | 0.049758 | 0.054963 | 0.005205 | 1.0000 | -0.0000 | 45.00 | 2.00e-05 | 0:20:37 | 4:14:26
57
+ 800 | 0 | 0.057137 | 0.073097 | 0.074872 | 0.056864 | -0.018008 | 1.0000 | -0.0000 | 48.00 | 2.00e-05 | 0:21:57 | 4:12:31
58
+ 850 | 0 | 0.051444 | 0.071823 | 0.042676 | 0.051164 | 0.008488 | 1.0000 | -0.0000 | 51.00 | 2.00e-05 | 0:23:17 | 4:10:40
59
+ 900 | 0 | 0.045641 | 0.070369 | 0.068274 | 0.048261 | -0.020013 | 1.0000 | -0.0000 | 54.00 | 2.00e-05 | 0:24:36 | 4:08:53
60
+ 950 | 0 | 0.070585 | 0.070380 | 0.086532 | 0.071123 | -0.015409 | 1.0000 | -0.0000 | 57.00 | 2.00e-05 | 0:25:56 | 4:07:10
61
+ 1000 | 0 | 0.055900 | 0.069656 | 0.081799 | 0.056487 | -0.025312 | 1.0000 | -0.0000 | 60.00 | 2.00e-05 | 0:27:16 | 4:05:26
62
+ [08:23:02] [TAM @ 1000] mean=-0.0000 std=0.0010 max=0.0133 visits=8000
63
+ [08:23:04] Generating 16 validation images ...
64
+ [08:23:24] Validation step 1000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0001000.png
65
+ 1050 | 0 | 0.070106 | 0.069677 | 0.090931 | 0.070182 | -0.020749 | 1.0000 | -0.0000 | 63.00 | 2.00e-05 | 0:28:58 | 4:07:00
66
+ 1100 | 0 | 0.029323 | 0.067843 | 0.051182 | 0.031095 | -0.020087 | 1.0000 | -0.0000 | 66.00 | 2.00e-05 | 0:30:18 | 4:05:12
67
+ 1150 | 0 | 0.059730 | 0.067490 | 0.108668 | 0.068452 | -0.040216 | 1.0000 | -0.0000 | 69.00 | 2.00e-05 | 0:31:38 | 4:03:26
68
+ 1200 | 0 | 0.107489 | 0.069157 | 0.144239 | 0.110355 | -0.033883 | 1.0000 | -0.0000 | 72.00 | 2.00e-05 | 0:32:57 | 4:01:41
69
+ 1250 | 0 | 0.078237 | 0.069520 | 0.121721 | 0.078153 | -0.043568 | 1.0000 | -0.0000 | 75.00 | 2.00e-05 | 0:34:16 | 3:59:58
70
+ 1300 | 0 | 0.106875 | 0.070957 | 0.259751 | 0.128839 | -0.130911 | 1.0000 | -0.0000 | 78.00 | 2.00e-05 | 0:35:36 | 3:58:18
71
+ 1350 | 0 | 0.070907 | 0.070955 | 0.222976 | 0.098046 | -0.124930 | 1.0000 | -0.0000 | 81.00 | 2.00e-05 | 0:36:55 | 3:56:38
72
+ 1400 | 0 | 0.049626 | 0.070193 | 0.087688 | 0.051496 | -0.036192 | 1.0000 | -0.0001 | 84.00 | 2.00e-05 | 0:38:15 | 3:55:01
73
+ 1450 | 0 | 0.007396 | 0.068028 | 0.018549 | 0.008619 | -0.009929 | 1.0000 | -0.0001 | 87.00 | 2.00e-05 | 0:39:34 | 3:53:24
74
+ 1500 | 0 | 0.084575 | 0.068579 | 0.142427 | 0.083632 | -0.058795 | 1.0000 | -0.0001 | 90.00 | 2.00e-05 | 0:40:54 | 3:51:47
75
+ [08:36:40] [TAM @ 1500] mean=-0.0001 std=0.0014 max=0.0133 visits=12000
76
+ 1550 | 0 | 0.032864 | 0.067427 | 0.067618 | 0.033997 | -0.033621 | 1.0000 | -0.0001 | 93.00 | 2.00e-05 | 0:42:13 | 3:50:13
77
+ 1600 | 0 | 0.006031 | 0.065509 | 0.013653 | 0.005614 | -0.008039 | 1.0000 | -0.0001 | 96.00 | 2.00e-05 | 0:43:33 | 3:48:39
78
+ 1650 | 0 | 0.074820 | 0.065791 | 0.122170 | 0.077157 | -0.045013 | 1.0000 | -0.0001 | 99.00 | 2.00e-05 | 0:44:52 | 3:47:06
79
+ 1700 | 0 | 0.035951 | 0.064913 | 0.075872 | 0.037950 | -0.037921 | 1.0000 | -0.0001 | 102.00 | 2.00e-05 | 0:46:12 | 3:45:34
80
+ 1750 | 0 | 0.142292 | 0.067124 | 0.214366 | 0.145065 | -0.069301 | 1.0000 | -0.0001 | 105.00 | 2.00e-05 | 0:47:31 | 3:44:02
81
+ 1800 | 0 | 0.116193 | 0.068487 | 0.253485 | 0.128960 | -0.124525 | 1.0000 | -0.0001 | 108.00 | 2.00e-05 | 0:48:50 | 3:42:31
82
+ 1850 | 0 | 0.086937 | 0.068986 | 0.145096 | 0.086114 | -0.058983 | 1.0000 | -0.0001 | 111.00 | 2.00e-05 | 0:50:10 | 3:41:01
83
+ 1900 | 0 | 0.037229 | 0.068150 | 0.199518 | 0.066362 | -0.133156 | 1.0000 | -0.0001 | 114.00 | 2.00e-05 | 0:51:29 | 3:39:31
84
+ 1950 | 0 | 0.122077 | 0.069533 | 0.159783 | 0.125745 | -0.034038 | 1.0000 | -0.0001 | 117.00 | 2.00e-05 | 0:52:49 | 3:38:02
85
+ 2000 | 0 | 0.080043 | 0.069796 | 0.123518 | 0.082712 | -0.040806 | 1.0000 | -0.0001 | 120.00 | 2.00e-05 | 0:54:08 | 3:36:34
86
+ [08:49:54] [TAM @ 2000] mean=-0.0001 std=0.0017 max=0.0133 visits=16000
87
+ [08:50:01] Saved checkpoint -> RESULTS/multigen/run_024/checkpoint-2000
88
+ [08:50:01] Generating 16 validation images ...
89
+ [08:50:22] Validation step 2000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0002000.png
90
+ 2050 | 0 | 0.052863 | 0.069383 | 0.088734 | 0.055598 | -0.033136 | 1.0000 | -0.0001 | 123.00 | 2.00e-05 | 0:55:56 | 3:36:57
91
+ 2100 | 0 | 0.078802 | 0.069607 | 0.244451 | 0.099943 | -0.144508 | 1.0000 | -0.0001 | 126.00 | 2.00e-05 | 0:57:16 | 3:35:26
92
+ 2150 | 0 | 0.060716 | 0.069400 | 0.102633 | 0.061924 | -0.040708 | 1.0000 | -0.0001 | 129.00 | 2.00e-05 | 0:58:35 | 3:33:56
93
+ 2200 | 0 | 0.032415 | 0.068559 | 0.083529 | 0.034740 | -0.048789 | 1.0000 | -0.0001 | 132.00 | 2.00e-05 | 0:59:55 | 3:32:26
94
+ 2250 | 0 | 0.041993 | 0.067969 | 0.090782 | 0.043490 | -0.047292 | 1.0000 | -0.0001 | 135.00 | 2.00e-05 | 1:01:14 | 3:30:56
95
+ 2300 | 0 | 0.072495 | 0.068068 | 0.261773 | 0.095434 | -0.166339 | 1.0000 | -0.0001 | 138.00 | 2.00e-05 | 1:02:34 | 3:29:27
96
+ 2350 | 0 | 0.069235 | 0.068092 | 0.124350 | 0.068343 | -0.056007 | 1.0000 | -0.0001 | 141.00 | 2.00e-05 | 1:03:53 | 3:27:59
97
+ 2400 | 0 | 0.021320 | 0.067118 | 0.045888 | 0.023924 | -0.021964 | 1.0000 | -0.0001 | 144.00 | 2.00e-05 | 1:05:13 | 3:26:31
98
+ 2450 | 0 | 0.026112 | 0.066281 | 0.060113 | 0.028954 | -0.031159 | 1.0000 | -0.0001 | 147.00 | 2.00e-05 | 1:06:32 | 3:25:03
99
+ 2500 | 0 | 0.005807 | 0.065072 | 0.024206 | 0.006656 | -0.017550 | 1.0000 | -0.0001 | 150.00 | 2.00e-05 | 1:07:51 | 3:23:35
100
+ [09:03:38] [TAM @ 2500] mean=-0.0001 std=0.0020 max=0.0133 visits=20000
101
+ 2550 | 0 | 0.024157 | 0.064269 | 0.072993 | 0.027675 | -0.045319 | 1.0000 | -0.0001 | 153.00 | 2.00e-05 | 1:09:11 | 3:22:07
102
+ 2600 | 0 | 0.069824 | 0.064376 | 0.151985 | 0.069196 | -0.082789 | 1.0000 | -0.0001 | 156.00 | 2.00e-05 | 1:10:30 | 3:20:40
103
+ 2650 | 0 | 0.074403 | 0.064565 | 0.178389 | 0.078001 | -0.100388 | 1.0000 | -0.0002 | 159.00 | 2.00e-05 | 1:11:49 | 3:19:13
104
+ 2700 | 0 | 0.010715 | 0.063568 | 0.044504 | 0.011781 | -0.032723 | 1.0000 | -0.0002 | 162.00 | 2.00e-05 | 1:13:09 | 3:17:47
105
+ 2750 | 0 | 0.007406 | 0.062547 | 0.030987 | 0.008353 | -0.022634 | 1.0000 | -0.0002 | 165.00 | 2.00e-05 | 1:14:28 | 3:16:20
106
+ 2800 | 0 | 0.008077 | 0.061574 | 0.036696 | 0.008590 | -0.028107 | 1.0000 | -0.0002 | 168.00 | 2.00e-05 | 1:15:47 | 3:14:54
107
+ 2850 | 0 | 0.046313 | 0.061307 | 0.124619 | 0.044716 | -0.079903 | 1.0000 | -0.0002 | 171.00 | 2.00e-05 | 1:17:07 | 3:13:29
108
+ 2900 | 0 | 0.025102 | 0.060682 | 0.097358 | 0.024835 | -0.072524 | 1.0000 | -0.0002 | 174.00 | 2.00e-05 | 1:18:26 | 3:12:03
109
+ 2950 | 0 | 0.070134 | 0.060843 | 0.123155 | 0.070851 | -0.052303 | 1.0000 | -0.0002 | 177.00 | 2.00e-05 | 1:19:46 | 3:10:38
110
+ 3000 | 0 | 0.020511 | 0.060170 | 0.080031 | 0.022859 | -0.057172 | 1.0000 | -0.0002 | 180.00 | 2.00e-05 | 1:21:05 | 3:09:13
111
+ [09:16:51] [TAM @ 3000] mean=-0.0002 std=0.0023 max=0.0133 visits=24000
112
+ [09:16:52] Generating 16 validation images ...
113
+ [09:17:12] Validation step 3000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0003000.png
114
+ 3050 | 0 | 0.052749 | 0.060049 | 0.144934 | 0.061951 | -0.082983 | 1.0000 | -0.0002 | 183.00 | 2.00e-05 | 1:22:47 | 3:08:38
115
+ 3100 | 0 | 0.016316 | 0.059343 | 0.065424 | 0.018261 | -0.047163 | 1.0000 | -0.0002 | 186.00 | 2.00e-05 | 1:24:06 | 3:07:12
116
+ 3150 | 0 | 0.048521 | 0.059172 | 0.172882 | 0.051846 | -0.121035 | 1.0000 | -0.0002 | 189.00 | 2.00e-05 | 1:25:25 | 3:05:46
117
+ 3200 | 0 | 0.011529 | 0.058427 | 0.056917 | 0.012934 | -0.043983 | 1.0000 | -0.0002 | 192.00 | 2.00e-05 | 1:26:45 | 3:04:21
118
+ 3250 | 0 | 0.022730 | 0.057878 | 0.068203 | 0.025307 | -0.042896 | 1.0000 | -0.0002 | 195.00 | 2.00e-05 | 1:28:04 | 3:02:55
119
+ 3300 | 0 | 0.028517 | 0.057433 | 0.114485 | 0.030010 | -0.084475 | 1.0000 | -0.0002 | 198.00 | 2.00e-05 | 1:29:23 | 3:01:30
120
+ 3350 | 0 | 0.036158 | 0.057116 | 0.085751 | 0.038901 | -0.046850 | 1.0000 | -0.0002 | 201.00 | 2.00e-05 | 1:30:43 | 3:00:05
121
+ 3400 | 0 | 0.055277 | 0.057089 | 0.160476 | 0.062940 | -0.097536 | 1.0000 | -0.0002 | 204.00 | 2.00e-05 | 1:32:02 | 2:58:40
122
+ 3450 | 0 | 0.029396 | 0.056687 | 0.110540 | 0.032874 | -0.077665 | 1.0000 | -0.0002 | 207.00 | 2.00e-05 | 1:33:21 | 2:57:15
123
+ 3500 | 0 | 0.074218 | 0.056938 | 0.253137 | 0.077122 | -0.176016 | 1.0000 | -0.0002 | 210.00 | 2.00e-05 | 1:34:41 | 2:55:50
124
+ [09:30:27] [TAM @ 3500] mean=-0.0002 std=0.0026 max=0.0133 visits=28000
125
+ 3550 | 0 | 0.031339 | 0.056577 | 0.064374 | 0.031675 | -0.032699 | 1.0000 | -0.0003 | 213.00 | 2.00e-05 | 1:36:00 | 2:54:26
126
+ 3600 | 0 | 0.050265 | 0.056489 | 0.153640 | 0.053856 | -0.099783 | 1.0000 | -0.0003 | 216.00 | 2.00e-05 | 1:37:19 | 2:53:02
127
+ 3650 | 0 | 0.059654 | 0.056533 | 0.247472 | 0.074556 | -0.172916 | 1.0000 | -0.0003 | 219.00 | 2.00e-05 | 1:38:39 | 2:51:37
128
+ 3700 | 0 | 0.031943 | 0.056200 | 0.102023 | 0.036287 | -0.065736 | 1.0000 | -0.0003 | 222.00 | 2.00e-05 | 1:39:58 | 2:50:13
129
+ 3750 | 0 | 0.004838 | 0.055516 | 0.037599 | 0.005285 | -0.032314 | 1.0000 | -0.0003 | 225.00 | 2.00e-05 | 1:41:17 | 2:48:49
130
+ 3800 | 0 | 0.041715 | 0.055334 | 0.111198 | 0.044566 | -0.066632 | 1.0000 | -0.0003 | 228.00 | 2.00e-05 | 1:42:37 | 2:47:25
131
+ 3850 | 0 | 0.046808 | 0.055223 | 0.106608 | 0.050250 | -0.056357 | 1.0000 | -0.0003 | 231.00 | 2.00e-05 | 1:43:56 | 2:46:02
132
+ 3900 | 0 | 0.000800 | 0.054526 | 0.011198 | 0.000932 | -0.010266 | 1.0000 | -0.0003 | 234.00 | 2.00e-05 | 1:45:15 | 2:44:38
133
+ 3950 | 0 | 0.044368 | 0.054397 | 0.256049 | 0.057800 | -0.198249 | 1.0000 | -0.0003 | 237.00 | 2.00e-05 | 1:46:35 | 2:43:15
134
+ 4000 | 0 | 0.022578 | 0.053999 | 0.117297 | 0.025897 | -0.091400 | 1.0000 | -0.0003 | 240.00 | 2.00e-05 | 1:47:54 | 2:41:52
135
+ [09:43:41] [TAM @ 4000] mean=-0.0003 std=0.0029 max=0.0133 visits=32000
136
+ [09:43:46] Saved checkpoint -> RESULTS/multigen/run_024/checkpoint-4000
137
+ [09:43:48] Generating 16 validation images ...
