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+ [2025-10-28 00:14:00] Experiment directory created at results/stage2/hfdata/lightningdit-xl-pe-vit-l-bf16
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+ [2025-10-28 00:14:07] Missing keys for loading vision encoder: []
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+ [2025-10-28 00:14:07] Unexpected keys for loading vision encoder: []
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+ [2025-10-28 00:14:22] Model Parameters: 1202.82M
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+ [2025-10-28 00:14:26] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/train)
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+ [2025-10-28 00:14:26] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-28 00:14:26] Precision mode: bf16
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+ [2025-10-28 00:14:26] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-28 00:14:26] 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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+ [2025-10-28 00:14:26] Training for 80 epochs...
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+ [2025-10-28 00:14:26] Beginning epoch 0...
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+ [2025-10-28 00:46:27] Experiment directory created at results/stage2/hfdata/lightningdit-xl-pe-vit-l-bf16
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+ [2025-10-28 00:46:34] Missing keys for loading vision encoder: []
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+ [2025-10-28 00:46:34] Unexpected keys for loading vision encoder: []
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+ [2025-10-28 00:46:49] Model Parameters: 1202.82M
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+ [2025-10-28 00:46:53] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/pe-vit-l_hfdataset_precentercrop_True_train_bfloat16)
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+ [2025-10-28 00:46:53] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-28 00:46:53] Precision mode: bf16
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+ [2025-10-28 00:46:53] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-28 00:46:53] 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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+ [2025-10-28 00:46:53] Training for 80 epochs...
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+ [2025-10-28 00:46:53] Beginning epoch 0...
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+ [2025-10-28 00:47:06] Generating EMA samples...
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+ [2025-10-28 00:47:36] Generating EMA samples done.
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+ [2025-10-28 00:49:03] (step=0000100) Train Loss: 1.6644, Train Steps/Sec: 0.77
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+ [2025-10-28 00:50:31] (step=0000200) Train Loss: 1.2154, Train Steps/Sec: 1.14
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+ [2025-10-28 00:51:59] (step=0000300) Train Loss: 1.0384, Train Steps/Sec: 1.14
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+ [2025-10-28 00:53:27] (step=0000400) Train Loss: 0.9517, Train Steps/Sec: 1.14
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+ [2025-10-28 00:54:54] (step=0000500) Train Loss: 0.9050, Train Steps/Sec: 1.14
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+ [2025-10-28 00:56:22] (step=0000600) Train Loss: 0.8704, Train Steps/Sec: 1.14
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+ [2025-10-28 00:57:50] (step=0000700) Train Loss: 0.8443, Train Steps/Sec: 1.14
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+ [2025-10-28 00:59:18] (step=0000800) Train Loss: 0.8232, Train Steps/Sec: 1.13
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+ [2025-10-28 01:00:46] (step=0000900) Train Loss: 0.8078, Train Steps/Sec: 1.14
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+ [2025-10-28 01:02:15] (step=0001000) Train Loss: 0.7977, Train Steps/Sec: 1.13
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+ [2025-10-28 01:03:43] (step=0001100) Train Loss: 0.7881, Train Steps/Sec: 1.14
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+ [2025-10-28 01:05:10] (step=0001200) Train Loss: 0.7801, Train Steps/Sec: 1.14
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+ [2025-10-28 01:05:56] Beginning epoch 1...
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+ [2025-10-28 01:06:41] (step=0001300) Train Loss: 0.7724, Train Steps/Sec: 1.10
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+ [2025-10-28 01:08:09] (step=0001400) Train Loss: 0.7646, Train Steps/Sec: 1.14
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+ [2025-10-28 01:09:37] (step=0001500) Train Loss: 0.7608, Train Steps/Sec: 1.14
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+ [2025-10-28 01:11:05] (step=0001600) Train Loss: 0.7552, Train Steps/Sec: 1.14
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+ [2025-10-28 01:12:33] (step=0001700) Train Loss: 0.7508, Train Steps/Sec: 1.14
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+ [2025-10-28 01:14:01] (step=0001800) Train Loss: 0.7445, Train Steps/Sec: 1.13
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+ [2025-10-28 01:15:29] (step=0001900) Train Loss: 0.7426, Train Steps/Sec: 1.14
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+ [2025-10-28 01:16:57] (step=0002000) Train Loss: 0.7380, Train Steps/Sec: 1.14
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+ [2025-10-28 01:18:25] (step=0002100) Train Loss: 0.7365, Train Steps/Sec: 1.14
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+ [2025-10-28 01:19:53] (step=0002200) Train Loss: 0.7330, Train Steps/Sec: 1.14
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+ [2025-10-28 01:21:21] (step=0002300) Train Loss: 0.7294, Train Steps/Sec: 1.14
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+ [2025-10-28 01:22:49] (step=0002400) Train Loss: 0.7277, Train Steps/Sec: 1.14
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+ [2025-10-28 01:24:17] (step=0002500) Train Loss: 0.7235, Train Steps/Sec: 1.14
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+ [2025-10-28 01:24:19] Beginning epoch 2...
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+ [2025-10-28 01:25:48] (step=0002600) Train Loss: 0.7213, Train Steps/Sec: 1.10
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+ [2025-10-28 01:27:16] (step=0002700) Train Loss: 0.7193, Train Steps/Sec: 1.14
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+ [2025-10-28 01:28:44] (step=0002800) Train Loss: 0.7172, Train Steps/Sec: 1.14
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+ [2025-10-28 01:30:12] (step=0002900) Train Loss: 0.7148, Train Steps/Sec: 1.14
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+ [2025-10-28 01:31:40] (step=0003000) Train Loss: 0.7144, Train Steps/Sec: 1.14
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+ [2025-10-28 01:33:08] (step=0003100) Train Loss: 0.7124, Train Steps/Sec: 1.14
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+ [2025-10-28 01:34:36] (step=0003200) Train Loss: 0.7108, Train Steps/Sec: 1.14
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+ [2025-10-28 01:36:04] (step=0003300) Train Loss: 0.7094, Train Steps/Sec: 1.14
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+ [2025-10-28 01:37:32] (step=0003400) Train Loss: 0.7075, Train Steps/Sec: 1.14
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+ [2025-10-28 01:39:00] (step=0003500) Train Loss: 0.7055, Train Steps/Sec: 1.13
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+ [2025-10-28 01:40:28] (step=0003600) Train Loss: 0.7026, Train Steps/Sec: 1.14
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+ [2025-10-28 01:41:56] (step=0003700) Train Loss: 0.7039, Train Steps/Sec: 1.14
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+ [2025-10-28 01:42:43] Beginning epoch 3...
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+ [2025-10-28 01:43:27] (step=0003800) Train Loss: 0.7014, Train Steps/Sec: 1.10
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+ [2025-10-28 01:44:55] (step=0003900) Train Loss: 0.6985, Train Steps/Sec: 1.14
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+ [2025-10-28 01:46:23] (step=0004000) Train Loss: 0.6992, Train Steps/Sec: 1.14
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+ [2025-10-28 01:47:51] (step=0004100) Train Loss: 0.6962, Train Steps/Sec: 1.14
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+ [2025-10-28 01:49:19] (step=0004200) Train Loss: 0.6957, Train Steps/Sec: 1.14
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+ [2025-10-28 01:50:48] (step=0004300) Train Loss: 0.6945, Train Steps/Sec: 1.13
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+ [2025-10-28 01:52:16] (step=0004400) Train Loss: 0.6935, Train Steps/Sec: 1.14
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+ [2025-10-28 01:53:44] (step=0004500) Train Loss: 0.6930, Train Steps/Sec: 1.14
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+ [2025-10-28 01:55:12] (step=0004600) Train Loss: 0.6908, Train Steps/Sec: 1.14
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+ [2025-10-28 01:56:40] (step=0004700) Train Loss: 0.6912, Train Steps/Sec: 1.14
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+ [2025-10-28 01:58:08] (step=0004800) Train Loss: 0.6897, Train Steps/Sec: 1.14
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+ [2025-10-28 01:59:36] (step=0004900) Train Loss: 0.6883, Train Steps/Sec: 1.14
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+ [2025-10-28 02:01:04] (step=0005000) Train Loss: 0.6883, Train Steps/Sec: 1.14
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+ [2025-10-28 02:01:08] Beginning epoch 4...
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+ [2025-10-28 02:02:34] (step=0005100) Train Loss: 0.6863, Train Steps/Sec: 1.10
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+ [2025-10-28 02:04:03] (step=0005200) Train Loss: 0.6865, Train Steps/Sec: 1.13
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+ [2025-10-28 02:05:31] (step=0005300) Train Loss: 0.6854, Train Steps/Sec: 1.14
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+ [2025-10-28 02:06:59] (step=0005400) Train Loss: 0.6827, Train Steps/Sec: 1.14
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+ [2025-10-28 02:08:27] (step=0005500) Train Loss: 0.6820, Train Steps/Sec: 1.14
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+ [2025-10-28 02:09:55] (step=0005600) Train Loss: 0.6827, Train Steps/Sec: 1.14
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+ [2025-10-28 02:11:23] (step=0005700) Train Loss: 0.6819, Train Steps/Sec: 1.14
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+ [2025-10-28 02:12:51] (step=0005800) Train Loss: 0.6814, Train Steps/Sec: 1.14
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+ [2025-10-28 02:14:19] (step=0005900) Train Loss: 0.6801, Train Steps/Sec: 1.14
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+ [2025-10-28 02:15:47] (step=0006000) Train Loss: 0.6791, Train Steps/Sec: 1.13
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+ [2025-10-28 02:17:15] (step=0006100) Train Loss: 0.6779, Train Steps/Sec: 1.14
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+ [2025-10-28 02:18:43] (step=0006200) Train Loss: 0.6766, Train Steps/Sec: 1.14
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+ [2025-10-28 02:19:32] Beginning epoch 5...
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+ [2025-10-28 02:20:14] (step=0006300) Train Loss: 0.6767, Train Steps/Sec: 1.10
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+ [2025-10-28 02:21:42] (step=0006400) Train Loss: 0.6767, Train Steps/Sec: 1.14
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+ [2025-10-28 02:23:10] (step=0006500) Train Loss: 0.6751, Train Steps/Sec: 1.14
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+ [2025-10-28 02:24:38] (step=0006600) Train Loss: 0.6764, Train Steps/Sec: 1.14
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+ [2025-10-28 02:26:06] (step=0006700) Train Loss: 0.6744, Train Steps/Sec: 1.14
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+ [2025-10-28 02:27:34] (step=0006800) Train Loss: 0.6729, Train Steps/Sec: 1.14
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+ [2025-10-28 02:29:02] (step=0006900) Train Loss: 0.6731, Train Steps/Sec: 1.13
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+ [2025-10-28 02:30:30] (step=0007000) Train Loss: 0.6716, Train Steps/Sec: 1.14
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+ [2025-10-28 02:31:58] (step=0007100) Train Loss: 0.6713, Train Steps/Sec: 1.14
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+ [2025-10-28 02:33:26] (step=0007200) Train Loss: 0.6718, Train Steps/Sec: 1.14
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+ [2025-10-28 02:34:54] (step=0007300) Train Loss: 0.6717, Train Steps/Sec: 1.14
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+ [2025-10-28 02:36:22] (step=0007400) Train Loss: 0.6711, Train Steps/Sec: 1.14
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+ [2025-10-28 02:37:50] (step=0007500) Train Loss: 0.6697, Train Steps/Sec: 1.14
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+ [2025-10-28 02:37:56] Beginning epoch 6...
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+ [2025-10-28 02:39:21] (step=0007600) Train Loss: 0.6699, Train Steps/Sec: 1.10
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+ [2025-10-28 02:40:49] (step=0007700) Train Loss: 0.6693, Train Steps/Sec: 1.13
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+ [2025-10-28 02:42:17] (step=0007800) Train Loss: 0.6679, Train Steps/Sec: 1.14
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+ [2025-10-28 02:43:45] (step=0007900) Train Loss: 0.6673, Train Steps/Sec: 1.14
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+ [2025-10-28 02:45:13] (step=0008000) Train Loss: 0.6676, Train Steps/Sec: 1.14
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+ [2025-10-28 02:46:41] (step=0008100) Train Loss: 0.6668, Train Steps/Sec: 1.14
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+ [2025-10-28 02:48:09] (step=0008200) Train Loss: 0.6671, Train Steps/Sec: 1.14
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+ [2025-10-28 02:49:37] (step=0008300) Train Loss: 0.6658, Train Steps/Sec: 1.14
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+ [2025-10-28 02:51:05] (step=0008400) Train Loss: 0.6653, Train Steps/Sec: 1.14
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+ [2025-10-28 02:52:33] (step=0008500) Train Loss: 0.6646, Train Steps/Sec: 1.14
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+ [2025-10-28 02:54:01] (step=0008600) Train Loss: 0.6641, Train Steps/Sec: 1.13
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+ [2025-10-28 02:55:29] (step=0008700) Train Loss: 0.6652, Train Steps/Sec: 1.14
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+ [2025-10-28 02:56:20] Beginning epoch 7...
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+ [2025-10-28 02:57:00] (step=0008800) Train Loss: 0.6627, Train Steps/Sec: 1.10
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+ [2025-10-28 02:58:28] (step=0008900) Train Loss: 0.6624, Train Steps/Sec: 1.14
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+ [2025-10-28 02:59:56] (step=0009000) Train Loss: 0.6631, Train Steps/Sec: 1.14
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+ [2025-10-28 03:01:24] (step=0009100) Train Loss: 0.6625, Train Steps/Sec: 1.14
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+ [2025-10-28 03:02:52] (step=0009200) Train Loss: 0.6638, Train Steps/Sec: 1.14
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+ [2025-10-28 03:04:20] (step=0009300) Train Loss: 0.6615, Train Steps/Sec: 1.14
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+ [2025-10-28 03:05:48] (step=0009400) Train Loss: 0.6607, Train Steps/Sec: 1.13
128
+ [2025-10-28 03:07:16] (step=0009500) Train Loss: 0.6612, Train Steps/Sec: 1.13
129
+ [2025-10-28 03:08:44] (step=0009600) Train Loss: 0.6592, Train Steps/Sec: 1.14
130
+ [2025-10-28 03:10:12] (step=0009700) Train Loss: 0.6591, Train Steps/Sec: 1.14
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+ [2025-10-28 03:11:40] (step=0009800) Train Loss: 0.6594, Train Steps/Sec: 1.14
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+ [2025-10-28 03:13:08] (step=0009900) Train Loss: 0.6589, Train Steps/Sec: 1.14
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+ [2025-10-28 03:14:36] (step=0010000) Train Loss: 0.6583, Train Steps/Sec: 1.14
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+ [2025-10-28 03:14:43] Beginning epoch 8...
