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+ [2025-10-29 05:36:42] Experiment directory created at results/stage2/hfdata/lightningdit-xl-dinov2-vit-b-bf16
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+ [2025-10-29 05:36:44] using MLP layer as FFN
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+ [2025-10-29 05:37:00] Model Parameters: 1202.04M
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+ [2025-10-29 05:37:03] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/train)
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+ [2025-10-29 05:37:03] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-29 05:37:03] Precision mode: bf16
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+ [2025-10-29 05:37:03] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-29 05:37:03] 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 05:37:03] Training for 80 epochs...
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+ [2025-10-29 05:37:03] Beginning epoch 0...
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+ [2025-10-29 05:37:09] Generating EMA samples...
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+ [2025-10-29 05:37:37] Generating EMA samples done.
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+ [2025-10-29 05:38:57] (step=0000100) Train Loss: 1.6175, Train Steps/Sec: 0.88
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+ [2025-10-29 05:40:17] (step=0000200) Train Loss: 1.2188, Train Steps/Sec: 1.24
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+ [2025-10-29 05:41:38] (step=0000300) Train Loss: 1.0074, Train Steps/Sec: 1.24
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+ [2025-10-29 05:42:59] (step=0000400) Train Loss: 0.8993, Train Steps/Sec: 1.24
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+ [2025-10-29 05:44:19] (step=0000500) Train Loss: 0.8367, Train Steps/Sec: 1.24
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+ [2025-10-29 05:45:40] (step=0000600) Train Loss: 0.7966, Train Steps/Sec: 1.24
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+ [2025-10-29 05:47:01] (step=0000700) Train Loss: 0.7646, Train Steps/Sec: 1.24
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+ [2025-10-29 05:48:22] (step=0000800) Train Loss: 0.7402, Train Steps/Sec: 1.24
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+ [2025-10-29 05:49:42] (step=0000900) Train Loss: 0.7223, Train Steps/Sec: 1.24
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+ [2025-10-29 05:51:04] (step=0001000) Train Loss: 0.7073, Train Steps/Sec: 1.23
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+ [2025-10-29 05:52:24] (step=0001100) Train Loss: 0.6949, Train Steps/Sec: 1.24
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+ [2025-10-29 05:53:45] (step=0001200) Train Loss: 0.6842, Train Steps/Sec: 1.24
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+ [2025-10-29 05:54:26] Beginning epoch 1...
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+ [2025-10-29 05:55:08] (step=0001300) Train Loss: 0.6755, Train Steps/Sec: 1.21
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+ [2025-10-29 05:56:28] (step=0001400) Train Loss: 0.6679, Train Steps/Sec: 1.24
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+ [2025-10-29 05:57:49] (step=0001500) Train Loss: 0.6589, Train Steps/Sec: 1.24
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+ [2025-10-29 05:59:10] (step=0001600) Train Loss: 0.6533, Train Steps/Sec: 1.24
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+ [2025-10-29 06:00:31] (step=0001700) Train Loss: 0.6480, Train Steps/Sec: 1.24
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+ [2025-10-29 06:01:51] (step=0001800) Train Loss: 0.6431, Train Steps/Sec: 1.24
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+ [2025-10-29 06:03:12] (step=0001900) Train Loss: 0.6386, Train Steps/Sec: 1.24
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+ [2025-10-29 06:04:33] (step=0002000) Train Loss: 0.6349, Train Steps/Sec: 1.24
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+ [2025-10-29 06:05:54] (step=0002100) Train Loss: 0.6292, Train Steps/Sec: 1.24
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+ [2025-10-29 06:07:14] (step=0002200) Train Loss: 0.6266, Train Steps/Sec: 1.24
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+ [2025-10-29 06:08:35] (step=0002300) Train Loss: 0.6230, Train Steps/Sec: 1.24
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+ [2025-10-29 06:09:56] (step=0002400) Train Loss: 0.6207, Train Steps/Sec: 1.24
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+ [2025-10-29 06:11:17] (step=0002500) Train Loss: 0.6161, Train Steps/Sec: 1.24
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+ [2025-10-29 06:11:19] Beginning epoch 2...
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+ [2025-10-29 06:12:40] (step=0002600) Train Loss: 0.6125, Train Steps/Sec: 1.20
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+ [2025-10-29 06:14:01] (step=0002700) Train Loss: 0.6106, Train Steps/Sec: 1.24
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+ [2025-10-29 06:15:22] (step=0002800) Train Loss: 0.6096, Train Steps/Sec: 1.24
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+ [2025-10-29 06:16:43] (step=0002900) Train Loss: 0.6065, Train Steps/Sec: 1.24
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+ [2025-10-29 06:18:03] (step=0003000) Train Loss: 0.6031, Train Steps/Sec: 1.24
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+ [2025-10-29 06:19:24] (step=0003100) Train Loss: 0.6027, Train Steps/Sec: 1.24
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+ [2025-10-29 06:20:45] (step=0003200) Train Loss: 0.6002, Train Steps/Sec: 1.24
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+ [2025-10-29 06:22:05] (step=0003300) Train Loss: 0.5983, Train Steps/Sec: 1.24
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+ [2025-10-29 06:23:26] (step=0003400) Train Loss: 0.5953, Train Steps/Sec: 1.24
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+ [2025-10-29 06:24:47] (step=0003500) Train Loss: 0.5952, Train Steps/Sec: 1.24
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+ [2025-10-29 06:26:08] (step=0003600) Train Loss: 0.5926, Train Steps/Sec: 1.24
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+ [2025-10-29 06:27:28] (step=0003700) Train Loss: 0.5909, Train Steps/Sec: 1.24
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+ [2025-10-29 06:28:12] Beginning epoch 3...
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+ [2025-10-29 06:28:51] (step=0003800) Train Loss: 0.5897, Train Steps/Sec: 1.20
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+ [2025-10-29 06:30:12] (step=0003900) Train Loss: 0.5872, Train Steps/Sec: 1.24
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+ [2025-10-29 06:31:33] (step=0004000) Train Loss: 0.5865, Train Steps/Sec: 1.24
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+ [2025-10-29 06:32:53] (step=0004100) Train Loss: 0.5865, Train Steps/Sec: 1.24
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+ [2025-10-29 06:34:14] (step=0004200) Train Loss: 0.5842, Train Steps/Sec: 1.24
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+ [2025-10-29 06:35:35] (step=0004300) Train Loss: 0.5824, Train Steps/Sec: 1.23
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+ [2025-10-29 06:36:56] (step=0004400) Train Loss: 0.5808, Train Steps/Sec: 1.24
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+ [2025-10-29 06:38:17] (step=0004500) Train Loss: 0.5804, Train Steps/Sec: 1.24
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+ [2025-10-29 06:39:37] (step=0004600) Train Loss: 0.5791, Train Steps/Sec: 1.24
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+ [2025-10-29 06:40:58] (step=0004700) Train Loss: 0.5782, Train Steps/Sec: 1.24
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+ [2025-10-29 06:42:19] (step=0004800) Train Loss: 0.5766, Train Steps/Sec: 1.24
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+ [2025-10-29 06:43:40] (step=0004900) Train Loss: 0.5752, Train Steps/Sec: 1.24
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+ [2025-10-29 06:45:00] (step=0005000) Train Loss: 0.5752, Train Steps/Sec: 1.24
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+ [2025-10-29 06:45:04] Beginning epoch 4...
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+ [2025-10-29 06:46:23] (step=0005100) Train Loss: 0.5731, Train Steps/Sec: 1.21
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+ [2025-10-29 06:47:44] (step=0005200) Train Loss: 0.5728, Train Steps/Sec: 1.24
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+ [2025-10-29 06:49:05] (step=0005300) Train Loss: 0.5723, Train Steps/Sec: 1.24
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+ [2025-10-29 06:50:25] (step=0005400) Train Loss: 0.5700, Train Steps/Sec: 1.24
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+ [2025-10-29 06:51:46] (step=0005500) Train Loss: 0.5695, Train Steps/Sec: 1.24
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+ [2025-10-29 06:53:07] (step=0005600) Train Loss: 0.5686, Train Steps/Sec: 1.24
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+ [2025-10-29 06:54:27] (step=0005700) Train Loss: 0.5670, Train Steps/Sec: 1.24
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+ [2025-10-29 06:55:48] (step=0005800) Train Loss: 0.5684, Train Steps/Sec: 1.24
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+ [2025-10-29 06:57:09] (step=0005900) Train Loss: 0.5663, Train Steps/Sec: 1.24
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+ [2025-10-29 06:58:30] (step=0006000) Train Loss: 0.5658, Train Steps/Sec: 1.23
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+ [2025-10-29 06:59:51] (step=0006100) Train Loss: 0.5650, Train Steps/Sec: 1.24
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+ [2025-10-29 07:01:11] (step=0006200) Train Loss: 0.5642, Train Steps/Sec: 1.24
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+ [2025-10-29 07:01:56] Beginning epoch 5...
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+ [2025-10-29 07:02:35] (step=0006300) Train Loss: 0.5636, Train Steps/Sec: 1.20
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+ [2025-10-29 07:03:55] (step=0006400) Train Loss: 0.5617, Train Steps/Sec: 1.24
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+ [2025-10-29 07:05:16] (step=0006500) Train Loss: 0.5601, Train Steps/Sec: 1.24
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+ [2025-10-29 07:06:37] (step=0006600) Train Loss: 0.5609, Train Steps/Sec: 1.24
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+ [2025-10-29 07:07:57] (step=0006700) Train Loss: 0.5600, Train Steps/Sec: 1.24
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+ [2025-10-29 07:09:18] (step=0006800) Train Loss: 0.5588, Train Steps/Sec: 1.24
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+ [2025-10-29 07:10:39] (step=0006900) Train Loss: 0.5591, Train Steps/Sec: 1.24
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+ [2025-10-29 07:11:59] (step=0007000) Train Loss: 0.5591, Train Steps/Sec: 1.24
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+ [2025-10-29 07:13:20] (step=0007100) Train Loss: 0.5578, Train Steps/Sec: 1.24
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+ [2025-10-29 07:14:41] (step=0007200) Train Loss: 0.5574, Train Steps/Sec: 1.24
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+ [2025-10-29 07:16:02] (step=0007300) Train Loss: 0.5549, Train Steps/Sec: 1.24
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+ [2025-10-29 07:17:22] (step=0007400) Train Loss: 0.5566, Train Steps/Sec: 1.24
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+ [2025-10-29 07:18:43] (step=0007500) Train Loss: 0.5547, Train Steps/Sec: 1.24
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+ [2025-10-29 07:18:48] Beginning epoch 6...
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+ [2025-10-29 07:20:06] (step=0007600) Train Loss: 0.5547, Train Steps/Sec: 1.20
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+ [2025-10-29 07:21:28] (step=0007700) Train Loss: 0.5538, Train Steps/Sec: 1.23
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+ [2025-10-29 07:22:48] (step=0007800) Train Loss: 0.5537, Train Steps/Sec: 1.24
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+ [2025-10-29 07:24:09] (step=0007900) Train Loss: 0.5538, Train Steps/Sec: 1.24
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+ [2025-10-29 07:25:30] (step=0008000) Train Loss: 0.5524, Train Steps/Sec: 1.24
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+ [2025-10-29 07:26:51] (step=0008100) Train Loss: 0.5516, Train Steps/Sec: 1.24
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+ [2025-10-29 07:28:11] (step=0008200) Train Loss: 0.5504, Train Steps/Sec: 1.24
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+ [2025-10-29 07:29:32] (step=0008300) Train Loss: 0.5505, Train Steps/Sec: 1.24
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+ [2025-10-29 07:30:53] (step=0008400) Train Loss: 0.5493, Train Steps/Sec: 1.24
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+ [2025-10-29 07:32:13] (step=0008500) Train Loss: 0.5492, Train Steps/Sec: 1.24
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+ [2025-10-29 07:33:34] (step=0008600) Train Loss: 0.5493, Train Steps/Sec: 1.24
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+ [2025-10-29 07:34:55] (step=0008700) Train Loss: 0.5496, Train Steps/Sec: 1.24
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+ [2025-10-29 07:35:41] Beginning epoch 7...
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+ [2025-10-29 07:36:18] (step=0008800) Train Loss: 0.5484, Train Steps/Sec: 1.20
109
+ [2025-10-29 07:37:39] (step=0008900) Train Loss: 0.5473, Train Steps/Sec: 1.24
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+ [2025-10-29 07:38:59] (step=0009000) Train Loss: 0.5460, Train Steps/Sec: 1.24
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+ [2025-10-29 07:40:20] (step=0009100) Train Loss: 0.5468, Train Steps/Sec: 1.24
112
+ [2025-10-29 07:41:41] (step=0009200) Train Loss: 0.5471, Train Steps/Sec: 1.24
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+ [2025-10-29 07:43:02] (step=0009300) Train Loss: 0.5462, Train Steps/Sec: 1.23
114
+ [2025-10-29 07:44:23] (step=0009400) Train Loss: 0.5463, Train Steps/Sec: 1.23
115
+ [2025-10-29 07:45:44] (step=0009500) Train Loss: 0.5444, Train Steps/Sec: 1.24
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+ [2025-10-29 07:47:05] (step=0009600) Train Loss: 0.5439, Train Steps/Sec: 1.24
117
+ [2025-10-29 07:48:25] (step=0009700) Train Loss: 0.5447, Train Steps/Sec: 1.24
118
+ [2025-10-29 07:49:46] (step=0009800) Train Loss: 0.5435, Train Steps/Sec: 1.24
119
+ [2025-10-29 07:51:07] (step=0009900) Train Loss: 0.5439, Train Steps/Sec: 1.24
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+ [2025-10-29 07:52:27] (step=0010000) Train Loss: 0.5426, Train Steps/Sec: 1.24
121
+ [2025-10-29 07:52:34] Beginning epoch 8...
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+ [2025-10-29 07:53:50] (step=0010100) Train Loss: 0.5417, Train Steps/Sec: 1.21
123
+ [2025-10-29 07:55:11] (step=0010200) Train Loss: 0.5415, Train Steps/Sec: 1.24
124
+ [2025-10-29 07:56:32] (step=0010300) Train Loss: 0.5405, Train Steps/Sec: 1.24
125
+ [2025-10-29 07:57:52] (step=0010400) Train Loss: 0.5415, Train Steps/Sec: 1.24
126
+ [2025-10-29 07:59:13] (step=0010500) Train Loss: 0.5399, Train Steps/Sec: 1.24
127
+ [2025-10-29 08:00:34] (step=0010600) Train Loss: 0.5401, Train Steps/Sec: 1.24
128
+ [2025-10-29 08:01:55] (step=0010700) Train Loss: 0.5386, Train Steps/Sec: 1.24
129
+ [2025-10-29 08:03:15] (step=0010800) Train Loss: 0.5396, Train Steps/Sec: 1.24
130
+ [2025-10-29 08:04:36] (step=0010900) Train Loss: 0.5394, Train Steps/Sec: 1.24
131
+ [2025-10-29 08:05:58] (step=0011000) Train Loss: 0.5381, Train Steps/Sec: 1.23
132
+ [2025-10-29 08:07:18] (step=0011100) Train Loss: 0.5389, Train Steps/Sec: 1.24
133
+ [2025-10-29 08:08:39] (step=0011200) Train Loss: 0.5391, Train Steps/Sec: 1.24
134
+ [2025-10-29 08:09:27] Beginning epoch 9...
135
+ [2025-10-29 08:10:02] (step=0011300) Train Loss: 0.5372, Train Steps/Sec: 1.20
136
+ [2025-10-29 08:11:23] (step=0011400) Train Loss: 0.5380, Train Steps/Sec: 1.24
137
+ [2025-10-29 08:12:44] (step=0011500) Train Loss: 0.5365, Train Steps/Sec: 1.24
138
+ [2025-10-29 08:14:04] (step=0011600) Train Loss: 0.5358, Train Steps/Sec: 1.24
139
+ [2025-10-29 08:15:25] (step=0011700) Train Loss: 0.5369, Train Steps/Sec: 1.24
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+ [2025-10-29 08:16:46] (step=0011800) Train Loss: 0.5358, Train Steps/Sec: 1.24
141
+ [2025-10-29 08:18:06] (step=0011900) Train Loss: 0.5360, Train Steps/Sec: 1.24
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+ [2025-10-29 08:19:27] (step=0012000) Train Loss: 0.5345, Train Steps/Sec: 1.24
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+ [2025-10-29 08:20:48] (step=0012100) Train Loss: 0.5347, Train Steps/Sec: 1.24
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+ [2025-10-29 08:22:09] (step=0012200) Train Loss: 0.5348, Train Steps/Sec: 1.24
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+ [2025-10-29 08:23:29] (step=0012300) Train Loss: 0.5329, Train Steps/Sec: 1.24
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+ [2025-10-29 08:24:50] (step=0012400) Train Loss: 0.5334, Train Steps/Sec: 1.24
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+ [2025-10-29 08:26:11] (step=0012500) Train Loss: 0.5334, Train Steps/Sec: 1.24
148
+ [2025-10-29 08:26:19] Beginning epoch 10...
