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  1. flicker8k/pixart_alpha/run_005/checkpoint-10000/transformer/config.json +30 -0
  2. flicker8k/pixart_alpha/run_005/model_index.json +24 -0
  3. flicker8k/pixart_alpha/run_005/scheduler/scheduler_config.json +32 -0
  4. flicker8k/pixart_alpha/run_005/text_encoder/config.json +33 -0
  5. flicker8k/pixart_alpha/run_005/tokenizer/tokenizer.json +0 -0
  6. flicker8k/pixart_alpha/run_005/tokenizer/tokenizer_config.json +118 -0
  7. flicker8k/pixart_alpha/run_005/training.log +268 -0
  8. flicker8k/pixart_alpha/run_005/training_args.json +39 -0
  9. flicker8k/pixart_alpha/run_005/training_summary.json +7 -0
  10. flicker8k/pixart_alpha/run_005/transformer/config.json +30 -0
  11. flicker8k/pixart_alpha/run_005/vae/config.json +38 -0
  12. flicker8k/pixart_alpha/run_005/validation/collage_step_0001000.png +3 -0
  13. flicker8k/pixart_alpha/run_005/validation/collage_step_0006000.png +3 -0
  14. flicker8k/pixart_alpha/run_005/validation/collage_step_0010000.png +3 -0
  15. flicker8k/pixart_alpha/run_006/checkpoint-10000/transformer/config.json +30 -0
  16. flicker8k/pixart_alpha/run_006/model_index.json +24 -0
  17. flicker8k/pixart_alpha/run_006/scheduler/scheduler_config.json +32 -0
  18. flicker8k/pixart_alpha/run_006/text_encoder/config.json +33 -0
  19. flicker8k/pixart_alpha/run_006/tokenizer/tokenizer.json +0 -0
  20. flicker8k/pixart_alpha/run_006/tokenizer/tokenizer_config.json +118 -0
  21. flicker8k/pixart_alpha/run_006/training.log +302 -0
  22. flicker8k/pixart_alpha/run_006/training_args.json +48 -0
  23. flicker8k/pixart_alpha/run_006/training_summary.json +7 -0
  24. flicker8k/pixart_alpha/run_006/transformer/config.json +30 -0
  25. flicker8k/pixart_alpha/run_006/vae/config.json +38 -0
  26. flicker8k/pixart_sigma/Baseline/model_index.json +24 -0
  27. flicker8k/pixart_sigma/RAD/model_index.json +24 -0
  28. flicker8k/pixart_sigma/RAD/tokenizer/tokenizer.json +0 -0
  29. flicker8k/pixart_sigma/RAD/training_args.json +49 -0
  30. flicker8k/pixart_sigma/RAD/training_summary.json +7 -0
  31. flicker8k/pixart_sigma/SpeeD/checkpoint-8000/optimizer.bin +3 -0
  32. flicker8k/pixart_sigma/SpeeD/model_index.json +24 -0
  33. flicker8k/pixart_sigma/TD/checkpoint-10000/optimizer.bin +3 -0
  34. flicker8k/pixart_sigma/TD/checkpoint-8000/optimizer.bin +3 -0
  35. flicker8k/sana 0.6/Baseline/checkpoint-10000/transformer/config.json +26 -0
  36. flicker8k/sana 0.6/Baseline/scheduler/scheduler_config.json +40 -0
  37. flicker8k/sana 0.6/Baseline/text_encoder/config.json +68 -0
  38. flicker8k/sana 0.6/Baseline/tokenizer/chat_template.jinja +4 -0
  39. flicker8k/sana 0.6/Baseline/transformer/config.json +26 -0
  40. flicker8k/sana 0.6/Baseline/vae/config.json +92 -0
  41. flicker8k/sana 0.6/RAD/checkpoint-10000/transformer/config.json +26 -0
  42. flicker8k/sana 0.6/RAD/scheduler/scheduler_config.json +40 -0
  43. flicker8k/sana 0.6/RAD/text_encoder/config.json +68 -0
  44. flicker8k/sana 0.6/RAD/text_encoder/model.safetensors +3 -0
  45. flicker8k/sana 0.6/RAD/tokenizer/chat_template.jinja +4 -0
  46. flicker8k/sana 0.6/RAD/tokenizer/tokenizer_config.json +20 -0
  47. flicker8k/sana 0.6/RAD/transformer/config.json +26 -0
  48. flicker8k/sana 0.6/RAD/vae/config.json +92 -0
  49. flicker8k/sana 0.6/SRA/text_encoder/model.safetensors +3 -0
  50. flicker8k/sana 0.6/SpeeD/text_encoder/model.safetensors +3 -0
flicker8k/pixart_alpha/run_005/checkpoint-10000/transformer/config.json ADDED
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+ {
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+ "_class_name": "PixArtTransformer2DModel",
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flicker8k/pixart_alpha/run_005/tokenizer/tokenizer.json ADDED
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flicker8k/pixart_alpha/run_005/tokenizer/tokenizer_config.json ADDED
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flicker8k/pixart_alpha/run_005/training.log ADDED
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+ Training started: 2026-08-03 18:01:44
2
+ ==========================================================================================
3
+ Step | Epoch | Loss | Avg100 | LR | Elapsed | ETA
4
+ ------------------------------------------------------------------------------------------
5
+ [18:01:44] Run directory: RESULTS/flicker8k/run_005
6
+ [18:01:44] Loading PixArt-Alpha components ...
7
+ [18:01:52] Transformer params: 610,856,096 total, 610,856,096 trainable
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+ [18:01:52] Building dataset ...
9
+ [18:01:53]
10
+ [18:01:53] ================================================================
11
+ [18:01:53] Model = PixArt-alpha/PixArt-XL-2-512x512
12
+ [18:01:53] Output dir = RESULTS/flicker8k/run_005
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+ [18:01:53] Num examples = 28315
14
+ [18:01:53] Num epochs = 3
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+ [18:01:53] Batch/device = 8
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+ [18:01:53] Grad accum = 1
17
+ [18:01:53] Effective BS = 8
18
+ [18:01:53] Total optim steps = 10000
19
+ [18:01:53] LR = 1e-06
20
+ [18:01:53] Precision = bf16
21
+ [18:01:53] Resolution = 512x512
22
+ [18:01:53] Max seq length = 120
23
+ [18:01:53] ================================================================
24
+ [18:01:53]
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+ 1000 | 0 | 0.277723 | 0.158297 | 1.00e-06 | 0:18:13 | 2:43:59
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+ [18:19:58] Generating 16 validation images ...
46
+ [18:20:16] Validation step 1000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0001000.png
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+ 2000 | 0 | 0.271352 | 0.151532 | 1.00e-06 | 0:36:36 | 2:26:24
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+ [18:38:32] Saved checkpoint -> RESULTS/flicker8k/run_005/checkpoint-2000
68
+ [18:38:32] Generating 16 validation images ...
69
+ [18:38:50] Validation step 2000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0002000.png
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+ 2450 | 0 | 0.171964 | 0.152794 | 1.00e-06 | 0:45:14 | 2:19:24
79
+ 2500 | 0 | 0.067307 | 0.151084 | 1.00e-06 | 0:46:08 | 2:18:25
80
+ 2550 | 0 | 0.160723 | 0.151273 | 1.00e-06 | 0:47:02 | 2:17:26
81
+ 2600 | 0 | 0.165370 | 0.151544 | 1.00e-06 | 0:47:57 | 2:16:28
82
+ 2650 | 0 | 0.113740 | 0.150831 | 1.00e-06 | 0:48:51 | 2:15:30
83
+ 2700 | 0 | 0.116898 | 0.150202 | 1.00e-06 | 0:49:45 | 2:14:31
84
+ 2750 | 0 | 0.071018 | 0.148763 | 1.00e-06 | 0:50:39 | 2:13:33
85
+ 2800 | 0 | 0.208487 | 0.149829 | 1.00e-06 | 0:51:33 | 2:12:35
86
+ 2850 | 0 | 0.120211 | 0.149310 | 1.00e-06 | 0:52:28 | 2:11:37
87
+ 2900 | 0 | 0.089740 | 0.148282 | 1.00e-06 | 0:53:22 | 2:10:39
88
+ 2950 | 0 | 0.213858 | 0.149394 | 1.00e-06 | 0:54:16 | 2:09:42
89
+ 3000 | 0 | 0.212292 | 0.150442 | 1.00e-06 | 0:55:10 | 2:08:44
90
+ [18:56:55] Generating 16 validation images ...
91
+ [18:57:13] Validation step 3000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0003000.png
92
+ 3050 | 0 | 0.077305 | 0.149243 | 1.00e-06 | 0:56:24 | 2:08:31
93
+ 3100 | 0 | 0.117718 | 0.148735 | 1.00e-06 | 0:57:18 | 2:07:32
94
+ 3150 | 0 | 0.092213 | 0.147838 | 1.00e-06 | 0:58:12 | 2:06:34
95
+ 3200 | 0 | 0.083315 | 0.146829 | 1.00e-06 | 0:59:06 | 2:05:36
96
+ 3250 | 0 | 0.110149 | 0.146265 | 1.00e-06 | 1:00:00 | 2:04:38
97
+ 3300 | 0 | 0.218384 | 0.147358 | 1.00e-06 | 1:00:54 | 2:03:40
98
+ 3350 | 0 | 0.225290 | 0.148521 | 1.00e-06 | 1:01:49 | 2:02:42
99
+ 3400 | 0 | 0.193636 | 0.149184 | 1.00e-06 | 1:02:43 | 2:01:45
100
+ 3450 | 0 | 0.167702 | 0.149453 | 1.00e-06 | 1:03:37 | 2:00:47
101
+ 3500 | 0 | 0.045264 | 0.147964 | 1.00e-06 | 1:04:31 | 1:59:50
102
+ [19:06:58] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.141658 ---
103
+ 3550 | 1 | 0.202323 | 0.148730 | 1.00e-06 | 1:05:25 | 1:58:51
104
+ 3600 | 1 | 0.204256 | 0.149501 | 1.00e-06 | 1:06:19 | 1:57:54
105
+ 3650 | 1 | 0.289784 | 0.151423 | 1.00e-06 | 1:07:13 | 1:56:57
106
+ 3700 | 1 | 0.045791 | 0.149995 | 1.00e-06 | 1:08:07 | 1:56:00
107
+ 3750 | 1 | 0.104014 | 0.149382 | 1.00e-06 | 1:09:01 | 1:55:03
108
+ 3800 | 1 | 0.173823 | 0.149704 | 1.00e-06 | 1:09:56 | 1:54:06
109
+ 3850 | 1 | 0.049639 | 0.148404 | 1.00e-06 | 1:10:50 | 1:53:09
110
+ 3900 | 1 | 0.102309 | 0.147813 | 1.00e-06 | 1:11:44 | 1:52:12
111
+ 3950 | 1 | 0.149741 | 0.147838 | 1.00e-06 | 1:12:38 | 1:51:15
112
+ 4000 | 1 | 0.123596 | 0.147535 | 1.00e-06 | 1:13:32 | 1:50:19
113
+ [19:15:28] Saved checkpoint -> RESULTS/flicker8k/run_005/checkpoint-4000
114
+ [19:15:29] Generating 16 validation images ...
