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+ [2025-10-29 05:31:14] Experiment directory created at results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-bf16
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+ [2025-10-29 05:31:17] using MLP layer as FFN
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+ [2025-10-29 05:31:33] Model Parameters: 1200.86M
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+ [2025-10-29 05:31:37] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/train)
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+ [2025-10-29 05:31:37] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-29 05:31:37] Precision mode: bf16
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+ [2025-10-29 05:31:37] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-29 05:31:37] Optimizer: ADAMW with lr=0.0002, betas=(0.9, 0.95), weight_decay=0.0, eps=1e-08
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+ Scheduler: linear with warmup_steps=0, decay_end_steps=0, final_lr=0.0002
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+ [2025-10-29 05:31:37] Training for 80 epochs...
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+ [2025-10-29 05:31:37] Beginning epoch 0...
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+ [2025-10-29 05:31:43] Generating EMA samples...
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+ [2025-10-29 05:32:13] Generating EMA samples done.
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+ [2025-10-29 05:33:30] (step=0000100) Train Loss: 1.5895, Train Steps/Sec: 0.88
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+ [2025-10-29 05:34:50] (step=0000200) Train Loss: 0.9935, Train Steps/Sec: 1.26
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+ [2025-10-29 05:36:09] (step=0000300) Train Loss: 0.7975, Train Steps/Sec: 1.26
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+ [2025-10-29 05:37:28] (step=0000400) Train Loss: 0.7243, Train Steps/Sec: 1.26
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+ [2025-10-29 05:38:48] (step=0000500) Train Loss: 0.6775, Train Steps/Sec: 1.26
19
+ [2025-10-29 05:40:07] (step=0000600) Train Loss: 0.6477, Train Steps/Sec: 1.26
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+ [2025-10-29 05:41:26] (step=0000700) Train Loss: 0.6246, Train Steps/Sec: 1.26
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+ [2025-10-29 05:42:45] (step=0000800) Train Loss: 0.6081, Train Steps/Sec: 1.26
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+ [2025-10-29 05:44:04] (step=0000900) Train Loss: 0.5933, Train Steps/Sec: 1.26
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+ [2025-10-29 05:45:24] (step=0001000) Train Loss: 0.5829, Train Steps/Sec: 1.26
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+ [2025-10-29 05:46:43] (step=0001100) Train Loss: 0.5739, Train Steps/Sec: 1.26
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+ [2025-10-29 05:48:02] (step=0001200) Train Loss: 0.5670, Train Steps/Sec: 1.26
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+ [2025-10-29 05:48:43] Beginning epoch 1...
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+ [2025-10-29 05:49:25] (step=0001300) Train Loss: 0.5604, Train Steps/Sec: 1.20
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+ [2025-10-29 05:50:45] (step=0001400) Train Loss: 0.5544, Train Steps/Sec: 1.26
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+ [2025-10-29 05:52:04] (step=0001500) Train Loss: 0.5488, Train Steps/Sec: 1.26
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+ [2025-10-29 05:53:23] (step=0001600) Train Loss: 0.5464, Train Steps/Sec: 1.26
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+ [2025-10-29 05:54:42] (step=0001700) Train Loss: 0.5407, Train Steps/Sec: 1.26
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+ [2025-10-29 05:56:01] (step=0001800) Train Loss: 0.5386, Train Steps/Sec: 1.26
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+ [2025-10-29 05:57:20] (step=0001900) Train Loss: 0.5347, Train Steps/Sec: 1.26
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+ [2025-10-29 05:58:39] (step=0002000) Train Loss: 0.5308, Train Steps/Sec: 1.26
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+ [2025-10-29 05:59:59] (step=0002100) Train Loss: 0.5274, Train Steps/Sec: 1.26
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+ [2025-10-29 06:01:18] (step=0002200) Train Loss: 0.5264, Train Steps/Sec: 1.26
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+ [2025-10-29 06:02:37] (step=0002300) Train Loss: 0.5232, Train Steps/Sec: 1.26
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+ [2025-10-29 06:03:56] (step=0002400) Train Loss: 0.5209, Train Steps/Sec: 1.26
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+ [2025-10-29 06:05:15] (step=0002500) Train Loss: 0.5168, Train Steps/Sec: 1.26
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+ [2025-10-29 06:05:17] Beginning epoch 2...
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+ [2025-10-29 06:06:38] (step=0002600) Train Loss: 0.5143, Train Steps/Sec: 1.21
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+ [2025-10-29 06:07:57] (step=0002700) Train Loss: 0.5147, Train Steps/Sec: 1.26
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+ [2025-10-29 06:09:16] (step=0002800) Train Loss: 0.5120, Train Steps/Sec: 1.26
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+ [2025-10-29 06:10:36] (step=0002900) Train Loss: 0.5113, Train Steps/Sec: 1.26
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+ [2025-10-29 06:11:55] (step=0003000) Train Loss: 0.5092, Train Steps/Sec: 1.26
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+ [2025-10-29 06:13:14] (step=0003100) Train Loss: 0.5075, Train Steps/Sec: 1.26
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+ [2025-10-29 06:14:33] (step=0003200) Train Loss: 0.5061, Train Steps/Sec: 1.26
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+ [2025-10-29 06:15:52] (step=0003300) Train Loss: 0.5052, Train Steps/Sec: 1.26
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+ [2025-10-29 06:17:11] (step=0003400) Train Loss: 0.5035, Train Steps/Sec: 1.26
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+ [2025-10-29 06:18:31] (step=0003500) Train Loss: 0.5019, Train Steps/Sec: 1.26
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+ [2025-10-29 06:19:50] (step=0003600) Train Loss: 0.5008, Train Steps/Sec: 1.26
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+ [2025-10-29 06:21:09] (step=0003700) Train Loss: 0.4988, Train Steps/Sec: 1.26
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+ [2025-10-29 06:21:52] Beginning epoch 3...
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+ [2025-10-29 06:22:31] (step=0003800) Train Loss: 0.4988, Train Steps/Sec: 1.21
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+ [2025-10-29 06:23:51] (step=0003900) Train Loss: 0.4969, Train Steps/Sec: 1.26
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+ [2025-10-29 06:25:10] (step=0004000) Train Loss: 0.4955, Train Steps/Sec: 1.26
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+ [2025-10-29 06:26:29] (step=0004100) Train Loss: 0.4951, Train Steps/Sec: 1.26
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+ [2025-10-29 06:27:48] (step=0004200) Train Loss: 0.4948, Train Steps/Sec: 1.26
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+ [2025-10-29 06:29:08] (step=0004300) Train Loss: 0.4926, Train Steps/Sec: 1.25
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+ [2025-10-29 06:30:27] (step=0004400) Train Loss: 0.4911, Train Steps/Sec: 1.26
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+ [2025-10-29 06:31:46] (step=0004500) Train Loss: 0.4906, Train Steps/Sec: 1.26
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+ [2025-10-29 06:33:05] (step=0004600) Train Loss: 0.4907, Train Steps/Sec: 1.26
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+ [2025-10-29 06:34:24] (step=0004700) Train Loss: 0.4898, Train Steps/Sec: 1.26
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+ [2025-10-29 06:35:44] (step=0004800) Train Loss: 0.4886, Train Steps/Sec: 1.26
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+ [2025-10-29 06:37:03] (step=0004900) Train Loss: 0.4878, Train Steps/Sec: 1.26
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+ [2025-10-29 06:38:22] (step=0005000) Train Loss: 0.4851, Train Steps/Sec: 1.26
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+ [2025-10-29 06:38:26] Beginning epoch 4...
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+ [2025-10-29 06:39:44] (step=0005100) Train Loss: 0.4857, Train Steps/Sec: 1.21
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+ [2025-10-29 06:41:04] (step=0005200) Train Loss: 0.4842, Train Steps/Sec: 1.26
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+ [2025-10-29 06:42:23] (step=0005300) Train Loss: 0.4850, Train Steps/Sec: 1.26
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+ [2025-10-29 06:43:42] (step=0005400) Train Loss: 0.4842, Train Steps/Sec: 1.26
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+ [2025-10-29 06:45:01] (step=0005500) Train Loss: 0.4834, Train Steps/Sec: 1.26
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+ [2025-10-29 06:46:20] (step=0005600) Train Loss: 0.4817, Train Steps/Sec: 1.26
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+ [2025-10-29 06:47:39] (step=0005700) Train Loss: 0.4811, Train Steps/Sec: 1.26
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+ [2025-10-29 06:48:59] (step=0005800) Train Loss: 0.4821, Train Steps/Sec: 1.26
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+ [2025-10-29 06:50:18] (step=0005900) Train Loss: 0.4803, Train Steps/Sec: 1.26
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+ [2025-10-29 06:51:38] (step=0006000) Train Loss: 0.4811, Train Steps/Sec: 1.25
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+ [2025-10-29 06:52:57] (step=0006100) Train Loss: 0.4787, Train Steps/Sec: 1.26
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+ [2025-10-29 06:54:16] (step=0006200) Train Loss: 0.4799, Train Steps/Sec: 1.26
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+ [2025-10-29 06:55:00] Beginning epoch 5...
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+ [2025-10-29 06:55:39] (step=0006300) Train Loss: 0.4775, Train Steps/Sec: 1.20
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+ [2025-10-29 06:56:59] (step=0006400) Train Loss: 0.4766, Train Steps/Sec: 1.26
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+ [2025-10-29 06:58:18] (step=0006500) Train Loss: 0.4776, Train Steps/Sec: 1.26
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+ [2025-10-29 06:59:37] (step=0006600) Train Loss: 0.4766, Train Steps/Sec: 1.26
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+ [2025-10-29 07:00:56] (step=0006700) Train Loss: 0.4763, Train Steps/Sec: 1.26
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+ [2025-10-29 07:02:15] (step=0006800) Train Loss: 0.4755, Train Steps/Sec: 1.26
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+ [2025-10-29 07:03:34] (step=0006900) Train Loss: 0.4753, Train Steps/Sec: 1.26
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+ [2025-10-29 07:04:54] (step=0007000) Train Loss: 0.4743, Train Steps/Sec: 1.26
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+ [2025-10-29 07:06:13] (step=0007100) Train Loss: 0.4738, Train Steps/Sec: 1.26
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+ [2025-10-29 07:07:32] (step=0007200) Train Loss: 0.4726, Train Steps/Sec: 1.26
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+ [2025-10-29 07:08:51] (step=0007300) Train Loss: 0.4748, Train Steps/Sec: 1.26
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+ [2025-10-29 07:10:10] (step=0007400) Train Loss: 0.4725, Train Steps/Sec: 1.26
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+ [2025-10-29 07:11:29] (step=0007500) Train Loss: 0.4723, Train Steps/Sec: 1.26
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+ [2025-10-29 07:11:35] Beginning epoch 6...
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+ [2025-10-29 07:12:52] (step=0007600) Train Loss: 0.4716, Train Steps/Sec: 1.21
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+ [2025-10-29 07:14:12] (step=0007700) Train Loss: 0.4710, Train Steps/Sec: 1.25
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+ [2025-10-29 07:15:31] (step=0007800) Train Loss: 0.4716, Train Steps/Sec: 1.26
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+ [2025-10-29 07:16:51] (step=0007900) Train Loss: 0.4687, Train Steps/Sec: 1.26
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+ [2025-10-29 07:18:10] (step=0008000) Train Loss: 0.4706, Train Steps/Sec: 1.26
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+ [2025-10-29 07:19:29] (step=0008100) Train Loss: 0.4699, Train Steps/Sec: 1.26
101
+ [2025-10-29 07:20:48] (step=0008200) Train Loss: 0.4683, Train Steps/Sec: 1.26
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+ [2025-10-29 07:22:07] (step=0008300) Train Loss: 0.4696, Train Steps/Sec: 1.26
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+ [2025-10-29 07:23:26] (step=0008400) Train Loss: 0.4672, Train Steps/Sec: 1.26
104
+ [2025-10-29 07:24:45] (step=0008500) Train Loss: 0.4678, Train Steps/Sec: 1.26
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+ [2025-10-29 07:26:04] (step=0008600) Train Loss: 0.4674, Train Steps/Sec: 1.26
106
+ [2025-10-29 07:27:24] (step=0008700) Train Loss: 0.4684, Train Steps/Sec: 1.26
107
+ [2025-10-29 07:28:09] Beginning epoch 7...
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+ [2025-10-29 07:28:47] (step=0008800) Train Loss: 0.4659, Train Steps/Sec: 1.20
109
+ [2025-10-29 07:30:06] (step=0008900) Train Loss: 0.4662, Train Steps/Sec: 1.26
110
+ [2025-10-29 07:31:25] (step=0009000) Train Loss: 0.4667, Train Steps/Sec: 1.26
111
+ [2025-10-29 07:32:44] (step=0009100) Train Loss: 0.4643, Train Steps/Sec: 1.26
112
+ [2025-10-29 07:34:03] (step=0009200) Train Loss: 0.4656, Train Steps/Sec: 1.26
113
+ [2025-10-29 07:35:23] (step=0009300) Train Loss: 0.4647, Train Steps/Sec: 1.26
114
+ [2025-10-29 07:36:42] (step=0009400) Train Loss: 0.4650, Train Steps/Sec: 1.26
115
+ [2025-10-29 07:38:02] (step=0009500) Train Loss: 0.4644, Train Steps/Sec: 1.26
116
+ [2025-10-29 07:39:21] (step=0009600) Train Loss: 0.4634, Train Steps/Sec: 1.26
117
+ [2025-10-29 07:40:40] (step=0009700) Train Loss: 0.4632, Train Steps/Sec: 1.26
118
+ [2025-10-29 07:41:59] (step=0009800) Train Loss: 0.4621, Train Steps/Sec: 1.26
119
+ [2025-10-29 07:43:18] (step=0009900) Train Loss: 0.4631, Train Steps/Sec: 1.26
120
+ [2025-10-29 07:44:37] (step=0010000) Train Loss: 0.4642, Train Steps/Sec: 1.26
121
+ [2025-10-29 07:44:44] Beginning epoch 8...
122
+ [2025-10-29 07:46:00] (step=0010100) Train Loss: 0.4627, Train Steps/Sec: 1.21
123
+ [2025-10-29 07:47:19] (step=0010200) Train Loss: 0.4622, Train Steps/Sec: 1.26
124
+ [2025-10-29 07:48:38] (step=0010300) Train Loss: 0.4615, Train Steps/Sec: 1.26
125
+ [2025-10-29 07:49:57] (step=0010400) Train Loss: 0.4611, Train Steps/Sec: 1.26
126
+ [2025-10-29 07:51:17] (step=0010500) Train Loss: 0.4616, Train Steps/Sec: 1.26
127
+ [2025-10-29 07:52:36] (step=0010600) Train Loss: 0.4601, Train Steps/Sec: 1.26
128
+ [2025-10-29 07:53:55] (step=0010700) Train Loss: 0.4613, Train Steps/Sec: 1.26
129
+ [2025-10-29 07:55:14] (step=0010800) Train Loss: 0.4603, Train Steps/Sec: 1.26
130
+ [2025-10-29 07:56:33] (step=0010900) Train Loss: 0.4605, Train Steps/Sec: 1.26
131
+ [2025-10-29 07:57:53] (step=0011000) Train Loss: 0.4583, Train Steps/Sec: 1.26
132
+ [2025-10-29 07:59:12] (step=0011100) Train Loss: 0.4611, Train Steps/Sec: 1.26
133
+ [2025-10-29 08:00:31] (step=0011200) Train Loss: 0.4602, Train Steps/Sec: 1.26
134
+ [2025-10-29 08:01:19] Beginning epoch 9...
135
+ [2025-10-29 08:01:55] (step=0011300) Train Loss: 0.4588, Train Steps/Sec: 1.20
136
+ [2025-10-29 08:03:14] (step=0011400) Train Loss: 0.4581, Train Steps/Sec: 1.26
137
+ [2025-10-29 08:04:33] (step=0011500) Train Loss: 0.4586, Train Steps/Sec: 1.26
138
+ [2025-10-29 08:05:52] (step=0011600) Train Loss: 0.4586, Train Steps/Sec: 1.26
139
+ [2025-10-29 08:07:11] (step=0011700) Train Loss: 0.4578, Train Steps/Sec: 1.26
140
+ [2025-10-29 08:08:30] (step=0011800) Train Loss: 0.4583, Train Steps/Sec: 1.26
141
+ [2025-10-29 08:09:49] (step=0011900) Train Loss: 0.4558, Train Steps/Sec: 1.26
142
+ [2025-10-29 08:11:09] (step=0012000) Train Loss: 0.4580, Train Steps/Sec: 1.26
143
+ [2025-10-29 08:12:28] (step=0012100) Train Loss: 0.4567, Train Steps/Sec: 1.26
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+ [2025-10-29 08:13:47] (step=0012200) Train Loss: 0.4560, Train Steps/Sec: 1.26
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+ [2025-10-29 08:15:06] (step=0012300) Train Loss: 0.4562, Train Steps/Sec: 1.26
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+ [2025-10-29 08:16:25] (step=0012400) Train Loss: 0.4558, Train Steps/Sec: 1.26
147
+ [2025-10-29 08:17:44] (step=0012500) Train Loss: 0.4570, Train Steps/Sec: 1.26
148
+ [2025-10-29 08:17:53] Beginning epoch 10...