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+ [2025-10-28 03:16:07] (step=0010100) Train Loss: 0.6575, Train Steps/Sec: 1.10
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+ [2025-10-28 03:17:35] (step=0010200) Train Loss: 0.6577, Train Steps/Sec: 1.14
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+ [2025-10-28 03:19:03] (step=0010300) Train Loss: 0.6581, Train Steps/Sec: 1.13
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+ [2025-10-28 03:20:31] (step=0010400) Train Loss: 0.6574, Train Steps/Sec: 1.14
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+ [2025-10-28 03:21:59] (step=0010500) Train Loss: 0.6576, Train Steps/Sec: 1.14
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+ [2025-10-28 03:23:27] (step=0010600) Train Loss: 0.6565, Train Steps/Sec: 1.14
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+ [2025-10-28 03:24:55] (step=0010700) Train Loss: 0.6569, Train Steps/Sec: 1.14
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+ [2025-10-28 03:26:23] (step=0010800) Train Loss: 0.6560, Train Steps/Sec: 1.14
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+ [2025-10-28 03:27:51] (step=0010900) Train Loss: 0.6561, Train Steps/Sec: 1.14
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+ [2025-10-28 03:29:19] (step=0011000) Train Loss: 0.6567, Train Steps/Sec: 1.14
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+ [2025-10-28 03:30:47] (step=0011100) Train Loss: 0.6549, Train Steps/Sec: 1.13
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+ [2025-10-28 03:32:15] (step=0011200) Train Loss: 0.6546, Train Steps/Sec: 1.14
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+ [2025-10-28 03:33:07] Beginning epoch 9...
148
+ [2025-10-28 03:33:46] (step=0011300) Train Loss: 0.6549, Train Steps/Sec: 1.10
149
+ [2025-10-28 03:35:14] (step=0011400) Train Loss: 0.6543, Train Steps/Sec: 1.14
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+ [2025-10-28 03:36:42] (step=0011500) Train Loss: 0.6543, Train Steps/Sec: 1.14
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+ [2025-10-28 03:38:10] (step=0011600) Train Loss: 0.6545, Train Steps/Sec: 1.14
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+ [2025-10-28 03:39:38] (step=0011700) Train Loss: 0.6532, Train Steps/Sec: 1.14
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+ [2025-10-28 03:41:06] (step=0011800) Train Loss: 0.6535, Train Steps/Sec: 1.14
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+ [2025-10-28 03:42:34] (step=0011900) Train Loss: 0.6524, Train Steps/Sec: 1.14
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+ [2025-10-28 03:44:02] (step=0012000) Train Loss: 0.6531, Train Steps/Sec: 1.13
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+ [2025-10-28 03:45:30] (step=0012100) Train Loss: 0.6525, Train Steps/Sec: 1.14
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+ [2025-10-28 03:46:58] (step=0012200) Train Loss: 0.6515, Train Steps/Sec: 1.14
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+ [2025-10-28 03:48:26] (step=0012300) Train Loss: 0.6509, Train Steps/Sec: 1.14
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+ [2025-10-28 03:49:54] (step=0012400) Train Loss: 0.6507, Train Steps/Sec: 1.14
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+ [2025-10-28 03:51:22] (step=0012500) Train Loss: 0.6498, Train Steps/Sec: 1.14
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+ [2025-10-28 03:51:31] Beginning epoch 10...
162
+ [2025-10-28 03:52:53] (step=0012600) Train Loss: 0.6506, Train Steps/Sec: 1.10
163
+ [2025-10-28 03:54:21] (step=0012700) Train Loss: 0.6509, Train Steps/Sec: 1.14
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+ [2025-10-28 03:55:49] (step=0012800) Train Loss: 0.6494, Train Steps/Sec: 1.13
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+ [2025-10-28 03:57:17] (step=0012900) Train Loss: 0.6500, Train Steps/Sec: 1.14
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+ [2025-10-28 03:58:45] (step=0013000) Train Loss: 0.6493, Train Steps/Sec: 1.14
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+ [2025-10-28 04:00:13] (step=0013100) Train Loss: 0.6491, Train Steps/Sec: 1.14
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+ [2025-10-28 04:01:41] (step=0013200) Train Loss: 0.6487, Train Steps/Sec: 1.14
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+ [2025-10-28 04:03:09] (step=0013300) Train Loss: 0.6484, Train Steps/Sec: 1.14
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+ [2025-10-28 04:04:37] (step=0013400) Train Loss: 0.6495, Train Steps/Sec: 1.14
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+ [2025-10-28 04:06:05] (step=0013500) Train Loss: 0.6476, Train Steps/Sec: 1.14
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+ [2025-10-28 04:07:33] (step=0013600) Train Loss: 0.6499, Train Steps/Sec: 1.14
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+ [2025-10-28 04:09:01] (step=0013700) Train Loss: 0.6458, Train Steps/Sec: 1.13
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+ [2025-10-28 04:09:55] Beginning epoch 11...
175
+ [2025-10-28 04:10:32] (step=0013800) Train Loss: 0.6482, Train Steps/Sec: 1.10
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+ [2025-10-28 04:12:00] (step=0013900) Train Loss: 0.6487, Train Steps/Sec: 1.14
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+ [2025-10-28 04:13:28] (step=0014000) Train Loss: 0.6474, Train Steps/Sec: 1.14
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+ [2025-10-28 04:14:56] (step=0014100) Train Loss: 0.6463, Train Steps/Sec: 1.14
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+ [2025-10-28 04:16:24] (step=0014200) Train Loss: 0.6468, Train Steps/Sec: 1.14
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+ [2025-10-28 04:17:52] (step=0014300) Train Loss: 0.6464, Train Steps/Sec: 1.14
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+ [2025-10-28 04:19:20] (step=0014400) Train Loss: 0.6446, Train Steps/Sec: 1.14
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+ [2025-10-28 04:20:49] (step=0014500) Train Loss: 0.6460, Train Steps/Sec: 1.13
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+ [2025-10-28 04:22:17] (step=0014600) Train Loss: 0.6459, Train Steps/Sec: 1.14
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+ [2025-10-28 04:23:45] (step=0014700) Train Loss: 0.6450, Train Steps/Sec: 1.14
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+ [2025-10-28 04:25:13] (step=0014800) Train Loss: 0.6451, Train Steps/Sec: 1.14
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+ [2025-10-28 04:26:41] (step=0014900) Train Loss: 0.6440, Train Steps/Sec: 1.14
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+ [2025-10-28 04:28:09] (step=0015000) Train Loss: 0.6445, Train Steps/Sec: 1.14
188
+ [2025-10-28 04:28:20] Beginning epoch 12...
189
+ [2025-10-28 04:29:39] (step=0015100) Train Loss: 0.6463, Train Steps/Sec: 1.10
190
+ [2025-10-28 04:31:07] (step=0015200) Train Loss: 0.6443, Train Steps/Sec: 1.14
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+ [2025-10-28 04:32:35] (step=0015300) Train Loss: 0.6442, Train Steps/Sec: 1.14
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+ [2025-10-28 04:34:04] (step=0015400) Train Loss: 0.6437, Train Steps/Sec: 1.13
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+ [2025-10-28 04:35:32] (step=0015500) Train Loss: 0.6429, Train Steps/Sec: 1.13
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+ [2025-10-28 04:37:00] (step=0015600) Train Loss: 0.6425, Train Steps/Sec: 1.14
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+ [2025-10-28 04:38:28] (step=0015700) Train Loss: 0.6434, Train Steps/Sec: 1.14
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+ [2025-10-28 04:39:56] (step=0015800) Train Loss: 0.6427, Train Steps/Sec: 1.14
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+ [2025-10-28 04:41:24] (step=0015900) Train Loss: 0.6446, Train Steps/Sec: 1.14
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+ [2025-10-28 04:42:52] (step=0016000) Train Loss: 0.6443, Train Steps/Sec: 1.14
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+ [2025-10-28 04:44:20] (step=0016100) Train Loss: 0.6426, Train Steps/Sec: 1.14
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+ [2025-10-28 04:45:48] (step=0016200) Train Loss: 0.6434, Train Steps/Sec: 1.14
201
+ [2025-10-28 04:46:44] Beginning epoch 13...
202
+ [2025-10-28 04:47:19] (step=0016300) Train Loss: 0.6434, Train Steps/Sec: 1.10
203
+ [2025-10-28 04:48:47] (step=0016400) Train Loss: 0.6426, Train Steps/Sec: 1.14
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+ [2025-10-28 04:50:15] (step=0016500) Train Loss: 0.6422, Train Steps/Sec: 1.14
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+ [2025-10-28 04:51:43] (step=0016600) Train Loss: 0.6417, Train Steps/Sec: 1.14
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+ [2025-10-28 04:53:11] (step=0016700) Train Loss: 0.6415, Train Steps/Sec: 1.14
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+ [2025-10-28 04:54:39] (step=0016800) Train Loss: 0.6407, Train Steps/Sec: 1.14
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+ [2025-10-28 04:56:07] (step=0016900) Train Loss: 0.6393, Train Steps/Sec: 1.14
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+ [2025-10-28 04:57:35] (step=0017000) Train Loss: 0.6406, Train Steps/Sec: 1.14
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+ [2025-10-28 04:59:03] (step=0017100) Train Loss: 0.6425, Train Steps/Sec: 1.13
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+ [2025-10-28 05:00:31] (step=0017200) Train Loss: 0.6392, Train Steps/Sec: 1.14
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+ [2025-10-28 05:01:59] (step=0017300) Train Loss: 0.6401, Train Steps/Sec: 1.14
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+ [2025-10-28 05:03:27] (step=0017400) Train Loss: 0.6393, Train Steps/Sec: 1.14
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+ [2025-10-28 05:04:55] (step=0017500) Train Loss: 0.6409, Train Steps/Sec: 1.14
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+ [2025-10-28 05:05:08] Beginning epoch 14...
216
+ [2025-10-28 05:06:26] (step=0017600) Train Loss: 0.6399, Train Steps/Sec: 1.10
217
+ [2025-10-28 05:07:54] (step=0017700) Train Loss: 0.6390, Train Steps/Sec: 1.14
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+ [2025-10-28 05:09:22] (step=0017800) Train Loss: 0.6394, Train Steps/Sec: 1.14
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+ [2025-10-28 05:10:50] (step=0017900) Train Loss: 0.6396, Train Steps/Sec: 1.13
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+ [2025-10-28 05:12:18] (step=0018000) Train Loss: 0.6392, Train Steps/Sec: 1.14
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+ [2025-10-28 05:13:46] (step=0018100) Train Loss: 0.6395, Train Steps/Sec: 1.14
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+ [2025-10-28 05:15:14] (step=0018200) Train Loss: 0.6380, Train Steps/Sec: 1.14
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+ [2025-10-28 05:16:42] (step=0018300) Train Loss: 0.6399, Train Steps/Sec: 1.14
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+ [2025-10-28 05:18:10] (step=0018400) Train Loss: 0.6391, Train Steps/Sec: 1.14
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+ [2025-10-28 05:19:38] (step=0018500) Train Loss: 0.6381, Train Steps/Sec: 1.14
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+ [2025-10-28 05:21:06] (step=0018600) Train Loss: 0.6369, Train Steps/Sec: 1.14
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+ [2025-10-28 05:22:34] (step=0018700) Train Loss: 0.6382, Train Steps/Sec: 1.14
228
+ [2025-10-28 05:23:32] Beginning epoch 15...
229
+ [2025-10-28 05:24:05] (step=0018800) Train Loss: 0.6374, Train Steps/Sec: 1.10
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+ [2025-10-28 05:25:33] (step=0018900) Train Loss: 0.6372, Train Steps/Sec: 1.14
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+ [2025-10-28 05:27:01] (step=0019000) Train Loss: 0.6381, Train Steps/Sec: 1.14
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+ [2025-10-28 05:28:29] (step=0019100) Train Loss: 0.6360, Train Steps/Sec: 1.14
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+ [2025-10-28 05:29:57] (step=0019200) Train Loss: 0.6372, Train Steps/Sec: 1.14
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+ [2025-10-28 05:31:25] (step=0019300) Train Loss: 0.6366, Train Steps/Sec: 1.14
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+ [2025-10-28 05:32:53] (step=0019400) Train Loss: 0.6361, Train Steps/Sec: 1.14
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+ [2025-10-28 05:34:21] (step=0019500) Train Loss: 0.6370, Train Steps/Sec: 1.14
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+ [2025-10-28 05:35:49] (step=0019600) Train Loss: 0.6356, Train Steps/Sec: 1.13
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+ [2025-10-28 05:37:17] (step=0019700) Train Loss: 0.6352, Train Steps/Sec: 1.14
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+ [2025-10-28 05:38:45] (step=0019800) Train Loss: 0.6362, Train Steps/Sec: 1.14
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+ [2025-10-28 05:40:13] (step=0019900) Train Loss: 0.6374, Train Steps/Sec: 1.14
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+ [2025-10-28 05:41:41] (step=0020000) Train Loss: 0.6350, Train Steps/Sec: 1.14
242
+ [2025-10-28 05:41:55] Beginning epoch 16...
243
+ [2025-10-28 05:43:11] (step=0020100) Train Loss: 0.6363, Train Steps/Sec: 1.10
244
+ [2025-10-28 05:44:39] (step=0020200) Train Loss: 0.6343, Train Steps/Sec: 1.14
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+ [2025-10-28 05:46:07] (step=0020300) Train Loss: 0.6360, Train Steps/Sec: 1.14
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+ [2025-10-28 05:47:35] (step=0020400) Train Loss: 0.6334, Train Steps/Sec: 1.14
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+ [2025-10-28 05:49:04] (step=0020500) Train Loss: 0.6353, Train Steps/Sec: 1.13
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+ [2025-10-28 05:50:32] (step=0020600) Train Loss: 0.6343, Train Steps/Sec: 1.14
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+ [2025-10-28 05:52:00] (step=0020700) Train Loss: 0.6348, Train Steps/Sec: 1.14
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+ [2025-10-28 05:53:28] (step=0020800) Train Loss: 0.6345, Train Steps/Sec: 1.14
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+ [2025-10-28 05:54:56] (step=0020900) Train Loss: 0.6349, Train Steps/Sec: 1.14
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+ [2025-10-28 05:56:24] (step=0021000) Train Loss: 0.6349, Train Steps/Sec: 1.14
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+ [2025-10-28 05:57:52] (step=0021100) Train Loss: 0.6327, Train Steps/Sec: 1.14
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+ [2025-10-28 05:59:20] (step=0021200) Train Loss: 0.6339, Train Steps/Sec: 1.14
255
+ [2025-10-28 06:00:19] Beginning epoch 17...