149
+ [2025-10-29 08:27:34] (step=0012600) Train Loss: 0.5321, Train Steps/Sec: 1.20
150
+ [2025-10-29 08:28:55] (step=0012700) Train Loss: 0.5326, Train Steps/Sec: 1.23
151
+ [2025-10-29 08:30:16] (step=0012800) Train Loss: 0.5328, Train Steps/Sec: 1.24
152
+ [2025-10-29 08:31:37] (step=0012900) Train Loss: 0.5322, Train Steps/Sec: 1.24
153
+ [2025-10-29 08:32:57] (step=0013000) Train Loss: 0.5311, Train Steps/Sec: 1.24
154
+ [2025-10-29 08:34:18] (step=0013100) Train Loss: 0.5316, Train Steps/Sec: 1.24
155
+ [2025-10-29 08:35:39] (step=0013200) Train Loss: 0.5315, Train Steps/Sec: 1.24
156
+ [2025-10-29 08:36:59] (step=0013300) Train Loss: 0.5320, Train Steps/Sec: 1.24
157
+ [2025-10-29 08:38:20] (step=0013400) Train Loss: 0.5307, Train Steps/Sec: 1.24
158
+ [2025-10-29 08:39:41] (step=0013500) Train Loss: 0.5301, Train Steps/Sec: 1.24
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+ [2025-10-29 08:41:02] (step=0013600) Train Loss: 0.5290, Train Steps/Sec: 1.24
160
+ [2025-10-29 08:42:22] (step=0013700) Train Loss: 0.5299, Train Steps/Sec: 1.24
161
+ [2025-10-29 08:43:12] Beginning epoch 11...
162
+ [2025-10-29 08:43:45] (step=0013800) Train Loss: 0.5288, Train Steps/Sec: 1.21
163
+ [2025-10-29 08:45:06] (step=0013900) Train Loss: 0.5289, Train Steps/Sec: 1.24
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+ [2025-10-29 08:46:26] (step=0014000) Train Loss: 0.5277, Train Steps/Sec: 1.24
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+ [2025-10-29 08:47:47] (step=0014100) Train Loss: 0.5288, Train Steps/Sec: 1.24
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+ [2025-10-29 08:49:08] (step=0014200) Train Loss: 0.5289, Train Steps/Sec: 1.24
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+ [2025-10-29 08:50:28] (step=0014300) Train Loss: 0.5272, Train Steps/Sec: 1.24
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+ [2025-10-29 08:51:50] (step=0014400) Train Loss: 0.5271, Train Steps/Sec: 1.23
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+ [2025-10-29 08:53:10] (step=0014500) Train Loss: 0.5260, Train Steps/Sec: 1.24
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+ [2025-10-29 08:54:31] (step=0014600) Train Loss: 0.5267, Train Steps/Sec: 1.24
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+ [2025-10-29 08:55:52] (step=0014700) Train Loss: 0.5279, Train Steps/Sec: 1.24
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+ [2025-10-29 08:57:12] (step=0014800) Train Loss: 0.5260, Train Steps/Sec: 1.24
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+ [2025-10-29 08:58:33] (step=0014900) Train Loss: 0.5250, Train Steps/Sec: 1.24
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+ [2025-10-29 08:59:54] (step=0015000) Train Loss: 0.5270, Train Steps/Sec: 1.24
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+ [2025-10-29 09:00:04] Beginning epoch 12...
176
+ [2025-10-29 09:01:17] (step=0015100) Train Loss: 0.5254, Train Steps/Sec: 1.20
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+ [2025-10-29 09:02:38] (step=0015200) Train Loss: 0.5235, Train Steps/Sec: 1.24
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+ [2025-10-29 09:03:58] (step=0015300) Train Loss: 0.5258, Train Steps/Sec: 1.24
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+ [2025-10-29 09:05:19] (step=0015400) Train Loss: 0.5250, Train Steps/Sec: 1.24
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+ [2025-10-29 09:06:40] (step=0015500) Train Loss: 0.5249, Train Steps/Sec: 1.24
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+ [2025-10-29 09:08:00] (step=0015600) Train Loss: 0.5241, Train Steps/Sec: 1.24
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+ [2025-10-29 09:09:21] (step=0015700) Train Loss: 0.5236, Train Steps/Sec: 1.24
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+ [2025-10-29 09:10:41] (step=0015800) Train Loss: 0.5243, Train Steps/Sec: 1.24
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+ [2025-10-29 09:12:02] (step=0015900) Train Loss: 0.5236, Train Steps/Sec: 1.24
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+ [2025-10-29 09:13:23] (step=0016000) Train Loss: 0.5236, Train Steps/Sec: 1.23
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+ [2025-10-29 09:14:44] (step=0016100) Train Loss: 0.5242, Train Steps/Sec: 1.24
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+ [2025-10-29 09:16:05] (step=0016200) Train Loss: 0.5234, Train Steps/Sec: 1.24
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+ [2025-10-29 09:16:56] Beginning epoch 13...
189
+ [2025-10-29 09:17:28] (step=0016300) Train Loss: 0.5214, Train Steps/Sec: 1.20
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+ [2025-10-29 09:18:49] (step=0016400) Train Loss: 0.5216, Train Steps/Sec: 1.24
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+ [2025-10-29 09:20:09] (step=0016500) Train Loss: 0.5206, Train Steps/Sec: 1.24
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+ [2025-10-29 09:21:30] (step=0016600) Train Loss: 0.5212, Train Steps/Sec: 1.24
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+ [2025-10-29 09:22:51] (step=0016700) Train Loss: 0.5227, Train Steps/Sec: 1.24
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+ [2025-10-29 09:24:11] (step=0016800) Train Loss: 0.5215, Train Steps/Sec: 1.24
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+ [2025-10-29 09:25:32] (step=0016900) Train Loss: 0.5210, Train Steps/Sec: 1.24
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+ [2025-10-29 09:26:53] (step=0017000) Train Loss: 0.5197, Train Steps/Sec: 1.24
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+ [2025-10-29 09:28:13] (step=0017100) Train Loss: 0.5215, Train Steps/Sec: 1.24
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+ [2025-10-29 09:29:34] (step=0017200) Train Loss: 0.5207, Train Steps/Sec: 1.24
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+ [2025-10-29 09:30:55] (step=0017300) Train Loss: 0.5196, Train Steps/Sec: 1.24
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+ [2025-10-29 09:32:15] (step=0017400) Train Loss: 0.5195, Train Steps/Sec: 1.24
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+ [2025-10-29 09:33:36] (step=0017500) Train Loss: 0.5203, Train Steps/Sec: 1.24
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+ [2025-10-29 09:33:48] Beginning epoch 14...
203
+ [2025-10-29 09:34:59] (step=0017600) Train Loss: 0.5180, Train Steps/Sec: 1.20
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+ [2025-10-29 09:36:21] (step=0017700) Train Loss: 0.5177, Train Steps/Sec: 1.23
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+ [2025-10-29 09:37:41] (step=0017800) Train Loss: 0.5177, Train Steps/Sec: 1.24
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+ [2025-10-29 09:39:02] (step=0017900) Train Loss: 0.5189, Train Steps/Sec: 1.24
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+ [2025-10-29 09:40:23] (step=0018000) Train Loss: 0.5192, Train Steps/Sec: 1.24
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+ [2025-10-29 09:41:43] (step=0018100) Train Loss: 0.5172, Train Steps/Sec: 1.24
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+ [2025-10-29 09:43:04] (step=0018200) Train Loss: 0.5174, Train Steps/Sec: 1.24
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+ [2025-10-29 09:44:25] (step=0018300) Train Loss: 0.5178, Train Steps/Sec: 1.24
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+ [2025-10-29 09:45:45] (step=0018400) Train Loss: 0.5176, Train Steps/Sec: 1.24
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+ [2025-10-29 09:47:06] (step=0018500) Train Loss: 0.5170, Train Steps/Sec: 1.24
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+ [2025-10-29 09:48:27] (step=0018600) Train Loss: 0.5177, Train Steps/Sec: 1.24
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+ [2025-10-29 09:49:47] (step=0018700) Train Loss: 0.5170, Train Steps/Sec: 1.24
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+ [2025-10-29 09:50:40] Beginning epoch 15...
216
+ [2025-10-29 09:51:11] (step=0018800) Train Loss: 0.5169, Train Steps/Sec: 1.20
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+ [2025-10-29 09:52:31] (step=0018900) Train Loss: 0.5158, Train Steps/Sec: 1.24
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+ [2025-10-29 09:53:52] (step=0019000) Train Loss: 0.5138, Train Steps/Sec: 1.24
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+ [2025-10-29 09:55:13] (step=0019100) Train Loss: 0.5151, Train Steps/Sec: 1.24
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+ [2025-10-29 09:56:34] (step=0019200) Train Loss: 0.5151, Train Steps/Sec: 1.24
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+ [2025-10-29 09:57:54] (step=0019300) Train Loss: 0.5155, Train Steps/Sec: 1.24
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+ [2025-10-29 09:59:16] (step=0019400) Train Loss: 0.5156, Train Steps/Sec: 1.23
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+ [2025-10-29 10:00:36] (step=0019500) Train Loss: 0.5152, Train Steps/Sec: 1.24
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+ [2025-10-29 10:01:57] (step=0019600) Train Loss: 0.5160, Train Steps/Sec: 1.24
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+ [2025-10-29 10:03:18] (step=0019700) Train Loss: 0.5146, Train Steps/Sec: 1.24
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+ [2025-10-29 10:04:38] (step=0019800) Train Loss: 0.5141, Train Steps/Sec: 1.24
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+ [2025-10-29 10:05:59] (step=0019900) Train Loss: 0.5139, Train Steps/Sec: 1.24
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+ [2025-10-29 10:07:20] (step=0020000) Train Loss: 0.5142, Train Steps/Sec: 1.24
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+ [2025-10-29 10:07:33] Beginning epoch 16...
230
+ [2025-10-29 10:08:43] (step=0020100) Train Loss: 0.5137, Train Steps/Sec: 1.20
231
+ [2025-10-29 10:10:04] (step=0020200) Train Loss: 0.5133, Train Steps/Sec: 1.24
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+ [2025-10-29 10:11:24] (step=0020300) Train Loss: 0.5139, Train Steps/Sec: 1.24
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+ [2025-10-29 10:12:45] (step=0020400) Train Loss: 0.5136, Train Steps/Sec: 1.24
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+ [2025-10-29 10:14:06] (step=0020500) Train Loss: 0.5129, Train Steps/Sec: 1.24
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+ [2025-10-29 10:15:26] (step=0020600) Train Loss: 0.5107, Train Steps/Sec: 1.24
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+ [2025-10-29 10:16:47] (step=0020700) Train Loss: 0.5119, Train Steps/Sec: 1.24
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+ [2025-10-29 10:18:08] (step=0020800) Train Loss: 0.5129, Train Steps/Sec: 1.24
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+ [2025-10-29 10:19:28] (step=0020900) Train Loss: 0.5115, Train Steps/Sec: 1.24
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+ [2025-10-29 10:20:49] (step=0021000) Train Loss: 0.5128, Train Steps/Sec: 1.24
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+ [2025-10-29 10:22:11] (step=0021100) Train Loss: 0.5117, Train Steps/Sec: 1.23
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+ [2025-10-29 10:23:31] (step=0021200) Train Loss: 0.5112, Train Steps/Sec: 1.24
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+ [2025-10-29 10:24:26] Beginning epoch 17...
243
+ [2025-10-29 10:24:54] (step=0021300) Train Loss: 0.5115, Train Steps/Sec: 1.21
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+ [2025-10-29 10:26:15] (step=0021400) Train Loss: 0.5117, Train Steps/Sec: 1.24
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+ [2025-10-29 10:27:35] (step=0021500) Train Loss: 0.5101, Train Steps/Sec: 1.24
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+ [2025-10-29 10:28:56] (step=0021600) Train Loss: 0.5106, Train Steps/Sec: 1.24
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+ [2025-10-29 10:30:17] (step=0021700) Train Loss: 0.5116, Train Steps/Sec: 1.24
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+ [2025-10-29 10:31:37] (step=0021800) Train Loss: 0.5101, Train Steps/Sec: 1.24
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+ [2025-10-29 10:32:58] (step=0021900) Train Loss: 0.5098, Train Steps/Sec: 1.24
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+ [2025-10-29 10:34:19] (step=0022000) Train Loss: 0.5099, Train Steps/Sec: 1.24
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+ [2025-10-29 10:35:40] (step=0022100) Train Loss: 0.5094, Train Steps/Sec: 1.24
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+ [2025-10-29 10:37:00] (step=0022200) Train Loss: 0.5096, Train Steps/Sec: 1.24
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+ [2025-10-29 10:38:21] (step=0022300) Train Loss: 0.5109, Train Steps/Sec: 1.24
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+ [2025-10-29 10:39:42] (step=0022400) Train Loss: 0.5094, Train Steps/Sec: 1.24
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+ [2025-10-29 10:41:02] (step=0022500) Train Loss: 0.5084, Train Steps/Sec: 1.24
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+ [2025-10-29 10:41:17] Beginning epoch 18...
257
+ [2025-10-29 10:42:25] (step=0022600) Train Loss: 0.5085, Train Steps/Sec: 1.20
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+ [2025-10-29 10:43:47] (step=0022700) Train Loss: 0.5072, Train Steps/Sec: 1.23
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+ [2025-10-29 10:45:08] (step=0022800) Train Loss: 0.5090, Train Steps/Sec: 1.24
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+ [2025-10-29 10:46:28] (step=0022900) Train Loss: 0.5082, Train Steps/Sec: 1.24
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+ [2025-10-29 10:47:49] (step=0023000) Train Loss: 0.5073, Train Steps/Sec: 1.24
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+ [2025-10-29 10:49:10] (step=0023100) Train Loss: 0.5082, Train Steps/Sec: 1.24
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+ [2025-10-29 10:50:30] (step=0023200) Train Loss: 0.5068, Train Steps/Sec: 1.24
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+ [2025-10-29 10:51:51] (step=0023300) Train Loss: 0.5078, Train Steps/Sec: 1.24
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+ [2025-10-29 10:53:12] (step=0023400) Train Loss: 0.5078, Train Steps/Sec: 1.24
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+ [2025-10-29 10:54:32] (step=0023500) Train Loss: 0.5066, Train Steps/Sec: 1.24
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+ [2025-10-29 10:55:53] (step=0023600) Train Loss: 0.5056, Train Steps/Sec: 1.24
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+ [2025-10-29 10:57:14] (step=0023700) Train Loss: 0.5072, Train Steps/Sec: 1.24
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+ [2025-10-29 10:58:10] Beginning epoch 19...
270
+ [2025-10-29 10:58:37] (step=0023800) Train Loss: 0.5067, Train Steps/Sec: 1.20
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+ [2025-10-29 10:59:58] (step=0023900) Train Loss: 0.5070, Train Steps/Sec: 1.24
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+ [2025-10-29 11:01:18] (step=0024000) Train Loss: 0.5066, Train Steps/Sec: 1.24
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+ [2025-10-29 11:02:39] (step=0024100) Train Loss: 0.5069, Train Steps/Sec: 1.24
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+ [2025-10-29 11:04:00] (step=0024200) Train Loss: 0.5052, Train Steps/Sec: 1.24
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+ [2025-10-29 11:05:20] (step=0024300) Train Loss: 0.5059, Train Steps/Sec: 1.24
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+ [2025-10-29 11:06:42] (step=0024400) Train Loss: 0.5049, Train Steps/Sec: 1.23
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+ [2025-10-29 11:08:02] (step=0024500) Train Loss: 0.5056, Train Steps/Sec: 1.24
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+ [2025-10-29 11:09:23] (step=0024600) Train Loss: 0.5055, Train Steps/Sec: 1.24
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+ [2025-10-29 11:10:44] (step=0024700) Train Loss: 0.5053, Train Steps/Sec: 1.24
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+ [2025-10-29 11:12:05] (step=0024800) Train Loss: 0.5060, Train Steps/Sec: 1.24
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+ [2025-10-29 11:13:25] (step=0024900) Train Loss: 0.5050, Train Steps/Sec: 1.24
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+ [2025-10-29 11:14:46] (step=0025000) Train Loss: 0.5049, Train Steps/Sec: 1.24
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+ [2025-10-29 11:15:42] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-b-bf16/checkpoints/0025000.pt
284
+ [2025-10-29 11:15:42] Generating EMA samples...