149
+ [2025-10-29 08:19:07] (step=0012600) Train Loss: 0.4552, Train Steps/Sec: 1.21
150
+ [2025-10-29 08:20:27] (step=0012700) Train Loss: 0.4554, Train Steps/Sec: 1.25
151
+ [2025-10-29 08:21:46] (step=0012800) Train Loss: 0.4556, Train Steps/Sec: 1.26
152
+ [2025-10-29 08:23:05] (step=0012900) Train Loss: 0.4559, Train Steps/Sec: 1.26
153
+ [2025-10-29 08:24:24] (step=0013000) Train Loss: 0.4543, Train Steps/Sec: 1.26
154
+ [2025-10-29 08:25:44] (step=0013100) Train Loss: 0.4541, Train Steps/Sec: 1.26
155
+ [2025-10-29 08:27:03] (step=0013200) Train Loss: 0.4550, Train Steps/Sec: 1.26
156
+ [2025-10-29 08:28:22] (step=0013300) Train Loss: 0.4546, Train Steps/Sec: 1.26
157
+ [2025-10-29 08:29:41] (step=0013400) Train Loss: 0.4529, Train Steps/Sec: 1.26
158
+ [2025-10-29 08:31:00] (step=0013500) Train Loss: 0.4535, Train Steps/Sec: 1.26
159
+ [2025-10-29 08:32:19] (step=0013600) Train Loss: 0.4546, Train Steps/Sec: 1.26
160
+ [2025-10-29 08:33:38] (step=0013700) Train Loss: 0.4542, Train Steps/Sec: 1.26
161
+ [2025-10-29 08:34:27] Beginning epoch 11...
162
+ [2025-10-29 08:35:02] (step=0013800) Train Loss: 0.4537, Train Steps/Sec: 1.20
163
+ [2025-10-29 08:36:21] (step=0013900) Train Loss: 0.4526, Train Steps/Sec: 1.26
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+ [2025-10-29 08:37:40] (step=0014000) Train Loss: 0.4521, Train Steps/Sec: 1.26
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+ [2025-10-29 08:38:59] (step=0014100) Train Loss: 0.4504, Train Steps/Sec: 1.26
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+ [2025-10-29 08:40:18] (step=0014200) Train Loss: 0.4523, Train Steps/Sec: 1.26
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+ [2025-10-29 08:41:37] (step=0014300) Train Loss: 0.4515, Train Steps/Sec: 1.26
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+ [2025-10-29 08:42:57] (step=0014400) Train Loss: 0.4521, Train Steps/Sec: 1.25
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+ [2025-10-29 08:44:16] (step=0014500) Train Loss: 0.4505, Train Steps/Sec: 1.26
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+ [2025-10-29 08:45:36] (step=0014600) Train Loss: 0.4500, Train Steps/Sec: 1.26
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+ [2025-10-29 08:46:55] (step=0014700) Train Loss: 0.4518, Train Steps/Sec: 1.26
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+ [2025-10-29 08:48:14] (step=0014800) Train Loss: 0.4507, Train Steps/Sec: 1.26
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+ [2025-10-29 08:49:33] (step=0014900) Train Loss: 0.4515, Train Steps/Sec: 1.26
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+ [2025-10-29 08:50:52] (step=0015000) Train Loss: 0.4497, Train Steps/Sec: 1.26
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+ [2025-10-29 08:51:02] Beginning epoch 12...
176
+ [2025-10-29 08:52:15] (step=0015100) Train Loss: 0.4492, Train Steps/Sec: 1.20
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+ [2025-10-29 08:53:34] (step=0015200) Train Loss: 0.4501, Train Steps/Sec: 1.26
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+ [2025-10-29 08:54:53] (step=0015300) Train Loss: 0.4494, Train Steps/Sec: 1.26
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+ [2025-10-29 08:56:13] (step=0015400) Train Loss: 0.4497, Train Steps/Sec: 1.26
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+ [2025-10-29 08:57:32] (step=0015500) Train Loss: 0.4492, Train Steps/Sec: 1.26
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+ [2025-10-29 08:58:51] (step=0015600) Train Loss: 0.4492, Train Steps/Sec: 1.26
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+ [2025-10-29 09:00:10] (step=0015700) Train Loss: 0.4485, Train Steps/Sec: 1.26
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+ [2025-10-29 09:01:29] (step=0015800) Train Loss: 0.4491, Train Steps/Sec: 1.26
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+ [2025-10-29 09:02:48] (step=0015900) Train Loss: 0.4497, Train Steps/Sec: 1.26
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+ [2025-10-29 09:04:08] (step=0016000) Train Loss: 0.4482, Train Steps/Sec: 1.26
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+ [2025-10-29 09:05:27] (step=0016100) Train Loss: 0.4475, Train Steps/Sec: 1.25
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+ [2025-10-29 09:06:46] (step=0016200) Train Loss: 0.4478, Train Steps/Sec: 1.26
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+ [2025-10-29 09:07:37] Beginning epoch 13...
189
+ [2025-10-29 09:08:09] (step=0016300) Train Loss: 0.4484, Train Steps/Sec: 1.21
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+ [2025-10-29 09:09:28] (step=0016400) Train Loss: 0.4474, Train Steps/Sec: 1.26
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+ [2025-10-29 09:10:47] (step=0016500) Train Loss: 0.4452, Train Steps/Sec: 1.26
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+ [2025-10-29 09:12:06] (step=0016600) Train Loss: 0.4471, Train Steps/Sec: 1.26
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+ [2025-10-29 09:13:25] (step=0016700) Train Loss: 0.4474, Train Steps/Sec: 1.26
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+ [2025-10-29 09:14:45] (step=0016800) Train Loss: 0.4473, Train Steps/Sec: 1.26
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+ [2025-10-29 09:16:04] (step=0016900) Train Loss: 0.4464, Train Steps/Sec: 1.26
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+ [2025-10-29 09:17:23] (step=0017000) Train Loss: 0.4460, Train Steps/Sec: 1.26
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+ [2025-10-29 09:18:42] (step=0017100) Train Loss: 0.4464, Train Steps/Sec: 1.26
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+ [2025-10-29 09:20:01] (step=0017200) Train Loss: 0.4460, Train Steps/Sec: 1.26
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+ [2025-10-29 09:21:20] (step=0017300) Train Loss: 0.4459, Train Steps/Sec: 1.26
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+ [2025-10-29 09:22:39] (step=0017400) Train Loss: 0.4460, Train Steps/Sec: 1.26
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+ [2025-10-29 09:23:58] (step=0017500) Train Loss: 0.4464, Train Steps/Sec: 1.26
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+ [2025-10-29 09:24:10] Beginning epoch 14...
203
+ [2025-10-29 09:25:22] (step=0017600) Train Loss: 0.4453, Train Steps/Sec: 1.20
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+ [2025-10-29 09:26:41] (step=0017700) Train Loss: 0.4438, Train Steps/Sec: 1.25
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+ [2025-10-29 09:28:01] (step=0017800) Train Loss: 0.4443, Train Steps/Sec: 1.26
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+ [2025-10-29 09:29:20] (step=0017900) Train Loss: 0.4455, Train Steps/Sec: 1.26
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+ [2025-10-29 09:30:39] (step=0018000) Train Loss: 0.4457, Train Steps/Sec: 1.26
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+ [2025-10-29 09:31:58] (step=0018100) Train Loss: 0.4447, Train Steps/Sec: 1.26
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+ [2025-10-29 09:33:17] (step=0018200) Train Loss: 0.4447, Train Steps/Sec: 1.26
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+ [2025-10-29 09:34:36] (step=0018300) Train Loss: 0.4455, Train Steps/Sec: 1.26
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+ [2025-10-29 09:35:56] (step=0018400) Train Loss: 0.4450, Train Steps/Sec: 1.26
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+ [2025-10-29 09:37:15] (step=0018500) Train Loss: 0.4452, Train Steps/Sec: 1.26
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+ [2025-10-29 09:38:34] (step=0018600) Train Loss: 0.4438, Train Steps/Sec: 1.26
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+ [2025-10-29 09:39:53] (step=0018700) Train Loss: 0.4434, Train Steps/Sec: 1.26
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+ [2025-10-29 09:40:45] Beginning epoch 15...
216
+ [2025-10-29 09:41:16] (step=0018800) Train Loss: 0.4444, Train Steps/Sec: 1.20
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+ [2025-10-29 09:42:35] (step=0018900) Train Loss: 0.4443, Train Steps/Sec: 1.26
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+ [2025-10-29 09:43:54] (step=0019000) Train Loss: 0.4442, Train Steps/Sec: 1.26
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+ [2025-10-29 09:45:14] (step=0019100) Train Loss: 0.4438, Train Steps/Sec: 1.26
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+ [2025-10-29 09:46:33] (step=0019200) Train Loss: 0.4423, Train Steps/Sec: 1.26
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+ [2025-10-29 09:47:52] (step=0019300) Train Loss: 0.4437, Train Steps/Sec: 1.26
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+ [2025-10-29 09:49:12] (step=0019400) Train Loss: 0.4438, Train Steps/Sec: 1.25
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+ [2025-10-29 09:50:31] (step=0019500) Train Loss: 0.4424, Train Steps/Sec: 1.26
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+ [2025-10-29 09:51:50] (step=0019600) Train Loss: 0.4425, Train Steps/Sec: 1.26
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+ [2025-10-29 09:53:09] (step=0019700) Train Loss: 0.4421, Train Steps/Sec: 1.26
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+ [2025-10-29 09:54:28] (step=0019800) Train Loss: 0.4423, Train Steps/Sec: 1.26
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+ [2025-10-29 09:55:48] (step=0019900) Train Loss: 0.4422, Train Steps/Sec: 1.26
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+ [2025-10-29 09:57:07] (step=0020000) Train Loss: 0.4415, Train Steps/Sec: 1.26
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+ [2025-10-29 09:57:20] Beginning epoch 16...
230
+ [2025-10-29 09:58:30] (step=0020100) Train Loss: 0.4423, Train Steps/Sec: 1.21
231
+ [2025-10-29 09:59:49] (step=0020200) Train Loss: 0.4419, Train Steps/Sec: 1.26
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+ [2025-10-29 10:01:08] (step=0020300) Train Loss: 0.4420, Train Steps/Sec: 1.26
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+ [2025-10-29 10:02:27] (step=0020400) Train Loss: 0.4400, Train Steps/Sec: 1.26
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+ [2025-10-29 10:03:46] (step=0020500) Train Loss: 0.4407, Train Steps/Sec: 1.26
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+ [2025-10-29 10:05:05] (step=0020600) Train Loss: 0.4406, Train Steps/Sec: 1.26
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+ [2025-10-29 10:06:24] (step=0020700) Train Loss: 0.4409, Train Steps/Sec: 1.26
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+ [2025-10-29 10:07:44] (step=0020800) Train Loss: 0.4415, Train Steps/Sec: 1.26
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+ [2025-10-29 10:09:03] (step=0020900) Train Loss: 0.4415, Train Steps/Sec: 1.26
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+ [2025-10-29 10:10:22] (step=0021000) Train Loss: 0.4389, Train Steps/Sec: 1.26
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+ [2025-10-29 10:11:42] (step=0021100) Train Loss: 0.4412, Train Steps/Sec: 1.25
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+ [2025-10-29 10:13:01] (step=0021200) Train Loss: 0.4410, Train Steps/Sec: 1.26
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+ [2025-10-29 10:13:55] Beginning epoch 17...
243
+ [2025-10-29 10:14:24] (step=0021300) Train Loss: 0.4393, Train Steps/Sec: 1.21
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+ [2025-10-29 10:15:43] (step=0021400) Train Loss: 0.4397, Train Steps/Sec: 1.26
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+ [2025-10-29 10:17:02] (step=0021500) Train Loss: 0.4384, Train Steps/Sec: 1.26
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+ [2025-10-29 10:18:21] (step=0021600) Train Loss: 0.4400, Train Steps/Sec: 1.26
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+ [2025-10-29 10:19:40] (step=0021700) Train Loss: 0.4402, Train Steps/Sec: 1.26
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+ [2025-10-29 10:20:59] (step=0021800) Train Loss: 0.4413, Train Steps/Sec: 1.26
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+ [2025-10-29 10:22:19] (step=0021900) Train Loss: 0.4383, Train Steps/Sec: 1.26
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+ [2025-10-29 10:23:38] (step=0022000) Train Loss: 0.4396, Train Steps/Sec: 1.26
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+ [2025-10-29 10:24:57] (step=0022100) Train Loss: 0.4398, Train Steps/Sec: 1.26
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+ [2025-10-29 10:26:16] (step=0022200) Train Loss: 0.4385, Train Steps/Sec: 1.26
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+ [2025-10-29 10:27:35] (step=0022300) Train Loss: 0.4408, Train Steps/Sec: 1.26
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+ [2025-10-29 10:28:54] (step=0022400) Train Loss: 0.4395, Train Steps/Sec: 1.26
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+ [2025-10-29 10:30:13] (step=0022500) Train Loss: 0.4391, Train Steps/Sec: 1.26
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+ [2025-10-29 10:30:28] Beginning epoch 18...
257
+ [2025-10-29 10:31:36] (step=0022600) Train Loss: 0.4387, Train Steps/Sec: 1.20
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+ [2025-10-29 10:32:56] (step=0022700) Train Loss: 0.4388, Train Steps/Sec: 1.26
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+ [2025-10-29 10:34:16] (step=0022800) Train Loss: 0.4381, Train Steps/Sec: 1.26
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+ [2025-10-29 10:35:35] (step=0022900) Train Loss: 0.4371, Train Steps/Sec: 1.26
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+ [2025-10-29 10:36:54] (step=0023000) Train Loss: 0.4386, Train Steps/Sec: 1.26
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+ [2025-10-29 10:38:13] (step=0023100) Train Loss: 0.4378, Train Steps/Sec: 1.26
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+ [2025-10-29 10:39:32] (step=0023200) Train Loss: 0.4365, Train Steps/Sec: 1.26
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+ [2025-10-29 10:40:51] (step=0023300) Train Loss: 0.4372, Train Steps/Sec: 1.26
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+ [2025-10-29 10:42:10] (step=0023400) Train Loss: 0.4380, Train Steps/Sec: 1.26
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+ [2025-10-29 10:43:30] (step=0023500) Train Loss: 0.4391, Train Steps/Sec: 1.26
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+ [2025-10-29 10:44:49] (step=0023600) Train Loss: 0.4381, Train Steps/Sec: 1.26
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+ [2025-10-29 10:46:08] (step=0023700) Train Loss: 0.4381, Train Steps/Sec: 1.26
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+ [2025-10-29 10:47:03] Beginning epoch 19...
270
+ [2025-10-29 10:47:31] (step=0023800) Train Loss: 0.4380, Train Steps/Sec: 1.20
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+ [2025-10-29 10:48:50] (step=0023900) Train Loss: 0.4373, Train Steps/Sec: 1.26
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+ [2025-10-29 10:50:09] (step=0024000) Train Loss: 0.4380, Train Steps/Sec: 1.26
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+ [2025-10-29 10:51:28] (step=0024100) Train Loss: 0.4365, Train Steps/Sec: 1.26
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+ [2025-10-29 10:52:47] (step=0024200) Train Loss: 0.4363, Train Steps/Sec: 1.26
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+ [2025-10-29 10:54:06] (step=0024300) Train Loss: 0.4367, Train Steps/Sec: 1.26
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+ [2025-10-29 10:55:26] (step=0024400) Train Loss: 0.4372, Train Steps/Sec: 1.25
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+ [2025-10-29 10:56:46] (step=0024500) Train Loss: 0.4363, Train Steps/Sec: 1.26
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+ [2025-10-29 10:58:05] (step=0024600) Train Loss: 0.4362, Train Steps/Sec: 1.26
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+ [2025-10-29 10:59:24] (step=0024700) Train Loss: 0.4370, Train Steps/Sec: 1.26
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+ [2025-10-29 11:00:43] (step=0024800) Train Loss: 0.4365, Train Steps/Sec: 1.26
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+ [2025-10-29 11:02:02] (step=0024900) Train Loss: 0.4356, Train Steps/Sec: 1.26
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+ [2025-10-29 11:03:21] (step=0025000) Train Loss: 0.4360, Train Steps/Sec: 1.26
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+ [2025-10-29 11:04:13] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-bf16/checkpoints/0025000.pt
284
+ [2025-10-29 11:04:13] Generating EMA samples...
