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+ [2025-10-29 12:51:05] Experiment directory created at results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-spnorm-bf16
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+ [2025-10-29 12:51:08] using MLP layer as FFN
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+ [2025-10-29 12:51:23] Model Parameters: 1200.86M
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+ [2025-10-29 12:51:28] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/train)
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+ [2025-10-29 12:51:28] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-29 12:51:28] Precision mode: bf16
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+ [2025-10-29 12:51:28] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-29 12:51:28] Optimizer: ADAMW with lr=0.0002, betas=(0.9, 0.95), weight_decay=0.0, eps=1e-08
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+ Scheduler: linear with warmup_steps=0, decay_end_steps=0, final_lr=0.0002
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+ [2025-10-29 12:51:28] Training for 80 epochs...
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+ [2025-10-29 12:51:28] Beginning epoch 0...
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+ [2025-10-29 13:28:24] Experiment directory created at results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-spnorm-bf16
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+ [2025-10-29 13:28:26] using MLP layer as FFN
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+ [2025-10-29 13:28:41] Model Parameters: 1200.86M
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+ [2025-10-29 13:28:45] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/train)
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+ [2025-10-29 13:28:45] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-29 13:28:45] Precision mode: bf16
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+ [2025-10-29 13:28:45] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-29 13:28:45] Optimizer: ADAMW with lr=0.0002, betas=(0.9, 0.95), weight_decay=0.0, eps=1e-08
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+ Scheduler: linear with warmup_steps=0, decay_end_steps=0, final_lr=0.0002
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+ [2025-10-29 13:28:45] Training for 80 epochs...
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+ [2025-10-29 13:28:45] Beginning epoch 0...
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+ [2025-10-29 13:28:50] Generating EMA samples...
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+ [2025-10-29 13:29:20] Generating EMA samples done.
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+ [2025-10-29 13:30:37] (step=0000100) Train Loss: 1.5675, Train Steps/Sec: 0.89
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+ [2025-10-29 13:31:56] (step=0000200) Train Loss: 1.2364, Train Steps/Sec: 1.27
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+ [2025-10-29 13:33:14] (step=0000300) Train Loss: 1.0025, Train Steps/Sec: 1.27
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+ [2025-10-29 13:34:33] (step=0000400) Train Loss: 0.9085, Train Steps/Sec: 1.27
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+ [2025-10-29 13:35:51] (step=0000500) Train Loss: 0.8605, Train Steps/Sec: 1.27
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+ [2025-10-29 13:37:10] (step=0000600) Train Loss: 0.8292, Train Steps/Sec: 1.27
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+ [2025-10-29 13:38:29] (step=0000700) Train Loss: 0.8044, Train Steps/Sec: 1.27
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+ [2025-10-29 13:39:47] (step=0000800) Train Loss: 0.7864, Train Steps/Sec: 1.27
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+ [2025-10-29 13:41:06] (step=0000900) Train Loss: 0.7697, Train Steps/Sec: 1.27
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+ [2025-10-29 13:42:25] (step=0001000) Train Loss: 0.7574, Train Steps/Sec: 1.27
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+ [2025-10-29 13:43:43] (step=0001100) Train Loss: 0.7472, Train Steps/Sec: 1.27
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+ [2025-10-29 13:45:02] (step=0001200) Train Loss: 0.7379, Train Steps/Sec: 1.27
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+ [2025-10-29 13:45:42] Beginning epoch 1...
