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  1. flicker8k/pixart_sigma/Baseline/checkpoint-6000/transformer/config.json +30 -0
  2. flicker8k/pixart_sigma/Baseline/checkpoint-8000/transformer/config.json +30 -0
  3. flicker8k/pixart_sigma/Baseline/scheduler/scheduler_config.json +32 -0
  4. flicker8k/pixart_sigma/Baseline/text_encoder/config.json +33 -0
  5. flicker8k/pixart_sigma/Baseline/tokenizer/tokenizer.json +0 -0
  6. flicker8k/pixart_sigma/Baseline/tokenizer/tokenizer_config.json +117 -0
  7. flicker8k/pixart_sigma/Baseline/training.log +268 -0
  8. flicker8k/pixart_sigma/Baseline/training_args.json +41 -0
  9. flicker8k/pixart_sigma/Baseline/training_summary.json +7 -0
  10. flicker8k/pixart_sigma/Baseline/transformer/config.json +30 -0
  11. flicker8k/pixart_sigma/Baseline/vae/config.json +38 -0
  12. flicker8k/pixart_sigma/RAD/tokenizer/tokenizer_config.json +117 -0
  13. flicker8k/pixart_sigma/RAD/training.log +304 -0
  14. flicker8k/pixart_sigma/SRA/checkpoint-10000/transformer/config.json +30 -0
  15. flicker8k/pixart_sigma/SRA/checkpoint-6000/transformer/config.json +30 -0
  16. flicker8k/pixart_sigma/SRA/checkpoint-8000/transformer/config.json +30 -0
  17. flicker8k/pixart_sigma/SRA/model_index.json +24 -0
  18. flicker8k/pixart_sigma/SRA/scheduler/scheduler_config.json +32 -0
  19. flicker8k/pixart_sigma/SRA/text_encoder/config.json +33 -0
  20. flicker8k/pixart_sigma/SRA/tokenizer/tokenizer.json +0 -0
  21. flicker8k/pixart_sigma/SRA/tokenizer/tokenizer_config.json +117 -0
  22. flicker8k/pixart_sigma/SRA/training.log +276 -0
  23. flicker8k/pixart_sigma/SRA/training_args.json +53 -0
  24. flicker8k/pixart_sigma/SRA/training_summary.json +7 -0
  25. flicker8k/pixart_sigma/SRA/transformer/config.json +30 -0
  26. flicker8k/pixart_sigma/SRA/vae/config.json +38 -0
  27. flicker8k/pixart_sigma/SpeeD/checkpoint-10000/transformer/config.json +30 -0
  28. flicker8k/pixart_sigma/SpeeD/checkpoint-8000/transformer/config.json +30 -0
  29. flicker8k/pixart_sigma/SpeeD/scheduler/scheduler_config.json +32 -0
  30. flicker8k/pixart_sigma/SpeeD/text_encoder/config.json +33 -0
  31. flicker8k/pixart_sigma/SpeeD/tokenizer/tokenizer.json +0 -0
  32. flicker8k/pixart_sigma/SpeeD/tokenizer/tokenizer_config.json +117 -0
  33. flicker8k/pixart_sigma/SpeeD/training.log +270 -0
  34. flicker8k/pixart_sigma/SpeeD/training_args.json +45 -0
  35. flicker8k/pixart_sigma/SpeeD/training_summary.json +7 -0
  36. flicker8k/pixart_sigma/SpeeD/transformer/config.json +30 -0
  37. flicker8k/pixart_sigma/SpeeD/vae/config.json +38 -0
  38. flicker8k/pixart_sigma/TD/checkpoint-10000/transformer/config.json +30 -0
  39. flicker8k/pixart_sigma/TD/checkpoint-8000/transformer/config.json +30 -0
  40. flicker8k/pixart_sigma/TD/model_index.json +24 -0
  41. flicker8k/pixart_sigma/TD/scheduler/scheduler_config.json +32 -0
  42. flicker8k/pixart_sigma/TD/text_encoder/config.json +33 -0
  43. flicker8k/pixart_sigma/TD/tokenizer/tokenizer.json +0 -0
  44. flicker8k/pixart_sigma/TD/tokenizer/tokenizer_config.json +117 -0
  45. flicker8k/pixart_sigma/TD/training.log +470 -0
  46. flicker8k/pixart_sigma/TD/training_args.json +53 -0
  47. flicker8k/pixart_sigma/TD/training_summary.json +7 -0
  48. flicker8k/pixart_sigma/TD/transformer/config.json +30 -0
  49. flicker8k/pixart_sigma/TD/vae/config.json +38 -0
  50. flicker8k/sana 0.6/RAD/training_args.json +55 -0
flicker8k/pixart_sigma/Baseline/checkpoint-6000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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flicker8k/pixart_sigma/Baseline/checkpoint-8000/transformer/config.json ADDED
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flicker8k/pixart_sigma/Baseline/scheduler/scheduler_config.json ADDED
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+ "beta_start": 0.0001,
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+ "dynamic_thresholding_ratio": 0.995,
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+ "euler_at_final": false,
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+ "final_sigmas_type": "zero",
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+ "flow_shift": 1.0,
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+ "lambda_min_clipped": -Infinity,
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+ "lower_order_final": true,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "epsilon",
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+ "rescale_betas_zero_snr": false,
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+ "sample_max_value": 1.0,
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+ "solver_order": 2,
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+ "use_karras_sigmas": false,
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+ "use_lu_lambdas": false,
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+ "variance_type": null
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+ }
flicker8k/pixart_sigma/Baseline/text_encoder/config.json ADDED
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flicker8k/pixart_sigma/Baseline/tokenizer/tokenizer.json ADDED
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flicker8k/pixart_sigma/Baseline/tokenizer/tokenizer_config.json ADDED
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flicker8k/pixart_sigma/Baseline/training.log ADDED
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+ Training started: 2026-08-19 07:43:47
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [07:43:47] Run directory: RESULTS/flicker8k/run_015
6
+ [07:43:47] Loading PixArt-Sigma components ...
7
+ [07:43:55] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [07:43:55] Building dataset ...
9
+ [07:43:55]
10
+ [07:43:55] ================================================================
11
+ [07:43:55] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
12
+ [07:43:55] Output dir = RESULTS/flicker8k/run_015
13
+ [07:43:55] Num examples = 28315
14
+ [07:43:55] Num epochs = 3
15
+ [07:43:55] Batch/device = 8
16
+ [07:43:55] Grad accum = 1
17
+ [07:43:55] Effective BS = 8
18
+ [07:43:55] Total optim steps = 10000
19
+ [07:43:55] LR = 2e-05
20
+ [07:43:55] Precision = bf16
21
+ [07:43:55] Resolution = 512x512
22
+ [07:43:55] Max seq length = 300
23
+ [07:43:55] ================================================================
24
+ [07:43:55]
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+ 50 | 0 | 0.095333 | 0.095333 | 2.00e-06 | 0:01:11 | 3:56:02
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+ 100 | 0 | 0.142660 | 0.118997 | 4.00e-06 | 0:02:13 | 3:40:30
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+ 1000 | 0 | 0.180693 | 0.134317 | 1.99e-05 | 0:20:59 | 3:08:56
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+ [08:04:47] Generating 16 validation images ...
46
+ [08:05:07] Validation step 1000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0001000.png
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+ 1050 | 0 | 0.115891 | 0.133439 | 1.98e-05 | 0:22:23 | 3:10:50
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+ 1750 | 0 | 0.067900 | 0.123902 | 1.92e-05 | 0:36:59 | 2:54:21
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+ 1800 | 0 | 0.102617 | 0.123311 | 1.91e-05 | 0:38:01 | 2:53:14
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+ 1850 | 0 | 0.128424 | 0.123449 | 1.90e-05 | 0:39:04 | 2:52:07
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+ 2000 | 0 | 0.225568 | 0.125733 | 1.88e-05 | 0:42:11 | 2:48:47
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+ [08:26:04] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-2000
68
+ [08:26:04] Generating 16 validation images ...
69
+ [08:26:25] Validation step 2000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0002000.png
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+ 2300 | 0 | 0.079909 | 0.126130 | 1.83e-05 | 0:48:53 | 2:43:40
76
+ 2350 | 0 | 0.227131 | 0.128279 | 1.82e-05 | 0:49:55 | 2:42:32
77
+ 2400 | 0 | 0.102393 | 0.127740 | 1.81e-05 | 0:50:58 | 2:41:25
78
+ 2450 | 0 | 0.146153 | 0.128116 | 1.80e-05 | 0:52:00 | 2:40:17
79
+ 2500 | 0 | 0.076600 | 0.127086 | 1.79e-05 | 0:53:03 | 2:39:10
80
+ 2550 | 0 | 0.144370 | 0.127424 | 1.78e-05 | 0:54:06 | 2:38:03
81
+ 2600 | 0 | 0.149129 | 0.127842 | 1.77e-05 | 0:55:08 | 2:36:56
82
+ 2650 | 0 | 0.068220 | 0.126717 | 1.76e-05 | 0:56:11 | 2:35:50
83
+ 2700 | 0 | 0.101257 | 0.126245 | 1.75e-05 | 0:57:13 | 2:34:43
84
+ 2750 | 0 | 0.048806 | 0.124837 | 1.74e-05 | 0:58:16 | 2:33:37
85
+ 2800 | 0 | 0.116113 | 0.124682 | 1.72e-05 | 0:59:18 | 2:32:30
86
+ 2850 | 0 | 0.114099 | 0.124496 | 1.71e-05 | 1:00:21 | 2:31:24
87
+ 2900 | 0 | 0.093147 | 0.123956 | 1.70e-05 | 1:01:23 | 2:30:18
88
+ 2950 | 0 | 0.222307 | 0.125622 | 1.69e-05 | 1:02:26 | 2:29:13
89
+ 3000 | 0 | 0.170181 | 0.126365 | 1.68e-05 | 1:03:28 | 2:28:07
90
+ [08:47:16] Generating 16 validation images ...
91
+ [08:47:36] Validation step 3000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0003000.png
92
+ 3050 | 0 | 0.078501 | 0.125580 | 1.67e-05 | 1:04:52 | 2:27:49
93
+ 3100 | 0 | 0.128042 | 0.125620 | 1.65e-05 | 1:05:55 | 2:26:43
94
+ 3150 | 0 | 0.090314 | 0.125060 | 1.64e-05 | 1:06:57 | 2:25:36
95
+ 3200 | 0 | 0.086637 | 0.124459 | 1.63e-05 | 1:08:00 | 2:24:30
96
+ 3250 | 0 | 0.103827 | 0.124142 | 1.61e-05 | 1:09:02 | 2:23:24
97
+ 3300 | 0 | 0.131939 | 0.124260 | 1.60e-05 | 1:10:05 | 2:22:17
98
+ 3350 | 0 | 0.180250 | 0.125096 | 1.59e-05 | 1:11:07 | 2:21:11
99
+ 3400 | 0 | 0.134131 | 0.125229 | 1.57e-05 | 1:12:10 | 2:20:05
100
+ 3450 | 0 | 0.154900 | 0.125659 | 1.56e-05 | 1:13:12 | 2:19:00
101
+ 3500 | 0 | 0.051528 | 0.124600 | 1.55e-05 | 1:14:15 | 2:17:54
102
+ [08:58:51] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.119427 ---
103
+ 3550 | 1 | 0.116700 | 0.124488 | 1.53e-05 | 1:15:17 | 2:16:47
104
+ 3600 | 1 | 0.145713 | 0.124783 | 1.52e-05 | 1:16:19 | 2:15:42
105
+ 3650 | 1 | 0.184829 | 0.125606 | 1.50e-05 | 1:17:22 | 2:14:36
106
+ 3700 | 1 | 0.045363 | 0.124521 | 1.49e-05 | 1:18:25 | 2:13:31
107
+ 3750 | 1 | 0.109316 | 0.124319 | 1.48e-05 | 1:19:27 | 2:12:25
108
+ 3800 | 1 | 0.146295 | 0.124608 | 1.46e-05 | 1:20:30 | 2:11:20
109
+ 3850 | 1 | 0.040409 | 0.123514 | 1.45e-05 | 1:21:32 | 2:10:15
110
+ 3900 | 1 | 0.089728 | 0.123081 | 1.43e-05 | 1:22:35 | 2:09:10
111
+ 3950 | 1 | 0.105574 | 0.122860 | 1.42e-05 | 1:23:37 | 2:08:05
112
+ 4000 | 1 | 0.134241 | 0.123002 | 1.40e-05 | 1:24:40 | 2:07:00
113
+ [09:08:32] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-4000
114
+ [09:08:32] Generating 16 validation images ...
115
+ [09:08:53] Validation step 4000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0004000.png
116
+ 4050 | 1 | 0.092460 | 0.122625 | 1.39e-05 | 1:26:08 | 2:06:33
117
+ 4100 | 1 | 0.146334 | 0.122914 | 1.37e-05 | 1:27:11 | 2:05:27
118
+ 4150 | 1 | 0.144908 | 0.123179 | 1.36e-05 | 1:28:13 | 2:04:22
119
+ 4200 | 1 | 0.152430 | 0.123527 | 1.34e-05 | 1:29:16 | 2:03:16
120
+ 4250 | 1 | 0.072830 | 0.122931 | 1.32e-05 | 1:30:18 | 2:02:11
121
+ 4300 | 1 | 0.159248 | 0.123353 | 1.31e-05 | 1:31:21 | 2:01:06
122
+ 4350 | 1 | 0.011804 | 0.122071 | 1.29e-05 | 1:32:24 | 2:00:00
123
+ 4400 | 1 | 0.153369 | 0.122426 | 1.28e-05 | 1:33:26 | 1:58:55
124
+ 4450 | 1 | 0.090397 | 0.122067 | 1.26e-05 | 1:34:29 | 1:57:50
125
+ 4500 | 1 | 0.256475 | 0.123560 | 1.25e-05 | 1:35:31 | 1:56:45
126
+ 4550 | 1 | 0.226055 | 0.124686 | 1.23e-05 | 1:36:34 | 1:55:40
127
+ 4600 | 1 | 0.106160 | 0.124485 | 1.21e-05 | 1:37:36 | 1:54:35
128
+ 4650 | 1 | 0.118796 | 0.124424 | 1.20e-05 | 1:38:39 | 1:53:30
129
+ 4700 | 1 | 0.175582 | 0.124968 | 1.18e-05 | 1:39:41 | 1:52:25
130
+ 4750 | 1 | 0.062777 | 0.124313 | 1.16e-05 | 1:40:44 | 1:51:20
131
+ 4800 | 1 | 0.226753 | 0.125380 | 1.15e-05 | 1:41:47 | 1:50:15
132
+ 4850 | 1 | 0.135631 | 0.125486 | 1.13e-05 | 1:42:49 | 1:49:11
133
+ 4900 | 1 | 0.092645 | 0.125151 | 1.12e-05 | 1:43:52 | 1:48:06
134
+ 4950 | 1 | 0.193367 | 0.125840 | 1.10e-05 | 1:44:54 | 1:47:01
135
+ 5000 | 1 | 0.019333 | 0.124775 | 1.08e-05 | 1:45:57 | 1:45:57
136
+ [09:29:44] Generating 16 validation images ...
137
+ [09:30:05] Validation step 5000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0005000.png
138
+ 5050 | 1 | 0.095502 | 0.124777 | 1.07e-05 | 1:47:20 | 1:45:13
139
+ 5100 | 1 | 0.283037 | 0.126180 | 1.05e-05 | 1:48:23 | 1:44:08
140
+ 5150 | 1 | 0.102144 | 0.126563 | 1.03e-05 | 1:49:25 | 1:43:03
141
+ 5200 | 1 | 0.110785 | 0.126423 | 1.02e-05 | 1:50:28 | 1:41:58
142
+ 5250 | 1 | 0.018888 | 0.125283 | 1.00e-05 | 1:51:30 | 1:40:53
143
+ 5300 | 1 | 0.080310 | 0.125472 | 9.83e-06 | 1:52:33 | 1:39:48
144
+ 5350 | 1 | 0.055389 | 0.124735 | 9.67e-06 | 1:53:36 | 1:38:44
145
+ 5400 | 1 | 0.228968 | 0.125640 | 9.50e-06 | 1:54:38 | 1:37:39
146
+ 5450 | 1 | 0.055542 | 0.125501 | 9.34e-06 | 1:55:41 | 1:36:34
147
+ 5500 | 1 | 0.107178 | 0.125149 | 9.17e-06 | 1:56:43 | 1:35:30
148
+ 5550 | 1 | 0.065068 | 0.122801 | 9.01e-06 | 1:57:46 | 1:34:25
149
+ 5600 | 1 | 0.099125 | 0.121675 | 8.85e-06 | 1:58:48 | 1:33:21
150
+ 5650 | 1 | 0.143514 | 0.121940 | 8.68e-06 | 1:59:50 | 1:32:16
151
+ 5700 | 1 | 0.109902 | 0.121085 | 8.52e-06 | 2:00:53 | 1:31:11
152
+ 5750 | 1 | 0.118350 | 0.121979 | 8.35e-06 | 2:01:55 | 1:30:07
153
+ 5800 | 1 | 0.140297 | 0.123018 | 8.19e-06 | 2:02:57 | 1:29:02
154
+ 5850 | 1 | 0.070749 | 0.121795 | 8.03e-06 | 2:04:00 | 1:27:58
155
+ 5900 | 1 | 0.078187 | 0.120296 | 7.87e-06 | 2:05:02 | 1:26:53
156
+ 5950 | 1 | 0.138977 | 0.120738 | 7.71e-06 | 2:06:04 | 1:25:49
157
+ 6000 | 1 | 0.143363 | 0.120364 | 7.55e-06 | 2:07:07 | 1:24:44
158
+ [09:50:59] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-6000
159
+ [09:50:59] Generating 16 validation images ...
160
+ [09:51:19] Validation step 6000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0006000.png
161
+ 6050 | 1 | 0.256213 | 0.121768 | 7.39e-06 | 2:08:35 | 1:23:57
162
+ 6100 | 1 | 0.122190 | 0.121452 | 7.23e-06 | 2:09:37 | 1:22:52
163
+ 6150 | 1 | 0.112843 | 0.120109 | 7.07e-06 | 2:10:39 | 1:21:47
164
+ 6200 | 1 | 0.084714 | 0.119594 | 6.91e-06 | 2:11:42 | 1:20:43
165
+ 6250 | 1 | 0.117023 | 0.120169 | 6.75e-06 | 2:12:44 | 1:19:38
166
+ 6300 | 1 | 0.100684 | 0.119282 | 6.60e-06 | 2:13:46 | 1:18:34
167
+ 6350 | 1 | 0.036308 | 0.119049 | 6.44e-06 | 2:14:49 | 1:17:29
168
+ 6400 | 1 | 0.200437 | 0.120509 | 6.29e-06 | 2:15:51 | 1:16:25
169
+ 6450 | 1 | 0.040424 | 0.120414 | 6.14e-06 | 2:16:53 | 1:15:20
170
+ 6500 | 1 | 0.122901 | 0.120810 | 5.98e-06 | 2:17:56 | 1:14:16
171
+ 6550 | 1 | 0.075429 | 0.120320 | 5.83e-06 | 2:18:58 | 1:13:12
172
+ 6600 | 1 | 0.213237 | 0.121581 | 5.68e-06 | 2:20:00 | 1:12:07
173
+ 6650 | 1 | 0.143121 | 0.122487 | 5.53e-06 | 2:21:03 | 1:11:03
174
+ 6700 | 1 | 0.122706 | 0.122023 | 5.39e-06 | 2:22:05 | 1:09:59
175
+ 6750 | 1 | 0.085430 | 0.122198 | 5.24e-06 | 2:23:07 | 1:08:54
176
+ 6800 | 1 | 0.161614 | 0.122788 | 5.10e-06 | 2:24:09 | 1:07:50
177
+ 6850 | 1 | 0.121890 | 0.122723 | 4.95e-06 | 2:25:12 | 1:06:46
178
+ 6900 | 1 | 0.189165 | 0.123231 | 4.81e-06 | 2:26:14 | 1:05:42
179
+ 6950 | 1 | 0.159731 | 0.123851 | 4.67e-06 | 2:27:16 | 1:04:38
180
+ 7000 | 1 | 0.097620 | 0.122571 | 4.53e-06 | 2:28:19 | 1:03:33
181
+ [10:12:06] Generating 16 validation images ...
182
+ [10:12:26] Validation step 7000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0007000.png
183
+ 7050 | 1 | 0.108616 | 0.120451 | 4.39e-06 | 2:29:42 | 1:02:38
184
+ [10:14:06] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.116888 ---
185
+ 7100 | 2 | 0.118775 | 0.120867 | 4.26e-06 | 2:30:43 | 1:01:33
186
+ 7150 | 2 | 0.085162 | 0.120708 | 4.12e-06 | 2:31:46 | 1:00:29
187
+ 7200 | 2 | 0.193040 | 0.121145 | 3.99e-06 | 2:32:48 | 0:59:25
188
+ 7250 | 2 | 0.054204 | 0.121242 | 3.86e-06 | 2:33:50 | 0:58:21
189
+ 7300 | 2 | 0.090564 | 0.121348 | 3.73e-06 | 2:34:53 | 0:57:17
190
+ 7350 | 2 | 0.081108 | 0.119888 | 3.60e-06 | 2:35:55 | 0:56:12
191
+ 7400 | 2 | 0.196546 | 0.120829 | 3.47e-06 | 2:36:57 | 0:55:08
192
+ 7450 | 2 | 0.085711 | 0.120225 | 3.35e-06 | 2:37:59 | 0:54:04
193
+ 7500 | 2 | 0.141083 | 0.120870 | 3.23e-06 | 2:39:02 | 0:53:00
194
+ 7550 | 2 | 0.104952 | 0.120476 | 3.11e-06 | 2:40:04 | 0:51:56
195
+ 7600 | 2 | 0.121374 | 0.120198 | 2.99e-06 | 2:41:06 | 0:50:52
196
+ 7650 | 2 | 0.190832 | 0.121424 | 2.87e-06 | 2:42:08 | 0:49:48
197
+ 7700 | 2 | 0.175372 | 0.122165 | 2.76e-06 | 2:43:11 | 0:48:44
198
+ 7750 | 2 | 0.131695 | 0.122994 | 2.64e-06 | 2:44:13 | 0:47:40
199
+ 7800 | 2 | 0.211049 | 0.123944 | 2.53e-06 | 2:45:15 | 0:46:36
200
+ 7850 | 2 | 0.127129 | 0.124074 | 2.42e-06 | 2:46:17 | 0:45:32
201
+ 7900 | 2 | 0.093092 | 0.124073 | 2.32e-06 | 2:47:20 | 0:44:28
202
+ 7950 | 2 | 0.088971 | 0.122740 | 2.21e-06 | 2:48:22 | 0:43:24
203
+ 8000 | 2 | 0.111479 | 0.122153 | 2.11e-06 | 2:49:24 | 0:42:21
204
+ [10:33:16] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-8000
205
+ [10:33:17] Generating 16 validation images ...