285
+ [2025-10-29 11:04:42] Generating EMA samples done.
286
+ [2025-10-29 11:04:58] Beginning epoch 20...
287
+ [2025-10-29 11:06:04] (step=0025100) Train Loss: 0.4362, Train Steps/Sec: 0.62
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+ [2025-10-29 11:07:23] (step=0025200) Train Loss: 0.4339, Train Steps/Sec: 1.26
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+ [2025-10-29 11:08:42] (step=0025300) Train Loss: 0.4358, Train Steps/Sec: 1.26
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+ [2025-10-29 11:10:01] (step=0025400) Train Loss: 0.4364, Train Steps/Sec: 1.26
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+ [2025-10-29 11:11:20] (step=0025500) Train Loss: 0.4348, Train Steps/Sec: 1.26
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+ [2025-10-29 11:12:39] (step=0025600) Train Loss: 0.4346, Train Steps/Sec: 1.26
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+ [2025-10-29 11:13:58] (step=0025700) Train Loss: 0.4351, Train Steps/Sec: 1.26
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+ [2025-10-29 11:15:17] (step=0025800) Train Loss: 0.4364, Train Steps/Sec: 1.26
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+ [2025-10-29 11:16:37] (step=0025900) Train Loss: 0.4360, Train Steps/Sec: 1.26
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+ [2025-10-29 11:17:56] (step=0026000) Train Loss: 0.4361, Train Steps/Sec: 1.26
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+ [2025-10-29 11:19:16] (step=0026100) Train Loss: 0.4363, Train Steps/Sec: 1.25
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+ [2025-10-29 11:20:35] (step=0026200) Train Loss: 0.4359, Train Steps/Sec: 1.26
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+ [2025-10-29 11:21:32] Beginning epoch 21...
300
+ [2025-10-29 11:21:57] (step=0026300) Train Loss: 0.4344, Train Steps/Sec: 1.22
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+ [2025-10-29 11:23:16] (step=0026400) Train Loss: 0.4343, Train Steps/Sec: 1.26
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+ [2025-10-29 11:24:35] (step=0026500) Train Loss: 0.4331, Train Steps/Sec: 1.26
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+ [2025-10-29 11:25:54] (step=0026600) Train Loss: 0.4343, Train Steps/Sec: 1.26
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+ [2025-10-29 11:27:13] (step=0026700) Train Loss: 0.4357, Train Steps/Sec: 1.26
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+ [2025-10-29 11:28:32] (step=0026800) Train Loss: 0.4341, Train Steps/Sec: 1.26
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+ [2025-10-29 11:29:51] (step=0026900) Train Loss: 0.4342, Train Steps/Sec: 1.26
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+ [2025-10-29 11:31:11] (step=0027000) Train Loss: 0.4345, Train Steps/Sec: 1.26
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+ [2025-10-29 11:32:30] (step=0027100) Train Loss: 0.4346, Train Steps/Sec: 1.26
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+ [2025-10-29 11:33:49] (step=0027200) Train Loss: 0.4341, Train Steps/Sec: 1.26
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+ [2025-10-29 11:35:08] (step=0027300) Train Loss: 0.4341, Train Steps/Sec: 1.26
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+ [2025-10-29 11:36:27] (step=0027400) Train Loss: 0.4338, Train Steps/Sec: 1.26
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+ [2025-10-29 11:37:46] (step=0027500) Train Loss: 0.4334, Train Steps/Sec: 1.26
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+ [2025-10-29 11:38:04] Beginning epoch 22...
314
+ [2025-10-29 11:39:08] (step=0027600) Train Loss: 0.4330, Train Steps/Sec: 1.22
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+ [2025-10-29 11:40:28] (step=0027700) Train Loss: 0.4328, Train Steps/Sec: 1.26
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+ [2025-10-29 11:41:47] (step=0027800) Train Loss: 0.4345, Train Steps/Sec: 1.26
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+ [2025-10-29 11:43:07] (step=0027900) Train Loss: 0.4330, Train Steps/Sec: 1.26
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+ [2025-10-29 11:44:26] (step=0028000) Train Loss: 0.4324, Train Steps/Sec: 1.26
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+ [2025-10-29 11:45:45] (step=0028100) Train Loss: 0.4351, Train Steps/Sec: 1.26
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+ [2025-10-29 11:47:04] (step=0028200) Train Loss: 0.4331, Train Steps/Sec: 1.26
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+ [2025-10-29 11:48:23] (step=0028300) Train Loss: 0.4334, Train Steps/Sec: 1.26
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+ [2025-10-29 11:49:42] (step=0028400) Train Loss: 0.4332, Train Steps/Sec: 1.26
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+ [2025-10-29 11:51:01] (step=0028500) Train Loss: 0.4337, Train Steps/Sec: 1.26
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+ [2025-10-29 11:52:20] (step=0028600) Train Loss: 0.4315, Train Steps/Sec: 1.26
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+ [2025-10-29 11:53:40] (step=0028700) Train Loss: 0.4322, Train Steps/Sec: 1.26
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+ [2025-10-29 11:54:38] Beginning epoch 23...
327
+ [2025-10-29 11:55:02] (step=0028800) Train Loss: 0.4330, Train Steps/Sec: 1.22
328
+ [2025-10-29 11:56:21] (step=0028900) Train Loss: 0.4314, Train Steps/Sec: 1.26
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+ [2025-10-29 11:57:40] (step=0029000) Train Loss: 0.4325, Train Steps/Sec: 1.26
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+ [2025-10-29 11:58:59] (step=0029100) Train Loss: 0.4310, Train Steps/Sec: 1.26
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+ [2025-10-29 12:00:18] (step=0029200) Train Loss: 0.4324, Train Steps/Sec: 1.26
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+ [2025-10-29 12:01:37] (step=0029300) Train Loss: 0.4319, Train Steps/Sec: 1.26
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+ [2025-10-29 12:02:57] (step=0029400) Train Loss: 0.4318, Train Steps/Sec: 1.26
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+ [2025-10-29 12:04:16] (step=0029500) Train Loss: 0.4329, Train Steps/Sec: 1.26
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+ [2025-10-29 12:05:35] (step=0029600) Train Loss: 0.4317, Train Steps/Sec: 1.26
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+ [2025-10-29 12:06:55] (step=0029700) Train Loss: 0.4320, Train Steps/Sec: 1.26
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+ [2025-10-29 12:08:14] (step=0029800) Train Loss: 0.4315, Train Steps/Sec: 1.26
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+ [2025-10-29 12:09:33] (step=0029900) Train Loss: 0.4310, Train Steps/Sec: 1.26
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+ [2025-10-29 12:10:52] (step=0030000) Train Loss: 0.4320, Train Steps/Sec: 1.26
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+ [2025-10-29 12:11:11] Beginning epoch 24...
341
+ [2025-10-29 12:12:14] (step=0030100) Train Loss: 0.4315, Train Steps/Sec: 1.22
342
+ [2025-10-29 12:13:33] (step=0030200) Train Loss: 0.4310, Train Steps/Sec: 1.26
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+ [2025-10-29 12:14:52] (step=0030300) Train Loss: 0.4318, Train Steps/Sec: 1.26
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+ [2025-10-29 12:16:11] (step=0030400) Train Loss: 0.4307, Train Steps/Sec: 1.26
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+ [2025-10-29 12:17:31] (step=0030500) Train Loss: 0.4302, Train Steps/Sec: 1.26
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+ [2025-10-29 12:18:50] (step=0030600) Train Loss: 0.4314, Train Steps/Sec: 1.26
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+ [2025-10-29 12:20:09] (step=0030700) Train Loss: 0.4310, Train Steps/Sec: 1.26
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+ [2025-10-29 12:21:28] (step=0030800) Train Loss: 0.4303, Train Steps/Sec: 1.26
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+ [2025-10-29 12:22:47] (step=0030900) Train Loss: 0.4310, Train Steps/Sec: 1.26
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+ [2025-10-29 12:24:07] (step=0031000) Train Loss: 0.4302, Train Steps/Sec: 1.26
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+ [2025-10-29 12:25:26] (step=0031100) Train Loss: 0.4313, Train Steps/Sec: 1.26
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+ [2025-10-29 12:26:46] (step=0031200) Train Loss: 0.4322, Train Steps/Sec: 1.26
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+ [2025-10-29 12:27:45] Beginning epoch 25...
354
+ [2025-10-29 12:28:08] (step=0031300) Train Loss: 0.4304, Train Steps/Sec: 1.22
355
+ [2025-10-29 12:29:27] (step=0031400) Train Loss: 0.4309, Train Steps/Sec: 1.26
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+ [2025-10-29 12:30:46] (step=0031500) Train Loss: 0.4286, Train Steps/Sec: 1.26
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+ [2025-10-29 12:32:05] (step=0031600) Train Loss: 0.4311, Train Steps/Sec: 1.26
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+ [2025-10-29 12:33:24] (step=0031700) Train Loss: 0.4299, Train Steps/Sec: 1.26
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+ [2025-10-29 12:34:43] (step=0031800) Train Loss: 0.4305, Train Steps/Sec: 1.26
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+ [2025-10-29 12:36:02] (step=0031900) Train Loss: 0.4295, Train Steps/Sec: 1.26
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+ [2025-10-29 12:37:22] (step=0032000) Train Loss: 0.4291, Train Steps/Sec: 1.26
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+ [2025-10-29 12:38:41] (step=0032100) Train Loss: 0.4298, Train Steps/Sec: 1.26
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+ [2025-10-29 12:40:00] (step=0032200) Train Loss: 0.4302, Train Steps/Sec: 1.26
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+ [2025-10-29 12:41:19] (step=0032300) Train Loss: 0.4285, Train Steps/Sec: 1.26
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+ [2025-10-29 12:43:57] (step=0032500) Train Loss: 0.4294, Train Steps/Sec: 1.26
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+ [2025-10-29 12:44:18] Beginning epoch 26...
368
+ [2025-10-29 12:45:19] (step=0032600) Train Loss: 0.4308, Train Steps/Sec: 1.22
369
+ [2025-10-29 12:46:38] (step=0032700) Train Loss: 0.4304, Train Steps/Sec: 1.26
370
+ [2025-10-29 12:47:58] (step=0032800) Train Loss: 0.4293, Train Steps/Sec: 1.25
371
+ [2025-10-29 12:49:17] (step=0032900) Train Loss: 0.4289, Train Steps/Sec: 1.26
372
+ [2025-10-29 12:50:36] (step=0033000) Train Loss: 0.4279, Train Steps/Sec: 1.26
373
+ [2025-10-29 12:51:55] (step=0033100) Train Loss: 0.4295, Train Steps/Sec: 1.26
374
+ [2025-10-29 12:53:15] (step=0033200) Train Loss: 0.4286, Train Steps/Sec: 1.26
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+ [2025-10-29 12:54:34] (step=0033300) Train Loss: 0.4319, Train Steps/Sec: 1.26
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+ [2025-10-29 12:55:53] (step=0033400) Train Loss: 0.4283, Train Steps/Sec: 1.26
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+ [2025-10-29 12:57:12] (step=0033500) Train Loss: 0.4290, Train Steps/Sec: 1.26
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+ [2025-10-29 12:58:31] (step=0033600) Train Loss: 0.4295, Train Steps/Sec: 1.26
379
+ [2025-10-29 12:59:50] (step=0033700) Train Loss: 0.4288, Train Steps/Sec: 1.26
380
+ [2025-10-29 13:00:52] Beginning epoch 27...
381
+ [2025-10-29 13:01:13] (step=0033800) Train Loss: 0.4280, Train Steps/Sec: 1.21
382
+ [2025-10-29 13:02:32] (step=0033900) Train Loss: 0.4277, Train Steps/Sec: 1.26
383
+ [2025-10-29 13:03:51] (step=0034000) Train Loss: 0.4282, Train Steps/Sec: 1.26
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+ [2025-10-29 13:05:10] (step=0034100) Train Loss: 0.4284, Train Steps/Sec: 1.26
385
+ [2025-10-29 13:06:29] (step=0034200) Train Loss: 0.4278, Train Steps/Sec: 1.26
386
+ [2025-10-29 13:07:48] (step=0034300) Train Loss: 0.4283, Train Steps/Sec: 1.26
387
+ [2025-10-29 13:09:08] (step=0034400) Train Loss: 0.4276, Train Steps/Sec: 1.26
388
+ [2025-10-29 13:10:27] (step=0034500) Train Loss: 0.4273, Train Steps/Sec: 1.25
389
+ [2025-10-29 13:11:46] (step=0034600) Train Loss: 0.4265, Train Steps/Sec: 1.26
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+ [2025-10-29 13:13:06] (step=0034700) Train Loss: 0.4274, Train Steps/Sec: 1.26
391
+ [2025-10-29 13:14:25] (step=0034800) Train Loss: 0.4282, Train Steps/Sec: 1.26
392
+ [2025-10-29 13:15:44] (step=0034900) Train Loss: 0.4273, Train Steps/Sec: 1.26
393
+ [2025-10-29 13:17:03] (step=0035000) Train Loss: 0.4264, Train Steps/Sec: 1.26
394
+ [2025-10-29 13:17:26] Beginning epoch 28...
395
+ [2025-10-29 13:18:25] (step=0035100) Train Loss: 0.4272, Train Steps/Sec: 1.22
396
+ [2025-10-29 13:19:44] (step=0035200) Train Loss: 0.4287, Train Steps/Sec: 1.26
397
+ [2025-10-29 13:21:03] (step=0035300) Train Loss: 0.4287, Train Steps/Sec: 1.26
398
+ [2025-10-29 13:22:22] (step=0035400) Train Loss: 0.4286, Train Steps/Sec: 1.26
399
+ [2025-10-29 13:23:41] (step=0035500) Train Loss: 0.4274, Train Steps/Sec: 1.26
400
+ [2025-10-29 13:25:00] (step=0035600) Train Loss: 0.4258, Train Steps/Sec: 1.26
401
+ [2025-10-29 13:26:19] (step=0035700) Train Loss: 0.4278, Train Steps/Sec: 1.26
402
+ [2025-10-29 13:27:39] (step=0035800) Train Loss: 0.4269, Train Steps/Sec: 1.26
403
+ [2025-10-29 13:28:58] (step=0035900) Train Loss: 0.4284, Train Steps/Sec: 1.26
404
+ [2025-10-29 13:30:17] (step=0036000) Train Loss: 0.4280, Train Steps/Sec: 1.26
405
+ [2025-10-29 13:31:37] (step=0036100) Train Loss: 0.4269, Train Steps/Sec: 1.25
406
+ [2025-10-29 13:32:56] (step=0036200) Train Loss: 0.4271, Train Steps/Sec: 1.26
407
+ [2025-10-29 13:33:59] Beginning epoch 29...
408
+ [2025-10-29 13:34:18] (step=0036300) Train Loss: 0.4268, Train Steps/Sec: 1.22
409
+ [2025-10-29 13:35:37] (step=0036400) Train Loss: 0.4262, Train Steps/Sec: 1.26
410
+ [2025-10-29 13:36:57] (step=0036500) Train Loss: 0.4265, Train Steps/Sec: 1.26
411
+ [2025-10-29 13:38:16] (step=0036600) Train Loss: 0.4260, Train Steps/Sec: 1.26
412
+ [2025-10-29 13:39:35] (step=0036700) Train Loss: 0.4266, Train Steps/Sec: 1.26
413
+ [2025-10-29 13:40:54] (step=0036800) Train Loss: 0.4262, Train Steps/Sec: 1.26
414
+ [2025-10-29 13:42:13] (step=0036900) Train Loss: 0.4263, Train Steps/Sec: 1.26
415
+ [2025-10-29 13:43:32] (step=0037000) Train Loss: 0.4275, Train Steps/Sec: 1.26
416
+ [2025-10-29 13:44:51] (step=0037100) Train Loss: 0.4280, Train Steps/Sec: 1.26
417
+ [2025-10-29 13:46:10] (step=0037200) Train Loss: 0.4264, Train Steps/Sec: 1.26
418
+ [2025-10-29 13:47:29] (step=0037300) Train Loss: 0.4261, Train Steps/Sec: 1.26
419
+ [2025-10-29 13:48:49] (step=0037400) Train Loss: 0.4264, Train Steps/Sec: 1.26
420
+ [2025-10-29 13:50:08] (step=0037500) Train Loss: 0.4264, Train Steps/Sec: 1.26
421
+ [2025-10-29 13:50:32] Beginning epoch 30...