256
+ [2025-10-28 06:00:50] (step=0021300) Train Loss: 0.6334, Train Steps/Sec: 1.10
257
+ [2025-10-28 06:02:19] (step=0021400) Train Loss: 0.6341, Train Steps/Sec: 1.14
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+ [2025-10-28 06:03:46] (step=0021500) Train Loss: 0.6339, Train Steps/Sec: 1.14
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+ [2025-10-28 06:05:15] (step=0021600) Train Loss: 0.6335, Train Steps/Sec: 1.13
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+ [2025-10-28 06:06:43] (step=0021700) Train Loss: 0.6341, Train Steps/Sec: 1.14
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+ [2025-10-28 06:08:11] (step=0021800) Train Loss: 0.6330, Train Steps/Sec: 1.14
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+ [2025-10-28 06:09:38] (step=0021900) Train Loss: 0.6327, Train Steps/Sec: 1.14
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+ [2025-10-28 06:11:06] (step=0022000) Train Loss: 0.6326, Train Steps/Sec: 1.14
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+ [2025-10-28 06:12:34] (step=0022100) Train Loss: 0.6337, Train Steps/Sec: 1.14
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+ [2025-10-28 06:14:03] (step=0022200) Train Loss: 0.6329, Train Steps/Sec: 1.13
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+ [2025-10-28 06:15:31] (step=0022300) Train Loss: 0.6337, Train Steps/Sec: 1.14
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+ [2025-10-28 06:16:59] (step=0022400) Train Loss: 0.6314, Train Steps/Sec: 1.14
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+ [2025-10-28 06:18:27] (step=0022500) Train Loss: 0.6318, Train Steps/Sec: 1.14
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+ [2025-10-28 06:18:43] Beginning epoch 18...
270
+ [2025-10-28 06:19:58] (step=0022600) Train Loss: 0.6312, Train Steps/Sec: 1.10
271
+ [2025-10-28 06:21:26] (step=0022700) Train Loss: 0.6324, Train Steps/Sec: 1.14
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+ [2025-10-28 06:22:53] (step=0022800) Train Loss: 0.6324, Train Steps/Sec: 1.14
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+ [2025-10-28 06:24:21] (step=0022900) Train Loss: 0.6312, Train Steps/Sec: 1.14
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+ [2025-10-28 06:25:50] (step=0023000) Train Loss: 0.6323, Train Steps/Sec: 1.13
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+ [2025-10-28 06:27:18] (step=0023100) Train Loss: 0.6309, Train Steps/Sec: 1.14
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+ [2025-10-28 06:28:46] (step=0023200) Train Loss: 0.6314, Train Steps/Sec: 1.14
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+ [2025-10-28 06:30:14] (step=0023300) Train Loss: 0.6296, Train Steps/Sec: 1.14
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+ [2025-10-28 06:31:42] (step=0023400) Train Loss: 0.6317, Train Steps/Sec: 1.14
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+ [2025-10-28 06:33:10] (step=0023500) Train Loss: 0.6327, Train Steps/Sec: 1.14
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+ [2025-10-28 06:34:38] (step=0023600) Train Loss: 0.6318, Train Steps/Sec: 1.14
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+ [2025-10-28 06:36:06] (step=0023700) Train Loss: 0.6311, Train Steps/Sec: 1.14
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+ [2025-10-28 06:37:07] Beginning epoch 19...
283
+ [2025-10-28 06:37:36] (step=0023800) Train Loss: 0.6306, Train Steps/Sec: 1.10
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+ [2025-10-28 06:39:05] (step=0023900) Train Loss: 0.6292, Train Steps/Sec: 1.13
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+ [2025-10-28 06:40:33] (step=0024000) Train Loss: 0.6312, Train Steps/Sec: 1.13
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+ [2025-10-28 06:42:01] (step=0024100) Train Loss: 0.6299, Train Steps/Sec: 1.14
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+ [2025-10-28 06:43:29] (step=0024200) Train Loss: 0.6294, Train Steps/Sec: 1.14
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+ [2025-10-28 06:44:57] (step=0024300) Train Loss: 0.6301, Train Steps/Sec: 1.14
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+ [2025-10-28 06:46:25] (step=0024400) Train Loss: 0.6299, Train Steps/Sec: 1.14
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+ [2025-10-28 06:47:53] (step=0024500) Train Loss: 0.6308, Train Steps/Sec: 1.14
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+ [2025-10-28 06:49:21] (step=0024600) Train Loss: 0.6306, Train Steps/Sec: 1.14
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+ [2025-10-28 06:50:49] (step=0024700) Train Loss: 0.6302, Train Steps/Sec: 1.13
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+ [2025-10-28 06:52:17] (step=0024800) Train Loss: 0.6288, Train Steps/Sec: 1.14
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+ [2025-10-28 06:53:45] (step=0024900) Train Loss: 0.6301, Train Steps/Sec: 1.14
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+ [2025-10-28 06:55:13] (step=0025000) Train Loss: 0.6293, Train Steps/Sec: 1.14
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+ [2025-10-28 06:56:13] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-pe-vit-l-bf16/checkpoints/0025000.pt
297
+ [2025-10-28 06:56:13] Generating EMA samples...
298
+ [2025-10-28 06:56:41] Generating EMA samples done.
299
+ [2025-10-28 06:56:59] Beginning epoch 20...
300
+ [2025-10-28 06:58:12] (step=0025100) Train Loss: 0.6296, Train Steps/Sec: 0.56
301
+ [2025-10-28 06:59:40] (step=0025200) Train Loss: 0.6294, Train Steps/Sec: 1.14
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+ [2025-10-28 07:01:08] (step=0025300) Train Loss: 0.6300, Train Steps/Sec: 1.14
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+ [2025-10-28 07:02:36] (step=0025400) Train Loss: 0.6292, Train Steps/Sec: 1.14
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+ [2025-10-28 07:04:04] (step=0025500) Train Loss: 0.6300, Train Steps/Sec: 1.14
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+ [2025-10-28 07:05:32] (step=0025600) Train Loss: 0.6287, Train Steps/Sec: 1.13
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+ [2025-10-28 07:07:00] (step=0025700) Train Loss: 0.6276, Train Steps/Sec: 1.14
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+ [2025-10-28 07:08:28] (step=0025800) Train Loss: 0.6287, Train Steps/Sec: 1.14
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+ [2025-10-28 07:09:56] (step=0025900) Train Loss: 0.6282, Train Steps/Sec: 1.14
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+ [2025-10-28 07:11:24] (step=0026000) Train Loss: 0.6282, Train Steps/Sec: 1.14
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+ [2025-10-28 07:12:52] (step=0026100) Train Loss: 0.6292, Train Steps/Sec: 1.14
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+ [2025-10-28 07:14:20] (step=0026200) Train Loss: 0.6280, Train Steps/Sec: 1.14
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+ [2025-10-28 07:15:23] Beginning epoch 21...
313
+ [2025-10-28 07:15:52] (step=0026300) Train Loss: 0.6276, Train Steps/Sec: 1.09
314
+ [2025-10-28 07:17:20] (step=0026400) Train Loss: 0.6274, Train Steps/Sec: 1.13
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+ [2025-10-28 07:18:48] (step=0026500) Train Loss: 0.6270, Train Steps/Sec: 1.14
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+ [2025-10-28 07:20:16] (step=0026600) Train Loss: 0.6286, Train Steps/Sec: 1.14
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+ [2025-10-28 07:21:44] (step=0026700) Train Loss: 0.6275, Train Steps/Sec: 1.14
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+ [2025-10-28 07:23:12] (step=0026800) Train Loss: 0.6276, Train Steps/Sec: 1.14
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+ [2025-10-28 07:24:40] (step=0026900) Train Loss: 0.6266, Train Steps/Sec: 1.14
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+ [2025-10-28 07:26:08] (step=0027000) Train Loss: 0.6263, Train Steps/Sec: 1.14
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+ [2025-10-28 07:27:36] (step=0027100) Train Loss: 0.6293, Train Steps/Sec: 1.14
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+ [2025-10-28 07:29:04] (step=0027200) Train Loss: 0.6273, Train Steps/Sec: 1.14
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+ [2025-10-28 07:30:32] (step=0027300) Train Loss: 0.6275, Train Steps/Sec: 1.13
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+ [2025-10-28 07:32:00] (step=0027400) Train Loss: 0.6280, Train Steps/Sec: 1.14
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+ [2025-10-28 07:33:28] (step=0027500) Train Loss: 0.6268, Train Steps/Sec: 1.14
326
+ [2025-10-28 07:33:48] Beginning epoch 22...
327
+ [2025-10-28 07:35:00] (step=0027600) Train Loss: 0.6272, Train Steps/Sec: 1.09
328
+ [2025-10-28 07:36:28] (step=0027700) Train Loss: 0.6263, Train Steps/Sec: 1.14
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+ [2025-10-28 07:37:56] (step=0027800) Train Loss: 0.6262, Train Steps/Sec: 1.14
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+ [2025-10-28 07:39:24] (step=0027900) Train Loss: 0.6259, Train Steps/Sec: 1.14
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+ [2025-10-28 07:40:52] (step=0028000) Train Loss: 0.6276, Train Steps/Sec: 1.14
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+ [2025-10-28 07:42:20] (step=0028100) Train Loss: 0.6276, Train Steps/Sec: 1.13
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+ [2025-10-28 07:43:48] (step=0028200) Train Loss: 0.6272, Train Steps/Sec: 1.14
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+ [2025-10-28 07:45:16] (step=0028300) Train Loss: 0.6257, Train Steps/Sec: 1.14
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+ [2025-10-28 07:46:44] (step=0028400) Train Loss: 0.6265, Train Steps/Sec: 1.14
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+ [2025-10-28 07:48:12] (step=0028500) Train Loss: 0.6263, Train Steps/Sec: 1.14
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+ [2025-10-28 07:49:40] (step=0028600) Train Loss: 0.6276, Train Steps/Sec: 1.14
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+ [2025-10-28 07:51:08] (step=0028700) Train Loss: 0.6239, Train Steps/Sec: 1.14
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+ [2025-10-28 07:52:13] Beginning epoch 23...
340
+ [2025-10-28 07:52:40] (step=0028800) Train Loss: 0.6259, Train Steps/Sec: 1.09
341
+ [2025-10-28 07:54:07] (step=0028900) Train Loss: 0.6249, Train Steps/Sec: 1.14
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+ [2025-10-28 07:55:36] (step=0029000) Train Loss: 0.6258, Train Steps/Sec: 1.13
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+ [2025-10-28 07:57:04] (step=0029100) Train Loss: 0.6256, Train Steps/Sec: 1.14
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+ [2025-10-28 07:58:32] (step=0029200) Train Loss: 0.6256, Train Steps/Sec: 1.14
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+ [2025-10-28 08:00:00] (step=0029300) Train Loss: 0.6237, Train Steps/Sec: 1.13
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+ [2025-10-28 08:01:28] (step=0029400) Train Loss: 0.6248, Train Steps/Sec: 1.14
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+ [2025-10-28 08:02:56] (step=0029500) Train Loss: 0.6260, Train Steps/Sec: 1.14
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+ [2025-10-28 08:04:24] (step=0029600) Train Loss: 0.6253, Train Steps/Sec: 1.14
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+ [2025-10-28 08:05:52] (step=0029700) Train Loss: 0.6262, Train Steps/Sec: 1.14
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+ [2025-10-28 08:07:20] (step=0029800) Train Loss: 0.6248, Train Steps/Sec: 1.13
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+ [2025-10-28 08:08:48] (step=0029900) Train Loss: 0.6253, Train Steps/Sec: 1.14
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+ [2025-10-28 08:10:16] (step=0030000) Train Loss: 0.6255, Train Steps/Sec: 1.14
353
+ [2025-10-28 08:10:38] Beginning epoch 24...
354
+ [2025-10-28 08:11:48] (step=0030100) Train Loss: 0.6260, Train Steps/Sec: 1.09
355
+ [2025-10-28 08:13:16] (step=0030200) Train Loss: 0.6235, Train Steps/Sec: 1.14
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+ [2025-10-28 08:14:44] (step=0030300) Train Loss: 0.6239, Train Steps/Sec: 1.14
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+ [2025-10-28 08:16:12] (step=0030400) Train Loss: 0.6234, Train Steps/Sec: 1.14
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+ [2025-10-28 08:17:40] (step=0030500) Train Loss: 0.6245, Train Steps/Sec: 1.14
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+ [2025-10-28 08:19:08] (step=0030600) Train Loss: 0.6231, Train Steps/Sec: 1.14
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+ [2025-10-28 08:20:36] (step=0030700) Train Loss: 0.6243, Train Steps/Sec: 1.13
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+ [2025-10-28 08:22:04] (step=0030800) Train Loss: 0.6246, Train Steps/Sec: 1.14
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+ [2025-10-28 08:23:32] (step=0030900) Train Loss: 0.6255, Train Steps/Sec: 1.14
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+ [2025-10-28 08:25:00] (step=0031000) Train Loss: 0.6257, Train Steps/Sec: 1.14
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+ [2025-10-28 08:26:28] (step=0031100) Train Loss: 0.6260, Train Steps/Sec: 1.14
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+ [2025-10-28 08:27:56] (step=0031200) Train Loss: 0.6255, Train Steps/Sec: 1.14
366
+ [2025-10-28 08:29:02] Beginning epoch 25...
367
+ [2025-10-28 08:29:27] (step=0031300) Train Loss: 0.6222, Train Steps/Sec: 1.10
368
+ [2025-10-28 08:30:55] (step=0031400) Train Loss: 0.6243, Train Steps/Sec: 1.14
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+ [2025-10-28 08:32:23] (step=0031500) Train Loss: 0.6246, Train Steps/Sec: 1.13
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+ [2025-10-28 08:33:51] (step=0031600) Train Loss: 0.6227, Train Steps/Sec: 1.13
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+ [2025-10-28 08:35:19] (step=0031700) Train Loss: 0.6232, Train Steps/Sec: 1.14
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+ [2025-10-28 08:36:47] (step=0031800) Train Loss: 0.6223, Train Steps/Sec: 1.14
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+ [2025-10-28 08:38:15] (step=0031900) Train Loss: 0.6234, Train Steps/Sec: 1.14
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+ [2025-10-28 08:39:43] (step=0032000) Train Loss: 0.6231, Train Steps/Sec: 1.14
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+ [2025-10-28 08:41:11] (step=0032100) Train Loss: 0.6235, Train Steps/Sec: 1.14
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+ [2025-10-28 08:42:39] (step=0032200) Train Loss: 0.6226, Train Steps/Sec: 1.14
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+ [2025-10-28 08:44:07] (step=0032300) Train Loss: 0.6230, Train Steps/Sec: 1.14
378
+ [2025-10-28 08:45:35] (step=0032400) Train Loss: 0.6229, Train Steps/Sec: 1.13
379
+ [2025-10-28 08:47:03] (step=0032500) Train Loss: 0.6237, Train Steps/Sec: 1.14
380
+ [2025-10-28 08:47:27] Beginning epoch 26...