115
+ [19:15:47] Validation step 4000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0004000.png
116
+ 4050 | 1 | 0.099870 | 0.146946 | 1.00e-06 | 1:14:57 | 1:50:07
117
+ 4100 | 1 | 0.150166 | 0.146986 | 1.00e-06 | 1:15:51 | 1:49:09
118
+ 4150 | 1 | 0.234582 | 0.148041 | 1.00e-06 | 1:16:45 | 1:48:12
119
+ 4200 | 1 | 0.204793 | 0.148717 | 1.00e-06 | 1:17:39 | 1:47:14
120
+ 4250 | 1 | 0.061227 | 0.147687 | 1.00e-06 | 1:18:33 | 1:46:17
121
+ 4300 | 1 | 0.183434 | 0.148103 | 1.00e-06 | 1:19:28 | 1:45:20
122
+ 4350 | 1 | 0.010564 | 0.146522 | 1.00e-06 | 1:20:22 | 1:44:23
123
+ 4400 | 1 | 0.213621 | 0.147285 | 1.00e-06 | 1:21:16 | 1:43:26
124
+ 4450 | 1 | 0.114784 | 0.146919 | 1.00e-06 | 1:22:10 | 1:42:29
125
+ 4500 | 1 | 0.340550 | 0.149071 | 1.00e-06 | 1:23:04 | 1:41:32
126
+ 4550 | 1 | 0.308387 | 0.150822 | 1.00e-06 | 1:23:58 | 1:40:35
127
+ 4600 | 1 | 0.177699 | 0.151114 | 1.00e-06 | 1:24:52 | 1:39:38
128
+ 4650 | 1 | 0.150723 | 0.151109 | 1.00e-06 | 1:25:47 | 1:38:41
129
+ 4700 | 1 | 0.220568 | 0.151848 | 1.00e-06 | 1:26:41 | 1:37:45
130
+ 4750 | 1 | 0.108899 | 0.151396 | 1.00e-06 | 1:27:35 | 1:36:48
131
+ 4800 | 1 | 0.232621 | 0.152242 | 1.00e-06 | 1:28:29 | 1:35:52
132
+ 4850 | 1 | 0.138687 | 0.152103 | 1.00e-06 | 1:29:23 | 1:34:55
133
+ 4900 | 1 | 0.106080 | 0.151633 | 1.00e-06 | 1:30:18 | 1:33:59
134
+ 4950 | 1 | 0.230792 | 0.152433 | 1.00e-06 | 1:31:12 | 1:33:02
135
+ 5000 | 1 | 0.018055 | 0.151089 | 1.00e-06 | 1:32:06 | 1:32:06
136
+ [19:33:52] Generating 16 validation images ...
137
+ [19:34:10] Validation step 5000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0005000.png
138
+ 5050 | 1 | 0.083130 | 0.151031 | 1.00e-06 | 1:33:20 | 1:31:29
139
+ 5100 | 1 | 0.349417 | 0.152678 | 1.00e-06 | 1:34:14 | 1:30:33
140
+ 5150 | 1 | 0.206905 | 0.154132 | 1.00e-06 | 1:35:08 | 1:29:36
141
+ 5200 | 1 | 0.198019 | 0.154852 | 1.00e-06 | 1:36:03 | 1:28:39
142
+ 5250 | 1 | 0.015990 | 0.152488 | 1.00e-06 | 1:36:57 | 1:27:43
143
+ 5300 | 1 | 0.073732 | 0.152132 | 1.00e-06 | 1:37:51 | 1:26:46
144
+ 5350 | 1 | 0.056336 | 0.151393 | 1.00e-06 | 1:38:45 | 1:25:50
145
+ 5400 | 1 | 0.298414 | 0.153048 | 1.00e-06 | 1:39:39 | 1:24:53
146
+ 5450 | 1 | 0.061333 | 0.152626 | 1.00e-06 | 1:40:34 | 1:23:57
147
+ 5500 | 1 | 0.145772 | 0.152453 | 1.00e-06 | 1:41:28 | 1:23:01
148
+ 5550 | 1 | 0.121312 | 0.149812 | 1.00e-06 | 1:42:22 | 1:22:05
149
+ 5600 | 1 | 0.161568 | 0.149496 | 1.00e-06 | 1:43:16 | 1:21:08
150
+ 5650 | 1 | 0.176865 | 0.149929 | 1.00e-06 | 1:44:10 | 1:20:12
151
+ 5700 | 1 | 0.168786 | 0.149371 | 1.00e-06 | 1:45:05 | 1:19:16
152
+ 5750 | 1 | 0.166484 | 0.150760 | 1.00e-06 | 1:45:59 | 1:18:20
153
+ 5800 | 1 | 0.137071 | 0.151832 | 1.00e-06 | 1:46:53 | 1:17:24
154
+ 5850 | 1 | 0.089472 | 0.150615 | 1.00e-06 | 1:47:47 | 1:16:28
155
+ 5900 | 1 | 0.067500 | 0.148836 | 1.00e-06 | 1:48:41 | 1:15:32
156
+ 5950 | 1 | 0.122101 | 0.149209 | 1.00e-06 | 1:49:35 | 1:14:36
157
+ 6000 | 1 | 0.148845 | 0.147920 | 1.00e-06 | 1:50:30 | 1:13:40
158
+ [19:52:25] Saved checkpoint -> RESULTS/flicker8k/run_005/checkpoint-6000
159
+ [19:52:26] Generating 16 validation images ...
160
+ [19:52:44] Validation step 6000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0006000.png
161
+ 6050 | 1 | 0.372332 | 0.149612 | 1.00e-06 | 1:51:54 | 1:13:03
162
+ 6100 | 1 | 0.110921 | 0.149411 | 1.00e-06 | 1:52:48 | 1:12:07
163
+ 6150 | 1 | 0.147018 | 0.148020 | 1.00e-06 | 1:53:42 | 1:11:11
164
+ 6200 | 1 | 0.073424 | 0.147207 | 1.00e-06 | 1:54:36 | 1:10:14
165
+ 6250 | 1 | 0.211321 | 0.148783 | 1.00e-06 | 1:55:30 | 1:09:18
166
+ 6300 | 1 | 0.090099 | 0.146674 | 1.00e-06 | 1:56:25 | 1:08:22
167
+ 6350 | 1 | 0.033181 | 0.146438 | 1.00e-06 | 1:57:19 | 1:07:26
168
+ 6400 | 1 | 0.281948 | 0.148746 | 1.00e-06 | 1:58:13 | 1:06:30
169
+ 6450 | 1 | 0.096324 | 0.149271 | 1.00e-06 | 1:59:07 | 1:05:34
170
+ 6500 | 1 | 0.104531 | 0.149486 | 1.00e-06 | 2:00:02 | 1:04:38
171
+ 6550 | 1 | 0.063263 | 0.148161 | 1.00e-06 | 2:00:56 | 1:03:42
172
+ 6600 | 1 | 0.259750 | 0.149669 | 1.00e-06 | 2:01:51 | 1:02:46
173
+ 6650 | 1 | 0.166242 | 0.150889 | 1.00e-06 | 2:02:45 | 1:01:50
174
+ 6700 | 1 | 0.165641 | 0.150120 | 1.00e-06 | 2:03:39 | 1:00:54
175
+ 6750 | 1 | 0.073718 | 0.150243 | 1.00e-06 | 2:04:34 | 0:59:58
176
+ 6800 | 1 | 0.200519 | 0.150822 | 1.00e-06 | 2:05:28 | 0:59:02
177
+ 6850 | 1 | 0.111261 | 0.150736 | 1.00e-06 | 2:06:22 | 0:58:07
178
+ 6900 | 1 | 0.322001 | 0.152524 | 1.00e-06 | 2:07:17 | 0:57:11
179
+ 6950 | 1 | 0.198878 | 0.152504 | 1.00e-06 | 2:08:11 | 0:56:15
180
+ 7000 | 1 | 0.085534 | 0.150646 | 1.00e-06 | 2:09:05 | 0:55:19
181
+ [20:10:50] Generating 16 validation images ...
182
+ [20:11:09] Validation step 7000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0007000.png
183
+ 7050 | 1 | 0.158952 | 0.148371 | 1.00e-06 | 2:10:19 | 0:54:31
184
+ [20:12:35] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.139346 ---
185
+ 7100 | 2 | 0.180310 | 0.149395 | 1.00e-06 | 2:11:13 | 0:53:35
186
+ 7150 | 2 | 0.122880 | 0.149553 | 1.00e-06 | 2:12:07 | 0:52:39
187
+ 7200 | 2 | 0.223129 | 0.149657 | 1.00e-06 | 2:13:01 | 0:51:43
188
+ 7250 | 2 | 0.079336 | 0.149991 | 1.00e-06 | 2:13:55 | 0:50:48
189
+ 7300 | 2 | 0.095396 | 0.150172 | 1.00e-06 | 2:14:50 | 0:49:52
190
+ 7350 | 2 | 0.092915 | 0.148633 | 1.00e-06 | 2:15:44 | 0:48:56
191
+ 7400 | 2 | 0.276609 | 0.150404 | 1.00e-06 | 2:16:38 | 0:48:00
192
+ 7450 | 2 | 0.074748 | 0.149432 | 1.00e-06 | 2:17:33 | 0:47:04
193
+ 7500 | 2 | 0.179170 | 0.150551 | 1.00e-06 | 2:18:27 | 0:46:09
194
+ 7550 | 2 | 0.147148 | 0.150415 | 1.00e-06 | 2:19:21 | 0:45:13
195
+ 7600 | 2 | 0.102750 | 0.149789 | 1.00e-06 | 2:20:15 | 0:44:17
196
+ 7650 | 2 | 0.188523 | 0.150537 | 1.00e-06 | 2:21:10 | 0:43:21
197
+ 7700 | 2 | 0.194969 | 0.151317 | 1.00e-06 | 2:22:04 | 0:42:26
198
+ 7750 | 2 | 0.160246 | 0.152210 | 1.00e-06 | 2:22:58 | 0:41:30
199
+ 7800 | 2 | 0.245828 | 0.152583 | 1.00e-06 | 2:23:53 | 0:40:34
200
+ 7850 | 2 | 0.136216 | 0.152743 | 1.00e-06 | 2:24:47 | 0:39:39
201
+ 7900 | 2 | 0.096871 | 0.152815 | 1.00e-06 | 2:25:41 | 0:38:43
202
+ 7950 | 2 | 0.105159 | 0.151728 | 1.00e-06 | 2:26:35 | 0:37:48
203
+ 8000 | 2 | 0.193910 | 0.151544 | 1.00e-06 | 2:27:30 | 0:36:52
204
+ [20:29:25] Saved checkpoint -> RESULTS/flicker8k/run_005/checkpoint-8000
205
+ [20:29:27] Generating 16 validation images ...