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+ [2025-10-29 13:46:23] (step=0001300) Train Loss: 0.7302, Train Steps/Sec: 1.23
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+ [2025-10-29 13:47:41] (step=0001400) Train Loss: 0.7233, Train Steps/Sec: 1.27
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+ [2025-10-29 13:49:00] (step=0001500) Train Loss: 0.7171, Train Steps/Sec: 1.27
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+ [2025-10-29 13:50:19] (step=0001600) Train Loss: 0.7139, Train Steps/Sec: 1.27
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+ [2025-10-29 13:51:37] (step=0001700) Train Loss: 0.7080, Train Steps/Sec: 1.27
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+ [2025-10-29 13:52:56] (step=0001800) Train Loss: 0.7049, Train Steps/Sec: 1.27
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+ [2025-10-29 13:54:14] (step=0001900) Train Loss: 0.6997, Train Steps/Sec: 1.27
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+ [2025-10-29 13:55:33] (step=0002000) Train Loss: 0.6957, Train Steps/Sec: 1.27
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+ [2025-10-29 13:56:52] (step=0002100) Train Loss: 0.6924, Train Steps/Sec: 1.27
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+ [2025-10-29 13:58:10] (step=0002200) Train Loss: 0.6906, Train Steps/Sec: 1.27
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+ [2025-10-29 13:59:29] (step=0002300) Train Loss: 0.6877, Train Steps/Sec: 1.27
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+ [2025-10-29 14:00:47] (step=0002400) Train Loss: 0.6842, Train Steps/Sec: 1.27
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+ [2025-10-29 14:02:06] (step=0002500) Train Loss: 0.6800, Train Steps/Sec: 1.27
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+ [2025-10-29 14:02:08] Beginning epoch 2...
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+ [2025-10-29 14:03:28] (step=0002600) Train Loss: 0.6775, Train Steps/Sec: 1.22
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+ [2025-10-29 14:04:46] (step=0002700) Train Loss: 0.6772, Train Steps/Sec: 1.27
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+ [2025-10-29 14:06:05] (step=0002800) Train Loss: 0.6746, Train Steps/Sec: 1.27
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+ [2025-10-29 14:07:23] (step=0002900) Train Loss: 0.6732, Train Steps/Sec: 1.27
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+ [2025-10-29 14:08:42] (step=0003000) Train Loss: 0.6712, Train Steps/Sec: 1.27
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+ [2025-10-29 14:10:00] (step=0003100) Train Loss: 0.6688, Train Steps/Sec: 1.27
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+ [2025-10-29 14:11:19] (step=0003200) Train Loss: 0.6676, Train Steps/Sec: 1.27
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+ [2025-10-29 14:12:38] (step=0003300) Train Loss: 0.6662, Train Steps/Sec: 1.27
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+ [2025-10-29 14:13:56] (step=0003400) Train Loss: 0.6648, Train Steps/Sec: 1.27
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+ [2025-10-29 14:15:15] (step=0003500) Train Loss: 0.6628, Train Steps/Sec: 1.27
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+ [2025-10-29 14:16:34] (step=0003600) Train Loss: 0.6611, Train Steps/Sec: 1.27
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+ [2025-10-29 14:17:52] (step=0003700) Train Loss: 0.6596, Train Steps/Sec: 1.27
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+ [2025-10-29 14:18:34] Beginning epoch 3...
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+ [2025-10-29 14:19:13] (step=0003800) Train Loss: 0.6582, Train Steps/Sec: 1.23
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+ [2025-10-29 14:20:32] (step=0003900) Train Loss: 0.6571, Train Steps/Sec: 1.27
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+ [2025-10-29 14:21:50] (step=0004000) Train Loss: 0.6551, Train Steps/Sec: 1.27
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+ [2025-10-29 14:23:09] (step=0004100) Train Loss: 0.6547, Train Steps/Sec: 1.27
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+ [2025-10-29 14:24:28] (step=0004200) Train Loss: 0.6545, Train Steps/Sec: 1.27
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+ [2025-10-29 14:25:47] (step=0004300) Train Loss: 0.6521, Train Steps/Sec: 1.26
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+ [2025-10-29 14:27:05] (step=0004400) Train Loss: 0.6504, Train Steps/Sec: 1.27
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+ [2025-10-29 14:28:24] (step=0004500) Train Loss: 0.6495, Train Steps/Sec: 1.27
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+ [2025-10-29 14:29:43] (step=0004600) Train Loss: 0.6495, Train Steps/Sec: 1.27
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+ [2025-10-29 14:31:01] (step=0004700) Train Loss: 0.6487, Train Steps/Sec: 1.27
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+ [2025-10-29 14:32:20] (step=0004800) Train Loss: 0.6474, Train Steps/Sec: 1.27
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+ [2025-10-29 14:33:38] (step=0004900) Train Loss: 0.6462, Train Steps/Sec: 1.27
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+ [2025-10-29 14:34:57] (step=0005000) Train Loss: 0.6439, Train Steps/Sec: 1.27
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+ [2025-10-29 14:35:01] Beginning epoch 4...