206
+ [10:33:38] Validation step 8000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0008000.png
207
+ 8050 | 2 | 0.122533 | 0.122593 | 2.01e-06 | 2:50:53 | 0:41:23
208
+ 8100 | 2 | 0.065429 | 0.121967 | 1.91e-06 | 2:51:55 | 0:40:19
209
+ 8150 | 2 | 0.168836 | 0.122752 | 1.81e-06 | 2:52:58 | 0:39:15
210
+ 8200 | 2 | 0.107297 | 0.122959 | 1.72e-06 | 2:54:00 | 0:38:11
211
+ 8250 | 2 | 0.059163 | 0.122512 | 1.63e-06 | 2:55:02 | 0:37:07
212
+ 8300 | 2 | 0.110610 | 0.122299 | 1.54e-06 | 2:56:05 | 0:36:03
213
+ 8350 | 2 | 0.075711 | 0.121254 | 1.45e-06 | 2:57:07 | 0:35:00
214
+ 8400 | 2 | 0.070040 | 0.120613 | 1.37e-06 | 2:58:09 | 0:33:56
215
+ 8450 | 2 | 0.110774 | 0.120172 | 1.29e-06 | 2:59:12 | 0:32:52
216
+ 8500 | 2 | 0.130167 | 0.120958 | 1.21e-06 | 3:00:14 | 0:31:48
217
+ 8550 | 2 | 0.105819 | 0.120849 | 1.13e-06 | 3:01:17 | 0:30:44
218
+ 8600 | 2 | 0.277676 | 0.122169 | 1.05e-06 | 3:02:19 | 0:29:40
219
+ 8650 | 2 | 0.068566 | 0.121006 | 9.80e-07 | 3:03:21 | 0:28:37
220
+ 8700 | 2 | 0.110086 | 0.121653 | 9.10e-07 | 3:04:24 | 0:27:33
221
+ 8750 | 2 | 0.034973 | 0.120910 | 8.42e-07 | 3:05:26 | 0:26:29
222
+ 8800 | 2 | 0.065341 | 0.120100 | 7.77e-07 | 3:06:29 | 0:25:25
223
+ 8850 | 2 | 0.128290 | 0.120979 | 7.14e-07 | 3:07:31 | 0:24:22
224
+ 8900 | 2 | 0.098077 | 0.121063 | 6.54e-07 | 3:08:34 | 0:23:18
225
+ 8950 | 2 | 0.006830 | 0.120075 | 5.97e-07 | 3:09:36 | 0:22:14
226
+ 9000 | 2 | 0.103729 | 0.119770 | 5.42e-07 | 3:10:39 | 0:21:11
227
+ [10:54:26] Generating 16 validation images ...
228
+ [10:54:47] Validation step 9000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0009000.png
229
+ 9050 | 2 | 0.154948 | 0.120395 | 4.89e-07 | 3:12:02 | 0:20:09
230
+ 9100 | 2 | 0.115343 | 0.120085 | 4.40e-07 | 3:13:04 | 0:19:05
231
+ 9150 | 2 | 0.108495 | 0.119721 | 3.92e-07 | 3:14:07 | 0:18:01
232
+ 9200 | 2 | 0.178215 | 0.119979 | 3.48e-07 | 3:15:09 | 0:16:58
233
+ 9250 | 2 | 0.170805 | 0.120959 | 3.06e-07 | 3:16:12 | 0:15:54
234
+ 9300 | 2 | 0.154321 | 0.120909 | 2.67e-07 | 3:17:14 | 0:14:50
235
+ 9350 | 2 | 0.134578 | 0.122137 | 2.30e-07 | 3:18:17 | 0:13:47
236
+ 9400 | 2 | 0.126200 | 0.121865 | 1.96e-07 | 3:19:19 | 0:12:43
237
+ 9450 | 2 | 0.063889 | 0.121600 | 1.65e-07 | 3:20:21 | 0:11:39
238
+ 9500 | 2 | 0.030304 | 0.119339 | 1.36e-07 | 3:21:24 | 0:10:36
239
+ 9550 | 2 | 0.019144 | 0.117269 | 1.11e-07 | 3:22:26 | 0:09:32
240
+ 9600 | 2 | 0.134002 | 0.117548 | 8.74e-08 | 3:23:29 | 0:08:28
241
+ 9650 | 2 | 0.114819 | 0.117508 | 6.69e-08 | 3:24:31 | 0:07:25
242
+ 9700 | 2 | 0.123573 | 0.116988 | 4.92e-08 | 3:25:34 | 0:06:21
243
+ 9750 | 2 | 0.074010 | 0.117100 | 3.42e-08 | 3:26:36 | 0:05:17
244
+ 9800 | 2 | 0.088881 | 0.115722 | 2.19e-08 | 3:27:39 | 0:04:14
245
+ 9850 | 2 | 0.092552 | 0.115291 | 1.23e-08 | 3:28:41 | 0:03:10
246
+ 9900 | 2 | 0.085316 | 0.115218 | 5.47e-09 | 3:29:44 | 0:02:07
247
+ 9950 | 2 | 0.061535 | 0.113899 | 1.37e-09 | 3:30:46 | 0:01:03
248
+ 10000 | 2 | 0.153217 | 0.115238 | 0.00e+00 | 3:31:49 | 0:00:00
249
+ [11:15:41] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-10000
250
+ [11:15:42] Generating 16 validation images ...
251
+ [11:16:03] Validation step 10000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0010000.png
252
+ [11:16:03] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.118273 ---
253
+ [11:16:03] Saving final model ...
254
+ [11:16:15] Pipeline saved -> RESULTS/flicker8k/run_015
255
+ [11:16:15] Generating final validation collage ...
256
+ [11:16:15] Generating 16 validation images ...
257
+ [11:16:35] Validation step 10000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0010000.png
258
+ [11:16:36]
259
+ [11:16:36] ============================================================
260
+ [11:16:36] TRAINING SUMMARY
261
+ [11:16:36] ============================================================
262
+ [11:16:36] Total steps : 200
263
+ [11:16:36] Final loss : 0.153217
264
+ [11:16:36] Avg last 100 : 0.115238
265
+ [11:16:36] Min loss : 0.006830
266
+ [11:16:36] Total time : 3:32:48
267
+ [11:16:36] Output : RESULTS/flicker8k/run_015
268
+ [11:16:36] ============================================================
flicker8k/pixart_sigma/Baseline/training_args.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/flicker8k",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
11
+ "max_captions_per_image": 5,
12
+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
14
+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "learning_rate": 2e-05,
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+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.01,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 3,
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+ "resume_from_checkpoint": null,
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+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
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+ "max_sequence_length": 300,
39
+ "dataloader_num_workers": 4,
40
+ "output_dir": "RESULTS/flicker8k/run_015"
41
+ }
flicker8k/pixart_sigma/Baseline/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
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+ "final_loss": 0.15321698784828186,
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+ "avg_last_100": 0.1152380357729271,
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+ "min_loss": 0.006829994264990091,
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+ Training started: 2026-08-19 07:44:34
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [07:44:34] Run directory: RESULTS/flicker8k/run_016
6
+ [07:44:34] PixArt-Sigma AGD+TAM+SAD v3 | temp=0.5 curriculum=5000 max_delta=300
7
+ [07:44:34] TAM: enabled=True alpha=0.9 factor=0.5
8
+ [07:44:34] SAD: enabled=True temp=0.5
9
+ [07:44:34] Loading PixArt-Sigma components ...
10
+ [07:44:34] Transformer : PixArt-alpha/PixArt-Sigma-XL-2-512-MS
11
+ [07:44:34] Base (T5/VAE): PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
12
+ [07:44:42] Transformer params: 610,856,096 total, 610,856,096 trainable
13
+ [07:44:42] Building dataset ...
14
+ [07:44:42] TAM initialised: 28315 samples tracked.
15
+ [07:44:42]
16
+ [07:44:42] ================================================================
17
+ [07:44:42] Transformer = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
18
+ [07:44:42] Base (T5/VAE) = PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
19
+ [07:44:42] Output dir = RESULTS/flicker8k/run_016
20
+ [07:44:42] Num examples = 28315
21
+ [07:44:42] Num epochs = 3
22
+ [07:44:42] Batch/device = 8
23
+ [07:44:42] Grad accum = 1
24
+ [07:44:42] Effective BS = 8
25
+ [07:44:42] Total optim steps = 10000
26
+ [07:44:42] LR = 2e-05
27
+ [07:44:42] Precision = bf16
28
+ [07:44:42] Resolution = 512x512
29
+ [07:44:42] Max seq length = 300 [Sigma: 300 vs Alpha: 120]
30
+ [07:44:42] --- AGD ---
31
+ [07:44:42] Temperature = 0.5
32
+ [07:44:42] Curriculum steps = 5000
33
+ [07:44:42] Max timestep delta = 300
34
+ [07:44:42] --- TAM --- enabled=True
35
+ [07:44:42] TAM alpha = 0.9
36
+ [07:44:42] TAM factor = 0.5
37
+ [07:44:42] --- SAD --- enabled=True
38
+ [07:44:42] SAD temperature = 0.5
39
+ [07:44:42] ================================================================
40
+ [07:44:42]
41
+ 50 | 0 | 0.060569 | 0.060569 | 0.059870 | 0.063906 | 0.004036 | 1.0000 | -0.0000 | 3.00 | 2.00e-06 | 0:01:28 | 4:52:55
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+ 100 | 0 | 0.087073 | 0.073821 | 0.088644 | 0.086220 | -0.002425 | 1.0000 | -0.0000 | 6.00 | 4.00e-06 | 0:02:47 | 4:36:43
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+ 150 | 0 | 0.079053 | 0.075565 | 0.088369 | 0.082331 | -0.006037 | 1.0000 | -0.0000 | 9.00 | 6.00e-06 | 0:04:07 | 4:30:33
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+ 200 | 0 | 0.222777 | 0.112368 | 0.226742 | 0.218270 | -0.008472 | 1.0000 | -0.0000 | 12.00 | 8.00e-06 | 0:05:26 | 4:26:48
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+ 250 | 0 | 0.071448 | 0.104184 | 0.073732 | 0.069492 | -0.004240 | 1.0000 | -0.0000 | 15.00 | 1.00e-05 | 0:06:46 | 4:24:03
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+ 300 | 0 | 0.167185 | 0.114684 | 0.172477 | 0.161178 | -0.011299 | 1.0000 | -0.0001 | 18.00 | 1.20e-05 | 0:08:05 | 4:21:47
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+ 350 | 0 | 0.054496 | 0.106086 | 0.063811 | 0.054906 | -0.008905 | 1.0000 | -0.0001 | 21.00 | 1.40e-05 | 0:09:25 | 4:19:47
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+ 400 | 0 | 0.070408 | 0.101626 | 0.083415 | 0.074405 | -0.009010 | 1.0000 | -0.0001 | 24.00 | 1.60e-05 | 0:10:44 | 4:17:56
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+ 450 | 0 | 0.042195 | 0.095023 | 0.046503 | 0.039436 | -0.007067 | 1.0000 | -0.0001 | 27.00 | 1.80e-05 | 0:12:04 | 4:16:13
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+ 500 | 0 | 0.037415 | 0.089262 | 0.044727 | 0.039014 | -0.005713 | 1.0000 | -0.0002 | 30.00 | 2.00e-05 | 0:13:23 | 4:14:34
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+ [07:57:58] [TAM @ 500] mean=-0.0002 std=0.0026 max=0.0094 visits=4000
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+ 550 | 0 | 0.151852 | 0.094952 | 0.267907 | 0.164872 | -0.103035 | 1.0000 | -0.0002 | 33.00 | 2.00e-05 | 0:14:43 | 4:12:59
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+ 600 | 0 | 0.100113 | 0.095382 | 0.117332 | 0.097558 | -0.019774 | 1.0000 | -0.0002 | 36.00 | 2.00e-05 | 0:16:03 | 4:11:27
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+ 650 | 0 | 0.050266 | 0.091912 | 0.055495 | 0.049297 | -0.006198 | 1.0000 | -0.0003 | 39.00 | 2.00e-05 | 0:17:22 | 4:09:56
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+ 700 | 0 | 0.027176 | 0.087288 | 0.036977 | 0.025645 | -0.011332 | 1.0000 | -0.0003 | 42.00 | 2.00e-05 | 0:18:42 | 4:08:27
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+ 750 | 0 | 0.048998 | 0.084735 | 0.042538 | 0.048336 | 0.005798 | 1.0000 | -0.0003 | 45.00 | 2.00e-05 | 0:20:01 | 4:06:59
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+ 800 | 0 | 0.071185 | 0.083888 | 0.084237 | 0.067500 | -0.016737 | 1.0000 | -0.0004 | 48.00 | 2.00e-05 | 0:21:21 | 4:05:32
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+ 850 | 0 | 0.061225 | 0.082555 | 0.056690 | 0.060428 | 0.003738 | 1.0000 | -0.0004 | 51.00 | 2.00e-05 | 0:22:40 | 4:04:06
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+ 900 | 0 | 0.051994 | 0.080857 | 0.076786 | 0.051571 | -0.025215 | 1.0000 | -0.0004 | 54.00 | 2.00e-05 | 0:24:00 | 4:02:41
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+ 950 | 0 | 0.070452 | 0.080309 | 0.098412 | 0.074276 | -0.024137 | 1.0000 | -0.0005 | 57.00 | 2.00e-05 | 0:25:19 | 4:01:16
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+ 1000 | 0 | 0.058072 | 0.079198 | 0.081787 | 0.057409 | -0.024378 | 1.0000 | -0.0005 | 60.00 | 2.00e-05 | 0:26:39 | 3:59:52
62
+ [08:11:13] [TAM @ 1000] mean=-0.0005 std=0.0044 max=0.0149 visits=8000
63
+ [08:11:13] Generating 16 validation images ...
64
+ [08:11:34] Validation step 1000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0001000.png
65
+ 1050 | 0 | 0.061416 | 0.078351 | 0.084805 | 0.063893 | -0.020912 | 1.0000 | -0.0005 | 63.00 | 2.00e-05 | 0:28:19 | 4:01:25
66
+ 1100 | 0 | 0.029436 | 0.076127 | 0.051721 | 0.031052 | -0.020668 | 1.0000 | -0.0006 | 66.00 | 2.00e-05 | 0:29:38 | 3:59:53
67
+ 1150 | 0 | 0.049729 | 0.074980 | 0.096566 | 0.057082 | -0.039485 | 1.0000 | -0.0007 | 69.00 | 2.00e-05 | 0:30:58 | 3:58:22
68
+ 1200 | 0 | 0.117603 | 0.076756 | 0.147882 | 0.117497 | -0.030385 | 1.0000 | -0.0007 | 72.00 | 2.00e-05 | 0:32:17 | 3:56:51
69
+ 1250 | 0 | 0.088799 | 0.077237 | 0.134246 | 0.092824 | -0.041423 | 1.0000 | -0.0008 | 75.00 | 2.00e-05 | 0:33:37 | 3:55:22
70
+ 1300 | 0 | 0.122809 | 0.078990 | 0.273517 | 0.139827 | -0.133690 | 1.0000 | -0.0008 | 78.00 | 2.00e-05 | 0:34:56 | 3:53:53
71
+ 1350 | 0 | 0.092460 | 0.079489 | 0.249192 | 0.114970 | -0.134221 | 1.0000 | -0.0009 | 81.00 | 2.00e-05 | 0:36:16 | 3:52:25
72
+ 1400 | 0 | 0.066019 | 0.079008 | 0.101671 | 0.066830 | -0.034840 | 1.0000 | -0.0009 | 84.00 | 2.00e-05 | 0:37:35 | 3:50:57
73
+ 1450 | 0 | 0.009832 | 0.076623 | 0.021757 | 0.009833 | -0.011924 | 1.0000 | -0.0010 | 87.00 | 2.00e-05 | 0:38:55 | 3:49:30
74
+ 1500 | 0 | 0.100416 | 0.077416 | 0.166864 | 0.099130 | -0.067734 | 1.0000 | -0.0010 | 90.00 | 2.00e-05 | 0:40:14 | 3:48:04
75
+ [08:24:49] [TAM @ 1500] mean=-0.0010 std=0.0060 max=0.0149 visits=12000
76
+ 1550 | 0 | 0.039171 | 0.076182 | 0.078039 | 0.037602 | -0.040437 | 1.0000 | -0.0011 | 93.00 | 2.00e-05 | 0:41:34 | 3:46:38
77
+ 1600 | 0 | 0.004710 | 0.073948 | 0.012910 | 0.005505 | -0.007405 | 1.0000 | -0.0011 | 96.00 | 2.00e-05 | 0:42:54 | 3:45:13
78
+ 1650 | 0 | 0.082369 | 0.074204 | 0.121233 | 0.083927 | -0.037306 | 1.0000 | -0.0012 | 99.00 | 2.00e-05 | 0:44:13 | 3:43:48
79
+ 1700 | 0 | 0.040700 | 0.073218 | 0.079419 | 0.041554 | -0.037865 | 1.0000 | -0.0012 | 102.00 | 2.00e-05 | 0:45:33 | 3:42:23
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+ 1750 | 0 | 0.144317 | 0.075250 | 0.210310 | 0.144504 | -0.065807 | 1.0000 | -0.0013 | 105.00 | 2.00e-05 | 0:46:52 | 3:40:59
81
+ 1800 | 0 | 0.123268 | 0.076583 | 0.219785 | 0.131040 | -0.088745 | 1.0000 | -0.0014 | 108.00 | 2.00e-05 | 0:48:12 | 3:39:35
82
+ 1850 | 0 | 0.088528 | 0.076906 | 0.139731 | 0.089578 | -0.050153 | 1.0000 | -0.0014 | 111.00 | 2.00e-05 | 0:49:31 | 3:38:11
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+ 1900 | 0 | 0.042133 | 0.075991 | 0.197787 | 0.070384 | -0.127403 | 1.0000 | -0.0015 | 114.00 | 2.00e-05 | 0:50:51 | 3:36:47
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+ 1950 | 0 | 0.123122 | 0.077200 | 0.149738 | 0.125461 | -0.024277 | 1.0000 | -0.0016 | 117.00 | 2.00e-05 | 0:52:10 | 3:35:24
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+ 2000 | 0 | 0.095420 | 0.077655 | 0.110186 | 0.090109 | -0.020077 | 1.0000 | -0.0016 | 120.00 | 2.00e-05 | 0:53:30 | 3:34:00
86
+ [08:38:04] [TAM @ 2000] mean=-0.0016 std=0.0070 max=0.0149 visits=16000
87
+ [08:38:09] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-2000
88
+ [08:38:09] Generating 16 validation images ...
89
+ [08:38:30] Validation step 2000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0002000.png
90
+ 2050 | 0 | 0.070833 | 0.077489 | 0.100716 | 0.068979 | -0.031737 | 1.0000 | -0.0017 | 123.00 | 2.00e-05 | 0:55:15 | 3:34:16
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+ 2100 | 0 | 0.072474 | 0.077369 | 0.236671 | 0.095301 | -0.141371 | 1.0000 | -0.0018 | 126.00 | 2.00e-05 | 0:56:34 | 3:32:50
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+ 2150 | 0 | 0.077540 | 0.077373 | 0.116795 | 0.076939 | -0.039855 | 1.0000 | -0.0019 | 129.00 | 2.00e-05 | 0:57:54 | 3:31:25
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+ 2200 | 0 | 0.034595 | 0.076401 | 0.091436 | 0.037045 | -0.054390 | 1.0000 | -0.0019 | 132.00 | 2.00e-05 | 0:59:13 | 3:29:59
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+ 2250 | 0 | 0.060496 | 0.076048 | 0.111779 | 0.059152 | -0.052628 | 1.0000 | -0.0020 | 135.00 | 2.00e-05 | 1:00:33 | 3:28:34
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+ 2300 | 0 | 0.081155 | 0.076159 | 0.271669 | 0.105325 | -0.166344 | 1.0000 | -0.0021 | 138.00 | 2.00e-05 | 1:01:52 | 3:27:09
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+ 2350 | 0 | 0.083395 | 0.076313 | 0.149961 | 0.082986 | -0.066974 | 1.0000 | -0.0022 | 141.00 | 2.00e-05 | 1:03:12 | 3:25:45
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+ 2400 | 0 | 0.016930 | 0.075076 | 0.047446 | 0.018908 | -0.028538 | 1.0000 | -0.0023 | 144.00 | 2.00e-05 | 1:04:31 | 3:24:20
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+ 2450 | 0 | 0.035025 | 0.074258 | 0.071667 | 0.033582 | -0.038085 | 1.0000 | -0.0023 | 147.00 | 2.00e-05 | 1:05:51 | 3:22:56
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+ 2500 | 0 | 0.010049 | 0.072974 | 0.035028 | 0.010694 | -0.024335 | 1.0000 | -0.0024 | 150.00 | 2.00e-05 | 1:07:10 | 3:21:32
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+ 2550 | 0 | 0.026720 | 0.072067 | 0.068151 | 0.028736 | -0.039415 | 1.0000 | -0.0025 | 153.00 | 2.00e-05 | 1:08:30 | 3:20:08
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+ 2600 | 0 | 0.054221 | 0.071724 | 0.145492 | 0.056783 | -0.088709 | 1.0000 | -0.0026 | 156.00 | 2.00e-05 | 1:09:49 | 3:18:45
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+ 2650 | 0 | 0.082920 | 0.071935 | 0.200574 | 0.089693 | -0.110881 | 1.0000 | -0.0027 | 159.00 | 2.00e-05 | 1:11:09 | 3:17:21
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+ 2700 | 0 | 0.010173 | 0.070791 | 0.044979 | 0.011051 | -0.033928 | 1.0000 | -0.0028 | 162.00 | 2.00e-05 | 1:12:28 | 3:15:58
105
+ 2750 | 0 | 0.012569 | 0.069733 | 0.043651 | 0.012917 | -0.030735 | 1.0000 | -0.0029 | 165.00 | 2.00e-05 | 1:13:48 | 3:14:35
106
+ 2800 | 0 | 0.012349 | 0.068708 | 0.045991 | 0.013068 | -0.032923 | 1.0000 | -0.0030 | 168.00 | 2.00e-05 | 1:15:07 | 3:13:11
107
+ 2850 | 0 | 0.043780 | 0.068271 | 0.151338 | 0.047343 | -0.103994 | 1.0000 | -0.0030 | 171.00 | 2.00e-05 | 1:16:27 | 3:11:49
108
+ 2900 | 0 | 0.031103 | 0.067630 | 0.121540 | 0.031474 | -0.090066 | 1.0000 | -0.0031 | 174.00 | 2.00e-05 | 1:17:46 | 3:10:26
109
+ 2950 | 0 | 0.074815 | 0.067752 | 0.165226 | 0.078366 | -0.086859 | 1.0000 | -0.0032 | 177.00 | 2.00e-05 | 1:19:06 | 3:09:03
110
+ 3000 | 0 | 0.022797 | 0.067002 | 0.094372 | 0.026151 | -0.068221 | 1.0000 | -0.0034 | 180.00 | 2.00e-05 | 1:20:25 | 3:07:40
111
+ [09:05:00] [TAM @ 3000] mean=-0.0034 std=0.0090 max=0.0149 visits=24000
112
+ [09:05:00] Generating 16 validation images ...