381
+ [2025-10-28 08:48:34] (step=0032600) Train Loss: 0.6230, Train Steps/Sec: 1.10
382
+ [2025-10-28 08:50:02] (step=0032700) Train Loss: 0.6219, Train Steps/Sec: 1.14
383
+ [2025-10-28 08:51:30] (step=0032800) Train Loss: 0.6225, Train Steps/Sec: 1.14
384
+ [2025-10-28 08:52:58] (step=0032900) Train Loss: 0.6211, Train Steps/Sec: 1.14
385
+ [2025-10-28 08:54:26] (step=0033000) Train Loss: 0.6227, Train Steps/Sec: 1.14
386
+ [2025-10-28 08:55:54] (step=0033100) Train Loss: 0.6224, Train Steps/Sec: 1.14
387
+ [2025-10-28 08:57:23] (step=0033200) Train Loss: 0.6220, Train Steps/Sec: 1.13
388
+ [2025-10-28 08:58:51] (step=0033300) Train Loss: 0.6227, Train Steps/Sec: 1.14
389
+ [2025-10-28 09:00:19] (step=0033400) Train Loss: 0.6213, Train Steps/Sec: 1.14
390
+ [2025-10-28 09:01:47] (step=0033500) Train Loss: 0.6237, Train Steps/Sec: 1.14
391
+ [2025-10-28 09:03:14] (step=0033600) Train Loss: 0.6230, Train Steps/Sec: 1.14
392
+ [2025-10-28 09:04:42] (step=0033700) Train Loss: 0.6215, Train Steps/Sec: 1.14
393
+ [2025-10-28 09:05:51] Beginning epoch 27...
394
+ [2025-10-28 09:06:13] (step=0033800) Train Loss: 0.6211, Train Steps/Sec: 1.10
395
+ [2025-10-28 09:07:41] (step=0033900) Train Loss: 0.6204, Train Steps/Sec: 1.14
396
+ [2025-10-28 09:09:09] (step=0034000) Train Loss: 0.6215, Train Steps/Sec: 1.13
397
+ [2025-10-28 09:10:38] (step=0034100) Train Loss: 0.6207, Train Steps/Sec: 1.13
398
+ [2025-10-28 09:12:06] (step=0034200) Train Loss: 0.6213, Train Steps/Sec: 1.14
399
+ [2025-10-28 09:13:34] (step=0034300) Train Loss: 0.6206, Train Steps/Sec: 1.14
400
+ [2025-10-28 09:15:01] (step=0034400) Train Loss: 0.6206, Train Steps/Sec: 1.14
401
+ [2025-10-28 09:16:29] (step=0034500) Train Loss: 0.6213, Train Steps/Sec: 1.14
402
+ [2025-10-28 09:17:57] (step=0034600) Train Loss: 0.6225, Train Steps/Sec: 1.14
403
+ [2025-10-28 09:19:25] (step=0034700) Train Loss: 0.6212, Train Steps/Sec: 1.14
404
+ [2025-10-28 09:20:53] (step=0034800) Train Loss: 0.6206, Train Steps/Sec: 1.14
405
+ [2025-10-28 09:22:22] (step=0034900) Train Loss: 0.6217, Train Steps/Sec: 1.13
406
+ [2025-10-28 09:23:50] (step=0035000) Train Loss: 0.6211, Train Steps/Sec: 1.14
407
+ [2025-10-28 09:24:15] Beginning epoch 28...
408
+ [2025-10-28 09:25:21] (step=0035100) Train Loss: 0.6208, Train Steps/Sec: 1.10
409
+ [2025-10-28 09:26:49] (step=0035200) Train Loss: 0.6223, Train Steps/Sec: 1.14
410
+ [2025-10-28 09:28:17] (step=0035300) Train Loss: 0.6211, Train Steps/Sec: 1.14
411
+ [2025-10-28 09:29:45] (step=0035400) Train Loss: 0.6201, Train Steps/Sec: 1.14
412
+ [2025-10-28 09:31:13] (step=0035500) Train Loss: 0.6204, Train Steps/Sec: 1.14
413
+ [2025-10-28 09:32:41] (step=0035600) Train Loss: 0.6200, Train Steps/Sec: 1.14
414
+ [2025-10-28 09:34:09] (step=0035700) Train Loss: 0.6211, Train Steps/Sec: 1.14
415
+ [2025-10-28 09:35:37] (step=0035800) Train Loss: 0.6209, Train Steps/Sec: 1.13
416
+ [2025-10-28 09:37:05] (step=0035900) Train Loss: 0.6209, Train Steps/Sec: 1.14
417
+ [2025-10-28 09:38:33] (step=0036000) Train Loss: 0.6209, Train Steps/Sec: 1.14
418
+ [2025-10-28 09:40:01] (step=0036100) Train Loss: 0.6206, Train Steps/Sec: 1.14
419
+ [2025-10-28 09:41:29] (step=0036200) Train Loss: 0.6202, Train Steps/Sec: 1.14
420
+ [2025-10-28 09:42:39] Beginning epoch 29...
421
+ [2025-10-28 09:43:00] (step=0036300) Train Loss: 0.6189, Train Steps/Sec: 1.10
422
+ [2025-10-28 09:44:28] (step=0036400) Train Loss: 0.6199, Train Steps/Sec: 1.14
423
+ [2025-10-28 09:45:56] (step=0036500) Train Loss: 0.6203, Train Steps/Sec: 1.14
424
+ [2025-10-28 09:47:24] (step=0036600) Train Loss: 0.6198, Train Steps/Sec: 1.13
425
+ [2025-10-28 09:48:52] (step=0036700) Train Loss: 0.6204, Train Steps/Sec: 1.14
426
+ [2025-10-28 09:50:20] (step=0036800) Train Loss: 0.6197, Train Steps/Sec: 1.14
427
+ [2025-10-28 09:51:48] (step=0036900) Train Loss: 0.6193, Train Steps/Sec: 1.14
428
+ [2025-10-28 09:53:16] (step=0037000) Train Loss: 0.6197, Train Steps/Sec: 1.14
429
+ [2025-10-28 09:54:44] (step=0037100) Train Loss: 0.6191, Train Steps/Sec: 1.14
430
+ [2025-10-28 09:56:12] (step=0037200) Train Loss: 0.6185, Train Steps/Sec: 1.14
431
+ [2025-10-28 09:57:40] (step=0037300) Train Loss: 0.6193, Train Steps/Sec: 1.14
432
+ [2025-10-28 09:59:08] (step=0037400) Train Loss: 0.6200, Train Steps/Sec: 1.14
433
+ [2025-10-28 10:00:36] (step=0037500) Train Loss: 0.6199, Train Steps/Sec: 1.14
434
+ [2025-10-28 10:01:03] Beginning epoch 30...
435
+ [2025-10-28 10:02:07] (step=0037600) Train Loss: 0.6201, Train Steps/Sec: 1.10
436
+ [2025-10-28 10:03:35] (step=0037700) Train Loss: 0.6200, Train Steps/Sec: 1.14
437
+ [2025-10-28 10:05:03] (step=0037800) Train Loss: 0.6192, Train Steps/Sec: 1.14
438
+ [2025-10-28 10:06:31] (step=0037900) Train Loss: 0.6198, Train Steps/Sec: 1.14
439
+ [2025-10-28 10:07:59] (step=0038000) Train Loss: 0.6176, Train Steps/Sec: 1.14
440
+ [2025-10-28 10:09:27] (step=0038100) Train Loss: 0.6174, Train Steps/Sec: 1.14
441
+ [2025-10-28 10:10:55] (step=0038200) Train Loss: 0.6193, Train Steps/Sec: 1.14
442
+ [2025-10-28 10:12:23] (step=0038300) Train Loss: 0.6195, Train Steps/Sec: 1.13
443
+ [2025-10-28 10:13:51] (step=0038400) Train Loss: 0.6191, Train Steps/Sec: 1.14
444
+ [2025-10-28 10:15:19] (step=0038500) Train Loss: 0.6191, Train Steps/Sec: 1.14
445
+ [2025-10-28 10:16:47] (step=0038600) Train Loss: 0.6177, Train Steps/Sec: 1.14
446
+ [2025-10-28 10:18:15] (step=0038700) Train Loss: 0.6191, Train Steps/Sec: 1.14
447
+ [2025-10-28 10:19:27] Beginning epoch 31...
448
+ [2025-10-28 10:19:46] (step=0038800) Train Loss: 0.6188, Train Steps/Sec: 1.10
449
+ [2025-10-28 10:21:14] (step=0038900) Train Loss: 0.6189, Train Steps/Sec: 1.14
450
+ [2025-10-28 10:22:42] (step=0039000) Train Loss: 0.6197, Train Steps/Sec: 1.14
451
+ [2025-10-28 10:24:10] (step=0039100) Train Loss: 0.6188, Train Steps/Sec: 1.13
452
+ [2025-10-28 10:25:39] (step=0039200) Train Loss: 0.6175, Train Steps/Sec: 1.13
453
+ [2025-10-28 10:27:07] (step=0039300) Train Loss: 0.6188, Train Steps/Sec: 1.14
454
+ [2025-10-28 10:28:35] (step=0039400) Train Loss: 0.6185, Train Steps/Sec: 1.14
455
+ [2025-10-28 10:30:02] (step=0039500) Train Loss: 0.6194, Train Steps/Sec: 1.14
456
+ [2025-10-28 10:31:30] (step=0039600) Train Loss: 0.6195, Train Steps/Sec: 1.14
457
+ [2025-10-28 10:32:58] (step=0039700) Train Loss: 0.6175, Train Steps/Sec: 1.14
458
+ [2025-10-28 10:34:26] (step=0039800) Train Loss: 0.6181, Train Steps/Sec: 1.14
459
+ [2025-10-28 10:35:54] (step=0039900) Train Loss: 0.6192, Train Steps/Sec: 1.14
460
+ [2025-10-28 10:37:22] (step=0040000) Train Loss: 0.6186, Train Steps/Sec: 1.13
461
+ [2025-10-28 10:37:51] Beginning epoch 32...
462
+ [2025-10-28 10:38:54] (step=0040100) Train Loss: 0.6176, Train Steps/Sec: 1.10
463
+ [2025-10-28 10:40:22] (step=0040200) Train Loss: 0.6176, Train Steps/Sec: 1.14
464
+ [2025-10-28 10:41:49] (step=0040300) Train Loss: 0.6177, Train Steps/Sec: 1.14
465
+ [2025-10-28 10:43:17] (step=0040400) Train Loss: 0.6189, Train Steps/Sec: 1.14
466
+ [2025-10-28 10:44:45] (step=0040500) Train Loss: 0.6188, Train Steps/Sec: 1.14
467
+ [2025-10-28 10:46:13] (step=0040600) Train Loss: 0.6188, Train Steps/Sec: 1.14
468
+ [2025-10-28 10:47:41] (step=0040700) Train Loss: 0.6191, Train Steps/Sec: 1.14
469
+ [2025-10-28 10:49:09] (step=0040800) Train Loss: 0.6183, Train Steps/Sec: 1.14
470
+ [2025-10-28 10:50:38] (step=0040900) Train Loss: 0.6171, Train Steps/Sec: 1.13
471
+ [2025-10-28 10:52:06] (step=0041000) Train Loss: 0.6176, Train Steps/Sec: 1.14
472
+ [2025-10-28 10:53:34] (step=0041100) Train Loss: 0.6168, Train Steps/Sec: 1.14
473
+ [2025-10-28 10:55:02] (step=0041200) Train Loss: 0.6161, Train Steps/Sec: 1.14
474
+ [2025-10-28 10:56:15] Beginning epoch 33...
475
+ [2025-10-28 10:56:33] (step=0041300) Train Loss: 0.6171, Train Steps/Sec: 1.10
476
+ [2025-10-28 10:58:01] (step=0041400) Train Loss: 0.6169, Train Steps/Sec: 1.14
477
+ [2025-10-28 10:59:28] (step=0041500) Train Loss: 0.6167, Train Steps/Sec: 1.14
478
+ [2025-10-28 11:00:56] (step=0041600) Train Loss: 0.6170, Train Steps/Sec: 1.14
479
+ [2025-10-28 11:02:25] (step=0041700) Train Loss: 0.6165, Train Steps/Sec: 1.13
480
+ [2025-10-28 11:03:53] (step=0041800) Train Loss: 0.6176, Train Steps/Sec: 1.13
481
+ [2025-10-28 11:05:21] (step=0041900) Train Loss: 0.6174, Train Steps/Sec: 1.14
482
+ [2025-10-28 11:06:49] (step=0042000) Train Loss: 0.6179, Train Steps/Sec: 1.14
483
+ [2025-10-28 11:08:17] (step=0042100) Train Loss: 0.6173, Train Steps/Sec: 1.14
484
+ [2025-10-28 11:09:45] (step=0042200) Train Loss: 0.6177, Train Steps/Sec: 1.14
485
+ [2025-10-28 11:11:13] (step=0042300) Train Loss: 0.6158, Train Steps/Sec: 1.14
486
+ [2025-10-28 11:12:41] (step=0042400) Train Loss: 0.6165, Train Steps/Sec: 1.14
487
+ [2025-10-28 11:14:09] (step=0042500) Train Loss: 0.6169, Train Steps/Sec: 1.14
488
+ [2025-10-28 11:14:40] Beginning epoch 34...
489
+ [2025-10-28 11:15:40] (step=0042600) Train Loss: 0.6165, Train Steps/Sec: 1.10
490
+ [2025-10-28 11:17:08] (step=0042700) Train Loss: 0.6170, Train Steps/Sec: 1.14
491
+ [2025-10-28 11:18:36] (step=0042800) Train Loss: 0.6158, Train Steps/Sec: 1.14
492
+ [2025-10-28 11:20:04] (step=0042900) Train Loss: 0.6160, Train Steps/Sec: 1.14
493
+ [2025-10-28 11:21:32] (step=0043000) Train Loss: 0.6167, Train Steps/Sec: 1.14
494
+ [2025-10-28 11:23:00] (step=0043100) Train Loss: 0.6158, Train Steps/Sec: 1.14
495
+ [2025-10-28 11:24:28] (step=0043200) Train Loss: 0.6154, Train Steps/Sec: 1.14
496
+ [2025-10-28 11:25:56] (step=0043300) Train Loss: 0.6171, Train Steps/Sec: 1.14
497
+ [2025-10-28 11:27:24] (step=0043400) Train Loss: 0.6181, Train Steps/Sec: 1.13
498
+ [2025-10-28 11:28:52] (step=0043500) Train Loss: 0.6149, Train Steps/Sec: 1.14
499
+ [2025-10-28 11:30:20] (step=0043600) Train Loss: 0.6155, Train Steps/Sec: 1.14
500
+ [2025-10-28 11:31:48] (step=0043700) Train Loss: 0.6163, Train Steps/Sec: 1.14
501
+ [2025-10-28 11:33:03] Beginning epoch 35...