285
+ [2025-10-29 11:16:10] Generating EMA samples done.
286
+ [2025-10-29 11:16:27] Beginning epoch 20...
287
+ [2025-10-29 11:17:33] (step=0025100) Train Loss: 0.5038, Train Steps/Sec: 0.60
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+ [2025-10-29 11:18:54] (step=0025200) Train Loss: 0.5045, Train Steps/Sec: 1.24
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+ [2025-10-29 11:20:14] (step=0025300) Train Loss: 0.5058, Train Steps/Sec: 1.24
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+ [2025-10-29 11:21:35] (step=0025400) Train Loss: 0.5048, Train Steps/Sec: 1.24
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+ [2025-10-29 11:22:56] (step=0025500) Train Loss: 0.5043, Train Steps/Sec: 1.24
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+ [2025-10-29 11:24:17] (step=0025600) Train Loss: 0.5035, Train Steps/Sec: 1.24
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+ [2025-10-29 11:25:37] (step=0025700) Train Loss: 0.5034, Train Steps/Sec: 1.24
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+ [2025-10-29 11:26:58] (step=0025800) Train Loss: 0.5054, Train Steps/Sec: 1.24
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+ [2025-10-29 11:28:19] (step=0025900) Train Loss: 0.5040, Train Steps/Sec: 1.24
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+ [2025-10-29 11:29:39] (step=0026000) Train Loss: 0.5048, Train Steps/Sec: 1.24
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+ [2025-10-29 11:31:01] (step=0026100) Train Loss: 0.5038, Train Steps/Sec: 1.23
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+ [2025-10-29 11:32:21] (step=0026200) Train Loss: 0.5021, Train Steps/Sec: 1.24
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+ [2025-10-29 11:33:19] Beginning epoch 21...
300
+ [2025-10-29 11:33:44] (step=0026300) Train Loss: 0.5028, Train Steps/Sec: 1.21
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+ [2025-10-29 11:35:05] (step=0026400) Train Loss: 0.5022, Train Steps/Sec: 1.24
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+ [2025-10-29 11:36:26] (step=0026500) Train Loss: 0.5019, Train Steps/Sec: 1.24
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+ [2025-10-29 11:37:46] (step=0026600) Train Loss: 0.5037, Train Steps/Sec: 1.24
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+ [2025-10-29 11:39:07] (step=0026700) Train Loss: 0.5021, Train Steps/Sec: 1.24
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+ [2025-10-29 11:40:28] (step=0026800) Train Loss: 0.5019, Train Steps/Sec: 1.24
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+ [2025-10-29 11:41:48] (step=0026900) Train Loss: 0.5034, Train Steps/Sec: 1.24
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+ [2025-10-29 11:43:09] (step=0027000) Train Loss: 0.5037, Train Steps/Sec: 1.24
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+ [2025-10-29 11:44:30] (step=0027100) Train Loss: 0.5021, Train Steps/Sec: 1.24
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+ [2025-10-29 11:45:50] (step=0027200) Train Loss: 0.5024, Train Steps/Sec: 1.24
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+ [2025-10-29 11:47:11] (step=0027300) Train Loss: 0.5021, Train Steps/Sec: 1.24
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+ [2025-10-29 11:48:32] (step=0027400) Train Loss: 0.5023, Train Steps/Sec: 1.24
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+ [2025-10-29 11:49:52] (step=0027500) Train Loss: 0.5006, Train Steps/Sec: 1.24
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+ [2025-10-29 11:50:11] Beginning epoch 22...
314
+ [2025-10-29 11:51:15] (step=0027600) Train Loss: 0.5009, Train Steps/Sec: 1.20
315
+ [2025-10-29 11:52:37] (step=0027700) Train Loss: 0.4999, Train Steps/Sec: 1.23
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+ [2025-10-29 11:53:58] (step=0027800) Train Loss: 0.5012, Train Steps/Sec: 1.24
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+ [2025-10-29 11:55:18] (step=0027900) Train Loss: 0.5013, Train Steps/Sec: 1.24
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+ [2025-10-29 11:56:39] (step=0028000) Train Loss: 0.5012, Train Steps/Sec: 1.24
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+ [2025-10-29 11:58:00] (step=0028100) Train Loss: 0.4996, Train Steps/Sec: 1.24
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+ [2025-10-29 11:59:20] (step=0028200) Train Loss: 0.5017, Train Steps/Sec: 1.24
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+ [2025-10-29 12:00:41] (step=0028300) Train Loss: 0.5006, Train Steps/Sec: 1.24
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+ [2025-10-29 12:02:02] (step=0028400) Train Loss: 0.5006, Train Steps/Sec: 1.24
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+ [2025-10-29 12:03:22] (step=0028500) Train Loss: 0.5003, Train Steps/Sec: 1.24
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+ [2025-10-29 12:04:43] (step=0028600) Train Loss: 0.5009, Train Steps/Sec: 1.24
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+ [2025-10-29 12:06:04] (step=0028700) Train Loss: 0.5006, Train Steps/Sec: 1.24
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+ [2025-10-29 12:07:03] Beginning epoch 23...
327
+ [2025-10-29 12:07:27] (step=0028800) Train Loss: 0.4997, Train Steps/Sec: 1.20
328
+ [2025-10-29 12:08:48] (step=0028900) Train Loss: 0.4998, Train Steps/Sec: 1.24
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+ [2025-10-29 12:10:08] (step=0029000) Train Loss: 0.4995, Train Steps/Sec: 1.24
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+ [2025-10-29 12:11:29] (step=0029100) Train Loss: 0.5003, Train Steps/Sec: 1.24
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+ [2025-10-29 12:12:50] (step=0029200) Train Loss: 0.5004, Train Steps/Sec: 1.24
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+ [2025-10-29 12:14:10] (step=0029300) Train Loss: 0.4988, Train Steps/Sec: 1.24
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+ [2025-10-29 12:15:32] (step=0029400) Train Loss: 0.4975, Train Steps/Sec: 1.23
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+ [2025-10-29 12:16:52] (step=0029500) Train Loss: 0.4975, Train Steps/Sec: 1.24
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+ [2025-10-29 12:18:13] (step=0029600) Train Loss: 0.4993, Train Steps/Sec: 1.24
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+ [2025-10-29 12:19:34] (step=0029700) Train Loss: 0.4994, Train Steps/Sec: 1.24
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+ [2025-10-29 12:20:54] (step=0029800) Train Loss: 0.4992, Train Steps/Sec: 1.24
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+ [2025-10-29 12:22:15] (step=0029900) Train Loss: 0.4994, Train Steps/Sec: 1.24
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+ [2025-10-29 12:23:36] (step=0030000) Train Loss: 0.4990, Train Steps/Sec: 1.24
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+ [2025-10-29 12:23:56] Beginning epoch 24...
341
+ [2025-10-29 12:24:59] (step=0030100) Train Loss: 0.4989, Train Steps/Sec: 1.20
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+ [2025-10-29 12:26:20] (step=0030200) Train Loss: 0.4986, Train Steps/Sec: 1.24
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+ [2025-10-29 12:27:40] (step=0030300) Train Loss: 0.4992, Train Steps/Sec: 1.24
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+ [2025-10-29 12:29:01] (step=0030400) Train Loss: 0.4976, Train Steps/Sec: 1.24
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+ [2025-10-29 12:30:22] (step=0030500) Train Loss: 0.4966, Train Steps/Sec: 1.24
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+ [2025-10-29 12:31:43] (step=0030600) Train Loss: 0.4990, Train Steps/Sec: 1.24
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+ [2025-10-29 12:33:03] (step=0030700) Train Loss: 0.4982, Train Steps/Sec: 1.24
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+ [2025-10-29 12:34:24] (step=0030800) Train Loss: 0.4980, Train Steps/Sec: 1.24
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+ [2025-10-29 12:35:45] (step=0030900) Train Loss: 0.4980, Train Steps/Sec: 1.24
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+ [2025-10-29 12:37:05] (step=0031000) Train Loss: 0.4967, Train Steps/Sec: 1.24
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+ [2025-10-29 12:38:27] (step=0031100) Train Loss: 0.4978, Train Steps/Sec: 1.23
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+ [2025-10-29 12:39:47] (step=0031200) Train Loss: 0.4968, Train Steps/Sec: 1.24
353
+ [2025-10-29 12:40:48] Beginning epoch 25...
354
+ [2025-10-29 12:41:10] (step=0031300) Train Loss: 0.4969, Train Steps/Sec: 1.21
355
+ [2025-10-29 12:42:31] (step=0031400) Train Loss: 0.4975, Train Steps/Sec: 1.24
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+ [2025-10-29 12:43:52] (step=0031500) Train Loss: 0.4969, Train Steps/Sec: 1.24
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+ [2025-10-29 12:45:12] (step=0031600) Train Loss: 0.4968, Train Steps/Sec: 1.24
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+ [2025-10-29 12:46:33] (step=0031700) Train Loss: 0.4970, Train Steps/Sec: 1.24
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+ [2025-10-29 12:47:54] (step=0031800) Train Loss: 0.4962, Train Steps/Sec: 1.24
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+ [2025-10-29 12:49:14] (step=0031900) Train Loss: 0.4951, Train Steps/Sec: 1.24
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+ [2025-10-29 12:50:35] (step=0032000) Train Loss: 0.4959, Train Steps/Sec: 1.24
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+ [2025-10-29 12:51:56] (step=0032100) Train Loss: 0.4964, Train Steps/Sec: 1.24
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+ [2025-10-29 12:53:16] (step=0032200) Train Loss: 0.4973, Train Steps/Sec: 1.24
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+ [2025-10-29 12:54:37] (step=0032300) Train Loss: 0.4972, Train Steps/Sec: 1.24
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+ [2025-10-29 12:55:58] (step=0032400) Train Loss: 0.4959, Train Steps/Sec: 1.24
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+ [2025-10-29 12:57:18] (step=0032500) Train Loss: 0.4966, Train Steps/Sec: 1.24
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+ [2025-10-29 12:57:40] Beginning epoch 26...
368
+ [2025-10-29 12:58:42] (step=0032600) Train Loss: 0.4960, Train Steps/Sec: 1.20
369
+ [2025-10-29 13:00:03] (step=0032700) Train Loss: 0.4943, Train Steps/Sec: 1.24
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+ [2025-10-29 13:01:24] (step=0032800) Train Loss: 0.4948, Train Steps/Sec: 1.23
371
+ [2025-10-29 13:02:45] (step=0032900) Train Loss: 0.4941, Train Steps/Sec: 1.24
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+ [2025-10-29 13:04:05] (step=0033000) Train Loss: 0.4962, Train Steps/Sec: 1.24
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+ [2025-10-29 13:05:26] (step=0033100) Train Loss: 0.4958, Train Steps/Sec: 1.24
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+ [2025-10-29 13:06:47] (step=0033200) Train Loss: 0.4948, Train Steps/Sec: 1.24
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+ [2025-10-29 13:08:08] (step=0033300) Train Loss: 0.4953, Train Steps/Sec: 1.24
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+ [2025-10-29 13:09:28] (step=0033400) Train Loss: 0.4974, Train Steps/Sec: 1.24
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+ [2025-10-29 13:10:49] (step=0033500) Train Loss: 0.4958, Train Steps/Sec: 1.24
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+ [2025-10-29 13:12:10] (step=0033600) Train Loss: 0.4952, Train Steps/Sec: 1.24
379
+ [2025-10-29 13:13:30] (step=0033700) Train Loss: 0.4935, Train Steps/Sec: 1.24
380
+ [2025-10-29 13:14:33] Beginning epoch 27...
381
+ [2025-10-29 13:14:53] (step=0033800) Train Loss: 0.4944, Train Steps/Sec: 1.20
382
+ [2025-10-29 13:16:14] (step=0033900) Train Loss: 0.4947, Train Steps/Sec: 1.24
383
+ [2025-10-29 13:17:35] (step=0034000) Train Loss: 0.4940, Train Steps/Sec: 1.24
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+ [2025-10-29 13:18:55] (step=0034100) Train Loss: 0.4942, Train Steps/Sec: 1.24
385
+ [2025-10-29 13:20:16] (step=0034200) Train Loss: 0.4949, Train Steps/Sec: 1.24
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+ [2025-10-29 13:21:37] (step=0034300) Train Loss: 0.4935, Train Steps/Sec: 1.24
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+ [2025-10-29 13:22:58] (step=0034400) Train Loss: 0.4933, Train Steps/Sec: 1.23
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+ [2025-10-29 13:24:19] (step=0034500) Train Loss: 0.4930, Train Steps/Sec: 1.24
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+ [2025-10-29 13:25:40] (step=0034600) Train Loss: 0.4945, Train Steps/Sec: 1.24
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+ [2025-10-29 13:27:00] (step=0034700) Train Loss: 0.4944, Train Steps/Sec: 1.24
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+ [2025-10-29 13:28:21] (step=0034800) Train Loss: 0.4941, Train Steps/Sec: 1.24
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+ [2025-10-29 13:29:42] (step=0034900) Train Loss: 0.4935, Train Steps/Sec: 1.24
393
+ [2025-10-29 13:31:02] (step=0035000) Train Loss: 0.4937, Train Steps/Sec: 1.24
394
+ [2025-10-29 13:31:25] Beginning epoch 28...
395
+ [2025-10-29 13:32:25] (step=0035100) Train Loss: 0.4932, Train Steps/Sec: 1.20
396
+ [2025-10-29 13:33:46] (step=0035200) Train Loss: 0.4938, Train Steps/Sec: 1.24
397
+ [2025-10-29 13:35:07] (step=0035300) Train Loss: 0.4936, Train Steps/Sec: 1.24
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+ [2025-10-29 13:36:27] (step=0035400) Train Loss: 0.4942, Train Steps/Sec: 1.24
399
+ [2025-10-29 13:37:48] (step=0035500) Train Loss: 0.4920, Train Steps/Sec: 1.24
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+ [2025-10-29 13:39:09] (step=0035600) Train Loss: 0.4930, Train Steps/Sec: 1.24
401
+ [2025-10-29 13:40:29] (step=0035700) Train Loss: 0.4917, Train Steps/Sec: 1.24
402
+ [2025-10-29 13:41:50] (step=0035800) Train Loss: 0.4920, Train Steps/Sec: 1.24
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+ [2025-10-29 13:43:11] (step=0035900) Train Loss: 0.4937, Train Steps/Sec: 1.24
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+ [2025-10-29 13:44:32] (step=0036000) Train Loss: 0.4934, Train Steps/Sec: 1.24
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+ [2025-10-29 13:45:53] (step=0036100) Train Loss: 0.4927, Train Steps/Sec: 1.23
406
+ [2025-10-29 13:47:14] (step=0036200) Train Loss: 0.4930, Train Steps/Sec: 1.24
407
+ [2025-10-29 13:48:18] Beginning epoch 29...
408
+ [2025-10-29 13:48:37] (step=0036300) Train Loss: 0.4931, Train Steps/Sec: 1.20
409
+ [2025-10-29 13:49:58] (step=0036400) Train Loss: 0.4925, Train Steps/Sec: 1.24
410
+ [2025-10-29 13:51:18] (step=0036500) Train Loss: 0.4912, Train Steps/Sec: 1.24
411
+ [2025-10-29 13:52:39] (step=0036600) Train Loss: 0.4916, Train Steps/Sec: 1.24
412
+ [2025-10-29 13:54:00] (step=0036700) Train Loss: 0.4923, Train Steps/Sec: 1.24
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+ [2025-10-29 13:55:20] (step=0036800) Train Loss: 0.4931, Train Steps/Sec: 1.24
414
+ [2025-10-29 13:56:41] (step=0036900) Train Loss: 0.4926, Train Steps/Sec: 1.24
415
+ [2025-10-29 13:58:02] (step=0037000) Train Loss: 0.4924, Train Steps/Sec: 1.24
416
+ [2025-10-29 13:59:22] (step=0037100) Train Loss: 0.4919, Train Steps/Sec: 1.24
417
+ [2025-10-29 14:00:43] (step=0037200) Train Loss: 0.4913, Train Steps/Sec: 1.24
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+ [2025-10-29 14:02:04] (step=0037300) Train Loss: 0.4921, Train Steps/Sec: 1.24
419
+ [2025-10-29 14:03:24] (step=0037400) Train Loss: 0.4905, Train Steps/Sec: 1.24
420
+ [2025-10-29 14:04:45] (step=0037500) Train Loss: 0.4914, Train Steps/Sec: 1.24
421
+ [2025-10-29 14:05:10] Beginning epoch 30...