113
+ [09:05:21] Validation step 3000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0003000.png
114
+ 3050 | 0 | 0.049195 | 0.066711 | 0.116240 | 0.050328 | -0.065912 | 1.0000 | -0.0034 | 183.00 | 2.00e-05 | 1:22:06 | 3:07:05
115
+ 3100 | 0 | 0.016733 | 0.065904 | 0.069654 | 0.018539 | -0.051115 | 1.0000 | -0.0036 | 186.00 | 2.00e-05 | 1:23:25 | 3:05:41
116
+ 3150 | 0 | 0.056280 | 0.065752 | 0.193074 | 0.061510 | -0.131564 | 1.0000 | -0.0037 | 189.00 | 2.00e-05 | 1:24:45 | 3:04:18
117
+ 3200 | 0 | 0.012499 | 0.064920 | 0.058156 | 0.012307 | -0.045849 | 1.0000 | -0.0038 | 192.00 | 2.00e-05 | 1:26:04 | 3:02:55
118
+ 3250 | 0 | 0.024867 | 0.064303 | 0.062425 | 0.026523 | -0.035903 | 1.0000 | -0.0039 | 195.00 | 2.00e-05 | 1:27:24 | 3:01:32
119
+ 3300 | 0 | 0.030519 | 0.063792 | 0.135899 | 0.033050 | -0.102849 | 1.0000 | -0.0040 | 198.00 | 2.00e-05 | 1:28:43 | 3:00:09
120
+ 3350 | 0 | 0.037848 | 0.063404 | 0.087800 | 0.039905 | -0.047895 | 1.0000 | -0.0041 | 201.00 | 2.00e-05 | 1:30:03 | 2:58:46
121
+ 3400 | 0 | 0.063254 | 0.063402 | 0.184929 | 0.073386 | -0.111544 | 1.0000 | -0.0042 | 204.00 | 2.00e-05 | 1:31:22 | 2:57:23
122
+ 3450 | 0 | 0.047496 | 0.063172 | 0.150175 | 0.055202 | -0.094973 | 1.0000 | -0.0043 | 207.00 | 2.00e-05 | 1:32:42 | 2:56:00
123
+ 3500 | 0 | 0.079061 | 0.063399 | 0.262820 | 0.080853 | -0.181967 | 1.0000 | -0.0044 | 210.00 | 2.00e-05 | 1:34:01 | 2:54:37
124
+ [09:18:36] [TAM @ 3500] mean=-0.0044 std=0.0101 max=0.0149 visits=28000
125
+ [09:19:38] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.072647 ---
126
+ 3550 | 1 | 0.033265 | 0.062974 | 0.089246 | 0.036827 | -0.052420 | 1.0000 | -0.0045 | 213.00 | 2.00e-05 | 1:35:20 | 2:53:13
127
+ 3600 | 1 | 0.055483 | 0.062870 | 0.163469 | 0.059624 | -0.103845 | 1.0000 | -0.0047 | 216.00 | 2.00e-05 | 1:36:40 | 2:51:51
128
+ 3650 | 1 | 0.065141 | 0.062901 | 0.263331 | 0.087898 | -0.175433 | 1.0000 | -0.0048 | 219.00 | 2.00e-05 | 1:37:59 | 2:50:28
129
+ 3700 | 1 | 0.021528 | 0.062342 | 0.097969 | 0.026007 | -0.071962 | 1.0000 | -0.0049 | 222.00 | 2.00e-05 | 1:39:19 | 2:49:06
130
+ 3750 | 1 | 0.006631 | 0.061599 | 0.051972 | 0.006901 | -0.045071 | 1.0000 | -0.0050 | 225.00 | 2.00e-05 | 1:40:38 | 2:47:44
131
+ 3800 | 1 | 0.048820 | 0.061431 | 0.142095 | 0.053122 | -0.088972 | 1.0000 | -0.0051 | 228.00 | 2.00e-05 | 1:41:58 | 2:46:22
132
+ 3850 | 1 | 0.052728 | 0.061318 | 0.115657 | 0.055032 | -0.060625 | 1.0000 | -0.0052 | 231.00 | 2.00e-05 | 1:43:17 | 2:45:00
133
+ 3900 | 1 | 0.001165 | 0.060547 | 0.014185 | 0.001184 | -0.013001 | 1.0000 | -0.0053 | 234.00 | 2.00e-05 | 1:44:37 | 2:43:38
134
+ 3950 | 1 | 0.042396 | 0.060317 | 0.249199 | 0.058828 | -0.190371 | 1.0000 | -0.0054 | 237.00 | 2.00e-05 | 1:45:56 | 2:42:16
135
+ 4000 | 1 | 0.022918 | 0.059850 | 0.116655 | 0.026774 | -0.089881 | 1.0000 | -0.0056 | 240.00 | 2.00e-05 | 1:47:16 | 2:40:54
136
+ [09:31:50] [TAM @ 4000] mean=-0.0056 std=0.0113 max=0.0149 visits=31995
137
+ [09:31:55] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-4000
138
+ [09:31:55] Generating 16 validation images ...
139
+ [09:32:16] Validation step 4000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0004000.png
140
+ 4050 | 1 | 0.011381 | 0.059251 | 0.083720 | 0.013175 | -0.070546 | 1.0000 | -0.0057 | 243.00 | 2.00e-05 | 1:49:01 | 2:40:09
141
+ 4100 | 1 | 0.033087 | 0.058932 | 0.111710 | 0.035232 | -0.076478 | 1.0000 | -0.0058 | 246.00 | 2.00e-05 | 1:50:20 | 2:38:47
142
+ 4150 | 1 | 0.028837 | 0.058570 | 0.111898 | 0.032778 | -0.079120 | 1.0000 | -0.0059 | 249.00 | 2.00e-05 | 1:51:39 | 2:37:24
143
+ 4200 | 1 | 0.003536 | 0.057914 | 0.034999 | 0.003685 | -0.031314 | 1.0000 | -0.0060 | 252.00 | 2.00e-05 | 1:52:59 | 2:36:02
144
+ 4250 | 1 | 0.015989 | 0.057421 | 0.112066 | 0.016709 | -0.095357 | 1.0000 | -0.0062 | 255.00 | 2.00e-05 | 1:54:19 | 2:34:39
145
+ 4300 | 1 | 0.048696 | 0.057320 | 0.185968 | 0.050807 | -0.135161 | 1.0000 | -0.0063 | 258.00 | 2.00e-05 | 1:55:38 | 2:33:17
146
+ 4350 | 1 | 0.026684 | 0.056968 | 0.148592 | 0.029366 | -0.119226 | 1.0000 | -0.0064 | 261.00 | 2.00e-05 | 1:56:57 | 2:31:55
147
+ 4400 | 1 | 0.035248 | 0.056721 | 0.114808 | 0.036745 | -0.078064 | 1.0000 | -0.0065 | 264.00 | 2.00e-05 | 1:58:17 | 2:30:32
148
+ 4450 | 1 | 0.015249 | 0.056255 | 0.113713 | 0.017388 | -0.096324 | 1.0000 | -0.0066 | 267.00 | 2.00e-05 | 1:59:36 | 2:29:10
149
+ 4500 | 1 | 0.011193 | 0.055754 | 0.081882 | 0.013528 | -0.068354 | 1.0000 | -0.0067 | 270.00 | 2.00e-05 | 2:00:55 | 2:27:48
150
+ [09:45:30] [TAM @ 4500] mean=-0.0067 std=0.0124 max=0.0149 visits=35995
151
+ 4550 | 1 | 0.016613 | 0.055324 | 0.242976 | 0.030991 | -0.211986 | 1.0000 | -0.0069 | 273.00 | 2.00e-05 | 2:02:15 | 2:26:25
152
+ 4600 | 1 | 0.019177 | 0.054931 | 0.078020 | 0.022786 | -0.055233 | 1.0000 | -0.0070 | 276.00 | 2.00e-05 | 2:03:34 | 2:25:03
153
+ 4650 | 1 | 0.016094 | 0.054514 | 0.225247 | 0.033695 | -0.191552 | 1.0000 | -0.0071 | 279.00 | 2.00e-05 | 2:04:53 | 2:23:41
154
+ 4700 | 1 | 0.021139 | 0.054159 | 0.252133 | 0.037593 | -0.214539 | 1.0000 | -0.0072 | 282.00 | 2.00e-05 | 2:06:12 | 2:22:19
155
+ 4750 | 1 | 0.011386 | 0.053708 | 0.098678 | 0.013574 | -0.085103 | 1.0000 | -0.0074 | 285.00 | 2.00e-05 | 2:07:31 | 2:20:57
156
+ 4800 | 1 | 0.008130 | 0.053234 | 0.094669 | 0.009610 | -0.085058 | 1.0000 | -0.0075 | 288.00 | 2.00e-05 | 2:08:50 | 2:19:35
157
+ 4850 | 1 | 0.014198 | 0.052831 | 0.083058 | 0.016393 | -0.066665 | 1.0000 | -0.0076 | 291.00 | 2.00e-05 | 2:10:09 | 2:18:13
158
+ 4900 | 1 | 0.029895 | 0.052597 | 0.169623 | 0.032172 | -0.137451 | 1.0000 | -0.0078 | 294.00 | 2.00e-05 | 2:11:29 | 2:16:51
159
+ 4950 | 1 | 0.014447 | 0.052212 | 0.110928 | 0.016304 | -0.094625 | 1.0000 | -0.0079 | 297.00 | 2.00e-05 | 2:12:48 | 2:15:29
160
+ 5000 | 1 | 0.015545 | 0.051845 | 0.145604 | 0.018768 | -0.126836 | 1.0000 | -0.0080 | 300.00 | 2.00e-05 | 2:14:07 | 2:14:07
161
+ [09:58:41] [TAM @ 5000] mean=-0.0080 std=0.0135 max=0.0149 visits=39995
162
+ [09:58:41] Generating 16 validation images ...
163
+ [09:59:02] Validation step 5000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0005000.png
164
+ 5050 | 1 | 0.019557 | 0.051435 | 0.087855 | 0.023743 | -0.064112 | 1.0000 | -0.0081 | 300.00 | 2.00e-05 | 2:15:47 | 2:13:05
165
+ 5100 | 1 | 0.077001 | 0.051334 | 0.161988 | 0.083743 | -0.078245 | 1.0000 | -0.0082 | 300.00 | 2.00e-05 | 2:17:06 | 2:11:43
166
+ 5150 | 1 | 0.013732 | 0.050681 | 0.059165 | 0.015416 | -0.043749 | 1.0000 | -0.0082 | 300.00 | 2.00e-05 | 2:18:25 | 2:10:21
167
+ 5200 | 1 | 0.027218 | 0.048725 | 0.109740 | 0.029099 | -0.080641 | 1.0000 | -0.0083 | 300.00 | 2.00e-05 | 2:19:44 | 2:08:59
168
+ 5250 | 1 | 0.108149 | 0.049092 | 0.149712 | 0.109419 | -0.040293 | 1.0000 | -0.0084 | 300.00 | 2.00e-05 | 2:21:03 | 2:07:37
169
+ 5300 | 1 | 0.015604 | 0.047577 | 0.078002 | 0.016911 | -0.061091 | 1.0000 | -0.0085 | 300.00 | 2.00e-05 | 2:22:22 | 2:06:15
170
+ 5350 | 1 | 0.060152 | 0.047633 | 0.095156 | 0.061902 | -0.033254 | 1.0000 | -0.0086 | 300.00 | 2.00e-05 | 2:23:41 | 2:04:53
171
+ 5400 | 1 | 0.056745 | 0.047497 | 0.130389 | 0.059917 | -0.070472 | 1.0000 | -0.0086 | 300.00 | 2.00e-05 | 2:25:00 | 2:03:31
172
+ 5450 | 1 | 0.246875 | 0.049543 | 0.253745 | 0.243343 | -0.010402 | 1.0000 | -0.0087 | 300.00 | 2.00e-05 | 2:26:19 | 2:02:09
173
+ 5500 | 1 | 0.046836 | 0.049638 | 0.141854 | 0.050606 | -0.091248 | 1.0000 | -0.0088 | 300.00 | 2.00e-05 | 2:27:38 | 2:00:48
174
+ [10:12:13] [TAM @ 5500] mean=-0.0088 std=0.0139 max=0.0149 visits=43995
175
+ 5550 | 1 | 0.006661 | 0.048186 | 0.076584 | 0.006523 | -0.070062 | 1.0000 | -0.0089 | 300.00 | 2.00e-05 | 2:28:57 | 1:59:26
176
+ 5600 | 1 | 0.015861 | 0.047343 | 0.051959 | 0.018053 | -0.033906 | 1.0000 | -0.0089 | 300.00 | 2.00e-05 | 2:30:16 | 1:58:04
177
+ 5650 | 1 | 0.107102 | 0.047911 | 0.138330 | 0.113787 | -0.024542 | 1.0000 | -0.0090 | 300.00 | 2.00e-05 | 2:31:35 | 1:56:43
178
+ 5700 | 1 | 0.072095 | 0.048361 | 0.097211 | 0.072966 | -0.024244 | 1.0000 | -0.0091 | 300.00 | 2.00e-05 | 2:32:54 | 1:55:21
179
+ 5750 | 1 | 0.079499 | 0.048666 | 0.082387 | 0.079086 | -0.003301 | 1.0000 | -0.0092 | 300.00 | 2.00e-05 | 2:34:14 | 1:53:59
180
+ 5800 | 1 | 0.072664 | 0.048680 | 0.240957 | 0.096347 | -0.144609 | 1.0000 | -0.0092 | 300.00 | 2.00e-05 | 2:35:33 | 1:52:38
181
+ 5850 | 1 | 0.010360 | 0.048172 | 0.085819 | 0.011882 | -0.073938 | 1.0000 | -0.0093 | 300.00 | 2.00e-05 | 2:36:52 | 1:51:16
182
+ 5900 | 1 | 0.091912 | 0.048571 | 0.103697 | 0.089453 | -0.014244 | 1.0000 | -0.0094 | 300.00 | 2.00e-05 | 2:38:11 | 1:49:55
183
+ 5950 | 1 | 0.041935 | 0.048286 | 0.045667 | 0.040965 | -0.004702 | 1.0000 | -0.0095 | 300.00 | 2.00e-05 | 2:39:30 | 1:48:34
184
+ 6000 | 1 | 0.039770 | 0.048103 | 0.114681 | 0.047595 | -0.067086 | 1.0000 | -0.0095 | 300.00 | 2.00e-05 | 2:40:49 | 1:47:12
185
+ [10:25:23] [TAM @ 6000] mean=-0.0095 std=0.0143 max=0.0149 visits=47995
186
+ [10:25:28] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-6000
187
+ [10:25:28] Generating 16 validation images ...
188
+ [10:25:49] Validation step 6000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0006000.png
189
+ 6050 | 1 | 0.112584 | 0.048614 | 0.108917 | 0.103616 | -0.005301 | 1.0000 | -0.0096 | 300.00 | 2.00e-05 | 2:42:33 | 1:46:08
190
+ 6100 | 1 | 0.068049 | 0.049001 | 0.163919 | 0.069974 | -0.093945 | 1.0000 | -0.0097 | 300.00 | 2.00e-05 | 2:43:52 | 1:44:46
191
+ 6150 | 1 | 0.017801 | 0.048681 | 0.105232 | 0.019949 | -0.085282 | 1.0000 | -0.0098 | 300.00 | 2.00e-05 | 2:45:11 | 1:43:24
192
+ 6200 | 1 | 0.102440 | 0.048530 | 0.104410 | 0.097537 | -0.006873 | 1.0000 | -0.0098 | 300.00 | 2.00e-05 | 2:46:30 | 1:42:03
193
+ 6250 | 1 | 0.161889 | 0.049261 | 0.167677 | 0.159023 | -0.008654 | 1.0000 | -0.0099 | 300.00 | 2.00e-05 | 2:47:49 | 1:40:41
194
+ 6300 | 1 | 0.074328 | 0.048776 | 0.093512 | 0.073276 | -0.020235 | 1.0000 | -0.0100 | 300.00 | 2.00e-05 | 2:49:08 | 1:39:20
195
+ 6350 | 1 | 0.037172 | 0.048223 | 0.273723 | 0.054841 | -0.218882 | 1.0000 | -0.0100 | 300.00 | 2.00e-05 | 2:50:27 | 1:37:59
196
+ 6400 | 1 | 0.086614 | 0.048429 | 0.142980 | 0.087896 | -0.055084 | 1.0000 | -0.0101 | 300.00 | 2.00e-05 | 2:51:47 | 1:36:37
197
+ 6450 | 1 | 0.032304 | 0.048654 | 0.120900 | 0.034431 | -0.086469 | 1.0000 | -0.0102 | 300.00 | 2.00e-05 | 2:53:06 | 1:35:16
198
+ 6500 | 1 | 0.123175 | 0.048881 | 0.162686 | 0.120279 | -0.042407 | 1.0000 | -0.0102 | 300.00 | 2.00e-05 | 2:54:25 | 1:33:55
199
+ [10:38:59] [TAM @ 6500] mean=-0.0102 std=0.0146 max=0.0136 visits=51995
200
+ 6550 | 1 | 0.093070 | 0.049420 | 0.098015 | 0.091277 | -0.006737 | 1.0000 | -0.0103 | 300.00 | 2.00e-05 | 2:55:44 | 1:32:34
201
+ 6600 | 1 | 0.040515 | 0.049778 | 0.148839 | 0.043771 | -0.105068 | 1.0000 | -0.0104 | 300.00 | 2.00e-05 | 2:57:03 | 1:31:12
202
+ 6650 | 1 | 0.098625 | 0.049941 | 0.141812 | 0.100936 | -0.040876 | 1.0000 | -0.0105 | 300.00 | 2.00e-05 | 2:58:22 | 1:29:51
203
+ 6700 | 1 | 0.063098 | 0.050165 | 0.105926 | 0.062756 | -0.043170 | 1.0000 | -0.0106 | 300.00 | 2.00e-05 | 2:59:42 | 1:28:30
204
+ 6750 | 1 | 0.091996 | 0.049642 | 0.107002 | 0.090306 | -0.016696 | 1.0000 | -0.0106 | 300.00 | 2.00e-05 | 3:01:01 | 1:27:09
205
+ 6800 | 1 | 0.113019 | 0.049539 | 0.138737 | 0.116605 | -0.022132 | 1.0000 | -0.0107 | 300.00 | 2.00e-05 | 3:02:20 | 1:25:48
206
+ 6850 | 1 | 0.181152 | 0.050465 | 0.180634 | 0.176688 | -0.003946 | 1.0000 | -0.0108 | 300.00 | 2.00e-05 | 3:03:39 | 1:24:27
207
+ 6900 | 1 | 0.033348 | 0.050377 | 0.050382 | 0.036216 | -0.014166 | 1.0000 | -0.0108 | 300.00 | 2.00e-05 | 3:04:59 | 1:23:06
208
+ 6950 | 1 | 0.056210 | 0.049708 | 0.074704 | 0.053467 | -0.021237 | 1.0000 | -0.0109 | 300.00 | 2.00e-05 | 3:06:18 | 1:21:45
209
+ 7000 | 1 | 0.009965 | 0.048854 | 0.107408 | 0.012130 | -0.095278 | 1.0000 | -0.0110 | 300.00 | 2.00e-05 | 3:07:37 | 1:20:24
210
+ [10:52:12] [TAM @ 7000] mean=-0.0110 std=0.0149 max=0.0163 visits=55995
211
+ [10:52:12] Generating 16 validation images ...
212
+ [10:52:32] Validation step 7000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0007000.png
213
+ 7050 | 1 | 0.047344 | 0.048619 | 0.233764 | 0.070911 | -0.162853 | 1.0000 | -0.0111 | 300.00 | 2.00e-05 | 3:09:17 | 1:19:12
214
+ [10:54:38] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.046159 ---
215
+ 7100 | 2 | 0.004142 | 0.047936 | 0.049016 | 0.005646 | -0.043371 | 1.0000 | -0.0111 | 300.00 | 2.00e-05 | 3:10:36 | 1:17:51
216
+ 7150 | 2 | 0.028005 | 0.047440 | 0.117336 | 0.031259 | -0.086077 | 1.0000 | -0.0112 | 300.00 | 2.00e-05 | 3:11:55 | 1:16:30
217
+ 7200 | 2 | 0.015643 | 0.047251 | 0.097687 | 0.016851 | -0.080836 | 1.0000 | -0.0113 | 300.00 | 2.00e-05 | 3:13:14 | 1:15:09
218
+ 7250 | 2 | 0.065144 | 0.047297 | 0.141522 | 0.069269 | -0.072254 | 1.0000 | -0.0114 | 300.00 | 2.00e-05 | 3:14:33 | 1:13:48
219
+ 7300 | 2 | 0.069200 | 0.047178 | 0.152543 | 0.072537 | -0.080007 | 1.0000 | -0.0114 | 300.00 | 2.00e-05 | 3:15:53 | 1:12:27
220
+ 7350 | 2 | 0.032137 | 0.046665 | 0.093309 | 0.035479 | -0.057829 | 1.0000 | -0.0115 | 300.00 | 2.00e-05 | 3:17:12 | 1:11:06
221
+ 7400 | 2 | 0.166907 | 0.048165 | 0.178699 | 0.163058 | -0.015640 | 1.0000 | -0.0116 | 300.00 | 2.00e-05 | 3:18:31 | 1:09:45
222
+ 7450 | 2 | 0.123962 | 0.049054 | 0.237605 | 0.133133 | -0.104472 | 1.0000 | -0.0116 | 300.00 | 2.00e-05 | 3:19:51 | 1:08:24
223
+ 7500 | 2 | 0.180647 | 0.050760 | 0.178201 | 0.171347 | -0.006854 | 1.0000 | -0.0117 | 300.00 | 2.00e-05 | 3:21:10 | 1:07:03
224
+ [11:05:44] [TAM @ 7500] mean=-0.0117 std=0.0153 max=0.0163 visits=59990
225
+ 7550 | 2 | 0.073053 | 0.051223 | 0.171303 | 0.074885 | -0.096418 | 1.0000 | -0.0118 | 300.00 | 2.00e-05 | 3:22:29 | 1:05:42
226
+ 7600 | 2 | 0.006477 | 0.050746 | 0.072655 | 0.007469 | -0.065186 | 1.0000 | -0.0118 | 300.00 | 2.00e-05 | 3:23:49 | 1:04:21
227
+ 7650 | 2 | 0.089215 | 0.050809 | 0.111158 | 0.087106 | -0.024051 | 1.0000 | -0.0119 | 300.00 | 2.00e-05 | 3:25:08 | 1:03:01
228
+ 7700 | 2 | 0.197956 | 0.052687 | 0.214471 | 0.191655 | -0.022816 | 1.0000 | -0.0119 | 300.00 | 2.00e-05 | 3:26:27 | 1:01:40
229
+ 7750 | 2 | 0.090633 | 0.053467 | 0.149602 | 0.095115 | -0.054487 | 1.0000 | -0.0120 | 300.00 | 2.00e-05 | 3:27:47 | 1:00:19
230
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232
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233
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235
+ [11:18:58] [TAM @ 8000] mean=-0.0123 std=0.0157 max=0.0163 visits=63990
236
+ [11:19:03] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-8000
237
+ [11:19:04] Generating 16 validation images ...