422
+ [2025-10-29 13:51:30] (step=0037600) Train Loss: 0.4250, Train Steps/Sec: 1.21
423
+ [2025-10-29 13:52:49] (step=0037700) Train Loss: 0.4259, Train Steps/Sec: 1.26
424
+ [2025-10-29 13:54:09] (step=0037800) Train Loss: 0.4249, Train Steps/Sec: 1.25
425
+ [2025-10-29 13:55:28] (step=0037900) Train Loss: 0.4251, Train Steps/Sec: 1.26
426
+ [2025-10-29 13:56:47] (step=0038000) Train Loss: 0.4265, Train Steps/Sec: 1.26
427
+ [2025-10-29 13:58:07] (step=0038100) Train Loss: 0.4265, Train Steps/Sec: 1.26
428
+ [2025-10-29 13:59:26] (step=0038200) Train Loss: 0.4263, Train Steps/Sec: 1.26
429
+ [2025-10-29 14:00:45] (step=0038300) Train Loss: 0.4259, Train Steps/Sec: 1.26
430
+ [2025-10-29 14:02:04] (step=0038400) Train Loss: 0.4258, Train Steps/Sec: 1.26
431
+ [2025-10-29 14:03:23] (step=0038500) Train Loss: 0.4253, Train Steps/Sec: 1.26
432
+ [2025-10-29 14:04:42] (step=0038600) Train Loss: 0.4246, Train Steps/Sec: 1.26
433
+ [2025-10-29 14:06:01] (step=0038700) Train Loss: 0.4257, Train Steps/Sec: 1.26
434
+ [2025-10-29 14:07:06] Beginning epoch 31...
435
+ [2025-10-29 14:07:24] (step=0038800) Train Loss: 0.4244, Train Steps/Sec: 1.21
436
+ [2025-10-29 14:08:43] (step=0038900) Train Loss: 0.4257, Train Steps/Sec: 1.26
437
+ [2025-10-29 14:10:02] (step=0039000) Train Loss: 0.4261, Train Steps/Sec: 1.26
438
+ [2025-10-29 14:11:21] (step=0039100) Train Loss: 0.4248, Train Steps/Sec: 1.26
439
+ [2025-10-29 14:12:40] (step=0039200) Train Loss: 0.4256, Train Steps/Sec: 1.26
440
+ [2025-10-29 14:13:59] (step=0039300) Train Loss: 0.4249, Train Steps/Sec: 1.26
441
+ [2025-10-29 14:15:19] (step=0039400) Train Loss: 0.4239, Train Steps/Sec: 1.26
442
+ [2025-10-29 14:16:38] (step=0039500) Train Loss: 0.4247, Train Steps/Sec: 1.25
443
+ [2025-10-29 14:17:57] (step=0039600) Train Loss: 0.4255, Train Steps/Sec: 1.26
444
+ [2025-10-29 14:19:17] (step=0039700) Train Loss: 0.4253, Train Steps/Sec: 1.26
445
+ [2025-10-29 14:20:36] (step=0039800) Train Loss: 0.4242, Train Steps/Sec: 1.26
446
+ [2025-10-29 14:21:55] (step=0039900) Train Loss: 0.4254, Train Steps/Sec: 1.26
447
+ [2025-10-29 14:23:14] (step=0040000) Train Loss: 0.4237, Train Steps/Sec: 1.26
448
+ [2025-10-29 14:23:40] Beginning epoch 32...
449
+ [2025-10-29 14:24:36] (step=0040100) Train Loss: 0.4232, Train Steps/Sec: 1.22
450
+ [2025-10-29 14:25:55] (step=0040200) Train Loss: 0.4237, Train Steps/Sec: 1.26
451
+ [2025-10-29 14:27:14] (step=0040300) Train Loss: 0.4226, Train Steps/Sec: 1.26
452
+ [2025-10-29 14:28:34] (step=0040400) Train Loss: 0.4239, Train Steps/Sec: 1.26
453
+ [2025-10-29 14:29:53] (step=0040500) Train Loss: 0.4241, Train Steps/Sec: 1.26
454
+ [2025-10-29 14:31:12] (step=0040600) Train Loss: 0.4241, Train Steps/Sec: 1.26
455
+ [2025-10-29 14:32:31] (step=0040700) Train Loss: 0.4247, Train Steps/Sec: 1.26
456
+ [2025-10-29 14:33:50] (step=0040800) Train Loss: 0.4230, Train Steps/Sec: 1.26
457
+ [2025-10-29 14:35:09] (step=0040900) Train Loss: 0.4239, Train Steps/Sec: 1.26
458
+ [2025-10-29 14:36:28] (step=0041000) Train Loss: 0.4240, Train Steps/Sec: 1.26
459
+ [2025-10-29 14:37:48] (step=0041100) Train Loss: 0.4232, Train Steps/Sec: 1.26
460
+ [2025-10-29 14:39:08] (step=0041200) Train Loss: 0.4247, Train Steps/Sec: 1.25
461
+ [2025-10-29 14:40:14] Beginning epoch 33...
462
+ [2025-10-29 14:40:30] (step=0041300) Train Loss: 0.4234, Train Steps/Sec: 1.22
463
+ [2025-10-29 14:41:49] (step=0041400) Train Loss: 0.4231, Train Steps/Sec: 1.26
464
+ [2025-10-29 14:43:08] (step=0041500) Train Loss: 0.4245, Train Steps/Sec: 1.26
465
+ [2025-10-29 14:44:28] (step=0041600) Train Loss: 0.4224, Train Steps/Sec: 1.26
466
+ [2025-10-29 14:45:47] (step=0041700) Train Loss: 0.4241, Train Steps/Sec: 1.26
467
+ [2025-10-29 14:47:06] (step=0041800) Train Loss: 0.4241, Train Steps/Sec: 1.26
468
+ [2025-10-29 14:48:25] (step=0041900) Train Loss: 0.4231, Train Steps/Sec: 1.26
469
+ [2025-10-29 14:49:44] (step=0042000) Train Loss: 0.4227, Train Steps/Sec: 1.26
470
+ [2025-10-29 14:51:03] (step=0042100) Train Loss: 0.4236, Train Steps/Sec: 1.26
471
+ [2025-10-29 14:52:22] (step=0042200) Train Loss: 0.4236, Train Steps/Sec: 1.26
472
+ [2025-10-29 14:53:41] (step=0042300) Train Loss: 0.4235, Train Steps/Sec: 1.26
473
+ [2025-10-29 14:55:01] (step=0042400) Train Loss: 0.4232, Train Steps/Sec: 1.26
474
+ [2025-10-29 14:56:20] (step=0042500) Train Loss: 0.4241, Train Steps/Sec: 1.26
475
+ [2025-10-29 14:56:47] Beginning epoch 34...
476
+ [2025-10-29 14:57:42] (step=0042600) Train Loss: 0.4233, Train Steps/Sec: 1.22
477
+ [2025-10-29 14:59:01] (step=0042700) Train Loss: 0.4220, Train Steps/Sec: 1.26
478
+ [2025-10-29 15:00:21] (step=0042800) Train Loss: 0.4225, Train Steps/Sec: 1.26
479
+ [2025-10-29 15:01:40] (step=0042900) Train Loss: 0.4233, Train Steps/Sec: 1.26
480
+ [2025-10-29 15:02:59] (step=0043000) Train Loss: 0.4223, Train Steps/Sec: 1.26
481
+ [2025-10-29 15:04:18] (step=0043100) Train Loss: 0.4225, Train Steps/Sec: 1.26
482
+ [2025-10-29 15:05:38] (step=0043200) Train Loss: 0.4225, Train Steps/Sec: 1.26
483
+ [2025-10-29 15:06:57] (step=0043300) Train Loss: 0.4230, Train Steps/Sec: 1.26
484
+ [2025-10-29 15:08:16] (step=0043400) Train Loss: 0.4230, Train Steps/Sec: 1.26
485
+ [2025-10-29 15:09:35] (step=0043500) Train Loss: 0.4236, Train Steps/Sec: 1.26
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+ [2025-10-29 15:10:54] (step=0043600) Train Loss: 0.4225, Train Steps/Sec: 1.26
487
+ [2025-10-29 15:12:13] (step=0043700) Train Loss: 0.4218, Train Steps/Sec: 1.26
488
+ [2025-10-29 15:13:21] Beginning epoch 35...
489
+ [2025-10-29 15:13:36] (step=0043800) Train Loss: 0.4224, Train Steps/Sec: 1.21
490
+ [2025-10-29 15:14:55] (step=0043900) Train Loss: 0.4213, Train Steps/Sec: 1.26
491
+ [2025-10-29 15:16:14] (step=0044000) Train Loss: 0.4225, Train Steps/Sec: 1.26
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+ [2025-10-29 15:17:33] (step=0044100) Train Loss: 0.4219, Train Steps/Sec: 1.26
493
+ [2025-10-29 15:18:52] (step=0044200) Train Loss: 0.4232, Train Steps/Sec: 1.26
494
+ [2025-10-29 15:20:11] (step=0044300) Train Loss: 0.4217, Train Steps/Sec: 1.26
495
+ [2025-10-29 15:21:31] (step=0044400) Train Loss: 0.4218, Train Steps/Sec: 1.26
496
+ [2025-10-29 15:22:50] (step=0044500) Train Loss: 0.4227, Train Steps/Sec: 1.26
497
+ [2025-10-29 15:24:10] (step=0044600) Train Loss: 0.4204, Train Steps/Sec: 1.26
498
+ [2025-10-29 15:25:29] (step=0044700) Train Loss: 0.4226, Train Steps/Sec: 1.26
499
+ [2025-10-29 15:26:48] (step=0044800) Train Loss: 0.4243, Train Steps/Sec: 1.26
500
+ [2025-10-29 15:28:07] (step=0044900) Train Loss: 0.4221, Train Steps/Sec: 1.26
501
+ [2025-10-29 15:29:26] (step=0045000) Train Loss: 0.4236, Train Steps/Sec: 1.26
502
+ [2025-10-29 15:29:55] Beginning epoch 36...
503
+ [2025-10-29 15:30:48] (step=0045100) Train Loss: 0.4222, Train Steps/Sec: 1.22
504
+ [2025-10-29 15:32:07] (step=0045200) Train Loss: 0.4206, Train Steps/Sec: 1.26
505
+ [2025-10-29 15:33:26] (step=0045300) Train Loss: 0.4211, Train Steps/Sec: 1.26
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+ [2025-10-29 15:34:46] (step=0045400) Train Loss: 0.4218, Train Steps/Sec: 1.26
507
+ [2025-10-29 15:36:05] (step=0045500) Train Loss: 0.4219, Train Steps/Sec: 1.26
508
+ [2025-10-29 15:37:24] (step=0045600) Train Loss: 0.4211, Train Steps/Sec: 1.26
509
+ [2025-10-29 15:38:43] (step=0045700) Train Loss: 0.4226, Train Steps/Sec: 1.26
510
+ [2025-10-29 15:40:02] (step=0045800) Train Loss: 0.4216, Train Steps/Sec: 1.26
511
+ [2025-10-29 15:41:21] (step=0045900) Train Loss: 0.4209, Train Steps/Sec: 1.26
512
+ [2025-10-29 15:42:40] (step=0046000) Train Loss: 0.4208, Train Steps/Sec: 1.26
513
+ [2025-10-29 15:44:00] (step=0046100) Train Loss: 0.4217, Train Steps/Sec: 1.26
514
+ [2025-10-29 15:45:20] (step=0046200) Train Loss: 0.4210, Train Steps/Sec: 1.26
515
+ [2025-10-29 15:46:29] Beginning epoch 37...
516
+ [2025-10-29 15:46:42] (step=0046300) Train Loss: 0.4213, Train Steps/Sec: 1.22
517
+ [2025-10-29 15:48:01] (step=0046400) Train Loss: 0.4212, Train Steps/Sec: 1.26
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+ [2025-10-29 15:49:20] (step=0046500) Train Loss: 0.4203, Train Steps/Sec: 1.26
519
+ [2025-10-29 15:50:39] (step=0046600) Train Loss: 0.4206, Train Steps/Sec: 1.26
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+ [2025-10-29 15:51:58] (step=0046700) Train Loss: 0.4206, Train Steps/Sec: 1.26
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+ [2025-10-29 15:53:17] (step=0046800) Train Loss: 0.4206, Train Steps/Sec: 1.26
522
+ [2025-10-29 15:54:36] (step=0046900) Train Loss: 0.4204, Train Steps/Sec: 1.26
523
+ [2025-10-29 15:55:56] (step=0047000) Train Loss: 0.4205, Train Steps/Sec: 1.26
524
+ [2025-10-29 15:57:15] (step=0047100) Train Loss: 0.4206, Train Steps/Sec: 1.26
525
+ [2025-10-29 15:58:34] (step=0047200) Train Loss: 0.4204, Train Steps/Sec: 1.26
526
+ [2025-10-29 15:59:53] (step=0047300) Train Loss: 0.4223, Train Steps/Sec: 1.26
527
+ [2025-10-29 16:01:12] (step=0047400) Train Loss: 0.4212, Train Steps/Sec: 1.26
528
+ [2025-10-29 16:02:31] (step=0047500) Train Loss: 0.4223, Train Steps/Sec: 1.26
529
+ [2025-10-29 16:03:02] Beginning epoch 38...
530
+ [2025-10-29 16:03:53] (step=0047600) Train Loss: 0.4199, Train Steps/Sec: 1.22
531
+ [2025-10-29 16:05:12] (step=0047700) Train Loss: 0.4213, Train Steps/Sec: 1.26
532
+ [2025-10-29 16:06:32] (step=0047800) Train Loss: 0.4214, Train Steps/Sec: 1.26
533
+ [2025-10-29 16:07:52] (step=0047900) Train Loss: 0.4219, Train Steps/Sec: 1.26
534
+ [2025-10-29 16:09:11] (step=0048000) Train Loss: 0.4191, Train Steps/Sec: 1.26
535
+ [2025-10-29 16:10:30] (step=0048100) Train Loss: 0.4216, Train Steps/Sec: 1.26
536
+ [2025-10-29 16:11:49] (step=0048200) Train Loss: 0.4206, Train Steps/Sec: 1.26
537
+ [2025-10-29 16:13:08] (step=0048300) Train Loss: 0.4207, Train Steps/Sec: 1.26
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+ [2025-10-29 16:14:27] (step=0048400) Train Loss: 0.4204, Train Steps/Sec: 1.26
539
+ [2025-10-29 16:15:46] (step=0048500) Train Loss: 0.4221, Train Steps/Sec: 1.26
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+ [2025-10-29 16:17:05] (step=0048600) Train Loss: 0.4195, Train Steps/Sec: 1.26
541
+ [2025-10-29 16:18:24] (step=0048700) Train Loss: 0.4195, Train Steps/Sec: 1.26
542
+ [2025-10-29 16:19:35] Beginning epoch 39...
543
+ [2025-10-29 16:19:46] (step=0048800) Train Loss: 0.4200, Train Steps/Sec: 1.22
544
+ [2025-10-29 16:21:06] (step=0048900) Train Loss: 0.4193, Train Steps/Sec: 1.26
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+ [2025-10-29 16:22:25] (step=0049000) Train Loss: 0.4193, Train Steps/Sec: 1.26
546
+ [2025-10-29 16:23:44] (step=0049100) Train Loss: 0.4201, Train Steps/Sec: 1.26
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+ [2025-10-29 16:25:03] (step=0049200) Train Loss: 0.4208, Train Steps/Sec: 1.26
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+ [2025-10-29 16:26:22] (step=0049300) Train Loss: 0.4206, Train Steps/Sec: 1.26
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+ [2025-10-29 16:27:41] (step=0049400) Train Loss: 0.4182, Train Steps/Sec: 1.26
550
+ [2025-10-29 16:29:00] (step=0049500) Train Loss: 0.4192, Train Steps/Sec: 1.26
551
+ [2025-10-29 16:30:20] (step=0049600) Train Loss: 0.4194, Train Steps/Sec: 1.25
552
+ [2025-10-29 16:31:39] (step=0049700) Train Loss: 0.4191, Train Steps/Sec: 1.26
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+ [2025-10-29 16:32:58] (step=0049800) Train Loss: 0.4207, Train Steps/Sec: 1.26
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+ [2025-10-29 16:34:17] (step=0049900) Train Loss: 0.4198, Train Steps/Sec: 1.26
555
+ [2025-10-29 16:35:37] (step=0050000) Train Loss: 0.4197, Train Steps/Sec: 1.26
556
+ [2025-10-29 16:36:43] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-bf16/checkpoints/0050000.pt
557
+ [2025-10-29 16:36:43] Generating EMA samples...
558
+ [2025-10-29 16:37:11] Generating EMA samples done.
559
+ [2025-10-29 16:37:43] Beginning epoch 40...