206
+ [20:29:45] Validation step 8000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0008000.png
207
+ 8050 | 2 | 0.113952 | 0.151910 | 1.00e-06 | 2:28:55 | 0:36:04
208
+ 8100 | 2 | 0.065519 | 0.151388 | 1.00e-06 | 2:29:49 | 0:35:08
209
+ 8150 | 2 | 0.205928 | 0.152525 | 1.00e-06 | 2:30:44 | 0:34:12
210
+ 8200 | 2 | 0.129239 | 0.152985 | 1.00e-06 | 2:31:38 | 0:33:17
211
+ 8250 | 2 | 0.053371 | 0.152417 | 1.00e-06 | 2:32:32 | 0:32:21
212
+ 8300 | 2 | 0.157979 | 0.151813 | 1.00e-06 | 2:33:27 | 0:31:25
213
+ 8350 | 2 | 0.069563 | 0.150255 | 1.00e-06 | 2:34:21 | 0:30:30
214
+ 8400 | 2 | 0.115234 | 0.149471 | 1.00e-06 | 2:35:15 | 0:29:34
215
+ 8450 | 2 | 0.104158 | 0.148836 | 1.00e-06 | 2:36:10 | 0:28:38
216
+ 8500 | 2 | 0.144986 | 0.149833 | 1.00e-06 | 2:37:04 | 0:27:43
217
+ 8550 | 2 | 0.160808 | 0.149418 | 1.00e-06 | 2:37:58 | 0:26:47
218
+ 8600 | 2 | 0.275733 | 0.150133 | 1.00e-06 | 2:38:53 | 0:25:51
219
+ 8650 | 2 | 0.061831 | 0.147853 | 1.00e-06 | 2:39:47 | 0:24:56
220
+ 8700 | 2 | 0.131505 | 0.148710 | 1.00e-06 | 2:40:41 | 0:24:00
221
+ 8750 | 2 | 0.030992 | 0.147980 | 1.00e-06 | 2:41:36 | 0:23:05
222
+ 8800 | 2 | 0.061362 | 0.146856 | 1.00e-06 | 2:42:30 | 0:22:09
223
+ 8850 | 2 | 0.147791 | 0.147837 | 1.00e-06 | 2:43:24 | 0:21:14
224
+ 8900 | 2 | 0.143267 | 0.148247 | 1.00e-06 | 2:44:18 | 0:20:18
225
+ 8950 | 2 | 0.006629 | 0.146816 | 1.00e-06 | 2:45:13 | 0:19:23
226
+ 9000 | 2 | 0.145043 | 0.147030 | 1.00e-06 | 2:46:07 | 0:18:27
227
+ [20:47:53] Generating 16 validation images ...
228
+ [20:48:11] Validation step 9000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0009000.png
229
+ 9050 | 2 | 0.249487 | 0.148526 | 1.00e-06 | 2:47:21 | 0:17:34
230
+ 9100 | 2 | 0.105747 | 0.148082 | 1.00e-06 | 2:48:15 | 0:16:38
231
+ 9150 | 2 | 0.107439 | 0.146811 | 1.00e-06 | 2:49:09 | 0:15:42
232
+ 9200 | 2 | 0.304589 | 0.147809 | 1.00e-06 | 2:50:03 | 0:14:47
233
+ 9250 | 2 | 0.172197 | 0.148918 | 1.00e-06 | 2:50:58 | 0:13:51
234
+ 9300 | 2 | 0.217877 | 0.149263 | 1.00e-06 | 2:51:52 | 0:12:56
235
+ 9350 | 2 | 0.155415 | 0.150711 | 1.00e-06 | 2:52:46 | 0:12:00
236
+ 9400 | 2 | 0.167575 | 0.150251 | 1.00e-06 | 2:53:40 | 0:11:05
237
+ 9450 | 2 | 0.060052 | 0.149703 | 1.00e-06 | 2:54:35 | 0:10:09
238
+ 9500 | 2 | 0.027984 | 0.146578 | 1.00e-06 | 2:55:29 | 0:09:14
239
+ 9550 | 2 | 0.017517 | 0.143669 | 1.00e-06 | 2:56:23 | 0:08:18
240
+ 9600 | 2 | 0.119048 | 0.143083 | 1.00e-06 | 2:57:18 | 0:07:23
241
+ 9650 | 2 | 0.156412 | 0.143139 | 1.00e-06 | 2:58:12 | 0:06:27
242
+ 9700 | 2 | 0.161063 | 0.142544 | 1.00e-06 | 2:59:07 | 0:05:32
243
+ 9750 | 2 | 0.093102 | 0.142386 | 1.00e-06 | 3:00:01 | 0:04:36
244
+ 9800 | 2 | 0.126502 | 0.141325 | 1.00e-06 | 3:00:55 | 0:03:41
245
+ 9850 | 2 | 0.114386 | 0.141082 | 1.00e-06 | 3:01:50 | 0:02:46
246
+ 9900 | 2 | 0.075775 | 0.140779 | 1.00e-06 | 3:02:44 | 0:01:50
247
+ 9950 | 2 | 0.108480 | 0.139556 | 1.00e-06 | 3:03:38 | 0:00:55
248
+ 10000 | 2 | 0.179687 | 0.141172 | 1.00e-06 | 3:04:33 | 0:00:00
249
+ [21:06:29] Saved checkpoint -> RESULTS/flicker8k/run_005/checkpoint-10000
250
+ [21:06:29] Generating 16 validation images ...
251
+ [21:06:47] Validation step 10000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0010000.png
252
+ [21:06:48] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.140126 ---
253
+ [21:06:48] Saving final model ...
254
+ [21:07:06] Pipeline saved -> RESULTS/flicker8k/run_005
255
+ [21:07:06] Generating final validation collage ...
256
+ [21:07:06] Generating 16 validation images ...
257
+ [21:07:24] Validation step 10000: 16 images -> RESULTS/flicker8k/run_005/validation/collage_step_0010000.png
258
+ [21:07:24]
259
+ [21:07:24] ============================================================
260
+ [21:07:24] TRAINING SUMMARY
261
+ [21:07:24] ============================================================
262
+ [21:07:24] Total steps : 200
263
+ [21:07:24] Final loss : 0.179687
264
+ [21:07:24] Avg last 100 : 0.141172
265
+ [21:07:24] Min loss : 0.006629
266
+ [21:07:24] Total time : 3:05:40
267
+ [21:07:24] Output : RESULTS/flicker8k/run_005
268
+ [21:07:24] ============================================================
flicker8k/pixart_alpha/run_005/training_args.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-XL-2-512x512",
3
+ "revision": null,
4
+ "cache_dir": null,
5
+ "data_dir": "../data/flicker8k",
6
+ "caption_file_train": "caption_train.json",
7
+ "caption_file_val": "caption_val.json",
8
+ "images_dir": "images",
9
+ "max_captions_per_image": 5,
10
+ "proportion_empty_prompts": 0.1,
11
+ "results_root": "RESULTS",
12
+ "seed": 42,
13
+ "resolution": 512,
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+ "train_batch_size": 8,
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+ "max_train_steps": 10000,
16
+ "num_train_epochs": 3,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": false,
19
+ "learning_rate": 1e-06,
20
+ "scale_lr": false,
21
+ "lr_scheduler": "constant",
22
+ "lr_warmup_steps": 500,
23
+ "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,
27
+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 1.0,
29
+ "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,
33
+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
35
+ "log_every_n_steps": 50,
36
+ "max_sequence_length": 120,
37
+ "dataloader_num_workers": 4,
38
+ "output_dir": "RESULTS/flicker8k/run_005"
39
+ }
flicker8k/pixart_alpha/run_005/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "total_steps": 200,
3
+ "final_loss": 0.17968681454658508,
4
+ "avg_last_100": 0.14117241668049246,
5
+ "min_loss": 0.006628865841776133,
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+ "total_time": "3:05:40"
7
+ }
flicker8k/pixart_alpha/run_005/transformer/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "PixArtTransformer2DModel",
3
+ "_diffusers_version": "0.37.1",
4
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+ Training started: 2026-08-04 06:10:42
2
+ ==========================================================================================================================================================================
3
+ Step | Epoch | Loss | Avg100 | LossA | LossB | Adv | Wt | TAMmean | MaxDelta | LR | Elapsed | ETA
4
+ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5
+ [06:10:42] Run directory: RESULTS/flicker8k/run_006
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+ [06:10:42] AGD+TAM+SAD v3 | temp=0.1 curriculum=5000 max_delta=300
7
+ [06:10:42] TAM: enabled=True alpha=0.9 factor=0.5
8
+ [06:10:42] SAD: enabled=True temp=0.5
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+ [06:10:42] Loading PixArt-Alpha components ...
10
+ [06:10:50] Transformer params: 610,856,096 total, 610,856,096 trainable
11
+ [06:10:50] Building dataset ...
12
+ [06:10:50] TAM initialised: 28315 samples tracked.