502
+ [2025-10-28 11:33:20] (step=0043800) Train Loss: 0.6175, Train Steps/Sec: 1.09
503
+ [2025-10-28 11:34:48] (step=0043900) Train Loss: 0.6174, Train Steps/Sec: 1.14
504
+ [2025-10-28 11:36:16] (step=0044000) Train Loss: 0.6172, Train Steps/Sec: 1.14
505
+ [2025-10-28 11:37:44] (step=0044100) Train Loss: 0.6148, Train Steps/Sec: 1.14
506
+ [2025-10-28 11:39:12] (step=0044200) Train Loss: 0.6157, Train Steps/Sec: 1.13
507
+ [2025-10-28 11:40:40] (step=0044300) Train Loss: 0.6160, Train Steps/Sec: 1.13
508
+ [2025-10-28 11:42:08] (step=0044400) Train Loss: 0.6152, Train Steps/Sec: 1.14
509
+ [2025-10-28 11:43:36] (step=0044500) Train Loss: 0.6157, Train Steps/Sec: 1.14
510
+ [2025-10-28 11:45:04] (step=0044600) Train Loss: 0.6157, Train Steps/Sec: 1.14
511
+ [2025-10-28 11:46:32] (step=0044700) Train Loss: 0.6156, Train Steps/Sec: 1.14
512
+ [2025-10-28 11:48:00] (step=0044800) Train Loss: 0.6162, Train Steps/Sec: 1.14
513
+ [2025-10-28 11:49:28] (step=0044900) Train Loss: 0.6156, Train Steps/Sec: 1.14
514
+ [2025-10-28 11:50:56] (step=0045000) Train Loss: 0.6160, Train Steps/Sec: 1.14
515
+ [2025-10-28 11:51:28] Beginning epoch 36...
516
+ [2025-10-28 11:52:28] (step=0045100) Train Loss: 0.6170, Train Steps/Sec: 1.09
517
+ [2025-10-28 11:53:56] (step=0045200) Train Loss: 0.6164, Train Steps/Sec: 1.13
518
+ [2025-10-28 11:55:24] (step=0045300) Train Loss: 0.6152, Train Steps/Sec: 1.14
519
+ [2025-10-28 11:56:52] (step=0045400) Train Loss: 0.6163, Train Steps/Sec: 1.14
520
+ [2025-10-28 11:58:20] (step=0045500) Train Loss: 0.6159, Train Steps/Sec: 1.14
521
+ [2025-10-28 11:59:48] (step=0045600) Train Loss: 0.6159, Train Steps/Sec: 1.14
522
+ [2025-10-28 12:01:16] (step=0045700) Train Loss: 0.6156, Train Steps/Sec: 1.14
523
+ [2025-10-28 12:02:43] (step=0045800) Train Loss: 0.6155, Train Steps/Sec: 1.14
524
+ [2025-10-28 12:04:12] (step=0045900) Train Loss: 0.6154, Train Steps/Sec: 1.14
525
+ [2025-10-28 12:05:40] (step=0046000) Train Loss: 0.6150, Train Steps/Sec: 1.13
526
+ [2025-10-28 12:07:08] (step=0046100) Train Loss: 0.6145, Train Steps/Sec: 1.14
527
+ [2025-10-28 12:08:36] (step=0046200) Train Loss: 0.6154, Train Steps/Sec: 1.14
528
+ [2025-10-28 12:09:53] Beginning epoch 37...
529
+ [2025-10-28 12:10:07] (step=0046300) Train Loss: 0.6146, Train Steps/Sec: 1.10
530
+ [2025-10-28 12:11:35] (step=0046400) Train Loss: 0.6148, Train Steps/Sec: 1.14
531
+ [2025-10-28 12:13:03] (step=0046500) Train Loss: 0.6161, Train Steps/Sec: 1.14
532
+ [2025-10-28 12:14:31] (step=0046600) Train Loss: 0.6150, Train Steps/Sec: 1.14
533
+ [2025-10-28 12:15:59] (step=0046700) Train Loss: 0.6142, Train Steps/Sec: 1.14
534
+ [2025-10-28 12:17:27] (step=0046800) Train Loss: 0.6150, Train Steps/Sec: 1.13
535
+ [2025-10-28 12:18:55] (step=0046900) Train Loss: 0.6136, Train Steps/Sec: 1.14
536
+ [2025-10-28 12:20:23] (step=0047000) Train Loss: 0.6157, Train Steps/Sec: 1.14
537
+ [2025-10-28 12:21:51] (step=0047100) Train Loss: 0.6150, Train Steps/Sec: 1.14
538
+ [2025-10-28 12:23:19] (step=0047200) Train Loss: 0.6138, Train Steps/Sec: 1.14
539
+ [2025-10-28 12:24:47] (step=0047300) Train Loss: 0.6150, Train Steps/Sec: 1.14
540
+ [2025-10-28 12:26:15] (step=0047400) Train Loss: 0.6148, Train Steps/Sec: 1.14
541
+ [2025-10-28 12:27:43] (step=0047500) Train Loss: 0.6153, Train Steps/Sec: 1.14
542
+ [2025-10-28 12:28:17] Beginning epoch 38...
543
+ [2025-10-28 12:29:14] (step=0047600) Train Loss: 0.6161, Train Steps/Sec: 1.10
544
+ [2025-10-28 12:30:42] (step=0047700) Train Loss: 0.6149, Train Steps/Sec: 1.13
545
+ [2025-10-28 12:32:10] (step=0047800) Train Loss: 0.6131, Train Steps/Sec: 1.14
546
+ [2025-10-28 12:33:38] (step=0047900) Train Loss: 0.6139, Train Steps/Sec: 1.14
547
+ [2025-10-28 12:35:06] (step=0048000) Train Loss: 0.6138, Train Steps/Sec: 1.14
548
+ [2025-10-28 12:36:34] (step=0048100) Train Loss: 0.6140, Train Steps/Sec: 1.14
549
+ [2025-10-28 12:38:02] (step=0048200) Train Loss: 0.6155, Train Steps/Sec: 1.14
550
+ [2025-10-28 12:39:30] (step=0048300) Train Loss: 0.6133, Train Steps/Sec: 1.14
551
+ [2025-10-28 12:40:58] (step=0048400) Train Loss: 0.6139, Train Steps/Sec: 1.14
552
+ [2025-10-28 12:42:26] (step=0048500) Train Loss: 0.6149, Train Steps/Sec: 1.13
553
+ [2025-10-28 12:43:54] (step=0048600) Train Loss: 0.6140, Train Steps/Sec: 1.14
554
+ [2025-10-28 12:45:22] (step=0048700) Train Loss: 0.6136, Train Steps/Sec: 1.14
555
+ [2025-10-28 12:46:41] Beginning epoch 39...
556
+ [2025-10-28 12:46:53] (step=0048800) Train Loss: 0.6138, Train Steps/Sec: 1.10
557
+ [2025-10-28 12:48:21] (step=0048900) Train Loss: 0.6138, Train Steps/Sec: 1.14
558
+ [2025-10-28 12:49:49] (step=0049000) Train Loss: 0.6146, Train Steps/Sec: 1.14
559
+ [2025-10-28 12:51:17] (step=0049100) Train Loss: 0.6136, Train Steps/Sec: 1.14
560
+ [2025-10-28 12:52:45] (step=0049200) Train Loss: 0.6126, Train Steps/Sec: 1.14
561
+ [2025-10-28 12:54:13] (step=0049300) Train Loss: 0.6148, Train Steps/Sec: 1.14
562
+ [2025-10-28 12:55:41] (step=0049400) Train Loss: 0.6139, Train Steps/Sec: 1.13
563
+ [2025-10-28 12:57:10] (step=0049500) Train Loss: 0.6145, Train Steps/Sec: 1.13
564
+ [2025-10-28 12:58:38] (step=0049600) Train Loss: 0.6138, Train Steps/Sec: 1.14
565
+ [2025-10-28 13:00:05] (step=0049700) Train Loss: 0.6149, Train Steps/Sec: 1.14
566
+ [2025-10-28 13:01:33] (step=0049800) Train Loss: 0.6132, Train Steps/Sec: 1.14
567
+ [2025-10-28 13:03:01] (step=0049900) Train Loss: 0.6148, Train Steps/Sec: 1.14
568
+ [2025-10-28 13:04:29] (step=0050000) Train Loss: 0.6135, Train Steps/Sec: 1.14
569
+ [2025-10-28 13:05:28] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-pe-vit-l-bf16/checkpoints/0050000.pt
570
+ [2025-10-28 13:05:28] Generating EMA samples...
571
+ [2025-10-28 13:05:57] Generating EMA samples done.
572
+ [2025-10-28 13:06:32] Beginning epoch 40...
573
+ [2025-10-28 13:07:27] (step=0050100) Train Loss: 0.6133, Train Steps/Sec: 0.56
574
+ [2025-10-28 13:08:55] (step=0050200) Train Loss: 0.6151, Train Steps/Sec: 1.13
575
+ [2025-10-28 13:10:23] (step=0050300) Train Loss: 0.6130, Train Steps/Sec: 1.14
576
+ [2025-10-28 13:11:51] (step=0050400) Train Loss: 0.6132, Train Steps/Sec: 1.14
577
+ [2025-10-28 13:13:19] (step=0050500) Train Loss: 0.6130, Train Steps/Sec: 1.14
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+ [2025-10-28 13:14:47] (step=0050600) Train Loss: 0.6129, Train Steps/Sec: 1.14
579
+ [2025-10-28 13:16:15] (step=0050700) Train Loss: 0.6135, Train Steps/Sec: 1.14
580
+ [2025-10-28 13:17:43] (step=0050800) Train Loss: 0.6135, Train Steps/Sec: 1.14
581
+ [2025-10-28 13:19:11] (step=0050900) Train Loss: 0.6128, Train Steps/Sec: 1.14
582
+ [2025-10-28 13:20:39] (step=0051000) Train Loss: 0.6128, Train Steps/Sec: 1.13
583
+ [2025-10-28 13:22:07] (step=0051100) Train Loss: 0.6128, Train Steps/Sec: 1.13
584
+ [2025-10-28 13:23:35] (step=0051200) Train Loss: 0.6122, Train Steps/Sec: 1.14
585
+ [2025-10-28 13:24:56] Beginning epoch 41...
586
+ [2025-10-28 13:25:06] (step=0051300) Train Loss: 0.6129, Train Steps/Sec: 1.10
587
+ [2025-10-28 13:26:34] (step=0051400) Train Loss: 0.6136, Train Steps/Sec: 1.14
588
+ [2025-10-28 13:28:02] (step=0051500) Train Loss: 0.6120, Train Steps/Sec: 1.14
589
+ [2025-10-28 13:29:30] (step=0051600) Train Loss: 0.6130, Train Steps/Sec: 1.14
590
+ [2025-10-28 13:30:58] (step=0051700) Train Loss: 0.6119, Train Steps/Sec: 1.13
591
+ [2025-10-28 13:32:26] (step=0051800) Train Loss: 0.6129, Train Steps/Sec: 1.14
592
+ [2025-10-28 13:33:54] (step=0051900) Train Loss: 0.6130, Train Steps/Sec: 1.13
593
+ [2025-10-28 13:35:23] (step=0052000) Train Loss: 0.6127, Train Steps/Sec: 1.13
594
+ [2025-10-28 13:36:51] (step=0052100) Train Loss: 0.6117, Train Steps/Sec: 1.14
595
+ [2025-10-28 13:38:19] (step=0052200) Train Loss: 0.6121, Train Steps/Sec: 1.14
596
+ [2025-10-28 13:39:46] (step=0052300) Train Loss: 0.6129, Train Steps/Sec: 1.14
597
+ [2025-10-28 13:41:14] (step=0052400) Train Loss: 0.6135, Train Steps/Sec: 1.14
598
+ [2025-10-28 13:42:42] (step=0052500) Train Loss: 0.6132, Train Steps/Sec: 1.14
599
+ [2025-10-28 13:43:20] Beginning epoch 42...
600
+ [2025-10-28 13:44:13] (step=0052600) Train Loss: 0.6123, Train Steps/Sec: 1.10
601
+ [2025-10-28 13:45:41] (step=0052700) Train Loss: 0.6126, Train Steps/Sec: 1.13
602
+ [2025-10-28 13:47:10] (step=0052800) Train Loss: 0.6127, Train Steps/Sec: 1.13
603
+ [2025-10-28 13:48:38] (step=0052900) Train Loss: 0.6121, Train Steps/Sec: 1.14
604
+ [2025-10-28 13:50:06] (step=0053000) Train Loss: 0.6128, Train Steps/Sec: 1.14
605
+ [2025-10-28 13:51:34] (step=0053100) Train Loss: 0.6114, Train Steps/Sec: 1.14
606
+ [2025-10-28 13:53:01] (step=0053200) Train Loss: 0.6134, Train Steps/Sec: 1.14
607
+ [2025-10-28 13:54:29] (step=0053300) Train Loss: 0.6123, Train Steps/Sec: 1.14
608
+ [2025-10-28 13:55:57] (step=0053400) Train Loss: 0.6128, Train Steps/Sec: 1.14
609
+ [2025-10-28 13:57:25] (step=0053500) Train Loss: 0.6110, Train Steps/Sec: 1.14
610
+ [2025-10-28 13:58:54] (step=0053600) Train Loss: 0.6140, Train Steps/Sec: 1.13
611
+ [2025-10-28 14:00:22] (step=0053700) Train Loss: 0.6109, Train Steps/Sec: 1.14
612
+ [2025-10-28 14:01:44] Beginning epoch 43...
613
+ [2025-10-28 14:01:52] (step=0053800) Train Loss: 0.6118, Train Steps/Sec: 1.11
614
+ [2025-10-28 14:03:20] (step=0053900) Train Loss: 0.6114, Train Steps/Sec: 1.14
615
+ [2025-10-28 14:04:48] (step=0054000) Train Loss: 0.6118, Train Steps/Sec: 1.14
616
+ [2025-10-28 14:06:16] (step=0054100) Train Loss: 0.6136, Train Steps/Sec: 1.14
617
+ [2025-10-28 14:07:44] (step=0054200) Train Loss: 0.6113, Train Steps/Sec: 1.14
618
+ [2025-10-28 14:09:12] (step=0054300) Train Loss: 0.6112, Train Steps/Sec: 1.14
619
+ [2025-10-28 14:10:40] (step=0054400) Train Loss: 0.6124, Train Steps/Sec: 1.13
620
+ [2025-10-28 14:12:08] (step=0054500) Train Loss: 0.6129, Train Steps/Sec: 1.14
621
+ [2025-10-28 14:13:36] (step=0054600) Train Loss: 0.6126, Train Steps/Sec: 1.14
622
+ [2025-10-28 14:15:04] (step=0054700) Train Loss: 0.6115, Train Steps/Sec: 1.14
623
+ [2025-10-28 14:16:32] (step=0054800) Train Loss: 0.6120, Train Steps/Sec: 1.14
624
+ [2025-10-28 14:18:00] (step=0054900) Train Loss: 0.6121, Train Steps/Sec: 1.14
625
+ [2025-10-28 14:19:28] (step=0055000) Train Loss: 0.6121, Train Steps/Sec: 1.14
626
+ [2025-10-28 14:20:07] Beginning epoch 44...