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+ [2025-10-29 14:36:18] (step=0005100) Train Loss: 0.6434, Train Steps/Sec: 1.23
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+ [2025-10-29 14:37:36] (step=0005200) Train Loss: 0.6424, Train Steps/Sec: 1.27
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+ [2025-10-29 14:38:55] (step=0005300) Train Loss: 0.6429, Train Steps/Sec: 1.27
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+ [2025-10-29 14:40:14] (step=0005400) Train Loss: 0.6420, Train Steps/Sec: 1.27
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+ [2025-10-29 14:41:32] (step=0005500) Train Loss: 0.6408, Train Steps/Sec: 1.27
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+ [2025-10-29 14:42:51] (step=0005600) Train Loss: 0.6394, Train Steps/Sec: 1.27
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+ [2025-10-29 14:44:09] (step=0005700) Train Loss: 0.6383, Train Steps/Sec: 1.27
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+ [2025-10-29 14:45:28] (step=0005800) Train Loss: 0.6397, Train Steps/Sec: 1.27
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+ [2025-10-29 14:46:46] (step=0005900) Train Loss: 0.6375, Train Steps/Sec: 1.27
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+ [2025-10-29 14:48:06] (step=0006000) Train Loss: 0.6384, Train Steps/Sec: 1.26
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+ [2025-10-29 14:49:24] (step=0006100) Train Loss: 0.6361, Train Steps/Sec: 1.27
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+ [2025-10-29 14:50:43] (step=0006200) Train Loss: 0.6369, Train Steps/Sec: 1.27
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+ [2025-10-29 14:51:26] Beginning epoch 5...
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+ [2025-10-29 14:52:04] (step=0006300) Train Loss: 0.6342, Train Steps/Sec: 1.23
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+ [2025-10-29 14:53:22] (step=0006400) Train Loss: 0.6330, Train Steps/Sec: 1.27
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+ [2025-10-29 14:54:41] (step=0006500) Train Loss: 0.6340, Train Steps/Sec: 1.27
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+ [2025-10-29 14:55:59] (step=0006600) Train Loss: 0.6332, Train Steps/Sec: 1.27
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+ [2025-10-29 14:57:18] (step=0006700) Train Loss: 0.6329, Train Steps/Sec: 1.27
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+ [2025-10-29 14:58:36] (step=0006800) Train Loss: 0.6319, Train Steps/Sec: 1.27
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+ [2025-10-29 14:59:55] (step=0006900) Train Loss: 0.6317, Train Steps/Sec: 1.27
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+ [2025-10-29 15:01:14] (step=0007000) Train Loss: 0.6300, Train Steps/Sec: 1.27
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+ [2025-10-29 15:02:32] (step=0007100) Train Loss: 0.6297, Train Steps/Sec: 1.27
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+ [2025-10-29 15:03:51] (step=0007200) Train Loss: 0.6284, Train Steps/Sec: 1.27
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+ [2025-10-29 15:05:09] (step=0007300) Train Loss: 0.6310, Train Steps/Sec: 1.27
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+ [2025-10-29 15:06:28] (step=0007400) Train Loss: 0.6286, Train Steps/Sec: 1.27
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+ [2025-10-29 15:07:46] (step=0007500) Train Loss: 0.6279, Train Steps/Sec: 1.27
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+ [2025-10-29 15:07:51] Beginning epoch 6...