422
+ [2025-10-29 14:06:08] (step=0037600) Train Loss: 0.4913, Train Steps/Sec: 1.20
423
+ [2025-10-29 14:07:29] (step=0037700) Train Loss: 0.4921, Train Steps/Sec: 1.24
424
+ [2025-10-29 14:08:50] (step=0037800) Train Loss: 0.4923, Train Steps/Sec: 1.23
425
+ [2025-10-29 14:10:11] (step=0037900) Train Loss: 0.4914, Train Steps/Sec: 1.24
426
+ [2025-10-29 14:11:32] (step=0038000) Train Loss: 0.4913, Train Steps/Sec: 1.24
427
+ [2025-10-29 14:12:52] (step=0038100) Train Loss: 0.4914, Train Steps/Sec: 1.24
428
+ [2025-10-29 14:14:13] (step=0038200) Train Loss: 0.4917, Train Steps/Sec: 1.24
429
+ [2025-10-29 14:15:34] (step=0038300) Train Loss: 0.4915, Train Steps/Sec: 1.24
430
+ [2025-10-29 14:16:54] (step=0038400) Train Loss: 0.4909, Train Steps/Sec: 1.24
431
+ [2025-10-29 14:18:15] (step=0038500) Train Loss: 0.4909, Train Steps/Sec: 1.24
432
+ [2025-10-29 14:19:36] (step=0038600) Train Loss: 0.4893, Train Steps/Sec: 1.24
433
+ [2025-10-29 14:20:57] (step=0038700) Train Loss: 0.4919, Train Steps/Sec: 1.24
434
+ [2025-10-29 14:22:02] Beginning epoch 31...
435
+ [2025-10-29 14:22:20] (step=0038800) Train Loss: 0.4919, Train Steps/Sec: 1.20
436
+ [2025-10-29 14:23:41] (step=0038900) Train Loss: 0.4913, Train Steps/Sec: 1.24
437
+ [2025-10-29 14:25:01] (step=0039000) Train Loss: 0.4893, Train Steps/Sec: 1.24
438
+ [2025-10-29 14:26:22] (step=0039100) Train Loss: 0.4906, Train Steps/Sec: 1.24
439
+ [2025-10-29 14:27:43] (step=0039200) Train Loss: 0.4898, Train Steps/Sec: 1.24
440
+ [2025-10-29 14:29:03] (step=0039300) Train Loss: 0.4909, Train Steps/Sec: 1.24
441
+ [2025-10-29 14:30:24] (step=0039400) Train Loss: 0.4896, Train Steps/Sec: 1.24
442
+ [2025-10-29 14:31:46] (step=0039500) Train Loss: 0.4894, Train Steps/Sec: 1.23
443
+ [2025-10-29 14:33:06] (step=0039600) Train Loss: 0.4893, Train Steps/Sec: 1.24
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+ [2025-10-29 14:34:27] (step=0039700) Train Loss: 0.4906, Train Steps/Sec: 1.24
445
+ [2025-10-29 14:35:48] (step=0039800) Train Loss: 0.4898, Train Steps/Sec: 1.24
446
+ [2025-10-29 14:37:08] (step=0039900) Train Loss: 0.4913, Train Steps/Sec: 1.24
447
+ [2025-10-29 14:38:29] (step=0040000) Train Loss: 0.4897, Train Steps/Sec: 1.24
448
+ [2025-10-29 14:38:55] Beginning epoch 32...
449
+ [2025-10-29 14:39:52] (step=0040100) Train Loss: 0.4889, Train Steps/Sec: 1.20
450
+ [2025-10-29 14:41:13] (step=0040200) Train Loss: 0.4904, Train Steps/Sec: 1.24
451
+ [2025-10-29 14:42:34] (step=0040300) Train Loss: 0.4899, Train Steps/Sec: 1.24
452
+ [2025-10-29 14:43:54] (step=0040400) Train Loss: 0.4899, Train Steps/Sec: 1.24
453
+ [2025-10-29 14:45:15] (step=0040500) Train Loss: 0.4877, Train Steps/Sec: 1.24
454
+ [2025-10-29 14:46:36] (step=0040600) Train Loss: 0.4895, Train Steps/Sec: 1.24
455
+ [2025-10-29 14:47:57] (step=0040700) Train Loss: 0.4908, Train Steps/Sec: 1.24
456
+ [2025-10-29 14:49:17] (step=0040800) Train Loss: 0.4885, Train Steps/Sec: 1.24
457
+ [2025-10-29 14:50:38] (step=0040900) Train Loss: 0.4878, Train Steps/Sec: 1.24
458
+ [2025-10-29 14:51:59] (step=0041000) Train Loss: 0.4889, Train Steps/Sec: 1.24
459
+ [2025-10-29 14:53:20] (step=0041100) Train Loss: 0.4880, Train Steps/Sec: 1.23
460
+ [2025-10-29 14:54:41] (step=0041200) Train Loss: 0.4877, Train Steps/Sec: 1.24
461
+ [2025-10-29 14:55:49] Beginning epoch 33...
462
+ [2025-10-29 14:56:04] (step=0041300) Train Loss: 0.4887, Train Steps/Sec: 1.20
463
+ [2025-10-29 14:57:25] (step=0041400) Train Loss: 0.4882, Train Steps/Sec: 1.24
464
+ [2025-10-29 14:58:45] (step=0041500) Train Loss: 0.4877, Train Steps/Sec: 1.24
465
+ [2025-10-29 15:00:06] (step=0041600) Train Loss: 0.4887, Train Steps/Sec: 1.24
466
+ [2025-10-29 15:01:27] (step=0041700) Train Loss: 0.4874, Train Steps/Sec: 1.24
467
+ [2025-10-29 15:02:48] (step=0041800) Train Loss: 0.4876, Train Steps/Sec: 1.24
468
+ [2025-10-29 15:04:08] (step=0041900) Train Loss: 0.4896, Train Steps/Sec: 1.24
469
+ [2025-10-29 15:05:29] (step=0042000) Train Loss: 0.4876, Train Steps/Sec: 1.24
470
+ [2025-10-29 15:06:50] (step=0042100) Train Loss: 0.4886, Train Steps/Sec: 1.24
471
+ [2025-10-29 15:08:10] (step=0042200) Train Loss: 0.4876, Train Steps/Sec: 1.24
472
+ [2025-10-29 15:09:31] (step=0042300) Train Loss: 0.4879, Train Steps/Sec: 1.24
473
+ [2025-10-29 15:10:52] (step=0042400) Train Loss: 0.4870, Train Steps/Sec: 1.24
474
+ [2025-10-29 15:12:12] (step=0042500) Train Loss: 0.4865, Train Steps/Sec: 1.24
475
+ [2025-10-29 15:12:40] Beginning epoch 34...
476
+ [2025-10-29 15:13:36] (step=0042600) Train Loss: 0.4880, Train Steps/Sec: 1.20
477
+ [2025-10-29 15:14:56] (step=0042700) Train Loss: 0.4879, Train Steps/Sec: 1.24
478
+ [2025-10-29 15:16:18] (step=0042800) Train Loss: 0.4884, Train Steps/Sec: 1.23
479
+ [2025-10-29 15:17:39] (step=0042900) Train Loss: 0.4879, Train Steps/Sec: 1.24
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+ [2025-10-29 15:18:59] (step=0043000) Train Loss: 0.4883, Train Steps/Sec: 1.24
481
+ [2025-10-29 15:20:20] (step=0043100) Train Loss: 0.4860, Train Steps/Sec: 1.24
482
+ [2025-10-29 15:21:41] (step=0043200) Train Loss: 0.4882, Train Steps/Sec: 1.24
483
+ [2025-10-29 15:23:01] (step=0043300) Train Loss: 0.4874, Train Steps/Sec: 1.24
484
+ [2025-10-29 15:24:22] (step=0043400) Train Loss: 0.4880, Train Steps/Sec: 1.24
485
+ [2025-10-29 15:25:43] (step=0043500) Train Loss: 0.4873, Train Steps/Sec: 1.24
486
+ [2025-10-29 15:27:03] (step=0043600) Train Loss: 0.4873, Train Steps/Sec: 1.24
487
+ [2025-10-29 15:28:24] (step=0043700) Train Loss: 0.4871, Train Steps/Sec: 1.24
488
+ [2025-10-29 15:29:33] Beginning epoch 35...
489
+ [2025-10-29 15:29:47] (step=0043800) Train Loss: 0.4875, Train Steps/Sec: 1.21
490
+ [2025-10-29 15:31:08] (step=0043900) Train Loss: 0.4863, Train Steps/Sec: 1.24
491
+ [2025-10-29 15:32:28] (step=0044000) Train Loss: 0.4863, Train Steps/Sec: 1.24
492
+ [2025-10-29 15:33:49] (step=0044100) Train Loss: 0.4869, Train Steps/Sec: 1.24
493
+ [2025-10-29 15:35:10] (step=0044200) Train Loss: 0.4871, Train Steps/Sec: 1.24
494
+ [2025-10-29 15:36:30] (step=0044300) Train Loss: 0.4873, Train Steps/Sec: 1.24
495
+ [2025-10-29 15:37:51] (step=0044400) Train Loss: 0.4858, Train Steps/Sec: 1.24
496
+ [2025-10-29 15:39:13] (step=0044500) Train Loss: 0.4868, Train Steps/Sec: 1.23
497
+ [2025-10-29 15:40:33] (step=0044600) Train Loss: 0.4862, Train Steps/Sec: 1.24
498
+ [2025-10-29 15:41:54] (step=0044700) Train Loss: 0.4884, Train Steps/Sec: 1.24
499
+ [2025-10-29 15:43:15] (step=0044800) Train Loss: 0.4869, Train Steps/Sec: 1.24
500
+ [2025-10-29 15:44:35] (step=0044900) Train Loss: 0.4859, Train Steps/Sec: 1.24
501
+ [2025-10-29 15:45:56] (step=0045000) Train Loss: 0.4868, Train Steps/Sec: 1.24
502
+ [2025-10-29 15:46:25] Beginning epoch 36...
503
+ [2025-10-29 15:47:19] (step=0045100) Train Loss: 0.4871, Train Steps/Sec: 1.20
504
+ [2025-10-29 15:48:40] (step=0045200) Train Loss: 0.4859, Train Steps/Sec: 1.24
505
+ [2025-10-29 15:50:00] (step=0045300) Train Loss: 0.4849, Train Steps/Sec: 1.24
506
+ [2025-10-29 15:51:21] (step=0045400) Train Loss: 0.4870, Train Steps/Sec: 1.24
507
+ [2025-10-29 15:52:42] (step=0045500) Train Loss: 0.4867, Train Steps/Sec: 1.24
508
+ [2025-10-29 15:54:02] (step=0045600) Train Loss: 0.4856, Train Steps/Sec: 1.24
509
+ [2025-10-29 15:55:23] (step=0045700) Train Loss: 0.4862, Train Steps/Sec: 1.24
510
+ [2025-10-29 15:56:44] (step=0045800) Train Loss: 0.4862, Train Steps/Sec: 1.24
511
+ [2025-10-29 15:58:04] (step=0045900) Train Loss: 0.4847, Train Steps/Sec: 1.24
512
+ [2025-10-29 15:59:25] (step=0046000) Train Loss: 0.4847, Train Steps/Sec: 1.24
513
+ [2025-10-29 16:00:46] (step=0046100) Train Loss: 0.4846, Train Steps/Sec: 1.24
514
+ [2025-10-29 16:02:07] (step=0046200) Train Loss: 0.4867, Train Steps/Sec: 1.23
515
+ [2025-10-29 16:03:18] Beginning epoch 37...
516
+ [2025-10-29 16:03:30] (step=0046300) Train Loss: 0.4863, Train Steps/Sec: 1.20
517
+ [2025-10-29 16:04:51] (step=0046400) Train Loss: 0.4865, Train Steps/Sec: 1.24
518
+ [2025-10-29 16:06:12] (step=0046500) Train Loss: 0.4842, Train Steps/Sec: 1.24
519
+ [2025-10-29 16:07:32] (step=0046600) Train Loss: 0.4837, Train Steps/Sec: 1.24
520
+ [2025-10-29 16:08:53] (step=0046700) Train Loss: 0.4851, Train Steps/Sec: 1.24
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+ [2025-10-29 16:10:14] (step=0046800) Train Loss: 0.4851, Train Steps/Sec: 1.24
522
+ [2025-10-29 16:11:34] (step=0046900) Train Loss: 0.4855, Train Steps/Sec: 1.24
523
+ [2025-10-29 16:12:55] (step=0047000) Train Loss: 0.4844, Train Steps/Sec: 1.24
524
+ [2025-10-29 16:14:16] (step=0047100) Train Loss: 0.4851, Train Steps/Sec: 1.24
525
+ [2025-10-29 16:15:36] (step=0047200) Train Loss: 0.4860, Train Steps/Sec: 1.24
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+ [2025-10-29 16:16:57] (step=0047300) Train Loss: 0.4853, Train Steps/Sec: 1.24
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+ [2025-10-29 16:18:18] (step=0047400) Train Loss: 0.4852, Train Steps/Sec: 1.24
528
+ [2025-10-29 16:19:38] (step=0047500) Train Loss: 0.4855, Train Steps/Sec: 1.24
529
+ [2025-10-29 16:20:10] Beginning epoch 38...
530
+ [2025-10-29 16:21:01] (step=0047600) Train Loss: 0.4837, Train Steps/Sec: 1.21
531
+ [2025-10-29 16:22:22] (step=0047700) Train Loss: 0.4849, Train Steps/Sec: 1.24
532
+ [2025-10-29 16:23:44] (step=0047800) Train Loss: 0.4835, Train Steps/Sec: 1.23
533
+ [2025-10-29 16:25:04] (step=0047900) Train Loss: 0.4849, Train Steps/Sec: 1.24
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+ [2025-10-29 16:26:25] (step=0048000) Train Loss: 0.4848, Train Steps/Sec: 1.24
535
+ [2025-10-29 16:27:46] (step=0048100) Train Loss: 0.4859, Train Steps/Sec: 1.24
536
+ [2025-10-29 16:29:06] (step=0048200) Train Loss: 0.4864, Train Steps/Sec: 1.24
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+ [2025-10-29 16:30:27] (step=0048300) Train Loss: 0.4838, Train Steps/Sec: 1.24
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+ [2025-10-29 16:31:48] (step=0048400) Train Loss: 0.4855, Train Steps/Sec: 1.24
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+ [2025-10-29 16:33:08] (step=0048500) Train Loss: 0.4840, Train Steps/Sec: 1.24
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+ [2025-10-29 16:34:29] (step=0048600) Train Loss: 0.4845, Train Steps/Sec: 1.24
541
+ [2025-10-29 16:35:49] (step=0048700) Train Loss: 0.4851, Train Steps/Sec: 1.24
542
+ [2025-10-29 16:37:02] Beginning epoch 39...
543
+ [2025-10-29 16:37:13] (step=0048800) Train Loss: 0.4837, Train Steps/Sec: 1.20
544
+ [2025-10-29 16:38:34] (step=0048900) Train Loss: 0.4814, Train Steps/Sec: 1.24
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+ [2025-10-29 16:39:54] (step=0049000) Train Loss: 0.4831, Train Steps/Sec: 1.24
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+ [2025-10-29 16:41:15] (step=0049100) Train Loss: 0.4833, Train Steps/Sec: 1.24
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+ [2025-10-29 16:42:35] (step=0049200) Train Loss: 0.4848, Train Steps/Sec: 1.24
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+ [2025-10-29 16:43:56] (step=0049300) Train Loss: 0.4831, Train Steps/Sec: 1.24
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+ [2025-10-29 16:45:17] (step=0049400) Train Loss: 0.4837, Train Steps/Sec: 1.24
550
+ [2025-10-29 16:46:38] (step=0049500) Train Loss: 0.4832, Train Steps/Sec: 1.23
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+ [2025-10-29 16:47:59] (step=0049600) Train Loss: 0.4830, Train Steps/Sec: 1.24
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+ [2025-10-29 16:49:20] (step=0049700) Train Loss: 0.4837, Train Steps/Sec: 1.24
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+ [2025-10-29 16:50:40] (step=0049800) Train Loss: 0.4827, Train Steps/Sec: 1.24
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+ [2025-10-29 16:52:01] (step=0049900) Train Loss: 0.4833, Train Steps/Sec: 1.24
555
+ [2025-10-29 16:53:22] (step=0050000) Train Loss: 0.4846, Train Steps/Sec: 1.24
556
+ [2025-10-29 16:54:19] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-b-bf16/checkpoints/0050000.pt
557
+ [2025-10-29 16:54:19] Generating EMA samples...
558
+ [2025-10-29 16:54:47] Generating EMA samples done.
559
+ [2025-10-29 16:55:20] Beginning epoch 40...