13
+ [06:10:50]
14
+ [06:10:50] ================================================================
15
+ [06:10:50] Model = PixArt-alpha/PixArt-XL-2-512x512
16
+ [06:10:50] Output dir = RESULTS/flicker8k/run_006
17
+ [06:10:50] Num examples = 28315
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+ [06:10:50] Num epochs = 3
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+ [06:10:50] Batch/device = 8
20
+ [06:10:50] Grad accum = 1
21
+ [06:10:50] Effective BS = 8
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+ [06:10:50] Total optim steps = 10000
23
+ [06:10:50] LR = 1e-06
24
+ [06:10:50] Precision = bf16
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+ [06:10:50] Resolution = 512x512
26
+ [06:10:50] Max seq length = 120
27
+ [06:10:50] --- AGD ---
28
+ [06:10:50] Temperature = 0.1
29
+ [06:10:50] Curriculum steps = 5000
30
+ [06:10:50] Max timestep delta = 300
31
+ [06:10:50] --- TAM --- enabled=True
32
+ [06:10:50] TAM alpha = 0.9
33
+ [06:10:50] TAM factor = 0.5
34
+ [06:10:50] --- SAD --- enabled=True
35
+ [06:10:50] SAD temperature = 0.5
36
+ [06:10:50] ================================================================
37
+ [06:10:50]
38
+ 50 | 0 | 0.095109 | 0.095109 | 0.089769 | 0.092486 | 0.002717 | 1.0000 | -0.0000 | 3.00 | 1.00e-06 | 0:01:14 | 4:07:56
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+ 100 | 0 | 0.078988 | 0.087049 | 0.078162 | 0.077082 | -0.001080 | 1.0000 | -0.0000 | 6.00 | 1.00e-06 | 0:02:20 | 3:52:06
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+ 150 | 0 | 0.118049 | 0.097382 | 0.131393 | 0.123430 | -0.007963 | 1.0000 | -0.0000 | 9.00 | 1.00e-06 | 0:03:26 | 3:46:08
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+ 200 | 0 | 0.206367 | 0.124628 | 0.230807 | 0.217817 | -0.012989 | 1.0000 | -0.0000 | 12.00 | 1.00e-06 | 0:04:32 | 3:42:37
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+ 250 | 0 | 0.056268 | 0.110956 | 0.068532 | 0.061767 | -0.006765 | 1.0000 | -0.0000 | 15.00 | 1.00e-06 | 0:05:38 | 3:40:03
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+ 300 | 0 | 0.140119 | 0.115817 | 0.170557 | 0.152937 | -0.017620 | 1.0000 | -0.0001 | 18.00 | 1.00e-06 | 0:06:44 | 3:37:59
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+ 350 | 0 | 0.051614 | 0.106645 | 0.060903 | 0.052833 | -0.008070 | 1.0000 | -0.0001 | 21.00 | 1.00e-06 | 0:07:50 | 3:36:10
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+ 500 | 0 | 0.029914 | 0.086772 | 0.038379 | 0.032814 | -0.005565 | 1.0000 | -0.0002 | 30.00 | 1.00e-06 | 0:11:08 | 3:31:37
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+ [06:21:51] [TAM @ 500] mean=-0.0002 std=0.0013 max=0.0051 visits=4000
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+ 550 | 0 | 0.144190 | 0.091992 | 0.283994 | 0.229526 | -0.054469 | 1.0000 | -0.0002 | 33.00 | 1.00e-06 | 0:12:14 | 3:30:15
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+ 600 | 0 | 0.073065 | 0.090415 | 0.114007 | 0.089588 | -0.024419 | 1.0000 | -0.0003 | 36.00 | 1.00e-06 | 0:13:20 | 3:28:56
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+ 650 | 0 | 0.036668 | 0.086281 | 0.061587 | 0.050659 | -0.010928 | 1.0000 | -0.0003 | 39.00 | 1.00e-06 | 0:14:26 | 3:27:39
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+ 700 | 0 | 0.025416 | 0.081933 | 0.033911 | 0.024268 | -0.009643 | 1.0000 | -0.0004 | 42.00 | 1.00e-06 | 0:15:32 | 3:26:23
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+ 750 | 0 | 0.027883 | 0.078330 | 0.084849 | 0.062877 | -0.021972 | 1.0000 | -0.0004 | 45.00 | 1.00e-06 | 0:16:38 | 3:25:09
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+ 800 | 0 | 0.048213 | 0.076447 | 0.081243 | 0.061106 | -0.020137 | 1.0000 | -0.0005 | 48.00 | 1.00e-06 | 0:17:43 | 3:23:55
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+ 850 | 0 | 0.027160 | 0.073548 | 0.090872 | 0.062662 | -0.028209 | 1.0000 | -0.0005 | 51.00 | 1.00e-06 | 0:18:49 | 3:22:43
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+ 900 | 0 | 0.045908 | 0.072013 | 0.076077 | 0.051909 | -0.024168 | 1.0000 | -0.0006 | 54.00 | 1.00e-06 | 0:19:55 | 3:21:31
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+ 950 | 0 | 0.048365 | 0.070768 | 0.090574 | 0.065260 | -0.025314 | 1.0000 | -0.0006 | 57.00 | 1.00e-06 | 0:21:01 | 3:20:20
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+ 1000 | 0 | 0.039487 | 0.069204 | 0.070071 | 0.049417 | -0.020655 | 1.0000 | -0.0007 | 60.00 | 1.00e-06 | 0:22:07 | 3:19:10
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+ [06:32:50] [TAM @ 1000] mean=-0.0007 std=0.0029 max=0.0051 visits=8000
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+ [06:32:50] Generating 16 validation images ...
61
+ [06:33:08] Validation step 1000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0001000.png
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+ 1050 | 0 | 0.035485 | 0.067598 | 0.078078 | 0.053149 | -0.024929 | 1.0000 | -0.0008 | 63.00 | 1.00e-06 | 0:23:32 | 3:20:36
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+ 1100 | 0 | 0.022498 | 0.065548 | 0.050557 | 0.030827 | -0.019731 | 1.0000 | -0.0008 | 66.00 | 1.00e-06 | 0:24:38 | 3:19:18
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+ 1150 | 0 | 0.025107 | 0.063790 | 0.139448 | 0.080876 | -0.058572 | 1.0000 | -0.0009 | 69.00 | 1.00e-06 | 0:25:44 | 3:18:02
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+ 1200 | 0 | 0.074888 | 0.064252 | 0.164926 | 0.114799 | -0.050127 | 1.0000 | -0.0010 | 72.00 | 1.00e-06 | 0:26:49 | 3:16:46
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+ 1250 | 0 | 0.062011 | 0.064163 | 0.130326 | 0.085008 | -0.045318 | 1.0000 | -0.0010 | 75.00 | 1.00e-06 | 0:27:55 | 3:15:31
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+ 1300 | 0 | 0.061707 | 0.064068 | 0.260946 | 0.152340 | -0.108606 | 1.0000 | -0.0011 | 78.00 | 1.00e-06 | 0:29:01 | 3:14:16
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+ 1350 | 0 | 0.048504 | 0.063492 | 0.234203 | 0.131985 | -0.102218 | 1.0000 | -0.0012 | 81.00 | 1.00e-06 | 0:30:07 | 3:13:03
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+ 1400 | 0 | 0.043838 | 0.062790 | 0.098618 | 0.060797 | -0.037821 | 1.0000 | -0.0013 | 84.00 | 1.00e-06 | 0:31:13 | 3:11:50
70
+ 1450 | 0 | 0.007144 | 0.060871 | 0.021948 | 0.010097 | -0.011851 | 1.0000 | -0.0014 | 87.00 | 1.00e-06 | 0:32:19 | 3:10:37
71
+ 1500 | 0 | 0.068053 | 0.061110 | 0.156279 | 0.090005 | -0.066275 | 1.0000 | -0.0015 | 90.00 | 1.00e-06 | 0:33:25 | 3:09:25
72
+ [06:44:08] [TAM @ 1500] mean=-0.0015 std=0.0048 max=0.0051 visits=12000
73
+ 1550 | 0 | 0.030870 | 0.060135 | 0.074439 | 0.037960 | -0.036479 | 1.0000 | -0.0015 | 93.00 | 1.00e-06 | 0:34:31 | 3:08:13
74
+ 1600 | 0 | 0.005303 | 0.058421 | 0.013261 | 0.005800 | -0.007461 | 1.0000 | -0.0016 | 96.00 | 1.00e-06 | 0:35:37 | 3:07:01
75
+ 1650 | 0 | 0.046283 | 0.058054 | 0.124897 | 0.071161 | -0.053736 | 1.0000 | -0.0017 | 99.00 | 1.00e-06 | 0:36:43 | 3:05:50
76
+ 1700 | 0 | 0.023147 | 0.057027 | 0.069852 | 0.035494 | -0.034358 | 1.0000 | -0.0018 | 102.00 | 1.00e-06 | 0:37:49 | 3:04:39
77
+ 1750 | 0 | 0.073882 | 0.057509 | 0.234614 | 0.127354 | -0.107260 | 1.0000 | -0.0019 | 105.00 | 1.00e-06 | 0:38:55 | 3:03:29
78
+ 1800 | 0 | 0.009537 | 0.056176 | 0.303220 | 0.129996 | -0.173224 | 1.0000 | -0.0020 | 108.00 | 1.00e-06 | 0:40:01 | 3:02:18
79
+ 1850 | 0 | 0.044974 | 0.055873 | 0.157174 | 0.081242 | -0.075932 | 1.0000 | -0.0021 | 111.00 | 1.00e-06 | 0:41:07 | 3:01:08
80
+ 1900 | 0 | 0.011865 | 0.054715 | 0.170964 | 0.073084 | -0.097880 | 1.0000 | -0.0023 | 114.00 | 1.00e-06 | 0:42:13 | 2:59:59
81
+ 1950 | 0 | 0.025919 | 0.053977 | 0.247533 | 0.131399 | -0.116134 | 1.0000 | -0.0024 | 117.00 | 1.00e-06 | 0:43:19 | 2:58:49
82
+ 2000 | 0 | 0.019741 | 0.053121 | 0.168722 | 0.085166 | -0.083556 | 1.0000 | -0.0025 | 120.00 | 1.00e-06 | 0:44:24 | 2:57:39
83
+ [06:55:07] [TAM @ 2000] mean=-0.0025 std=0.0066 max=0.0051 visits=16000
84
+ [06:55:13] Saved checkpoint -> RESULTS/flicker8k/run_006/checkpoint-2000
85
+ [06:55:13] Generating 16 validation images ...