138
+ [09:44:08] Validation step 4000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0004000.png
139
+ 4050 | 0 | 0.010156 | 0.053458 | 0.073309 | 0.011217 | -0.062092 | 1.0000 | -0.0003 | 243.00 | 2.00e-05 | 1:49:41 | 2:41:09
140
+ 4100 | 0 | 0.030080 | 0.053173 | 0.119654 | 0.033886 | -0.085768 | 1.0000 | -0.0003 | 246.00 | 2.00e-05 | 1:51:01 | 2:39:45
141
+ 4150 | 0 | 0.031870 | 0.052916 | 0.108552 | 0.036819 | -0.071732 | 1.0000 | -0.0003 | 249.00 | 2.00e-05 | 1:52:20 | 2:38:22
142
+ 4200 | 0 | 0.004741 | 0.052343 | 0.040270 | 0.005350 | -0.034919 | 1.0000 | -0.0003 | 252.00 | 2.00e-05 | 1:53:40 | 2:36:58
143
+ 4250 | 0 | 0.012521 | 0.051874 | 0.096240 | 0.013802 | -0.082438 | 1.0000 | -0.0003 | 255.00 | 2.00e-05 | 1:54:59 | 2:35:34
144
+ 4300 | 0 | 0.035597 | 0.051685 | 0.170310 | 0.038282 | -0.132028 | 1.0000 | -0.0004 | 258.00 | 2.00e-05 | 1:56:18 | 2:34:10
145
+ 4350 | 0 | 0.023589 | 0.051362 | 0.134349 | 0.025329 | -0.109020 | 1.0000 | -0.0004 | 261.00 | 2.00e-05 | 1:57:38 | 2:32:47
146
+ 4400 | 0 | 0.039800 | 0.051231 | 0.136932 | 0.043741 | -0.093192 | 1.0000 | -0.0004 | 264.00 | 2.00e-05 | 1:58:57 | 2:31:24
147
+ 4450 | 0 | 0.010893 | 0.050777 | 0.088528 | 0.011882 | -0.076647 | 1.0000 | -0.0004 | 267.00 | 2.00e-05 | 2:00:16 | 2:30:00
148
+ 4500 | 0 | 0.009643 | 0.050320 | 0.066375 | 0.011688 | -0.054687 | 1.0000 | -0.0004 | 270.00 | 2.00e-05 | 2:01:36 | 2:28:37
149
+ [09:57:22] [TAM @ 4500] mean=-0.0004 std=0.0032 max=0.0133 visits=36000
150
+ 4550 | 0 | 0.013690 | 0.049918 | 0.229324 | 0.032021 | -0.197303 | 1.0000 | -0.0004 | 273.00 | 2.00e-05 | 2:02:55 | 2:27:14
151
+ 4600 | 0 | 0.017192 | 0.049562 | 0.069366 | 0.019662 | -0.049704 | 1.0000 | -0.0004 | 276.00 | 2.00e-05 | 2:04:15 | 2:25:51
152
+ 4650 | 0 | 0.012801 | 0.049167 | 0.223883 | 0.027579 | -0.196303 | 1.0000 | -0.0004 | 279.00 | 2.00e-05 | 2:05:34 | 2:24:28
153
+ 4700 | 0 | 0.017008 | 0.048825 | 0.246759 | 0.033226 | -0.213533 | 1.0000 | -0.0004 | 282.00 | 2.00e-05 | 2:06:53 | 2:23:05
154
+ 4750 | 0 | 0.010356 | 0.048420 | 0.094424 | 0.012953 | -0.081471 | 1.0000 | -0.0004 | 285.00 | 2.00e-05 | 2:08:13 | 2:21:42
155
+ 4800 | 0 | 0.009141 | 0.048011 | 0.089929 | 0.011049 | -0.078880 | 1.0000 | -0.0004 | 288.00 | 2.00e-05 | 2:09:32 | 2:20:20
156
+ 4850 | 0 | 0.011937 | 0.047639 | 0.078035 | 0.013865 | -0.064169 | 1.0000 | -0.0004 | 291.00 | 2.00e-05 | 2:10:51 | 2:18:57
157
+ 4900 | 0 | 0.031353 | 0.047473 | 0.174547 | 0.034107 | -0.140440 | 1.0000 | -0.0004 | 294.00 | 2.00e-05 | 2:12:11 | 2:17:34
158
+ 4950 | 0 | 0.021554 | 0.047211 | 0.126891 | 0.026217 | -0.100674 | 1.0000 | -0.0004 | 297.00 | 2.00e-05 | 2:13:30 | 2:16:12
159
+ 5000 | 0 | 0.015879 | 0.046897 | 0.116346 | 0.019160 | -0.097186 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:14:49 | 2:14:49
160
+ [10:10:36] [TAM @ 5000] mean=-0.0005 std=0.0036 max=0.0133 visits=40000
161
+ [10:10:37] Generating 16 validation images ...
162
+ [10:10:57] Validation step 5000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0005000.png
163
+ 5050 | 0 | 0.061271 | 0.046976 | 0.066759 | 0.063957 | -0.002803 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:16:30 | 2:13:48
164
+ 5100 | 0 | 0.147970 | 0.047566 | 0.154144 | 0.151681 | -0.002463 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:17:50 | 2:12:25
165
+ 5150 | 0 | 0.005521 | 0.047031 | 0.060308 | 0.006726 | -0.053583 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:19:09 | 2:11:03
166
+ 5200 | 0 | 0.014738 | 0.045371 | 0.111151 | 0.015849 | -0.095302 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:20:28 | 2:09:40
167
+ 5250 | 0 | 0.038435 | 0.045094 | 0.121693 | 0.038371 | -0.083321 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:21:48 | 2:08:17
168
+ 5300 | 0 | 0.010264 | 0.043733 | 0.062136 | 0.012213 | -0.049923 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:23:07 | 2:06:55
169
+ 5350 | 0 | 0.063003 | 0.043898 | 0.067004 | 0.060828 | -0.006175 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:24:26 | 2:05:32
170
+ 5400 | 0 | 0.014309 | 0.043378 | 0.133783 | 0.016578 | -0.117205 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:25:46 | 2:04:10
171
+ 5450 | 0 | 0.092612 | 0.043868 | 0.217277 | 0.096661 | -0.120615 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:27:05 | 2:02:48
172
+ 5500 | 0 | 0.082445 | 0.044405 | 0.130814 | 0.081982 | -0.048832 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:28:25 | 2:01:25
173
+ [10:24:11] [TAM @ 5500] mean=-0.0005 std=0.0037 max=0.0133 visits=44000
174
+ 5550 | 0 | 0.063997 | 0.043540 | 0.076838 | 0.059102 | -0.017736 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:29:44 | 2:00:03
175
+ 5600 | 0 | 0.027966 | 0.043102 | 0.036636 | 0.030047 | -0.006589 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:31:04 | 1:58:41
176
+ 5650 | 0 | 0.096041 | 0.043696 | 0.147173 | 0.105313 | -0.041860 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:32:23 | 1:57:19
177
+ 5700 | 0 | 0.020658 | 0.043724 | 0.096756 | 0.025389 | -0.071367 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:33:42 | 1:55:57
178
+ 5750 | 0 | 0.042087 | 0.043586 | 0.063688 | 0.044503 | -0.019185 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:35:02 | 1:54:35
179
+ 5800 | 0 | 0.247500 | 0.045490 | 0.241733 | 0.237438 | -0.004295 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:36:21 | 1:53:13
180
+ 5850 | 0 | 0.033770 | 0.045313 | 0.084105 | 0.036160 | -0.047945 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:37:40 | 1:51:51
181
+ 5900 | 0 | 0.067563 | 0.045533 | 0.096195 | 0.069494 | -0.026701 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:39:00 | 1:50:29
182
+ 5950 | 0 | 0.004207 | 0.044869 | 0.031452 | 0.004434 | -0.027018 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:40:19 | 1:49:07
183
+ 6000 | 0 | 0.037192 | 0.044682 | 0.109292 | 0.045176 | -0.064116 | 1.0000 | -0.0005 | 300.00 | 2.00e-05 | 2:41:38 | 1:47:45
184
+ [10:37:25] [TAM @ 6000] mean=-0.0005 std=0.0039 max=0.0133 visits=48000
185
+ [10:37:30] Saved checkpoint -> RESULTS/multigen/run_024/checkpoint-6000
186
+ [10:37:31] Generating 16 validation images ...
187
+ [10:37:51] Validation step 6000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0006000.png
188
+ 6050 | 0 | 0.040253 | 0.044383 | 0.113175 | 0.044367 | -0.068808 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:43:25 | 1:46:42
189
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190
+ 6150 | 0 | 0.025198 | 0.044168 | 0.107823 | 0.026581 | -0.081242 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:46:04 | 1:43:58
191
+ 6200 | 0 | 0.069396 | 0.043787 | 0.096230 | 0.068995 | -0.027235 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:47:24 | 1:42:36
192
+ 6250 | 0 | 0.080347 | 0.043808 | 0.161421 | 0.077814 | -0.083607 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:48:43 | 1:41:14
193
+ 6300 | 0 | 0.014937 | 0.042888 | 0.090979 | 0.017549 | -0.073430 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:50:03 | 1:39:52
194
+ 6350 | 0 | 0.053360 | 0.042713 | 0.264602 | 0.072569 | -0.192033 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:51:22 | 1:38:30
195
+ 6400 | 0 | 0.068171 | 0.042898 | 0.142551 | 0.079224 | -0.063327 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:52:42 | 1:37:08
196
+ 6450 | 0 | 0.114257 | 0.043967 | 0.134672 | 0.115359 | -0.019313 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:54:01 | 1:35:46
197
+ 6500 | 0 | 0.086492 | 0.043986 | 0.134605 | 0.088182 | -0.046422 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:55:21 | 1:34:25
198
+ [10:51:07] [TAM @ 6500] mean=-0.0006 std=0.0040 max=0.0138 visits=52000
199
+ 6550 | 0 | 0.072331 | 0.044381 | 0.073880 | 0.073964 | 0.000084 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:56:40 | 1:33:03
200
+ 6600 | 0 | 0.039464 | 0.044715 | 0.133126 | 0.041717 | -0.091408 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:58:00 | 1:31:41
201
+ 6650 | 0 | 0.025356 | 0.044221 | 0.145140 | 0.028712 | -0.116428 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 2:59:19 | 1:30:20
202
+ 6700 | 0 | 0.040795 | 0.044269 | 0.111044 | 0.045591 | -0.065453 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:00:38 | 1:28:58
203
+ 6750 | 0 | 0.093308 | 0.043779 | 0.110390 | 0.095991 | -0.014399 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:01:58 | 1:27:36
204
+ 6800 | 0 | 0.106227 | 0.043680 | 0.140290 | 0.106250 | -0.034040 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:03:17 | 1:26:15
205
+ 6850 | 0 | 0.048213 | 0.043292 | 0.175162 | 0.051332 | -0.123830 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:04:37 | 1:24:53
206
+ 6900 | 0 | 0.008770 | 0.043008 | 0.039809 | 0.010147 | -0.029662 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:05:56 | 1:23:32
207
+ 6950 | 0 | 0.011012 | 0.041897 | 0.069672 | 0.012316 | -0.057356 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:07:15 | 1:22:10
208
+ 7000 | 0 | 0.060906 | 0.041706 | 0.109943 | 0.064059 | -0.045884 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:08:35 | 1:20:49
209
+ [11:04:21] [TAM @ 7000] mean=-0.0006 std=0.0042 max=0.0138 visits=56000
210
+ [11:04:22] Generating 16 validation images ...
211
+ [11:04:42] Validation step 7000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0007000.png
212
+ 7050 | 0 | 0.034441 | 0.041521 | 0.226908 | 0.055057 | -0.171851 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:10:16 | 1:19:37
213
+ 7100 | 0 | 0.006725 | 0.040801 | 0.045500 | 0.008135 | -0.037365 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:11:36 | 1:18:15
214
+ 7150 | 0 | 0.012542 | 0.040319 | 0.098291 | 0.015414 | -0.082877 | 1.0000 | -0.0006 | 300.00 | 2.00e-05 | 3:12:55 | 1:16:53
215
+ 7200 | 0 | 0.011065 | 0.040105 | 0.099047 | 0.012768 | -0.086279 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:14:14 | 1:15:32
216
+ 7250 | 0 | 0.059085 | 0.040276 | 0.119812 | 0.062024 | -0.057788 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:15:34 | 1:14:11
217
+ 7300 | 0 | 0.129715 | 0.040849 | 0.147707 | 0.128322 | -0.019386 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:16:54 | 1:12:49
218
+ 7350 | 0 | 0.010378 | 0.040260 | 0.086242 | 0.012663 | -0.073579 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:18:13 | 1:11:28
219
+ 7400 | 0 | 0.177174 | 0.041819 | 0.201269 | 0.166331 | -0.034937 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:19:32 | 1:10:06
220
+ 7450 | 0 | 0.065185 | 0.042209 | 0.240081 | 0.081576 | -0.158506 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:20:52 | 1:08:45
221
+ 7500 | 0 | 0.193830 | 0.044089 | 0.203041 | 0.194280 | -0.008762 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:22:11 | 1:07:23
222
+ [11:17:58] [TAM @ 7500] mean=-0.0007 std=0.0043 max=0.0138 visits=60000
223
+ 7550 | 0 | 0.140744 | 0.045255 | 0.175132 | 0.136158 | -0.038974 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:23:31 | 1:06:02
224
+ 7600 | 0 | 0.014032 | 0.044697 | 0.078524 | 0.015592 | -0.062932 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:24:50 | 1:04:41
225
+ 7650 | 0 | 0.075974 | 0.044713 | 0.096531 | 0.075671 | -0.020860 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:26:10 | 1:03:19
226
+ 7700 | 0 | 0.129909 | 0.045905 | 0.212838 | 0.129699 | -0.083138 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:27:29 | 1:01:58
227
+ 7750 | 0 | 0.020399 | 0.046035 | 0.144193 | 0.023777 | -0.120416 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:28:49 | 1:00:37
228
+ 7800 | 0 | 0.084160 | 0.046796 | 0.111759 | 0.088036 | -0.023723 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:30:08 | 0:59:16
229
+ 7850 | 0 | 0.047719 | 0.046810 | 0.124525 | 0.052784 | -0.071741 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:31:28 | 0:57:55
230
+ 7900 | 0 | 0.130412 | 0.047863 | 0.121280 | 0.117178 | -0.004102 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:32:47 | 0:56:33
231
+ 7950 | 0 | 0.032014 | 0.047482 | 0.053202 | 0.032542 | -0.020661 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:34:07 | 0:55:12
232
+ 8000 | 0 | 0.026753 | 0.047544 | 0.102606 | 0.030965 | -0.071640 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:35:26 | 0:53:51
233
+ [11:31:12] [TAM @ 8000] mean=-0.0007 std=0.0044 max=0.0138 visits=64000
234
+ [11:31:18] Saved checkpoint -> RESULTS/multigen/run_024/checkpoint-8000
235
+ [11:31:20] Generating 16 validation images ...