627
+ [2025-10-28 14:20:59] (step=0055100) Train Loss: 0.6118, Train Steps/Sec: 1.10
628
+ [2025-10-28 14:22:27] (step=0055200) Train Loss: 0.6127, Train Steps/Sec: 1.14
629
+ [2025-10-28 14:23:55] (step=0055300) Train Loss: 0.6120, Train Steps/Sec: 1.13
630
+ [2025-10-28 14:25:23] (step=0055400) Train Loss: 0.6126, Train Steps/Sec: 1.14
631
+ [2025-10-28 14:26:51] (step=0055500) Train Loss: 0.6119, Train Steps/Sec: 1.14
632
+ [2025-10-28 14:28:20] (step=0055600) Train Loss: 0.6119, Train Steps/Sec: 1.14
633
+ [2025-10-28 14:29:47] (step=0055700) Train Loss: 0.6120, Train Steps/Sec: 1.14
634
+ [2025-10-28 14:31:15] (step=0055800) Train Loss: 0.6111, Train Steps/Sec: 1.14
635
+ [2025-10-28 14:32:43] (step=0055900) Train Loss: 0.6133, Train Steps/Sec: 1.14
636
+ [2025-10-28 14:34:11] (step=0056000) Train Loss: 0.6099, Train Steps/Sec: 1.14
637
+ [2025-10-28 14:35:39] (step=0056100) Train Loss: 0.6117, Train Steps/Sec: 1.13
638
+ [2025-10-28 14:37:07] (step=0056200) Train Loss: 0.6109, Train Steps/Sec: 1.14
639
+ [2025-10-28 14:38:31] Beginning epoch 45...
640
+ [2025-10-28 14:38:38] (step=0056300) Train Loss: 0.6118, Train Steps/Sec: 1.10
641
+ [2025-10-28 14:40:06] (step=0056400) Train Loss: 0.6109, Train Steps/Sec: 1.14
642
+ [2025-10-28 14:41:34] (step=0056500) Train Loss: 0.6098, Train Steps/Sec: 1.14
643
+ [2025-10-28 14:43:02] (step=0056600) Train Loss: 0.6105, Train Steps/Sec: 1.14
644
+ [2025-10-28 14:44:30] (step=0056700) Train Loss: 0.6111, Train Steps/Sec: 1.14
645
+ [2025-10-28 14:45:58] (step=0056800) Train Loss: 0.6123, Train Steps/Sec: 1.14
646
+ [2025-10-28 14:47:26] (step=0056900) Train Loss: 0.6109, Train Steps/Sec: 1.14
647
+ [2025-10-28 14:48:54] (step=0057000) Train Loss: 0.6121, Train Steps/Sec: 1.13
648
+ [2025-10-28 14:50:22] (step=0057100) Train Loss: 0.6112, Train Steps/Sec: 1.14
649
+ [2025-10-28 14:51:50] (step=0057200) Train Loss: 0.6122, Train Steps/Sec: 1.14
650
+ [2025-10-28 14:53:18] (step=0057300) Train Loss: 0.6103, Train Steps/Sec: 1.14
651
+ [2025-10-28 14:54:46] (step=0057400) Train Loss: 0.6112, Train Steps/Sec: 1.14
652
+ [2025-10-28 14:56:14] (step=0057500) Train Loss: 0.6116, Train Steps/Sec: 1.14
653
+ [2025-10-28 14:56:55] Beginning epoch 46...
654
+ [2025-10-28 14:57:45] (step=0057600) Train Loss: 0.6124, Train Steps/Sec: 1.10
655
+ [2025-10-28 14:59:13] (step=0057700) Train Loss: 0.6112, Train Steps/Sec: 1.14
656
+ [2025-10-28 15:00:41] (step=0057800) Train Loss: 0.6110, Train Steps/Sec: 1.13
657
+ [2025-10-28 15:02:09] (step=0057900) Train Loss: 0.6119, Train Steps/Sec: 1.13
658
+ [2025-10-28 15:03:37] (step=0058000) Train Loss: 0.6114, Train Steps/Sec: 1.13
659
+ [2025-10-28 15:05:05] (step=0058100) Train Loss: 0.6101, Train Steps/Sec: 1.14
660
+ [2025-10-28 15:06:33] (step=0058200) Train Loss: 0.6121, Train Steps/Sec: 1.14
661
+ [2025-10-28 15:08:01] (step=0058300) Train Loss: 0.6109, Train Steps/Sec: 1.14
662
+ [2025-10-28 15:09:29] (step=0058400) Train Loss: 0.6101, Train Steps/Sec: 1.14
663
+ [2025-10-28 15:10:57] (step=0058500) Train Loss: 0.6115, Train Steps/Sec: 1.14
664
+ [2025-10-28 15:12:25] (step=0058600) Train Loss: 0.6107, Train Steps/Sec: 1.14
665
+ [2025-10-28 15:13:53] (step=0058700) Train Loss: 0.6116, Train Steps/Sec: 1.13
666
+ [2025-10-28 15:15:20] Beginning epoch 47...
667
+ [2025-10-28 15:15:25] (step=0058800) Train Loss: 0.6100, Train Steps/Sec: 1.10
668
+ [2025-10-28 15:16:53] (step=0058900) Train Loss: 0.6108, Train Steps/Sec: 1.14
669
+ [2025-10-28 15:18:21] (step=0059000) Train Loss: 0.6098, Train Steps/Sec: 1.14
670
+ [2025-10-28 15:19:49] (step=0059100) Train Loss: 0.6099, Train Steps/Sec: 1.14
671
+ [2025-10-28 15:21:17] (step=0059200) Train Loss: 0.6109, Train Steps/Sec: 1.14
672
+ [2025-10-28 15:22:45] (step=0059300) Train Loss: 0.6110, Train Steps/Sec: 1.14
673
+ [2025-10-28 15:24:13] (step=0059400) Train Loss: 0.6101, Train Steps/Sec: 1.14
674
+ [2025-10-28 15:25:41] (step=0059500) Train Loss: 0.6099, Train Steps/Sec: 1.13
675
+ [2025-10-28 15:27:09] (step=0059600) Train Loss: 0.6098, Train Steps/Sec: 1.14
676
+ [2025-10-28 15:28:37] (step=0059700) Train Loss: 0.6114, Train Steps/Sec: 1.14
677
+ [2025-10-28 15:30:05] (step=0059800) Train Loss: 0.6111, Train Steps/Sec: 1.14
678
+ [2025-10-28 15:31:33] (step=0059900) Train Loss: 0.6102, Train Steps/Sec: 1.14
679
+ [2025-10-28 15:33:01] (step=0060000) Train Loss: 0.6098, Train Steps/Sec: 1.14
680
+ [2025-10-28 15:33:44] Beginning epoch 48...
681
+ [2025-10-28 15:34:32] (step=0060100) Train Loss: 0.6091, Train Steps/Sec: 1.10
682
+ [2025-10-28 15:36:00] (step=0060200) Train Loss: 0.6102, Train Steps/Sec: 1.14
683
+ [2025-10-28 15:37:28] (step=0060300) Train Loss: 0.6104, Train Steps/Sec: 1.14
684
+ [2025-10-28 15:38:56] (step=0060400) Train Loss: 0.6100, Train Steps/Sec: 1.13
685
+ [2025-10-28 15:40:24] (step=0060500) Train Loss: 0.6102, Train Steps/Sec: 1.14
686
+ [2025-10-28 15:41:52] (step=0060600) Train Loss: 0.6111, Train Steps/Sec: 1.14
687
+ [2025-10-28 15:43:20] (step=0060700) Train Loss: 0.6100, Train Steps/Sec: 1.14
688
+ [2025-10-28 15:44:48] (step=0060800) Train Loss: 0.6112, Train Steps/Sec: 1.14
689
+ [2025-10-28 15:46:16] (step=0060900) Train Loss: 0.6088, Train Steps/Sec: 1.14
690
+ [2025-10-28 15:47:44] (step=0061000) Train Loss: 0.6099, Train Steps/Sec: 1.14
691
+ [2025-10-28 15:49:12] (step=0061100) Train Loss: 0.6101, Train Steps/Sec: 1.14
692
+ [2025-10-28 15:50:40] (step=0061200) Train Loss: 0.6097, Train Steps/Sec: 1.14
693
+ [2025-10-28 15:52:08] Beginning epoch 49...
694
+ [2025-10-28 15:52:11] (step=0061300) Train Loss: 0.6098, Train Steps/Sec: 1.10
695
+ [2025-10-28 15:53:39] (step=0061400) Train Loss: 0.6099, Train Steps/Sec: 1.14
696
+ [2025-10-28 15:55:07] (step=0061500) Train Loss: 0.6106, Train Steps/Sec: 1.14
697
+ [2025-10-28 15:56:35] (step=0061600) Train Loss: 0.6088, Train Steps/Sec: 1.14
698
+ [2025-10-28 15:58:03] (step=0061700) Train Loss: 0.6089, Train Steps/Sec: 1.14
699
+ [2025-10-28 15:59:31] (step=0061800) Train Loss: 0.6097, Train Steps/Sec: 1.14
700
+ [2025-10-28 16:00:58] (step=0061900) Train Loss: 0.6097, Train Steps/Sec: 1.14
701
+ [2025-10-28 16:02:26] (step=0062000) Train Loss: 0.6084, Train Steps/Sec: 1.14
702
+ [2025-10-28 16:03:55] (step=0062100) Train Loss: 0.6094, Train Steps/Sec: 1.13
703
+ [2025-10-28 16:05:23] (step=0062200) Train Loss: 0.6096, Train Steps/Sec: 1.14
704
+ [2025-10-28 16:06:51] (step=0062300) Train Loss: 0.6091, Train Steps/Sec: 1.14
705
+ [2025-10-28 16:08:19] (step=0062400) Train Loss: 0.6106, Train Steps/Sec: 1.14
706
+ [2025-10-28 16:09:47] (step=0062500) Train Loss: 0.6098, Train Steps/Sec: 1.14
707
+ [2025-10-28 16:10:31] Beginning epoch 50...
708
+ [2025-10-28 16:11:18] (step=0062600) Train Loss: 0.6098, Train Steps/Sec: 1.10
709
+ [2025-10-28 16:12:46] (step=0062700) Train Loss: 0.6084, Train Steps/Sec: 1.14
710
+ [2025-10-28 16:14:13] (step=0062800) Train Loss: 0.6074, Train Steps/Sec: 1.14
711
+ [2025-10-28 16:15:42] (step=0062900) Train Loss: 0.6098, Train Steps/Sec: 1.13
712
+ [2025-10-28 16:17:10] (step=0063000) Train Loss: 0.6093, Train Steps/Sec: 1.14
713
+ [2025-10-28 16:18:38] (step=0063100) Train Loss: 0.6090, Train Steps/Sec: 1.14
714
+ [2025-10-28 16:20:06] (step=0063200) Train Loss: 0.6084, Train Steps/Sec: 1.14
715
+ [2025-10-28 16:21:34] (step=0063300) Train Loss: 0.6093, Train Steps/Sec: 1.14
716
+ [2025-10-28 16:23:02] (step=0063400) Train Loss: 0.6094, Train Steps/Sec: 1.14
717
+ [2025-10-28 16:24:30] (step=0063500) Train Loss: 0.6098, Train Steps/Sec: 1.14
718
+ [2025-10-28 16:25:58] (step=0063600) Train Loss: 0.6096, Train Steps/Sec: 1.14
719
+ [2025-10-28 16:27:26] (step=0063700) Train Loss: 0.6092, Train Steps/Sec: 1.14
720
+ [2025-10-28 16:28:54] (step=0063800) Train Loss: 0.6090, Train Steps/Sec: 1.13
721
+ [2025-10-28 16:28:55] Beginning epoch 51...
722
+ [2025-10-28 16:30:25] (step=0063900) Train Loss: 0.6090, Train Steps/Sec: 1.10
723
+ [2025-10-28 16:31:53] (step=0064000) Train Loss: 0.6102, Train Steps/Sec: 1.14
724
+ [2025-10-28 16:33:21] (step=0064100) Train Loss: 0.6089, Train Steps/Sec: 1.14
725
+ [2025-10-28 16:34:49] (step=0064200) Train Loss: 0.6084, Train Steps/Sec: 1.14
726
+ [2025-10-28 16:36:17] (step=0064300) Train Loss: 0.6092, Train Steps/Sec: 1.14
727
+ [2025-10-28 16:37:45] (step=0064400) Train Loss: 0.6084, Train Steps/Sec: 1.14
728
+ [2025-10-28 16:39:13] (step=0064500) Train Loss: 0.6082, Train Steps/Sec: 1.14
729
+ [2025-10-28 16:40:41] (step=0064600) Train Loss: 0.6093, Train Steps/Sec: 1.13
730
+ [2025-10-28 16:42:09] (step=0064700) Train Loss: 0.6090, Train Steps/Sec: 1.14
731
+ [2025-10-28 16:43:37] (step=0064800) Train Loss: 0.6090, Train Steps/Sec: 1.13
732
+ [2025-10-28 16:45:05] (step=0064900) Train Loss: 0.6082, Train Steps/Sec: 1.14
733
+ [2025-10-28 16:46:33] (step=0065000) Train Loss: 0.6083, Train Steps/Sec: 1.14
734
+ [2025-10-28 16:47:19] Beginning epoch 52...
735
+ [2025-10-28 16:48:04] (step=0065100) Train Loss: 0.6094, Train Steps/Sec: 1.10
736
+ [2025-10-28 16:49:32] (step=0065200) Train Loss: 0.6101, Train Steps/Sec: 1.14
737
+ [2025-10-28 16:51:00] (step=0065300) Train Loss: 0.6093, Train Steps/Sec: 1.14
738
+ [2025-10-28 16:52:28] (step=0065400) Train Loss: 0.6093, Train Steps/Sec: 1.14
739
+ [2025-10-28 16:53:56] (step=0065500) Train Loss: 0.6083, Train Steps/Sec: 1.13
740
+ [2025-10-28 16:55:24] (step=0065600) Train Loss: 0.6075, Train Steps/Sec: 1.13
741
+ [2025-10-28 16:56:52] (step=0065700) Train Loss: 0.6075, Train Steps/Sec: 1.14
742
+ [2025-10-28 16:58:20] (step=0065800) Train Loss: 0.6082, Train Steps/Sec: 1.14
743
+ [2025-10-28 16:59:48] (step=0065900) Train Loss: 0.6080, Train Steps/Sec: 1.14
744
+ [2025-10-28 17:01:16] (step=0066000) Train Loss: 0.6062, Train Steps/Sec: 1.14
745
+ [2025-10-28 17:02:44] (step=0066100) Train Loss: 0.6086, Train Steps/Sec: 1.14
746
+ [2025-10-28 17:04:12] (step=0066200) Train Loss: 0.6085, Train Steps/Sec: 1.14
747
+ [2025-10-28 17:05:40] (step=0066300) Train Loss: 0.6089, Train Steps/Sec: 1.14
748
+ [2025-10-28 17:05:43] Beginning epoch 53...