86
+ [06:55:31] Validation step 2000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0002000.png
87
+ 2050 | 0 | 0.026571 | 0.052473 | 0.136838 | 0.063508 | -0.073331 | 1.0000 | -0.0026 | 123.00 | 1.00e-06 | 0:45:54 | 2:58:00
88
+ 2100 | 0 | 0.025809 | 0.051838 | 0.242319 | 0.091311 | -0.151008 | 1.0000 | -0.0027 | 126.00 | 1.00e-06 | 0:47:00 | 2:56:48
89
+ 2150 | 0 | 0.026613 | 0.051252 | 0.161156 | 0.073394 | -0.087761 | 1.0000 | -0.0028 | 129.00 | 1.00e-06 | 0:48:06 | 2:55:37
90
+ 2200 | 0 | 0.021896 | 0.050585 | 0.087454 | 0.035689 | -0.051765 | 1.0000 | -0.0029 | 132.00 | 1.00e-06 | 0:49:11 | 2:54:26
91
+ 2250 | 0 | 0.024877 | 0.050013 | 0.139767 | 0.053861 | -0.085906 | 1.0000 | -0.0030 | 135.00 | 1.00e-06 | 0:50:17 | 2:53:15
92
+ 2300 | 0 | 0.029168 | 0.049560 | 0.261657 | 0.109115 | -0.152542 | 1.0000 | -0.0031 | 138.00 | 1.00e-06 | 0:51:23 | 2:52:04
93
+ 2350 | 0 | 0.030742 | 0.049160 | 0.193257 | 0.079272 | -0.113986 | 1.0000 | -0.0032 | 141.00 | 1.00e-06 | 0:52:29 | 2:50:53
94
+ 2400 | 0 | 0.008671 | 0.048316 | 0.040955 | 0.015635 | -0.025319 | 1.0000 | -0.0034 | 144.00 | 1.00e-06 | 0:53:35 | 2:49:43
95
+ 2450 | 0 | 0.010440 | 0.047543 | 0.072308 | 0.030797 | -0.041512 | 1.0000 | -0.0035 | 147.00 | 1.00e-06 | 0:54:41 | 2:48:33
96
+ 2500 | 0 | 0.006067 | 0.046714 | 0.031009 | 0.010104 | -0.020906 | 1.0000 | -0.0036 | 150.00 | 1.00e-06 | 0:55:47 | 2:47:23
97
+ [07:06:30] [TAM @ 2500] mean=-0.0036 std=0.0083 max=0.0051 visits=20000
98
+ 2550 | 0 | 0.012440 | 0.046042 | 0.070066 | 0.027001 | -0.043065 | 1.0000 | -0.0037 | 153.00 | 1.00e-06 | 0:56:53 | 2:46:13
99
+ 2600 | 0 | 0.024280 | 0.045623 | 0.161683 | 0.058391 | -0.103292 | 1.0000 | -0.0038 | 156.00 | 1.00e-06 | 0:57:59 | 2:45:03
100
+ 2650 | 0 | 0.030744 | 0.045343 | 0.231852 | 0.084086 | -0.147766 | 1.0000 | -0.0040 | 159.00 | 1.00e-06 | 0:59:05 | 2:43:54
101
+ 2700 | 0 | 0.007922 | 0.044650 | 0.041970 | 0.010751 | -0.031219 | 1.0000 | -0.0041 | 162.00 | 1.00e-06 | 1:00:11 | 2:42:44
102
+ 2750 | 0 | 0.005330 | 0.043935 | 0.040814 | 0.012778 | -0.028036 | 1.0000 | -0.0043 | 165.00 | 1.00e-06 | 1:01:17 | 2:41:35
103
+ 2800 | 0 | 0.008802 | 0.043307 | 0.040148 | 0.011762 | -0.028386 | 1.0000 | -0.0044 | 168.00 | 1.00e-06 | 1:02:23 | 2:40:26
104
+ 2850 | 0 | 0.022415 | 0.042941 | 0.149732 | 0.043865 | -0.105867 | 1.0000 | -0.0045 | 171.00 | 1.00e-06 | 1:03:29 | 2:39:17
105
+ 2900 | 0 | 0.024096 | 0.042616 | 0.115317 | 0.031709 | -0.083608 | 1.0000 | -0.0046 | 174.00 | 1.00e-06 | 1:04:35 | 2:38:08
106
+ 2950 | 0 | 0.015519 | 0.042157 | 0.222782 | 0.070646 | -0.152136 | 1.0000 | -0.0047 | 177.00 | 1.00e-06 | 1:05:41 | 2:36:59
107
+ 3000 | 0 | 0.011184 | 0.041640 | 0.093678 | 0.026111 | -0.067567 | 1.0000 | -0.0049 | 180.00 | 1.00e-06 | 1:06:47 | 2:35:50
108
+ [07:17:30] [TAM @ 3000] mean=-0.0049 std=0.0098 max=0.0051 visits=24000
109
+ [07:17:30] Generating 16 validation images ...
110
+ [07:17:48] Validation step 3000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0003000.png
111
+ 3050 | 0 | 0.014447 | 0.041195 | 0.169790 | 0.039832 | -0.129958 | 1.0000 | -0.0050 | 183.00 | 1.00e-06 | 1:08:11 | 2:35:23
112
+ 3100 | 0 | 0.008853 | 0.040673 | 0.061962 | 0.018406 | -0.043556 | 1.0000 | -0.0052 | 186.00 | 1.00e-06 | 1:09:17 | 2:34:13
113
+ 3150 | 0 | 0.025187 | 0.040427 | 0.181523 | 0.055208 | -0.126315 | 1.0000 | -0.0053 | 189.00 | 1.00e-06 | 1:10:23 | 2:33:04
114
+ 3200 | 0 | 0.007990 | 0.039920 | 0.051975 | 0.011543 | -0.040432 | 1.0000 | -0.0054 | 192.00 | 1.00e-06 | 1:11:29 | 2:31:55
115
+ 3250 | 0 | 0.005021 | 0.039383 | 0.091085 | 0.025614 | -0.065471 | 1.0000 | -0.0056 | 195.00 | 1.00e-06 | 1:12:35 | 2:30:45
116
+ 3300 | 0 | 0.016897 | 0.039043 | 0.135224 | 0.033267 | -0.101957 | 1.0000 | -0.0057 | 198.00 | 1.00e-06 | 1:13:41 | 2:29:36
117
+ 3350 | 0 | 0.006563 | 0.038558 | 0.138175 | 0.039319 | -0.098856 | 1.0000 | -0.0059 | 201.00 | 1.00e-06 | 1:14:47 | 2:28:27
118
+ 3400 | 0 | 0.015607 | 0.038220 | 0.218203 | 0.068095 | -0.150108 | 1.0000 | -0.0061 | 204.00 | 1.00e-06 | 1:15:53 | 2:27:18
119
+ 3450 | 0 | 0.007306 | 0.037772 | 0.196940 | 0.053362 | -0.143578 | 1.0000 | -0.0062 | 207.00 | 1.00e-06 | 1:16:59 | 2:26:09
120
+ 3500 | 0 | 0.046721 | 0.037900 | 0.269528 | 0.072890 | -0.196637 | 1.0000 | -0.0064 | 210.00 | 1.00e-06 | 1:18:05 | 2:25:00
121
+ [07:28:47] [TAM @ 3500] mean=-0.0064 std=0.0114 max=0.0051 visits=28000
122
+ [07:29:39] --- Epoch 0 | Steps: 3540 | Avg Loss: 0.043419 ---
123
+ 3550 | 1 | 0.005746 | 0.037447 | 0.141078 | 0.035973 | -0.105105 | 1.0000 | -0.0065 | 213.00 | 1.00e-06 | 1:19:10 | 2:23:51
124
+ 3600 | 1 | 0.012045 | 0.037095 | 0.200386 | 0.053816 | -0.146570 | 1.0000 | -0.0067 | 216.00 | 1.00e-06 | 1:20:16 | 2:22:42
125
+ 3650 | 1 | 0.008397 | 0.036701 | 0.319653 | 0.083822 | -0.235832 | 1.0000 | -0.0068 | 219.00 | 1.00e-06 | 1:21:22 | 2:21:33
126
+ 3700 | 1 | 0.003946 | 0.036259 | 0.121226 | 0.028445 | -0.092781 | 1.0000 | -0.0070 | 222.00 | 1.00e-06 | 1:22:28 | 2:20:25
127
+ 3750 | 1 | 0.004800 | 0.035839 | 0.048065 | 0.006814 | -0.041251 | 1.0000 | -0.0071 | 225.00 | 1.00e-06 | 1:23:34 | 2:19:16
128
+ 3800 | 1 | 0.008986 | 0.035486 | 0.201462 | 0.053904 | -0.147558 | 1.0000 | -0.0073 | 228.00 | 1.00e-06 | 1:24:40 | 2:18:08
129
+ 3850 | 1 | 0.006544 | 0.035110 | 0.209206 | 0.048938 | -0.160268 | 1.0000 | -0.0074 | 231.00 | 1.00e-06 | 1:25:45 | 2:17:00
130
+ 3900 | 1 | 0.001541 | 0.034680 | 0.013670 | 0.001247 | -0.012423 | 1.0000 | -0.0075 | 234.00 | 1.00e-06 | 1:26:51 | 2:15:51
131
+ 3950 | 1 | 0.009670 | 0.034363 | 0.262402 | 0.051324 | -0.211078 | 1.0000 | -0.0077 | 237.00 | 1.00e-06 | 1:27:57 | 2:14:43
132
+ 4000 | 1 | 0.008734 | 0.034043 | 0.131794 | 0.026601 | -0.105193 | 1.0000 | -0.0078 | 240.00 | 1.00e-06 | 1:29:03 | 2:13:35
133
+ [07:39:46] [TAM @ 4000] mean=-0.0078 std=0.0133 max=0.0051 visits=31995
134
+ [07:39:52] Saved checkpoint -> RESULTS/flicker8k/run_006/checkpoint-4000
135
+ [07:39:52] Generating 16 validation images ...