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+ [2025-10-29 15:09:07] (step=0007600) Train Loss: 0.6269, Train Steps/Sec: 1.23
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+ [2025-10-29 15:10:27] (step=0007700) Train Loss: 0.6267, Train Steps/Sec: 1.26
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+ [2025-10-29 15:11:45] (step=0007800) Train Loss: 0.6272, Train Steps/Sec: 1.27
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+ [2025-10-29 15:13:04] (step=0007900) Train Loss: 0.6241, Train Steps/Sec: 1.27
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+ [2025-10-29 15:14:22] (step=0008000) Train Loss: 0.6258, Train Steps/Sec: 1.27
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+ [2025-10-29 15:15:41] (step=0008100) Train Loss: 0.6245, Train Steps/Sec: 1.27
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+ [2025-10-29 15:16:59] (step=0008200) Train Loss: 0.6232, Train Steps/Sec: 1.27
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+ [2025-10-29 15:18:18] (step=0008300) Train Loss: 0.6245, Train Steps/Sec: 1.27
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+ [2025-10-29 15:19:37] (step=0008400) Train Loss: 0.6217, Train Steps/Sec: 1.27
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+ [2025-10-29 15:20:55] (step=0008500) Train Loss: 0.6223, Train Steps/Sec: 1.27
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+ [2025-10-29 15:22:14] (step=0008600) Train Loss: 0.6222, Train Steps/Sec: 1.27
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+ [2025-10-29 15:23:32] (step=0008700) Train Loss: 0.6232, Train Steps/Sec: 1.27
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+ [2025-10-29 15:24:17] Beginning epoch 7...
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+ [2025-10-29 15:24:53] (step=0008800) Train Loss: 0.6205, Train Steps/Sec: 1.23
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+ [2025-10-29 15:26:12] (step=0008900) Train Loss: 0.6207, Train Steps/Sec: 1.27
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+ [2025-10-29 15:27:30] (step=0009000) Train Loss: 0.6211, Train Steps/Sec: 1.27
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+ [2025-10-29 15:28:49] (step=0009100) Train Loss: 0.6188, Train Steps/Sec: 1.27
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+ [2025-10-29 15:30:07] (step=0009200) Train Loss: 0.6197, Train Steps/Sec: 1.27
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+ [2025-10-29 15:31:27] (step=0009300) Train Loss: 0.6191, Train Steps/Sec: 1.26
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+ [2025-10-29 15:32:45] (step=0009400) Train Loss: 0.6190, Train Steps/Sec: 1.27
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+ [2025-10-29 15:34:04] (step=0009500) Train Loss: 0.6179, Train Steps/Sec: 1.27
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+ [2025-10-29 15:35:22] (step=0009600) Train Loss: 0.6173, Train Steps/Sec: 1.27
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+ [2025-10-29 15:36:41] (step=0009700) Train Loss: 0.6168, Train Steps/Sec: 1.27
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+ [2025-10-29 15:37:59] (step=0009800) Train Loss: 0.6157, Train Steps/Sec: 1.27
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+ [2025-10-29 15:39:18] (step=0009900) Train Loss: 0.6162, Train Steps/Sec: 1.27
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+ [2025-10-29 15:40:37] (step=0010000) Train Loss: 0.6178, Train Steps/Sec: 1.27
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+ [2025-10-29 15:40:43] Beginning epoch 8...