236
+ [11:31:41] Validation step 8000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0008000.png
237
+ 8050 | 0 | 0.055890 | 0.047576 | 0.288451 | 0.076281 | -0.212170 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:37:15 | 0:52:37
238
+ 8100 | 0 | 0.030056 | 0.047713 | 0.075657 | 0.031904 | -0.043753 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:38:34 | 0:51:16
239
+ 8150 | 0 | 0.167117 | 0.048899 | 0.259472 | 0.166974 | -0.092498 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:39:53 | 0:49:54
240
+ 8200 | 0 | 0.050904 | 0.049293 | 0.060481 | 0.052053 | -0.008428 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:41:13 | 0:48:33
241
+ 8250 | 0 | 0.025433 | 0.049320 | 0.072574 | 0.028476 | -0.044098 | 1.0000 | -0.0007 | 300.00 | 2.00e-05 | 3:42:32 | 0:47:12
242
+ 8300 | 0 | 0.074963 | 0.049784 | 0.221068 | 0.081494 | -0.139574 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 3:43:52 | 0:45:51
243
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244
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245
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246
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247
+ [11:44:55] [TAM @ 8500] mean=-0.0008 std=0.0045 max=0.0138 visits=68000
248
+ 8550 | 0 | 0.020010 | 0.049424 | 0.168422 | 0.042428 | -0.125994 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 3:50:28 | 0:39:05
249
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250
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251
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252
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253
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254
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255
+ 8900 | 0 | 0.118243 | 0.051408 | 0.135661 | 0.121904 | -0.013757 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 3:59:44 | 0:29:37
256
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257
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258
+ [11:58:09] [TAM @ 9000] mean=-0.0008 std=0.0047 max=0.0138 visits=72000
259
+ [11:58:10] Generating 16 validation images ...
260
+ [11:58:31] Validation step 9000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0009000.png
261
+ 9050 | 0 | 0.019563 | 0.051802 | 0.183898 | 0.042860 | -0.141037 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:04:04 | 0:25:37
262
+ 9100 | 0 | 0.088353 | 0.052385 | 0.186587 | 0.091026 | -0.095561 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:05:23 | 0:24:16
263
+ 9150 | 0 | 0.007806 | 0.052144 | 0.035165 | 0.008071 | -0.027094 | 1.0000 | -0.0008 | 300.00 | 2.00e-05 | 4:06:43 | 0:22:55
264
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265
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266
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267
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268
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269
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270
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271
+ [12:11:45] [TAM @ 9500] mean=-0.0009 std=0.0048 max=0.0142 visits=76000
272
+ 9550 | 0 | 0.003306 | 0.054103 | 0.054368 | 0.003900 | -0.050467 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:17:18 | 0:12:07
273
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274
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275
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276
+ 9750 | 0 | 0.119504 | 0.055660 | 0.145026 | 0.121418 | -0.023608 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:22:35 | 0:06:43
277
+ 9800 | 0 | 0.009882 | 0.055667 | 0.192376 | 0.023807 | -0.168569 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:23:54 | 0:05:23
278
+ 9850 | 0 | 0.096101 | 0.056509 | 0.103766 | 0.099168 | -0.004598 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:25:14 | 0:04:02
279
+ 9900 | 0 | 0.044540 | 0.056641 | 0.066919 | 0.048470 | -0.018449 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:26:33 | 0:02:41
280
+ 9950 | 0 | 0.038716 | 0.056813 | 0.142451 | 0.043302 | -0.099150 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:27:52 | 0:01:20
281
+ 10000 | 0 | 0.053952 | 0.057193 | 0.142575 | 0.058279 | -0.084296 | 1.0000 | -0.0009 | 300.00 | 2.00e-05 | 4:29:12 | 0:00:00
282
+ [12:24:58] [TAM @ 10000] mean=-0.0009 std=0.0049 max=0.0142 visits=80000
283
+ [12:25:03] Saved checkpoint -> RESULTS/multigen/run_024/checkpoint-10000
284
+ [12:25:06] Generating 16 validation images ...
285
+ [12:25:26] Validation step 10000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0010000.png
286
+ [12:25:26] --- Epoch 0 | Steps: 10000 | Avg Loss: 0.054408 ---
287
+ [12:25:26] Saving final model ...
288
+ [12:25:41] Pipeline saved -> RESULTS/multigen/run_024
289
+ [12:25:41] Generating final validation collage ...
290
+ [12:25:41] Generating 16 validation images ...
291
+ [12:26:01] Validation step 10000: 16 images -> RESULTS/multigen/run_024/validation/collage_step_0010000.png
292
+ [12:26:01]
293
+ [12:26:01] ============================================================
294
+ [12:26:01] TRAINING SUMMARY
295
+ [12:26:01] ============================================================
296
+ [12:26:01] Total steps : 200
297
+ [12:26:01] Final loss : 0.053952
298
+ [12:26:01] Avg last 100 : 0.057193
299
+ [12:26:01] Min loss : 0.000800
300
+ [12:26:01] Total time : 4:30:15
301
+ [12:26:01] Output : RESULTS/multigen/run_024
302
+ [12:26:01] ============================================================
multigen/pixart_alpha/run_009/training_args.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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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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+ Training started: 2026-08-02 01:20:02
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [01:20:02] Run directory: RESULTS/multigen/run_010
6
+ [01:20:02] Loading PixArt-Alpha components ...
7
+ [01:20:12] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [01:20:12] Building dataset ...
9
+ [01:20:13]
10
+ [01:20:13] ================================================================
11
+ [01:20:13] Model = PixArt-alpha/PixArt-XL-2-512x512
12
+ [01:20:13] Output dir = RESULTS/multigen/run_010
13
+ [01:20:13] Num examples = 499995
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+ [01:20:13] Num epochs = 1
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+ [01:20:13] Batch/device = 8
16
+ [01:20:13] Grad accum = 1
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+ [01:20:13] Effective BS = 8
18
+ [01:20:13] Total optim steps = 13200
19
+ [01:20:13] LR = 1e-06
20
+ [01:20:13] Precision = bf16
21
+ [01:20:13] Resolution = 512x512
22
+ [01:20:13] Max seq length = 120
23
+ [01:20:13] ================================================================
24
+ [01:20:13]
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+ 50 | 0 | 0.082750 | 0.082750 | 1.00e-06 | 0:01:05 | 4:46:21
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+ 800 | 0 | 0.029956 | 0.131554 | 1.00e-06 | 0:14:36 | 3:46:24
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+ 850 | 0 | 0.177537 | 0.134259 | 1.00e-06 | 0:15:30 | 3:45:19
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+ 900 | 0 | 0.224683 | 0.139282 | 1.00e-06 | 0:16:24 | 3:44:16
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+ 950 | 0 | 0.070846 | 0.135681 | 1.00e-06 | 0:17:18 | 3:43:13
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+ 1000 | 0 | 0.254936 | 0.141643 | 1.00e-06 | 0:18:12 | 3:42:11
45
+ [01:38:16] Generating 16 validation images ...
46
+ [01:38:34] Validation step 1000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0001000.png
47
+ 1050 | 0 | 0.194345 | 0.144153 | 1.00e-06 | 0:19:26 | 3:44:58
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+ 1550 | 0 | 0.153941 | 0.135646 | 1.00e-06 | 0:28:28 | 3:34:01
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+ 1600 | 0 | 0.113634 | 0.134958 | 1.00e-06 | 0:29:22 | 3:33:01
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+ 1650 | 0 | 0.043948 | 0.132200 | 1.00e-06 | 0:30:17 | 3:32:01
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+ 1800 | 0 | 0.134780 | 0.132615 | 1.00e-06 | 0:33:00 | 3:29:02
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+ 1850 | 0 | 0.095793 | 0.131620 | 1.00e-06 | 0:33:54 | 3:28:03
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+ 2000 | 0 | 0.260276 | 0.135344 | 1.00e-06 | 0:36:37 | 3:25:08
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+ [01:56:51] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-2000
68
+ [01:56:52] Generating 16 validation images ...
69
+ [01:57:10] Validation step 2000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0002000.png
70
+ 2050 | 0 | 0.386431 | 0.141468 | 1.00e-06 | 0:38:02 | 3:26:55
71
+ 2100 | 0 | 0.080121 | 0.140008 | 1.00e-06 | 0:38:56 | 3:25:52
72
+ 2150 | 0 | 0.074938 | 0.138494 | 1.00e-06 | 0:39:51 | 3:24:50
73
+ 2200 | 0 | 0.190083 | 0.139667 | 1.00e-06 | 0:40:45 | 3:23:49
74
+ 2250 | 0 | 0.017785 | 0.136958 | 1.00e-06 | 0:41:40 | 3:22:47
75
+ 2300 | 0 | 0.060061 | 0.135287 | 1.00e-06 | 0:42:34 | 3:21:46
76
+ 2350 | 0 | 0.201553 | 0.136697 | 1.00e-06 | 0:43:29 | 3:20:45
77
+ 2400 | 0 | 0.073363 | 0.135377 | 1.00e-06 | 0:44:23 | 3:19:45
78
+ 2450 | 0 | 0.159194 | 0.135863 | 1.00e-06 | 0:45:17 | 3:18:44
79
+ 2500 | 0 | 0.064191 | 0.134430 | 1.00e-06 | 0:46:12 | 3:17:44
80
+ 2550 | 0 | 0.103666 | 0.133826 | 1.00e-06 | 0:47:06 | 3:16:44
81
+ 2600 | 0 | 0.124074 | 0.133639 | 1.00e-06 | 0:48:00 | 3:15:45
82
+ 2650 | 0 | 0.113417 | 0.133257 | 1.00e-06 | 0:48:55 | 3:14:45
83
+ 2700 | 0 | 0.095872 | 0.132565 | 1.00e-06 | 0:49:49 | 3:13:46
84
+ 2750 | 0 | 0.054623 | 0.131148 | 1.00e-06 | 0:50:43 | 3:12:47
85
+ 2800 | 0 | 0.190820 | 0.132214 | 1.00e-06 | 0:51:38 | 3:11:48
86
+ 2850 | 0 | 0.084256 | 0.131372 | 1.00e-06 | 0:52:32 | 3:10:49
87
+ 2900 | 0 | 0.085335 | 0.130578 | 1.00e-06 | 0:53:27 | 3:09:50
88
+ 2950 | 0 | 0.199037 | 0.131739 | 1.00e-06 | 0:54:21 | 3:08:52
89
+ 3000 | 0 | 0.158298 | 0.132181 | 1.00e-06 | 0:55:15 | 3:07:53
90
+ [02:15:19] Generating 16 validation images ...
91
+ [02:15:37] Validation step 3000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0003000.png
92
+ 3050 | 0 | 0.071358 | 0.131184 | 1.00e-06 | 0:56:30 | 3:08:01
93
+ 3100 | 0 | 0.106557 | 0.130787 | 1.00e-06 | 0:57:24 | 3:07:02
94
+ 3150 | 0 | 0.084418 | 0.130051 | 1.00e-06 | 0:58:18 | 3:06:03
95
+ 3200 | 0 | 0.086714 | 0.129374 | 1.00e-06 | 0:59:13 | 3:05:03
96
+ 3250 | 0 | 0.068755 | 0.128441 | 1.00e-06 | 1:00:07 | 3:04:04
97
+ 3300 | 0 | 0.211905 | 0.129706 | 1.00e-06 | 1:01:01 | 3:03:05
98
+ 3350 | 0 | 0.224528 | 0.131121 | 1.00e-06 | 1:01:56 | 3:02:07
99
+ 3400 | 0 | 0.176023 | 0.131782 | 1.00e-06 | 1:02:50 | 3:01:08
100
+ 3450 | 0 | 0.156007 | 0.132133 | 1.00e-06 | 1:03:45 | 3:00:09
101
+ 3500 | 0 | 0.041953 | 0.130844 | 1.00e-06 | 1:04:39 | 2:59:11
102
+ 3550 | 0 | 0.147012 | 0.131072 | 1.00e-06 | 1:05:33 | 2:58:13
103
+ 3600 | 0 | 0.194288 | 0.131950 | 1.00e-06 | 1:06:28 | 2:57:15
104
+ 3650 | 0 | 0.251433 | 0.133587 | 1.00e-06 | 1:07:22 | 2:56:17
105
+ 3700 | 0 | 0.051226 | 0.132474 | 1.00e-06 | 1:08:16 | 2:55:19
106
+ 3750 | 0 | 0.090432 | 0.131913 | 1.00e-06 | 1:09:11 | 2:54:21
107
+ 3800 | 0 | 0.125271 | 0.131826 | 1.00e-06 | 1:10:05 | 2:53:23
108
+ 3850 | 0 | 0.059319 | 0.130884 | 1.00e-06 | 1:10:59 | 2:52:25
109
+ 3900 | 0 | 0.084211 | 0.130286 | 1.00e-06 | 1:11:54 | 2:51:28
110
+ 3950 | 0 | 0.130530 | 0.130289 | 1.00e-06 | 1:12:48 | 2:50:30
111
+ 4000 | 0 | 0.123245 | 0.130201 | 1.00e-06 | 1:13:43 | 2:49:33
112
+ [02:33:58] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-4000
113
+ [02:33:59] Generating 16 validation images ...
114
+ [02:34:17] Validation step 4000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0004000.png
115
+ 4050 | 0 | 0.112143 | 0.129978 | 1.00e-06 | 1:15:09 | 2:49:48
116
+ 4100 | 0 | 0.148656 | 0.130206 | 1.00e-06 | 1:16:03 | 2:48:49
117
+ 4150 | 0 | 0.225345 | 0.131352 | 1.00e-06 | 1:16:58 | 2:47:51
118
+ 4200 | 0 | 0.169356 | 0.131804 | 1.00e-06 | 1:17:52 | 2:46:52
119
+ 4250 | 0 | 0.072297 | 0.131104 | 1.00e-06 | 1:18:47 | 2:45:54
120
+ 4300 | 0 | 0.171438 | 0.131573 | 1.00e-06 | 1:19:41 | 2:44:56
121
+ 4350 | 0 | 0.011345 | 0.130191 | 1.00e-06 | 1:20:35 | 2:43:58
122
+ 4400 | 0 | 0.175365 | 0.130705 | 1.00e-06 | 1:21:30 | 2:43:00
123
+ 4450 | 0 | 0.099865 | 0.130358 | 1.00e-06 | 1:22:24 | 2:42:02
124
+ 4500 | 0 | 0.334125 | 0.132622 | 1.00e-06 | 1:23:18 | 2:41:04
125
+ 4550 | 0 | 0.320962 | 0.134692 | 1.00e-06 | 1:24:13 | 2:40:06
126
+ 4600 | 0 | 0.184519 | 0.135234 | 1.00e-06 | 1:25:07 | 2:39:09
127
+ 4650 | 0 | 0.136827 | 0.135251 | 1.00e-06 | 1:26:02 | 2:38:11
128
+ 4700 | 0 | 0.189355 | 0.135826 | 1.00e-06 | 1:26:56 | 2:37:13
129
+ 4750 | 0 | 0.104598 | 0.135498 | 1.00e-06 | 1:27:50 | 2:36:15
130
+ 4800 | 0 | 0.217095 | 0.136348 | 1.00e-06 | 1:28:44 | 2:35:17
131
+ 4850 | 0 | 0.104302 | 0.136017 | 1.00e-06 | 1:29:38 | 2:34:20
132
+ 4900 | 0 | 0.067699 | 0.135320 | 1.00e-06 | 1:30:32 | 2:33:22
133
+ 4950 | 0 | 0.220050 | 0.136176 | 1.00e-06 | 1:31:26 | 2:32:24
134
+ 5000 | 0 | 0.019723 | 0.135011 | 1.00e-06 | 1:32:20 | 2:31:27
135
+ [02:52:24] Generating 16 validation images ...