238
+ [11:19:24] Validation step 8000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0008000.png
239
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240
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249
+ [11:32:38] [TAM @ 8500] mean=-0.0130 std=0.0162 max=0.0163 visits=67990
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253
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260
+ [11:45:51] [TAM @ 9000] mean=-0.0137 std=0.0165 max=0.0163 visits=71990
261
+ [11:45:51] Generating 16 validation images ...
262
+ [11:46:12] Validation step 9000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0009000.png
263
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282
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283
+ 10000 | 2 | 0.041149 | 0.070900 | 0.168221 | 0.046345 | -0.121876 | 1.0000 | -0.0150 | 300.00 | 2.00e-05 | 4:28:06 | 0:00:00
284
+ [12:12:40] [TAM @ 10000] mean=-0.0150 std=0.0170 max=0.0140 visits=79990
285
+ [12:12:45] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-10000
286
+ [12:12:46] Generating 16 validation images ...
287
+ [12:13:07] Validation step 10000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0010000.png
288
+ [12:13:07] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.060489 ---
289
+ [12:13:07] Saving final model ...
290
+ [12:13:19] Pipeline saved -> RESULTS/flicker8k/run_016
291
+ [12:13:19] Generating final validation collage ...
292
+ [12:13:19] Generating 16 validation images ...
293
+ [12:13:39] Validation step 10000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0010000.png
294
+ [12:13:39]
295
+ [12:13:39] ============================================================
296
+ [12:13:39] TRAINING SUMMARY
297
+ [12:13:39] ============================================================
298
+ [12:13:39] Total steps : 200
299
+ [12:13:39] Final loss : 0.041149
300
+ [12:13:39] Avg last 100 : 0.070900
301
+ [12:13:39] Min loss : 0.001165
302
+ [12:13:39] Total time : 4:29:05
303
+ [12:13:39] Output : RESULTS/flicker8k/run_016
304
+ [12:13:39] ============================================================
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+ "AutoencoderKL"
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flicker8k/pixart_sigma/SRA/training.log ADDED
@@ -0,0 +1,276 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Training started: 2026-08-20 09:56:26
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [09:56:26] Run directory: RESULTS/flicker8k/run_016
6
+ [09:56:26] Loading PixArt-Sigma components ...
7
+ [09:56:34] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [09:56:34] Building SRA teacher (EMA copy of transformer) and projection head ...
9
+ [09:56:34] Alignment: student block 6 -> teacher block 14 (of 28)
10
+ [09:56:34] Time interval k ~ U(0, 0.2) (fraction of num_train_timesteps), teacher_t = clamp(student_t - k*T, 0, T-1)
11
+ [09:56:34] Loss type: sml1, EMA decay: 0.9999
12
+ [09:56:34] Align weight: progress-based decay (default) -- start_frac=0.15, span_frac=0.35
13
+ [09:56:34] SRA projection head params: 5,311,872
14
+ [09:56:34] Building dataset ...
15
+ [09:56:34] SRA teacher initialized (synced with student weights).
16
+ [09:56:34]
17
+ [09:56:34] ================================================================
18
+ [09:56:34] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
19
+ [09:56:34] Output dir = RESULTS/flicker8k/run_016
20
+ [09:56:34] Num examples = 28315
21
+ [09:56:34] Num epochs = 3
22
+ [09:56:34] Batch/device = 8
23
+ [09:56:34] Grad accum = 1
24
+ [09:56:34] Effective BS = 8
25
+ [09:56:34] Total optim steps = 10000
26
+ [09:56:34] LR = 2e-05
27
+ [09:56:34] Precision = bf16
28
+ [09:56:34] Resolution = 512x512
29
+ [09:56:34] Max seq length = 300
30
+ [09:56:34] ================================================================
31
+ [09:56:34]
32
+ 50 | 0 | 0.277730 | 0.277730 | 2.00e-06 | 0:01:19 | 4:23:37 | Gen 0.157290 | Align 0.602200
33
+ 100 | 0 | 0.227328 | 0.252529 | 4.00e-06 | 0:02:30 | 4:08:58 | Gen 0.103150 | Align 0.620889
34
+ 150 | 0 | 0.237855 | 0.247638 | 6.00e-06 | 0:03:42 | 4:03:29 | Gen 0.120660 | Align 0.585978
35
+ 200 | 0 | 0.281351 | 0.256066 | 8.00e-06 | 0:04:54 | 4:00:09 | Gen 0.162787 | Align 0.592823
36
+ 250 | 0 | 0.326883 | 0.270230 | 1.00e-05 | 0:06:05 | 3:57:42 | Gen 0.210517 | Align 0.581832
37
+ 300 | 0 | 0.161654 | 0.252134 | 1.20e-05 | 0:07:17 | 3:55:41 | Gen 0.045077 | Align 0.582884
38
+ 350 | 0 | 0.195442 | 0.244035 | 1.40e-05 | 0:08:28 | 3:53:53 | Gen 0.079227 | Align 0.581079
39
+ 400 | 0 | 0.171571 | 0.234977 | 1.60e-05 | 0:09:40 | 3:52:14 | Gen 0.061493 | Align 0.550391
40
+ 450 | 0 | 0.228083 | 0.234211 | 1.80e-05 | 0:10:52 | 3:50:41 | Gen 0.118179 | Align 0.549520
41
+ 500 | 0 | 0.242361 | 0.235026 | 2.00e-05 | 0:12:03 | 3:49:13 | Gen 0.133818 | Align 0.542718
42
+ 550 | 0 | 0.170315 | 0.229143 | 2.00e-05 | 0:13:15 | 3:47:47 | Gen 0.064260 | Align 0.530276
43
+ 600 | 0 | 0.218369 | 0.228245 | 2.00e-05 | 0:14:27 | 3:46:24 | Gen 0.113163 | Align 0.526031
44
+ 650 | 0 | 0.216685 | 0.227356 | 2.00e-05 | 0:15:38 | 3:45:02 | Gen 0.112392 | Align 0.521464
45
+ 700 | 0 | 0.312069 | 0.233407 | 2.00e-05 | 0:16:50 | 3:43:42 | Gen 0.208367 | Align 0.518513
46
+ 750 | 0 | 0.145783 | 0.227565 | 2.00e-05 | 0:18:01 | 3:42:23 | Gen 0.045287 | Align 0.502476
47
+ 800 | 0 | 0.279683 | 0.230823 | 2.00e-05 | 0:19:13 | 3:41:05 | Gen 0.175975 | Align 0.518540
48
+ 850 | 0 | 0.182550 | 0.227983 | 1.99e-05 | 0:20:25 | 3:39:47 | Gen 0.086216 | Align 0.481670
49
+ 900 | 0 | 0.286305 | 0.231223 | 1.99e-05 | 0:21:36 | 3:38:30 | Gen 0.182646 | Align 0.518295
50
+ 950 | 0 | 0.237922 | 0.231576 | 1.99e-05 | 0:22:48 | 3:37:14 | Gen 0.136495 | Align 0.507135
51
+ 1000 | 0 | 0.135023 | 0.226748 | 1.99e-05 | 0:23:59 | 3:35:59 | Gen 0.033262 | Align 0.508806
52
+ [10:20:27] Generating 16 validation images ...
53
+ [10:20:48] Validation step 1000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0001000.png
54
+ 1050 | 0 | 0.199392 | 0.225445 | 1.98e-05 | 0:25:33 | 3:37:48 | Gen 0.103624 | Align 0.478841
55
+ 1100 | 0 | 0.344738 | 0.230868 | 1.98e-05 | 0:26:44 | 3:36:23 | Gen 0.245175 | Align 0.497818
56
+ 1150 | 0 | 0.367861 | 0.236824 | 1.98e-05 | 0:27:56 | 3:35:00 | Gen 0.266323 | Align 0.507691
57
+ 1200 | 0 | 0.203407 | 0.235432 | 1.97e-05 | 0:29:07 | 3:33:38 | Gen 0.104722 | Align 0.493423
58
+ 1250 | 0 | 0.162361 | 0.232509 | 1.97e-05 | 0:30:19 | 3:32:16 | Gen 0.068104 | Align 0.471283
59
+ 1300 | 0 | 0.240904 | 0.232832 | 1.97e-05 | 0:31:31 | 3:30:56 | Gen 0.139752 | Align 0.505758
60
+ 1350 | 0 | 0.191780 | 0.231311 | 1.96e-05 | 0:32:42 | 3:29:36 | Gen 0.100981 | Align 0.453993
61
+ 1400 | 0 | 0.230177 | 0.231271 | 1.96e-05 | 0:33:54 | 3:28:16 | Gen 0.131198 | Align 0.494892
62
+ 1450 | 0 | 0.274455 | 0.232760 | 1.95e-05 | 0:35:05 | 3:26:58 | Gen 0.179450 | Align 0.475024
63
+ 1500 | 0 | 0.108371 | 0.228614 | 1.95e-05 | 0:36:17 | 3:25:39 | Gen 0.018262 | Align 0.450543
64
+ 1550 | 0 | 0.145191 | 0.225923 | 1.94e-05 | 0:37:29 | 3:24:21 | Gen 0.053343 | Align 0.474286
65
+ 1600 | 0 | 0.236676 | 0.226259 | 1.93e-05 | 0:38:40 | 3:23:04 | Gen 0.145937 | Align 0.484225
66
+ 1650 | 0 | 0.114352 | 0.222867 | 1.93e-05 | 0:39:52 | 3:21:46 | Gen 0.031602 | Align 0.456364
67
+ 1700 | 0 | 0.103840 | 0.219367 | 1.92e-05 | 0:41:03 | 3:20:29 | Gen 0.023842 | Align 0.455942
68
+ 1750 | 0 | 0.221133 | 0.219417 | 1.92e-05 | 0:42:15 | 3:19:13 | Gen 0.140076 | Align 0.477422
69
+ 1800 | 0 | 0.243596 | 0.220089 | 1.91e-05 | 0:43:27 | 3:17:56 | Gen 0.162575 | Align 0.493169
70
+ 1850 | 0 | 0.227533 | 0.220290 | 1.90e-05 | 0:44:38 | 3:16:40 | Gen 0.149702 | Align 0.489599
71
+ 1900 | 0 | 0.224685 | 0.220406 | 1.89e-05 | 0:45:50 | 3:15:25 | Gen 0.147000 | Align 0.505018
72
+ 1950 | 0 | 0.178660 | 0.219335 | 1.89e-05 | 0:47:01 | 3:14:09 | Gen 0.105378 | Align 0.492322
73
+ 2000 | 0 | 0.448040 | 0.225053 | 1.88e-05 | 0:48:13 | 3:12:54 | Gen 0.374793 | Align 0.508546
74
+ [10:44:46] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-2000
75
+ [10:44:46] Generating 16 validation images ...
76
+ [10:45:07] Validation step 2000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0002000.png
77
+ 2050 | 0 | 0.215984 | 0.224832 | 1.87e-05 | 0:49:52 | 3:13:24 | Gen 0.147573 | Align 0.490855
78
+ 2100 | 0 | 0.106529 | 0.222015 | 1.86e-05 | 0:51:03 | 3:12:06 | Gen 0.043584 | Align 0.466739
79
+ 2150 | 0 | 0.125536 | 0.219771 | 1.85e-05 | 0:52:15 | 3:10:48 | Gen 0.064978 | Align 0.464055
80
+ 2200 | 0 | 0.169979 | 0.218640 | 1.85e-05 | 0:53:27 | 3:09:30 | Gen 0.112967 | Align 0.451489
81
+ 2250 | 0 | 0.269169 | 0.219762 | 1.84e-05 | 0:54:38 | 3:08:13 | Gen 0.206987 | Align 0.508902
82
+ 2300 | 0 | 0.164502 | 0.218561 | 1.83e-05 | 0:55:50 | 3:06:56 | Gen 0.106025 | Align 0.494586
83
+ 2350 | 0 | 0.180578 | 0.217753 | 1.82e-05 | 0:57:01 | 3:05:39 | Gen 0.125697 | Align 0.479691
84
+ 2400 | 0 | 0.295688 | 0.219377 | 1.81e-05 | 0:58:13 | 3:04:22 | Gen 0.238996 | Align 0.512090
85
+ 2450 | 0 | 0.173545 | 0.218441 | 1.80e-05 | 0:59:25 | 3:03:06 | Gen 0.123874 | Align 0.463680
86
+ 2500 | 0 | 0.101272 | 0.216098 | 1.79e-05 | 1:00:36 | 3:01:49 | Gen 0.055116 | Align 0.445274
87
+ 2550 | 0 | 0.133203 | 0.214473 | 1.78e-05 | 1:01:48 | 3:00:33 | Gen 0.085883 | Align 0.471769
88
+ 2600 | 0 | 0.118465 | 0.212626 | 1.77e-05 | 1:02:59 | 2:59:18 | Gen 0.073827 | Align 0.459918
89
+ 2650 | 0 | 0.107579 | 0.210644 | 1.76e-05 | 1:04:11 | 2:58:02 | Gen 0.064389 | Align 0.459877
90
+ 2700 | 0 | 0.084383 | 0.208306 | 1.75e-05 | 1:05:23 | 2:56:46 | Gen 0.041457 | Align 0.472355
91
+ 2750 | 0 | 0.196352 | 0.208089 | 1.74e-05 | 1:06:34 | 2:55:31 | Gen 0.153704 | Align 0.484982
92
+ 2800 | 0 | 0.189080 | 0.207749 | 1.72e-05 | 1:07:46 | 2:54:16 | Gen 0.146463 | Align 0.500838
93
+ 2850 | 0 | 0.179616 | 0.207256 | 1.71e-05 | 1:08:57 | 2:53:01 | Gen 0.137053 | Align 0.516927
94
+ 2900 | 0 | 0.164758 | 0.206523 | 1.70e-05 | 1:10:09 | 2:51:46 | Gen 0.125229 | Align 0.496137
95
+ 2950 | 0 | 0.177404 | 0.206029 | 1.69e-05 | 1:11:21 | 2:50:31 | Gen 0.139416 | Align 0.492740
96
+ 3000 | 0 | 0.110552 | 0.204438 | 1.68e-05 | 1:12:32 | 2:49:16 | Gen 0.076436 | Align 0.457326
97
+ [11:08:59] Generating 16 validation images ...
98
+ [11:09:20] Validation step 3000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0003000.png
99
+ 3050 | 0 | 0.108905 | 0.202872 | 1.67e-05 | 1:14:05 | 2:48:50 | Gen 0.075565 | Align 0.461863
100
+ 3100 | 0 | 0.136581 | 0.201803 | 1.65e-05 | 1:15:17 | 2:47:34 | Gen 0.104194 | Align 0.463663
101
+ 3150 | 0 | 0.185449 | 0.201543 | 1.64e-05 | 1:16:28 | 2:46:18 | Gen 0.153215 | Align 0.476892
102
+ 3200 | 0 | 0.173652 | 0.201107 | 1.63e-05 | 1:17:40 | 2:45:03 | Gen 0.142645 | Align 0.474088
103
+ 3250 | 0 | 0.221436 | 0.201420 | 1.61e-05 | 1:18:52 | 2:43:48 | Gen 0.190874 | Align 0.482916
104
+ 3300 | 0 | 0.118073 | 0.200157 | 1.60e-05 | 1:20:03 | 2:42:32 | Gen 0.091228 | Align 0.438360
105
+ 3350 | 0 | 0.170680 | 0.199717 | 1.59e-05 | 1:21:15 | 2:41:17 | Gen 0.141279 | Align 0.496143
106
+ 3400 | 0 | 0.052957 | 0.197559 | 1.57e-05 | 1:22:26 | 2:40:02 | Gen 0.026113 | Align 0.468155
107
+ 3450 | 0 | 0.148712 | 0.196851 | 1.56e-05 | 1:23:38 | 2:38:47 | Gen 0.122353 | Align 0.475077
108
+ 3500 | 0 | 0.148657 | 0.196163 | 1.55e-05 | 1:24:50 | 2:37:33 | Gen 0.122894 | Align 0.479858
109
+ [11:22:13] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.193026 ---
110
+ 3550 | 1 | 0.131187 | 0.195248 | 1.53e-05 | 1:26:01 | 2:36:17 | Gen 0.106464 | Align 0.475895
111
+ 3600 | 1 | 0.110284 | 0.194068 | 1.52e-05 | 1:27:12 | 2:35:02 | Gen 0.086895 | Align 0.465273
112
+ 3650 | 1 | 0.102438 | 0.192812 | 1.50e-05 | 1:28:24 | 2:33:47 | Gen 0.079446 | Align 0.472671
113
+ 3700 | 1 | 0.131806 | 0.191988 | 1.49e-05 | 1:29:35 | 2:32:33 | Gen 0.110062 | Align 0.461956
114
+ 3750 | 1 | 0.232958 | 0.192534 | 1.48e-05 | 1:30:47 | 2:31:19 | Gen 0.209427 | Align 0.516645
115
+ 3800 | 1 | 0.080961 | 0.191066 | 1.46e-05 | 1:31:59 | 2:30:04 | Gen 0.060358 | Align 0.467458
116
+ 3850 | 1 | 0.153810 | 0.190582 | 1.45e-05 | 1:33:10 | 2:28:50 | Gen 0.132398 | Align 0.502067
117
+ 3900 | 1 | 0.187013 | 0.190537 | 1.43e-05 | 1:34:22 | 2:27:36 | Gen 0.167182 | Align 0.480538
118
+ 3950 | 1 | 0.154122 | 0.190076 | 1.42e-05 | 1:35:33 | 2:26:22 | Gen 0.134692 | Align 0.486594
119
+ 4000 | 1 | 0.157947 | 0.189674 | 1.40e-05 | 1:36:45 | 2:25:08 | Gen 0.138841 | Align 0.494461
120
+ [11:33:17] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-4000
121
+ [11:33:18] Generating 16 validation images ...
122
+ [11:33:38] Validation step 4000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0004000.png
123
+ 4050 | 1 | 0.165425 | 0.189375 | 1.39e-05 | 1:38:23 | 2:24:33 | Gen 0.146645 | Align 0.502278
124
+ 4100 | 1 | 0.264258 | 0.190288 | 1.37e-05 | 1:39:35 | 2:23:18 | Gen 0.246925 | Align 0.479099
125
+ 4150 | 1 | 0.164623 | 0.189979 | 1.36e-05 | 1:40:46 | 2:22:03 | Gen 0.147758 | Align 0.481747
126
+ 4200 | 1 | 0.172033 | 0.189765 | 1.34e-05 | 1:41:58 | 2:20:49 | Gen 0.155124 | Align 0.499139
127
+ 4250 | 1 | 0.190536 | 0.189774 | 1.32e-05 | 1:43:10 | 2:19:34 | Gen 0.174139 | Align 0.500215
128
+ 4300 | 1 | 0.194249 | 0.189826 | 1.31e-05 | 1:44:21 | 2:18:20 | Gen 0.179319 | Align 0.470704
129
+ 4350 | 1 | 0.130484 | 0.189144 | 1.29e-05 | 1:45:33 | 2:17:06 | Gen 0.115731 | Align 0.480677
130
+ 4400 | 1 | 0.224297 | 0.189543 | 1.28e-05 | 1:46:44 | 2:15:51 | Gen 0.209057 | Align 0.513147
131
+ 4450 | 1 | 0.133281 | 0.188911 | 1.26e-05 | 1:47:56 | 2:14:37 | Gen 0.119298 | Align 0.486576
132
+ 4500 | 1 | 0.103155 | 0.187958 | 1.25e-05 | 1:49:08 | 2:13:23 | Gen 0.090445 | Align 0.457061
133
+ 4550 | 1 | 0.078352 | 0.186754 | 1.23e-05 | 1:50:19 | 2:12:09 | Gen 0.065408 | Align 0.481043
134
+ 4600 | 1 | 0.121873 | 0.186049 | 1.21e-05 | 1:51:31 | 2:10:55 | Gen 0.109209 | Align 0.486384
135
+ 4650 | 1 | 0.056792 | 0.184659 | 1.20e-05 | 1:52:42 | 2:09:41 | Gen 0.044514 | Align 0.487309
136
+ 4700 | 1 | 0.105528 | 0.183817 | 1.18e-05 | 1:53:54 | 2:08:27 | Gen 0.094425 | Align 0.455437
137
+ 4750 | 1 | 0.070338 | 0.182623 | 1.16e-05 | 1:55:06 | 2:07:13 | Gen 0.059369 | Align 0.464964
138
+ 4800 | 1 | 0.031463 | 0.181048 | 1.15e-05 | 1:56:17 | 2:05:59 | Gen 0.021020 | Align 0.457437
139
+ 4850 | 1 | 0.275507 | 0.182022 | 1.13e-05 | 1:57:29 | 2:04:45 | Gen 0.264619 | Align 0.492879
140
+ 4900 | 1 | 0.051911 | 0.180694 | 1.12e-05 | 1:58:40 | 2:03:31 | Gen 0.042302 | Align 0.449550
141
+ 4950 | 1 | 0.118751 | 0.180068 | 1.10e-05 | 1:59:52 | 2:02:17 | Gen 0.108682 | Align 0.486821
142
+ 5000 | 1 | 0.193809 | 0.180206 | 1.08e-05 | 2:01:03 | 2:01:03 | Gen 0.184515 | Align 0.464404
143
+ [11:57:30] Generating 16 validation images ...
144
+ [11:57:51] Validation step 5000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0005000.png
145
+ 5050 | 1 | 0.079718 | 0.178226 | 1.07e-05 | 2:02:36 | 2:00:10 | Gen 0.070899 | Align 0.455372
146
+ 5100 | 1 | 0.128702 | 0.177239 | 1.05e-05 | 2:03:47 | 1:58:56 | Gen 0.120051 | Align 0.461655
147
+ 5150 | 1 | 0.116411 | 0.176025 | 1.03e-05 | 2:04:59 | 1:57:42 | Gen 0.107612 | Align 0.485257
148
+ 5200 | 1 | 0.139499 | 0.174606 | 1.02e-05 | 2:06:10 | 1:56:28 | Gen 0.130937 | Align 0.488021
149
+ 5250 | 1 | 0.162976 | 0.172967 | 1.00e-05 | 2:07:22 | 1:55:14 | Gen 0.154703 | Align 0.487245
150
+ 5300 | 1 | 0.267299 | 0.174024 | 9.83e-06 | 2:08:33 | 1:54:00 | Gen 0.259067 | Align 0.501048
151
+ 5350 | 1 | 0.284401 | 0.174913 | 9.67e-06 | 2:09:45 | 1:52:46 | Gen 0.276035 | Align 0.526307
152
+ 5400 | 1 | 0.104191 | 0.174240 | 9.50e-06 | 2:10:56 | 1:51:32 | Gen 0.096852 | Align 0.477113
153
+ 5450 | 1 | 0.068695 | 0.172646 | 9.34e-06 | 2:12:08 | 1:50:19 | Gen 0.061352 | Align 0.493260
154
+ 5500 | 1 | 0.338290 | 0.173605 | 9.17e-06 | 2:13:20 | 1:49:05 | Gen 0.330952 | Align 0.509514
155
+ 5550 | 1 | 0.126113 | 0.173163 | 9.01e-06 | 2:14:31 | 1:47:51 | Gen 0.119350 | Align 0.485206
156
+ 5600 | 1 | 0.038758 | 0.171367 | 8.85e-06 | 2:15:43 | 1:46:38 | Gen 0.032731 | Align 0.446891
157
+ 5650 | 1 | 0.144184 | 0.170642 | 8.68e-06 | 2:16:54 | 1:45:24 | Gen 0.137610 | Align 0.503775
158
+ 5700 | 1 | 0.175636 | 0.169278 | 8.52e-06 | 2:18:06 | 1:44:11 | Gen 0.169237 | Align 0.506748
159
+ 5750 | 1 | 0.060604 | 0.168426 | 8.35e-06 | 2:19:18 | 1:42:57 | Gen 0.054941 | Align 0.463451
160
+ 5800 | 1 | 0.078462 | 0.166414 | 8.19e-06 | 2:20:29 | 1:41:44 | Gen 0.072573 | Align 0.498118
161
+ 5850 | 1 | 0.194023 | 0.166528 | 8.03e-06 | 2:21:41 | 1:40:30 | Gen 0.188535 | Align 0.479727
162
+ 5900 | 1 | 0.072751 | 0.164393 | 7.87e-06 | 2:22:52 | 1:39:17 | Gen 0.067448 | Align 0.478974
163
+ 5950 | 1 | 0.102568 | 0.163039 | 7.71e-06 | 2:24:04 | 1:38:04 | Gen 0.097972 | Align 0.429071
164
+ 6000 | 1 | 0.216351 | 0.163852 | 7.55e-06 | 2:25:15 | 1:36:50 | Gen 0.211300 | Align 0.487343
165
+ [12:21:48] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-6000
166
+ [12:21:48] Generating 16 validation images ...