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+ [2025-10-29 15:41:58] (step=0010100) Train Loss: 0.6159, Train Steps/Sec: 1.23
134
+ [2025-10-29 15:43:16] (step=0010200) Train Loss: 0.6154, Train Steps/Sec: 1.27
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+ [2025-10-29 15:44:35] (step=0010300) Train Loss: 0.6147, Train Steps/Sec: 1.27
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+ [2025-10-29 15:45:54] (step=0010400) Train Loss: 0.6143, Train Steps/Sec: 1.27
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+ [2025-10-29 15:47:12] (step=0010500) Train Loss: 0.6148, Train Steps/Sec: 1.27
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+ [2025-10-29 15:48:31] (step=0010600) Train Loss: 0.6129, Train Steps/Sec: 1.27
139
+ [2025-10-29 15:49:49] (step=0010700) Train Loss: 0.6141, Train Steps/Sec: 1.27
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+ [2025-10-29 15:51:08] (step=0010800) Train Loss: 0.6131, Train Steps/Sec: 1.27
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+ [2025-10-29 15:52:27] (step=0010900) Train Loss: 0.6135, Train Steps/Sec: 1.27
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+ [2025-10-29 15:53:46] (step=0011000) Train Loss: 0.6112, Train Steps/Sec: 1.26
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+ [2025-10-29 15:55:04] (step=0011100) Train Loss: 0.6135, Train Steps/Sec: 1.27
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+ [2025-10-29 15:56:23] (step=0011200) Train Loss: 0.6129, Train Steps/Sec: 1.27
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+ [2025-10-29 15:57:10] Beginning epoch 9...
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+ [2025-10-29 15:57:44] (step=0011300) Train Loss: 0.6111, Train Steps/Sec: 1.23
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+ [2025-10-29 15:59:03] (step=0011400) Train Loss: 0.6105, Train Steps/Sec: 1.27
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+ [2025-10-29 16:00:21] (step=0011500) Train Loss: 0.6104, Train Steps/Sec: 1.27
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+ [2025-10-29 16:01:40] (step=0011600) Train Loss: 0.6104, Train Steps/Sec: 1.27
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+ [2025-10-29 16:02:58] (step=0011700) Train Loss: 0.6099, Train Steps/Sec: 1.27
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+ [2025-10-29 16:04:17] (step=0011800) Train Loss: 0.6098, Train Steps/Sec: 1.27
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+ [2025-10-29 16:05:36] (step=0011900) Train Loss: 0.6076, Train Steps/Sec: 1.27
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+ [2025-10-29 16:06:54] (step=0012000) Train Loss: 0.6097, Train Steps/Sec: 1.27
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+ [2025-10-29 16:08:13] (step=0012100) Train Loss: 0.6084, Train Steps/Sec: 1.27
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+ [2025-10-29 16:09:31] (step=0012200) Train Loss: 0.6072, Train Steps/Sec: 1.27
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+ [2025-10-29 16:10:50] (step=0012300) Train Loss: 0.6080, Train Steps/Sec: 1.27
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+ [2025-10-29 16:12:09] (step=0012400) Train Loss: 0.6071, Train Steps/Sec: 1.27
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+ [2025-10-29 16:13:27] (step=0012500) Train Loss: 0.6081, Train Steps/Sec: 1.27
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+ [2025-10-29 16:13:35] Beginning epoch 10...
160
+ [2025-10-29 16:14:48] (step=0012600) Train Loss: 0.6061, Train Steps/Sec: 1.23
161
+ [2025-10-29 16:16:07] (step=0012700) Train Loss: 0.6068, Train Steps/Sec: 1.26
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+ [2025-10-29 16:17:26] (step=0012800) Train Loss: 0.6073, Train Steps/Sec: 1.27
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+ [2025-10-29 16:18:44] (step=0012900) Train Loss: 0.6070, Train Steps/Sec: 1.27
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+ [2025-10-29 16:20:03] (step=0013000) Train Loss: 0.6052, Train Steps/Sec: 1.27
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+ [2025-10-29 16:21:22] (step=0013100) Train Loss: 0.6048, Train Steps/Sec: 1.27
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+ [2025-10-29 16:22:40] (step=0013200) Train Loss: 0.6060, Train Steps/Sec: 1.27
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+ [2025-10-29 16:23:59] (step=0013300) Train Loss: 0.6056, Train Steps/Sec: 1.27
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+ [2025-10-29 16:25:17] (step=0013400) Train Loss: 0.6040, Train Steps/Sec: 1.27
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+ [2025-10-29 16:26:36] (step=0013500) Train Loss: 0.6044, Train Steps/Sec: 1.27
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+ [2025-10-29 16:27:55] (step=0013600) Train Loss: 0.6055, Train Steps/Sec: 1.27
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+ [2025-10-29 16:29:13] (step=0013700) Train Loss: 0.6049, Train Steps/Sec: 1.27
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+ [2025-10-29 16:30:02] Beginning epoch 11...