560
+ [2025-10-29 16:56:10] (step=0050100) Train Loss: 0.4833, Train Steps/Sec: 0.60
561
+ [2025-10-29 16:57:30] (step=0050200) Train Loss: 0.4833, Train Steps/Sec: 1.24
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+ [2025-10-29 16:58:51] (step=0050300) Train Loss: 0.4835, Train Steps/Sec: 1.24
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+ [2025-10-29 17:00:12] (step=0050400) Train Loss: 0.4849, Train Steps/Sec: 1.24
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+ [2025-10-29 17:01:33] (step=0050500) Train Loss: 0.4835, Train Steps/Sec: 1.24
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+ [2025-10-29 17:02:53] (step=0050600) Train Loss: 0.4820, Train Steps/Sec: 1.24
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+ [2025-10-29 17:04:14] (step=0050700) Train Loss: 0.4831, Train Steps/Sec: 1.24
567
+ [2025-10-29 17:05:34] (step=0050800) Train Loss: 0.4844, Train Steps/Sec: 1.24
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+ [2025-10-29 17:06:55] (step=0050900) Train Loss: 0.4846, Train Steps/Sec: 1.24
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+ [2025-10-29 17:08:16] (step=0051000) Train Loss: 0.4835, Train Steps/Sec: 1.24
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+ [2025-10-29 17:09:36] (step=0051100) Train Loss: 0.4841, Train Steps/Sec: 1.24
571
+ [2025-10-29 17:10:58] (step=0051200) Train Loss: 0.4833, Train Steps/Sec: 1.22
572
+ [2025-10-29 17:12:12] Beginning epoch 41...
573
+ [2025-10-29 17:12:21] (step=0051300) Train Loss: 0.4823, Train Steps/Sec: 1.21
574
+ [2025-10-29 17:13:42] (step=0051400) Train Loss: 0.4824, Train Steps/Sec: 1.24
575
+ [2025-10-29 17:15:02] (step=0051500) Train Loss: 0.4825, Train Steps/Sec: 1.24
576
+ [2025-10-29 17:16:23] (step=0051600) Train Loss: 0.4830, Train Steps/Sec: 1.24
577
+ [2025-10-29 17:17:44] (step=0051700) Train Loss: 0.4824, Train Steps/Sec: 1.24
578
+ [2025-10-29 17:19:04] (step=0051800) Train Loss: 0.4834, Train Steps/Sec: 1.24
579
+ [2025-10-29 17:20:25] (step=0051900) Train Loss: 0.4823, Train Steps/Sec: 1.24
580
+ [2025-10-29 17:21:46] (step=0052000) Train Loss: 0.4824, Train Steps/Sec: 1.24
581
+ [2025-10-29 17:23:07] (step=0052100) Train Loss: 0.4827, Train Steps/Sec: 1.24
582
+ [2025-10-29 17:24:27] (step=0052200) Train Loss: 0.4831, Train Steps/Sec: 1.24
583
+ [2025-10-29 17:25:48] (step=0052300) Train Loss: 0.4828, Train Steps/Sec: 1.24
584
+ [2025-10-29 17:27:09] (step=0052400) Train Loss: 0.4825, Train Steps/Sec: 1.24
585
+ [2025-10-29 17:28:29] (step=0052500) Train Loss: 0.4824, Train Steps/Sec: 1.24
586
+ [2025-10-29 17:29:04] Beginning epoch 42...
587
+ [2025-10-29 17:29:53] (step=0052600) Train Loss: 0.4819, Train Steps/Sec: 1.20
588
+ [2025-10-29 17:31:13] (step=0052700) Train Loss: 0.4820, Train Steps/Sec: 1.24
589
+ [2025-10-29 17:32:35] (step=0052800) Train Loss: 0.4813, Train Steps/Sec: 1.23
590
+ [2025-10-29 17:33:55] (step=0052900) Train Loss: 0.4832, Train Steps/Sec: 1.24
591
+ [2025-10-29 17:35:16] (step=0053000) Train Loss: 0.4815, Train Steps/Sec: 1.24
592
+ [2025-10-29 17:36:37] (step=0053100) Train Loss: 0.4809, Train Steps/Sec: 1.24
593
+ [2025-10-29 17:37:58] (step=0053200) Train Loss: 0.4810, Train Steps/Sec: 1.24
594
+ [2025-10-29 17:39:18] (step=0053300) Train Loss: 0.4811, Train Steps/Sec: 1.24
595
+ [2025-10-29 17:40:39] (step=0053400) Train Loss: 0.4811, Train Steps/Sec: 1.24
596
+ [2025-10-29 17:42:00] (step=0053500) Train Loss: 0.4818, Train Steps/Sec: 1.24
597
+ [2025-10-29 17:43:21] (step=0053600) Train Loss: 0.4810, Train Steps/Sec: 1.24
598
+ [2025-10-29 17:44:41] (step=0053700) Train Loss: 0.4814, Train Steps/Sec: 1.24
599
+ [2025-10-29 17:45:57] Beginning epoch 43...
600
+ [2025-10-29 17:46:04] (step=0053800) Train Loss: 0.4813, Train Steps/Sec: 1.20
601
+ [2025-10-29 17:47:25] (step=0053900) Train Loss: 0.4805, Train Steps/Sec: 1.24
602
+ [2025-10-29 17:48:46] (step=0054000) Train Loss: 0.4819, Train Steps/Sec: 1.24
603
+ [2025-10-29 17:50:06] (step=0054100) Train Loss: 0.4825, Train Steps/Sec: 1.24
604
+ [2025-10-29 17:51:27] (step=0054200) Train Loss: 0.4810, Train Steps/Sec: 1.24
605
+ [2025-10-29 17:52:48] (step=0054300) Train Loss: 0.4813, Train Steps/Sec: 1.24
606
+ [2025-10-29 17:54:09] (step=0054400) Train Loss: 0.4820, Train Steps/Sec: 1.24
607
+ [2025-10-29 17:55:30] (step=0054500) Train Loss: 0.4812, Train Steps/Sec: 1.22
608
+ [2025-10-29 17:56:51] (step=0054600) Train Loss: 0.4811, Train Steps/Sec: 1.24
609
+ [2025-10-29 17:58:12] (step=0054700) Train Loss: 0.4808, Train Steps/Sec: 1.24
610
+ [2025-10-29 17:59:32] (step=0054800) Train Loss: 0.4826, Train Steps/Sec: 1.24
611
+ [2025-10-29 18:00:53] (step=0054900) Train Loss: 0.4819, Train Steps/Sec: 1.24
612
+ [2025-10-29 18:02:14] (step=0055000) Train Loss: 0.4816, Train Steps/Sec: 1.24
613
+ [2025-10-29 18:02:50] Beginning epoch 44...
614
+ [2025-10-29 18:03:37] (step=0055100) Train Loss: 0.4811, Train Steps/Sec: 1.20
615
+ [2025-10-29 18:04:57] (step=0055200) Train Loss: 0.4793, Train Steps/Sec: 1.24
616
+ [2025-10-29 18:06:18] (step=0055300) Train Loss: 0.4812, Train Steps/Sec: 1.24
617
+ [2025-10-29 18:07:39] (step=0055400) Train Loss: 0.4804, Train Steps/Sec: 1.24
618
+ [2025-10-29 18:08:59] (step=0055500) Train Loss: 0.4808, Train Steps/Sec: 1.24
619
+ [2025-10-29 18:10:20] (step=0055600) Train Loss: 0.4814, Train Steps/Sec: 1.24
620
+ [2025-10-29 18:11:41] (step=0055700) Train Loss: 0.4806, Train Steps/Sec: 1.24
621
+ [2025-10-29 18:13:02] (step=0055800) Train Loss: 0.4801, Train Steps/Sec: 1.24
622
+ [2025-10-29 18:14:22] (step=0055900) Train Loss: 0.4821, Train Steps/Sec: 1.24
623
+ [2025-10-29 18:15:43] (step=0056000) Train Loss: 0.4787, Train Steps/Sec: 1.24
624
+ [2025-10-29 18:17:03] (step=0056100) Train Loss: 0.4804, Train Steps/Sec: 1.24
625
+ [2025-10-29 18:18:25] (step=0056200) Train Loss: 0.4808, Train Steps/Sec: 1.23
626
+ [2025-10-29 18:19:43] Beginning epoch 45...
627
+ [2025-10-29 18:19:48] (step=0056300) Train Loss: 0.4811, Train Steps/Sec: 1.21
628
+ [2025-10-29 18:21:09] (step=0056400) Train Loss: 0.4819, Train Steps/Sec: 1.24
629
+ [2025-10-29 18:22:30] (step=0056500) Train Loss: 0.4783, Train Steps/Sec: 1.24
630
+ [2025-10-29 18:23:50] (step=0056600) Train Loss: 0.4798, Train Steps/Sec: 1.24
631
+ [2025-10-29 18:25:11] (step=0056700) Train Loss: 0.4803, Train Steps/Sec: 1.24
632
+ [2025-10-29 18:26:32] (step=0056800) Train Loss: 0.4800, Train Steps/Sec: 1.24
633
+ [2025-10-29 18:27:52] (step=0056900) Train Loss: 0.4806, Train Steps/Sec: 1.24
634
+ [2025-10-29 18:29:13] (step=0057000) Train Loss: 0.4804, Train Steps/Sec: 1.24
635
+ [2025-10-29 18:30:34] (step=0057100) Train Loss: 0.4795, Train Steps/Sec: 1.24
636
+ [2025-10-29 18:31:54] (step=0057200) Train Loss: 0.4811, Train Steps/Sec: 1.24
637
+ [2025-10-29 18:33:15] (step=0057300) Train Loss: 0.4798, Train Steps/Sec: 1.24
638
+ [2025-10-29 18:34:36] (step=0057400) Train Loss: 0.4804, Train Steps/Sec: 1.24
639
+ [2025-10-29 18:35:56] (step=0057500) Train Loss: 0.4796, Train Steps/Sec: 1.24
640
+ [2025-10-29 18:36:34] Beginning epoch 46...
641
+ [2025-10-29 18:37:20] (step=0057600) Train Loss: 0.4795, Train Steps/Sec: 1.20
642
+ [2025-10-29 18:38:40] (step=0057700) Train Loss: 0.4801, Train Steps/Sec: 1.24
643
+ [2025-10-29 18:40:01] (step=0057800) Train Loss: 0.4784, Train Steps/Sec: 1.24
644
+ [2025-10-29 18:41:23] (step=0057900) Train Loss: 0.4787, Train Steps/Sec: 1.23
645
+ [2025-10-29 18:42:43] (step=0058000) Train Loss: 0.4805, Train Steps/Sec: 1.24
646
+ [2025-10-29 18:44:04] (step=0058100) Train Loss: 0.4797, Train Steps/Sec: 1.24
647
+ [2025-10-29 18:45:25] (step=0058200) Train Loss: 0.4795, Train Steps/Sec: 1.24
648
+ [2025-10-29 18:46:45] (step=0058300) Train Loss: 0.4807, Train Steps/Sec: 1.24
649
+ [2025-10-29 18:48:06] (step=0058400) Train Loss: 0.4799, Train Steps/Sec: 1.24
650
+ [2025-10-29 18:49:27] (step=0058500) Train Loss: 0.4794, Train Steps/Sec: 1.24
651
+ [2025-10-29 18:50:47] (step=0058600) Train Loss: 0.4796, Train Steps/Sec: 1.24
652
+ [2025-10-29 18:52:08] (step=0058700) Train Loss: 0.4798, Train Steps/Sec: 1.24
653
+ [2025-10-29 18:53:27] Beginning epoch 47...
654
+ [2025-10-29 18:53:31] (step=0058800) Train Loss: 0.4808, Train Steps/Sec: 1.20
655
+ [2025-10-29 18:54:52] (step=0058900) Train Loss: 0.4791, Train Steps/Sec: 1.24
656
+ [2025-10-29 18:56:13] (step=0059000) Train Loss: 0.4779, Train Steps/Sec: 1.24
657
+ [2025-10-29 18:57:33] (step=0059100) Train Loss: 0.4799, Train Steps/Sec: 1.24
658
+ [2025-10-29 18:58:54] (step=0059200) Train Loss: 0.4783, Train Steps/Sec: 1.24
659
+ [2025-10-29 19:00:15] (step=0059300) Train Loss: 0.4797, Train Steps/Sec: 1.24
660
+ [2025-10-29 19:01:35] (step=0059400) Train Loss: 0.4790, Train Steps/Sec: 1.24
661
+ [2025-10-29 19:02:57] (step=0059500) Train Loss: 0.4784, Train Steps/Sec: 1.23
662
+ [2025-10-29 19:04:18] (step=0059600) Train Loss: 0.4787, Train Steps/Sec: 1.24
663
+ [2025-10-29 19:05:38] (step=0059700) Train Loss: 0.4789, Train Steps/Sec: 1.24
664
+ [2025-10-29 19:06:59] (step=0059800) Train Loss: 0.4789, Train Steps/Sec: 1.24
665
+ [2025-10-29 19:08:20] (step=0059900) Train Loss: 0.4773, Train Steps/Sec: 1.24
666
+ [2025-10-29 19:09:40] (step=0060000) Train Loss: 0.4781, Train Steps/Sec: 1.24
667
+ [2025-10-29 19:10:20] Beginning epoch 48...
668
+ [2025-10-29 19:11:03] (step=0060100) Train Loss: 0.4780, Train Steps/Sec: 1.20
669
+ [2025-10-29 19:12:24] (step=0060200) Train Loss: 0.4780, Train Steps/Sec: 1.24
670
+ [2025-10-29 19:13:45] (step=0060300) Train Loss: 0.4789, Train Steps/Sec: 1.24
671
+ [2025-10-29 19:15:06] (step=0060400) Train Loss: 0.4780, Train Steps/Sec: 1.24
672
+ [2025-10-29 19:16:26] (step=0060500) Train Loss: 0.4786, Train Steps/Sec: 1.24
673
+ [2025-10-29 19:17:47] (step=0060600) Train Loss: 0.4781, Train Steps/Sec: 1.24
674
+ [2025-10-29 19:19:08] (step=0060700) Train Loss: 0.4788, Train Steps/Sec: 1.24
675
+ [2025-10-29 19:20:28] (step=0060800) Train Loss: 0.4788, Train Steps/Sec: 1.24
676
+ [2025-10-29 19:21:49] (step=0060900) Train Loss: 0.4785, Train Steps/Sec: 1.24
677
+ [2025-10-29 19:23:10] (step=0061000) Train Loss: 0.4784, Train Steps/Sec: 1.24
678
+ [2025-10-29 19:24:30] (step=0061100) Train Loss: 0.4778, Train Steps/Sec: 1.24
679
+ [2025-10-29 19:25:52] (step=0061200) Train Loss: 0.4794, Train Steps/Sec: 1.23
680
+ [2025-10-29 19:27:12] Beginning epoch 49...
681
+ [2025-10-29 19:27:15] (step=0061300) Train Loss: 0.4778, Train Steps/Sec: 1.20
682
+ [2025-10-29 19:28:36] (step=0061400) Train Loss: 0.4794, Train Steps/Sec: 1.24
683
+ [2025-10-29 19:29:56] (step=0061500) Train Loss: 0.4778, Train Steps/Sec: 1.24
684
+ [2025-10-29 19:31:17] (step=0061600) Train Loss: 0.4777, Train Steps/Sec: 1.24
685
+ [2025-10-29 19:32:38] (step=0061700) Train Loss: 0.4777, Train Steps/Sec: 1.24
686
+ [2025-10-29 19:33:58] (step=0061800) Train Loss: 0.4777, Train Steps/Sec: 1.24
687
+ [2025-10-29 19:35:19] (step=0061900) Train Loss: 0.4775, Train Steps/Sec: 1.24
688
+ [2025-10-29 19:36:40] (step=0062000) Train Loss: 0.4785, Train Steps/Sec: 1.24
689
+ [2025-10-29 19:38:01] (step=0062100) Train Loss: 0.4777, Train Steps/Sec: 1.24
690
+ [2025-10-29 19:39:21] (step=0062200) Train Loss: 0.4781, Train Steps/Sec: 1.24
691
+ [2025-10-29 19:40:42] (step=0062300) Train Loss: 0.4790, Train Steps/Sec: 1.24
692
+ [2025-10-29 19:42:03] (step=0062400) Train Loss: 0.4782, Train Steps/Sec: 1.24
693
+ [2025-10-29 19:43:24] (step=0062500) Train Loss: 0.4789, Train Steps/Sec: 1.24
694
+ [2025-10-29 19:44:04] Beginning epoch 50...