167
+ [12:22:09] Validation step 6000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0006000.png
168
+ 6050 | 1 | 0.154925 | 0.163408 | 7.39e-06 | 2:26:54 | 1:35:54 | Gen 0.149890 | Align 0.501920
169
+ 6100 | 1 | 0.171876 | 0.161679 | 7.23e-06 | 2:28:05 | 1:34:41 | Gen 0.167065 | Align 0.495648
170
+ 6150 | 1 | 0.078265 | 0.158783 | 7.07e-06 | 2:29:17 | 1:33:27 | Gen 0.073608 | Align 0.495880
171
+ 6200 | 1 | 0.214195 | 0.158891 | 6.91e-06 | 2:30:28 | 1:32:13 | Gen 0.209845 | Align 0.478725
172
+ 6250 | 1 | 0.109752 | 0.158365 | 6.75e-06 | 2:31:40 | 1:31:00 | Gen 0.105449 | Align 0.489319
173
+ 6300 | 1 | 0.145501 | 0.157411 | 6.60e-06 | 2:32:52 | 1:29:46 | Gen 0.141347 | Align 0.488266
174
+ 6350 | 1 | 0.197369 | 0.157467 | 6.44e-06 | 2:34:03 | 1:28:33 | Gen 0.193379 | Align 0.484509
175
+ 6400 | 1 | 0.196432 | 0.157129 | 6.29e-06 | 2:35:15 | 1:27:19 | Gen 0.192496 | Align 0.494013
176
+ 6450 | 1 | 0.078959 | 0.155174 | 6.14e-06 | 2:36:27 | 1:26:06 | Gen 0.075274 | Align 0.477952
177
+ 6500 | 1 | 0.228563 | 0.156376 | 5.98e-06 | 2:37:38 | 1:24:53 | Gen 0.224618 | Align 0.528856
178
+ 6550 | 1 | 0.153214 | 0.156457 | 5.83e-06 | 2:38:50 | 1:23:39 | Gen 0.149914 | Align 0.457055
179
+ 6600 | 1 | 0.089409 | 0.154984 | 5.68e-06 | 2:40:01 | 1:22:26 | Gen 0.086093 | Align 0.474747
180
+ 6650 | 1 | 0.307733 | 0.156918 | 5.53e-06 | 2:41:13 | 1:21:13 | Gen 0.304405 | Align 0.492379
181
+ 6700 | 1 | 0.099618 | 0.156876 | 5.39e-06 | 2:42:24 | 1:19:59 | Gen 0.096597 | Align 0.461869
182
+ 6750 | 1 | 0.088381 | 0.155548 | 5.24e-06 | 2:43:36 | 1:18:46 | Gen 0.085450 | Align 0.463136
183
+ 6800 | 1 | 0.131617 | 0.154428 | 5.10e-06 | 2:44:48 | 1:17:33 | Gen 0.128639 | Align 0.486188
184
+ 6850 | 1 | 0.165282 | 0.153806 | 4.95e-06 | 2:45:59 | 1:16:20 | Gen 0.162448 | Align 0.478258
185
+ 6900 | 1 | 0.087948 | 0.152438 | 4.81e-06 | 2:47:11 | 1:15:06 | Gen 0.085275 | Align 0.466250
186
+ 6950 | 1 | 0.027284 | 0.150925 | 4.67e-06 | 2:48:23 | 1:13:53 | Gen 0.024773 | Align 0.452673
187
+ 7000 | 1 | 0.056536 | 0.147010 | 4.53e-06 | 2:49:34 | 1:12:40 | Gen 0.054199 | Align 0.435428
188
+ [12:46:01] Generating 16 validation images ...
189
+ [12:46:22] Validation step 7000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0007000.png
190
+ 7050 | 1 | 0.113460 | 0.145984 | 4.39e-06 | 2:51:07 | 1:11:36 | Gen 0.110914 | Align 0.490093
191
+ [12:48:16] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.127780 ---
192
+ 7100 | 2 | 0.054838 | 0.145467 | 4.26e-06 | 2:52:18 | 1:10:22 | Gen 0.052356 | Align 0.493676
193
+ 7150 | 2 | 0.149224 | 0.145704 | 4.12e-06 | 2:53:29 | 1:09:09 | Gen 0.146975 | Align 0.462318
194
+ 7200 | 2 | 0.122457 | 0.145229 | 3.99e-06 | 2:54:41 | 1:07:56 | Gen 0.120154 | Align 0.489165
195
+ 7250 | 2 | 0.186071 | 0.144398 | 3.86e-06 | 2:55:52 | 1:06:42 | Gen 0.183780 | Align 0.502953
196
+ 7300 | 2 | 0.162034 | 0.144373 | 3.73e-06 | 2:57:04 | 1:05:29 | Gen 0.159868 | Align 0.491338
197
+ 7350 | 2 | 0.053888 | 0.143106 | 3.60e-06 | 2:58:16 | 1:04:16 | Gen 0.051987 | Align 0.445827
198
+ 7400 | 2 | 0.137256 | 0.141522 | 3.47e-06 | 2:59:27 | 1:03:03 | Gen 0.135331 | Align 0.466368
199
+ 7450 | 2 | 0.075951 | 0.140546 | 3.35e-06 | 3:00:39 | 1:01:50 | Gen 0.074027 | Align 0.481789
200
+ 7500 | 2 | 0.121848 | 0.140752 | 3.23e-06 | 3:01:50 | 1:00:36 | Gen 0.120036 | Align 0.469148
201
+ 7550 | 2 | 0.065365 | 0.140074 | 3.11e-06 | 3:03:02 | 0:59:23 | Gen 0.063683 | Align 0.449895
202
+ 7600 | 2 | 0.032014 | 0.139209 | 2.99e-06 | 3:04:14 | 0:58:10 | Gen 0.030268 | Align 0.482753
203
+ 7650 | 2 | 0.148637 | 0.139620 | 2.87e-06 | 3:05:25 | 0:56:57 | Gen 0.146929 | Align 0.487769
204
+ 7700 | 2 | 0.169013 | 0.140466 | 2.76e-06 | 3:06:37 | 0:55:44 | Gen 0.167268 | Align 0.515116
205
+ 7750 | 2 | 0.037481 | 0.138877 | 2.64e-06 | 3:07:49 | 0:54:31 | Gen 0.035852 | Align 0.496787
206
+ 7800 | 2 | 0.089552 | 0.137882 | 2.53e-06 | 3:09:00 | 0:53:18 | Gen 0.088013 | Align 0.485214
207
+ 7850 | 2 | 0.150586 | 0.137592 | 2.42e-06 | 3:10:12 | 0:52:05 | Gen 0.149073 | Align 0.493030
208
+ 7900 | 2 | 0.171455 | 0.137659 | 2.32e-06 | 3:11:23 | 0:50:52 | Gen 0.169994 | Align 0.492111
209
+ 7950 | 2 | 0.176646 | 0.137651 | 2.21e-06 | 3:12:35 | 0:49:39 | Gen 0.175261 | Align 0.481879
210
+ 8000 | 2 | 0.158910 | 0.138135 | 2.11e-06 | 3:13:47 | 0:48:26 | Gen 0.157495 | Align 0.508890
211
+ [13:10:19] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-8000
212
+ [13:10:20] Generating 16 validation images ...
213
+ [13:10:41] Validation step 8000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0008000.png
214
+ 8050 | 2 | 0.134907 | 0.138395 | 2.01e-06 | 3:15:26 | 0:47:20 | Gen 0.133615 | Align 0.480467
215
+ 8100 | 2 | 0.031032 | 0.137339 | 1.91e-06 | 3:16:37 | 0:46:07 | Gen 0.029876 | Align 0.444112
216
+ 8150 | 2 | 0.193849 | 0.137423 | 1.81e-06 | 3:17:49 | 0:44:54 | Gen 0.192501 | Align 0.535011
217
+ 8200 | 2 | 0.124934 | 0.136936 | 1.72e-06 | 3:19:00 | 0:43:41 | Gen 0.123737 | Align 0.490739
218
+ 8250 | 2 | 0.102814 | 0.135750 | 1.63e-06 | 3:20:12 | 0:42:28 | Gen 0.101674 | Align 0.482947
219
+ 8300 | 2 | 0.178980 | 0.136359 | 1.54e-06 | 3:21:24 | 0:41:15 | Gen 0.177868 | Align 0.487350
220
+ 8350 | 2 | 0.121855 | 0.135871 | 1.45e-06 | 3:22:35 | 0:40:02 | Gen 0.120764 | Align 0.493886
221
+ 8400 | 2 | 0.044009 | 0.135781 | 1.37e-06 | 3:23:47 | 0:38:49 | Gen 0.043035 | Align 0.455439
222
+ 8450 | 2 | 0.226314 | 0.136557 | 1.29e-06 | 3:24:58 | 0:37:36 | Gen 0.225368 | Align 0.457593
223
+ 8500 | 2 | 0.210188 | 0.137172 | 1.21e-06 | 3:26:10 | 0:36:23 | Gen 0.209209 | Align 0.489299
224
+ 8550 | 2 | 0.227408 | 0.138135 | 1.13e-06 | 3:27:22 | 0:35:10 | Gen 0.226446 | Align 0.496684
225
+ 8600 | 2 | 0.229794 | 0.139330 | 1.05e-06 | 3:28:33 | 0:33:57 | Gen 0.228930 | Align 0.460767
226
+ 8650 | 2 | 0.091151 | 0.139217 | 9.80e-07 | 3:29:45 | 0:32:44 | Gen 0.090267 | Align 0.487364
227
+ 8700 | 2 | 0.054157 | 0.138440 | 9.10e-07 | 3:30:56 | 0:31:31 | Gen 0.053391 | Align 0.436332
228
+ 8750 | 2 | 0.095370 | 0.137064 | 8.42e-07 | 3:32:08 | 0:30:18 | Gen 0.094565 | Align 0.474105
229
+ 8800 | 2 | 0.088952 | 0.137144 | 7.77e-07 | 3:33:20 | 0:29:05 | Gen 0.088217 | Align 0.447129
230
+ 8850 | 2 | 0.118481 | 0.136791 | 7.14e-07 | 3:34:31 | 0:27:52 | Gen 0.117698 | Align 0.492337
231
+ 8900 | 2 | 0.029025 | 0.135211 | 6.54e-07 | 3:35:43 | 0:26:39 | Gen 0.028334 | Align 0.449434
232
+ 8950 | 2 | 0.131983 | 0.134990 | 5.97e-07 | 3:36:54 | 0:25:26 | Gen 0.131246 | Align 0.495061
233
+ 9000 | 2 | 0.199590 | 0.135406 | 5.42e-07 | 3:38:06 | 0:24:14 | Gen 0.198853 | Align 0.511668
234
+ [13:34:33] Generating 16 validation images ...
235
+ [13:34:54] Validation step 9000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0009000.png
236
+ 9050 | 2 | 0.172053 | 0.135473 | 4.89e-07 | 3:39:39 | 0:23:03 | Gen 0.171435 | Align 0.443964
237
+ 9100 | 2 | 0.056396 | 0.133394 | 4.40e-07 | 3:40:50 | 0:21:50 | Gen 0.055835 | Align 0.416019
238
+ 9150 | 2 | 0.156017 | 0.133308 | 3.92e-07 | 3:42:02 | 0:20:37 | Gen 0.155363 | Align 0.501274
239
+ 9200 | 2 | 0.105465 | 0.132642 | 3.48e-07 | 3:43:13 | 0:19:24 | Gen 0.104846 | Align 0.490255
240
+ 9250 | 2 | 0.173889 | 0.132476 | 3.06e-07 | 3:44:25 | 0:18:11 | Gen 0.173266 | Align 0.509591
241
+ 9300 | 2 | 0.160876 | 0.132142 | 2.67e-07 | 3:45:36 | 0:16:58 | Gen 0.160282 | Align 0.501905
242
+ 9350 | 2 | 0.141951 | 0.132257 | 2.30e-07 | 3:46:48 | 0:15:46 | Gen 0.141411 | Align 0.471562
243
+ 9400 | 2 | 0.067017 | 0.130684 | 1.96e-07 | 3:48:00 | 0:14:33 | Gen 0.066503 | Align 0.464097
244
+ 9450 | 2 | 0.060922 | 0.129960 | 1.65e-07 | 3:49:11 | 0:13:20 | Gen 0.060411 | Align 0.476582
245
+ 9500 | 2 | 0.139908 | 0.130328 | 1.36e-07 | 3:50:23 | 0:12:07 | Gen 0.139386 | Align 0.502821
246
+ 9550 | 2 | 0.076754 | 0.130312 | 1.11e-07 | 3:51:34 | 0:10:54 | Gen 0.076285 | Align 0.467582
247
+ 9600 | 2 | 0.101997 | 0.130113 | 8.74e-08 | 3:52:46 | 0:09:41 | Gen 0.101528 | Align 0.483430
248
+ 9650 | 2 | 0.203400 | 0.131579 | 6.69e-08 | 3:53:57 | 0:08:29 | Gen 0.202953 | Align 0.475766
249
+ 9700 | 2 | 0.142101 | 0.131945 | 4.92e-08 | 3:55:09 | 0:07:16 | Gen 0.141679 | Align 0.464935
250
+ 9750 | 2 | 0.303554 | 0.134277 | 3.42e-08 | 3:56:21 | 0:06:03 | Gen 0.303105 | Align 0.510969
251
+ 9800 | 2 | 0.056948 | 0.134532 | 2.19e-08 | 3:57:32 | 0:04:50 | Gen 0.056561 | Align 0.455340
252
+ 9850 | 2 | 0.135580 | 0.133133 | 1.23e-08 | 3:58:44 | 0:03:38 | Gen 0.135171 | Align 0.496753
253
+ 9900 | 2 | 0.215743 | 0.134771 | 5.47e-09 | 3:59:55 | 0:02:25 | Gen 0.215369 | Align 0.468930
254
+ 9950 | 2 | 0.108085 | 0.134664 | 1.37e-09 | 4:01:07 | 0:01:12 | Gen 0.107714 | Align 0.480410
255
+ 10000 | 2 | 0.083561 | 0.133562 | 0.00e+00 | 4:02:18 | 0:00:00 | Gen 0.083201 | Align 0.482852
256
+ [13:58:51] Saved checkpoint -> RESULTS/flicker8k/run_016/checkpoint-10000
257
+ [13:58:52] Generating 16 validation images ...
258
+ [13:59:13] Validation step 10000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0010000.png
259
+ [13:59:13] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.119423 ---
260
+ [13:59:13] Saving final model ...
261
+ [13:59:25] Pipeline saved -> RESULTS/flicker8k/run_016
262
+ [13:59:26] SRA teacher + projection head saved -> RESULTS/flicker8k/run_016/sra (both are training-only auxiliaries; not needed for inference)
263
+ [13:59:26] Generating final validation collage ...
264
+ [13:59:26] Generating 16 validation images ...
265
+ [13:59:47] Validation step 10000: 16 images -> RESULTS/flicker8k/run_016/validation/collage_step_0010000.png
266
+ [13:59:47]
267
+ [13:59:47] ============================================================
268
+ [13:59:47] TRAINING SUMMARY
269
+ [13:59:47] ============================================================
270
+ [13:59:47] Total steps : 200
271
+ [13:59:47] Final loss : 0.083561
272
+ [13:59:47] Avg last 100 : 0.133562
273
+ [13:59:47] Min loss : 0.027284
274
+ [13:59:47] Total time : 4:03:20
275
+ [13:59:47] Output : RESULTS/flicker8k/run_016
276
+ [13:59:47] ============================================================
flicker8k/pixart_sigma/SRA/training_args.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/flicker8k",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
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+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
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+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "learning_rate": 2e-05,
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+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.01,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 3,
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+ "resume_from_checkpoint": null,
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+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
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+ "use_sra": true,
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+ "sra_block_student": 6,
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+ "sra_block_teacher": 14,
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+ "sra_t_max": 0.2,
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+ "sra_weighting": "progress",
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+ "sra_decay_start_frac": 0.15,
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+ "sra_decay_span_frac": 0.35,
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+ "sra_lambda": 0.2,
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+ "sra_epoch_decay_start": 99,
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+ "sra_epoch_decay_span": 800,
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+ "sra_loss_type": "sml1",
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+ "sra_ema_decay": 0.9999,
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+ "max_sequence_length": 300,
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+ "dataloader_num_workers": 4,
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+ "output_dir": "RESULTS/flicker8k/run_016"
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+ }
flicker8k/pixart_sigma/SRA/training_summary.json ADDED
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1
+ {
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+ "total_steps": 200,
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+ "final_loss": 0.0835607573390007,
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+ "avg_last_100": 0.1335618307068944,
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+ "min_loss": 0.027284208685159683,
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+ "total_time": "4:03:20"
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+ }
flicker8k/pixart_sigma/SRA/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "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": 1,
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+ "norm_elementwise_affine": false,
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+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
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+ "norm_type": "ada_norm_single",
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+ "num_attention_heads": 16,
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+ "num_embeds_ada_norm": 1000,
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+ "num_layers": 28,
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+ "num_vector_embeds": null,
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+ "only_cross_attention": false,
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+ "out_channels": 8,
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+ "patch_size": 2,
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+ "sample_size": 64,
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+ "upcast_attention": false,
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+ "use_additional_conditions": null,
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+ "use_linear_projection": false
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+ }
flicker8k/pixart_sigma/SRA/vae/config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "act_fn": "silu",
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+ "block_out_channels": [
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+ 128,
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+ 256,
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+ 512,
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+ 512
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+ ],
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+ "down_block_types": [
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+ "DownEncoderBlock2D",
14
+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D",
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+ "DownEncoderBlock2D"
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+ ],
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+ "force_upcast": false,
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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": 512,
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+ "scaling_factor": 0.13025,
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+ "shift_factor": null,
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+ "up_block_types": [
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+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D",
33
+ "UpDecoderBlock2D",
34
+ "UpDecoderBlock2D"
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+ ],
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+ "use_post_quant_conv": true,
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+ "use_quant_conv": true
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+ }
flicker8k/pixart_sigma/SpeeD/checkpoint-10000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "_class_name": "PixArtTransformer2DModel",
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+ "_diffusers_version": "0.37.1",
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+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "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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flicker8k/pixart_sigma/SpeeD/training.log ADDED
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1
+ Training started: 2026-08-19 18:45:27
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [18:45:27] Run directory: RESULTS/flicker8k/run_015
6
+ [18:45:27] Loading PixArt-Sigma components ...
7
+ [18:45:34] SpeeD-style sampling ENABLED: lam=0.6, tau=700, meaningful steps=[0, 641) of 1000
8
+ [18:45:35] Transformer params: 610,856,096 total, 610,856,096 trainable
9
+ [18:45:35] Building dataset ...
10
+ [18:45:35]
11
+ [18:45:35] ================================================================
12
+ [18:45:35] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
13
+ [18:45:35] Output dir = RESULTS/flicker8k/run_015
14
+ [18:45:35] Num examples = 28315
15
+ [18:45:35] Num epochs = 3
16
+ [18:45:35] Batch/device = 8
17
+ [18:45:35] Grad accum = 1
18
+ [18:45:35] Effective BS = 8
19
+ [18:45:35] Total optim steps = 10000
20
+ [18:45:35] LR = 2e-05
21
+ [18:45:35] Precision = bf16
22
+ [18:45:35] Resolution = 512x512
23
+ [18:45:35] Max seq length = 300
24
+ [18:45:35] SpeeD = True
25
+ [18:45:35] ================================================================
26
+ [18:45:35]
27
+ 50 | 0 | 0.101271 | 0.101271 | 2.00e-06 | 0:01:11 | 3:57:18
28
+ 100 | 0 | 0.184466 | 0.142869 | 4.00e-06 | 0:02:14 | 3:41:07
29
+ 150 | 0 | 0.072478 | 0.119405 | 6.00e-06 | 0:03:16 | 3:35:22
30
+ 200 | 0 | 0.207722 | 0.141484 | 8.00e-06 | 0:04:19 | 3:31:51
31
+ 250 | 0 | 0.116234 | 0.136434 | 1.00e-05 | 0:05:21 | 3:29:15
32
+ 300 | 0 | 0.069812 | 0.125331 | 1.20e-05 | 0:06:24 | 3:27:10
33
+ 350 | 0 | 0.076391 | 0.118339 | 1.40e-05 | 0:07:26 | 3:25:22
34
+ 400 | 0 | 0.059275 | 0.110956 | 1.60e-05 | 0:08:29 | 3:23:46
35
+ 450 | 0 | 0.114789 | 0.111382 | 1.80e-05 | 0:09:31 | 3:22:17
36
+ 500 | 0 | 0.128678 | 0.113112 | 2.00e-05 | 0:10:34 | 3:20:54
37
+ 550 | 0 | 0.057570 | 0.108063 | 2.00e-05 | 0:11:36 | 3:19:35
38
+ 600 | 0 | 0.147204 | 0.111324 | 2.00e-05 | 0:12:39 | 3:18:19
39
+ 650 | 0 | 0.092079 | 0.109844 | 2.00e-05 | 0:13:42 | 3:17:05
40
+ 700 | 0 | 0.246764 | 0.119624 | 2.00e-05 | 0:14:44 | 3:15:52
41
+ 750 | 0 | 0.086472 | 0.117414 | 2.00e-05 | 0:15:47 | 3:14:41
42
+ 800 | 0 | 0.077875 | 0.114943 | 2.00e-05 | 0:16:49 | 3:13:31
43
+ 850 | 0 | 0.144353 | 0.116673 | 1.99e-05 | 0:17:52 | 3:12:22
44
+ 900 | 0 | 0.065993 | 0.113857 | 1.99e-05 | 0:18:54 | 3:11:13
45
+ 950 | 0 | 0.195393 | 0.118148 | 1.99e-05 | 0:19:57 | 3:10:06
46
+ 1000 | 0 | 0.096139 | 0.117048 | 1.99e-05 | 0:20:59 | 3:08:58
47
+ [19:06:27] Generating 16 validation images ...