136
+ [07:40:10] Validation step 4000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0004000.png
137
+ 4050 | 1 | 0.006100 | 0.033698 | 0.075287 | 0.012006 | -0.063281 | 1.0000 | -0.0080 | 243.00 | 1.00e-06 | 1:30:33 | 2:13:01
138
+ 4100 | 1 | 0.005811 | 0.033358 | 0.157294 | 0.030337 | -0.126956 | 1.0000 | -0.0081 | 246.00 | 1.00e-06 | 1:31:38 | 2:11:52
139
+ 4150 | 1 | 0.005321 | 0.033020 | 0.141365 | 0.031350 | -0.110015 | 1.0000 | -0.0083 | 249.00 | 1.00e-06 | 1:32:44 | 2:10:44
140
+ 4200 | 1 | 0.002431 | 0.032656 | 0.033687 | 0.004148 | -0.029539 | 1.0000 | -0.0084 | 252.00 | 1.00e-06 | 1:33:50 | 2:09:35
141
+ 4250 | 1 | 0.009477 | 0.032383 | 0.098109 | 0.016369 | -0.081740 | 1.0000 | -0.0086 | 255.00 | 1.00e-06 | 1:34:56 | 2:08:26
142
+ 4300 | 1 | 0.012533 | 0.032152 | 0.224124 | 0.046428 | -0.177696 | 1.0000 | -0.0088 | 258.00 | 1.00e-06 | 1:36:02 | 2:07:18
143
+ 4350 | 1 | 0.010273 | 0.031901 | 0.142757 | 0.025877 | -0.116880 | 1.0000 | -0.0089 | 261.00 | 1.00e-06 | 1:37:07 | 2:06:09
144
+ 4400 | 1 | 0.007480 | 0.031623 | 0.193115 | 0.031496 | -0.161620 | 1.0000 | -0.0090 | 264.00 | 1.00e-06 | 1:38:13 | 2:05:01
145
+ 4450 | 1 | 0.008581 | 0.031364 | 0.100612 | 0.016944 | -0.083668 | 1.0000 | -0.0092 | 267.00 | 1.00e-06 | 1:39:19 | 2:03:52
146
+ 4500 | 1 | 0.002852 | 0.031048 | 0.084532 | 0.011910 | -0.072622 | 1.0000 | -0.0093 | 270.00 | 1.00e-06 | 1:40:25 | 2:02:44
147
+ [07:51:08] [TAM @ 4500] mean=-0.0093 std=0.0150 max=0.0051 visits=35995
148
+ 4550 | 1 | 0.003690 | 0.030747 | 0.223724 | 0.029752 | -0.193972 | 1.0000 | -0.0095 | 273.00 | 1.00e-06 | 1:41:31 | 2:01:36
149
+ 4600 | 1 | 0.002532 | 0.030440 | 0.101328 | 0.019851 | -0.081477 | 1.0000 | -0.0096 | 276.00 | 1.00e-06 | 1:42:37 | 2:00:27
150
+ 4650 | 1 | 0.005142 | 0.030168 | 0.197342 | 0.029895 | -0.167447 | 1.0000 | -0.0098 | 279.00 | 1.00e-06 | 1:43:42 | 1:59:19
151
+ 4700 | 1 | 0.005644 | 0.029907 | 0.221121 | 0.033889 | -0.187232 | 1.0000 | -0.0099 | 282.00 | 1.00e-06 | 1:44:48 | 1:58:11
152
+ 4750 | 1 | 0.003814 | 0.029633 | 0.091830 | 0.012517 | -0.079313 | 1.0000 | -0.0101 | 285.00 | 1.00e-06 | 1:45:54 | 1:57:03
153
+ 4800 | 1 | 0.002832 | 0.029354 | 0.089562 | 0.010089 | -0.079473 | 1.0000 | -0.0103 | 288.00 | 1.00e-06 | 1:47:00 | 1:55:55
154
+ 4850 | 1 | 0.003495 | 0.029087 | 0.114881 | 0.015768 | -0.099114 | 1.0000 | -0.0104 | 291.00 | 1.00e-06 | 1:48:06 | 1:54:47
155
+ 4900 | 1 | 0.007401 | 0.028866 | 0.216290 | 0.030921 | -0.185369 | 1.0000 | -0.0106 | 294.00 | 1.00e-06 | 1:49:12 | 1:53:39
156
+ 4950 | 1 | 0.004886 | 0.028623 | 0.115850 | 0.014801 | -0.101049 | 1.0000 | -0.0108 | 297.00 | 1.00e-06 | 1:50:17 | 1:52:31
157
+ 5000 | 1 | 0.002803 | 0.028365 | 0.160872 | 0.020481 | -0.140392 | 1.0000 | -0.0109 | 300.00 | 1.00e-06 | 1:51:23 | 1:51:23
158
+ [08:02:06] [TAM @ 5000] mean=-0.0109 std=0.0165 max=0.0051 visits=39995
159
+ [08:02:06] Generating 16 validation images ...
160
+ [08:02:24] Validation step 5000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0005000.png
161
+ 5050 | 1 | 0.002519 | 0.027439 | 0.105318 | 0.022523 | -0.082795 | 1.0000 | -0.0110 | 300.00 | 1.00e-06 | 1:52:48 | 1:50:34
162
+ 5100 | 1 | 0.019059 | 0.026840 | 0.194110 | 0.075745 | -0.118366 | 1.0000 | -0.0111 | 300.00 | 1.00e-06 | 1:53:53 | 1:49:25
163
+ 5150 | 1 | 0.008970 | 0.025749 | 0.054194 | 0.014668 | -0.039526 | 1.0000 | -0.0112 | 300.00 | 1.00e-06 | 1:54:59 | 1:48:17
164
+ 5200 | 1 | 0.015033 | 0.023836 | 0.105226 | 0.027870 | -0.077356 | 1.0000 | -0.0113 | 300.00 | 1.00e-06 | 1:56:05 | 1:47:09
165
+ 5250 | 1 | 0.070467 | 0.023978 | 0.144079 | 0.097580 | -0.046499 | 1.0000 | -0.0114 | 300.00 | 1.00e-06 | 1:57:11 | 1:46:01
166
+ 5300 | 1 | 0.009158 | 0.022668 | 0.064827 | 0.015702 | -0.049125 | 1.0000 | -0.0116 | 300.00 | 1.00e-06 | 1:58:17 | 1:44:53
167
+ 5350 | 1 | 0.013460 | 0.022287 | 0.141214 | 0.060400 | -0.080814 | 1.0000 | -0.0117 | 300.00 | 1.00e-06 | 1:59:23 | 1:43:46
168
+ 5400 | 1 | 0.031614 | 0.021994 | 0.124400 | 0.058369 | -0.066031 | 1.0000 | -0.0118 | 300.00 | 1.00e-06 | 2:00:29 | 1:42:38
169
+ 5450 | 1 | 0.317402 | 0.024864 | 0.346763 | 0.323133 | -0.023630 | 1.0000 | -0.0119 | 300.00 | 1.00e-06 | 2:01:35 | 1:41:30
170
+ 5500 | 1 | 0.018602 | 0.024751 | 0.142464 | 0.042912 | -0.099551 | 1.0000 | -0.0120 | 300.00 | 1.00e-06 | 2:02:40 | 1:40:22
171
+ [08:13:23] [TAM @ 5500] mean=-0.0120 std=0.0171 max=0.0051 visits=43995
172
+ 5550 | 1 | 0.005168 | 0.023361 | 0.070685 | 0.007094 | -0.063590 | 1.0000 | -0.0121 | 300.00 | 1.00e-06 | 2:03:46 | 1:39:14
173
+ 5600 | 1 | 0.011121 | 0.022741 | 0.045756 | 0.016884 | -0.028872 | 1.0000 | -0.0122 | 300.00 | 1.00e-06 | 2:04:52 | 1:38:07
174
+ 5650 | 1 | 0.133223 | 0.023707 | 0.230775 | 0.199640 | -0.031135 | 1.0000 | -0.0123 | 300.00 | 1.00e-06 | 2:05:58 | 1:36:59
175
+ 5700 | 1 | 0.028235 | 0.023735 | 0.147974 | 0.079942 | -0.068032 | 1.0000 | -0.0124 | 300.00 | 1.00e-06 | 2:07:04 | 1:35:51
176
+ 5750 | 1 | 0.070230 | 0.024158 | 0.091126 | 0.079827 | -0.011299 | 1.0000 | -0.0125 | 300.00 | 1.00e-06 | 2:08:10 | 1:34:44
177
+ 5800 | 1 | 0.005741 | 0.023734 | 0.299408 | 0.082850 | -0.216558 | 1.0000 | -0.0126 | 300.00 | 1.00e-06 | 2:09:16 | 1:33:36
178
+ 5850 | 1 | 0.007014 | 0.023532 | 0.078411 | 0.011675 | -0.066736 | 1.0000 | -0.0127 | 300.00 | 1.00e-06 | 2:10:21 | 1:32:28
179
+ 5900 | 1 | 0.073375 | 0.023807 | 0.128592 | 0.100363 | -0.028229 | 1.0000 | -0.0128 | 300.00 | 1.00e-06 | 2:11:27 | 1:31:21
180
+ 5950 | 1 | 0.033155 | 0.023655 | 0.039628 | 0.036421 | -0.003208 | 1.0000 | -0.0129 | 300.00 | 1.00e-06 | 2:12:33 | 1:30:13
181
+ 6000 | 1 | 0.001782 | 0.023278 | 0.215861 | 0.043301 | -0.172561 | 1.0000 | -0.0130 | 300.00 | 1.00e-06 | 2:13:39 | 1:29:06
182
+ [08:24:22] [TAM @ 6000] mean=-0.0130 std=0.0177 max=0.0051 visits=47995
183
+ [08:24:28] Saved checkpoint -> RESULTS/flicker8k/run_006/checkpoint-6000
184
+ [08:24:28] Generating 16 validation images ...
185
+ [08:24:46] Validation step 6000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0006000.png
186
+ 6050 | 1 | 0.056916 | 0.023492 | 0.144662 | 0.101351 | -0.043311 | 1.0000 | -0.0131 | 300.00 | 1.00e-06 | 2:15:09 | 1:28:14
187
+ 6100 | 1 | 0.036503 | 0.023632 | 0.156591 | 0.062673 | -0.093918 | 1.0000 | -0.0132 | 300.00 | 1.00e-06 | 2:16:14 | 1:27:06
188
+ 6150 | 1 | 0.004364 | 0.023425 | 0.120774 | 0.018473 | -0.102301 | 1.0000 | -0.0133 | 300.00 | 1.00e-06 | 2:17:20 | 1:25:58
189
+ 6200 | 1 | 0.083913 | 0.023515 | 0.097041 | 0.089699 | -0.007342 | 1.0000 | -0.0134 | 300.00 | 1.00e-06 | 2:18:26 | 1:24:51
190
+ 6250 | 1 | 0.149176 | 0.024387 | 0.180188 | 0.163683 | -0.016505 | 1.0000 | -0.0135 | 300.00 | 1.00e-06 | 2:19:32 | 1:23:43
191
+ 6300 | 1 | 0.034125 | 0.024111 | 0.126411 | 0.072907 | -0.053503 | 1.0000 | -0.0136 | 300.00 | 1.00e-06 | 2:20:38 | 1:22:35
192
+ 6350 | 1 | 0.009511 | 0.023721 | 0.258747 | 0.053058 | -0.205689 | 1.0000 | -0.0137 | 300.00 | 1.00e-06 | 2:21:44 | 1:21:28
193
+ 6400 | 1 | 0.004894 | 0.023331 | 0.262743 | 0.078565 | -0.184179 | 1.0000 | -0.0138 | 300.00 | 1.00e-06 | 2:22:50 | 1:20:20
194
+ 6450 | 1 | 0.011974 | 0.023380 | 0.123587 | 0.032422 | -0.091165 | 1.0000 | -0.0139 | 300.00 | 1.00e-06 | 2:23:56 | 1:19:13
195
+ 6500 | 1 | 0.068707 | 0.023386 | 0.170657 | 0.109595 | -0.061062 | 1.0000 | -0.0140 | 300.00 | 1.00e-06 | 2:25:01 | 1:18:05
196
+ [08:35:44] [TAM @ 6500] mean=-0.0140 std=0.0180 max=0.0046 visits=51995
197
+ 6550 | 1 | 0.107353 | 0.024151 | 0.145334 | 0.133313 | -0.012022 | 1.0000 | -0.0141 | 300.00 | 1.00e-06 | 2:26:07 | 1:16:58
198
+ 6600 | 1 | 0.008027 | 0.024178 | 0.195368 | 0.041623 | -0.153745 | 1.0000 | -0.0142 | 300.00 | 1.00e-06 | 2:27:13 | 1:15:50
199
+ 6650 | 1 | 0.056693 | 0.024282 | 0.156284 | 0.095595 | -0.060689 | 1.0000 | -0.0143 | 300.00 | 1.00e-06 | 2:28:19 | 1:14:43
200
+ 6700 | 1 | 0.010855 | 0.024159 | 0.161251 | 0.058662 | -0.102589 | 1.0000 | -0.0144 | 300.00 | 1.00e-06 | 2:29:25 | 1:13:35
201
+ 6750 | 1 | 0.039374 | 0.023814 | 0.134682 | 0.083224 | -0.051457 | 1.0000 | -0.0145 | 300.00 | 1.00e-06 | 2:30:31 | 1:12:28
202
+ 6800 | 1 | 0.087624 | 0.024595 | 0.190999 | 0.131514 | -0.059485 | 1.0000 | -0.0146 | 300.00 | 1.00e-06 | 2:31:37 | 1:11:21
203
+ 6850 | 1 | 0.267062 | 0.026816 | 0.273322 | 0.270444 | -0.002878 | 1.0000 | -0.0147 | 300.00 | 1.00e-06 | 2:32:43 | 1:10:13
204
+ 6900 | 1 | 0.021680 | 0.026914 | 0.051351 | 0.035337 | -0.016013 | 1.0000 | -0.0148 | 300.00 | 1.00e-06 | 2:33:49 | 1:09:06
205
+ 6950 | 1 | 0.043824 | 0.027093 | 0.065841 | 0.045410 | -0.020431 | 1.0000 | -0.0149 | 300.00 | 1.00e-06 | 2:34:54 | 1:07:59
206
+ 7000 | 1 | 0.002970 | 0.026926 | 0.100110 | 0.011820 | -0.088290 | 1.0000 | -0.0150 | 300.00 | 1.00e-06 | 2:36:00 | 1:06:51
207
+ [08:46:43] [TAM @ 7000] mean=-0.0150 std=0.0184 max=0.0046 visits=55995
208
+ [08:46:43] Generating 16 validation images ...