136
+ [02:52:42] Validation step 5000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0005000.png
137
+ 5050 | 0 | 0.065913 | 0.134843 | 1.00e-06 | 1:33:34 | 2:31:00
138
+ 5100 | 0 | 0.323522 | 0.136411 | 1.00e-06 | 1:34:28 | 2:30:02
139
+ 5150 | 0 | 0.165798 | 0.137612 | 1.00e-06 | 1:35:22 | 2:29:04
140
+ 5200 | 0 | 0.183880 | 0.138539 | 1.00e-06 | 1:36:16 | 2:28:06
141
+ 5250 | 0 | 0.013272 | 0.136387 | 1.00e-06 | 1:37:10 | 2:27:08
142
+ 5300 | 0 | 0.059684 | 0.135909 | 1.00e-06 | 1:38:04 | 2:26:11
143
+ 5350 | 0 | 0.038594 | 0.135251 | 1.00e-06 | 1:38:58 | 2:25:13
144
+ 5400 | 0 | 0.292449 | 0.137078 | 1.00e-06 | 1:39:52 | 2:24:15
145
+ 5450 | 0 | 0.040328 | 0.136503 | 1.00e-06 | 1:40:46 | 2:23:18
146
+ 5500 | 0 | 0.135916 | 0.136299 | 1.00e-06 | 1:41:40 | 2:22:20
147
+ 5550 | 0 | 0.101946 | 0.133848 | 1.00e-06 | 1:42:34 | 2:21:23
148
+ 5600 | 0 | 0.172152 | 0.133737 | 1.00e-06 | 1:43:28 | 2:20:26
149
+ 5650 | 0 | 0.151957 | 0.134178 | 1.00e-06 | 1:44:22 | 2:19:28
150
+ 5700 | 0 | 0.116819 | 0.133155 | 1.00e-06 | 1:45:16 | 2:18:31
151
+ 5750 | 0 | 0.099900 | 0.133884 | 1.00e-06 | 1:46:10 | 2:17:34
152
+ 5800 | 0 | 0.084025 | 0.134424 | 1.00e-06 | 1:47:04 | 2:16:37
153
+ 5850 | 0 | 0.077736 | 0.133426 | 1.00e-06 | 1:47:58 | 2:15:40
154
+ 5900 | 0 | 0.065330 | 0.131833 | 1.00e-06 | 1:48:53 | 2:14:43
155
+ 5950 | 0 | 0.105105 | 0.132175 | 1.00e-06 | 1:49:47 | 2:13:46
156
+ 6000 | 0 | 0.118518 | 0.130811 | 1.00e-06 | 1:50:41 | 2:12:49
157
+ [03:10:55] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-6000
158
+ [03:10:56] Generating 16 validation images ...
159
+ [03:11:14] Validation step 6000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0006000.png
160
+ 6050 | 0 | 0.351265 | 0.132380 | 1.00e-06 | 1:52:06 | 2:12:29
161
+ 6100 | 0 | 0.086332 | 0.131845 | 1.00e-06 | 1:53:00 | 2:11:32
162
+ 6150 | 0 | 0.152234 | 0.130719 | 1.00e-06 | 1:53:54 | 2:10:35
163
+ 6200 | 0 | 0.072331 | 0.130134 | 1.00e-06 | 1:54:49 | 2:09:37
164
+ 6250 | 0 | 0.172501 | 0.131324 | 1.00e-06 | 1:55:43 | 2:08:40
165
+ 6300 | 0 | 0.076818 | 0.129631 | 1.00e-06 | 1:56:37 | 2:07:43
166
+ 6350 | 0 | 0.032760 | 0.129555 | 1.00e-06 | 1:57:31 | 2:06:46
167
+ 6400 | 0 | 0.288342 | 0.131898 | 1.00e-06 | 1:58:25 | 2:05:49
168
+ 6450 | 0 | 0.089357 | 0.132439 | 1.00e-06 | 1:59:19 | 2:04:52
169
+ 6500 | 0 | 0.110800 | 0.132956 | 1.00e-06 | 2:00:13 | 2:03:55
170
+ 6550 | 0 | 0.066952 | 0.132086 | 1.00e-06 | 2:01:08 | 2:02:58
171
+ 6600 | 0 | 0.209148 | 0.133042 | 1.00e-06 | 2:02:02 | 2:02:02
172
+ 6650 | 0 | 0.146765 | 0.134070 | 1.00e-06 | 2:02:56 | 2:01:05
173
+ 6700 | 0 | 0.139858 | 0.133159 | 1.00e-06 | 2:03:50 | 2:00:08
174
+ 6750 | 0 | 0.063144 | 0.133332 | 1.00e-06 | 2:04:44 | 1:59:11
175
+ 6800 | 0 | 0.168029 | 0.133665 | 1.00e-06 | 2:05:38 | 1:58:15
176
+ 6850 | 0 | 0.116467 | 0.133872 | 1.00e-06 | 2:06:32 | 1:57:18
177
+ 6900 | 0 | 0.306914 | 0.135785 | 1.00e-06 | 2:07:26 | 1:56:21
178
+ 6950 | 0 | 0.204232 | 0.136147 | 1.00e-06 | 2:08:20 | 1:55:25
179
+ 7000 | 0 | 0.091378 | 0.134458 | 1.00e-06 | 2:09:15 | 1:54:28
180
+ [03:29:18] Generating 16 validation images ...
181
+ [03:29:36] Validation step 7000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0007000.png
182
+ 7050 | 0 | 0.161466 | 0.132209 | 1.00e-06 | 2:10:29 | 1:53:49
183
+ 7100 | 0 | 0.195810 | 0.133366 | 1.00e-06 | 2:11:23 | 1:52:52
184
+ 7150 | 0 | 0.112967 | 0.133746 | 1.00e-06 | 2:12:17 | 1:51:56
185
+ 7200 | 0 | 0.255348 | 0.134399 | 1.00e-06 | 2:13:11 | 1:50:59
186
+ 7250 | 0 | 0.063181 | 0.134853 | 1.00e-06 | 2:14:05 | 1:50:02
187
+ 7300 | 0 | 0.099157 | 0.135243 | 1.00e-06 | 2:14:59 | 1:49:06
188
+ 7350 | 0 | 0.085506 | 0.134083 | 1.00e-06 | 2:15:53 | 1:48:09
189
+ 7400 | 0 | 0.239869 | 0.135748 | 1.00e-06 | 2:16:47 | 1:47:13
190
+ 7450 | 0 | 0.064646 | 0.134803 | 1.00e-06 | 2:17:42 | 1:46:16
191
+ 7500 | 0 | 0.170364 | 0.135864 | 1.00e-06 | 2:18:36 | 1:45:20
192
+ 7550 | 0 | 0.160831 | 0.136436 | 1.00e-06 | 2:19:30 | 1:44:23
193
+ 7600 | 0 | 0.107644 | 0.136272 | 1.00e-06 | 2:20:24 | 1:43:27
194
+ 7650 | 0 | 0.159462 | 0.136732 | 1.00e-06 | 2:21:18 | 1:42:31
195
+ 7700 | 0 | 0.198388 | 0.137757 | 1.00e-06 | 2:22:12 | 1:41:34
196
+ 7750 | 0 | 0.155850 | 0.138770 | 1.00e-06 | 2:23:06 | 1:40:38
197
+ 7800 | 0 | 0.230451 | 0.139166 | 1.00e-06 | 2:24:00 | 1:39:42
198
+ 7850 | 0 | 0.108705 | 0.139410 | 1.00e-06 | 2:24:54 | 1:38:45
199
+ 7900 | 0 | 0.090042 | 0.139457 | 1.00e-06 | 2:25:49 | 1:37:49
200
+ 7950 | 0 | 0.096937 | 0.138436 | 1.00e-06 | 2:26:43 | 1:36:53
201
+ 8000 | 0 | 0.186339 | 0.138717 | 1.00e-06 | 2:27:37 | 1:35:57
202
+ [03:47:52] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-8000
203
+ [03:47:55] Generating 16 validation images ...
204
+ [03:48:13] Validation step 8000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0008000.png
205
+ 8050 | 0 | 0.114915 | 0.139152 | 1.00e-06 | 2:29:05 | 1:35:22
206
+ 8100 | 0 | 0.050911 | 0.138596 | 1.00e-06 | 2:29:59 | 1:34:26
207
+ 8150 | 0 | 0.195144 | 0.139703 | 1.00e-06 | 2:30:53 | 1:33:29
208
+ 8200 | 0 | 0.125890 | 0.140095 | 1.00e-06 | 2:31:47 | 1:32:33
209
+ 8250 | 0 | 0.049314 | 0.139901 | 1.00e-06 | 2:32:41 | 1:31:36
210
+ 8300 | 0 | 0.131263 | 0.139094 | 1.00e-06 | 2:33:35 | 1:30:40
211
+ 8350 | 0 | 0.073147 | 0.137580 | 1.00e-06 | 2:34:29 | 1:29:44
212
+ 8400 | 0 | 0.107636 | 0.136896 | 1.00e-06 | 2:35:23 | 1:28:47
213
+ 8450 | 0 | 0.094308 | 0.136279 | 1.00e-06 | 2:36:17 | 1:27:51
214
+ 8500 | 0 | 0.134458 | 0.137205 | 1.00e-06 | 2:37:11 | 1:26:55
215
+ 8550 | 0 | 0.108953 | 0.136824 | 1.00e-06 | 2:38:06 | 1:25:59
216
+ 8600 | 0 | 0.255638 | 0.137437 | 1.00e-06 | 2:39:00 | 1:25:02
217
+ 8650 | 0 | 0.052848 | 0.135452 | 1.00e-06 | 2:39:54 | 1:24:06
218
+ 8700 | 0 | 0.139489 | 0.136334 | 1.00e-06 | 2:40:48 | 1:23:10
219
+ 8750 | 0 | 0.033927 | 0.135769 | 1.00e-06 | 2:41:42 | 1:22:14
220
+ 8800 | 0 | 0.053275 | 0.135049 | 1.00e-06 | 2:42:36 | 1:21:18
221
+ 8850 | 0 | 0.168934 | 0.136145 | 1.00e-06 | 2:43:30 | 1:20:22
222
+ 8900 | 0 | 0.111728 | 0.136421 | 1.00e-06 | 2:44:24 | 1:19:26
223
+ 8950 | 0 | 0.005410 | 0.135169 | 1.00e-06 | 2:45:19 | 1:18:30
224
+ 9000 | 0 | 0.141369 | 0.135351 | 1.00e-06 | 2:46:13 | 1:17:34
225
+ [04:06:16] Generating 16 validation images ...
226
+ [04:06:34] Validation step 9000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0009000.png
227
+ 9050 | 0 | 0.236042 | 0.136590 | 1.00e-06 | 2:47:26 | 1:16:47
228
+ 9100 | 0 | 0.088866 | 0.135992 | 1.00e-06 | 2:48:20 | 1:15:50
229
+ 9150 | 0 | 0.092991 | 0.134668 | 1.00e-06 | 2:49:14 | 1:14:54
230
+ 9200 | 0 | 0.282899 | 0.135804 | 1.00e-06 | 2:50:09 | 1:13:58
231
+ 9250 | 0 | 0.148404 | 0.136565 | 1.00e-06 | 2:51:03 | 1:13:02
232
+ 9300 | 0 | 0.192396 | 0.136774 | 1.00e-06 | 2:51:57 | 1:12:06
233
+ 9350 | 0 | 0.134039 | 0.138001 | 1.00e-06 | 2:52:51 | 1:11:10
234
+ 9400 | 0 | 0.142151 | 0.137669 | 1.00e-06 | 2:53:45 | 1:10:14
235
+ 9450 | 0 | 0.053454 | 0.137205 | 1.00e-06 | 2:54:39 | 1:09:18
236
+ 9500 | 0 | 0.028322 | 0.134147 | 1.00e-06 | 2:55:34 | 1:08:22
237
+ 9550 | 0 | 0.018268 | 0.131120 | 1.00e-06 | 2:56:28 | 1:07:26
238
+ 9600 | 0 | 0.148939 | 0.130764 | 1.00e-06 | 2:57:22 | 1:06:30
239
+ 9650 | 0 | 0.115081 | 0.130547 | 1.00e-06 | 2:58:16 | 1:05:35
240
+ 9700 | 0 | 0.142569 | 0.130079 | 1.00e-06 | 2:59:10 | 1:04:39
241
+ 9750 | 0 | 0.083738 | 0.129870 | 1.00e-06 | 3:00:04 | 1:03:43
242
+ 9800 | 0 | 0.107933 | 0.128779 | 1.00e-06 | 3:00:59 | 1:02:47
243
+ 9850 | 0 | 0.111257 | 0.128848 | 1.00e-06 | 3:01:53 | 1:01:51
244
+ 9900 | 0 | 0.072804 | 0.128899 | 1.00e-06 | 3:02:47 | 1:00:55
245
+ 9950 | 0 | 0.079149 | 0.127490 | 1.00e-06 | 3:03:41 | 1:00:00
246
+ 10000 | 0 | 0.165134 | 0.128944 | 1.00e-06 | 3:04:35 | 0:59:04
247
+ [04:24:48] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-10000
248
+ [04:24:51] Generating 16 validation images ...
249
+ [04:25:09] Validation step 10000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0010000.png
250
+ 10050 | 0 | 0.239362 | 0.130679 | 1.00e-06 | 3:06:01 | 0:58:18
251
+ 10100 | 0 | 0.160450 | 0.129048 | 1.00e-06 | 3:06:55 | 0:57:22
252
+ 10150 | 0 | 0.102325 | 0.128413 | 1.00e-06 | 3:07:49 | 0:56:26
253
+ 10200 | 0 | 0.261162 | 0.129186 | 1.00e-06 | 3:08:43 | 0:55:30
254
+ 10250 | 0 | 0.209437 | 0.131148 | 1.00e-06 | 3:09:37 | 0:54:34
255
+ 10300 | 0 | 0.133550 | 0.131886 | 1.00e-06 | 3:10:31 | 0:53:38
256
+ 10350 | 0 | 0.019382 | 0.131694 | 1.00e-06 | 3:11:26 | 0:52:42
257
+ 10400 | 0 | 0.148059 | 0.130250 | 1.00e-06 | 3:12:20 | 0:51:47
258
+ 10450 | 0 | 0.332015 | 0.133167 | 1.00e-06 | 3:13:14 | 0:50:51
259
+ 10500 | 0 | 0.016780 | 0.131976 | 1.00e-06 | 3:14:08 | 0:49:55
260
+ 10550 | 0 | 0.118943 | 0.132146 | 1.00e-06 | 3:15:02 | 0:48:59
261
+ 10600 | 0 | 0.042945 | 0.130854 | 1.00e-06 | 3:15:56 | 0:48:03
262
+ 10650 | 0 | 0.102201 | 0.130356 | 1.00e-06 | 3:16:51 | 0:47:08
263
+ 10700 | 0 | 0.103126 | 0.130219 | 1.00e-06 | 3:17:45 | 0:46:12
264
+ 10750 | 0 | 0.205109 | 0.131271 | 1.00e-06 | 3:18:39 | 0:45:16
265
+ 10800 | 0 | 0.254410 | 0.132975 | 1.00e-06 | 3:19:33 | 0:44:20
266
+ 10850 | 0 | 0.241645 | 0.134614 | 1.00e-06 | 3:20:27 | 0:43:25
267
+ 10900 | 0 | 0.050267 | 0.134464 | 1.00e-06 | 3:21:21 | 0:42:29
268
+ 10950 | 0 | 0.022444 | 0.133637 | 1.00e-06 | 3:22:16 | 0:41:33
269
+ 11000 | 0 | 0.025987 | 0.132712 | 1.00e-06 | 3:23:10 | 0:40:38
270
+ [04:43:12] Generating 16 validation images ...