48
+ [19:06:47] Validation step 1000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0001000.png
49
+ 1050 | 0 | 0.065973 | 0.114616 | 1.98e-05 | 0:22:23 | 3:10:50
50
+ 1100 | 0 | 0.092217 | 0.113598 | 1.98e-05 | 0:23:25 | 3:09:34
51
+ 1150 | 0 | 0.146371 | 0.115023 | 1.98e-05 | 0:24:28 | 3:08:20
52
+ 1200 | 0 | 0.122307 | 0.115326 | 1.97e-05 | 0:25:30 | 3:07:06
53
+ 1250 | 0 | 0.088038 | 0.114235 | 1.97e-05 | 0:26:33 | 3:05:54
54
+ 1300 | 0 | 0.107735 | 0.113985 | 1.97e-05 | 0:27:36 | 3:04:42
55
+ 1350 | 0 | 0.082588 | 0.112822 | 1.96e-05 | 0:28:38 | 3:03:31
56
+ 1400 | 0 | 0.110773 | 0.112749 | 1.96e-05 | 0:29:41 | 3:02:21
57
+ 1450 | 0 | 0.131419 | 0.113392 | 1.95e-05 | 0:30:43 | 3:01:11
58
+ 1500 | 0 | 0.135390 | 0.114126 | 1.95e-05 | 0:31:46 | 3:00:01
59
+ 1550 | 0 | 0.173020 | 0.116026 | 1.94e-05 | 0:32:48 | 2:58:52
60
+ 1600 | 0 | 0.083794 | 0.115018 | 1.93e-05 | 0:33:51 | 2:57:44
61
+ 1650 | 0 | 0.150825 | 0.116103 | 1.93e-05 | 0:34:53 | 2:56:35
62
+ 1700 | 0 | 0.074407 | 0.114877 | 1.92e-05 | 0:35:56 | 2:55:27
63
+ 1750 | 0 | 0.046058 | 0.112911 | 1.92e-05 | 0:36:58 | 2:54:20
64
+ 1800 | 0 | 0.081954 | 0.112051 | 1.91e-05 | 0:38:01 | 2:53:13
65
+ 1850 | 0 | 0.064309 | 0.110761 | 1.90e-05 | 0:39:03 | 2:52:05
66
+ 1900 | 0 | 0.138999 | 0.111504 | 1.89e-05 | 0:40:06 | 2:50:59
67
+ 1950 | 0 | 0.107172 | 0.111393 | 1.89e-05 | 0:41:08 | 2:49:52
68
+ 2000 | 0 | 0.170924 | 0.112881 | 1.88e-05 | 0:42:11 | 2:48:45
69
+ [19:27:43] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-2000
70
+ [19:27:43] Generating 16 validation images ...
71
+ [19:28:04] Validation step 2000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0002000.png
72
+ 2050 | 0 | 0.074104 | 0.111935 | 1.87e-05 | 0:43:39 | 2:49:19
73
+ 2100 | 0 | 0.164862 | 0.113195 | 1.86e-05 | 0:44:42 | 2:48:10
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+ 2150 | 0 | 0.097830 | 0.112838 | 1.85e-05 | 0:45:44 | 2:47:01
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+ 2200 | 0 | 0.034318 | 0.111053 | 1.85e-05 | 0:46:47 | 2:45:53
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+ 2250 | 0 | 0.071492 | 0.110174 | 1.84e-05 | 0:47:49 | 2:44:45
77
+ 2300 | 0 | 0.105060 | 0.110063 | 1.83e-05 | 0:48:52 | 2:43:37
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+ 2350 | 0 | 0.088411 | 0.109602 | 1.82e-05 | 0:49:54 | 2:42:29
79
+ 2400 | 0 | 0.095944 | 0.109318 | 1.81e-05 | 0:50:57 | 2:41:22
80
+ 2450 | 0 | 0.103735 | 0.109204 | 1.80e-05 | 0:51:59 | 2:40:14
81
+ 2500 | 0 | 0.054160 | 0.108103 | 1.79e-05 | 0:53:02 | 2:39:07
82
+ 2550 | 0 | 0.169363 | 0.109304 | 1.78e-05 | 0:54:05 | 2:38:00
83
+ 2600 | 0 | 0.061131 | 0.108378 | 1.77e-05 | 0:55:07 | 2:36:53
84
+ 2650 | 0 | 0.055496 | 0.107380 | 1.76e-05 | 0:56:10 | 2:35:47
85
+ 2700 | 0 | 0.191644 | 0.108940 | 1.75e-05 | 0:57:12 | 2:34:40
86
+ 2750 | 0 | 0.140460 | 0.109514 | 1.74e-05 | 0:58:15 | 2:33:34
87
+ 2800 | 0 | 0.083683 | 0.109052 | 1.72e-05 | 0:59:17 | 2:32:27
88
+ 2850 | 0 | 0.196121 | 0.110580 | 1.71e-05 | 1:00:20 | 2:31:21
89
+ 2900 | 0 | 0.166769 | 0.111549 | 1.70e-05 | 1:01:22 | 2:30:15
90
+ 2950 | 0 | 0.095649 | 0.111279 | 1.69e-05 | 1:02:25 | 2:29:10
91
+ 3000 | 0 | 0.066097 | 0.110526 | 1.68e-05 | 1:03:27 | 2:28:04
92
+ [19:48:54] Generating 16 validation images ...
93
+ [19:49:15] Validation step 3000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0003000.png
94
+ 3050 | 0 | 0.055980 | 0.109632 | 1.67e-05 | 1:04:50 | 2:27:46
95
+ 3100 | 0 | 0.121783 | 0.109828 | 1.65e-05 | 1:05:53 | 2:26:39
96
+ 3150 | 0 | 0.140819 | 0.110320 | 1.64e-05 | 1:06:55 | 2:25:33
97
+ 3200 | 0 | 0.079226 | 0.109834 | 1.63e-05 | 1:07:58 | 2:24:26
98
+ 3250 | 0 | 0.253199 | 0.112040 | 1.61e-05 | 1:09:01 | 2:23:20
99
+ 3300 | 0 | 0.156322 | 0.112710 | 1.60e-05 | 1:10:03 | 2:22:14
100
+ 3350 | 0 | 0.067622 | 0.112038 | 1.59e-05 | 1:11:06 | 2:21:08
101
+ 3400 | 0 | 0.112632 | 0.112046 | 1.57e-05 | 1:12:08 | 2:20:02
102
+ 3450 | 0 | 0.210233 | 0.113469 | 1.56e-05 | 1:13:11 | 2:18:56
103
+ 3500 | 0 | 0.090772 | 0.113145 | 1.55e-05 | 1:14:13 | 2:17:50
104
+ [20:00:29] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.115327 ---
105
+ 3550 | 1 | 0.079117 | 0.112666 | 1.53e-05 | 1:15:15 | 2:16:44
106
+ 3600 | 1 | 0.162953 | 0.113364 | 1.52e-05 | 1:16:18 | 2:15:38
107
+ 3650 | 1 | 0.093406 | 0.113091 | 1.50e-05 | 1:17:20 | 2:14:33
108
+ 3700 | 1 | 0.069908 | 0.112507 | 1.49e-05 | 1:18:23 | 2:13:27
109
+ 3750 | 1 | 0.124748 | 0.112670 | 1.48e-05 | 1:19:25 | 2:12:22
110
+ 3800 | 1 | 0.156995 | 0.113254 | 1.46e-05 | 1:20:28 | 2:11:17
111
+ 3850 | 1 | 0.219828 | 0.114638 | 1.45e-05 | 1:21:30 | 2:10:12
112
+ 3900 | 1 | 0.228394 | 0.116096 | 1.43e-05 | 1:22:33 | 2:09:07
113
+ 3950 | 1 | 0.078878 | 0.115625 | 1.42e-05 | 1:23:35 | 2:08:02
114
+ 4000 | 1 | 0.113834 | 0.115603 | 1.40e-05 | 1:24:38 | 2:06:57
115
+ [20:10:10] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-4000
116
+ [20:10:10] Generating 16 validation images ...
117
+ [20:10:30] Validation step 4000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0004000.png
118
+ 4050 | 1 | 0.179010 | 0.116385 | 1.39e-05 | 1:26:06 | 2:06:30
119
+ 4100 | 1 | 0.119998 | 0.116430 | 1.37e-05 | 1:27:08 | 2:05:24
120
+ 4150 | 1 | 0.122335 | 0.116501 | 1.36e-05 | 1:28:11 | 2:04:18
121
+ 4200 | 1 | 0.039564 | 0.115585 | 1.34e-05 | 1:29:13 | 2:03:12
122
+ 4250 | 1 | 0.093203 | 0.115321 | 1.32e-05 | 1:30:15 | 2:02:07
123
+ 4300 | 1 | 0.230597 | 0.116662 | 1.31e-05 | 1:31:18 | 2:01:01
124
+ 4350 | 1 | 0.134055 | 0.116862 | 1.29e-05 | 1:32:20 | 1:59:56
125
+ 4400 | 1 | 0.146968 | 0.117204 | 1.28e-05 | 1:33:22 | 1:58:51
126
+ 4450 | 1 | 0.169370 | 0.117790 | 1.26e-05 | 1:34:25 | 1:57:45
127
+ 4500 | 1 | 0.107453 | 0.117675 | 1.25e-05 | 1:35:27 | 1:56:40
128
+ 4550 | 1 | 0.106978 | 0.117558 | 1.23e-05 | 1:36:30 | 1:55:35
129
+ 4600 | 1 | 0.045734 | 0.116777 | 1.21e-05 | 1:37:32 | 1:54:30
130
+ 4650 | 1 | 0.111721 | 0.116723 | 1.20e-05 | 1:38:34 | 1:53:25
131
+ 4700 | 1 | 0.116803 | 0.116723 | 1.18e-05 | 1:39:37 | 1:52:20
132
+ 4750 | 1 | 0.176545 | 0.117353 | 1.16e-05 | 1:40:39 | 1:51:15
133
+ 4800 | 1 | 0.173887 | 0.117942 | 1.15e-05 | 1:41:42 | 1:50:10
134
+ 4850 | 1 | 0.122159 | 0.117985 | 1.13e-05 | 1:42:44 | 1:49:05
135
+ 4900 | 1 | 0.099447 | 0.117796 | 1.12e-05 | 1:43:46 | 1:48:00
136
+ 4950 | 1 | 0.093579 | 0.117552 | 1.10e-05 | 1:44:49 | 1:46:56
137
+ 5000 | 1 | 0.145152 | 0.117828 | 1.08e-05 | 1:45:51 | 1:45:51
138
+ [20:31:18] Generating 16 validation images ...
139
+ [20:31:39] Validation step 5000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0005000.png
140
+ 5050 | 1 | 0.096973 | 0.117785 | 1.07e-05 | 1:47:14 | 1:45:07
141
+ 5100 | 1 | 0.079651 | 0.116737 | 1.05e-05 | 1:48:17 | 1:44:02
142
+ 5150 | 1 | 0.103678 | 0.117049 | 1.03e-05 | 1:49:19 | 1:42:57
143
+ 5200 | 1 | 0.107158 | 0.116043 | 1.02e-05 | 1:50:22 | 1:41:52
144
+ 5250 | 1 | 0.107334 | 0.115954 | 1.00e-05 | 1:51:24 | 1:40:47
145
+ 5300 | 1 | 0.121702 | 0.116473 | 9.83e-06 | 1:52:26 | 1:39:42
146
+ 5350 | 1 | 0.177263 | 0.117482 | 9.67e-06 | 1:53:29 | 1:38:38
147
+ 5400 | 1 | 0.057393 | 0.117463 | 9.50e-06 | 1:54:31 | 1:37:33
148
+ 5450 | 1 | 0.096097 | 0.117276 | 9.34e-06 | 1:55:34 | 1:36:29
149
+ 5500 | 1 | 0.107490 | 0.117064 | 9.17e-06 | 1:56:36 | 1:35:24
150
+ 5550 | 1 | 0.085751 | 0.117346 | 9.01e-06 | 1:57:39 | 1:34:20
151
+ 5600 | 1 | 0.070081 | 0.116574 | 8.85e-06 | 1:58:41 | 1:33:15
152
+ 5650 | 1 | 0.110455 | 0.116758 | 8.68e-06 | 1:59:44 | 1:32:11
153
+ 5700 | 1 | 0.041199 | 0.114703 | 8.52e-06 | 2:00:46 | 1:31:06
154
+ 5750 | 1 | 0.205142 | 0.115889 | 8.35e-06 | 2:01:49 | 1:30:02
155
+ 5800 | 1 | 0.129015 | 0.116401 | 8.19e-06 | 2:02:51 | 1:28:58
156
+ 5850 | 1 | 0.116650 | 0.116124 | 8.03e-06 | 2:03:54 | 1:27:53
157
+ 5900 | 1 | 0.055840 | 0.116022 | 7.87e-06 | 2:04:56 | 1:26:49
158
+ 5950 | 1 | 0.136068 | 0.115429 | 7.71e-06 | 2:05:59 | 1:25:45
159
+ 6000 | 1 | 0.215956 | 0.116627 | 7.55e-06 | 2:07:01 | 1:24:41
160
+ [20:52:33] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-6000
161
+ [20:52:34] Generating 16 validation images ...
162
+ [20:52:55] Validation step 6000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0006000.png
163
+ 6050 | 1 | 0.098886 | 0.116956 | 7.39e-06 | 2:08:30 | 1:23:54
164
+ 6100 | 1 | 0.063085 | 0.116665 | 7.23e-06 | 2:09:33 | 1:22:49
165
+ 6150 | 1 | 0.197797 | 0.117179 | 7.07e-06 | 2:10:35 | 1:21:45
166
+ 6200 | 1 | 0.064374 | 0.116600 | 6.91e-06 | 2:11:38 | 1:20:40
167
+ 6250 | 1 | 0.166882 | 0.117388 | 6.75e-06 | 2:12:40 | 1:19:36
168
+ 6300 | 1 | 0.135807 | 0.117669 | 6.60e-06 | 2:13:43 | 1:18:32
169
+ 6350 | 1 | 0.156152 | 0.118405 | 6.44e-06 | 2:14:45 | 1:17:27
170
+ 6400 | 1 | 0.111147 | 0.118408 | 6.29e-06 | 2:15:48 | 1:16:23
171
+ 6450 | 1 | 0.077151 | 0.117866 | 6.14e-06 | 2:16:50 | 1:15:19
172
+ 6500 | 1 | 0.173317 | 0.118245 | 5.98e-06 | 2:17:53 | 1:14:14
173
+ 6550 | 1 | 0.078099 | 0.117296 | 5.83e-06 | 2:18:55 | 1:13:10
174
+ 6600 | 1 | 0.048711 | 0.116945 | 5.68e-06 | 2:19:58 | 1:12:06
175
+ 6650 | 1 | 0.136038 | 0.116797 | 5.53e-06 | 2:21:00 | 1:11:02
176
+ 6700 | 1 | 0.078609 | 0.116839 | 5.39e-06 | 2:22:03 | 1:09:58
177
+ 6750 | 1 | 0.117620 | 0.117555 | 5.24e-06 | 2:23:05 | 1:08:53
178
+ 6800 | 1 | 0.090007 | 0.117635 | 5.10e-06 | 2:24:08 | 1:07:49
179
+ 6850 | 1 | 0.207593 | 0.119068 | 4.95e-06 | 2:25:10 | 1:06:45
180
+ 6900 | 1 | 0.100153 | 0.118680 | 4.81e-06 | 2:26:13 | 1:05:41
181
+ 6950 | 1 | 0.100259 | 0.118610 | 4.67e-06 | 2:27:15 | 1:04:37
182
+ 7000 | 1 | 0.164491 | 0.118546 | 4.53e-06 | 2:28:18 | 1:03:33
183
+ [21:13:45] Generating 16 validation images ...
184
+ [21:14:06] Validation step 7000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0007000.png
185
+ 7050 | 1 | 0.079549 | 0.118601 | 4.39e-06 | 2:29:41 | 1:02:38
186
+ [21:15:45] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.115756 ---
187
+ 7100 | 2 | 0.153460 | 0.118487 | 4.26e-06 | 2:30:43 | 1:01:33
188
+ 7150 | 2 | 0.117157 | 0.118680 | 4.12e-06 | 2:31:45 | 1:00:29
189
+ 7200 | 2 | 0.032137 | 0.118658 | 3.99e-06 | 2:32:48 | 0:59:25
190
+ 7250 | 2 | 0.146009 | 0.119403 | 3.86e-06 | 2:33:50 | 0:58:21
191
+ 7300 | 2 | 0.135751 | 0.119710 | 3.73e-06 | 2:34:53 | 0:57:17
192
+ 7350 | 2 | 0.085633 | 0.119682 | 3.60e-06 | 2:35:55 | 0:56:13
193
+ 7400 | 2 | 0.101484 | 0.119738 | 3.47e-06 | 2:36:57 | 0:55:08
194
+ 7450 | 2 | 0.111981 | 0.119820 | 3.35e-06 | 2:38:00 | 0:54:04
195
+ 7500 | 2 | 0.050851 | 0.119787 | 3.23e-06 | 2:39:02 | 0:53:00
196
+ 7550 | 2 | 0.103612 | 0.119130 | 3.11e-06 | 2:40:04 | 0:51:56
197
+ 7600 | 2 | 0.050833 | 0.119027 | 2.99e-06 | 2:41:07 | 0:50:52
198
+ 7650 | 2 | 0.089834 | 0.119370 | 2.87e-06 | 2:42:09 | 0:49:48
199
+ 7700 | 2 | 0.111711 | 0.118571 | 2.76e-06 | 2:43:12 | 0:48:44
200
+ 7750 | 2 | 0.105399 | 0.118220 | 2.64e-06 | 2:44:14 | 0:47:41
201
+ 7800 | 2 | 0.182758 | 0.119211 | 2.53e-06 | 2:45:16 | 0:46:37
202
+ 7850 | 2 | 0.111230 | 0.118362 | 2.42e-06 | 2:46:19 | 0:45:33
203
+ 7900 | 2 | 0.121853 | 0.117913 | 2.32e-06 | 2:47:21 | 0:44:29
204
+ 7950 | 2 | 0.054789 | 0.117504 | 2.21e-06 | 2:48:24 | 0:43:25
205
+ 8000 | 2 | 0.040435 | 0.117247 | 2.11e-06 | 2:49:26 | 0:42:21
206
+ [21:34:58] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-8000
207
+ [21:34:59] Generating 16 validation images ...
208
+ [21:35:19] Validation step 8000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0008000.png
209
+ 8050 | 2 | 0.138061 | 0.118068 | 2.01e-06 | 2:50:55 | 0:41:24
210
+ 8100 | 2 | 0.114275 | 0.117993 | 1.91e-06 | 2:51:57 | 0:40:20
211
+ 8150 | 2 | 0.111534 | 0.117700 | 1.81e-06 | 2:53:00 | 0:39:16
212
+ 8200 | 2 | 0.134522 | 0.118253 | 1.72e-06 | 2:54:02 | 0:38:12
213
+ 8250 | 2 | 0.070982 | 0.116431 | 1.63e-06 | 2:55:05 | 0:37:08
214
+ 8300 | 2 | 0.126092 | 0.116129 | 1.54e-06 | 2:56:07 | 0:36:04
215
+ 8350 | 2 | 0.124127 | 0.116694 | 1.45e-06 | 2:57:09 | 0:35:00
216
+ 8400 | 2 | 0.105532 | 0.116623 | 1.37e-06 | 2:58:12 | 0:33:56
217
+ 8450 | 2 | 0.088588 | 0.115406 | 1.29e-06 | 2:59:14 | 0:32:52
218
+ 8500 | 2 | 0.131988 | 0.115819 | 1.21e-06 | 3:00:17 | 0:31:48
219
+ 8550 | 2 | 0.228845 | 0.117316 | 1.13e-06 | 3:01:19 | 0:30:45
220
+ 8600 | 2 | 0.091824 | 0.116605 | 1.05e-06 | 3:02:21 | 0:29:41
221
+ 8650 | 2 | 0.133924 | 0.117010 | 9.80e-07 | 3:03:24 | 0:28:37
222
+ 8700 | 2 | 0.190288 | 0.118214 | 9.10e-07 | 3:04:26 | 0:27:33
223
+ 8750 | 2 | 0.126645 | 0.118233 | 8.42e-07 | 3:05:29 | 0:26:29
224
+ 8800 | 2 | 0.084986 | 0.117512 | 7.77e-07 | 3:06:31 | 0:25:26
225
+ 8850 | 2 | 0.126815 | 0.116582 | 7.14e-07 | 3:07:33 | 0:24:22
226
+ 8900 | 2 | 0.268477 | 0.116983 | 6.54e-07 | 3:08:36 | 0:23:18
227
+ 8950 | 2 | 0.095064 | 0.117145 | 5.97e-07 | 3:09:38 | 0:22:14
228
+ 9000 | 2 | 0.151555 | 0.117522 | 5.42e-07 | 3:10:41 | 0:21:11
229
+ [21:56:08] Generating 16 validation images ...
230
+ [21:56:28] Validation step 9000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0009000.png
231
+ 9050 | 2 | 0.129357 | 0.117026 | 4.89e-07 | 3:12:04 | 0:20:09
232
+ 9100 | 2 | 0.094989 | 0.116776 | 4.40e-07 | 3:13:06 | 0:19:05
233
+ 9150 | 2 | 0.081583 | 0.116368 | 3.92e-07 | 3:14:09 | 0:18:02
234
+ 9200 | 2 | 0.088689 | 0.116859 | 3.48e-07 | 3:15:11 | 0:16:58
235
+ 9250 | 2 | 0.173190 | 0.117659 | 3.06e-07 | 3:16:14 | 0:15:54
236
+ 9300 | 2 | 0.109771 | 0.116451 | 2.67e-07 | 3:17:16 | 0:14:50
237
+ 9350 | 2 | 0.084842 | 0.115959 | 2.30e-07 | 3:18:18 | 0:13:47
238
+ 9400 | 2 | 0.021775 | 0.114707 | 1.96e-07 | 3:19:21 | 0:12:43
239
+ 9450 | 2 | 0.128609 | 0.114299 | 1.65e-07 | 3:20:23 | 0:11:39
240
+ 9500 | 2 | 0.168005 | 0.114905 | 1.36e-07 | 3:21:26 | 0:10:36
241
+ 9550 | 2 | 0.115668 | 0.114992 | 1.11e-07 | 3:22:28 | 0:09:32
242
+ 9600 | 2 | 0.142263 | 0.115957 | 8.74e-08 | 3:23:30 | 0:08:28
243
+ 9650 | 2 | 0.180125 | 0.116641 | 6.69e-08 | 3:24:33 | 0:07:25
244
+ 9700 | 2 | 0.090361 | 0.116377 | 4.92e-08 | 3:25:35 | 0:06:21
245
+ 9750 | 2 | 0.172794 | 0.116339 | 3.42e-08 | 3:26:38 | 0:05:17
246
+ 9800 | 2 | 0.166530 | 0.116266 | 2.19e-08 | 3:27:40 | 0:04:14
247
+ 9850 | 2 | 0.104726 | 0.116091 | 1.23e-08 | 3:28:42 | 0:03:10
248
+ 9900 | 2 | 0.113503 | 0.116232 | 5.47e-09 | 3:29:45 | 0:02:07
249
+ 9950 | 2 | 0.101583 | 0.116312 | 1.37e-09 | 3:30:47 | 0:01:03
250
+ 10000 | 2 | 0.122244 | 0.116083 | 0.00e+00 | 3:31:50 | 0:00:00
251
+ [22:17:22] Saved checkpoint -> RESULTS/flicker8k/run_015/checkpoint-10000
252
+ [22:17:23] Generating 16 validation images ...