560
+ [2025-10-29 16:38:32] (step=0050100) Train Loss: 0.4192, Train Steps/Sec: 0.57
561
+ [2025-10-29 16:39:52] (step=0050200) Train Loss: 0.4188, Train Steps/Sec: 1.26
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+ [2025-10-29 16:41:11] (step=0050300) Train Loss: 0.4193, Train Steps/Sec: 1.26
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+ [2025-10-29 16:42:30] (step=0050400) Train Loss: 0.4194, Train Steps/Sec: 1.26
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+ [2025-10-29 16:43:49] (step=0050500) Train Loss: 0.4187, Train Steps/Sec: 1.26
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+ [2025-10-29 16:45:08] (step=0050600) Train Loss: 0.4192, Train Steps/Sec: 1.26
566
+ [2025-10-29 16:46:27] (step=0050700) Train Loss: 0.4200, Train Steps/Sec: 1.26
567
+ [2025-10-29 16:47:46] (step=0050800) Train Loss: 0.4189, Train Steps/Sec: 1.26
568
+ [2025-10-29 16:49:05] (step=0050900) Train Loss: 0.4196, Train Steps/Sec: 1.26
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+ [2025-10-29 16:50:25] (step=0051000) Train Loss: 0.4201, Train Steps/Sec: 1.26
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+ [2025-10-29 16:51:44] (step=0051100) Train Loss: 0.4194, Train Steps/Sec: 1.26
571
+ [2025-10-29 16:53:03] (step=0051200) Train Loss: 0.4195, Train Steps/Sec: 1.26
572
+ [2025-10-29 16:54:16] Beginning epoch 41...
573
+ [2025-10-29 16:54:26] (step=0051300) Train Loss: 0.4192, Train Steps/Sec: 1.21
574
+ [2025-10-29 16:55:45] (step=0051400) Train Loss: 0.4190, Train Steps/Sec: 1.26
575
+ [2025-10-29 16:57:04] (step=0051500) Train Loss: 0.4193, Train Steps/Sec: 1.26
576
+ [2025-10-29 16:58:23] (step=0051600) Train Loss: 0.4179, Train Steps/Sec: 1.26
577
+ [2025-10-29 16:59:42] (step=0051700) Train Loss: 0.4189, Train Steps/Sec: 1.26
578
+ [2025-10-29 17:01:01] (step=0051800) Train Loss: 0.4187, Train Steps/Sec: 1.26
579
+ [2025-10-29 17:02:21] (step=0051900) Train Loss: 0.4184, Train Steps/Sec: 1.26
580
+ [2025-10-29 17:03:40] (step=0052000) Train Loss: 0.4184, Train Steps/Sec: 1.26
581
+ [2025-10-29 17:04:59] (step=0052100) Train Loss: 0.4169, Train Steps/Sec: 1.26
582
+ [2025-10-29 17:06:18] (step=0052200) Train Loss: 0.4181, Train Steps/Sec: 1.26
583
+ [2025-10-29 17:07:37] (step=0052300) Train Loss: 0.4169, Train Steps/Sec: 1.26
584
+ [2025-10-29 17:08:56] (step=0052400) Train Loss: 0.4185, Train Steps/Sec: 1.26
585
+ [2025-10-29 17:10:15] (step=0052500) Train Loss: 0.4195, Train Steps/Sec: 1.26
586
+ [2025-10-29 17:10:49] Beginning epoch 42...
587
+ [2025-10-29 17:11:37] (step=0052600) Train Loss: 0.4191, Train Steps/Sec: 1.22
588
+ [2025-10-29 17:12:56] (step=0052700) Train Loss: 0.4175, Train Steps/Sec: 1.26
589
+ [2025-10-29 17:14:16] (step=0052800) Train Loss: 0.4178, Train Steps/Sec: 1.26
590
+ [2025-10-29 17:15:35] (step=0052900) Train Loss: 0.4183, Train Steps/Sec: 1.25
591
+ [2025-10-29 17:16:54] (step=0053000) Train Loss: 0.4188, Train Steps/Sec: 1.26
592
+ [2025-10-29 17:18:13] (step=0053100) Train Loss: 0.4186, Train Steps/Sec: 1.26
593
+ [2025-10-29 17:19:33] (step=0053200) Train Loss: 0.4178, Train Steps/Sec: 1.26
594
+ [2025-10-29 17:20:52] (step=0053300) Train Loss: 0.4183, Train Steps/Sec: 1.26
595
+ [2025-10-29 17:22:11] (step=0053400) Train Loss: 0.4174, Train Steps/Sec: 1.26
596
+ [2025-10-29 17:23:30] (step=0053500) Train Loss: 0.4176, Train Steps/Sec: 1.26
597
+ [2025-10-29 17:24:49] (step=0053600) Train Loss: 0.4184, Train Steps/Sec: 1.26
598
+ [2025-10-29 17:26:08] (step=0053700) Train Loss: 0.4174, Train Steps/Sec: 1.26
599
+ [2025-10-29 17:27:22] Beginning epoch 43...
600
+ [2025-10-29 17:27:30] (step=0053800) Train Loss: 0.4185, Train Steps/Sec: 1.22
601
+ [2025-10-29 17:28:49] (step=0053900) Train Loss: 0.4180, Train Steps/Sec: 1.26
602
+ [2025-10-29 17:30:09] (step=0054000) Train Loss: 0.4176, Train Steps/Sec: 1.26
603
+ [2025-10-29 17:31:28] (step=0054100) Train Loss: 0.4173, Train Steps/Sec: 1.26
604
+ [2025-10-29 17:32:47] (step=0054200) Train Loss: 0.4165, Train Steps/Sec: 1.26
605
+ [2025-10-29 17:34:06] (step=0054300) Train Loss: 0.4169, Train Steps/Sec: 1.26
606
+ [2025-10-29 17:35:25] (step=0054400) Train Loss: 0.4177, Train Steps/Sec: 1.26
607
+ [2025-10-29 17:36:45] (step=0054500) Train Loss: 0.4182, Train Steps/Sec: 1.26
608
+ [2025-10-29 17:38:04] (step=0054600) Train Loss: 0.4178, Train Steps/Sec: 1.25
609
+ [2025-10-29 17:39:23] (step=0054700) Train Loss: 0.4158, Train Steps/Sec: 1.26
610
+ [2025-10-29 17:40:42] (step=0054800) Train Loss: 0.4180, Train Steps/Sec: 1.26
611
+ [2025-10-29 17:42:02] (step=0054900) Train Loss: 0.4167, Train Steps/Sec: 1.26
612
+ [2025-10-29 17:43:21] (step=0055000) Train Loss: 0.4176, Train Steps/Sec: 1.26
613
+ [2025-10-29 17:43:56] Beginning epoch 44...
614
+ [2025-10-29 17:44:43] (step=0055100) Train Loss: 0.4182, Train Steps/Sec: 1.22
615
+ [2025-10-29 17:46:02] (step=0055200) Train Loss: 0.4180, Train Steps/Sec: 1.26
616
+ [2025-10-29 17:47:21] (step=0055300) Train Loss: 0.4167, Train Steps/Sec: 1.26
617
+ [2025-10-29 17:48:40] (step=0055400) Train Loss: 0.4176, Train Steps/Sec: 1.26
618
+ [2025-10-29 17:49:59] (step=0055500) Train Loss: 0.4157, Train Steps/Sec: 1.26
619
+ [2025-10-29 17:51:18] (step=0055600) Train Loss: 0.4168, Train Steps/Sec: 1.26
620
+ [2025-10-29 17:52:37] (step=0055700) Train Loss: 0.4173, Train Steps/Sec: 1.26
621
+ [2025-10-29 17:53:56] (step=0055800) Train Loss: 0.4175, Train Steps/Sec: 1.26
622
+ [2025-10-29 17:55:15] (step=0055900) Train Loss: 0.4165, Train Steps/Sec: 1.26
623
+ [2025-10-29 17:56:35] (step=0056000) Train Loss: 0.4185, Train Steps/Sec: 1.26
624
+ [2025-10-29 17:57:54] (step=0056100) Train Loss: 0.4162, Train Steps/Sec: 1.26
625
+ [2025-10-29 17:59:13] (step=0056200) Train Loss: 0.4175, Train Steps/Sec: 1.26
626
+ [2025-10-29 18:00:30] Beginning epoch 45...
627
+ [2025-10-29 18:00:36] (step=0056300) Train Loss: 0.4185, Train Steps/Sec: 1.21
628
+ [2025-10-29 18:01:55] (step=0056400) Train Loss: 0.4176, Train Steps/Sec: 1.26
629
+ [2025-10-29 18:03:14] (step=0056500) Train Loss: 0.4164, Train Steps/Sec: 1.26
630
+ [2025-10-29 18:04:33] (step=0056600) Train Loss: 0.4170, Train Steps/Sec: 1.26
631
+ [2025-10-29 18:05:52] (step=0056700) Train Loss: 0.4157, Train Steps/Sec: 1.26
632
+ [2025-10-29 18:07:11] (step=0056800) Train Loss: 0.4157, Train Steps/Sec: 1.26
633
+ [2025-10-29 18:08:31] (step=0056900) Train Loss: 0.4152, Train Steps/Sec: 1.26
634
+ [2025-10-29 18:09:50] (step=0057000) Train Loss: 0.4161, Train Steps/Sec: 1.26
635
+ [2025-10-29 18:11:09] (step=0057100) Train Loss: 0.4170, Train Steps/Sec: 1.26
636
+ [2025-10-29 18:12:28] (step=0057200) Train Loss: 0.4168, Train Steps/Sec: 1.26
637
+ [2025-10-29 18:13:47] (step=0057300) Train Loss: 0.4163, Train Steps/Sec: 1.26
638
+ [2025-10-29 18:15:06] (step=0057400) Train Loss: 0.4165, Train Steps/Sec: 1.26
639
+ [2025-10-29 18:16:25] (step=0057500) Train Loss: 0.4164, Train Steps/Sec: 1.26
640
+ [2025-10-29 18:17:02] Beginning epoch 46...
641
+ [2025-10-29 18:17:47] (step=0057600) Train Loss: 0.4156, Train Steps/Sec: 1.22
642
+ [2025-10-29 18:19:06] (step=0057700) Train Loss: 0.4166, Train Steps/Sec: 1.26
643
+ [2025-10-29 18:20:26] (step=0057800) Train Loss: 0.4172, Train Steps/Sec: 1.26
644
+ [2025-10-29 18:21:45] (step=0057900) Train Loss: 0.4166, Train Steps/Sec: 1.25
645
+ [2025-10-29 18:23:04] (step=0058000) Train Loss: 0.4156, Train Steps/Sec: 1.26
646
+ [2025-10-29 18:24:24] (step=0058100) Train Loss: 0.4156, Train Steps/Sec: 1.26
647
+ [2025-10-29 18:25:43] (step=0058200) Train Loss: 0.4168, Train Steps/Sec: 1.26
648
+ [2025-10-29 18:27:02] (step=0058300) Train Loss: 0.4177, Train Steps/Sec: 1.26
649
+ [2025-10-29 18:28:21] (step=0058400) Train Loss: 0.4162, Train Steps/Sec: 1.26
650
+ [2025-10-29 18:29:40] (step=0058500) Train Loss: 0.4159, Train Steps/Sec: 1.26
651
+ [2025-10-29 18:30:59] (step=0058600) Train Loss: 0.4160, Train Steps/Sec: 1.26
652
+ [2025-10-29 18:32:18] (step=0058700) Train Loss: 0.4165, Train Steps/Sec: 1.26
653
+ [2025-10-29 18:33:35] Beginning epoch 47...
654
+ [2025-10-29 18:33:40] (step=0058800) Train Loss: 0.4158, Train Steps/Sec: 1.22
655
+ [2025-10-29 18:34:59] (step=0058900) Train Loss: 0.4147, Train Steps/Sec: 1.26
656
+ [2025-10-29 18:36:18] (step=0059000) Train Loss: 0.4161, Train Steps/Sec: 1.26
657
+ [2025-10-29 18:37:38] (step=0059100) Train Loss: 0.4159, Train Steps/Sec: 1.26
658
+ [2025-10-29 18:38:57] (step=0059200) Train Loss: 0.4156, Train Steps/Sec: 1.26
659
+ [2025-10-29 18:40:16] (step=0059300) Train Loss: 0.4162, Train Steps/Sec: 1.26
660
+ [2025-10-29 18:41:35] (step=0059400) Train Loss: 0.4161, Train Steps/Sec: 1.26
661
+ [2025-10-29 18:42:54] (step=0059500) Train Loss: 0.4142, Train Steps/Sec: 1.26
662
+ [2025-10-29 18:44:14] (step=0059600) Train Loss: 0.4154, Train Steps/Sec: 1.26
663
+ [2025-10-29 18:45:33] (step=0059700) Train Loss: 0.4155, Train Steps/Sec: 1.26
664
+ [2025-10-29 18:46:52] (step=0059800) Train Loss: 0.4158, Train Steps/Sec: 1.26
665
+ [2025-10-29 18:48:11] (step=0059900) Train Loss: 0.4162, Train Steps/Sec: 1.26
666
+ [2025-10-29 18:49:30] (step=0060000) Train Loss: 0.4160, Train Steps/Sec: 1.26
667
+ [2025-10-29 18:50:09] Beginning epoch 48...
668
+ [2025-10-29 18:50:53] (step=0060100) Train Loss: 0.4168, Train Steps/Sec: 1.21
669
+ [2025-10-29 18:52:12] (step=0060200) Train Loss: 0.4160, Train Steps/Sec: 1.26
670
+ [2025-10-29 18:53:31] (step=0060300) Train Loss: 0.4155, Train Steps/Sec: 1.26
671
+ [2025-10-29 18:54:50] (step=0060400) Train Loss: 0.4146, Train Steps/Sec: 1.26
672
+ [2025-10-29 18:56:09] (step=0060500) Train Loss: 0.4152, Train Steps/Sec: 1.26
673
+ [2025-10-29 18:57:28] (step=0060600) Train Loss: 0.4138, Train Steps/Sec: 1.26
674
+ [2025-10-29 18:58:47] (step=0060700) Train Loss: 0.4146, Train Steps/Sec: 1.26
675
+ [2025-10-29 19:00:07] (step=0060800) Train Loss: 0.4161, Train Steps/Sec: 1.26
676
+ [2025-10-29 19:01:26] (step=0060900) Train Loss: 0.4146, Train Steps/Sec: 1.26
677
+ [2025-10-29 19:02:45] (step=0061000) Train Loss: 0.4161, Train Steps/Sec: 1.26
678
+ [2025-10-29 19:04:04] (step=0061100) Train Loss: 0.4161, Train Steps/Sec: 1.26
679
+ [2025-10-29 19:05:23] (step=0061200) Train Loss: 0.4152, Train Steps/Sec: 1.26
680
+ [2025-10-29 19:06:43] Beginning epoch 49...
681
+ [2025-10-29 19:06:46] (step=0061300) Train Loss: 0.4149, Train Steps/Sec: 1.20
682
+ [2025-10-29 19:08:06] (step=0061400) Train Loss: 0.4143, Train Steps/Sec: 1.26
683
+ [2025-10-29 19:09:25] (step=0061500) Train Loss: 0.4137, Train Steps/Sec: 1.26
684
+ [2025-10-29 19:10:44] (step=0061600) Train Loss: 0.4145, Train Steps/Sec: 1.26
685
+ [2025-10-29 19:12:03] (step=0061700) Train Loss: 0.4155, Train Steps/Sec: 1.27
686
+ [2025-10-29 19:13:22] (step=0061800) Train Loss: 0.4144, Train Steps/Sec: 1.26
687
+ [2025-10-29 19:14:41] (step=0061900) Train Loss: 0.4142, Train Steps/Sec: 1.26
688
+ [2025-10-29 19:16:00] (step=0062000) Train Loss: 0.4163, Train Steps/Sec: 1.26
689
+ [2025-10-29 19:17:19] (step=0062100) Train Loss: 0.4143, Train Steps/Sec: 1.26
690
+ [2025-10-29 19:18:38] (step=0062200) Train Loss: 0.4139, Train Steps/Sec: 1.26
691
+ [2025-10-29 19:19:58] (step=0062300) Train Loss: 0.4131, Train Steps/Sec: 1.26
692
+ [2025-10-29 19:21:17] (step=0062400) Train Loss: 0.4150, Train Steps/Sec: 1.26
693
+ [2025-10-29 19:22:36] (step=0062500) Train Loss: 0.4145, Train Steps/Sec: 1.26
694
+ [2025-10-29 19:23:16] Beginning epoch 50...