271
+ [04:43:30] Validation step 11000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0011000.png
272
+ 11050 | 0 | 0.063853 | 0.129838 | 1.00e-06 | 3:24:23 | 0:39:46
273
+ 11100 | 0 | 0.132962 | 0.130304 | 1.00e-06 | 3:25:17 | 0:38:50
274
+ 11150 | 0 | 0.185352 | 0.130635 | 1.00e-06 | 3:26:11 | 0:37:54
275
+ 11200 | 0 | 0.228197 | 0.132194 | 1.00e-06 | 3:27:05 | 0:36:58
276
+ 11250 | 0 | 0.132858 | 0.131797 | 1.00e-06 | 3:27:59 | 0:36:03
277
+ 11300 | 0 | 0.169155 | 0.132721 | 1.00e-06 | 3:28:53 | 0:35:07
278
+ 11350 | 0 | 0.142165 | 0.133815 | 1.00e-06 | 3:29:48 | 0:34:11
279
+ 11400 | 0 | 0.063856 | 0.131570 | 1.00e-06 | 3:30:42 | 0:33:16
280
+ 11450 | 0 | 0.145262 | 0.132129 | 1.00e-06 | 3:31:36 | 0:32:20
281
+ 11500 | 0 | 0.075936 | 0.131780 | 1.00e-06 | 3:32:30 | 0:31:24
282
+ 11550 | 0 | 0.022497 | 0.131336 | 1.00e-06 | 3:33:24 | 0:30:29
283
+ 11600 | 0 | 0.015634 | 0.129401 | 1.00e-06 | 3:34:18 | 0:29:33
284
+ 11650 | 0 | 0.175729 | 0.129690 | 1.00e-06 | 3:35:12 | 0:28:38
285
+ 11700 | 0 | 0.136042 | 0.129652 | 1.00e-06 | 3:36:07 | 0:27:42
286
+ 11750 | 0 | 0.068364 | 0.129704 | 1.00e-06 | 3:37:01 | 0:26:46
287
+ 11800 | 0 | 0.087495 | 0.128899 | 1.00e-06 | 3:37:55 | 0:25:51
288
+ 11850 | 0 | 0.050724 | 0.128242 | 1.00e-06 | 3:38:49 | 0:24:55
289
+ 11900 | 0 | 0.178247 | 0.126955 | 1.00e-06 | 3:39:43 | 0:24:00
290
+ 11950 | 0 | 0.108851 | 0.126001 | 1.00e-06 | 3:40:37 | 0:23:04
291
+ 12000 | 0 | 0.257632 | 0.127664 | 1.00e-06 | 3:41:31 | 0:22:09
292
+ [05:01:45] Saved checkpoint -> RESULTS/multigen/run_010/checkpoint-12000
293
+ [05:01:47] Generating 16 validation images ...
294
+ [05:02:05] Validation step 12000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0012000.png
295
+ 12050 | 0 | 0.129259 | 0.127342 | 1.00e-06 | 3:42:57 | 0:21:16
296
+ 12100 | 0 | 0.071045 | 0.126094 | 1.00e-06 | 3:43:51 | 0:20:21
297
+ 12150 | 0 | 0.257661 | 0.127541 | 1.00e-06 | 3:44:45 | 0:19:25
298
+ 12200 | 0 | 0.087605 | 0.125863 | 1.00e-06 | 3:45:39 | 0:18:29
299
+ 12250 | 0 | 0.139852 | 0.126630 | 1.00e-06 | 3:46:33 | 0:17:34
300
+ 12300 | 0 | 0.193516 | 0.127574 | 1.00e-06 | 3:47:28 | 0:16:38
301
+ 12350 | 0 | 0.233453 | 0.129053 | 1.00e-06 | 3:48:22 | 0:15:43
302
+ 12400 | 0 | 0.185062 | 0.128505 | 1.00e-06 | 3:49:16 | 0:14:47
303
+ 12450 | 0 | 0.213401 | 0.129993 | 1.00e-06 | 3:50:10 | 0:13:51
304
+ 12500 | 0 | 0.171872 | 0.130008 | 1.00e-06 | 3:51:04 | 0:12:56
305
+ 12550 | 0 | 0.069240 | 0.129092 | 1.00e-06 | 3:51:58 | 0:12:00
306
+ 12600 | 0 | 0.019613 | 0.128212 | 1.00e-06 | 3:52:52 | 0:11:05
307
+ 12650 | 0 | 0.031850 | 0.126935 | 1.00e-06 | 3:53:47 | 0:10:09
308
+ 12700 | 0 | 0.069900 | 0.125651 | 1.00e-06 | 3:54:41 | 0:09:14
309
+ 12750 | 0 | 0.143165 | 0.125524 | 1.00e-06 | 3:55:35 | 0:08:18
310
+ 12800 | 0 | 0.227386 | 0.125493 | 1.00e-06 | 3:56:29 | 0:07:23
311
+ 12850 | 0 | 0.154652 | 0.125953 | 1.00e-06 | 3:57:23 | 0:06:27
312
+ 12900 | 0 | 0.110576 | 0.126158 | 1.00e-06 | 3:58:17 | 0:05:32
313
+ 12950 | 0 | 0.072160 | 0.125910 | 1.00e-06 | 3:59:12 | 0:04:37
314
+ 13000 | 0 | 0.123229 | 0.125279 | 1.00e-06 | 4:00:06 | 0:03:41
315
+ [05:20:09] Generating 16 validation images ...
316
+ [05:20:27] Validation step 13000: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0013000.png
317
+ 13050 | 0 | 0.161412 | 0.125744 | 1.00e-06 | 4:01:19 | 0:02:46
318
+ 13100 | 0 | 0.203133 | 0.127266 | 1.00e-06 | 4:02:13 | 0:01:50
319
+ 13150 | 0 | 0.195347 | 0.127268 | 1.00e-06 | 4:03:07 | 0:00:55
320
+ 13200 | 0 | 0.064253 | 0.126652 | 1.00e-06 | 4:04:01 | 0:00:00
321
+ [05:24:04] --- Epoch 0 | Steps: 13200 | Avg Loss: 0.127851 ---
322
+ [05:24:04] Saving final model ...
323
+ [05:24:19] Pipeline saved -> RESULTS/multigen/run_010
324
+ [05:24:19] Generating final validation collage ...
325
+ [05:24:19] Generating 16 validation images ...
326
+ [05:24:37] Validation step 13200: 16 images -> RESULTS/multigen/run_010/validation/collage_step_0013200.png
327
+ [05:24:37]
328
+ [05:24:37] ============================================================
329
+ [05:24:37] TRAINING SUMMARY
330
+ [05:24:37] ============================================================
331
+ [05:24:37] Total steps : 264
332
+ [05:24:37] Final loss : 0.064253
333
+ [05:24:37] Avg last 100 : 0.126652
334
+ [05:24:37] Min loss : 0.005410
335
+ [05:24:37] Total time : 4:04:35
336
+ [05:24:37] Output : RESULTS/multigen/run_010
337
+ [05:24:37] ============================================================
multigen/pixart_alpha/run_010/training_args.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-XL-2-512x512",
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+ "revision": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/multigen",
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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": 13200,
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+ "num_train_epochs": 1,
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+ "gradient_accumulation_steps": 1,
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+ "learning_rate": 1e-06,
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+ "scale_lr": false,
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+ "lr_scheduler": "constant",
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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": 1.0,
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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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+ "max_sequence_length": 120,
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+ "dataloader_num_workers": 4,
38
+ "output_dir": "RESULTS/multigen/run_010"
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+ }
multigen/pixart_alpha/run_010/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
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+ "total_steps": 264,
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+ "final_loss": 0.06425339728593826,
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+ "avg_last_100": 0.12665187772829087,
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+ "min_loss": 0.0054102507419884205,
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+ "total_time": "4:04:35"
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+ }
multigen/pixart_alpha/run_010/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-XL-2-512x512",
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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,
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+ "in_channels": 4,
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+ "interpolation_scale": null,
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+ "norm_elementwise_affine": false,
16
+ "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,
26
+ "sample_size": 64,
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+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
multigen/pixart_alpha/run_010/vae/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "AutoencoderKL",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-XL-2-512x512",
5
+ "act_fn": "silu",
6
+ "block_out_channels": [
7
+ 128,
8
+ 256,
9
+ 512,
10
+ 512
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+ ],
12
+ "down_block_types": [
13
+ "DownEncoderBlock2D",
14
+ "DownEncoderBlock2D",
15
+ "DownEncoderBlock2D",
16
+ "DownEncoderBlock2D"
17
+ ],
18
+ "force_upcast": true,
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+ "in_channels": 3,
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+ "latent_channels": 4,
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+ "latents_mean": null,
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+ "latents_std": null,
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+ "layers_per_block": 2,
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+ "mid_block_add_attention": true,
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+ "norm_num_groups": 32,
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+ "out_channels": 3,
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+ "sample_size": 256,
28
+ "scaling_factor": 0.18215,
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+ "shift_factor": null,
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+ "up_block_types": [
31
+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D",
33
+ "UpDecoderBlock2D",
34
+ "UpDecoderBlock2D"
35
+ ],
36
+ "use_post_quant_conv": true,
37
+ "use_quant_conv": true
38
+ }
multigen/sana 1.6/Baseline/training_args.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers",
3
+ "revision": null,
4
+ "variant": null,
5
+ "cache_dir": null,
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+ "data_dir": "../data/multigen",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
9
+ "images_dir": "images",
10
+ "max_captions_per_image": 5,
11
+ "results_root": "RESULTS",
12
+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
16
+ "num_train_epochs": 1,
17
+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
19
+ "learning_rate": 0.0001,
20
+ "scale_lr": false,
21
+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
23
+ "lr_num_cycles": 1,
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+ "optimizer": "AdamW",
25
+ "adam_beta1": 0.9,
26
+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
28
+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 1.0,
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+ "mixed_precision": "bf16",
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+ "allow_tf32": false,
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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,
36
+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
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+ "weighting_scheme": "logit_normal",
39
+ "logit_mean": 0.0,
40
+ "logit_std": 1.0,
41
+ "mode_scale": 1.29,
42
+ "max_sequence_length": 256,
43
+ "dataloader_num_workers": 4,
44
+ "pin_memory": false,
45
+ "output_dir": "RESULTS/multigen/run_003"
46
+ }
multigen/sana 1.6/RAD/checkpoint-10000/transformer/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "SanaTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "Efficient-Large-Model/Sana_1600M_512px_diffusers",
5
+ "attention_bias": false,
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+ "attention_head_dim": 32,
7
+ "caption_channels": 2304,
8
+ "cross_attention_dim": 2240,
9
+ "cross_attention_head_dim": 112,
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+ "dropout": 0.0,
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+ "guidance_embeds": false,
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+ "guidance_embeds_scale": 0.1,
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+ "in_channels": 32,
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+ "interpolation_scale": null,
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+ "mlp_ratio": 2.5,
16
+ "norm_elementwise_affine": false,
17
+ "norm_eps": 1e-06,
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+ "num_attention_heads": 70,
19
+ "num_cross_attention_heads": 20,
20
+ "num_layers": 20,
21
+ "out_channels": 32,
22
+ "patch_size": 1,
23
+ "qk_norm": null,
24
+ "sample_size": 16,
25
+ "timestep_scale": 1.0
26
+ }
multigen/sana 1.6/RAD/model_index.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "SanaPipeline",
3
+ "_diffusers_version": "0.37.1",
4
+ "scheduler": [
5
+ "diffusers",
6
+ "FlowMatchEulerDiscreteScheduler"
7
+ ],
8
+ "text_encoder": [
9
+ "transformers",
10
+ "Gemma2Model"
11
+ ],
12
+ "tokenizer": [
13
+ "transformers",
14
+ "GemmaTokenizer"
15
+ ],
16
+ "transformer": [
17
+ "diffusers",
18
+ "SanaTransformer2DModel"
19
+ ],
20
+ "vae": [
21
+ "diffusers",
22
+ "AutoencoderDC"
23
+ ]
24
+ }
multigen/sana 1.6/RAD/scheduler/scheduler_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "FlowMatchEulerDiscreteScheduler",
3
+ "_diffusers_version": "0.37.1",
4
+ "algorithm_type": "dpmsolver++",
5
+ "base_image_seq_len": 256,
6
+ "base_shift": 0.5,
7
+ "beta_end": 0.02,
8
+ "beta_schedule": "linear",
9
+ "beta_start": 0.0001,
10
+ "dynamic_thresholding_ratio": 0.995,
11
+ "euler_at_final": false,
12
+ "final_sigmas_type": "zero",
13
+ "flow_shift": 3.0,
14
+ "invert_sigmas": false,
15
+ "lambda_min_clipped": -Infinity,
16
+ "lower_order_final": true,
17
+ "max_image_seq_len": 4096,
18
+ "max_shift": 1.15,
19
+ "num_train_timesteps": 1000,
20
+ "prediction_type": "flow_prediction",
21
+ "rescale_betas_zero_snr": false,
22
+ "sample_max_value": 1.0,
23
+ "shift": 1.0,
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+ "shift_terminal": null,
25
+ "solver_order": 2,
26
+ "solver_type": "midpoint",
27
+ "steps_offset": 0,
28
+ "stochastic_sampling": false,
29
+ "thresholding": false,
30
+ "time_shift_type": "exponential",
31
+ "timestep_spacing": "linspace",
32
+ "trained_betas": null,
33
+ "use_beta_sigmas": false,
34
+ "use_dynamic_shifting": false,
35
+ "use_exponential_sigmas": false,
36
+ "use_flow_sigmas": true,
37
+ "use_karras_sigmas": false,
38
+ "use_lu_lambdas": false,
39
+ "variance_type": null
40
+ }
multigen/sana 1.6/RAD/text_encoder/config.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2Model"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": [
12
+ 1,
13
+ 107
14
+ ],
15
+ "final_logit_softcapping": 30.0,
16
+ "head_dim": 256,
17
+ "hidden_act": "gelu_pytorch_tanh",
18
+ "hidden_activation": "gelu_pytorch_tanh",
19
+ "hidden_size": 2304,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 9216,
22
+ "layer_types": [
23
+ "sliding_attention",
24
+ "full_attention",
25
+ "sliding_attention",
26
+ "full_attention",
27
+ "sliding_attention",
28
+ "full_attention",
29
+ "sliding_attention",
30
+ "full_attention",
31
+ "sliding_attention",
32
+ "full_attention",
33
+ "sliding_attention",
34
+ "full_attention",
35
+ "sliding_attention",
36
+ "full_attention",
37
+ "sliding_attention",
38
+ "full_attention",
39
+ "sliding_attention",
40
+ "full_attention",
41
+ "sliding_attention",
42
+ "full_attention",
43
+ "sliding_attention",
44
+ "full_attention",
45
+ "sliding_attention",
46
+ "full_attention",
47
+ "sliding_attention",
48
+ "full_attention"
49
+ ],
50
+ "max_position_embeddings": 8192,
51
+ "model_type": "gemma2",
52
+ "num_attention_heads": 8,
53
+ "num_hidden_layers": 26,
54
+ "num_key_value_heads": 4,
55
+ "pad_token_id": 0,
56
+ "query_pre_attn_scalar": 256,
57
+ "rms_norm_eps": 1e-06,
58
+ "rope_parameters": {
59
+ "rope_theta": 10000.0,
60
+ "rope_type": "default"
61
+ },
62
+ "sliding_window": 4096,
63
+ "tie_word_embeddings": true,
64
+ "transformers_version": "5.9.0",
65
+ "use_bidirectional_attention": null,
66
+ "use_cache": true,
67
+ "vocab_size": 256000
68
+ }
multigen/sana 1.6/RAD/tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
multigen/sana 1.6/RAD/tokenizer/tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<bos>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "<eos>",
6
+ "extra_special_tokens": [
7
+ "<start_of_turn>",
8
+ "<end_of_turn>"
9
+ ],
10
+ "is_local": false,
11
+ "local_files_only": false,
12
+ "mask_token": "<mask>",
13
+ "model_max_length": 1000000000000000019884624838656,
14
+ "pad_token": "<pad>",
15
+ "sp_model_kwargs": {},
16
+ "spaces_between_special_tokens": false,
17
+ "tokenizer_class": "GemmaTokenizer",
18
+ "unk_token": "<unk>",
19
+ "use_default_system_prompt": false
20
+ }
multigen/sana 1.6/RAD/training.log ADDED
@@ -0,0 +1,303 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-07-28 07:03:41
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [07:03:41] Run directory: RESULTS/multigen/run_004
6
+ [07:03:41] cuDNN SDPA disabled -- Flash/math backend for bf16 compatibility
7
+ [07:03:41] AGD: temperature=0.1, curriculum_steps=5000, max_delta=300
8
+ [07:03:41] TAM: enabled=True, alpha=0.9, factor=0.5
9
+ [07:03:41] SAD: enabled=True, temperature=0.5
10
+ [07:03:41] Loading pretrained SANA components ...