695
+ [2025-10-29 19:44:47] (step=0062600) Train Loss: 0.4771, Train Steps/Sec: 1.21
696
+ [2025-10-29 19:46:07] (step=0062700) Train Loss: 0.4774, Train Steps/Sec: 1.24
697
+ [2025-10-29 19:47:28] (step=0062800) Train Loss: 0.4769, Train Steps/Sec: 1.24
698
+ [2025-10-29 19:48:49] (step=0062900) Train Loss: 0.4780, Train Steps/Sec: 1.23
699
+ [2025-10-29 19:50:10] (step=0063000) Train Loss: 0.4776, Train Steps/Sec: 1.24
700
+ [2025-10-29 19:51:31] (step=0063100) Train Loss: 0.4774, Train Steps/Sec: 1.24
701
+ [2025-10-29 19:52:52] (step=0063200) Train Loss: 0.4782, Train Steps/Sec: 1.24
702
+ [2025-10-29 19:54:12] (step=0063300) Train Loss: 0.4784, Train Steps/Sec: 1.24
703
+ [2025-10-29 19:55:33] (step=0063400) Train Loss: 0.4773, Train Steps/Sec: 1.24
704
+ [2025-10-29 19:56:54] (step=0063500) Train Loss: 0.4761, Train Steps/Sec: 1.24
705
+ [2025-10-29 19:58:14] (step=0063600) Train Loss: 0.4764, Train Steps/Sec: 1.24
706
+ [2025-10-29 19:59:35] (step=0063700) Train Loss: 0.4764, Train Steps/Sec: 1.24
707
+ [2025-10-29 20:00:56] (step=0063800) Train Loss: 0.4772, Train Steps/Sec: 1.24
708
+ [2025-10-29 20:00:57] Beginning epoch 51...
709
+ [2025-10-29 20:02:19] (step=0063900) Train Loss: 0.4775, Train Steps/Sec: 1.21
710
+ [2025-10-29 20:03:39] (step=0064000) Train Loss: 0.4769, Train Steps/Sec: 1.24
711
+ [2025-10-29 20:05:00] (step=0064100) Train Loss: 0.4763, Train Steps/Sec: 1.24
712
+ [2025-10-29 20:06:21] (step=0064200) Train Loss: 0.4768, Train Steps/Sec: 1.24
713
+ [2025-10-29 20:07:41] (step=0064300) Train Loss: 0.4769, Train Steps/Sec: 1.24
714
+ [2025-10-29 20:09:02] (step=0064400) Train Loss: 0.4764, Train Steps/Sec: 1.24
715
+ [2025-10-29 20:10:23] (step=0064500) Train Loss: 0.4778, Train Steps/Sec: 1.24
716
+ [2025-10-29 20:11:44] (step=0064600) Train Loss: 0.4774, Train Steps/Sec: 1.23
717
+ [2025-10-29 20:13:05] (step=0064700) Train Loss: 0.4759, Train Steps/Sec: 1.24
718
+ [2025-10-29 20:14:26] (step=0064800) Train Loss: 0.4777, Train Steps/Sec: 1.24
719
+ [2025-10-29 20:15:46] (step=0064900) Train Loss: 0.4765, Train Steps/Sec: 1.24
720
+ [2025-10-29 20:17:07] (step=0065000) Train Loss: 0.4774, Train Steps/Sec: 1.24
721
+ [2025-10-29 20:17:50] Beginning epoch 52...
722
+ [2025-10-29 20:18:30] (step=0065100) Train Loss: 0.4766, Train Steps/Sec: 1.20
723
+ [2025-10-29 20:19:51] (step=0065200) Train Loss: 0.4773, Train Steps/Sec: 1.24
724
+ [2025-10-29 20:21:12] (step=0065300) Train Loss: 0.4766, Train Steps/Sec: 1.24
725
+ [2025-10-29 20:22:32] (step=0065400) Train Loss: 0.4775, Train Steps/Sec: 1.24
726
+ [2025-10-29 20:23:53] (step=0065500) Train Loss: 0.4765, Train Steps/Sec: 1.24
727
+ [2025-10-29 20:25:14] (step=0065600) Train Loss: 0.4757, Train Steps/Sec: 1.24
728
+ [2025-10-29 20:26:34] (step=0065700) Train Loss: 0.4746, Train Steps/Sec: 1.24
729
+ [2025-10-29 20:27:55] (step=0065800) Train Loss: 0.4766, Train Steps/Sec: 1.24
730
+ [2025-10-29 20:29:16] (step=0065900) Train Loss: 0.4762, Train Steps/Sec: 1.24
731
+ [2025-10-29 20:30:37] (step=0066000) Train Loss: 0.4765, Train Steps/Sec: 1.24
732
+ [2025-10-29 20:31:57] (step=0066100) Train Loss: 0.4753, Train Steps/Sec: 1.24
733
+ [2025-10-29 20:33:19] (step=0066200) Train Loss: 0.4774, Train Steps/Sec: 1.23
734
+ [2025-10-29 20:34:39] (step=0066300) Train Loss: 0.4773, Train Steps/Sec: 1.24
735
+ [2025-10-29 20:34:42] Beginning epoch 53...
736
+ [2025-10-29 20:36:03] (step=0066400) Train Loss: 0.4749, Train Steps/Sec: 1.20
737
+ [2025-10-29 20:37:23] (step=0066500) Train Loss: 0.4748, Train Steps/Sec: 1.24
738
+ [2025-10-29 20:38:44] (step=0066600) Train Loss: 0.4744, Train Steps/Sec: 1.24
739
+ [2025-10-29 20:40:05] (step=0066700) Train Loss: 0.4766, Train Steps/Sec: 1.24
740
+ [2025-10-29 20:41:26] (step=0066800) Train Loss: 0.4765, Train Steps/Sec: 1.24
741
+ [2025-10-29 20:42:46] (step=0066900) Train Loss: 0.4761, Train Steps/Sec: 1.24
742
+ [2025-10-29 20:44:07] (step=0067000) Train Loss: 0.4765, Train Steps/Sec: 1.24
743
+ [2025-10-29 20:45:27] (step=0067100) Train Loss: 0.4765, Train Steps/Sec: 1.24
744
+ [2025-10-29 20:46:48] (step=0067200) Train Loss: 0.4748, Train Steps/Sec: 1.24
745
+ [2025-10-29 20:48:09] (step=0067300) Train Loss: 0.4763, Train Steps/Sec: 1.24
746
+ [2025-10-29 20:49:30] (step=0067400) Train Loss: 0.4766, Train Steps/Sec: 1.24
747
+ [2025-10-29 20:50:50] (step=0067500) Train Loss: 0.4751, Train Steps/Sec: 1.24
748
+ [2025-10-29 20:51:34] Beginning epoch 54...
749
+ [2025-10-29 20:52:13] (step=0067600) Train Loss: 0.4746, Train Steps/Sec: 1.20
750
+ [2025-10-29 20:53:34] (step=0067700) Train Loss: 0.4761, Train Steps/Sec: 1.24
751
+ [2025-10-29 20:54:55] (step=0067800) Train Loss: 0.4753, Train Steps/Sec: 1.24
752
+ [2025-10-29 20:56:16] (step=0067900) Train Loss: 0.4749, Train Steps/Sec: 1.23
753
+ [2025-10-29 20:57:37] (step=0068000) Train Loss: 0.4765, Train Steps/Sec: 1.24
754
+ [2025-10-29 20:58:57] (step=0068100) Train Loss: 0.4762, Train Steps/Sec: 1.24
755
+ [2025-10-29 21:00:18] (step=0068200) Train Loss: 0.4753, Train Steps/Sec: 1.24
756
+ [2025-10-29 21:01:39] (step=0068300) Train Loss: 0.4746, Train Steps/Sec: 1.24
757
+ [2025-10-29 21:02:59] (step=0068400) Train Loss: 0.4760, Train Steps/Sec: 1.24
758
+ [2025-10-29 21:04:20] (step=0068500) Train Loss: 0.4748, Train Steps/Sec: 1.24
759
+ [2025-10-29 21:05:41] (step=0068600) Train Loss: 0.4764, Train Steps/Sec: 1.24
760
+ [2025-10-29 21:07:02] (step=0068700) Train Loss: 0.4745, Train Steps/Sec: 1.24
761
+ [2025-10-29 21:08:22] (step=0068800) Train Loss: 0.4757, Train Steps/Sec: 1.24
762
+ [2025-10-29 21:08:27] Beginning epoch 55...
763
+ [2025-10-29 21:09:45] (step=0068900) Train Loss: 0.4739, Train Steps/Sec: 1.21
764
+ [2025-10-29 21:11:06] (step=0069000) Train Loss: 0.4759, Train Steps/Sec: 1.24
765
+ [2025-10-29 21:12:27] (step=0069100) Train Loss: 0.4750, Train Steps/Sec: 1.24
766
+ [2025-10-29 21:13:47] (step=0069200) Train Loss: 0.4751, Train Steps/Sec: 1.24
767
+ [2025-10-29 21:15:08] (step=0069300) Train Loss: 0.4753, Train Steps/Sec: 1.24
768
+ [2025-10-29 21:16:29] (step=0069400) Train Loss: 0.4741, Train Steps/Sec: 1.24
769
+ [2025-10-29 21:17:49] (step=0069500) Train Loss: 0.4748, Train Steps/Sec: 1.24
770
+ [2025-10-29 21:19:11] (step=0069600) Train Loss: 0.4750, Train Steps/Sec: 1.23
771
+ [2025-10-29 21:20:31] (step=0069700) Train Loss: 0.4765, Train Steps/Sec: 1.24
772
+ [2025-10-29 21:21:52] (step=0069800) Train Loss: 0.4750, Train Steps/Sec: 1.24
773
+ [2025-10-29 21:23:13] (step=0069900) Train Loss: 0.4739, Train Steps/Sec: 1.24
774
+ [2025-10-29 21:24:34] (step=0070000) Train Loss: 0.4748, Train Steps/Sec: 1.24
775
+ [2025-10-29 21:25:19] Beginning epoch 56...
776
+ [2025-10-29 21:25:56] (step=0070100) Train Loss: 0.4750, Train Steps/Sec: 1.21
777
+ [2025-10-29 21:27:17] (step=0070200) Train Loss: 0.4749, Train Steps/Sec: 1.24
778
+ [2025-10-29 21:28:38] (step=0070300) Train Loss: 0.4755, Train Steps/Sec: 1.24
779
+ [2025-10-29 21:29:59] (step=0070400) Train Loss: 0.4747, Train Steps/Sec: 1.24
780
+ [2025-10-29 21:31:19] (step=0070500) Train Loss: 0.4755, Train Steps/Sec: 1.24
781
+ [2025-10-29 21:32:40] (step=0070600) Train Loss: 0.4753, Train Steps/Sec: 1.24
782
+ [2025-10-29 21:34:01] (step=0070700) Train Loss: 0.4749, Train Steps/Sec: 1.24
783
+ [2025-10-29 21:35:22] (step=0070800) Train Loss: 0.4758, Train Steps/Sec: 1.24
784
+ [2025-10-29 21:36:42] (step=0070900) Train Loss: 0.4742, Train Steps/Sec: 1.24
785
+ [2025-10-29 21:38:03] (step=0071000) Train Loss: 0.4741, Train Steps/Sec: 1.24
786
+ [2025-10-29 21:39:24] (step=0071100) Train Loss: 0.4753, Train Steps/Sec: 1.24
787
+ [2025-10-29 21:40:45] (step=0071200) Train Loss: 0.4746, Train Steps/Sec: 1.24
788
+ [2025-10-29 21:42:06] (step=0071300) Train Loss: 0.4751, Train Steps/Sec: 1.23
789
+ [2025-10-29 21:42:12] Beginning epoch 57...
790
+ [2025-10-29 21:43:29] (step=0071400) Train Loss: 0.4739, Train Steps/Sec: 1.20
791
+ [2025-10-29 21:44:50] (step=0071500) Train Loss: 0.4739, Train Steps/Sec: 1.24
792
+ [2025-10-29 21:46:10] (step=0071600) Train Loss: 0.4754, Train Steps/Sec: 1.24
793
+ [2025-10-29 21:47:31] (step=0071700) Train Loss: 0.4747, Train Steps/Sec: 1.24
794
+ [2025-10-29 21:48:52] (step=0071800) Train Loss: 0.4741, Train Steps/Sec: 1.24
795
+ [2025-10-29 21:50:12] (step=0071900) Train Loss: 0.4733, Train Steps/Sec: 1.24
796
+ [2025-10-29 21:51:33] (step=0072000) Train Loss: 0.4740, Train Steps/Sec: 1.24
797
+ [2025-10-29 21:52:54] (step=0072100) Train Loss: 0.4731, Train Steps/Sec: 1.24
798
+ [2025-10-29 21:54:15] (step=0072200) Train Loss: 0.4757, Train Steps/Sec: 1.24
799
+ [2025-10-29 21:55:35] (step=0072300) Train Loss: 0.4748, Train Steps/Sec: 1.24
800
+ [2025-10-29 21:56:56] (step=0072400) Train Loss: 0.4747, Train Steps/Sec: 1.24
801
+ [2025-10-29 21:58:17] (step=0072500) Train Loss: 0.4737, Train Steps/Sec: 1.24
802
+ [2025-10-29 21:59:04] Beginning epoch 58...
803
+ [2025-10-29 21:59:39] (step=0072600) Train Loss: 0.4737, Train Steps/Sec: 1.21
804
+ [2025-10-29 22:01:00] (step=0072700) Train Loss: 0.4750, Train Steps/Sec: 1.24
805
+ [2025-10-29 22:02:21] (step=0072800) Train Loss: 0.4747, Train Steps/Sec: 1.24
806
+ [2025-10-29 22:03:42] (step=0072900) Train Loss: 0.4737, Train Steps/Sec: 1.23
807
+ [2025-10-29 22:05:03] (step=0073000) Train Loss: 0.4738, Train Steps/Sec: 1.24
808
+ [2025-10-29 22:06:24] (step=0073100) Train Loss: 0.4740, Train Steps/Sec: 1.24
809
+ [2025-10-29 22:07:45] (step=0073200) Train Loss: 0.4732, Train Steps/Sec: 1.24
810
+ [2025-10-29 22:09:05] (step=0073300) Train Loss: 0.4733, Train Steps/Sec: 1.24
811
+ [2025-10-29 22:10:26] (step=0073400) Train Loss: 0.4730, Train Steps/Sec: 1.24
812
+ [2025-10-29 22:11:47] (step=0073500) Train Loss: 0.4742, Train Steps/Sec: 1.24
813
+ [2025-10-29 22:13:07] (step=0073600) Train Loss: 0.4727, Train Steps/Sec: 1.24
814
+ [2025-10-29 22:14:28] (step=0073700) Train Loss: 0.4736, Train Steps/Sec: 1.24
815
+ [2025-10-29 22:15:49] (step=0073800) Train Loss: 0.4739, Train Steps/Sec: 1.24
816
+ [2025-10-29 22:15:56] Beginning epoch 59...
817
+ [2025-10-29 22:17:12] (step=0073900) Train Loss: 0.4736, Train Steps/Sec: 1.20
818
+ [2025-10-29 22:18:32] (step=0074000) Train Loss: 0.4720, Train Steps/Sec: 1.24
819
+ [2025-10-29 22:19:53] (step=0074100) Train Loss: 0.4748, Train Steps/Sec: 1.24
820
+ [2025-10-29 22:21:14] (step=0074200) Train Loss: 0.4742, Train Steps/Sec: 1.24
821
+ [2025-10-29 22:22:35] (step=0074300) Train Loss: 0.4743, Train Steps/Sec: 1.24
822
+ [2025-10-29 22:23:55] (step=0074400) Train Loss: 0.4740, Train Steps/Sec: 1.24
823
+ [2025-10-29 22:25:16] (step=0074500) Train Loss: 0.4735, Train Steps/Sec: 1.24
824
+ [2025-10-29 22:26:37] (step=0074600) Train Loss: 0.4731, Train Steps/Sec: 1.23
825
+ [2025-10-29 22:27:58] (step=0074700) Train Loss: 0.4737, Train Steps/Sec: 1.24
826
+ [2025-10-29 22:29:19] (step=0074800) Train Loss: 0.4729, Train Steps/Sec: 1.24
827
+ [2025-10-29 22:30:40] (step=0074900) Train Loss: 0.4703, Train Steps/Sec: 1.24
828
+ [2025-10-29 22:32:00] (step=0075000) Train Loss: 0.4731, Train Steps/Sec: 1.24
829
+ [2025-10-29 22:32:57] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-b-bf16/checkpoints/0075000.pt
830
+ [2025-10-29 22:32:57] Generating EMA samples...
831
+ [2025-10-29 22:33:25] Generating EMA samples done.
832
+ [2025-10-29 22:34:14] Beginning epoch 60...