749
+ [2025-10-28 17:07:12] (step=0066400) Train Loss: 0.6081, Train Steps/Sec: 1.09
750
+ [2025-10-28 17:08:40] (step=0066500) Train Loss: 0.6083, Train Steps/Sec: 1.14
751
+ [2025-10-28 17:10:08] (step=0066600) Train Loss: 0.6085, Train Steps/Sec: 1.14
752
+ [2025-10-28 17:11:36] (step=0066700) Train Loss: 0.6078, Train Steps/Sec: 1.14
753
+ [2025-10-28 17:13:03] (step=0066800) Train Loss: 0.6084, Train Steps/Sec: 1.14
754
+ [2025-10-28 17:14:31] (step=0066900) Train Loss: 0.6065, Train Steps/Sec: 1.14
755
+ [2025-10-28 17:15:59] (step=0067000) Train Loss: 0.6085, Train Steps/Sec: 1.14
756
+ [2025-10-28 17:17:27] (step=0067100) Train Loss: 0.6096, Train Steps/Sec: 1.14
757
+ [2025-10-28 17:18:56] (step=0067200) Train Loss: 0.6076, Train Steps/Sec: 1.13
758
+ [2025-10-28 17:20:24] (step=0067300) Train Loss: 0.6083, Train Steps/Sec: 1.14
759
+ [2025-10-28 17:21:52] (step=0067400) Train Loss: 0.6092, Train Steps/Sec: 1.14
760
+ [2025-10-28 17:23:19] (step=0067500) Train Loss: 0.6092, Train Steps/Sec: 1.14
761
+ [2025-10-28 17:24:07] Beginning epoch 54...
762
+ [2025-10-28 17:24:50] (step=0067600) Train Loss: 0.6089, Train Steps/Sec: 1.10
763
+ [2025-10-28 17:26:18] (step=0067700) Train Loss: 0.6085, Train Steps/Sec: 1.14
764
+ [2025-10-28 17:27:46] (step=0067800) Train Loss: 0.6083, Train Steps/Sec: 1.14
765
+ [2025-10-28 17:29:14] (step=0067900) Train Loss: 0.6079, Train Steps/Sec: 1.14
766
+ [2025-10-28 17:30:42] (step=0068000) Train Loss: 0.6078, Train Steps/Sec: 1.13
767
+ [2025-10-28 17:32:11] (step=0068100) Train Loss: 0.6069, Train Steps/Sec: 1.13
768
+ [2025-10-28 17:33:39] (step=0068200) Train Loss: 0.6088, Train Steps/Sec: 1.14
769
+ [2025-10-28 17:35:07] (step=0068300) Train Loss: 0.6077, Train Steps/Sec: 1.14
770
+ [2025-10-28 17:36:34] (step=0068400) Train Loss: 0.6080, Train Steps/Sec: 1.14
771
+ [2025-10-28 17:38:02] (step=0068500) Train Loss: 0.6082, Train Steps/Sec: 1.14
772
+ [2025-10-28 17:39:30] (step=0068600) Train Loss: 0.6063, Train Steps/Sec: 1.14
773
+ [2025-10-28 17:40:58] (step=0068700) Train Loss: 0.6069, Train Steps/Sec: 1.14
774
+ [2025-10-28 17:42:26] (step=0068800) Train Loss: 0.6076, Train Steps/Sec: 1.14
775
+ [2025-10-28 17:42:31] Beginning epoch 55...
776
+ [2025-10-28 17:43:58] (step=0068900) Train Loss: 0.6070, Train Steps/Sec: 1.09
777
+ [2025-10-28 17:45:26] (step=0069000) Train Loss: 0.6093, Train Steps/Sec: 1.14
778
+ [2025-10-28 17:46:54] (step=0069100) Train Loss: 0.6079, Train Steps/Sec: 1.14
779
+ [2025-10-28 17:48:22] (step=0069200) Train Loss: 0.6080, Train Steps/Sec: 1.14
780
+ [2025-10-28 17:49:50] (step=0069300) Train Loss: 0.6076, Train Steps/Sec: 1.14
781
+ [2025-10-28 17:51:18] (step=0069400) Train Loss: 0.6079, Train Steps/Sec: 1.14
782
+ [2025-10-28 17:52:46] (step=0069500) Train Loss: 0.6078, Train Steps/Sec: 1.14
783
+ [2025-10-28 17:54:14] (step=0069600) Train Loss: 0.6073, Train Steps/Sec: 1.14
784
+ [2025-10-28 17:55:42] (step=0069700) Train Loss: 0.6070, Train Steps/Sec: 1.14
785
+ [2025-10-28 17:57:10] (step=0069800) Train Loss: 0.6081, Train Steps/Sec: 1.13
786
+ [2025-10-28 17:58:38] (step=0069900) Train Loss: 0.6084, Train Steps/Sec: 1.14
787
+ [2025-10-28 18:00:06] (step=0070000) Train Loss: 0.6069, Train Steps/Sec: 1.14
788
+ [2025-10-28 18:00:56] Beginning epoch 56...
789
+ [2025-10-28 18:01:37] (step=0070100) Train Loss: 0.6065, Train Steps/Sec: 1.10
790
+ [2025-10-28 18:03:05] (step=0070200) Train Loss: 0.6083, Train Steps/Sec: 1.14
791
+ [2025-10-28 18:04:33] (step=0070300) Train Loss: 0.6070, Train Steps/Sec: 1.14
792
+ [2025-10-28 18:06:01] (step=0070400) Train Loss: 0.6073, Train Steps/Sec: 1.14
793
+ [2025-10-28 18:07:29] (step=0070500) Train Loss: 0.6067, Train Steps/Sec: 1.14
794
+ [2025-10-28 18:08:57] (step=0070600) Train Loss: 0.6065, Train Steps/Sec: 1.13
795
+ [2025-10-28 18:10:25] (step=0070700) Train Loss: 0.6081, Train Steps/Sec: 1.14
796
+ [2025-10-28 18:11:53] (step=0070800) Train Loss: 0.6079, Train Steps/Sec: 1.14
797
+ [2025-10-28 18:13:21] (step=0070900) Train Loss: 0.6067, Train Steps/Sec: 1.14
798
+ [2025-10-28 18:14:49] (step=0071000) Train Loss: 0.6070, Train Steps/Sec: 1.14
799
+ [2025-10-28 18:16:17] (step=0071100) Train Loss: 0.6064, Train Steps/Sec: 1.14
800
+ [2025-10-28 18:17:45] (step=0071200) Train Loss: 0.6076, Train Steps/Sec: 1.14
801
+ [2025-10-28 18:19:13] (step=0071300) Train Loss: 0.6075, Train Steps/Sec: 1.14
802
+ [2025-10-28 18:19:20] Beginning epoch 57...
803
+ [2025-10-28 18:20:45] (step=0071400) Train Loss: 0.6076, Train Steps/Sec: 1.09
804
+ [2025-10-28 18:22:13] (step=0071500) Train Loss: 0.6067, Train Steps/Sec: 1.13
805
+ [2025-10-28 18:23:41] (step=0071600) Train Loss: 0.6069, Train Steps/Sec: 1.14
806
+ [2025-10-28 18:25:09] (step=0071700) Train Loss: 0.6078, Train Steps/Sec: 1.14
807
+ [2025-10-28 18:26:37] (step=0071800) Train Loss: 0.6068, Train Steps/Sec: 1.14
808
+ [2025-10-28 18:28:05] (step=0071900) Train Loss: 0.6067, Train Steps/Sec: 1.14
809
+ [2025-10-28 18:29:33] (step=0072000) Train Loss: 0.6063, Train Steps/Sec: 1.14
810
+ [2025-10-28 18:31:01] (step=0072100) Train Loss: 0.6069, Train Steps/Sec: 1.14
811
+ [2025-10-28 18:32:29] (step=0072200) Train Loss: 0.6074, Train Steps/Sec: 1.14
812
+ [2025-10-28 18:33:57] (step=0072300) Train Loss: 0.6070, Train Steps/Sec: 1.13
813
+ [2025-10-28 18:35:25] (step=0072400) Train Loss: 0.6067, Train Steps/Sec: 1.14
814
+ [2025-10-28 18:36:53] (step=0072500) Train Loss: 0.6069, Train Steps/Sec: 1.14
815
+ [2025-10-28 18:37:45] Beginning epoch 58...
816
+ [2025-10-28 18:38:24] (step=0072600) Train Loss: 0.6070, Train Steps/Sec: 1.10
817
+ [2025-10-28 18:39:52] (step=0072700) Train Loss: 0.6070, Train Steps/Sec: 1.14
818
+ [2025-10-28 18:41:20] (step=0072800) Train Loss: 0.6075, Train Steps/Sec: 1.14
819
+ [2025-10-28 18:42:48] (step=0072900) Train Loss: 0.6065, Train Steps/Sec: 1.14
820
+ [2025-10-28 18:44:16] (step=0073000) Train Loss: 0.6059, Train Steps/Sec: 1.14
821
+ [2025-10-28 18:45:44] (step=0073100) Train Loss: 0.6057, Train Steps/Sec: 1.13
822
+ [2025-10-28 18:47:13] (step=0073200) Train Loss: 0.6082, Train Steps/Sec: 1.13
823
+ [2025-10-28 18:48:41] (step=0073300) Train Loss: 0.6064, Train Steps/Sec: 1.14
824
+ [2025-10-28 18:50:09] (step=0073400) Train Loss: 0.6073, Train Steps/Sec: 1.14
825
+ [2025-10-28 18:51:37] (step=0073500) Train Loss: 0.6072, Train Steps/Sec: 1.14
826
+ [2025-10-28 18:53:05] (step=0073600) Train Loss: 0.6068, Train Steps/Sec: 1.14
827
+ [2025-10-28 18:54:33] (step=0073700) Train Loss: 0.6065, Train Steps/Sec: 1.14
828
+ [2025-10-28 18:56:00] (step=0073800) Train Loss: 0.6068, Train Steps/Sec: 1.14
829
+ [2025-10-28 18:56:09] Beginning epoch 59...
830
+ [2025-10-28 18:57:31] (step=0073900) Train Loss: 0.6060, Train Steps/Sec: 1.10
831
+ [2025-10-28 18:59:00] (step=0074000) Train Loss: 0.6071, Train Steps/Sec: 1.13
832
+ [2025-10-28 19:00:28] (step=0074100) Train Loss: 0.6063, Train Steps/Sec: 1.13
833
+ [2025-10-28 19:01:56] (step=0074200) Train Loss: 0.6073, Train Steps/Sec: 1.14
834
+ [2025-10-28 19:03:24] (step=0074300) Train Loss: 0.6060, Train Steps/Sec: 1.14
835
+ [2025-10-28 19:04:52] (step=0074400) Train Loss: 0.6061, Train Steps/Sec: 1.14
836
+ [2025-10-28 19:06:20] (step=0074500) Train Loss: 0.6073, Train Steps/Sec: 1.14
837
+ [2025-10-28 19:07:48] (step=0074600) Train Loss: 0.6072, Train Steps/Sec: 1.14
838
+ [2025-10-28 19:09:16] (step=0074700) Train Loss: 0.6058, Train Steps/Sec: 1.14
839
+ [2025-10-28 19:10:44] (step=0074800) Train Loss: 0.6073, Train Steps/Sec: 1.14
840
+ [2025-10-28 19:12:12] (step=0074900) Train Loss: 0.6079, Train Steps/Sec: 1.14
841
+ [2025-10-28 19:13:40] (step=0075000) Train Loss: 0.6070, Train Steps/Sec: 1.14
842
+ [2025-10-28 19:14:38] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-pe-vit-l-bf16/checkpoints/0075000.pt
843
+ [2025-10-28 19:14:38] Generating EMA samples...
844
+ [2025-10-28 19:15:07] Generating EMA samples done.
845
+ [2025-10-28 19:15:59] Beginning epoch 60...
846
+ [2025-10-28 19:16:37] (step=0075100) Train Loss: 0.6060, Train Steps/Sec: 0.56
847
+ [2025-10-28 19:18:05] (step=0075200) Train Loss: 0.6075, Train Steps/Sec: 1.14
848
+ [2025-10-28 19:19:33] (step=0075300) Train Loss: 0.6061, Train Steps/Sec: 1.14
849
+ [2025-10-28 19:21:00] (step=0075400) Train Loss: 0.6056, Train Steps/Sec: 1.14
850
+ [2025-10-28 19:22:28] (step=0075500) Train Loss: 0.6070, Train Steps/Sec: 1.14
851
+ [2025-10-28 19:23:56] (step=0075600) Train Loss: 0.6056, Train Steps/Sec: 1.14
852
+ [2025-10-28 19:25:25] (step=0075700) Train Loss: 0.6071, Train Steps/Sec: 1.13
853
+ [2025-10-28 19:26:53] (step=0075800) Train Loss: 0.6058, Train Steps/Sec: 1.13
854
+ [2025-10-28 19:28:21] (step=0075900) Train Loss: 0.6070, Train Steps/Sec: 1.14
855
+ [2025-10-28 19:29:49] (step=0076000) Train Loss: 0.6056, Train Steps/Sec: 1.14
856
+ [2025-10-28 19:31:17] (step=0076100) Train Loss: 0.6062, Train Steps/Sec: 1.14
857
+ [2025-10-28 19:32:45] (step=0076200) Train Loss: 0.6062, Train Steps/Sec: 1.14
858
+ [2025-10-28 19:34:13] (step=0076300) Train Loss: 0.6062, Train Steps/Sec: 1.14
859
+ [2025-10-28 19:34:23] Beginning epoch 61...
860
+ [2025-10-28 19:35:44] (step=0076400) Train Loss: 0.6080, Train Steps/Sec: 1.10
861
+ [2025-10-28 19:37:12] (step=0076500) Train Loss: 0.6061, Train Steps/Sec: 1.13
862
+ [2025-10-28 19:38:41] (step=0076600) Train Loss: 0.6069, Train Steps/Sec: 1.13
863
+ [2025-10-28 19:40:08] (step=0076700) Train Loss: 0.6067, Train Steps/Sec: 1.14
864
+ [2025-10-28 19:41:36] (step=0076800) Train Loss: 0.6062, Train Steps/Sec: 1.14
865
+ [2025-10-28 19:43:04] (step=0076900) Train Loss: 0.6058, Train Steps/Sec: 1.14
866
+ [2025-10-28 19:44:32] (step=0077000) Train Loss: 0.6060, Train Steps/Sec: 1.14
867
+ [2025-10-28 19:46:00] (step=0077100) Train Loss: 0.6064, Train Steps/Sec: 1.14
868
+ [2025-10-28 19:47:28] (step=0077200) Train Loss: 0.6065, Train Steps/Sec: 1.14
869
+ [2025-10-28 19:48:56] (step=0077300) Train Loss: 0.6055, Train Steps/Sec: 1.14
870
+ [2025-10-28 19:50:24] (step=0077400) Train Loss: 0.6063, Train Steps/Sec: 1.13
871
+ [2025-10-28 19:51:52] (step=0077500) Train Loss: 0.6063, Train Steps/Sec: 1.14
872
+ [2025-10-28 19:52:47] Beginning epoch 62...