253
+ [22:17:43] Validation step 10000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0010000.png
254
+ [22:17:43] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.115566 ---
255
+ [22:17:43] Saving final model ...
256
+ [22:17:55] Pipeline saved -> RESULTS/flicker8k/run_015
257
+ [22:17:55] Generating final validation collage ...
258
+ [22:17:55] Generating 16 validation images ...
259
+ [22:18:15] Validation step 10000: 16 images -> RESULTS/flicker8k/run_015/validation/collage_step_0010000.png
260
+ [22:18:16]
261
+ [22:18:16] ============================================================
262
+ [22:18:16] TRAINING SUMMARY
263
+ [22:18:16] ============================================================
264
+ [22:18:16] Total steps : 200
265
+ [22:18:16] Final loss : 0.122244
266
+ [22:18:16] Avg last 100 : 0.116083
267
+ [22:18:16] Min loss : 0.021775
268
+ [22:18:16] Total time : 3:32:49
269
+ [22:18:16] Output : RESULTS/flicker8k/run_015
270
+ [22:18:16] ============================================================
flicker8k/pixart_sigma/SpeeD/training_args.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "base_model_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "revision": null,
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+ "data_dir": "../data/flicker8k",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
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+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
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+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
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+ "learning_rate": 2e-05,
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+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.1,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 2,
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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": 300,
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+ "speed_faster": true,
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+ "speed_lam": 0.6,
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+ "speed_tau": 700,
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+ "speed_floor": 0.1,
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+ "dataloader_num_workers": 4,
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+ "output_dir": "RESULTS/flicker8k/run_015"
45
+ }
flicker8k/pixart_sigma/SpeeD/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.1222442165017128,
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+ "avg_last_100": 0.11608270715922117,
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+ "min_loss": 0.021774955093860626,
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+ "total_time": "3:32:49"
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+ }
flicker8k/pixart_sigma/SpeeD/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
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+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
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+ "double_self_attention": false,
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+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
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+ "norm_elementwise_affine": false,
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+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
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+ "num_embeds_ada_norm": 1000,
21
+ "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,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
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+ "use_linear_projection": false
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+ }
flicker8k/pixart_sigma/SpeeD/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_sigma_sdxlvae_T5_diffusers",
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+ "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
+ ],
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+ "force_upcast": false,
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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": 512,
28
+ "scaling_factor": 0.13025,
29
+ "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
+ }
flicker8k/pixart_sigma/TD/checkpoint-10000/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
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+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
8
+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
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+ "dropout": 0.0,
13
+ "in_channels": 4,
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+ "interpolation_scale": 1,
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+ "norm_elementwise_affine": false,
16
+ "norm_eps": 1e-06,
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+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
20
+ "num_embeds_ada_norm": 1000,
21
+ "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,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
flicker8k/pixart_sigma/TD/checkpoint-8000/transformer/config.json ADDED
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1
+ Training started: 2026-08-20 18:10:52
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [18:10:52] Run directory: RESULTS/flicker8k/run_017
6
+ [18:10:52] Loading PixArt-Sigma components ...
7
+ [18:10:59] Transformer params: 610,856,096 total, 610,856,096 trainable
8
+ [18:10:59] TD ENABLED: cloning frozen EMA target transformer (ema_tau=0.999, update_freq=1 steps, k_idx=1.0, one_idx=0.3333333333333333, lambda=1.0, weighted=False, sigma_range=[0.002,80.0], rho=7.0, steps=18, sigma_data=0.5)
9
+ [18:10:59] Building dataset ...
10
+ [18:11:00]
11
+ [18:11:00] ================================================================
12
+ [18:11:00] Model = PixArt-alpha/PixArt-Sigma-XL-2-512-MS
13
+ [18:11:00] Output dir = RESULTS/flicker8k/run_017
14
+ [18:11:00] Num examples = 28315
15
+ [18:11:00] Num epochs = 3
16
+ [18:11:00] Batch/device = 8
17
+ [18:11:00] Grad accum = 1
18
+ [18:11:00] Effective BS = 8
19
+ [18:11:00] Total optim steps = 10000
20
+ [18:11:00] LR = 2e-05
21
+ [18:11:00] Precision = bf16
22
+ [18:11:00] Resolution = 512x512
23
+ [18:11:00] Max seq length = 300
24
+ [18:11:00] TD = True
25
+ [18:11:00] ================================================================
26
+ [18:11:00]
27
+ 50 | 0 | 0.096592 | 0.096592 | 2.00e-06 | 0:01:26 | 4:47:50
28
+ [18:12:19] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001266
29
+ 100 | 0 | 0.143837 | 0.120215 | 4.00e-06 | 0:02:45 | 4:32:18
30
+ [18:13:37] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001320
31
+ 150 | 0 | 0.064553 | 0.101661 | 6.00e-06 | 0:04:03 | 4:26:25
32
+ [18:14:55] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000756
33
+ 200 | 0 | 0.125827 | 0.107702 | 8.00e-06 | 0:05:21 | 4:22:45
34
+ [18:16:14] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001138
35
+ 250 | 0 | 0.133446 | 0.112851 | 1.00e-05 | 0:06:40 | 4:20:06
36
+ [18:17:32] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000580
37
+ 300 | 0 | 0.061862 | 0.104353 | 1.20e-05 | 0:07:58 | 4:18:01
38
+ [18:18:51] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000473
39
+ 350 | 0 | 0.129997 | 0.108016 | 1.40e-05 | 0:09:17 | 4:16:00
40
+ [18:20:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000909
41
+ 400 | 0 | 0.139754 | 0.111984 | 1.60e-05 | 0:10:35 | 4:14:11
42
+ [18:21:27] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001727
43
+ 450 | 0 | 0.070041 | 0.107323 | 1.80e-05 | 0:11:53 | 4:12:27
44
+ [18:22:46] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000608
45
+ 500 | 0 | 0.143755 | 0.110967 | 2.00e-05 | 0:13:12 | 4:10:49
46
+ [18:24:04] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001332
47
+ 550 | 0 | 0.433854 | 0.140320 | 2.00e-05 | 0:14:30 | 4:09:16
48
+ [18:25:22] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000925
49
+ 600 | 0 | 0.212780 | 0.146358 | 2.00e-05 | 0:15:49 | 4:07:48
50
+ [18:26:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000847
51
+ 650 | 0 | 0.118293 | 0.144199 | 2.00e-05 | 0:17:07 | 4:06:20
52
+ [18:27:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001205
53
+ 700 | 0 | 0.196590 | 0.147942 | 2.00e-05 | 0:18:26 | 4:04:54
54
+ [18:29:18] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001189
55
+ 750 | 0 | 0.029703 | 0.140059 | 2.00e-05 | 0:19:44 | 4:03:29
56
+ [18:30:36] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000834
57
+ 800 | 0 | 0.037390 | 0.133642 | 2.00e-05 | 0:21:02 | 4:02:04
58
+ [18:31:55] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000924
59
+ 850 | 0 | 0.194036 | 0.137195 | 1.99e-05 | 0:22:21 | 4:00:42
60
+ [18:33:14] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000808
61
+ 900 | 0 | 0.229454 | 0.142320 | 1.99e-05 | 0:23:40 | 3:59:19
62
+ [18:34:32] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000614
63
+ 950 | 0 | 0.095796 | 0.139872 | 1.99e-05 | 0:24:58 | 3:57:55
64
+ [18:35:50] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001114
65
+ 1000 | 0 | 0.181474 | 0.141952 | 1.99e-05 | 0:26:17 | 3:56:34
66
+ [18:37:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000778
67
+ [18:37:09] Generating 16 validation images ...
68
+ [18:37:30] Validation step 1000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0001000.png
69
+ 1050 | 0 | 0.116918 | 0.140760 | 1.98e-05 | 0:27:56 | 3:58:11
70
+ [18:38:48] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001045
71
+ 1100 | 0 | 0.155137 | 0.141413 | 1.98e-05 | 0:29:14 | 3:56:39
72
+ [18:40:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001352
73
+ 1150 | 0 | 0.248410 | 0.146065 | 1.98e-05 | 0:30:33 | 3:55:08
74
+ [18:41:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001267
75
+ 1200 | 0 | 0.137587 | 0.145712 | 1.97e-05 | 0:31:51 | 3:53:39
76
+ [18:42:44] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001429
77
+ 1250 | 0 | 0.060465 | 0.142302 | 1.97e-05 | 0:33:10 | 3:52:10
78
+ [18:44:02] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001095
79
+ 1300 | 0 | 0.190105 | 0.144141 | 1.97e-05 | 0:34:28 | 3:50:43
80
+ [18:45:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000774
81
+ 1350 | 0 | 0.060461 | 0.141041 | 1.96e-05 | 0:35:47 | 3:49:17
82
+ [18:46:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000807
83
+ 1400 | 0 | 0.055127 | 0.137973 | 1.96e-05 | 0:37:05 | 3:47:51
84
+ [18:47:57] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000747
85
+ 1450 | 0 | 0.050900 | 0.134971 | 1.95e-05 | 0:38:23 | 3:46:24
86
+ [18:49:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000867
87
+ 1500 | 0 | 0.084092 | 0.133275 | 1.95e-05 | 0:39:42 | 3:44:59
88
+ [18:50:34] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000915
89
+ 1550 | 0 | 0.125185 | 0.133014 | 1.94e-05 | 0:41:00 | 3:43:34
90
+ [18:51:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000706
91
+ 1600 | 0 | 0.087830 | 0.131602 | 1.93e-05 | 0:42:18 | 3:42:08
92
+ [18:53:11] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000789
93
+ 1650 | 0 | 0.053184 | 0.129225 | 1.93e-05 | 0:43:37 | 3:40:44
94
+ [18:54:29] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000603
95
+ 1700 | 0 | 0.170061 | 0.130426 | 1.92e-05 | 0:44:55 | 3:39:21
96
+ [18:55:48] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001033
97
+ 1750 | 0 | 0.068682 | 0.128662 | 1.92e-05 | 0:46:14 | 3:37:57
98
+ [18:57:06] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000985
99
+ 1800 | 0 | 0.103640 | 0.127967 | 1.91e-05 | 0:47:32 | 3:36:34
100
+ [18:58:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000981
101
+ 1850 | 0 | 0.129540 | 0.128010 | 1.90e-05 | 0:48:50 | 3:35:12
102
+ [18:59:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001103
103
+ 1900 | 0 | 0.139371 | 0.128309 | 1.89e-05 | 0:50:09 | 3:33:49
104
+ [19:01:01] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001089
105
+ 1950 | 0 | 0.098433 | 0.127543 | 1.89e-05 | 0:51:27 | 3:32:26
106
+ [19:02:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000642
107
+ 2000 | 0 | 0.350287 | 0.133111 | 1.88e-05 | 0:52:45 | 3:31:03
108
+ [19:03:38] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001057
109
+ [19:03:43] Saved checkpoint -> RESULTS/flicker8k/run_017/checkpoint-2000
110
+ [19:03:43] Generating 16 validation images ...
111
+ [19:04:03] Validation step 2000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0002000.png
112
+ 2050 | 0 | 0.321594 | 0.137708 | 1.87e-05 | 0:54:29 | 3:31:20
113
+ [19:05:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000855
114
+ 2100 | 0 | 0.078224 | 0.136292 | 1.86e-05 | 0:55:48 | 3:29:56
115
+ [19:06:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000959
116
+ 2150 | 0 | 0.101983 | 0.135494 | 1.85e-05 | 0:57:06 | 3:28:31
117
+ [19:07:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000943
118
+ 2200 | 0 | 0.150220 | 0.135829 | 1.85e-05 | 0:58:25 | 3:27:07
119
+ [19:09:17] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001144
120
+ 2250 | 0 | 0.045330 | 0.133818 | 1.84e-05 | 0:59:43 | 3:25:43
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+ [19:10:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000773
122
+ 2300 | 0 | 0.081137 | 0.132673 | 1.83e-05 | 1:01:02 | 3:24:20
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+ [19:11:54] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001316
124
+ 2350 | 0 | 0.227955 | 0.134700 | 1.82e-05 | 1:02:20 | 3:22:56
125
+ [19:13:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000785
126
+ 2400 | 0 | 0.103455 | 0.134049 | 1.81e-05 | 1:03:38 | 3:21:33
127
+ [19:14:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001039
128
+ 2450 | 0 | 0.147210 | 0.134317 | 1.80e-05 | 1:04:57 | 3:20:09
129
+ [19:15:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001075
130
+ 2500 | 0 | 0.077761 | 0.133186 | 1.79e-05 | 1:06:15 | 3:18:46
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+ [19:17:07] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001241
132
+ 2550 | 0 | 0.145505 | 0.133428 | 1.78e-05 | 1:07:33 | 3:17:24
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+ [19:18:26] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001216
134
+ 2600 | 0 | 0.150415 | 0.133755 | 1.77e-05 | 1:08:52 | 3:16:01
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+ [19:19:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001267
136
+ 2650 | 0 | 0.068892 | 0.132531 | 1.76e-05 | 1:10:10 | 3:14:39
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+ [19:21:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000696
138
+ 2700 | 0 | 0.102310 | 0.131971 | 1.75e-05 | 1:11:29 | 3:13:16
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+ [19:22:21] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001159
140
+ 2750 | 0 | 0.049275 | 0.130468 | 1.74e-05 | 1:12:47 | 3:11:54
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+ [19:23:40] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000497
142
+ 2800 | 0 | 0.116692 | 0.130222 | 1.72e-05 | 1:14:06 | 3:10:32
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+ [19:24:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000508
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+ 2850 | 0 | 0.115028 | 0.129955 | 1.71e-05 | 1:15:24 | 3:09:10
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+ [19:26:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000936
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+ 2900 | 0 | 0.093923 | 0.129334 | 1.70e-05 | 1:16:42 | 3:07:49
147
+ [19:27:35] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000779
148
+ 2950 | 0 | 0.223668 | 0.130933 | 1.69e-05 | 1:18:01 | 3:06:27
149
+ [19:28:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001376
150
+ 3000 | 0 | 0.171008 | 0.131601 | 1.68e-05 | 1:19:19 | 3:05:05
151
+ [19:30:11] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000922
152
+ [19:30:12] Generating 16 validation images ...
153
+ [19:30:32] Validation step 3000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0003000.png
154
+ 3050 | 0 | 0.079165 | 0.130741 | 1.67e-05 | 1:20:58 | 3:04:31
155
+ [19:31:51] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000801
156
+ 3100 | 0 | 0.129123 | 0.130715 | 1.65e-05 | 1:22:17 | 3:03:08
157
+ [19:33:09] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001069
158
+ 3150 | 0 | 0.091248 | 0.130088 | 1.64e-05 | 1:23:35 | 3:01:46
159
+ [19:34:27] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000886
160
+ 3200 | 0 | 0.087701 | 0.129426 | 1.63e-05 | 1:24:53 | 3:00:23
161
+ [19:35:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000979
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+ 3250 | 0 | 0.104988 | 0.129050 | 1.61e-05 | 1:26:11 | 2:59:01
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+ [19:37:04] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001314
164
+ 3300 | 0 | 0.132354 | 0.129100 | 1.60e-05 | 1:27:30 | 2:57:39
165
+ [19:38:22] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000365
166
+ 3350 | 0 | 0.181010 | 0.129875 | 1.59e-05 | 1:28:48 | 2:56:17
167
+ [19:39:41] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000685
168
+ 3400 | 0 | 0.134876 | 0.129949 | 1.57e-05 | 1:30:07 | 2:54:56
169
+ [19:40:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000736
170
+ 3450 | 0 | 0.155955 | 0.130325 | 1.56e-05 | 1:31:25 | 2:53:34
171
+ [19:42:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001068
172
+ 3500 | 0 | 0.052444 | 0.129213 | 1.55e-05 | 1:32:43 | 2:52:12
173
+ [19:43:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000902
174
+ [19:44:37] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.121358 ---
175
+ 3550 | 1 | 0.117253 | 0.129044 | 1.53e-05 | 1:34:01 | 2:50:49
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+ [19:44:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000554
177
+ 3600 | 1 | 0.146556 | 0.129288 | 1.52e-05 | 1:35:19 | 2:49:28
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+ [19:46:12] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000826
179
+ 3650 | 1 | 0.185543 | 0.130058 | 1.50e-05 | 1:36:38 | 2:48:07
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+ [19:47:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000698
181
+ 3700 | 1 | 0.046040 | 0.128923 | 1.49e-05 | 1:37:56 | 2:46:45
182
+ [19:48:48] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000713
183
+ 3750 | 1 | 0.110432 | 0.128676 | 1.48e-05 | 1:39:14 | 2:45:24
184
+ [19:50:07] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001210
185
+ 3800 | 1 | 0.147750 | 0.128927 | 1.46e-05 | 1:40:33 | 2:44:03
186
+ [19:51:25] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001490
187
+ 3850 | 1 | 0.041052 | 0.127786 | 1.45e-05 | 1:41:51 | 2:42:42
188
+ [19:52:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000627
189
+ 3900 | 1 | 0.090478 | 0.127308 | 1.43e-05 | 1:43:09 | 2:41:21
190
+ [19:54:02] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000805
191
+ 3950 | 1 | 0.106382 | 0.127043 | 1.42e-05 | 1:44:28 | 2:40:00
192
+ [19:55:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000765
193
+ 4000 | 1 | 0.135054 | 0.127143 | 1.40e-05 | 1:45:46 | 2:38:39
194
+ [19:56:38] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001010
195
+ [19:56:43] Saved checkpoint -> RESULTS/flicker8k/run_017/checkpoint-4000
196
+ [19:56:43] Generating 16 validation images ...
197
+ [19:57:03] Validation step 4000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0004000.png
198
+ 4050 | 1 | 0.093117 | 0.126723 | 1.39e-05 | 1:47:30 | 2:37:56
199
+ [19:58:22] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000729
200
+ 4100 | 1 | 0.147623 | 0.126978 | 1.37e-05 | 1:48:48 | 2:36:34
201
+ [19:59:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001280
202
+ 4150 | 1 | 0.145780 | 0.127204 | 1.36e-05 | 1:50:06 | 2:35:13
203
+ [20:00:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000819
204
+ 4200 | 1 | 0.153321 | 0.127515 | 1.34e-05 | 1:51:25 | 2:33:51
205
+ [20:02:17] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001004
206
+ 4250 | 1 | 0.073691 | 0.126882 | 1.32e-05 | 1:52:43 | 2:32:30
207
+ [20:03:35] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000963
208
+ 4300 | 1 | 0.160257 | 0.127270 | 1.31e-05 | 1:54:01 | 2:31:09
209
+ [20:04:54] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001109
210
+ 4350 | 1 | 0.012580 | 0.125952 | 1.29e-05 | 1:55:20 | 2:29:48
211
+ [20:06:12] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000742
212
+ 4400 | 1 | 0.154339 | 0.126274 | 1.28e-05 | 1:56:38 | 2:28:27
213
+ [20:07:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000953
214
+ 4450 | 1 | 0.091155 | 0.125880 | 1.26e-05 | 1:57:56 | 2:27:06
215
+ [20:08:49] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000809
216
+ 4500 | 1 | 0.258068 | 0.127349 | 1.25e-05 | 1:59:15 | 2:25:45
217
+ [20:10:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000972
218
+ 4550 | 1 | 0.226752 | 0.128441 | 1.23e-05 | 2:00:33 | 2:24:24
219
+ [20:11:25] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000919
220
+ 4600 | 1 | 0.106568 | 0.128203 | 1.21e-05 | 2:01:52 | 2:23:03
221
+ [20:12:44] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000424
222
+ 4650 | 1 | 0.119913 | 0.128114 | 1.20e-05 | 2:03:10 | 2:21:42
223
+ [20:14:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001043
224
+ 4700 | 1 | 0.176740 | 0.128631 | 1.18e-05 | 2:04:28 | 2:20:22
225
+ [20:15:21] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001292
226
+ 4750 | 1 | 0.063511 | 0.127946 | 1.16e-05 | 2:05:47 | 2:19:01
227
+ [20:16:39] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000831
228
+ 4800 | 1 | 0.227590 | 0.128984 | 1.15e-05 | 2:07:05 | 2:17:40
229
+ [20:17:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000828
230
+ 4850 | 1 | 0.136513 | 0.129061 | 1.13e-05 | 2:08:23 | 2:16:20
231
+ [20:19:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000889
232
+ 4900 | 1 | 0.093566 | 0.128699 | 1.12e-05 | 2:09:42 | 2:14:59
233
+ [20:20:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000857
234
+ 4950 | 1 | 0.193935 | 0.129358 | 1.10e-05 | 2:11:00 | 2:13:39
235
+ [20:21:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000543
236
+ 5000 | 1 | 0.020366 | 0.128268 | 1.08e-05 | 2:12:18 | 2:12:18
237
+ [20:23:11] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001153
238
+ [20:23:11] Generating 16 validation images ...