695
+ [2025-10-29 19:23:58] (step=0062600) Train Loss: 0.4148, Train Steps/Sec: 1.22
696
+ [2025-10-29 19:25:17] (step=0062700) Train Loss: 0.4145, Train Steps/Sec: 1.26
697
+ [2025-10-29 19:26:36] (step=0062800) Train Loss: 0.4138, Train Steps/Sec: 1.26
698
+ [2025-10-29 19:27:56] (step=0062900) Train Loss: 0.4146, Train Steps/Sec: 1.26
699
+ [2025-10-29 19:29:15] (step=0063000) Train Loss: 0.4149, Train Steps/Sec: 1.26
700
+ [2025-10-29 19:30:35] (step=0063100) Train Loss: 0.4136, Train Steps/Sec: 1.26
701
+ [2025-10-29 19:31:54] (step=0063200) Train Loss: 0.4137, Train Steps/Sec: 1.26
702
+ [2025-10-29 19:33:13] (step=0063300) Train Loss: 0.4146, Train Steps/Sec: 1.26
703
+ [2025-10-29 19:34:32] (step=0063400) Train Loss: 0.4141, Train Steps/Sec: 1.26
704
+ [2025-10-29 19:35:51] (step=0063500) Train Loss: 0.4134, Train Steps/Sec: 1.26
705
+ [2025-10-29 19:37:10] (step=0063600) Train Loss: 0.4146, Train Steps/Sec: 1.26
706
+ [2025-10-29 19:38:29] (step=0063700) Train Loss: 0.4153, Train Steps/Sec: 1.26
707
+ [2025-10-29 19:39:48] (step=0063800) Train Loss: 0.4132, Train Steps/Sec: 1.26
708
+ [2025-10-29 19:39:50] Beginning epoch 51...
709
+ [2025-10-29 19:41:10] (step=0063900) Train Loss: 0.4131, Train Steps/Sec: 1.22
710
+ [2025-10-29 19:42:29] (step=0064000) Train Loss: 0.4132, Train Steps/Sec: 1.26
711
+ [2025-10-29 19:43:49] (step=0064100) Train Loss: 0.4136, Train Steps/Sec: 1.26
712
+ [2025-10-29 19:45:08] (step=0064200) Train Loss: 0.4137, Train Steps/Sec: 1.26
713
+ [2025-10-29 19:46:27] (step=0064300) Train Loss: 0.4141, Train Steps/Sec: 1.26
714
+ [2025-10-29 19:47:46] (step=0064400) Train Loss: 0.4144, Train Steps/Sec: 1.26
715
+ [2025-10-29 19:49:05] (step=0064500) Train Loss: 0.4135, Train Steps/Sec: 1.26
716
+ [2025-10-29 19:50:25] (step=0064600) Train Loss: 0.4138, Train Steps/Sec: 1.26
717
+ [2025-10-29 19:51:44] (step=0064700) Train Loss: 0.4134, Train Steps/Sec: 1.26
718
+ [2025-10-29 19:53:04] (step=0064800) Train Loss: 0.4136, Train Steps/Sec: 1.26
719
+ [2025-10-29 19:54:23] (step=0064900) Train Loss: 0.4134, Train Steps/Sec: 1.26
720
+ [2025-10-29 19:55:42] (step=0065000) Train Loss: 0.4151, Train Steps/Sec: 1.26
721
+ [2025-10-29 19:56:23] Beginning epoch 52...
722
+ [2025-10-29 19:57:04] (step=0065100) Train Loss: 0.4151, Train Steps/Sec: 1.22
723
+ [2025-10-29 19:58:23] (step=0065200) Train Loss: 0.4135, Train Steps/Sec: 1.26
724
+ [2025-10-29 19:59:42] (step=0065300) Train Loss: 0.4141, Train Steps/Sec: 1.26
725
+ [2025-10-29 20:01:01] (step=0065400) Train Loss: 0.4134, Train Steps/Sec: 1.26
726
+ [2025-10-29 20:02:20] (step=0065500) Train Loss: 0.4124, Train Steps/Sec: 1.26
727
+ [2025-10-29 20:03:39] (step=0065600) Train Loss: 0.4139, Train Steps/Sec: 1.26
728
+ [2025-10-29 20:04:58] (step=0065700) Train Loss: 0.4124, Train Steps/Sec: 1.26
729
+ [2025-10-29 20:06:18] (step=0065800) Train Loss: 0.4139, Train Steps/Sec: 1.26
730
+ [2025-10-29 20:07:37] (step=0065900) Train Loss: 0.4151, Train Steps/Sec: 1.26
731
+ [2025-10-29 20:08:56] (step=0066000) Train Loss: 0.4141, Train Steps/Sec: 1.26
732
+ [2025-10-29 20:10:15] (step=0066100) Train Loss: 0.4133, Train Steps/Sec: 1.26
733
+ [2025-10-29 20:11:35] (step=0066200) Train Loss: 0.4147, Train Steps/Sec: 1.26
734
+ [2025-10-29 20:12:54] (step=0066300) Train Loss: 0.4135, Train Steps/Sec: 1.26
735
+ [2025-10-29 20:12:57] Beginning epoch 53...
736
+ [2025-10-29 20:14:16] (step=0066400) Train Loss: 0.4137, Train Steps/Sec: 1.22
737
+ [2025-10-29 20:15:36] (step=0066500) Train Loss: 0.4136, Train Steps/Sec: 1.26
738
+ [2025-10-29 20:16:55] (step=0066600) Train Loss: 0.4128, Train Steps/Sec: 1.26
739
+ [2025-10-29 20:18:14] (step=0066700) Train Loss: 0.4117, Train Steps/Sec: 1.26
740
+ [2025-10-29 20:19:33] (step=0066800) Train Loss: 0.4133, Train Steps/Sec: 1.26
741
+ [2025-10-29 20:20:52] (step=0066900) Train Loss: 0.4130, Train Steps/Sec: 1.26
742
+ [2025-10-29 20:22:11] (step=0067000) Train Loss: 0.4132, Train Steps/Sec: 1.26
743
+ [2025-10-29 20:23:30] (step=0067100) Train Loss: 0.4136, Train Steps/Sec: 1.26
744
+ [2025-10-29 20:24:49] (step=0067200) Train Loss: 0.4138, Train Steps/Sec: 1.26
745
+ [2025-10-29 20:26:08] (step=0067300) Train Loss: 0.4131, Train Steps/Sec: 1.26
746
+ [2025-10-29 20:27:28] (step=0067400) Train Loss: 0.4136, Train Steps/Sec: 1.26
747
+ [2025-10-29 20:28:47] (step=0067500) Train Loss: 0.4117, Train Steps/Sec: 1.26
748
+ [2025-10-29 20:29:30] Beginning epoch 54...
749
+ [2025-10-29 20:30:09] (step=0067600) Train Loss: 0.4123, Train Steps/Sec: 1.22
750
+ [2025-10-29 20:31:28] (step=0067700) Train Loss: 0.4145, Train Steps/Sec: 1.26
751
+ [2025-10-29 20:32:47] (step=0067800) Train Loss: 0.4135, Train Steps/Sec: 1.26
752
+ [2025-10-29 20:34:07] (step=0067900) Train Loss: 0.4121, Train Steps/Sec: 1.26
753
+ [2025-10-29 20:35:26] (step=0068000) Train Loss: 0.4128, Train Steps/Sec: 1.26
754
+ [2025-10-29 20:36:45] (step=0068100) Train Loss: 0.4129, Train Steps/Sec: 1.26
755
+ [2025-10-29 20:38:04] (step=0068200) Train Loss: 0.4131, Train Steps/Sec: 1.26
756
+ [2025-10-29 20:39:23] (step=0068300) Train Loss: 0.4125, Train Steps/Sec: 1.26
757
+ [2025-10-29 20:40:42] (step=0068400) Train Loss: 0.4124, Train Steps/Sec: 1.26
758
+ [2025-10-29 20:42:02] (step=0068500) Train Loss: 0.4134, Train Steps/Sec: 1.26
759
+ [2025-10-29 20:43:21] (step=0068600) Train Loss: 0.4128, Train Steps/Sec: 1.26
760
+ [2025-10-29 20:44:40] (step=0068700) Train Loss: 0.4137, Train Steps/Sec: 1.26
761
+ [2025-10-29 20:45:59] (step=0068800) Train Loss: 0.4127, Train Steps/Sec: 1.26
762
+ [2025-10-29 20:46:03] Beginning epoch 55...
763
+ [2025-10-29 20:47:21] (step=0068900) Train Loss: 0.4139, Train Steps/Sec: 1.22
764
+ [2025-10-29 20:48:40] (step=0069000) Train Loss: 0.4123, Train Steps/Sec: 1.26
765
+ [2025-10-29 20:49:59] (step=0069100) Train Loss: 0.4131, Train Steps/Sec: 1.26
766
+ [2025-10-29 20:51:18] (step=0069200) Train Loss: 0.4133, Train Steps/Sec: 1.26
767
+ [2025-10-29 20:52:37] (step=0069300) Train Loss: 0.4124, Train Steps/Sec: 1.26
768
+ [2025-10-29 20:53:56] (step=0069400) Train Loss: 0.4112, Train Steps/Sec: 1.26
769
+ [2025-10-29 20:55:16] (step=0069500) Train Loss: 0.4114, Train Steps/Sec: 1.26
770
+ [2025-10-29 20:56:35] (step=0069600) Train Loss: 0.4131, Train Steps/Sec: 1.26
771
+ [2025-10-29 20:57:55] (step=0069700) Train Loss: 0.4133, Train Steps/Sec: 1.26
772
+ [2025-10-29 20:59:14] (step=0069800) Train Loss: 0.4140, Train Steps/Sec: 1.26
773
+ [2025-10-29 21:00:33] (step=0069900) Train Loss: 0.4120, Train Steps/Sec: 1.26
774
+ [2025-10-29 21:01:52] (step=0070000) Train Loss: 0.4135, Train Steps/Sec: 1.26
775
+ [2025-10-29 21:02:37] Beginning epoch 56...
776
+ [2025-10-29 21:03:14] (step=0070100) Train Loss: 0.4119, Train Steps/Sec: 1.22
777
+ [2025-10-29 21:04:33] (step=0070200) Train Loss: 0.4118, Train Steps/Sec: 1.26
778
+ [2025-10-29 21:05:52] (step=0070300) Train Loss: 0.4117, Train Steps/Sec: 1.26
779
+ [2025-10-29 21:07:11] (step=0070400) Train Loss: 0.4107, Train Steps/Sec: 1.26
780
+ [2025-10-29 21:08:30] (step=0070500) Train Loss: 0.4116, Train Steps/Sec: 1.26
781
+ [2025-10-29 21:09:50] (step=0070600) Train Loss: 0.4115, Train Steps/Sec: 1.26
782
+ [2025-10-29 21:11:09] (step=0070700) Train Loss: 0.4133, Train Steps/Sec: 1.26
783
+ [2025-10-29 21:12:28] (step=0070800) Train Loss: 0.4124, Train Steps/Sec: 1.26
784
+ [2025-10-29 21:13:47] (step=0070900) Train Loss: 0.4115, Train Steps/Sec: 1.26
785
+ [2025-10-29 21:15:06] (step=0071000) Train Loss: 0.4120, Train Steps/Sec: 1.26
786
+ [2025-10-29 21:16:25] (step=0071100) Train Loss: 0.4121, Train Steps/Sec: 1.26
787
+ [2025-10-29 21:17:44] (step=0071200) Train Loss: 0.4125, Train Steps/Sec: 1.26
788
+ [2025-10-29 21:19:04] (step=0071300) Train Loss: 0.4125, Train Steps/Sec: 1.26
789
+ [2025-10-29 21:19:10] Beginning epoch 57...
790
+ [2025-10-29 21:20:26] (step=0071400) Train Loss: 0.4106, Train Steps/Sec: 1.21
791
+ [2025-10-29 21:21:45] (step=0071500) Train Loss: 0.4117, Train Steps/Sec: 1.26
792
+ [2025-10-29 21:23:04] (step=0071600) Train Loss: 0.4113, Train Steps/Sec: 1.26
793
+ [2025-10-29 21:24:24] (step=0071700) Train Loss: 0.4116, Train Steps/Sec: 1.26
794
+ [2025-10-29 21:25:43] (step=0071800) Train Loss: 0.4125, Train Steps/Sec: 1.26
795
+ [2025-10-29 21:27:02] (step=0071900) Train Loss: 0.4107, Train Steps/Sec: 1.26
796
+ [2025-10-29 21:28:21] (step=0072000) Train Loss: 0.4109, Train Steps/Sec: 1.26
797
+ [2025-10-29 21:29:40] (step=0072100) Train Loss: 0.4122, Train Steps/Sec: 1.26
798
+ [2025-10-29 21:30:59] (step=0072200) Train Loss: 0.4112, Train Steps/Sec: 1.26
799
+ [2025-10-29 21:32:18] (step=0072300) Train Loss: 0.4116, Train Steps/Sec: 1.26
800
+ [2025-10-29 21:33:37] (step=0072400) Train Loss: 0.4120, Train Steps/Sec: 1.26
801
+ [2025-10-29 21:34:56] (step=0072500) Train Loss: 0.4122, Train Steps/Sec: 1.26
802
+ [2025-10-29 21:35:43] Beginning epoch 58...
803
+ [2025-10-29 21:36:18] (step=0072600) Train Loss: 0.4108, Train Steps/Sec: 1.22
804
+ [2025-10-29 21:37:37] (step=0072700) Train Loss: 0.4118, Train Steps/Sec: 1.26
805
+ [2025-10-29 21:38:57] (step=0072800) Train Loss: 0.4129, Train Steps/Sec: 1.26
806
+ [2025-10-29 21:40:16] (step=0072900) Train Loss: 0.4099, Train Steps/Sec: 1.26
807
+ [2025-10-29 21:41:36] (step=0073000) Train Loss: 0.4122, Train Steps/Sec: 1.26
808
+ [2025-10-29 21:42:55] (step=0073100) Train Loss: 0.4104, Train Steps/Sec: 1.26
809
+ [2025-10-29 21:44:14] (step=0073200) Train Loss: 0.4105, Train Steps/Sec: 1.26
810
+ [2025-10-29 21:45:33] (step=0073300) Train Loss: 0.4119, Train Steps/Sec: 1.26
811
+ [2025-10-29 21:46:52] (step=0073400) Train Loss: 0.4129, Train Steps/Sec: 1.27
812
+ [2025-10-29 21:48:11] (step=0073500) Train Loss: 0.4101, Train Steps/Sec: 1.26
813
+ [2025-10-29 21:49:30] (step=0073600) Train Loss: 0.4124, Train Steps/Sec: 1.26
814
+ [2025-10-29 21:50:49] (step=0073700) Train Loss: 0.4121, Train Steps/Sec: 1.26
815
+ [2025-10-29 21:52:08] (step=0073800) Train Loss: 0.4112, Train Steps/Sec: 1.26
816
+ [2025-10-29 21:52:16] Beginning epoch 59...
817
+ [2025-10-29 21:53:30] (step=0073900) Train Loss: 0.4105, Train Steps/Sec: 1.22
818
+ [2025-10-29 21:54:50] (step=0074000) Train Loss: 0.4114, Train Steps/Sec: 1.26
819
+ [2025-10-29 21:56:09] (step=0074100) Train Loss: 0.4116, Train Steps/Sec: 1.26
820
+ [2025-10-29 21:57:28] (step=0074200) Train Loss: 0.4104, Train Steps/Sec: 1.26
821
+ [2025-10-29 21:58:47] (step=0074300) Train Loss: 0.4104, Train Steps/Sec: 1.26
822
+ [2025-10-29 22:00:06] (step=0074400) Train Loss: 0.4113, Train Steps/Sec: 1.26
823
+ [2025-10-29 22:01:25] (step=0074500) Train Loss: 0.4112, Train Steps/Sec: 1.26
824
+ [2025-10-29 22:02:45] (step=0074600) Train Loss: 0.4111, Train Steps/Sec: 1.25
825
+ [2025-10-29 22:04:04] (step=0074700) Train Loss: 0.4100, Train Steps/Sec: 1.26
826
+ [2025-10-29 22:05:23] (step=0074800) Train Loss: 0.4121, Train Steps/Sec: 1.26
827
+ [2025-10-29 22:06:43] (step=0074900) Train Loss: 0.4095, Train Steps/Sec: 1.26
828
+ [2025-10-29 22:08:02] (step=0075000) Train Loss: 0.4111, Train Steps/Sec: 1.26
829
+ [2025-10-29 22:08:53] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-bf16/checkpoints/0075000.pt
830
+ [2025-10-29 22:08:53] Generating EMA samples...
831
+ [2025-10-29 22:09:21] Generating EMA samples done.
832
+ [2025-10-29 22:10:09] Beginning epoch 60...