209
+ [08:47:01] Validation step 7000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0007000.png
210
+ 7050 | 1 | 0.008832 | 0.026748 | 0.231528 | 0.067217 | -0.164312 | 1.0000 | -0.0151 | 300.00 | 1.00e-06 | 2:37:24 | 1:05:52
211
+ [08:48:46] --- Epoch 1 | Steps: 3540 | Avg Loss: 0.022212 ---
212
+ 7100 | 2 | 0.001266 | 0.026503 | 0.044403 | 0.005928 | -0.038475 | 1.0000 | -0.0152 | 300.00 | 1.00e-06 | 2:38:30 | 1:04:44
213
+ 7150 | 2 | 0.009946 | 0.026336 | 0.118677 | 0.030894 | -0.087783 | 1.0000 | -0.0153 | 300.00 | 1.00e-06 | 2:39:36 | 1:03:37
214
+ 7200 | 2 | 0.010456 | 0.026222 | 0.083165 | 0.016401 | -0.066764 | 1.0000 | -0.0154 | 300.00 | 1.00e-06 | 2:40:41 | 1:02:29
215
+ 7250 | 2 | 0.039953 | 0.026372 | 0.139641 | 0.063178 | -0.076462 | 1.0000 | -0.0155 | 300.00 | 1.00e-06 | 2:41:47 | 1:01:22
216
+ 7300 | 2 | 0.015797 | 0.026239 | 0.200857 | 0.062576 | -0.138281 | 1.0000 | -0.0156 | 300.00 | 1.00e-06 | 2:42:53 | 1:00:14
217
+ 7350 | 2 | 0.011448 | 0.026046 | 0.100008 | 0.033999 | -0.066009 | 1.0000 | -0.0157 | 300.00 | 1.00e-06 | 2:43:59 | 0:59:07
218
+ 7400 | 2 | 0.052916 | 0.026488 | 0.335594 | 0.172893 | -0.162701 | 1.0000 | -0.0158 | 300.00 | 1.00e-06 | 2:45:05 | 0:58:00
219
+ 7450 | 2 | 0.025473 | 0.026639 | 0.296049 | 0.130791 | -0.165258 | 1.0000 | -0.0158 | 300.00 | 1.00e-06 | 2:46:11 | 0:56:53
220
+ 7500 | 2 | 0.086048 | 0.027438 | 0.250854 | 0.159766 | -0.091088 | 1.0000 | -0.0159 | 300.00 | 1.00e-06 | 2:47:17 | 0:55:45
221
+ [08:58:00] [TAM @ 7500] mean=-0.0159 std=0.0189 max=0.0046 visits=59990
222
+ 7550 | 2 | 0.026573 | 0.027580 | 0.205728 | 0.067002 | -0.138727 | 1.0000 | -0.0160 | 300.00 | 1.00e-06 | 2:48:23 | 0:54:38
223
+ 7600 | 2 | 0.003364 | 0.027371 | 0.068300 | 0.007703 | -0.060597 | 1.0000 | -0.0161 | 300.00 | 1.00e-06 | 2:49:29 | 0:53:31
224
+ 7650 | 2 | 0.041941 | 0.027483 | 0.160269 | 0.093425 | -0.066844 | 1.0000 | -0.0162 | 300.00 | 1.00e-06 | 2:50:35 | 0:52:24
225
+ 7700 | 2 | 0.142353 | 0.028827 | 0.302402 | 0.215427 | -0.086975 | 1.0000 | -0.0163 | 300.00 | 1.00e-06 | 2:51:40 | 0:51:16
226
+ 7750 | 2 | 0.046888 | 0.029242 | 0.144458 | 0.080969 | -0.063489 | 1.0000 | -0.0164 | 300.00 | 1.00e-06 | 2:52:46 | 0:50:09
227
+ 7800 | 2 | 0.011511 | 0.029270 | 0.193588 | 0.060384 | -0.133204 | 1.0000 | -0.0165 | 300.00 | 1.00e-06 | 2:53:52 | 0:49:02
228
+ 7850 | 2 | 0.132586 | 0.030371 | 0.182020 | 0.157922 | -0.024097 | 1.0000 | -0.0165 | 300.00 | 1.00e-06 | 2:54:58 | 0:47:55
229
+ 7900 | 2 | 0.003771 | 0.030168 | 0.119952 | 0.018305 | -0.101647 | 1.0000 | -0.0166 | 300.00 | 1.00e-06 | 2:56:04 | 0:46:48
230
+ 7950 | 2 | 0.003717 | 0.030050 | 0.112261 | 0.030000 | -0.082261 | 1.0000 | -0.0167 | 300.00 | 1.00e-06 | 2:57:10 | 0:45:41
231
+ 8000 | 2 | 0.025063 | 0.030189 | 0.099282 | 0.049839 | -0.049443 | 1.0000 | -0.0168 | 300.00 | 1.00e-06 | 2:58:15 | 0:44:33
232
+ [09:08:58] [TAM @ 8000] mean=-0.0168 std=0.0194 max=0.0046 visits=63990
233
+ [09:09:04] Saved checkpoint -> RESULTS/flicker8k/run_006/checkpoint-8000
234
+ [09:09:05] Generating 16 validation images ...
235
+ [09:09:23] Validation step 8000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0008000.png
236
+ 8050 | 2 | 0.006498 | 0.030109 | 0.306662 | 0.070920 | -0.235742 | 1.0000 | -0.0169 | 300.00 | 1.00e-06 | 2:59:46 | 0:43:32
237
+ 8100 | 2 | 0.008079 | 0.030101 | 0.089700 | 0.018469 | -0.071231 | 1.0000 | -0.0170 | 300.00 | 1.00e-06 | 3:00:52 | 0:42:25
238
+ 8150 | 2 | 0.270470 | 0.032554 | 0.330709 | 0.302033 | -0.028676 | 1.0000 | -0.0171 | 300.00 | 1.00e-06 | 3:01:58 | 0:41:18
239
+ 8200 | 2 | 0.001329 | 0.032488 | 0.051992 | 0.007832 | -0.044160 | 1.0000 | -0.0172 | 300.00 | 1.00e-06 | 3:03:04 | 0:40:11
240
+ 8250 | 2 | 0.014438 | 0.032582 | 0.069951 | 0.030112 | -0.039839 | 1.0000 | -0.0173 | 300.00 | 1.00e-06 | 3:04:09 | 0:39:03
241
+ 8300 | 2 | 0.286571 | 0.035279 | 0.332653 | 0.313795 | -0.018858 | 1.0000 | -0.0174 | 300.00 | 1.00e-06 | 3:05:15 | 0:37:56
242
+ 8350 | 2 | 0.007187 | 0.035285 | 0.140099 | 0.031555 | -0.108544 | 1.0000 | -0.0175 | 300.00 | 1.00e-06 | 3:06:21 | 0:36:49
243
+ 8400 | 2 | 0.078250 | 0.035911 | 0.175324 | 0.124366 | -0.050957 | 1.0000 | -0.0176 | 300.00 | 1.00e-06 | 3:07:27 | 0:35:42
244
+ 8450 | 2 | 0.011268 | 0.035951 | 0.129854 | 0.051075 | -0.078779 | 1.0000 | -0.0177 | 300.00 | 1.00e-06 | 3:08:33 | 0:34:35
245
+ 8500 | 2 | 0.085862 | 0.036342 | 0.127547 | 0.112633 | -0.014915 | 1.0000 | -0.0178 | 300.00 | 1.00e-06 | 3:09:39 | 0:33:28
246
+ [09:20:21] [TAM @ 8500] mean=-0.0178 std=0.0200 max=0.0046 visits=67990
247
+ 8550 | 2 | 0.003110 | 0.036316 | 0.152128 | 0.033134 | -0.118993 | 1.0000 | -0.0179 | 300.00 | 1.00e-06 | 3:10:44 | 0:32:20
248
+ 8600 | 2 | 0.051273 | 0.036708 | 0.117723 | 0.072398 | -0.045325 | 1.0000 | -0.0180 | 300.00 | 1.00e-06 | 3:11:50 | 0:31:13
249
+ 8650 | 2 | 0.004675 | 0.036671 | 0.133785 | 0.035739 | -0.098045 | 1.0000 | -0.0181 | 300.00 | 1.00e-06 | 3:12:56 | 0:30:06
250
+ 8700 | 2 | 0.017245 | 0.036804 | 0.032298 | 0.019466 | -0.012832 | 1.0000 | -0.0182 | 300.00 | 1.00e-06 | 3:14:02 | 0:28:59
251
+ 8750 | 2 | 0.032706 | 0.037083 | 0.125132 | 0.067297 | -0.057835 | 1.0000 | -0.0183 | 300.00 | 1.00e-06 | 3:15:08 | 0:27:52
252
+ 8800 | 2 | 0.022995 | 0.037223 | 0.233706 | 0.060008 | -0.173698 | 1.0000 | -0.0183 | 300.00 | 1.00e-06 | 3:16:14 | 0:26:45
253
+ 8850 | 2 | 0.080069 | 0.037958 | 0.144699 | 0.113551 | -0.031148 | 1.0000 | -0.0184 | 300.00 | 1.00e-06 | 3:17:20 | 0:25:38
254
+ 8900 | 2 | 0.011695 | 0.038060 | 0.199406 | 0.064040 | -0.135366 | 1.0000 | -0.0185 | 300.00 | 1.00e-06 | 3:18:25 | 0:24:31
255
+ 8950 | 2 | 0.003849 | 0.038002 | 0.118438 | 0.026205 | -0.092232 | 1.0000 | -0.0186 | 300.00 | 1.00e-06 | 3:19:31 | 0:23:24
256
+ 9000 | 2 | 0.016394 | 0.038078 | 0.097576 | 0.042165 | -0.055411 | 1.0000 | -0.0187 | 300.00 | 1.00e-06 | 3:20:37 | 0:22:17
257
+ [09:31:20] [TAM @ 9000] mean=-0.0187 std=0.0204 max=0.0029 visits=71990
258
+ [09:31:20] Generating 16 validation images ...