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+ [2025-10-29 16:30:35] (step=0013800) Train Loss: 0.6048, Train Steps/Sec: 1.22
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+ [2025-10-29 16:31:53] (step=0013900) Train Loss: 0.6031, Train Steps/Sec: 1.27
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+ [2025-10-29 16:33:12] (step=0014000) Train Loss: 0.6026, Train Steps/Sec: 1.27
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+ [2025-10-29 16:34:31] (step=0014100) Train Loss: 0.6009, Train Steps/Sec: 1.27
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+ [2025-10-29 16:35:49] (step=0014200) Train Loss: 0.6026, Train Steps/Sec: 1.27
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+ [2025-10-29 16:37:08] (step=0014300) Train Loss: 0.6014, Train Steps/Sec: 1.27
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+ [2025-10-29 16:38:27] (step=0014400) Train Loss: 0.6020, Train Steps/Sec: 1.26
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+ [2025-10-29 16:39:46] (step=0014500) Train Loss: 0.6008, Train Steps/Sec: 1.27
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+ [2025-10-29 16:41:04] (step=0014600) Train Loss: 0.5996, Train Steps/Sec: 1.27
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+ [2025-10-29 16:42:23] (step=0014700) Train Loss: 0.6019, Train Steps/Sec: 1.27
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+ [2025-10-29 16:43:41] (step=0014800) Train Loss: 0.6006, Train Steps/Sec: 1.27
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+ [2025-10-29 16:45:00] (step=0014900) Train Loss: 0.6013, Train Steps/Sec: 1.27
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+ [2025-10-29 16:46:19] (step=0015000) Train Loss: 0.5996, Train Steps/Sec: 1.27
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+ [2025-10-29 16:46:28] Beginning epoch 12...
187
+ [2025-10-29 16:47:40] (step=0015100) Train Loss: 0.5984, Train Steps/Sec: 1.23
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+ [2025-10-29 16:48:58] (step=0015200) Train Loss: 0.5993, Train Steps/Sec: 1.27
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+ [2025-10-29 16:50:17] (step=0015300) Train Loss: 0.5985, Train Steps/Sec: 1.27
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+ [2025-10-29 16:51:35] (step=0015400) Train Loss: 0.5994, Train Steps/Sec: 1.27
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+ [2025-10-29 16:52:54] (step=0015500) Train Loss: 0.5982, Train Steps/Sec: 1.27
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+ [2025-10-29 16:54:12] (step=0015600) Train Loss: 0.5984, Train Steps/Sec: 1.27
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+ [2025-10-29 16:55:31] (step=0015700) Train Loss: 0.5976, Train Steps/Sec: 1.27
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+ [2025-10-29 16:56:49] (step=0015800) Train Loss: 0.5979, Train Steps/Sec: 1.27
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+ [2025-10-29 16:58:08] (step=0015900) Train Loss: 0.5988, Train Steps/Sec: 1.27
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+ [2025-10-29 16:59:27] (step=0016000) Train Loss: 0.5968, Train Steps/Sec: 1.27
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+ [2025-10-29 17:00:46] (step=0016100) Train Loss: 0.5966, Train Steps/Sec: 1.27
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+ [2025-10-29 17:02:04] (step=0016200) Train Loss: 0.5964, Train Steps/Sec: 1.27
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+ [2025-10-29 17:02:54] Beginning epoch 13...