833
+ [2025-10-29 22:10:43] (step=0075100) Train Loss: 0.4103, Train Steps/Sec: 0.62
834
+ [2025-10-29 22:12:02] (step=0075200) Train Loss: 0.4101, Train Steps/Sec: 1.26
835
+ [2025-10-29 22:13:21] (step=0075300) Train Loss: 0.4097, Train Steps/Sec: 1.26
836
+ [2025-10-29 22:14:40] (step=0075400) Train Loss: 0.4109, Train Steps/Sec: 1.26
837
+ [2025-10-29 22:15:59] (step=0075500) Train Loss: 0.4112, Train Steps/Sec: 1.26
838
+ [2025-10-29 22:17:18] (step=0075600) Train Loss: 0.4109, Train Steps/Sec: 1.26
839
+ [2025-10-29 22:18:38] (step=0075700) Train Loss: 0.4112, Train Steps/Sec: 1.26
840
+ [2025-10-29 22:19:57] (step=0075800) Train Loss: 0.4105, Train Steps/Sec: 1.26
841
+ [2025-10-29 22:21:16] (step=0075900) Train Loss: 0.4107, Train Steps/Sec: 1.26
842
+ [2025-10-29 22:22:35] (step=0076000) Train Loss: 0.4112, Train Steps/Sec: 1.26
843
+ [2025-10-29 22:23:54] (step=0076100) Train Loss: 0.4113, Train Steps/Sec: 1.26
844
+ [2025-10-29 22:25:14] (step=0076200) Train Loss: 0.4110, Train Steps/Sec: 1.26
845
+ [2025-10-29 22:26:33] (step=0076300) Train Loss: 0.4105, Train Steps/Sec: 1.26
846
+ [2025-10-29 22:26:42] Beginning epoch 61...
847
+ [2025-10-29 22:27:55] (step=0076400) Train Loss: 0.4110, Train Steps/Sec: 1.23
848
+ [2025-10-29 22:29:14] (step=0076500) Train Loss: 0.4103, Train Steps/Sec: 1.26
849
+ [2025-10-29 22:30:33] (step=0076600) Train Loss: 0.4093, Train Steps/Sec: 1.26
850
+ [2025-10-29 22:31:52] (step=0076700) Train Loss: 0.4103, Train Steps/Sec: 1.26
851
+ [2025-10-29 22:33:11] (step=0076800) Train Loss: 0.4111, Train Steps/Sec: 1.26
852
+ [2025-10-29 22:34:30] (step=0076900) Train Loss: 0.4099, Train Steps/Sec: 1.26
853
+ [2025-10-29 22:35:49] (step=0077000) Train Loss: 0.4101, Train Steps/Sec: 1.26
854
+ [2025-10-29 22:37:09] (step=0077100) Train Loss: 0.4114, Train Steps/Sec: 1.26
855
+ [2025-10-29 22:38:28] (step=0077200) Train Loss: 0.4103, Train Steps/Sec: 1.26
856
+ [2025-10-29 22:39:47] (step=0077300) Train Loss: 0.4097, Train Steps/Sec: 1.26
857
+ [2025-10-29 22:41:06] (step=0077400) Train Loss: 0.4110, Train Steps/Sec: 1.26
858
+ [2025-10-29 22:42:25] (step=0077500) Train Loss: 0.4108, Train Steps/Sec: 1.26
859
+ [2025-10-29 22:43:14] Beginning epoch 62...
860
+ [2025-10-29 22:43:47] (step=0077600) Train Loss: 0.4106, Train Steps/Sec: 1.22
861
+ [2025-10-29 22:45:06] (step=0077700) Train Loss: 0.4092, Train Steps/Sec: 1.26
862
+ [2025-10-29 22:46:25] (step=0077800) Train Loss: 0.4092, Train Steps/Sec: 1.26
863
+ [2025-10-29 22:47:44] (step=0077900) Train Loss: 0.4104, Train Steps/Sec: 1.26
864
+ [2025-10-29 22:49:04] (step=0078000) Train Loss: 0.4095, Train Steps/Sec: 1.26
865
+ [2025-10-29 22:50:23] (step=0078100) Train Loss: 0.4085, Train Steps/Sec: 1.26
866
+ [2025-10-29 22:51:42] (step=0078200) Train Loss: 0.4094, Train Steps/Sec: 1.26
867
+ [2025-10-29 22:53:01] (step=0078300) Train Loss: 0.4105, Train Steps/Sec: 1.26
868
+ [2025-10-29 22:54:21] (step=0078400) Train Loss: 0.4096, Train Steps/Sec: 1.26
869
+ [2025-10-29 22:55:40] (step=0078500) Train Loss: 0.4101, Train Steps/Sec: 1.26
870
+ [2025-10-29 22:56:59] (step=0078600) Train Loss: 0.4095, Train Steps/Sec: 1.26
871
+ [2025-10-29 22:58:18] (step=0078700) Train Loss: 0.4112, Train Steps/Sec: 1.26
872
+ [2025-10-29 22:59:37] (step=0078800) Train Loss: 0.4088, Train Steps/Sec: 1.26
873
+ [2025-10-29 22:59:48] Beginning epoch 63...
874
+ [2025-10-29 23:00:59] (step=0078900) Train Loss: 0.4093, Train Steps/Sec: 1.23
875
+ [2025-10-29 23:02:18] (step=0079000) Train Loss: 0.4097, Train Steps/Sec: 1.26
876
+ [2025-10-29 23:03:37] (step=0079100) Train Loss: 0.4095, Train Steps/Sec: 1.26
877
+ [2025-10-29 23:04:56] (step=0079200) Train Loss: 0.4100, Train Steps/Sec: 1.26
878
+ [2025-10-29 23:06:15] (step=0079300) Train Loss: 0.4104, Train Steps/Sec: 1.26
879
+ [2025-10-29 23:07:34] (step=0079400) Train Loss: 0.4087, Train Steps/Sec: 1.26
880
+ [2025-10-29 23:08:53] (step=0079500) Train Loss: 0.4103, Train Steps/Sec: 1.26
881
+ [2025-10-29 23:10:13] (step=0079600) Train Loss: 0.4107, Train Steps/Sec: 1.26
882
+ [2025-10-29 23:11:32] (step=0079700) Train Loss: 0.4095, Train Steps/Sec: 1.26
883
+ [2025-10-29 23:12:51] (step=0079800) Train Loss: 0.4097, Train Steps/Sec: 1.26
884
+ [2025-10-29 23:14:11] (step=0079900) Train Loss: 0.4093, Train Steps/Sec: 1.26
885
+ [2025-10-29 23:15:30] (step=0080000) Train Loss: 0.4082, Train Steps/Sec: 1.26
886
+ [2025-10-29 23:16:21] Beginning epoch 64...
887
+ [2025-10-29 23:16:51] (step=0080100) Train Loss: 0.4102, Train Steps/Sec: 1.22
888
+ [2025-10-29 23:18:11] (step=0080200) Train Loss: 0.4109, Train Steps/Sec: 1.26
889
+ [2025-10-29 23:19:30] (step=0080300) Train Loss: 0.4093, Train Steps/Sec: 1.26
890
+ [2025-10-29 23:20:49] (step=0080400) Train Loss: 0.4104, Train Steps/Sec: 1.26
891
+ [2025-10-29 23:22:08] (step=0080500) Train Loss: 0.4108, Train Steps/Sec: 1.26
892
+ [2025-10-29 23:23:27] (step=0080600) Train Loss: 0.4082, Train Steps/Sec: 1.26
893
+ [2025-10-29 23:24:46] (step=0080700) Train Loss: 0.4087, Train Steps/Sec: 1.26
894
+ [2025-10-29 23:26:05] (step=0080800) Train Loss: 0.4076, Train Steps/Sec: 1.26
895
+ [2025-10-29 23:27:24] (step=0080900) Train Loss: 0.4090, Train Steps/Sec: 1.26
896
+ [2025-10-29 23:28:43] (step=0081000) Train Loss: 0.4091, Train Steps/Sec: 1.26
897
+ [2025-10-29 23:30:02] (step=0081100) Train Loss: 0.4111, Train Steps/Sec: 1.26
898
+ [2025-10-29 23:31:22] (step=0081200) Train Loss: 0.4091, Train Steps/Sec: 1.26
899
+ [2025-10-29 23:32:41] (step=0081300) Train Loss: 0.4094, Train Steps/Sec: 1.26
900
+ [2025-10-29 23:32:54] Beginning epoch 65...
901
+ [2025-10-29 23:34:03] (step=0081400) Train Loss: 0.4096, Train Steps/Sec: 1.22
902
+ [2025-10-29 23:35:22] (step=0081500) Train Loss: 0.4080, Train Steps/Sec: 1.26
903
+ [2025-10-29 23:36:42] (step=0081600) Train Loss: 0.4088, Train Steps/Sec: 1.26
904
+ [2025-10-29 23:38:01] (step=0081700) Train Loss: 0.4097, Train Steps/Sec: 1.26
905
+ [2025-10-29 23:39:20] (step=0081800) Train Loss: 0.4091, Train Steps/Sec: 1.27
906
+ [2025-10-29 23:40:39] (step=0081900) Train Loss: 0.4095, Train Steps/Sec: 1.26
907
+ [2025-10-29 23:41:58] (step=0082000) Train Loss: 0.4095, Train Steps/Sec: 1.26
908
+ [2025-10-29 23:43:17] (step=0082100) Train Loss: 0.4097, Train Steps/Sec: 1.26
909
+ [2025-10-29 23:44:36] (step=0082200) Train Loss: 0.4093, Train Steps/Sec: 1.26
910
+ [2025-10-29 23:45:55] (step=0082300) Train Loss: 0.4086, Train Steps/Sec: 1.26
911
+ [2025-10-29 23:47:14] (step=0082400) Train Loss: 0.4086, Train Steps/Sec: 1.26
912
+ [2025-10-29 23:48:33] (step=0082500) Train Loss: 0.4092, Train Steps/Sec: 1.26
913
+ [2025-10-29 23:49:26] Beginning epoch 66...
914
+ [2025-10-29 23:49:55] (step=0082600) Train Loss: 0.4097, Train Steps/Sec: 1.22
915
+ [2025-10-29 23:51:14] (step=0082700) Train Loss: 0.4093, Train Steps/Sec: 1.26
916
+ [2025-10-29 23:52:33] (step=0082800) Train Loss: 0.4080, Train Steps/Sec: 1.26
917
+ [2025-10-29 23:53:53] (step=0082900) Train Loss: 0.4089, Train Steps/Sec: 1.26
918
+ [2025-10-29 23:55:12] (step=0083000) Train Loss: 0.4098, Train Steps/Sec: 1.26
919
+ [2025-10-29 23:56:32] (step=0083100) Train Loss: 0.4072, Train Steps/Sec: 1.26
920
+ [2025-10-29 23:57:51] (step=0083200) Train Loss: 0.4102, Train Steps/Sec: 1.26
921
+ [2025-10-29 23:59:10] (step=0083300) Train Loss: 0.4086, Train Steps/Sec: 1.26
922
+ [2025-10-30 00:00:29] (step=0083400) Train Loss: 0.4080, Train Steps/Sec: 1.26
923
+ [2025-10-30 00:01:48] (step=0083500) Train Loss: 0.4091, Train Steps/Sec: 1.26
924
+ [2025-10-30 00:03:07] (step=0083600) Train Loss: 0.4094, Train Steps/Sec: 1.26
925
+ [2025-10-30 00:04:26] (step=0083700) Train Loss: 0.4098, Train Steps/Sec: 1.26
926
+ [2025-10-30 00:05:46] (step=0083800) Train Loss: 0.4099, Train Steps/Sec: 1.26
927
+ [2025-10-30 00:05:59] Beginning epoch 67...
928
+ [2025-10-30 00:07:07] (step=0083900) Train Loss: 0.4082, Train Steps/Sec: 1.23
929
+ [2025-10-30 00:08:26] (step=0084000) Train Loss: 0.4083, Train Steps/Sec: 1.26
930
+ [2025-10-30 00:09:45] (step=0084100) Train Loss: 0.4086, Train Steps/Sec: 1.26
931
+ [2025-10-30 00:11:04] (step=0084200) Train Loss: 0.4080, Train Steps/Sec: 1.26
932
+ [2025-10-30 00:12:23] (step=0084300) Train Loss: 0.4081, Train Steps/Sec: 1.26
933
+ [2025-10-30 00:13:43] (step=0084400) Train Loss: 0.4100, Train Steps/Sec: 1.26
934
+ [2025-10-30 00:15:02] (step=0084500) Train Loss: 0.4080, Train Steps/Sec: 1.26
935
+ [2025-10-30 00:16:21] (step=0084600) Train Loss: 0.4082, Train Steps/Sec: 1.26
936
+ [2025-10-30 00:17:41] (step=0084700) Train Loss: 0.4077, Train Steps/Sec: 1.26
937
+ [2025-10-30 00:19:00] (step=0084800) Train Loss: 0.4084, Train Steps/Sec: 1.26
938
+ [2025-10-30 00:20:19] (step=0084900) Train Loss: 0.4094, Train Steps/Sec: 1.26
939
+ [2025-10-30 00:21:38] (step=0085000) Train Loss: 0.4087, Train Steps/Sec: 1.26
940
+ [2025-10-30 00:22:32] Beginning epoch 68...
941
+ [2025-10-30 00:23:00] (step=0085100) Train Loss: 0.4080, Train Steps/Sec: 1.22
942
+ [2025-10-30 00:24:19] (step=0085200) Train Loss: 0.4079, Train Steps/Sec: 1.26
943
+ [2025-10-30 00:25:39] (step=0085300) Train Loss: 0.4082, Train Steps/Sec: 1.26
944
+ [2025-10-30 00:26:58] (step=0085400) Train Loss: 0.4084, Train Steps/Sec: 1.26
945
+ [2025-10-30 00:28:17] (step=0085500) Train Loss: 0.4091, Train Steps/Sec: 1.26
946
+ [2025-10-30 00:29:36] (step=0085600) Train Loss: 0.4075, Train Steps/Sec: 1.26
947
+ [2025-10-30 00:30:55] (step=0085700) Train Loss: 0.4082, Train Steps/Sec: 1.26
948
+ [2025-10-30 00:32:14] (step=0085800) Train Loss: 0.4081, Train Steps/Sec: 1.26
949
+ [2025-10-30 00:33:33] (step=0085900) Train Loss: 0.4085, Train Steps/Sec: 1.26
950
+ [2025-10-30 00:34:52] (step=0086000) Train Loss: 0.4089, Train Steps/Sec: 1.26
951
+ [2025-10-30 00:36:12] (step=0086100) Train Loss: 0.4079, Train Steps/Sec: 1.26
952
+ [2025-10-30 00:37:31] (step=0086200) Train Loss: 0.4084, Train Steps/Sec: 1.26
953
+ [2025-10-30 00:38:50] (step=0086300) Train Loss: 0.4081, Train Steps/Sec: 1.26
954
+ [2025-10-30 00:39:06] Beginning epoch 69...
955
+ [2025-10-30 00:40:12] (step=0086400) Train Loss: 0.4078, Train Steps/Sec: 1.22
956
+ [2025-10-30 00:41:32] (step=0086500) Train Loss: 0.4083, Train Steps/Sec: 1.26
957
+ [2025-10-30 00:42:51] (step=0086600) Train Loss: 0.4083, Train Steps/Sec: 1.26
958
+ [2025-10-30 00:44:10] (step=0086700) Train Loss: 0.4082, Train Steps/Sec: 1.26
959
+ [2025-10-30 00:45:29] (step=0086800) Train Loss: 0.4076, Train Steps/Sec: 1.26
960
+ [2025-10-30 00:46:48] (step=0086900) Train Loss: 0.4086, Train Steps/Sec: 1.26
961
+ [2025-10-30 00:48:07] (step=0087000) Train Loss: 0.4089, Train Steps/Sec: 1.26
962
+ [2025-10-30 00:49:26] (step=0087100) Train Loss: 0.4086, Train Steps/Sec: 1.26
963
+ [2025-10-30 00:50:45] (step=0087200) Train Loss: 0.4075, Train Steps/Sec: 1.26
964
+ [2025-10-30 00:52:04] (step=0087300) Train Loss: 0.4076, Train Steps/Sec: 1.26
965
+ [2025-10-30 00:53:24] (step=0087400) Train Loss: 0.4077, Train Steps/Sec: 1.26
966
+ [2025-10-30 00:54:43] (step=0087500) Train Loss: 0.4094, Train Steps/Sec: 1.26
967
+ [2025-10-30 00:55:39] Beginning epoch 70...