11
+ [07:03:51] Transformer params: 1,604,462,752 total, 1,604,462,752 trainable
12
+ [07:03:51] Building dataset ...
13
+ [07:03:51] TAM initialised: 499995 samples tracked.
14
+ [07:03:52]
15
+ [07:03:52] ========================================================================
16
+ [07:03:52] Output dir = RESULTS/multigen/run_004
17
+ [07:03:52] Num examples = 499995
18
+ [07:03:52] Num epochs = 1
19
+ [07:03:52] Batch/device = 8
20
+ [07:03:52] Effective BS = 8
21
+ [07:03:52] Total optim steps = 10000
22
+ [07:03:52] LR = 0.0001
23
+ [07:03:52] Precision = bf16
24
+ [07:03:52] --- AGD Easy-to-Hard Curriculum ---
25
+ [07:03:52] AGD temperature = 0.1
26
+ [07:03:52] Curriculum steps = 5000
27
+ [07:03:52] Max timestep delta = 300
28
+ [07:03:52] --- TAM: Temporal Advantage Memory ---
29
+ [07:03:52] TAM enabled = True
30
+ [07:03:52] TAM alpha (EMA decay) = 0.9
31
+ [07:03:52] TAM factor (modulation)= 0.5
32
+ [07:03:52] TAM log every = 500 steps
33
+ [07:03:52] --- SAD: Spectral Advantage Decomposition ---
34
+ [07:03:52] SAD enabled = True
35
+ [07:03:52] SAD temperature = 0.5
36
+ [07:03:52] ========================================================================
37
+ [07:03:52]
38
+ 50 | 0 | 0.982845 | 0.982845 | 0.942997 | 0.944383 | 0.001386 | 1.0000 | -0.0000 | 3.00 | 1.00e-05 | 0:01:12 | 4:01:05
39
+ 100 | 0 | 1.014934 | 0.998889 | 1.011677 | 1.019942 | 0.008265 | 1.0000 | -0.0000 | 6.00 | 2.00e-05 | 0:02:13 | 3:39:56
40
+ 150 | 0 | 0.872909 | 0.956896 | 0.882895 | 0.865664 | -0.017231 | 1.0000 | -0.0000 | 9.00 | 3.00e-05 | 0:03:13 | 3:31:44
41
+ 200 | 0 | 0.934734 | 0.951355 | 0.913075 | 0.909517 | -0.003558 | 1.0000 | -0.0000 | 12.00 | 4.00e-05 | 0:04:13 | 3:27:16
42
+ 250 | 0 | 0.866643 | 0.934413 | 0.884157 | 0.880720 | -0.003438 | 1.0000 | -0.0000 | 15.00 | 5.00e-05 | 0:05:14 | 3:24:08
43
+ 300 | 0 | 1.011963 | 0.947338 | 1.020102 | 1.020242 | 0.000140 | 1.0000 | -0.0000 | 18.00 | 6.00e-05 | 0:06:14 | 3:21:47
44
+ 350 | 0 | 0.976073 | 0.951443 | 0.950336 | 0.962171 | 0.011835 | 1.0000 | -0.0000 | 21.00 | 7.00e-05 | 0:07:14 | 3:19:48
45
+ 400 | 0 | 0.882331 | 0.942804 | 0.898546 | 0.900496 | 0.001949 | 1.0000 | -0.0000 | 24.00 | 8.00e-05 | 0:08:15 | 3:18:10
46
+ 450 | 0 | 0.829589 | 0.930224 | 0.819164 | 0.805906 | -0.013257 | 1.0000 | -0.0000 | 27.00 | 9.00e-05 | 0:09:15 | 3:16:33
47
+ 500 | 0 | 0.851134 | 0.922315 | 0.863638 | 0.855237 | -0.008401 | 1.0000 | -0.0000 | 30.00 | 1.00e-04 | 0:10:16 | 3:15:07
48
+ [07:13:57] [TAM stats @ step 500] mean=-0.0000 std=0.0003 max=0.0298 min=-0.0272 visits=4000
49
+ 550 | 0 | 1.007818 | 0.930088 | 0.985253 | 0.990121 | 0.004868 | 1.0000 | -0.0000 | 33.00 | 1.00e-04 | 0:11:16 | 3:13:43
50
+ 600 | 0 | 0.875469 | 0.925537 | 0.910986 | 0.903542 | -0.007444 | 1.0000 | -0.0000 | 36.00 | 1.00e-04 | 0:12:16 | 3:12:25
51
+ 650 | 0 | 0.876132 | 0.921736 | 0.889000 | 0.855460 | -0.033540 | 1.0000 | -0.0000 | 39.00 | 1.00e-04 | 0:13:17 | 3:11:11
52
+ 700 | 0 | 0.819715 | 0.914449 | 0.847287 | 0.838925 | -0.008363 | 1.0000 | -0.0000 | 42.00 | 1.00e-04 | 0:14:18 | 3:10:00
53
+ 750 | 0 | 0.893521 | 0.913054 | 0.894848 | 0.883944 | -0.010904 | 1.0000 | -0.0000 | 45.00 | 1.00e-04 | 0:15:18 | 3:08:47
54
+ 800 | 0 | 0.802127 | 0.906121 | 0.861058 | 0.834851 | -0.026207 | 1.0000 | -0.0000 | 48.00 | 1.00e-04 | 0:16:18 | 3:07:37
55
+ 850 | 0 | 0.870311 | 0.904015 | 0.907633 | 0.909971 | 0.002339 | 1.0000 | -0.0000 | 51.00 | 1.00e-04 | 0:17:19 | 3:06:28
56
+ 900 | 0 | 0.885158 | 0.902967 | 0.928652 | 0.909331 | -0.019321 | 1.0000 | -0.0000 | 54.00 | 1.00e-04 | 0:18:19 | 3:05:18
57
+ 950 | 0 | 0.922736 | 0.904007 | 0.960234 | 0.913686 | -0.046547 | 1.0000 | -0.0000 | 57.00 | 1.00e-04 | 0:19:20 | 3:04:12
58
+ 1000 | 0 | 0.841557 | 0.900885 | 0.847267 | 0.845744 | -0.001523 | 1.0000 | -0.0000 | 60.00 | 1.00e-04 | 0:20:20 | 3:03:06
59
+ [07:24:02] [TAM stats @ step 1000] mean=-0.0000 std=0.0005 max=0.1068 min=-0.0272 visits=8000
60
+ [07:24:02] Generating 16 validation images ...
61
+ [07:24:16] Validation at step 1000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0001000.png
62
+ 1050 | 0 | 0.807061 | 0.896417 | 0.797931 | 0.778812 | -0.019118 | 1.0000 | -0.0000 | 63.00 | 1.00e-04 | 0:21:35 | 3:04:04
63
+ 1100 | 0 | 0.860932 | 0.894804 | 0.886112 | 0.852063 | -0.034049 | 1.0000 | -0.0000 | 66.00 | 1.00e-04 | 0:22:35 | 3:02:50
64
+ 1150 | 0 | 0.756960 | 0.888811 | 0.747249 | 0.771769 | 0.024520 | 1.0000 | -0.0000 | 69.00 | 1.00e-04 | 0:23:36 | 3:01:38
65
+ 1200 | 0 | 0.956074 | 0.891614 | 0.938843 | 0.948824 | 0.009981 | 1.0000 | -0.0000 | 72.00 | 1.00e-04 | 0:24:36 | 3:00:31
66
+ 1250 | 0 | 0.831037 | 0.889191 | 0.831678 | 0.821264 | -0.010414 | 1.0000 | -0.0000 | 75.00 | 1.00e-04 | 0:25:37 | 2:59:20
67
+ 1300 | 0 | 0.898537 | 0.889550 | 0.926190 | 0.886694 | -0.039496 | 1.0000 | -0.0000 | 78.00 | 1.00e-04 | 0:26:37 | 2:58:10
68
+ 1350 | 0 | 0.861411 | 0.888508 | 0.886404 | 0.874238 | -0.012166 | 1.0000 | -0.0000 | 81.00 | 1.00e-04 | 0:27:37 | 2:57:02
69
+ 1400 | 0 | 0.823982 | 0.886203 | 0.800924 | 0.797361 | -0.003563 | 1.0000 | -0.0000 | 84.00 | 1.00e-04 | 0:28:38 | 2:55:54
70
+ 1450 | 0 | 0.782476 | 0.882627 | 0.787834 | 0.777220 | -0.010614 | 1.0000 | -0.0000 | 87.00 | 1.00e-04 | 0:29:38 | 2:54:48
71
+ 1500 | 0 | 0.764045 | 0.878674 | 0.822357 | 0.787080 | -0.035276 | 1.0000 | -0.0000 | 90.00 | 1.00e-04 | 0:30:39 | 2:53:42
72
+ [07:34:21] [TAM stats @ step 1500] mean=-0.0000 std=0.0008 max=0.1068 min=-0.0272 visits=12000
73
+ 1550 | 0 | 0.841907 | 0.877488 | 0.912628 | 0.876772 | -0.035856 | 1.0000 | -0.0000 | 93.00 | 1.00e-04 | 0:31:39 | 2:52:37
74
+ 1600 | 0 | 0.875138 | 0.877414 | 0.894445 | 0.899714 | 0.005269 | 1.0000 | -0.0000 | 96.00 | 1.00e-04 | 0:32:40 | 2:51:32
75
+ 1650 | 0 | 0.892338 | 0.877867 | 0.878723 | 0.834895 | -0.043828 | 1.0000 | -0.0000 | 99.00 | 1.00e-04 | 0:33:41 | 2:50:28
76
+ 1700 | 0 | 0.853276 | 0.877143 | 0.769700 | 0.751118 | -0.018583 | 1.0000 | -0.0000 | 102.00 | 1.00e-04 | 0:34:41 | 2:49:22
77
+ 1750 | 0 | 0.899037 | 0.877769 | 0.910555 | 0.882537 | -0.028018 | 1.0000 | -0.0000 | 105.00 | 1.00e-04 | 0:35:42 | 2:48:19
78
+ 1800 | 0 | 0.898917 | 0.878356 | 0.972899 | 0.914621 | -0.058278 | 1.0000 | -0.0000 | 108.00 | 1.00e-04 | 0:36:42 | 2:47:14
79
+ 1850 | 0 | 0.952735 | 0.880367 | 0.897732 | 0.916846 | 0.019115 | 1.0000 | -0.0000 | 111.00 | 1.00e-04 | 0:37:43 | 2:46:11
80
+ 1900 | 0 | 0.911331 | 0.881181 | 0.932630 | 0.876886 | -0.055743 | 1.0000 | -0.0000 | 114.00 | 1.00e-04 | 0:38:44 | 2:45:07
81
+ 1950 | 0 | 0.877056 | 0.881076 | 0.965464 | 0.912312 | -0.053152 | 1.0000 | -0.0001 | 117.00 | 1.00e-04 | 0:39:44 | 2:44:04
82
+ 2000 | 0 | 0.984224 | 0.883654 | 0.976742 | 0.967926 | -0.008815 | 1.0000 | -0.0001 | 120.00 | 1.00e-04 | 0:40:45 | 2:43:00
83
+ [07:44:26] [TAM stats @ step 2000] mean=-0.0001 std=0.0011 max=0.1558 min=-0.0272 visits=16000
84
+ [07:44:42] Saved checkpoint -> RESULTS/multigen/run_004/checkpoint-2000
85
+ [07:44:42] Generating 16 validation images ...
86
+ [07:44:55] Validation at step 2000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0002000.png
87
+ 2050 | 0 | 0.835063 | 0.882469 | 0.819032 | 0.813497 | -0.005535 | 1.0000 | -0.0001 | 123.00 | 1.00e-04 | 0:42:14 | 2:43:49
88
+ 2100 | 0 | 0.862427 | 0.881992 | 0.949734 | 0.888510 | -0.061225 | 1.0000 | -0.0001 | 126.00 | 1.00e-04 | 0:43:14 | 2:42:41
89
+ 2150 | 0 | 0.760920 | 0.879176 | 0.818101 | 0.768975 | -0.049126 | 1.0000 | -0.0001 | 129.00 | 1.00e-04 | 0:44:15 | 2:41:34
90
+ 2200 | 0 | 0.961201 | 0.881041 | 0.938437 | 0.924781 | -0.013656 | 1.0000 | -0.0001 | 132.00 | 1.00e-04 | 0:45:15 | 2:40:27
91
+ 2250 | 0 | 1.021062 | 0.884152 | 0.945770 | 0.961917 | 0.016148 | 1.0000 | -0.0001 | 135.00 | 1.00e-04 | 0:46:15 | 2:39:21
92
+ 2300 | 0 | 0.928913 | 0.885125 | 0.870538 | 0.861019 | -0.009519 | 1.0000 | -0.0001 | 138.00 | 1.00e-04 | 0:47:16 | 2:38:14
93
+ 2350 | 0 | 0.850353 | 0.884385 | 0.909984 | 0.853788 | -0.056197 | 1.0000 | -0.0001 | 141.00 | 1.00e-04 | 0:48:16 | 2:37:09
94
+ 2400 | 0 | 0.838453 | 0.883428 | 0.805918 | 0.735042 | -0.070876 | 1.0000 | -0.0001 | 144.00 | 1.00e-04 | 0:49:16 | 2:36:03
95
+ 2450 | 0 | 0.660531 | 0.878880 | 0.763541 | 0.723341 | -0.040201 | 1.0000 | -0.0001 | 147.00 | 1.00e-04 | 0:50:17 | 2:34:58
96
+ 2500 | 0 | 0.878440 | 0.878871 | 0.858820 | 0.816135 | -0.042685 | 1.0000 | -0.0001 | 150.00 | 1.00e-04 | 0:51:17 | 2:33:53
97
+ [07:54:59] [TAM stats @ step 2500] mean=-0.0001 std=0.0014 max=0.1558 min=-0.0272 visits=20000
98
+ 2550 | 0 | 0.805364 | 0.877429 | 0.846984 | 0.819357 | -0.027628 | 1.0000 | -0.0001 | 153.00 | 1.00e-04 | 0:52:18 | 2:32:48
99
+ 2600 | 0 | 0.763654 | 0.875241 | 0.877080 | 0.794047 | -0.083033 | 1.0000 | -0.0001 | 156.00 | 1.00e-04 | 0:53:18 | 2:31:43
100
+ 2650 | 0 | 0.811996 | 0.874048 | 0.859111 | 0.786888 | -0.072223 | 1.0000 | -0.0001 | 159.00 | 1.00e-04 | 0:54:19 | 2:30:39
101
+ 2700 | 0 | 0.797619 | 0.872633 | 0.901594 | 0.849149 | -0.052444 | 1.0000 | -0.0001 | 162.00 | 1.00e-04 | 0:55:19 | 2:29:35
102
+ 2750 | 0 | 0.965229 | 0.874316 | 0.881849 | 0.845234 | -0.036616 | 1.0000 | -0.0001 | 165.00 | 1.00e-04 | 0:56:20 | 2:28:31
103
+ 2800 | 0 | 0.752371 | 0.872139 | 0.800482 | 0.790341 | -0.010142 | 1.0000 | -0.0001 | 168.00 | 1.00e-04 | 0:57:20 | 2:27:27
104
+ 2850 | 0 | 0.782097 | 0.870559 | 0.829684 | 0.801989 | -0.027695 | 1.0000 | -0.0001 | 171.00 | 1.00e-04 | 0:58:21 | 2:26:24
105
+ 2900 | 0 | 0.880626 | 0.870733 | 0.850849 | 0.831477 | -0.019372 | 1.0000 | -0.0001 | 174.00 | 1.00e-04 | 0:59:22 | 2:25:21
106
+ 2950 | 0 | 0.774578 | 0.869103 | 0.833243 | 0.804495 | -0.028748 | 1.0000 | -0.0001 | 177.00 | 1.00e-04 | 1:00:22 | 2:24:18
107
+ 3000 | 0 | 0.851933 | 0.868817 | 0.895831 | 0.858500 | -0.037332 | 1.0000 | -0.0001 | 180.00 | 1.00e-04 | 1:01:23 | 2:23:14
108
+ [08:05:05] [TAM stats @ step 3000] mean=-0.0001 std=0.0018 max=0.1558 min=-0.0272 visits=24000
109
+ [08:05:05] Generating 16 validation images ...