200
+ [2025-10-29 17:03:26] (step=0016300) Train Loss: 0.5974, Train Steps/Sec: 1.23
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+ [2025-10-29 17:04:44] (step=0016400) Train Loss: 0.5959, Train Steps/Sec: 1.27
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+ [2025-10-29 17:06:03] (step=0016500) Train Loss: 0.5935, Train Steps/Sec: 1.27
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+ [2025-10-29 17:07:21] (step=0016600) Train Loss: 0.5954, Train Steps/Sec: 1.27
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+ [2025-10-29 17:08:40] (step=0016700) Train Loss: 0.5960, Train Steps/Sec: 1.27
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+ [2025-10-29 17:09:58] (step=0016800) Train Loss: 0.5954, Train Steps/Sec: 1.27
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+ [2025-10-29 17:11:17] (step=0016900) Train Loss: 0.5944, Train Steps/Sec: 1.27
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+ [2025-10-29 17:12:36] (step=0017000) Train Loss: 0.5940, Train Steps/Sec: 1.27
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+ [2025-10-29 17:13:54] (step=0017100) Train Loss: 0.5943, Train Steps/Sec: 1.27
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+ [2025-10-29 17:15:13] (step=0017200) Train Loss: 0.5942, Train Steps/Sec: 1.27
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+ [2025-10-29 17:16:31] (step=0017300) Train Loss: 0.5940, Train Steps/Sec: 1.27
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+ [2025-10-29 17:17:50] (step=0017400) Train Loss: 0.5941, Train Steps/Sec: 1.27
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+ [2025-10-29 17:19:08] (step=0017500) Train Loss: 0.5944, Train Steps/Sec: 1.27
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+ [2025-10-29 17:19:20] Beginning epoch 14...
214
+ [2025-10-29 17:20:30] (step=0017600) Train Loss: 0.5925, Train Steps/Sec: 1.23
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+ [2025-10-29 17:21:49] (step=0017700) Train Loss: 0.5914, Train Steps/Sec: 1.26
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+ [2025-10-29 17:23:08] (step=0017800) Train Loss: 0.5922, Train Steps/Sec: 1.27
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+ [2025-10-29 17:24:27] (step=0017900) Train Loss: 0.5930, Train Steps/Sec: 1.27
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+ [2025-10-29 17:25:45] (step=0018000) Train Loss: 0.5932, Train Steps/Sec: 1.27
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+ [2025-10-29 17:27:04] (step=0018100) Train Loss: 0.5917, Train Steps/Sec: 1.27
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+ [2025-10-29 17:28:22] (step=0018200) Train Loss: 0.5920, Train Steps/Sec: 1.27
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+ [2025-10-29 17:29:41] (step=0018300) Train Loss: 0.5929, Train Steps/Sec: 1.27
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+ [2025-10-29 17:30:59] (step=0018400) Train Loss: 0.5919, Train Steps/Sec: 1.27
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+ [2025-10-29 17:32:18] (step=0018500) Train Loss: 0.5925, Train Steps/Sec: 1.27
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+ [2025-10-29 17:33:36] (step=0018600) Train Loss: 0.5913, Train Steps/Sec: 1.27
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+ [2025-10-29 17:34:55] (step=0018700) Train Loss: 0.5900, Train Steps/Sec: 1.27
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+ [2025-10-29 17:35:47] Beginning epoch 15...