259
+ [09:31:38] Validation step 9000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0009000.png
260
+ 9050 | 2 | 0.001676 | 0.038034 | 0.159356 | 0.020934 | -0.138422 | 1.0000 | -0.0188 | 300.00 | 1.00e-06 | 3:22:01 | 0:21:12
261
+ 9100 | 2 | 0.189428 | 0.039870 | 0.197769 | 0.196649 | -0.001120 | 1.0000 | -0.0189 | 300.00 | 1.00e-06 | 3:23:07 | 0:20:05
262
+ 9150 | 2 | 0.030960 | 0.040127 | 0.035058 | 0.027499 | -0.007559 | 1.0000 | -0.0190 | 300.00 | 1.00e-06 | 3:24:13 | 0:18:58
263
+ 9200 | 2 | 0.069525 | 0.040798 | 0.081099 | 0.075180 | -0.005918 | 1.0000 | -0.0191 | 300.00 | 1.00e-06 | 3:25:19 | 0:17:51
264
+ 9250 | 2 | 0.023664 | 0.040939 | 0.048190 | 0.028012 | -0.020178 | 1.0000 | -0.0191 | 300.00 | 1.00e-06 | 3:26:24 | 0:16:44
265
+ 9300 | 2 | 0.037101 | 0.041185 | 0.221670 | 0.099234 | -0.122436 | 1.0000 | -0.0192 | 300.00 | 1.00e-06 | 3:27:30 | 0:15:37
266
+ 9350 | 2 | 0.127357 | 0.042356 | 0.235039 | 0.191404 | -0.043635 | 1.0000 | -0.0193 | 300.00 | 1.00e-06 | 3:28:36 | 0:14:30
267
+ 9400 | 2 | 0.034600 | 0.042627 | 0.160500 | 0.077300 | -0.083200 | 1.0000 | -0.0194 | 300.00 | 1.00e-06 | 3:29:42 | 0:13:23
268
+ 9450 | 2 | 0.060309 | 0.043144 | 0.115347 | 0.069969 | -0.045378 | 1.0000 | -0.0195 | 300.00 | 1.00e-06 | 3:30:48 | 0:12:16
269
+ 9500 | 2 | 0.147327 | 0.044589 | 0.123511 | 0.122640 | -0.000871 | 1.0000 | -0.0195 | 300.00 | 1.00e-06 | 3:31:54 | 0:11:09
270
+ [09:42:36] [TAM @ 9500] mean=-0.0195 std=0.0208 max=0.0029 visits=75990
271
+ 9550 | 2 | 0.004839 | 0.044601 | 0.055402 | 0.009734 | -0.045668 | 1.0000 | -0.0196 | 300.00 | 1.00e-06 | 3:32:59 | 0:10:02
272
+ 9600 | 2 | 0.017534 | 0.044751 | 0.045648 | 0.026731 | -0.018916 | 1.0000 | -0.0197 | 300.00 | 1.00e-06 | 3:34:05 | 0:08:55
273
+ 9650 | 2 | 0.015673 | 0.044856 | 0.129055 | 0.040281 | -0.088774 | 1.0000 | -0.0198 | 300.00 | 1.00e-06 | 3:35:11 | 0:07:48
274
+ 9700 | 2 | 0.012860 | 0.044928 | 0.189001 | 0.052060 | -0.136941 | 1.0000 | -0.0199 | 300.00 | 1.00e-06 | 3:36:17 | 0:06:41
275
+ 9750 | 2 | 0.104870 | 0.045939 | 0.153111 | 0.124195 | -0.028916 | 1.0000 | -0.0200 | 300.00 | 1.00e-06 | 3:37:23 | 0:05:34
276
+ 9800 | 2 | 0.002647 | 0.045937 | 0.178686 | 0.019994 | -0.158692 | 1.0000 | -0.0201 | 300.00 | 1.00e-06 | 3:38:29 | 0:04:27
277
+ 9850 | 2 | 0.007593 | 0.045978 | 0.137289 | 0.035537 | -0.101751 | 1.0000 | -0.0202 | 300.00 | 1.00e-06 | 3:39:35 | 0:03:20
278
+ 9900 | 2 | 0.008986 | 0.045994 | 0.142088 | 0.057649 | -0.084439 | 1.0000 | -0.0203 | 300.00 | 1.00e-06 | 3:40:41 | 0:02:13
279
+ 9950 | 2 | 0.027334 | 0.046218 | 0.179716 | 0.068487 | -0.111228 | 1.0000 | -0.0204 | 300.00 | 1.00e-06 | 3:41:46 | 0:01:06
280
+ 10000 | 2 | 0.007208 | 0.046262 | 0.216738 | 0.044274 | -0.172464 | 1.0000 | -0.0205 | 300.00 | 1.00e-06 | 3:42:52 | 0:00:00
281
+ [09:53:35] [TAM @ 10000] mean=-0.0205 std=0.0211 max=0.0052 visits=79990
282
+ [09:53:41] Saved checkpoint -> RESULTS/flicker8k/run_006/checkpoint-10000
283
+ [09:53:42] Generating 16 validation images ...
284
+ [09:54:00] Validation step 10000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0010000.png
285
+ [09:54:00] --- Epoch 2 | Steps: 2920 | Avg Loss: 0.033576 ---
286
+ [09:54:00] Saving final model ...
287
+ [09:54:15] Pipeline saved -> RESULTS/flicker8k/run_006
288
+ [09:54:15] TAM scores saved -> RESULTS/flicker8k/run_006/tam_final.pt
289
+ [09:54:15] Generating final validation collage ...
290
+ [09:54:15] Generating 16 validation images ...
291
+ [09:54:33] Validation step 10000: 16 images -> RESULTS/flicker8k/run_006/validation/collage_step_0010000.png
292
+ [09:54:33]
293
+ [09:54:33] ============================================================
294
+ [09:54:33] TRAINING SUMMARY
295
+ [09:54:33] ============================================================
296
+ [09:54:33] Total steps : 200
297
+ [09:54:33] Final loss : 0.007208
298
+ [09:54:33] Avg last 100 : 0.046262
299
+ [09:54:33] Min loss : 0.001266
300
+ [09:54:33] Total time : 3:43:50
301
+ [09:54:33] Output : RESULTS/flicker8k/run_006
302
+ [09:54:33] ============================================================
flicker8k/pixart_alpha/run_006/training_args.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "pretrained_model_name_or_path": "PixArt-alpha/PixArt-XL-2-512x512",
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+ "revision": null,
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+ "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": true,
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+ "learning_rate": 1e-06,
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+ "scale_lr": false,
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+ "lr_scheduler": "constant",
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+ "lr_warmup_steps": 500,
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+ "lr_num_cycles": 1,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "adam_weight_decay": 0.01,
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+ "adam_epsilon": 1e-08,
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+ "max_grad_norm": 1.0,
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+ "mixed_precision": "bf16",
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+ "checkpointing_steps": 2000,
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+ "checkpoints_total_limit": 3,
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+ "resume_from_checkpoint": null,
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+ "validation_steps": 1000,
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+ "validation_prompts_file": null,
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+ "log_every_n_steps": 50,
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+ "max_sequence_length": 120,
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+ "dataloader_num_workers": 4,
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+ "advantage_temperature": 0.1,
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+ "curriculum_steps": 5000,
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+ "max_timestep_delta": 300,
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+ "use_tam": true,
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+ "tam_alpha": 0.9,
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+ "tam_factor": 0.5,
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+ "tam_log_steps": 500,
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+ "use_sad": true,
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+ "sad_temperature": 0.5,
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+ "output_dir": "RESULTS/flicker8k/run_006"
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+ }
flicker8k/pixart_alpha/run_006/training_summary.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
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+ "total_steps": 200,
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+ "final_loss": 0.007208242081105709,
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+ "avg_last_100": 0.04626228847191669,
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+ "min_loss": 0.0012656409526243806,
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+ "total_time": "3:43:50"
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+ }
flicker8k/pixart_alpha/run_006/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-XL-2-512x512",
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+ "activation_fn": "gelu-approximate",
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+ "attention_bias": true,
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+ "attention_head_dim": 72,
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+ "attention_type": "default",
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+ "caption_channels": 4096,
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+ "cross_attention_dim": 1152,
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+ "double_self_attention": false,
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+ "dropout": 0.0,
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+ "in_channels": 4,
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+ "interpolation_scale": null,
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+ "norm_elementwise_affine": false,
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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_alpha/run_006/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-XL-2-512x512",
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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",
15
+ "DownEncoderBlock2D",
16
+ "DownEncoderBlock2D"
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+ ],
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+ "force_upcast": true,
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+ "in_channels": 3,
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+ "latent_channels": 4,
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+ "latents_mean": null,
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+ "latents_std": null,
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+ "layers_per_block": 2,
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+ "mid_block_add_attention": true,
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+ "norm_num_groups": 32,
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+ "out_channels": 3,
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+ "sample_size": 256,
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+ "scaling_factor": 0.18215,
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+ "shift_factor": null,
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+ "up_block_types": [
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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+ "UpDecoderBlock2D",
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