968
+ [2025-10-30 00:56:04] (step=0087600) Train Loss: 0.4073, Train Steps/Sec: 1.23
969
+ [2025-10-30 00:57:23] (step=0087700) Train Loss: 0.4085, Train Steps/Sec: 1.26
970
+ [2025-10-30 00:58:43] (step=0087800) Train Loss: 0.4082, Train Steps/Sec: 1.26
971
+ [2025-10-30 01:00:02] (step=0087900) Train Loss: 0.4062, Train Steps/Sec: 1.26
972
+ [2025-10-30 01:01:21] (step=0088000) Train Loss: 0.4077, Train Steps/Sec: 1.26
973
+ [2025-10-30 01:02:41] (step=0088100) Train Loss: 0.4080, Train Steps/Sec: 1.26
974
+ [2025-10-30 01:04:00] (step=0088200) Train Loss: 0.4091, Train Steps/Sec: 1.26
975
+ [2025-10-30 01:05:19] (step=0088300) Train Loss: 0.4070, Train Steps/Sec: 1.26
976
+ [2025-10-30 01:06:38] (step=0088400) Train Loss: 0.4077, Train Steps/Sec: 1.26
977
+ [2025-10-30 01:07:57] (step=0088500) Train Loss: 0.4078, Train Steps/Sec: 1.26
978
+ [2025-10-30 01:09:16] (step=0088600) Train Loss: 0.4069, Train Steps/Sec: 1.26
979
+ [2025-10-30 01:10:35] (step=0088700) Train Loss: 0.4086, Train Steps/Sec: 1.26
980
+ [2025-10-30 01:11:55] (step=0088800) Train Loss: 0.4101, Train Steps/Sec: 1.26
981
+ [2025-10-30 01:12:12] Beginning epoch 71...
982
+ [2025-10-30 01:13:16] (step=0088900) Train Loss: 0.4079, Train Steps/Sec: 1.22
983
+ [2025-10-30 01:14:35] (step=0089000) Train Loss: 0.4069, Train Steps/Sec: 1.26
984
+ [2025-10-30 01:15:55] (step=0089100) Train Loss: 0.4074, Train Steps/Sec: 1.26
985
+ [2025-10-30 01:17:14] (step=0089200) Train Loss: 0.4080, Train Steps/Sec: 1.26
986
+ [2025-10-30 01:18:33] (step=0089300) Train Loss: 0.4068, Train Steps/Sec: 1.26
987
+ [2025-10-30 01:19:52] (step=0089400) Train Loss: 0.4062, Train Steps/Sec: 1.26
988
+ [2025-10-30 01:21:11] (step=0089500) Train Loss: 0.4074, Train Steps/Sec: 1.26
989
+ [2025-10-30 01:22:30] (step=0089600) Train Loss: 0.4073, Train Steps/Sec: 1.26
990
+ [2025-10-30 01:23:50] (step=0089700) Train Loss: 0.4081, Train Steps/Sec: 1.26
991
+ [2025-10-30 01:25:09] (step=0089800) Train Loss: 0.4063, Train Steps/Sec: 1.26
992
+ [2025-10-30 01:26:28] (step=0089900) Train Loss: 0.4062, Train Steps/Sec: 1.26
993
+ [2025-10-30 01:27:47] (step=0090000) Train Loss: 0.4073, Train Steps/Sec: 1.26
994
+ [2025-10-30 01:28:45] Beginning epoch 72...
995
+ [2025-10-30 01:29:09] (step=0090100) Train Loss: 0.4075, Train Steps/Sec: 1.22
996
+ [2025-10-30 01:30:28] (step=0090200) Train Loss: 0.4081, Train Steps/Sec: 1.26
997
+ [2025-10-30 01:31:48] (step=0090300) Train Loss: 0.4062, Train Steps/Sec: 1.26
998
+ [2025-10-30 01:33:07] (step=0090400) Train Loss: 0.4073, Train Steps/Sec: 1.26
999
+ [2025-10-30 01:34:26] (step=0090500) Train Loss: 0.4070, Train Steps/Sec: 1.26
1000
+ [2025-10-30 01:35:45] (step=0090600) Train Loss: 0.4081, Train Steps/Sec: 1.26
1001
+ [2025-10-30 01:37:04] (step=0090700) Train Loss: 0.4089, Train Steps/Sec: 1.26
1002
+ [2025-10-30 01:38:23] (step=0090800) Train Loss: 0.4066, Train Steps/Sec: 1.26
1003
+ [2025-10-30 01:39:42] (step=0090900) Train Loss: 0.4072, Train Steps/Sec: 1.26
1004
+ [2025-10-30 01:41:01] (step=0091000) Train Loss: 0.4076, Train Steps/Sec: 1.26
1005
+ [2025-10-30 01:42:20] (step=0091100) Train Loss: 0.4087, Train Steps/Sec: 1.26
1006
+ [2025-10-30 01:43:40] (step=0091200) Train Loss: 0.4081, Train Steps/Sec: 1.26
1007
+ [2025-10-30 01:44:59] (step=0091300) Train Loss: 0.4084, Train Steps/Sec: 1.26
1008
+ [2025-10-30 01:45:18] Beginning epoch 73...
1009
+ [2025-10-30 01:46:21] (step=0091400) Train Loss: 0.4068, Train Steps/Sec: 1.22
1010
+ [2025-10-30 01:47:41] (step=0091500) Train Loss: 0.4067, Train Steps/Sec: 1.26
1011
+ [2025-10-30 01:49:00] (step=0091600) Train Loss: 0.4077, Train Steps/Sec: 1.26
1012
+ [2025-10-30 01:50:19] (step=0091700) Train Loss: 0.4068, Train Steps/Sec: 1.26
1013
+ [2025-10-30 01:51:38] (step=0091800) Train Loss: 0.4067, Train Steps/Sec: 1.26
1014
+ [2025-10-30 01:52:57] (step=0091900) Train Loss: 0.4062, Train Steps/Sec: 1.26
1015
+ [2025-10-30 01:54:16] (step=0092000) Train Loss: 0.4075, Train Steps/Sec: 1.26
1016
+ [2025-10-30 01:55:35] (step=0092100) Train Loss: 0.4067, Train Steps/Sec: 1.26
1017
+ [2025-10-30 01:56:55] (step=0092200) Train Loss: 0.4076, Train Steps/Sec: 1.26
1018
+ [2025-10-30 01:58:14] (step=0092300) Train Loss: 0.4072, Train Steps/Sec: 1.26
1019
+ [2025-10-30 01:59:33] (step=0092400) Train Loss: 0.4086, Train Steps/Sec: 1.26
1020
+ [2025-10-30 02:00:52] (step=0092500) Train Loss: 0.4067, Train Steps/Sec: 1.26
1021
+ [2025-10-30 02:01:51] Beginning epoch 74...
1022
+ [2025-10-30 02:02:13] (step=0092600) Train Loss: 0.4052, Train Steps/Sec: 1.23
1023
+ [2025-10-30 02:03:33] (step=0092700) Train Loss: 0.4064, Train Steps/Sec: 1.26
1024
+ [2025-10-30 02:04:52] (step=0092800) Train Loss: 0.4066, Train Steps/Sec: 1.26
1025
+ [2025-10-30 02:06:11] (step=0092900) Train Loss: 0.4060, Train Steps/Sec: 1.26
1026
+ [2025-10-30 02:07:31] (step=0093000) Train Loss: 0.4067, Train Steps/Sec: 1.26
1027
+ [2025-10-30 02:08:50] (step=0093100) Train Loss: 0.4058, Train Steps/Sec: 1.26
1028
+ [2025-10-30 02:10:09] (step=0093200) Train Loss: 0.4058, Train Steps/Sec: 1.26
1029
+ [2025-10-30 02:11:28] (step=0093300) Train Loss: 0.4057, Train Steps/Sec: 1.26
1030
+ [2025-10-30 02:12:47] (step=0093400) Train Loss: 0.4063, Train Steps/Sec: 1.26
1031
+ [2025-10-30 02:14:06] (step=0093500) Train Loss: 0.4083, Train Steps/Sec: 1.26
1032
+ [2025-10-30 02:15:26] (step=0093600) Train Loss: 0.4062, Train Steps/Sec: 1.26
1033
+ [2025-10-30 02:16:45] (step=0093700) Train Loss: 0.4073, Train Steps/Sec: 1.26
1034
+ [2025-10-30 02:18:04] (step=0093800) Train Loss: 0.4056, Train Steps/Sec: 1.26
1035
+ [2025-10-30 02:18:24] Beginning epoch 75...
1036
+ [2025-10-30 02:19:26] (step=0093900) Train Loss: 0.4058, Train Steps/Sec: 1.22
1037
+ [2025-10-30 02:20:45] (step=0094000) Train Loss: 0.4071, Train Steps/Sec: 1.26
1038
+ [2025-10-30 02:22:04] (step=0094100) Train Loss: 0.4058, Train Steps/Sec: 1.26
1039
+ [2025-10-30 02:23:23] (step=0094200) Train Loss: 0.4067, Train Steps/Sec: 1.26
1040
+ [2025-10-30 02:24:42] (step=0094300) Train Loss: 0.4074, Train Steps/Sec: 1.26
1041
+ [2025-10-30 02:26:01] (step=0094400) Train Loss: 0.4055, Train Steps/Sec: 1.26
1042
+ [2025-10-30 02:27:20] (step=0094500) Train Loss: 0.4064, Train Steps/Sec: 1.26
1043
+ [2025-10-30 02:28:40] (step=0094600) Train Loss: 0.4068, Train Steps/Sec: 1.26
1044
+ [2025-10-30 02:29:59] (step=0094700) Train Loss: 0.4075, Train Steps/Sec: 1.26
1045
+ [2025-10-30 02:31:19] (step=0094800) Train Loss: 0.4070, Train Steps/Sec: 1.26
1046
+ [2025-10-30 02:32:38] (step=0094900) Train Loss: 0.4062, Train Steps/Sec: 1.26
1047
+ [2025-10-30 02:33:57] (step=0095000) Train Loss: 0.4079, Train Steps/Sec: 1.26
1048
+ [2025-10-30 02:34:58] Beginning epoch 76...
1049
+ [2025-10-30 02:35:19] (step=0095100) Train Loss: 0.4072, Train Steps/Sec: 1.22
1050
+ [2025-10-30 02:36:38] (step=0095200) Train Loss: 0.4053, Train Steps/Sec: 1.26
1051
+ [2025-10-30 02:37:57] (step=0095300) Train Loss: 0.4063, Train Steps/Sec: 1.26
1052
+ [2025-10-30 02:39:16] (step=0095400) Train Loss: 0.4066, Train Steps/Sec: 1.26
1053
+ [2025-10-30 02:40:35] (step=0095500) Train Loss: 0.4059, Train Steps/Sec: 1.26
1054
+ [2025-10-30 02:41:55] (step=0095600) Train Loss: 0.4060, Train Steps/Sec: 1.26
1055
+ [2025-10-30 02:43:14] (step=0095700) Train Loss: 0.4069, Train Steps/Sec: 1.26
1056
+ [2025-10-30 02:44:33] (step=0095800) Train Loss: 0.4060, Train Steps/Sec: 1.26
1057
+ [2025-10-30 02:45:52] (step=0095900) Train Loss: 0.4053, Train Steps/Sec: 1.26
1058
+ [2025-10-30 02:47:11] (step=0096000) Train Loss: 0.4068, Train Steps/Sec: 1.26
1059
+ [2025-10-30 02:48:30] (step=0096100) Train Loss: 0.4061, Train Steps/Sec: 1.26
1060
+ [2025-10-30 02:49:50] (step=0096200) Train Loss: 0.4063, Train Steps/Sec: 1.26
1061
+ [2025-10-30 02:51:09] (step=0096300) Train Loss: 0.4053, Train Steps/Sec: 1.26
1062
+ [2025-10-30 02:51:31] Beginning epoch 77...
1063
+ [2025-10-30 02:52:31] (step=0096400) Train Loss: 0.4053, Train Steps/Sec: 1.21
1064
+ [2025-10-30 02:53:50] (step=0096500) Train Loss: 0.4056, Train Steps/Sec: 1.26
1065
+ [2025-10-30 02:55:10] (step=0096600) Train Loss: 0.4043, Train Steps/Sec: 1.26
1066
+ [2025-10-30 02:56:29] (step=0096700) Train Loss: 0.4055, Train Steps/Sec: 1.26
1067
+ [2025-10-30 02:57:48] (step=0096800) Train Loss: 0.4070, Train Steps/Sec: 1.26
1068
+ [2025-10-30 02:59:07] (step=0096900) Train Loss: 0.4051, Train Steps/Sec: 1.26
1069
+ [2025-10-30 03:00:26] (step=0097000) Train Loss: 0.4061, Train Steps/Sec: 1.26
1070
+ [2025-10-30 03:01:45] (step=0097100) Train Loss: 0.4059, Train Steps/Sec: 1.26
1071
+ [2025-10-30 03:03:05] (step=0097200) Train Loss: 0.4056, Train Steps/Sec: 1.26
1072
+ [2025-10-30 03:04:24] (step=0097300) Train Loss: 0.4058, Train Steps/Sec: 1.26
1073
+ [2025-10-30 03:05:43] (step=0097400) Train Loss: 0.4065, Train Steps/Sec: 1.26
1074
+ [2025-10-30 03:07:02] (step=0097500) Train Loss: 0.4054, Train Steps/Sec: 1.26
1075
+ [2025-10-30 03:08:04] Beginning epoch 78...
1076
+ [2025-10-30 03:08:24] (step=0097600) Train Loss: 0.4055, Train Steps/Sec: 1.22
1077
+ [2025-10-30 03:09:43] (step=0097700) Train Loss: 0.4054, Train Steps/Sec: 1.26
1078
+ [2025-10-30 03:11:02] (step=0097800) Train Loss: 0.4055, Train Steps/Sec: 1.26
1079
+ [2025-10-30 03:12:21] (step=0097900) Train Loss: 0.4068, Train Steps/Sec: 1.26
1080
+ [2025-10-30 03:13:41] (step=0098000) Train Loss: 0.4063, Train Steps/Sec: 1.26
1081
+ [2025-10-30 03:15:00] (step=0098100) Train Loss: 0.4037, Train Steps/Sec: 1.26
1082
+ [2025-10-30 03:16:20] (step=0098200) Train Loss: 0.4050, Train Steps/Sec: 1.26
1083
+ [2025-10-30 03:17:39] (step=0098300) Train Loss: 0.4054, Train Steps/Sec: 1.26
1084
+ [2025-10-30 03:18:58] (step=0098400) Train Loss: 0.4064, Train Steps/Sec: 1.26
1085
+ [2025-10-30 03:20:17] (step=0098500) Train Loss: 0.4057, Train Steps/Sec: 1.26
1086
+ [2025-10-30 03:21:36] (step=0098600) Train Loss: 0.4069, Train Steps/Sec: 1.26
1087
+ [2025-10-30 03:22:55] (step=0098700) Train Loss: 0.4065, Train Steps/Sec: 1.26
1088
+ [2025-10-30 03:24:15] (step=0098800) Train Loss: 0.4060, Train Steps/Sec: 1.26
1089
+ [2025-10-30 03:24:38] Beginning epoch 79...
1090
+ [2025-10-30 03:25:36] (step=0098900) Train Loss: 0.4051, Train Steps/Sec: 1.22
1091
+ [2025-10-30 03:26:55] (step=0099000) Train Loss: 0.4053, Train Steps/Sec: 1.26
1092
+ [2025-10-30 03:28:15] (step=0099100) Train Loss: 0.4057, Train Steps/Sec: 1.26
1093
+ [2025-10-30 03:29:34] (step=0099200) Train Loss: 0.4053, Train Steps/Sec: 1.26
1094
+ [2025-10-30 03:30:53] (step=0099300) Train Loss: 0.4043, Train Steps/Sec: 1.26
1095
+ [2025-10-30 03:32:12] (step=0099400) Train Loss: 0.4059, Train Steps/Sec: 1.26
1096
+ [2025-10-30 03:33:31] (step=0099500) Train Loss: 0.4062, Train Steps/Sec: 1.26
1097
+ [2025-10-30 03:34:51] (step=0099600) Train Loss: 0.4056, Train Steps/Sec: 1.26
1098
+ [2025-10-30 03:36:10] (step=0099700) Train Loss: 0.4048, Train Steps/Sec: 1.26
1099
+ [2025-10-30 03:37:30] (step=0099800) Train Loss: 0.4060, Train Steps/Sec: 1.26
1100
+ [2025-10-30 03:38:49] (step=0099900) Train Loss: 0.4056, Train Steps/Sec: 1.26
1101
+ [2025-10-30 03:40:08] (step=0100000) Train Loss: 0.4049, Train Steps/Sec: 1.26
1102
+ [2025-10-30 03:41:07] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-bf16/checkpoints/0100000.pt
1103
+ [2025-10-30 03:41:07] Generating EMA samples...
1104
+ [2025-10-30 03:41:36] Generating EMA samples done.
1105
+ [2025-10-30 03:42:39] Done!