110
+ [08:05:19] Validation at step 3000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0003000.png
111
+ 3050 | 0 | 0.692794 | 0.865931 | 0.772404 | 0.725681 | -0.046722 | 1.0000 | -0.0001 | 183.00 | 1.00e-04 | 1:02:38 | 2:22:43
112
+ 3100 | 0 | 0.866921 | 0.865947 | 0.907169 | 0.803504 | -0.103664 | 1.0000 | -0.0001 | 186.00 | 1.00e-04 | 1:03:38 | 2:21:39
113
+ 3150 | 0 | 0.805931 | 0.864994 | 0.913361 | 0.801908 | -0.111453 | 1.0000 | -0.0001 | 189.00 | 1.00e-04 | 1:04:39 | 2:20:35
114
+ 3200 | 0 | 0.875456 | 0.865158 | 0.874490 | 0.834558 | -0.039932 | 1.0000 | -0.0001 | 192.00 | 1.00e-04 | 1:05:39 | 2:19:31
115
+ 3250 | 0 | 0.885589 | 0.865472 | 0.927935 | 0.869669 | -0.058267 | 1.0000 | -0.0001 | 195.00 | 1.00e-04 | 1:06:40 | 2:18:27
116
+ 3300 | 0 | 0.974131 | 0.867119 | 0.866556 | 0.878045 | 0.011489 | 1.0000 | -0.0001 | 198.00 | 1.00e-04 | 1:07:40 | 2:17:24
117
+ 3350 | 0 | 0.954346 | 0.868420 | 0.830893 | 0.837476 | 0.006583 | 1.0000 | -0.0001 | 201.00 | 1.00e-04 | 1:08:40 | 2:16:20
118
+ 3400 | 0 | 0.856998 | 0.868253 | 0.832877 | 0.828831 | -0.004046 | 1.0000 | -0.0001 | 204.00 | 1.00e-04 | 1:09:41 | 2:15:16
119
+ 3450 | 0 | 0.888472 | 0.868546 | 0.842853 | 0.818479 | -0.024374 | 1.0000 | -0.0001 | 207.00 | 1.00e-04 | 1:10:41 | 2:14:13
120
+ 3500 | 0 | 0.845537 | 0.868217 | 0.924867 | 0.867586 | -0.057281 | 1.0000 | -0.0001 | 210.00 | 1.00e-04 | 1:11:42 | 2:13:10
121
+ [08:15:24] [TAM stats @ step 3500] mean=-0.0001 std=0.0022 max=0.1558 min=-0.0345 visits=28000
122
+ 3550 | 0 | 0.922548 | 0.868982 | 0.932813 | 0.842142 | -0.090670 | 1.0000 | -0.0002 | 213.00 | 1.00e-04 | 1:12:42 | 2:12:06
123
+ 3600 | 0 | 0.830864 | 0.868453 | 0.868715 | 0.822085 | -0.046630 | 1.0000 | -0.0002 | 216.00 | 1.00e-04 | 1:13:43 | 2:11:03
124
+ 3650 | 0 | 0.800769 | 0.867525 | 0.912801 | 0.792605 | -0.120196 | 1.0000 | -0.0002 | 219.00 | 1.00e-04 | 1:14:43 | 2:10:00
125
+ 3700 | 0 | 1.076770 | 0.870353 | 0.782777 | 0.838938 | 0.056161 | 1.0000 | -0.0002 | 222.00 | 1.00e-04 | 1:15:44 | 2:08:57
126
+ 3750 | 0 | 0.762042 | 0.868909 | 0.743360 | 0.703211 | -0.040148 | 1.0000 | -0.0002 | 225.00 | 1.00e-04 | 1:16:44 | 2:07:54
127
+ 3800 | 0 | 0.872093 | 0.868951 | 0.879728 | 0.829883 | -0.049845 | 1.0000 | -0.0002 | 228.00 | 1.00e-04 | 1:17:45 | 2:06:52
128
+ 3850 | 0 | 0.926814 | 0.869702 | 0.881860 | 0.894700 | 0.012840 | 1.0000 | -0.0002 | 231.00 | 1.00e-04 | 1:18:45 | 2:05:49
129
+ 3900 | 0 | 0.751317 | 0.868185 | 0.792102 | 0.679641 | -0.112461 | 1.0000 | -0.0002 | 234.00 | 1.00e-04 | 1:19:46 | 2:04:46
130
+ 3950 | 0 | 0.869873 | 0.868206 | 0.811721 | 0.864293 | 0.052571 | 1.0000 | -0.0002 | 237.00 | 1.00e-04 | 1:20:46 | 2:03:43
131
+ 4000 | 0 | 1.065200 | 0.870668 | 0.920475 | 0.888594 | -0.031881 | 1.0000 | -0.0002 | 240.00 | 1.00e-04 | 1:21:46 | 2:02:40
132
+ [08:25:28] [TAM stats @ step 4000] mean=-0.0002 std=0.0025 max=0.1558 min=-0.0366 visits=32000
133
+ [08:25:44] Saved checkpoint -> RESULTS/multigen/run_004/checkpoint-4000
134
+ [08:25:44] Generating 16 validation images ...
135
+ [08:25:58] Validation at step 4000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0004000.png
136
+ 4050 | 0 | 0.890589 | 0.870914 | 0.842501 | 0.855286 | 0.012786 | 1.0000 | -0.0002 | 243.00 | 1.00e-04 | 1:23:16 | 2:02:20
137
+ 4100 | 0 | 1.057037 | 0.873184 | 0.841350 | 0.787963 | -0.053386 | 1.0000 | -0.0002 | 246.00 | 1.00e-04 | 1:24:16 | 2:01:17
138
+ 4150 | 0 | 0.844570 | 0.872839 | 0.813841 | 0.864723 | 0.050883 | 1.0000 | -0.0002 | 249.00 | 1.00e-04 | 1:25:17 | 2:00:13
139
+ 4200 | 0 | 1.019298 | 0.874583 | 0.821563 | 0.751969 | -0.069594 | 1.0000 | -0.0002 | 252.00 | 1.00e-04 | 1:26:18 | 1:59:10
140
+ 4250 | 0 | 0.815921 | 0.873893 | 0.993131 | 0.854173 | -0.138958 | 1.0000 | -0.0002 | 255.00 | 1.00e-04 | 1:27:18 | 1:58:07
141
+ 4300 | 0 | 1.255884 | 0.878335 | 0.828250 | 0.913962 | 0.085712 | 1.0000 | -0.0002 | 258.00 | 1.00e-04 | 1:28:19 | 1:57:04
142
+ 4350 | 0 | 1.078593 | 0.880636 | 0.860990 | 0.753375 | -0.107616 | 1.0000 | -0.0002 | 261.00 | 1.00e-04 | 1:29:19 | 1:56:00
143
+ 4400 | 0 | 0.847656 | 0.880262 | 0.935025 | 0.829711 | -0.105314 | 1.0000 | -0.0002 | 264.00 | 1.00e-04 | 1:30:19 | 1:54:57
144
+ 4450 | 0 | 0.916857 | 0.880673 | 0.827274 | 0.818972 | -0.008302 | 1.0000 | -0.0002 | 267.00 | 1.00e-04 | 1:31:19 | 1:53:54
145
+ 4500 | 0 | 0.852423 | 0.880359 | 0.873520 | 0.826015 | -0.047505 | 1.0000 | -0.0002 | 270.00 | 1.00e-04 | 1:32:20 | 1:52:51
146
+ [08:36:02] [TAM stats @ step 4500] mean=-0.0002 std=0.0030 max=0.2208 min=-0.0368 visits=36000
147
+ 4550 | 0 | 0.899799 | 0.880573 | 0.908705 | 0.781415 | -0.127289 | 1.0000 | -0.0002 | 273.00 | 1.00e-04 | 1:33:20 | 1:51:48
148
+ 4600 | 0 | 0.860649 | 0.880356 | 0.847156 | 0.815590 | -0.031566 | 1.0000 | -0.0002 | 276.00 | 1.00e-04 | 1:34:21 | 1:50:45
149
+ 4650 | 0 | 0.912960 | 0.880707 | 0.888766 | 0.854581 | -0.034184 | 1.0000 | -0.0002 | 279.00 | 1.00e-04 | 1:35:21 | 1:49:43
150
+ 4700 | 0 | 0.707188 | 0.878861 | 0.801671 | 0.695815 | -0.105857 | 1.0000 | -0.0002 | 282.00 | 1.00e-04 | 1:36:22 | 1:48:40
151
+ 4750 | 0 | 0.997923 | 0.880114 | 0.912571 | 0.874601 | -0.037970 | 1.0000 | -0.0002 | 285.00 | 1.00e-04 | 1:37:22 | 1:47:37
152
+ 4800 | 0 | 0.791162 | 0.879187 | 0.763996 | 0.773563 | 0.009567 | 1.0000 | -0.0003 | 288.00 | 1.00e-04 | 1:38:23 | 1:46:35
153
+ 4850 | 0 | 1.292096 | 0.883444 | 0.895838 | 0.914010 | 0.018173 | 1.0000 | -0.0003 | 291.00 | 1.00e-04 | 1:39:24 | 1:45:33
154
+ 4900 | 0 | 0.932062 | 0.883940 | 0.915966 | 0.895200 | -0.020767 | 1.0000 | -0.0003 | 294.00 | 1.00e-04 | 1:40:24 | 1:44:30
155
+ 4950 | 0 | 1.045758 | 0.885575 | 0.842284 | 0.832392 | -0.009892 | 1.0000 | -0.0003 | 297.00 | 1.00e-04 | 1:41:25 | 1:43:28
156
+ 5000 | 0 | 0.831056 | 0.885030 | 0.851462 | 0.785730 | -0.065732 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:42:25 | 1:42:25
157
+ [08:46:07] [TAM stats @ step 5000] mean=-0.0003 std=0.0034 max=0.2208 min=-0.0430 visits=40000
158
+ [08:46:07] Generating 16 validation images ...
159
+ [08:46:21] Validation at step 5000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0005000.png
160
+ 5050 | 0 | 0.741493 | 0.882616 | 0.882233 | 0.846722 | -0.035511 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:43:40 | 1:41:37
161
+ 5100 | 0 | 1.274793 | 0.885215 | 0.837592 | 0.930973 | 0.093382 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:44:40 | 1:40:34
162
+ 5150 | 0 | 0.867423 | 0.885160 | 0.943459 | 0.840349 | -0.103109 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:45:40 | 1:39:31
163
+ 5200 | 0 | 0.919115 | 0.885004 | 0.834474 | 0.862205 | 0.027731 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:46:41 | 1:38:29
164
+ 5250 | 0 | 0.937576 | 0.885713 | 0.869397 | 0.840985 | -0.028412 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:47:41 | 1:37:26
165
+ 5300 | 0 | 0.913248 | 0.884726 | 0.894029 | 0.855297 | -0.038733 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:48:42 | 1:36:23
166
+ 5350 | 0 | 0.926600 | 0.884231 | 0.918437 | 0.896792 | -0.021645 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:49:42 | 1:35:21
167
+ 5400 | 0 | 0.827691 | 0.883685 | 0.915701 | 0.799078 | -0.116623 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:50:43 | 1:34:18
168
+ 5450 | 0 | 1.051323 | 0.885902 | 0.916088 | 0.853736 | -0.062352 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:51:43 | 1:33:16
169
+ 5500 | 0 | 0.874348 | 0.886134 | 0.869445 | 0.846587 | -0.022858 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:52:43 | 1:32:14
170
+ [08:56:25] [TAM stats @ step 5500] mean=-0.0003 std=0.0036 max=0.2208 min=-0.0442 visits=44000
171
+ 5550 | 0 | 0.668516 | 0.882741 | 0.857507 | 0.792752 | -0.064755 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:53:44 | 1:31:11
172
+ 5600 | 0 | 0.788323 | 0.881870 | 0.835523 | 0.786779 | -0.048744 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:54:44 | 1:30:09
173
+ 5650 | 0 | 1.048645 | 0.883595 | 0.835169 | 0.907020 | 0.071851 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:55:45 | 1:29:07
174
+ 5700 | 0 | 0.912593 | 0.884523 | 0.945403 | 0.855813 | -0.089589 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:56:46 | 1:28:05
175
+ 5750 | 0 | 0.984210 | 0.885430 | 0.998540 | 0.985681 | -0.012859 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:57:46 | 1:27:03
176
+ 5800 | 0 | 0.830149 | 0.885711 | 0.815819 | 0.826114 | 0.010295 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:58:47 | 1:26:00
177
+ 5850 | 0 | 0.920060 | 0.886208 | 0.973061 | 0.917732 | -0.055329 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 1:59:47 | 1:24:59
178
+ 5900 | 0 | 0.831301 | 0.885670 | 0.912484 | 0.863553 | -0.048931 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:00:48 | 1:23:57
179
+ 5950 | 0 | 0.874032 | 0.885182 | 0.906228 | 0.820498 | -0.085729 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:01:49 | 1:22:55
180
+ 6000 | 0 | 0.731509 | 0.884082 | 0.782733 | 0.759914 | -0.022819 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:02:49 | 1:21:53
181
+ [09:06:31] [TAM stats @ step 6000] mean=-0.0003 std=0.0037 max=0.2208 min=-0.0442 visits=48000
182
+ [09:06:46] Saved checkpoint -> RESULTS/multigen/run_004/checkpoint-6000
183
+ [09:06:46] Generating 16 validation images ...