873
+ [2025-10-28 19:53:23] (step=0077600) Train Loss: 0.6052, Train Steps/Sec: 1.10
874
+ [2025-10-28 19:54:51] (step=0077700) Train Loss: 0.6060, Train Steps/Sec: 1.14
875
+ [2025-10-28 19:56:19] (step=0077800) Train Loss: 0.6050, Train Steps/Sec: 1.14
876
+ [2025-10-28 19:57:47] (step=0077900) Train Loss: 0.6059, Train Steps/Sec: 1.14
877
+ [2025-10-28 19:59:15] (step=0078000) Train Loss: 0.6055, Train Steps/Sec: 1.14
878
+ [2025-10-28 20:00:43] (step=0078100) Train Loss: 0.6055, Train Steps/Sec: 1.14
879
+ [2025-10-28 20:02:11] (step=0078200) Train Loss: 0.6059, Train Steps/Sec: 1.13
880
+ [2025-10-28 20:03:39] (step=0078300) Train Loss: 0.6048, Train Steps/Sec: 1.13
881
+ [2025-10-28 20:05:07] (step=0078400) Train Loss: 0.6067, Train Steps/Sec: 1.14
882
+ [2025-10-28 20:06:35] (step=0078500) Train Loss: 0.6064, Train Steps/Sec: 1.14
883
+ [2025-10-28 20:08:03] (step=0078600) Train Loss: 0.6062, Train Steps/Sec: 1.14
884
+ [2025-10-28 20:09:31] (step=0078700) Train Loss: 0.6048, Train Steps/Sec: 1.14
885
+ [2025-10-28 20:10:59] (step=0078800) Train Loss: 0.6054, Train Steps/Sec: 1.14
886
+ [2025-10-28 20:11:11] Beginning epoch 63...
887
+ [2025-10-28 20:12:30] (step=0078900) Train Loss: 0.6058, Train Steps/Sec: 1.10
888
+ [2025-10-28 20:13:58] (step=0079000) Train Loss: 0.6040, Train Steps/Sec: 1.14
889
+ [2025-10-28 20:15:26] (step=0079100) Train Loss: 0.6064, Train Steps/Sec: 1.13
890
+ [2025-10-28 20:16:54] (step=0079200) Train Loss: 0.6069, Train Steps/Sec: 1.14
891
+ [2025-10-28 20:18:22] (step=0079300) Train Loss: 0.6051, Train Steps/Sec: 1.14
892
+ [2025-10-28 20:19:50] (step=0079400) Train Loss: 0.6067, Train Steps/Sec: 1.14
893
+ [2025-10-28 20:21:18] (step=0079500) Train Loss: 0.6045, Train Steps/Sec: 1.14
894
+ [2025-10-28 20:22:46] (step=0079600) Train Loss: 0.6067, Train Steps/Sec: 1.14
895
+ [2025-10-28 20:24:14] (step=0079700) Train Loss: 0.6054, Train Steps/Sec: 1.14
896
+ [2025-10-28 20:25:42] (step=0079800) Train Loss: 0.6054, Train Steps/Sec: 1.14
897
+ [2025-10-28 20:27:10] (step=0079900) Train Loss: 0.6054, Train Steps/Sec: 1.14
898
+ [2025-10-28 20:28:38] (step=0080000) Train Loss: 0.6048, Train Steps/Sec: 1.14
899
+ [2025-10-28 20:29:35] Beginning epoch 64...
900
+ [2025-10-28 20:30:09] (step=0080100) Train Loss: 0.6051, Train Steps/Sec: 1.10
901
+ [2025-10-28 20:31:37] (step=0080200) Train Loss: 0.6051, Train Steps/Sec: 1.14
902
+ [2025-10-28 20:33:05] (step=0080300) Train Loss: 0.6055, Train Steps/Sec: 1.14
903
+ [2025-10-28 20:34:33] (step=0080400) Train Loss: 0.6057, Train Steps/Sec: 1.14
904
+ [2025-10-28 20:36:01] (step=0080500) Train Loss: 0.6055, Train Steps/Sec: 1.14
905
+ [2025-10-28 20:37:29] (step=0080600) Train Loss: 0.6034, Train Steps/Sec: 1.14
906
+ [2025-10-28 20:38:56] (step=0080700) Train Loss: 0.6056, Train Steps/Sec: 1.14
907
+ [2025-10-28 20:40:25] (step=0080800) Train Loss: 0.6051, Train Steps/Sec: 1.13
908
+ [2025-10-28 20:41:53] (step=0080900) Train Loss: 0.6052, Train Steps/Sec: 1.14
909
+ [2025-10-28 20:43:21] (step=0081000) Train Loss: 0.6061, Train Steps/Sec: 1.14
910
+ [2025-10-28 20:44:49] (step=0081100) Train Loss: 0.6052, Train Steps/Sec: 1.14
911
+ [2025-10-28 20:46:17] (step=0081200) Train Loss: 0.6043, Train Steps/Sec: 1.14
912
+ [2025-10-28 20:47:45] (step=0081300) Train Loss: 0.6047, Train Steps/Sec: 1.14
913
+ [2025-10-28 20:47:58] Beginning epoch 65...
914
+ [2025-10-28 20:49:15] (step=0081400) Train Loss: 0.6051, Train Steps/Sec: 1.10
915
+ [2025-10-28 20:50:43] (step=0081500) Train Loss: 0.6055, Train Steps/Sec: 1.14
916
+ [2025-10-28 20:52:12] (step=0081600) Train Loss: 0.6054, Train Steps/Sec: 1.13
917
+ [2025-10-28 20:53:40] (step=0081700) Train Loss: 0.6051, Train Steps/Sec: 1.13
918
+ [2025-10-28 20:55:08] (step=0081800) Train Loss: 0.6049, Train Steps/Sec: 1.14
919
+ [2025-10-28 20:56:36] (step=0081900) Train Loss: 0.6050, Train Steps/Sec: 1.14
920
+ [2025-10-28 20:58:04] (step=0082000) Train Loss: 0.6044, Train Steps/Sec: 1.14
921
+ [2025-10-28 20:59:32] (step=0082100) Train Loss: 0.6047, Train Steps/Sec: 1.14
922
+ [2025-10-28 21:01:00] (step=0082200) Train Loss: 0.6050, Train Steps/Sec: 1.14
923
+ [2025-10-28 21:02:28] (step=0082300) Train Loss: 0.6044, Train Steps/Sec: 1.14
924
+ [2025-10-28 21:03:56] (step=0082400) Train Loss: 0.6048, Train Steps/Sec: 1.14
925
+ [2025-10-28 21:05:24] (step=0082500) Train Loss: 0.6044, Train Steps/Sec: 1.13
926
+ [2025-10-28 21:06:22] Beginning epoch 66...
927
+ [2025-10-28 21:06:55] (step=0082600) Train Loss: 0.6052, Train Steps/Sec: 1.10
928
+ [2025-10-28 21:08:23] (step=0082700) Train Loss: 0.6044, Train Steps/Sec: 1.14
929
+ [2025-10-28 21:09:51] (step=0082800) Train Loss: 0.6039, Train Steps/Sec: 1.14
930
+ [2025-10-28 21:11:19] (step=0082900) Train Loss: 0.6047, Train Steps/Sec: 1.14
931
+ [2025-10-28 21:12:47] (step=0083000) Train Loss: 0.6044, Train Steps/Sec: 1.14
932
+ [2025-10-28 21:14:15] (step=0083100) Train Loss: 0.6052, Train Steps/Sec: 1.14
933
+ [2025-10-28 21:15:43] (step=0083200) Train Loss: 0.6031, Train Steps/Sec: 1.14
934
+ [2025-10-28 21:17:11] (step=0083300) Train Loss: 0.6053, Train Steps/Sec: 1.13
935
+ [2025-10-28 21:18:39] (step=0083400) Train Loss: 0.6033, Train Steps/Sec: 1.13
936
+ [2025-10-28 21:20:07] (step=0083500) Train Loss: 0.6041, Train Steps/Sec: 1.14
937
+ [2025-10-28 21:21:35] (step=0083600) Train Loss: 0.6041, Train Steps/Sec: 1.14
938
+ [2025-10-28 21:23:03] (step=0083700) Train Loss: 0.6056, Train Steps/Sec: 1.14
939
+ [2025-10-28 21:24:31] (step=0083800) Train Loss: 0.6051, Train Steps/Sec: 1.14
940
+ [2025-10-28 21:24:46] Beginning epoch 67...
941
+ [2025-10-28 21:26:02] (step=0083900) Train Loss: 0.6048, Train Steps/Sec: 1.10
942
+ [2025-10-28 21:27:30] (step=0084000) Train Loss: 0.6039, Train Steps/Sec: 1.14
943
+ [2025-10-28 21:28:58] (step=0084100) Train Loss: 0.6039, Train Steps/Sec: 1.14
944
+ [2025-10-28 21:30:26] (step=0084200) Train Loss: 0.6027, Train Steps/Sec: 1.13
945
+ [2025-10-28 21:31:54] (step=0084300) Train Loss: 0.6042, Train Steps/Sec: 1.14
946
+ [2025-10-28 21:33:22] (step=0084400) Train Loss: 0.6034, Train Steps/Sec: 1.14
947
+ [2025-10-28 21:34:50] (step=0084500) Train Loss: 0.6069, Train Steps/Sec: 1.14
948
+ [2025-10-28 21:36:18] (step=0084600) Train Loss: 0.6045, Train Steps/Sec: 1.14
949
+ [2025-10-28 21:37:46] (step=0084700) Train Loss: 0.6050, Train Steps/Sec: 1.14
950
+ [2025-10-28 21:39:14] (step=0084800) Train Loss: 0.6046, Train Steps/Sec: 1.14
951
+ [2025-10-28 21:40:42] (step=0084900) Train Loss: 0.6044, Train Steps/Sec: 1.14
952
+ [2025-10-28 21:42:10] (step=0085000) Train Loss: 0.6053, Train Steps/Sec: 1.13
953
+ [2025-10-28 21:43:10] Beginning epoch 68...
954
+ [2025-10-28 21:43:41] (step=0085100) Train Loss: 0.6045, Train Steps/Sec: 1.10
955
+ [2025-10-28 21:45:09] (step=0085200) Train Loss: 0.6046, Train Steps/Sec: 1.14
956
+ [2025-10-28 21:46:37] (step=0085300) Train Loss: 0.6035, Train Steps/Sec: 1.14
957
+ [2025-10-28 21:48:05] (step=0085400) Train Loss: 0.6037, Train Steps/Sec: 1.14
958
+ [2025-10-28 21:49:33] (step=0085500) Train Loss: 0.6053, Train Steps/Sec: 1.14
959
+ [2025-10-28 21:51:01] (step=0085600) Train Loss: 0.6042, Train Steps/Sec: 1.14
960
+ [2025-10-28 21:52:29] (step=0085700) Train Loss: 0.6048, Train Steps/Sec: 1.14
961
+ [2025-10-28 21:53:57] (step=0085800) Train Loss: 0.6046, Train Steps/Sec: 1.14
962
+ [2025-10-28 21:55:25] (step=0085900) Train Loss: 0.6044, Train Steps/Sec: 1.13
963
+ [2025-10-28 21:56:53] (step=0086000) Train Loss: 0.6052, Train Steps/Sec: 1.14
964
+ [2025-10-28 21:58:21] (step=0086100) Train Loss: 0.6034, Train Steps/Sec: 1.14
965
+ [2025-10-28 21:59:49] (step=0086200) Train Loss: 0.6035, Train Steps/Sec: 1.14
966
+ [2025-10-28 22:01:17] (step=0086300) Train Loss: 0.6037, Train Steps/Sec: 1.14
967
+ [2025-10-28 22:01:34] Beginning epoch 69...
968
+ [2025-10-28 22:02:48] (step=0086400) Train Loss: 0.6043, Train Steps/Sec: 1.10
969
+ [2025-10-28 22:04:15] (step=0086500) Train Loss: 0.6049, Train Steps/Sec: 1.14
970
+ [2025-10-28 22:05:43] (step=0086600) Train Loss: 0.6031, Train Steps/Sec: 1.14
971
+ [2025-10-28 22:07:12] (step=0086700) Train Loss: 0.6037, Train Steps/Sec: 1.13
972
+ [2025-10-28 22:08:40] (step=0086800) Train Loss: 0.6040, Train Steps/Sec: 1.14
973
+ [2025-10-28 22:10:08] (step=0086900) Train Loss: 0.6031, Train Steps/Sec: 1.14
974
+ [2025-10-28 22:11:36] (step=0087000) Train Loss: 0.6047, Train Steps/Sec: 1.14
975
+ [2025-10-28 22:13:04] (step=0087100) Train Loss: 0.6053, Train Steps/Sec: 1.14
976
+ [2025-10-28 22:14:32] (step=0087200) Train Loss: 0.6035, Train Steps/Sec: 1.14
977
+ [2025-10-28 22:16:00] (step=0087300) Train Loss: 0.6041, Train Steps/Sec: 1.14
978
+ [2025-10-28 22:17:28] (step=0087400) Train Loss: 0.6037, Train Steps/Sec: 1.14
979
+ [2025-10-28 22:18:56] (step=0087500) Train Loss: 0.6044, Train Steps/Sec: 1.14
980
+ [2025-10-28 22:19:58] Beginning epoch 70...
981
+ [2025-10-28 22:20:26] (step=0087600) Train Loss: 0.6040, Train Steps/Sec: 1.10
982
+ [2025-10-28 22:21:55] (step=0087700) Train Loss: 0.6021, Train Steps/Sec: 1.14
983
+ [2025-10-28 22:23:22] (step=0087800) Train Loss: 0.6029, Train Steps/Sec: 1.14
984
+ [2025-10-28 22:24:50] (step=0087900) Train Loss: 0.6042, Train Steps/Sec: 1.14
985
+ [2025-10-28 22:26:18] (step=0088000) Train Loss: 0.6038, Train Steps/Sec: 1.14
986
+ [2025-10-28 22:27:46] (step=0088100) Train Loss: 0.6041, Train Steps/Sec: 1.14
987
+ [2025-10-28 22:29:14] (step=0088200) Train Loss: 0.6032, Train Steps/Sec: 1.14
988
+ [2025-10-28 22:30:42] (step=0088300) Train Loss: 0.6040, Train Steps/Sec: 1.14
989
+ [2025-10-28 22:32:11] (step=0088400) Train Loss: 0.6037, Train Steps/Sec: 1.13
990
+ [2025-10-28 22:33:39] (step=0088500) Train Loss: 0.6031, Train Steps/Sec: 1.14
991
+ [2025-10-28 22:35:07] (step=0088600) Train Loss: 0.6029, Train Steps/Sec: 1.14
992
+ [2025-10-28 22:36:35] (step=0088700) Train Loss: 0.6031, Train Steps/Sec: 1.14
993
+ [2025-10-28 22:38:03] (step=0088800) Train Loss: 0.6040, Train Steps/Sec: 1.14
994
+ [2025-10-28 22:38:22] Beginning epoch 71...
995
+ [2025-10-28 22:39:33] (step=0088900) Train Loss: 0.6051, Train Steps/Sec: 1.10
996
+ [2025-10-28 22:41:01] (step=0089000) Train Loss: 0.6044, Train Steps/Sec: 1.14
997
+ [2025-10-28 22:42:29] (step=0089100) Train Loss: 0.6033, Train Steps/Sec: 1.14