833
+ [2025-10-29 22:34:48] (step=0075100) Train Loss: 0.4725, Train Steps/Sec: 0.60
834
+ [2025-10-29 22:36:09] (step=0075200) Train Loss: 0.4733, Train Steps/Sec: 1.24
835
+ [2025-10-29 22:37:29] (step=0075300) Train Loss: 0.4737, Train Steps/Sec: 1.24
836
+ [2025-10-29 22:38:50] (step=0075400) Train Loss: 0.4726, Train Steps/Sec: 1.24
837
+ [2025-10-29 22:40:11] (step=0075500) Train Loss: 0.4739, Train Steps/Sec: 1.24
838
+ [2025-10-29 22:41:31] (step=0075600) Train Loss: 0.4723, Train Steps/Sec: 1.24
839
+ [2025-10-29 22:42:52] (step=0075700) Train Loss: 0.4719, Train Steps/Sec: 1.24
840
+ [2025-10-29 22:44:13] (step=0075800) Train Loss: 0.4742, Train Steps/Sec: 1.24
841
+ [2025-10-29 22:45:33] (step=0075900) Train Loss: 0.4727, Train Steps/Sec: 1.24
842
+ [2025-10-29 22:46:54] (step=0076000) Train Loss: 0.4731, Train Steps/Sec: 1.24
843
+ [2025-10-29 22:48:15] (step=0076100) Train Loss: 0.4704, Train Steps/Sec: 1.24
844
+ [2025-10-29 22:49:35] (step=0076200) Train Loss: 0.4728, Train Steps/Sec: 1.24
845
+ [2025-10-29 22:50:57] (step=0076300) Train Loss: 0.4732, Train Steps/Sec: 1.23
846
+ [2025-10-29 22:51:06] Beginning epoch 61...
847
+ [2025-10-29 22:52:20] (step=0076400) Train Loss: 0.4728, Train Steps/Sec: 1.20
848
+ [2025-10-29 22:53:41] (step=0076500) Train Loss: 0.4740, Train Steps/Sec: 1.24
849
+ [2025-10-29 22:55:01] (step=0076600) Train Loss: 0.4735, Train Steps/Sec: 1.24
850
+ [2025-10-29 22:56:22] (step=0076700) Train Loss: 0.4745, Train Steps/Sec: 1.24
851
+ [2025-10-29 22:57:43] (step=0076800) Train Loss: 0.4716, Train Steps/Sec: 1.24
852
+ [2025-10-29 22:59:03] (step=0076900) Train Loss: 0.4724, Train Steps/Sec: 1.24
853
+ [2025-10-29 23:00:24] (step=0077000) Train Loss: 0.4735, Train Steps/Sec: 1.24
854
+ [2025-10-29 23:01:45] (step=0077100) Train Loss: 0.4731, Train Steps/Sec: 1.24
855
+ [2025-10-29 23:03:06] (step=0077200) Train Loss: 0.4728, Train Steps/Sec: 1.24
856
+ [2025-10-29 23:04:26] (step=0077300) Train Loss: 0.4728, Train Steps/Sec: 1.24
857
+ [2025-10-29 23:05:47] (step=0077400) Train Loss: 0.4712, Train Steps/Sec: 1.24
858
+ [2025-10-29 23:07:08] (step=0077500) Train Loss: 0.4721, Train Steps/Sec: 1.24
859
+ [2025-10-29 23:07:58] Beginning epoch 62...
860
+ [2025-10-29 23:08:31] (step=0077600) Train Loss: 0.4723, Train Steps/Sec: 1.20
861
+ [2025-10-29 23:09:51] (step=0077700) Train Loss: 0.4726, Train Steps/Sec: 1.24
862
+ [2025-10-29 23:11:12] (step=0077800) Train Loss: 0.4721, Train Steps/Sec: 1.24
863
+ [2025-10-29 23:12:33] (step=0077900) Train Loss: 0.4737, Train Steps/Sec: 1.23
864
+ [2025-10-29 23:13:54] (step=0078000) Train Loss: 0.4721, Train Steps/Sec: 1.24
865
+ [2025-10-29 23:15:15] (step=0078100) Train Loss: 0.4708, Train Steps/Sec: 1.24
866
+ [2025-10-29 23:16:36] (step=0078200) Train Loss: 0.4721, Train Steps/Sec: 1.24
867
+ [2025-10-29 23:17:56] (step=0078300) Train Loss: 0.4717, Train Steps/Sec: 1.24
868
+ [2025-10-29 23:19:17] (step=0078400) Train Loss: 0.4729, Train Steps/Sec: 1.24
869
+ [2025-10-29 23:20:38] (step=0078500) Train Loss: 0.4718, Train Steps/Sec: 1.24
870
+ [2025-10-29 23:21:58] (step=0078600) Train Loss: 0.4716, Train Steps/Sec: 1.24
871
+ [2025-10-29 23:23:19] (step=0078700) Train Loss: 0.4713, Train Steps/Sec: 1.24
872
+ [2025-10-29 23:24:40] (step=0078800) Train Loss: 0.4720, Train Steps/Sec: 1.24
873
+ [2025-10-29 23:24:51] Beginning epoch 63...
874
+ [2025-10-29 23:26:03] (step=0078900) Train Loss: 0.4720, Train Steps/Sec: 1.21
875
+ [2025-10-29 23:27:23] (step=0079000) Train Loss: 0.4717, Train Steps/Sec: 1.24
876
+ [2025-10-29 23:28:44] (step=0079100) Train Loss: 0.4722, Train Steps/Sec: 1.24
877
+ [2025-10-29 23:30:04] (step=0079200) Train Loss: 0.4721, Train Steps/Sec: 1.24
878
+ [2025-10-29 23:31:25] (step=0079300) Train Loss: 0.4717, Train Steps/Sec: 1.24
879
+ [2025-10-29 23:32:46] (step=0079400) Train Loss: 0.4722, Train Steps/Sec: 1.24
880
+ [2025-10-29 23:34:07] (step=0079500) Train Loss: 0.4722, Train Steps/Sec: 1.24
881
+ [2025-10-29 23:35:28] (step=0079600) Train Loss: 0.4718, Train Steps/Sec: 1.23
882
+ [2025-10-29 23:36:49] (step=0079700) Train Loss: 0.4711, Train Steps/Sec: 1.24
883
+ [2025-10-29 23:38:09] (step=0079800) Train Loss: 0.4722, Train Steps/Sec: 1.24
884
+ [2025-10-29 23:39:30] (step=0079900) Train Loss: 0.4718, Train Steps/Sec: 1.24
885
+ [2025-10-29 23:40:51] (step=0080000) Train Loss: 0.4712, Train Steps/Sec: 1.24
886
+ [2025-10-29 23:41:43] Beginning epoch 64...
887
+ [2025-10-29 23:42:14] (step=0080100) Train Loss: 0.4714, Train Steps/Sec: 1.20
888
+ [2025-10-29 23:43:35] (step=0080200) Train Loss: 0.4718, Train Steps/Sec: 1.24
889
+ [2025-10-29 23:44:55] (step=0080300) Train Loss: 0.4711, Train Steps/Sec: 1.24
890
+ [2025-10-29 23:46:16] (step=0080400) Train Loss: 0.4710, Train Steps/Sec: 1.24
891
+ [2025-10-29 23:47:37] (step=0080500) Train Loss: 0.4720, Train Steps/Sec: 1.24
892
+ [2025-10-29 23:48:57] (step=0080600) Train Loss: 0.4714, Train Steps/Sec: 1.24
893
+ [2025-10-29 23:50:18] (step=0080700) Train Loss: 0.4714, Train Steps/Sec: 1.24
894
+ [2025-10-29 23:51:39] (step=0080800) Train Loss: 0.4726, Train Steps/Sec: 1.24
895
+ [2025-10-29 23:52:59] (step=0080900) Train Loss: 0.4707, Train Steps/Sec: 1.24
896
+ [2025-10-29 23:54:20] (step=0081000) Train Loss: 0.4714, Train Steps/Sec: 1.24
897
+ [2025-10-29 23:55:41] (step=0081100) Train Loss: 0.4706, Train Steps/Sec: 1.24
898
+ [2025-10-29 23:57:01] (step=0081200) Train Loss: 0.4715, Train Steps/Sec: 1.24
899
+ [2025-10-29 23:58:23] (step=0081300) Train Loss: 0.4709, Train Steps/Sec: 1.22
900
+ [2025-10-29 23:58:36] Beginning epoch 65...
901
+ [2025-10-29 23:59:46] (step=0081400) Train Loss: 0.4720, Train Steps/Sec: 1.20
902
+ [2025-10-30 00:01:07] (step=0081500) Train Loss: 0.4717, Train Steps/Sec: 1.24
903
+ [2025-10-30 00:02:28] (step=0081600) Train Loss: 0.4718, Train Steps/Sec: 1.24
904
+ [2025-10-30 00:03:48] (step=0081700) Train Loss: 0.4705, Train Steps/Sec: 1.24
905
+ [2025-10-30 00:05:09] (step=0081800) Train Loss: 0.4722, Train Steps/Sec: 1.24
906
+ [2025-10-30 00:06:30] (step=0081900) Train Loss: 0.4713, Train Steps/Sec: 1.24
907
+ [2025-10-30 00:07:50] (step=0082000) Train Loss: 0.4720, Train Steps/Sec: 1.24
908
+ [2025-10-30 00:09:11] (step=0082100) Train Loss: 0.4717, Train Steps/Sec: 1.24
909
+ [2025-10-30 00:10:32] (step=0082200) Train Loss: 0.4721, Train Steps/Sec: 1.24
910
+ [2025-10-30 00:11:52] (step=0082300) Train Loss: 0.4720, Train Steps/Sec: 1.24
911
+ [2025-10-30 00:13:13] (step=0082400) Train Loss: 0.4710, Train Steps/Sec: 1.24
912
+ [2025-10-30 00:14:34] (step=0082500) Train Loss: 0.4712, Train Steps/Sec: 1.24
913
+ [2025-10-30 00:15:28] Beginning epoch 66...
914
+ [2025-10-30 00:15:57] (step=0082600) Train Loss: 0.4708, Train Steps/Sec: 1.20
915
+ [2025-10-30 00:17:18] (step=0082700) Train Loss: 0.4708, Train Steps/Sec: 1.24
916
+ [2025-10-30 00:18:39] (step=0082800) Train Loss: 0.4709, Train Steps/Sec: 1.24
917
+ [2025-10-30 00:20:00] (step=0082900) Train Loss: 0.4703, Train Steps/Sec: 1.23
918
+ [2025-10-30 00:21:21] (step=0083000) Train Loss: 0.4709, Train Steps/Sec: 1.23
919
+ [2025-10-30 00:22:42] (step=0083100) Train Loss: 0.4693, Train Steps/Sec: 1.24
920
+ [2025-10-30 00:24:02] (step=0083200) Train Loss: 0.4712, Train Steps/Sec: 1.24
921
+ [2025-10-30 00:25:23] (step=0083300) Train Loss: 0.4720, Train Steps/Sec: 1.24
922
+ [2025-10-30 00:26:44] (step=0083400) Train Loss: 0.4719, Train Steps/Sec: 1.24
923
+ [2025-10-30 00:28:04] (step=0083500) Train Loss: 0.4706, Train Steps/Sec: 1.24
924
+ [2025-10-30 00:29:25] (step=0083600) Train Loss: 0.4699, Train Steps/Sec: 1.24
925
+ [2025-10-30 00:30:46] (step=0083700) Train Loss: 0.4711, Train Steps/Sec: 1.24
926
+ [2025-10-30 00:32:06] (step=0083800) Train Loss: 0.4709, Train Steps/Sec: 1.24
927
+ [2025-10-30 00:32:21] Beginning epoch 67...
928
+ [2025-10-30 00:33:30] (step=0083900) Train Loss: 0.4711, Train Steps/Sec: 1.20
929
+ [2025-10-30 00:34:51] (step=0084000) Train Loss: 0.4714, Train Steps/Sec: 1.24
930
+ [2025-10-30 00:36:11] (step=0084100) Train Loss: 0.4702, Train Steps/Sec: 1.24
931
+ [2025-10-30 00:37:32] (step=0084200) Train Loss: 0.4711, Train Steps/Sec: 1.24
932
+ [2025-10-30 00:38:53] (step=0084300) Train Loss: 0.4710, Train Steps/Sec: 1.24
933
+ [2025-10-30 00:40:13] (step=0084400) Train Loss: 0.4705, Train Steps/Sec: 1.24
934
+ [2025-10-30 00:41:34] (step=0084500) Train Loss: 0.4704, Train Steps/Sec: 1.24
935
+ [2025-10-30 00:42:56] (step=0084600) Train Loss: 0.4698, Train Steps/Sec: 1.23
936
+ [2025-10-30 00:44:16] (step=0084700) Train Loss: 0.4703, Train Steps/Sec: 1.24
937
+ [2025-10-30 00:45:37] (step=0084800) Train Loss: 0.4710, Train Steps/Sec: 1.24
938
+ [2025-10-30 00:46:58] (step=0084900) Train Loss: 0.4702, Train Steps/Sec: 1.24
939
+ [2025-10-30 00:48:19] (step=0085000) Train Loss: 0.4703, Train Steps/Sec: 1.24
940
+ [2025-10-30 00:49:14] Beginning epoch 68...
941
+ [2025-10-30 00:49:42] (step=0085100) Train Loss: 0.4717, Train Steps/Sec: 1.20
942
+ [2025-10-30 00:51:02] (step=0085200) Train Loss: 0.4696, Train Steps/Sec: 1.24
943
+ [2025-10-30 00:52:23] (step=0085300) Train Loss: 0.4697, Train Steps/Sec: 1.24
944
+ [2025-10-30 00:53:44] (step=0085400) Train Loss: 0.4705, Train Steps/Sec: 1.24
945
+ [2025-10-30 00:55:05] (step=0085500) Train Loss: 0.4710, Train Steps/Sec: 1.24
946
+ [2025-10-30 00:56:25] (step=0085600) Train Loss: 0.4715, Train Steps/Sec: 1.24
947
+ [2025-10-30 00:57:46] (step=0085700) Train Loss: 0.4717, Train Steps/Sec: 1.24
948
+ [2025-10-30 00:59:07] (step=0085800) Train Loss: 0.4711, Train Steps/Sec: 1.24
949
+ [2025-10-30 01:00:27] (step=0085900) Train Loss: 0.4703, Train Steps/Sec: 1.24
950
+ [2025-10-30 01:01:48] (step=0086000) Train Loss: 0.4704, Train Steps/Sec: 1.24
951
+ [2025-10-30 01:03:09] (step=0086100) Train Loss: 0.4716, Train Steps/Sec: 1.24
952
+ [2025-10-30 01:04:30] (step=0086200) Train Loss: 0.4716, Train Steps/Sec: 1.24
953
+ [2025-10-30 01:05:51] (step=0086300) Train Loss: 0.4692, Train Steps/Sec: 1.23
954
+ [2025-10-30 01:06:07] Beginning epoch 69...
955
+ [2025-10-30 01:07:14] (step=0086400) Train Loss: 0.4697, Train Steps/Sec: 1.20
956
+ [2025-10-30 01:08:35] (step=0086500) Train Loss: 0.4682, Train Steps/Sec: 1.24
957
+ [2025-10-30 01:09:55] (step=0086600) Train Loss: 0.4702, Train Steps/Sec: 1.24
958
+ [2025-10-30 01:11:16] (step=0086700) Train Loss: 0.4680, Train Steps/Sec: 1.24
959
+ [2025-10-30 01:12:37] (step=0086800) Train Loss: 0.4696, Train Steps/Sec: 1.24
960
+ [2025-10-30 01:13:58] (step=0086900) Train Loss: 0.4687, Train Steps/Sec: 1.24
961
+ [2025-10-30 01:15:18] (step=0087000) Train Loss: 0.4708, Train Steps/Sec: 1.24
962
+ [2025-10-30 01:16:39] (step=0087100) Train Loss: 0.4705, Train Steps/Sec: 1.24
963
+ [2025-10-30 01:18:00] (step=0087200) Train Loss: 0.4701, Train Steps/Sec: 1.24
964
+ [2025-10-30 01:19:21] (step=0087300) Train Loss: 0.4718, Train Steps/Sec: 1.24
965
+ [2025-10-30 01:20:41] (step=0087400) Train Loss: 0.4696, Train Steps/Sec: 1.24
966
+ [2025-10-30 01:22:02] (step=0087500) Train Loss: 0.4703, Train Steps/Sec: 1.24
967
+ [2025-10-30 01:22:59] Beginning epoch 70...