239
+ [20:23:31] Validation step 5000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0005000.png
240
+ 5050 | 1 | 0.096666 | 0.128269 | 1.07e-05 | 2:13:57 | 2:11:18
241
+ [20:24:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001126
242
+ 5100 | 1 | 0.284126 | 0.129672 | 1.05e-05 | 2:15:16 | 2:09:57
243
+ [20:26:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001145
244
+ 5150 | 1 | 0.102733 | 0.130054 | 1.03e-05 | 2:16:34 | 2:08:36
245
+ [20:27:26] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000678
246
+ 5200 | 1 | 0.111189 | 0.129907 | 1.02e-05 | 2:17:52 | 2:07:16
247
+ [20:28:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000486
248
+ 5250 | 1 | 0.019544 | 0.128768 | 1.00e-05 | 2:19:11 | 2:05:55
249
+ [20:30:03] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000680
250
+ 5300 | 1 | 0.081248 | 0.128962 | 9.83e-06 | 2:20:29 | 2:04:35
251
+ [20:31:21] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001014
252
+ 5350 | 1 | 0.056042 | 0.128223 | 9.67e-06 | 2:21:47 | 2:03:14
253
+ [20:32:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000571
254
+ 5400 | 1 | 0.229813 | 0.129123 | 9.50e-06 | 2:23:06 | 2:01:54
255
+ [20:33:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000811
256
+ 5450 | 1 | 0.056061 | 0.128983 | 9.34e-06 | 2:24:24 | 2:00:33
257
+ [20:35:16] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000511
258
+ 5500 | 1 | 0.107961 | 0.128625 | 9.17e-06 | 2:25:42 | 1:59:13
259
+ [20:36:35] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000806
260
+ 5550 | 1 | 0.065925 | 0.124946 | 9.01e-06 | 2:27:01 | 1:57:52
261
+ [20:37:53] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001162
262
+ 5600 | 1 | 0.099812 | 0.123816 | 8.85e-06 | 2:28:19 | 1:56:32
263
+ [20:39:11] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000786
264
+ 5650 | 1 | 0.144326 | 0.124077 | 8.68e-06 | 2:29:37 | 1:55:12
265
+ [20:40:30] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000945
266
+ 5700 | 1 | 0.110644 | 0.123217 | 8.52e-06 | 2:30:56 | 1:53:51
267
+ [20:41:48] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000861
268
+ 5750 | 1 | 0.119231 | 0.124113 | 8.35e-06 | 2:32:14 | 1:52:31
269
+ [20:43:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000883
270
+ 5800 | 1 | 0.141485 | 0.125154 | 8.19e-06 | 2:33:33 | 1:51:11
271
+ [20:44:25] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001296
272
+ 5850 | 1 | 0.071547 | 0.123929 | 8.03e-06 | 2:34:51 | 1:49:51
273
+ [20:45:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000756
274
+ 5900 | 1 | 0.079286 | 0.122427 | 7.87e-06 | 2:36:09 | 1:48:31
275
+ [20:47:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001062
276
+ 5950 | 1 | 0.140295 | 0.122872 | 7.71e-06 | 2:37:28 | 1:47:11
277
+ [20:48:20] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001318
278
+ 6000 | 1 | 0.144387 | 0.122501 | 7.55e-06 | 2:38:46 | 1:45:51
279
+ [20:49:38] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001139
280
+ [20:49:43] Saved checkpoint -> RESULTS/flicker8k/run_017/checkpoint-6000
281
+ [20:49:44] Generating 16 validation images ...
282
+ [20:50:04] Validation step 6000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0006000.png
283
+ 6050 | 1 | 0.256729 | 0.123899 | 7.39e-06 | 2:40:30 | 1:44:48
284
+ [20:51:23] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000336
285
+ 6100 | 1 | 0.123557 | 0.123583 | 7.23e-06 | 2:41:49 | 1:43:27
286
+ [20:52:41] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001503
287
+ 6150 | 1 | 0.113859 | 0.122238 | 7.07e-06 | 2:43:07 | 1:42:07
288
+ [20:53:59] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000974
289
+ 6200 | 1 | 0.085610 | 0.121718 | 6.91e-06 | 2:44:25 | 1:40:46
290
+ [20:55:18] TD diagnostics: frac_valid=0.750, td_loss_mean=0.001150
291
+ 6250 | 1 | 0.117656 | 0.122290 | 6.75e-06 | 2:45:44 | 1:39:26
292
+ [20:56:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000584
293
+ 6300 | 1 | 0.102085 | 0.121410 | 6.60e-06 | 2:47:02 | 1:38:06
294
+ [20:57:55] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001568
295
+ 6350 | 1 | 0.037009 | 0.121175 | 6.44e-06 | 2:48:20 | 1:36:45
296
+ [20:59:13] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000871
297
+ 6400 | 1 | 0.201243 | 0.122636 | 6.29e-06 | 2:49:39 | 1:35:25
298
+ [21:00:31] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000756
299
+ 6450 | 1 | 0.040755 | 0.122535 | 6.14e-06 | 2:50:57 | 1:34:05
300
+ [21:01:49] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000408
301
+ 6500 | 1 | 0.123867 | 0.122933 | 5.98e-06 | 2:52:15 | 1:32:45
302
+ [21:03:08] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001031
303
+ 6550 | 1 | 0.076519 | 0.122446 | 5.83e-06 | 2:53:34 | 1:31:25
304
+ [21:04:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001066
305
+ 6600 | 1 | 0.214570 | 0.123714 | 5.68e-06 | 2:54:52 | 1:30:05
306
+ [21:05:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001377
307
+ 6650 | 1 | 0.143897 | 0.124621 | 5.53e-06 | 2:56:10 | 1:28:45
308
+ [21:07:03] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000831
309
+ 6700 | 1 | 0.123779 | 0.124158 | 5.39e-06 | 2:57:29 | 1:27:25
310
+ [21:08:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001009
311
+ 6750 | 1 | 0.086825 | 0.124339 | 5.24e-06 | 2:58:47 | 1:26:05
312
+ [21:09:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001293
313
+ 6800 | 1 | 0.162572 | 0.124929 | 5.10e-06 | 3:00:05 | 1:24:45
314
+ [21:10:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000948
315
+ 6850 | 1 | 0.123064 | 0.124864 | 4.95e-06 | 3:01:24 | 1:23:25
316
+ [21:12:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001104
317
+ 6900 | 1 | 0.189765 | 0.125368 | 4.81e-06 | 3:02:42 | 1:22:05
318
+ [21:13:35] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000589
319
+ 6950 | 1 | 0.160551 | 0.125989 | 4.67e-06 | 3:04:00 | 1:20:45
320
+ [21:14:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000735
321
+ 7000 | 1 | 0.098835 | 0.123474 | 4.53e-06 | 3:05:19 | 1:19:25
322
+ [21:16:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001195
323
+ [21:16:11] Generating 16 validation images ...
324
+ [21:16:32] Validation step 7000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0007000.png
325
+ 7050 | 1 | 0.109391 | 0.121352 | 4.39e-06 | 3:06:58 | 1:18:14
326
+ [21:17:50] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000873
327
+ [21:18:36] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.118623 ---
328
+ 7100 | 2 | 0.119602 | 0.121766 | 4.26e-06 | 3:08:15 | 1:16:53
329
+ [21:19:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000836
330
+ 7150 | 2 | 0.085623 | 0.121603 | 4.12e-06 | 3:09:34 | 1:15:33
331
+ [21:20:26] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000539
332
+ 7200 | 2 | 0.194661 | 0.122047 | 3.99e-06 | 3:10:52 | 1:14:13
333
+ [21:21:44] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001342
334
+ 7250 | 2 | 0.054692 | 0.122141 | 3.86e-06 | 3:12:10 | 1:12:53
335
+ [21:23:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000476
336
+ 7300 | 2 | 0.091500 | 0.122244 | 3.73e-06 | 3:13:29 | 1:11:33
337
+ [21:24:21] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000979
338
+ 7350 | 2 | 0.081818 | 0.120783 | 3.60e-06 | 3:14:47 | 1:10:13
339
+ [21:25:40] TD diagnostics: frac_valid=0.625, td_loss_mean=0.001032
340
+ 7400 | 2 | 0.197490 | 0.121723 | 3.47e-06 | 3:16:05 | 1:08:53
341
+ [21:26:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000922
342
+ 7450 | 2 | 0.086561 | 0.121117 | 3.35e-06 | 3:17:24 | 1:07:34
343
+ [21:28:16] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000867
344
+ 7500 | 2 | 0.141976 | 0.121759 | 3.23e-06 | 3:18:42 | 1:06:14
345
+ [21:29:34] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001008
346
+ 7550 | 2 | 0.105751 | 0.121361 | 3.11e-06 | 3:20:00 | 1:04:54
347
+ [21:30:53] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000742
348
+ 7600 | 2 | 0.122342 | 0.121081 | 2.99e-06 | 3:21:19 | 1:03:34
349
+ [21:32:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000932
350
+ 7650 | 2 | 0.191406 | 0.122306 | 2.87e-06 | 3:22:37 | 1:02:14
351
+ [21:33:29] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000547
352
+ 7700 | 2 | 0.176369 | 0.123046 | 2.76e-06 | 3:23:55 | 1:00:54
353
+ [21:34:48] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000983
354
+ 7750 | 2 | 0.132724 | 0.123881 | 2.64e-06 | 3:25:14 | 0:59:35
355
+ [21:36:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001049
356
+ 7800 | 2 | 0.212294 | 0.124837 | 2.53e-06 | 3:26:32 | 0:58:15
357
+ [21:37:24] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001300
358
+ 7850 | 2 | 0.128472 | 0.124971 | 2.42e-06 | 3:27:50 | 0:56:55
359
+ [21:38:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001323
360
+ 7900 | 2 | 0.094211 | 0.124974 | 2.32e-06 | 3:29:09 | 0:55:35
361
+ [21:40:01] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001051
362
+ 7950 | 2 | 0.089734 | 0.123635 | 2.21e-06 | 3:30:27 | 0:54:16
363
+ [21:41:19] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000872
364
+ 8000 | 2 | 0.112237 | 0.123047 | 2.11e-06 | 3:31:45 | 0:52:56
365
+ [21:42:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000629
366
+ [21:42:42] Saved checkpoint -> RESULTS/flicker8k/run_017/checkpoint-8000
367
+ [21:42:43] Generating 16 validation images ...
368
+ [21:43:04] Validation step 8000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0008000.png
369
+ 8050 | 2 | 0.123504 | 0.123491 | 2.01e-06 | 3:33:30 | 0:51:43
370
+ [21:44:22] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001008
371
+ 8100 | 2 | 0.066248 | 0.122862 | 1.91e-06 | 3:34:48 | 0:50:23
372
+ [21:45:41] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000857
373
+ 8150 | 2 | 0.169820 | 0.123647 | 1.81e-06 | 3:36:07 | 0:49:03
374
+ [21:46:59] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001075
375
+ 8200 | 2 | 0.108463 | 0.123855 | 1.72e-06 | 3:37:25 | 0:47:43
376
+ [21:48:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001121
377
+ 8250 | 2 | 0.059942 | 0.123405 | 1.63e-06 | 3:38:43 | 0:46:23
378
+ [21:49:36] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000764
379
+ 8300 | 2 | 0.111354 | 0.123195 | 1.54e-06 | 3:40:02 | 0:45:04
380
+ [21:50:54] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000739
381
+ 8350 | 2 | 0.076597 | 0.122151 | 1.45e-06 | 3:41:20 | 0:43:44
382
+ [21:52:12] TD diagnostics: frac_valid=0.625, td_loss_mean=0.001326
383
+ 8400 | 2 | 0.070478 | 0.121507 | 1.37e-06 | 3:42:38 | 0:42:24
384
+ [21:53:31] TD diagnostics: frac_valid=0.625, td_loss_mean=0.000637
385
+ 8450 | 2 | 0.111790 | 0.121065 | 1.29e-06 | 3:43:57 | 0:41:04
386
+ [21:54:49] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001008
387
+ 8500 | 2 | 0.131070 | 0.121851 | 1.21e-06 | 3:45:15 | 0:39:45
388
+ [21:56:07] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000888
389
+ 8550 | 2 | 0.106548 | 0.121744 | 1.13e-06 | 3:46:33 | 0:38:25
390
+ [21:57:26] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000769
391
+ 8600 | 2 | 0.278628 | 0.123065 | 1.05e-06 | 3:47:52 | 0:37:05
392
+ [21:58:44] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001081
393
+ 8650 | 2 | 0.069498 | 0.121904 | 9.80e-07 | 3:49:10 | 0:35:46
394
+ [22:00:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000918
395
+ 8700 | 2 | 0.110805 | 0.122552 | 9.10e-07 | 3:50:28 | 0:34:26
396
+ [22:01:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000737
397
+ 8750 | 2 | 0.035584 | 0.121804 | 8.42e-07 | 3:51:46 | 0:33:06
398
+ [22:02:39] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000544
399
+ 8800 | 2 | 0.066114 | 0.120987 | 7.77e-07 | 3:53:05 | 0:31:47
400
+ [22:03:57] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000728
401
+ 8850 | 2 | 0.129529 | 0.121872 | 7.14e-07 | 3:54:23 | 0:30:27
402
+ [22:05:16] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001289
403
+ 8900 | 2 | 0.099389 | 0.121961 | 6.54e-07 | 3:55:42 | 0:29:07
404
+ [22:06:34] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001288
405
+ 8950 | 2 | 0.007857 | 0.120976 | 5.97e-07 | 3:57:00 | 0:27:48
406
+ [22:07:52] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000967
407
+ 9000 | 2 | 0.104380 | 0.120669 | 5.42e-07 | 3:58:18 | 0:26:28
408
+ [22:09:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000631
409
+ [22:09:11] Generating 16 validation images ...
410
+ [22:09:31] Validation step 9000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0009000.png
411
+ 9050 | 2 | 0.155797 | 0.121296 | 4.89e-07 | 3:59:57 | 0:25:11
412
+ [22:10:50] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000786
413
+ 9100 | 2 | 0.116706 | 0.120987 | 4.40e-07 | 4:01:16 | 0:23:51
414
+ [22:12:08] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001316
415
+ 9150 | 2 | 0.109786 | 0.120627 | 3.92e-07 | 4:02:34 | 0:22:32
416
+ [22:13:26] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001272
417
+ 9200 | 2 | 0.178937 | 0.120883 | 3.48e-07 | 4:03:53 | 0:21:12
418
+ [22:14:45] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000741
419
+ 9250 | 2 | 0.172099 | 0.121867 | 3.06e-07 | 4:05:11 | 0:19:52
420
+ [22:16:03] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001317
421
+ 9300 | 2 | 0.155532 | 0.121820 | 2.67e-07 | 4:06:29 | 0:18:33
422
+ [22:17:21] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001133
423
+ 9350 | 2 | 0.135562 | 0.123050 | 2.30e-07 | 4:07:47 | 0:17:13
424
+ [22:18:40] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000912
425
+ 9400 | 2 | 0.127227 | 0.122778 | 1.96e-07 | 4:09:06 | 0:15:54
426
+ [22:19:58] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001011
427
+ 9450 | 2 | 0.064862 | 0.122516 | 1.65e-07 | 4:10:24 | 0:14:34
428
+ [22:21:17] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000965
429
+ 9500 | 2 | 0.030852 | 0.120243 | 1.36e-07 | 4:11:42 | 0:13:14
430
+ [22:22:35] TD diagnostics: frac_valid=0.750, td_loss_mean=0.000615
431
+ 9550 | 2 | 0.020140 | 0.118177 | 1.11e-07 | 4:13:01 | 0:11:55
432
+ [22:23:53] TD diagnostics: frac_valid=0.875, td_loss_mean=0.001055
433
+ 9600 | 2 | 0.135096 | 0.118463 | 8.74e-08 | 4:14:19 | 0:10:35
434
+ [22:25:11] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001055
435
+ 9650 | 2 | 0.116234 | 0.118426 | 6.69e-08 | 4:15:37 | 0:09:16
436
+ [22:26:30] TD diagnostics: frac_valid=1.000, td_loss_mean=0.001438
437
+ 9700 | 2 | 0.124375 | 0.117902 | 4.92e-08 | 4:16:55 | 0:07:56
438
+ [22:27:48] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000903
439
+ 9750 | 2 | 0.074770 | 0.118015 | 3.42e-08 | 4:18:14 | 0:06:37
440
+ [22:29:06] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000757
441
+ 9800 | 2 | 0.089542 | 0.116634 | 2.19e-08 | 4:19:32 | 0:05:17
442
+ [22:30:25] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000794
443
+ 9850 | 2 | 0.093205 | 0.116201 | 1.23e-08 | 4:20:51 | 0:03:58
444
+ [22:31:43] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000647
445
+ 9900 | 2 | 0.086227 | 0.116128 | 5.47e-09 | 4:22:09 | 0:02:38
446
+ [22:33:02] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000870
447
+ 9950 | 2 | 0.062355 | 0.114812 | 1.37e-09 | 4:23:28 | 0:01:19
448
+ [22:34:20] TD diagnostics: frac_valid=0.875, td_loss_mean=0.000893
449
+ 10000 | 2 | 0.154044 | 0.116149 | 0.00e+00 | 4:24:46 | 0:00:00
450
+ [22:35:38] TD diagnostics: frac_valid=1.000, td_loss_mean=0.000794
451
+ [22:35:43] Saved checkpoint -> RESULTS/flicker8k/run_017/checkpoint-10000
452
+ [22:35:44] Generating 16 validation images ...
453
+ [22:36:04] Validation step 10000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0010000.png
454
+ [22:36:04] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.120302 ---
455
+ [22:36:04] Saving final model ...
456
+ [22:36:17] Pipeline saved -> RESULTS/flicker8k/run_017
457
+ [22:36:17] Generating final validation collage ...
458
+ [22:36:17] Generating 16 validation images ...
459
+ [22:36:37] Validation step 10000: 16 images -> RESULTS/flicker8k/run_017/validation/collage_step_0010000.png
460
+ [22:36:37]
461
+ [22:36:37] ============================================================
462
+ [22:36:37] TRAINING SUMMARY
463
+ [22:36:37] ============================================================
464
+ [22:36:37] Total steps : 200
465
+ [22:36:37] Final loss : 0.154044
466
+ [22:36:37] Avg last 100 : 0.116149
467
+ [22:36:37] Min loss : 0.007857
468
+ [22:36:37] Total time : 4:25:45
469
+ [22:36:37] Output : RESULTS/flicker8k/run_017
470
+ [22:36:37] ============================================================
flicker8k/pixart_sigma/TD/training_args.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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",
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+ "revision": null,
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+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/flicker8k",
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+ "caption_file_train": "caption_train.json",
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+ "caption_file_val": "caption_val.json",
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+ "images_dir": "images",
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+ "max_captions_per_image": 5,
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+ "proportion_empty_prompts": 0.1,
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+ "results_root": "RESULTS",
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+ "seed": 42,
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+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
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+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
20
+ "gradient_checkpointing": true,
21
+ "learning_rate": 2e-05,
22
+ "scale_lr": false,
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+ "lr_scheduler": "cosine",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 0.01,
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+ "mixed_precision": "bf16",
32
+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 2,
34
+ "resume_from_checkpoint": null,
35
+ "validation_steps": 1000,
36
+ "validation_prompts_file": null,
37
+ "log_every_n_steps": 50,
38
+ "td_enable": true,
39
+ "td_k_idx": 1.0,
40
+ "td_one_idx": null,
41
+ "td_lambda": 1.0,
42
+ "td_weight": false,
43
+ "td_sigma_min": 0.002,
44
+ "td_sigma_max": 80.0,
45
+ "td_rho": 7.0,
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+ "td_steps": 18,
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+ "td_sigma_data": 0.5,
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+ "td_ema_tau": 0.999,
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+ "td_target_update_freq": 1,
50
+ "max_sequence_length": 300,
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+ "dataloader_num_workers": 4,
52
+ "output_dir": "RESULTS/flicker8k/run_017"
53
+ }
flicker8k/pixart_sigma/TD/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.15404418110847473,
4
+ "avg_last_100": 0.11614870673045516,
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+ "min_loss": 0.007856952026486397,
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+ "total_time": "4:25:45"
7
+ }
flicker8k/pixart_sigma/TD/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
+ "_name_or_path": "PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
5
+ "activation_fn": "gelu-approximate",
6
+ "attention_bias": true,
7
+ "attention_head_dim": 72,
8
+ "attention_type": "default",
9
+ "caption_channels": 4096,
10
+ "cross_attention_dim": 1152,
11
+ "double_self_attention": false,
12
+ "dropout": 0.0,
13
+ "in_channels": 4,
14
+ "interpolation_scale": 1,
15
+ "norm_elementwise_affine": false,
16
+ "norm_eps": 1e-06,
17
+ "norm_num_groups": 32,
18
+ "norm_type": "ada_norm_single",
19
+ "num_attention_heads": 16,
20
+ "num_embeds_ada_norm": 1000,
21
+ "num_layers": 28,
22
+ "num_vector_embeds": null,
23
+ "only_cross_attention": false,
24
+ "out_channels": 8,
25
+ "patch_size": 2,
26
+ "sample_size": 64,
27
+ "upcast_attention": false,
28
+ "use_additional_conditions": null,
29
+ "use_linear_projection": false
30
+ }
flicker8k/pixart_sigma/TD/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_sigma_sdxlvae_T5_diffusers",
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": false,
19
+ "in_channels": 3,
20
+ "latent_channels": 4,
21
+ "latents_mean": null,
22
+ "latents_std": null,
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+ "layers_per_block": 2,
24
+ "mid_block_add_attention": true,
25
+ "norm_num_groups": 32,
26
+ "out_channels": 3,
27
+ "sample_size": 512,
28
+ "scaling_factor": 0.13025,
29
+ "shift_factor": null,
30
+ "up_block_types": [
31
+ "UpDecoderBlock2D",
32
+ "UpDecoderBlock2D",
33
+ "UpDecoderBlock2D",
34
+ "UpDecoderBlock2D"
35
+ ],
36
+ "use_post_quant_conv": true,
37
+ "use_quant_conv": true
38
+ }
flicker8k/sana 0.6/RAD/training_args.json ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "Efficient-Large-Model/Sana_600M_512px_diffusers",
3
+ "revision": null,
4
+ "variant": null,
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+ "cache_dir": null,
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+ "data_dir": "../data/flicker8k",
7
+ "caption_file_train": "caption_train.json",
8
+ "caption_file_val": "caption_val.json",
9
+ "images_dir": "images",
10
+ "max_captions_per_image": 5,
11
+ "results_root": "RESULTS",
12
+ "seed": 42,
13
+ "resolution": 512,
14
+ "train_batch_size": 8,
15
+ "max_train_steps": 10000,
16
+ "num_train_epochs": 3,
17
+ "gradient_accumulation_steps": 1,
18
+ "gradient_checkpointing": true,
19
+ "learning_rate": 0.0001,
20
+ "scale_lr": false,
21
+ "lr_scheduler": "constant_with_warmup",
22
+ "lr_warmup_steps": 500,
23
+ "lr_num_cycles": 1,
24
+ "optimizer": "AdamW",
25
+ "adam_beta1": 0.9,
26
+ "adam_beta2": 0.999,
27
+ "adam_weight_decay": 0.01,
28
+ "adam_epsilon": 1e-08,
29
+ "max_grad_norm": 1.0,
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+ "mixed_precision": "bf16",
31
+ "allow_tf32": false,
32
+ "checkpointing_steps": 2000,
33
+ "checkpoints_total_limit": 3,
34
+ "resume_from_checkpoint": null,
35
+ "validation_steps": 1000,
36
+ "validation_prompts_file": null,
37
+ "log_every_n_steps": 50,
38
+ "weighting_scheme": "logit_normal",
39
+ "logit_mean": 0.0,
40
+ "logit_std": 1.0,
41
+ "mode_scale": 1.29,
42
+ "max_sequence_length": 300,
43
+ "advantage_temperature": 0.1,
44
+ "curriculum_steps": 5000,
45
+ "max_timestep_delta": 300,
46
+ "use_tam": true,
47
+ "tam_alpha": 0.9,
48
+ "tam_factor": 0.5,
49
+ "tam_log_steps": 500,
50
+ "use_sad": true,
51
+ "sad_temperature": 0.5,
52
+ "dataloader_num_workers": 4,
53
+ "pin_memory": false,
54
+ "output_dir": "RESULTS/flicker8k/run_001"
55
+ }