184
+ [09:07:00] Validation at step 6000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0006000.png
185
+ 6050 | 0 | 0.973251 | 0.885744 | 0.822174 | 0.874317 | 0.052143 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:04:19 | 1:21:10
186
+ 6100 | 0 | 0.881435 | 0.885949 | 0.857145 | 0.845434 | -0.011710 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:05:20 | 1:20:07
187
+ 6150 | 0 | 0.879354 | 0.887173 | 0.897602 | 0.870678 | -0.026924 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:06:20 | 1:19:05
188
+ 6200 | 0 | 0.865603 | 0.886268 | 0.871769 | 0.837728 | -0.034041 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:07:21 | 1:18:03
189
+ 6250 | 0 | 0.924490 | 0.887203 | 0.935980 | 0.913423 | -0.022557 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:08:21 | 1:17:01
190
+ 6300 | 0 | 0.992446 | 0.888142 | 0.951326 | 0.914671 | -0.036655 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:09:22 | 1:15:58
191
+ 6350 | 0 | 0.888927 | 0.888417 | 0.820917 | 0.823655 | 0.002738 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:10:23 | 1:14:56
192
+ 6400 | 0 | 1.300678 | 0.893184 | 0.899335 | 0.926140 | 0.026805 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:11:24 | 1:13:54
193
+ 6450 | 0 | 0.856389 | 0.893923 | 0.794756 | 0.800082 | 0.005326 | 1.0000 | -0.0003 | 300.00 | 1.00e-04 | 2:12:24 | 1:12:52
194
+ 6500 | 0 | 0.855057 | 0.894833 | 0.804536 | 0.836165 | 0.031629 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:13:25 | 1:11:50
195
+ [09:17:07] [TAM stats @ step 6500] mean=-0.0004 std=0.0039 max=0.2208 min=-0.0442 visits=52000
196
+ 6550 | 0 | 0.808164 | 0.894496 | 0.846039 | 0.839934 | -0.006105 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:14:26 | 1:10:48
197
+ 6600 | 0 | 0.855759 | 0.894302 | 0.879982 | 0.858767 | -0.021214 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:15:26 | 1:09:46
198
+ 6650 | 0 | 1.039533 | 0.895774 | 0.908699 | 0.877768 | -0.030931 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:16:27 | 1:08:44
199
+ 6700 | 0 | 1.252349 | 0.899765 | 0.900264 | 1.053727 | 0.153463 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:17:28 | 1:07:42
200
+ 6750 | 0 | 0.934356 | 0.900118 | 0.774769 | 0.830787 | 0.056017 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:18:28 | 1:06:40
201
+ 6800 | 0 | 1.052400 | 0.901653 | 0.922074 | 0.927375 | 0.005301 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:19:29 | 1:05:38
202
+ 6850 | 0 | 1.051229 | 0.902638 | 0.860937 | 0.935622 | 0.074685 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:20:29 | 1:04:36
203
+ 6900 | 0 | 0.813447 | 0.901659 | 0.801534 | 0.783349 | -0.018185 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:21:30 | 1:03:34
204
+ 6950 | 0 | 0.865109 | 0.901539 | 0.856675 | 0.851705 | -0.004971 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:22:30 | 1:02:32
205
+ 7000 | 0 | 0.892040 | 0.900617 | 0.865541 | 0.840905 | -0.024635 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:23:31 | 1:01:30
206
+ [09:27:13] [TAM stats @ step 7000] mean=-0.0004 std=0.0040 max=0.2208 min=-0.0499 visits=56000
207
+ [09:27:13] Generating 16 validation images ...
208
+ [09:27:27] Validation at step 7000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0007000.png
209
+ 7050 | 0 | 0.890081 | 0.901168 | 0.908248 | 0.882286 | -0.025962 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:24:45 | 1:00:34
210
+ 7100 | 0 | 0.870970 | 0.901253 | 0.849614 | 0.847322 | -0.002292 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:25:46 | 0:59:32
211
+ 7150 | 0 | 0.806671 | 0.901711 | 0.869129 | 0.821313 | -0.047816 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:26:47 | 0:58:30
212
+ 7200 | 0 | 0.809287 | 0.900191 | 0.854739 | 0.758525 | -0.096214 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:27:47 | 0:57:28
213
+ 7250 | 0 | 0.876125 | 0.898742 | 0.891861 | 0.865444 | -0.026416 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:28:48 | 0:56:26
214
+ 7300 | 0 | 0.948005 | 0.898933 | 0.955277 | 0.864959 | -0.090318 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:29:48 | 0:55:24
215
+ 7350 | 0 | 0.969542 | 0.900125 | 0.852028 | 0.914110 | 0.062082 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:30:49 | 0:54:22
216
+ 7400 | 0 | 0.806336 | 0.899804 | 0.874152 | 0.833202 | -0.040950 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:31:50 | 0:53:20
217
+ 7450 | 0 | 1.266776 | 0.905866 | 0.896780 | 0.809437 | -0.087344 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:32:50 | 0:52:18
218
+ 7500 | 0 | 1.007367 | 0.907155 | 0.962916 | 0.921314 | -0.041602 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:33:51 | 0:51:17
219
+ [09:37:32] [TAM stats @ step 7500] mean=-0.0004 std=0.0041 max=0.2208 min=-0.0499 visits=60000
220
+ 7550 | 0 | 0.750106 | 0.906603 | 0.762518 | 0.719072 | -0.043445 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:34:51 | 0:50:15
221
+ 7600 | 0 | 0.974111 | 0.908707 | 0.943860 | 0.849248 | -0.094612 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:35:52 | 0:49:13
222
+ 7650 | 0 | 0.775922 | 0.908347 | 0.808599 | 0.807622 | -0.000976 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:36:53 | 0:48:11
223
+ 7700 | 0 | 0.929868 | 0.909669 | 0.958699 | 0.933288 | -0.025411 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:37:53 | 0:47:09
224
+ 7750 | 0 | 0.777688 | 0.907794 | 0.788870 | 0.756649 | -0.032221 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:38:54 | 0:46:08
225
+ 7800 | 0 | 0.921982 | 0.909490 | 0.846569 | 0.855080 | 0.008511 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:39:55 | 0:45:06
226
+ 7850 | 0 | 0.873474 | 0.910404 | 0.927830 | 0.881375 | -0.046454 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:40:55 | 0:44:04
227
+ 7900 | 0 | 0.832841 | 0.909926 | 0.855873 | 0.850871 | -0.005003 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:41:56 | 0:43:02
228
+ 7950 | 0 | 0.889202 | 0.911072 | 0.936450 | 0.933140 | -0.003310 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:42:57 | 0:42:01
229
+ 8000 | 0 | 0.786655 | 0.910419 | 0.819453 | 0.802368 | -0.017085 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:43:57 | 0:40:59
230
+ [09:47:39] [TAM stats @ step 8000] mean=-0.0004 std=0.0043 max=0.2208 min=-0.0499 visits=64000
231
+ [09:47:54] Saved checkpoint -> RESULTS/multigen/run_004/checkpoint-8000
232
+ [09:47:56] Removed old checkpoint: checkpoint-2000
233
+ [09:47:56] Generating 16 validation images ...
234
+ [09:48:10] Validation at step 8000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0008000.png
235
+ 8050 | 0 | 0.888139 | 0.912373 | 0.861652 | 0.776380 | -0.085272 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:45:29 | 0:40:05
236
+ 8100 | 0 | 0.750125 | 0.911205 | 0.803420 | 0.803372 | -0.000048 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:46:29 | 0:39:03
237
+ 8150 | 0 | 0.879423 | 0.911940 | 0.919582 | 0.891241 | -0.028341 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:47:30 | 0:38:01
238
+ 8200 | 0 | 0.840616 | 0.911591 | 0.895340 | 0.831861 | -0.063480 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:48:30 | 0:36:59
239
+ 8250 | 0 | 0.780272 | 0.910538 | 0.809365 | 0.787427 | -0.021938 | 1.0000 | -0.0004 | 300.00 | 1.00e-04 | 2:49:30 | 0:35:57
240
+ 8300 | 0 | 0.776795 | 0.908565 | 0.821893 | 0.804714 | -0.017179 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:50:31 | 0:34:55
241
+ 8350 | 0 | 0.859370 | 0.907615 | 0.907632 | 0.828455 | -0.079177 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:51:31 | 0:33:53
242
+ 8400 | 0 | 0.919843 | 0.908243 | 0.934244 | 0.937288 | 0.003043 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:52:32 | 0:32:51
243
+ 8450 | 0 | 0.938454 | 0.908743 | 0.862129 | 0.870150 | 0.008021 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:53:32 | 0:31:50
244
+ 8500 | 0 | 0.954980 | 0.909838 | 0.899246 | 0.897493 | -0.001754 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:54:33 | 0:30:48
245
+ [09:58:14] [TAM stats @ step 8500] mean=-0.0005 std=0.0044 max=0.2208 min=-0.0499 visits=68000
246
+ 8550 | 0 | 0.811495 | 0.908727 | 0.900469 | 0.843394 | -0.057075 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:55:33 | 0:29:46
247
+ 8600 | 0 | 0.961514 | 0.910034 | 0.851545 | 0.850005 | -0.001540 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:56:34 | 0:28:44
248
+ 8650 | 0 | 0.792688 | 0.909953 | 0.846012 | 0.821259 | -0.024753 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:57:34 | 0:27:42
249
+ 8700 | 0 | 0.811915 | 0.907304 | 0.827106 | 0.809500 | -0.017606 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:58:34 | 0:26:41
250
+ 8750 | 0 | 0.912446 | 0.908808 | 0.944588 | 0.940888 | -0.003701 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 2:59:35 | 0:25:39
251
+ 8800 | 0 | 0.817407 | 0.908261 | 0.820608 | 0.822805 | 0.002197 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:00:35 | 0:24:37
252
+ 8850 | 0 | 0.807272 | 0.907066 | 0.829488 | 0.817933 | -0.011554 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:01:36 | 0:23:35
253
+ 8900 | 0 | 0.936638 | 0.908919 | 0.992861 | 0.846630 | -0.146231 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:02:36 | 0:22:34
254
+ 8950 | 0 | 0.879125 | 0.909012 | 0.916854 | 0.919457 | 0.002603 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:03:37 | 0:21:32
255
+ 9000 | 0 | 0.870469 | 0.907064 | 0.884521 | 0.788129 | -0.096393 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:04:37 | 0:20:30
256
+ [10:08:18] [TAM stats @ step 9000] mean=-0.0005 std=0.0045 max=0.2208 min=-0.0499 visits=72000
257
+ [10:08:18] Generating 16 validation images ...
258
+ [10:08:32] Validation at step 9000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0009000.png
259
+ 9050 | 0 | 0.872501 | 0.906884 | 0.883366 | 0.814275 | -0.069091 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:05:51 | 0:19:30
260
+ 9100 | 0 | 0.786197 | 0.904175 | 0.837226 | 0.802439 | -0.034787 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:06:51 | 0:18:28
261
+ 9150 | 0 | 0.916294 | 0.904892 | 0.934765 | 0.876776 | -0.057989 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:07:52 | 0:17:27
262
+ 9200 | 0 | 0.798321 | 0.902683 | 0.837942 | 0.795097 | -0.042845 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:08:52 | 0:16:25
263
+ 9250 | 0 | 0.826426 | 0.902788 | 0.934017 | 0.813392 | -0.120625 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:09:53 | 0:15:23
264
+ 9300 | 0 | 1.011346 | 0.900342 | 0.992069 | 0.952093 | -0.039977 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:10:53 | 0:14:22
265
+ 9350 | 0 | 0.920750 | 0.898764 | 0.902807 | 0.796686 | -0.106121 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:11:54 | 0:13:20
266
+ 9400 | 0 | 1.040620 | 0.900693 | 0.700584 | 0.830193 | 0.129610 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:12:54 | 0:12:18
267
+ 9450 | 0 | 0.800165 | 0.899527 | 0.857627 | 0.801465 | -0.056162 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:13:54 | 0:11:17
268
+ 9500 | 0 | 0.942974 | 0.900432 | 0.857692 | 0.829947 | -0.027745 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:14:55 | 0:10:15
269
+ [10:18:37] [TAM stats @ step 9500] mean=-0.0005 std=0.0047 max=0.2208 min=-0.0499 visits=76000
270
+ 9550 | 0 | 0.860535 | 0.900039 | 0.866530 | 0.884686 | 0.018155 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:15:55 | 0:09:13
271
+ 9600 | 0 | 0.823922 | 0.899672 | 0.867362 | 0.764561 | -0.102801 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:16:56 | 0:08:12
272
+ 9650 | 0 | 1.112403 | 0.901667 | 0.859622 | 0.917790 | 0.058168 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:17:56 | 0:07:10
273
+ 9700 | 0 | 0.675738 | 0.901352 | 0.835231 | 0.750147 | -0.085084 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:18:56 | 0:06:09
274
+ 9750 | 0 | 0.954541 | 0.900918 | 1.001944 | 0.931522 | -0.070422 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:19:57 | 0:05:07
275
+ 9800 | 0 | 0.947453 | 0.902481 | 0.903021 | 0.899168 | -0.003853 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:20:57 | 0:04:06
276
+ 9850 | 0 | 0.978175 | 0.899342 | 0.953840 | 0.946565 | -0.007275 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:21:58 | 0:03:04
277
+ 9900 | 0 | 0.675203 | 0.896773 | 0.849492 | 0.689512 | -0.159980 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:22:58 | 0:02:03
278
+ 9950 | 0 | 0.878429 | 0.895100 | 0.896628 | 0.853439 | -0.043189 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:23:59 | 0:01:01
279
+ 10000 | 0 | 0.934263 | 0.896132 | 0.872614 | 0.784121 | -0.088493 | 1.0000 | -0.0005 | 300.00 | 1.00e-04 | 3:25:00 | 0:00:00
280
+ [10:28:41] [TAM stats @ step 10000] mean=-0.0005 std=0.0048 max=0.2208 min=-0.0499 visits=80000
281
+ [10:28:56] Saved checkpoint -> RESULTS/multigen/run_004/checkpoint-10000
282
+ [10:28:58] Removed old checkpoint: checkpoint-4000
283
+ [10:28:58] Generating 16 validation images ...
284
+ [10:29:12] Validation at step 10000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0010000.png
285
+ [10:29:13] --- Epoch 0 complete | Steps: 10000 | Avg Loss: 0.879403 ---
286
+ [10:29:13] Saving final model ...
287
+ [10:29:24] Pipeline saved -> RESULTS/multigen/run_004
288
+ [10:29:24] TAM scores saved -> RESULTS/multigen/run_004/tam_final.pt
289
+ [10:29:24] Final TAM stats: {'mean_score': -0.0005418219952844083, 'std_score': 0.004760436248034239, 'max_score': 0.22080782055854797, 'min_score': -0.04993056878447533, 'total_visits': 80000}
290
+ [10:29:24] Generating final validation collage ...
291
+ [10:29:24] Generating 16 validation images ...
292
+ [10:29:37] Validation at step 10000: 16 images -> RESULTS/multigen/run_004/validation/collage_step_0010000.png
293
+ [10:29:38]
294
+ [10:29:38] ============================================================
295
+ [10:29:38] TRAINING SUMMARY
296
+ [10:29:38] ============================================================
297
+ [10:29:38] Total steps : 200
298
+ [10:29:38] Final loss : 0.934263
299
+ [10:29:38] Avg last 100 : 0.896132
300
+ [10:29:38] Min loss : 0.660531
301
+ [10:29:38] Total time : 3:25:56
302
+ [10:29:38] Output : RESULTS/multigen/run_004
303
+ [10:29:38] ============================================================
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+ "_class_name": "AutoencoderDC",
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