968
+ [2025-10-30 01:23:25] (step=0087600) Train Loss: 0.4706, Train Steps/Sec: 1.20
969
+ [2025-10-30 01:24:46] (step=0087700) Train Loss: 0.4691, Train Steps/Sec: 1.24
970
+ [2025-10-30 01:26:06] (step=0087800) Train Loss: 0.4699, Train Steps/Sec: 1.24
971
+ [2025-10-30 01:27:27] (step=0087900) Train Loss: 0.4695, Train Steps/Sec: 1.24
972
+ [2025-10-30 01:28:49] (step=0088000) Train Loss: 0.4696, Train Steps/Sec: 1.23
973
+ [2025-10-30 01:30:09] (step=0088100) Train Loss: 0.4684, Train Steps/Sec: 1.24
974
+ [2025-10-30 01:31:30] (step=0088200) Train Loss: 0.4715, Train Steps/Sec: 1.24
975
+ [2025-10-30 01:32:51] (step=0088300) Train Loss: 0.4707, Train Steps/Sec: 1.24
976
+ [2025-10-30 01:34:11] (step=0088400) Train Loss: 0.4693, Train Steps/Sec: 1.24
977
+ [2025-10-30 01:35:32] (step=0088500) Train Loss: 0.4693, Train Steps/Sec: 1.24
978
+ [2025-10-30 01:36:53] (step=0088600) Train Loss: 0.4697, Train Steps/Sec: 1.24
979
+ [2025-10-30 01:38:13] (step=0088700) Train Loss: 0.4705, Train Steps/Sec: 1.24
980
+ [2025-10-30 01:39:34] (step=0088800) Train Loss: 0.4704, Train Steps/Sec: 1.24
981
+ [2025-10-30 01:39:52] Beginning epoch 71...
982
+ [2025-10-30 01:40:57] (step=0088900) Train Loss: 0.4679, Train Steps/Sec: 1.21
983
+ [2025-10-30 01:42:18] (step=0089000) Train Loss: 0.4689, Train Steps/Sec: 1.24
984
+ [2025-10-30 01:43:38] (step=0089100) Train Loss: 0.4699, Train Steps/Sec: 1.24
985
+ [2025-10-30 01:44:59] (step=0089200) Train Loss: 0.4697, Train Steps/Sec: 1.24
986
+ [2025-10-30 01:46:20] (step=0089300) Train Loss: 0.4695, Train Steps/Sec: 1.24
987
+ [2025-10-30 01:47:40] (step=0089400) Train Loss: 0.4688, Train Steps/Sec: 1.24
988
+ [2025-10-30 01:49:01] (step=0089500) Train Loss: 0.4692, Train Steps/Sec: 1.24
989
+ [2025-10-30 01:50:22] (step=0089600) Train Loss: 0.4713, Train Steps/Sec: 1.23
990
+ [2025-10-30 01:51:43] (step=0089700) Train Loss: 0.4687, Train Steps/Sec: 1.23
991
+ [2025-10-30 01:53:04] (step=0089800) Train Loss: 0.4702, Train Steps/Sec: 1.24
992
+ [2025-10-30 01:54:25] (step=0089900) Train Loss: 0.4689, Train Steps/Sec: 1.24
993
+ [2025-10-30 01:55:45] (step=0090000) Train Loss: 0.4696, Train Steps/Sec: 1.24
994
+ [2025-10-30 01:56:44] Beginning epoch 72...
995
+ [2025-10-30 01:57:08] (step=0090100) Train Loss: 0.4688, Train Steps/Sec: 1.21
996
+ [2025-10-30 01:58:29] (step=0090200) Train Loss: 0.4676, Train Steps/Sec: 1.24
997
+ [2025-10-30 01:59:50] (step=0090300) Train Loss: 0.4703, Train Steps/Sec: 1.24
998
+ [2025-10-30 02:01:10] (step=0090400) Train Loss: 0.4689, Train Steps/Sec: 1.24
999
+ [2025-10-30 02:02:31] (step=0090500) Train Loss: 0.4679, Train Steps/Sec: 1.24
1000
+ [2025-10-30 02:03:52] (step=0090600) Train Loss: 0.4705, Train Steps/Sec: 1.24
1001
+ [2025-10-30 02:05:12] (step=0090700) Train Loss: 0.4695, Train Steps/Sec: 1.24
1002
+ [2025-10-30 02:06:33] (step=0090800) Train Loss: 0.4697, Train Steps/Sec: 1.24
1003
+ [2025-10-30 02:07:54] (step=0090900) Train Loss: 0.4677, Train Steps/Sec: 1.24
1004
+ [2025-10-30 02:09:14] (step=0091000) Train Loss: 0.4694, Train Steps/Sec: 1.24
1005
+ [2025-10-30 02:10:35] (step=0091100) Train Loss: 0.4688, Train Steps/Sec: 1.24
1006
+ [2025-10-30 02:11:56] (step=0091200) Train Loss: 0.4690, Train Steps/Sec: 1.24
1007
+ [2025-10-30 02:13:17] (step=0091300) Train Loss: 0.4683, Train Steps/Sec: 1.23
1008
+ [2025-10-30 02:13:36] Beginning epoch 73...
1009
+ [2025-10-30 02:14:40] (step=0091400) Train Loss: 0.4693, Train Steps/Sec: 1.20
1010
+ [2025-10-30 02:16:01] (step=0091500) Train Loss: 0.4688, Train Steps/Sec: 1.24
1011
+ [2025-10-30 02:17:22] (step=0091600) Train Loss: 0.4699, Train Steps/Sec: 1.24
1012
+ [2025-10-30 02:18:42] (step=0091700) Train Loss: 0.4682, Train Steps/Sec: 1.24
1013
+ [2025-10-30 02:20:03] (step=0091800) Train Loss: 0.4693, Train Steps/Sec: 1.24
1014
+ [2025-10-30 02:21:24] (step=0091900) Train Loss: 0.4691, Train Steps/Sec: 1.24
1015
+ [2025-10-30 02:22:44] (step=0092000) Train Loss: 0.4703, Train Steps/Sec: 1.24
1016
+ [2025-10-30 02:24:05] (step=0092100) Train Loss: 0.4698, Train Steps/Sec: 1.24
1017
+ [2025-10-30 02:25:26] (step=0092200) Train Loss: 0.4678, Train Steps/Sec: 1.24
1018
+ [2025-10-30 02:26:47] (step=0092300) Train Loss: 0.4690, Train Steps/Sec: 1.24
1019
+ [2025-10-30 02:28:07] (step=0092400) Train Loss: 0.4687, Train Steps/Sec: 1.24
1020
+ [2025-10-30 02:29:28] (step=0092500) Train Loss: 0.4696, Train Steps/Sec: 1.24
1021
+ [2025-10-30 02:30:28] Beginning epoch 74...
1022
+ [2025-10-30 02:30:51] (step=0092600) Train Loss: 0.4681, Train Steps/Sec: 1.20
1023
+ [2025-10-30 02:32:12] (step=0092700) Train Loss: 0.4689, Train Steps/Sec: 1.24
1024
+ [2025-10-30 02:33:33] (step=0092800) Train Loss: 0.4673, Train Steps/Sec: 1.24
1025
+ [2025-10-30 02:34:54] (step=0092900) Train Loss: 0.4692, Train Steps/Sec: 1.24
1026
+ [2025-10-30 02:36:15] (step=0093000) Train Loss: 0.4679, Train Steps/Sec: 1.23
1027
+ [2025-10-30 02:37:36] (step=0093100) Train Loss: 0.4689, Train Steps/Sec: 1.24
1028
+ [2025-10-30 02:38:57] (step=0093200) Train Loss: 0.4692, Train Steps/Sec: 1.24
1029
+ [2025-10-30 02:40:17] (step=0093300) Train Loss: 0.4685, Train Steps/Sec: 1.24
1030
+ [2025-10-30 02:41:38] (step=0093400) Train Loss: 0.4689, Train Steps/Sec: 1.24
1031
+ [2025-10-30 02:42:59] (step=0093500) Train Loss: 0.4683, Train Steps/Sec: 1.24
1032
+ [2025-10-30 02:44:19] (step=0093600) Train Loss: 0.4700, Train Steps/Sec: 1.24
1033
+ [2025-10-30 02:45:40] (step=0093700) Train Loss: 0.4685, Train Steps/Sec: 1.24
1034
+ [2025-10-30 02:47:01] (step=0093800) Train Loss: 0.4677, Train Steps/Sec: 1.24
1035
+ [2025-10-30 02:47:22] Beginning epoch 75...
1036
+ [2025-10-30 02:48:24] (step=0093900) Train Loss: 0.4683, Train Steps/Sec: 1.20
1037
+ [2025-10-30 02:49:45] (step=0094000) Train Loss: 0.4677, Train Steps/Sec: 1.24
1038
+ [2025-10-30 02:51:05] (step=0094100) Train Loss: 0.4677, Train Steps/Sec: 1.24
1039
+ [2025-10-30 02:52:26] (step=0094200) Train Loss: 0.4697, Train Steps/Sec: 1.24
1040
+ [2025-10-30 02:53:47] (step=0094300) Train Loss: 0.4680, Train Steps/Sec: 1.24
1041
+ [2025-10-30 02:55:08] (step=0094400) Train Loss: 0.4683, Train Steps/Sec: 1.24
1042
+ [2025-10-30 02:56:28] (step=0094500) Train Loss: 0.4672, Train Steps/Sec: 1.24
1043
+ [2025-10-30 02:57:49] (step=0094600) Train Loss: 0.4683, Train Steps/Sec: 1.24
1044
+ [2025-10-30 02:59:10] (step=0094700) Train Loss: 0.4679, Train Steps/Sec: 1.23
1045
+ [2025-10-30 03:00:31] (step=0094800) Train Loss: 0.4683, Train Steps/Sec: 1.24
1046
+ [2025-10-30 03:01:52] (step=0094900) Train Loss: 0.4691, Train Steps/Sec: 1.24
1047
+ [2025-10-30 03:03:12] (step=0095000) Train Loss: 0.4690, Train Steps/Sec: 1.24
1048
+ [2025-10-30 03:04:14] Beginning epoch 76...
1049
+ [2025-10-30 03:04:36] (step=0095100) Train Loss: 0.4680, Train Steps/Sec: 1.20
1050
+ [2025-10-30 03:05:56] (step=0095200) Train Loss: 0.4681, Train Steps/Sec: 1.24
1051
+ [2025-10-30 03:07:17] (step=0095300) Train Loss: 0.4687, Train Steps/Sec: 1.24
1052
+ [2025-10-30 03:08:38] (step=0095400) Train Loss: 0.4675, Train Steps/Sec: 1.24
1053
+ [2025-10-30 03:09:59] (step=0095500) Train Loss: 0.4665, Train Steps/Sec: 1.24
1054
+ [2025-10-30 03:11:19] (step=0095600) Train Loss: 0.4686, Train Steps/Sec: 1.24
1055
+ [2025-10-30 03:12:40] (step=0095700) Train Loss: 0.4660, Train Steps/Sec: 1.24
1056
+ [2025-10-30 03:14:01] (step=0095800) Train Loss: 0.4689, Train Steps/Sec: 1.24
1057
+ [2025-10-30 03:15:21] (step=0095900) Train Loss: 0.4687, Train Steps/Sec: 1.24
1058
+ [2025-10-30 03:16:42] (step=0096000) Train Loss: 0.4674, Train Steps/Sec: 1.24
1059
+ [2025-10-30 03:18:03] (step=0096100) Train Loss: 0.4673, Train Steps/Sec: 1.24
1060
+ [2025-10-30 03:19:24] (step=0096200) Train Loss: 0.4675, Train Steps/Sec: 1.24
1061
+ [2025-10-30 03:20:45] (step=0096300) Train Loss: 0.4680, Train Steps/Sec: 1.23
1062
+ [2025-10-30 03:21:07] Beginning epoch 77...
1063
+ [2025-10-30 03:22:09] (step=0096400) Train Loss: 0.4679, Train Steps/Sec: 1.19
1064
+ [2025-10-30 03:23:29] (step=0096500) Train Loss: 0.4695, Train Steps/Sec: 1.24
1065
+ [2025-10-30 03:24:50] (step=0096600) Train Loss: 0.4672, Train Steps/Sec: 1.24
1066
+ [2025-10-30 03:26:11] (step=0096700) Train Loss: 0.4681, Train Steps/Sec: 1.24
1067
+ [2025-10-30 03:27:31] (step=0096800) Train Loss: 0.4678, Train Steps/Sec: 1.24
1068
+ [2025-10-30 03:28:52] (step=0096900) Train Loss: 0.4677, Train Steps/Sec: 1.24
1069
+ [2025-10-30 03:30:13] (step=0097000) Train Loss: 0.4670, Train Steps/Sec: 1.24
1070
+ [2025-10-30 03:31:34] (step=0097100) Train Loss: 0.4685, Train Steps/Sec: 1.24
1071
+ [2025-10-30 03:32:54] (step=0097200) Train Loss: 0.4682, Train Steps/Sec: 1.24
1072
+ [2025-10-30 03:34:15] (step=0097300) Train Loss: 0.4686, Train Steps/Sec: 1.24
1073
+ [2025-10-30 03:35:36] (step=0097400) Train Loss: 0.4678, Train Steps/Sec: 1.24
1074
+ [2025-10-30 03:36:56] (step=0097500) Train Loss: 0.4674, Train Steps/Sec: 1.24
1075
+ [2025-10-30 03:38:00] Beginning epoch 78...
1076
+ [2025-10-30 03:38:19] (step=0097600) Train Loss: 0.4676, Train Steps/Sec: 1.20
1077
+ [2025-10-30 03:39:40] (step=0097700) Train Loss: 0.4660, Train Steps/Sec: 1.24
1078
+ [2025-10-30 03:41:01] (step=0097800) Train Loss: 0.4675, Train Steps/Sec: 1.24
1079
+ [2025-10-30 03:42:21] (step=0097900) Train Loss: 0.4668, Train Steps/Sec: 1.24
1080
+ [2025-10-30 03:43:43] (step=0098000) Train Loss: 0.4692, Train Steps/Sec: 1.23
1081
+ [2025-10-30 03:45:04] (step=0098100) Train Loss: 0.4672, Train Steps/Sec: 1.24
1082
+ [2025-10-30 03:46:24] (step=0098200) Train Loss: 0.4666, Train Steps/Sec: 1.24
1083
+ [2025-10-30 03:47:45] (step=0098300) Train Loss: 0.4670, Train Steps/Sec: 1.24
1084
+ [2025-10-30 03:49:06] (step=0098400) Train Loss: 0.4668, Train Steps/Sec: 1.24
1085
+ [2025-10-30 03:50:26] (step=0098500) Train Loss: 0.4660, Train Steps/Sec: 1.24
1086
+ [2025-10-30 03:51:47] (step=0098600) Train Loss: 0.4667, Train Steps/Sec: 1.24
1087
+ [2025-10-30 03:53:08] (step=0098700) Train Loss: 0.4676, Train Steps/Sec: 1.24
1088
+ [2025-10-30 03:54:28] (step=0098800) Train Loss: 0.4674, Train Steps/Sec: 1.24
1089
+ [2025-10-30 03:54:52] Beginning epoch 79...
1090
+ [2025-10-30 03:55:51] (step=0098900) Train Loss: 0.4665, Train Steps/Sec: 1.20
1091
+ [2025-10-30 03:57:12] (step=0099000) Train Loss: 0.4671, Train Steps/Sec: 1.24
1092
+ [2025-10-30 03:58:33] (step=0099100) Train Loss: 0.4689, Train Steps/Sec: 1.24
1093
+ [2025-10-30 03:59:53] (step=0099200) Train Loss: 0.4663, Train Steps/Sec: 1.24
1094
+ [2025-10-30 04:01:14] (step=0099300) Train Loss: 0.4681, Train Steps/Sec: 1.24
1095
+ [2025-10-30 04:02:35] (step=0099400) Train Loss: 0.4676, Train Steps/Sec: 1.24
1096
+ [2025-10-30 04:03:55] (step=0099500) Train Loss: 0.4661, Train Steps/Sec: 1.24
1097
+ [2025-10-30 04:05:16] (step=0099600) Train Loss: 0.4669, Train Steps/Sec: 1.24
1098
+ [2025-10-30 04:06:38] (step=0099700) Train Loss: 0.4673, Train Steps/Sec: 1.22
1099
+ [2025-10-30 04:07:58] (step=0099800) Train Loss: 0.4679, Train Steps/Sec: 1.24
1100
+ [2025-10-30 04:09:19] (step=0099900) Train Loss: 0.4686, Train Steps/Sec: 1.24
1101
+ [2025-10-30 04:10:40] (step=0100000) Train Loss: 0.4668, Train Steps/Sec: 1.24
1102
+ [2025-10-30 04:11:36] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-b-bf16/checkpoints/0100000.pt
1103
+ [2025-10-30 04:11:36] Generating EMA samples...
1104
+ [2025-10-30 04:12:04] Generating EMA samples done.
1105
+ [2025-10-30 04:13:09] Done!