227
+ [2025-10-29 17:36:16] (step=0018800) Train Loss: 0.5916, Train Steps/Sec: 1.23
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+ [2025-10-29 17:37:35] (step=0018900) Train Loss: 0.5911, Train Steps/Sec: 1.27
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+ [2025-10-29 17:38:54] (step=0019000) Train Loss: 0.5907, Train Steps/Sec: 1.27
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+ [2025-10-29 17:40:12] (step=0019100) Train Loss: 0.5902, Train Steps/Sec: 1.27
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+ [2025-10-29 17:41:31] (step=0019200) Train Loss: 0.5889, Train Steps/Sec: 1.27
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+ [2025-10-29 17:42:49] (step=0019300) Train Loss: 0.5899, Train Steps/Sec: 1.27
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+ [2025-10-29 17:44:09] (step=0019400) Train Loss: 0.5902, Train Steps/Sec: 1.26
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+ [2025-10-29 17:45:27] (step=0019500) Train Loss: 0.5888, Train Steps/Sec: 1.27
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+ [2025-10-29 17:46:46] (step=0019600) Train Loss: 0.5892, Train Steps/Sec: 1.27
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+ [2025-10-29 17:48:04] (step=0019700) Train Loss: 0.5881, Train Steps/Sec: 1.27
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+ [2025-10-29 17:49:23] (step=0019800) Train Loss: 0.5885, Train Steps/Sec: 1.27
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+ [2025-10-29 17:50:41] (step=0019900) Train Loss: 0.5885, Train Steps/Sec: 1.27
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+ [2025-10-29 17:52:00] (step=0020000) Train Loss: 0.5879, Train Steps/Sec: 1.27
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+ [2025-10-29 17:52:13] Beginning epoch 16...
241
+ [2025-10-29 17:53:21] (step=0020100) Train Loss: 0.5885, Train Steps/Sec: 1.23
242
+ [2025-10-29 17:54:40] (step=0020200) Train Loss: 0.5876, Train Steps/Sec: 1.27
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+ [2025-10-29 17:55:58] (step=0020300) Train Loss: 0.5878, Train Steps/Sec: 1.27
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+ [2025-10-29 17:57:17] (step=0020400) Train Loss: 0.5862, Train Steps/Sec: 1.27
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+ [2025-10-29 17:58:35] (step=0020500) Train Loss: 0.5860, Train Steps/Sec: 1.27
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+ [2025-10-29 17:59:54] (step=0020600) Train Loss: 0.5865, Train Steps/Sec: 1.27
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+ [2025-10-29 18:01:13] (step=0020700) Train Loss: 0.5864, Train Steps/Sec: 1.27
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+ [2025-10-29 18:02:31] (step=0020800) Train Loss: 0.5872, Train Steps/Sec: 1.27
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+ [2025-10-29 18:03:50] (step=0020900) Train Loss: 0.5873, Train Steps/Sec: 1.27
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+ [2025-10-29 18:05:09] (step=0021000) Train Loss: 0.5844, Train Steps/Sec: 1.26
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+ [2025-10-29 18:06:28] (step=0021100) Train Loss: 0.5867, Train Steps/Sec: 1.27
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+ [2025-10-29 18:07:46] (step=0021200) Train Loss: 0.5863, Train Steps/Sec: 1.27
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+ [2025-10-29 18:08:40] Beginning epoch 17...
254
+ [2025-10-29 18:09:08] (step=0021300) Train Loss: 0.5845, Train Steps/Sec: 1.23
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+ [2025-10-29 18:10:26] (step=0021400) Train Loss: 0.5843, Train Steps/Sec: 1.27
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+ [2025-10-29 18:11:45] (step=0021500) Train Loss: 0.5833, Train Steps/Sec: 1.27
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+ [2025-10-29 18:13:03] (step=0021600) Train Loss: 0.5854, Train Steps/Sec: 1.27
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+ [2025-10-29 18:14:22] (step=0021700) Train Loss: 0.5853, Train Steps/Sec: 1.27
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+ [2025-10-29 18:15:41] (step=0021800) Train Loss: 0.5859, Train Steps/Sec: 1.27
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+ [2025-10-29 18:16:59] (step=0021900) Train Loss: 0.5833, Train Steps/Sec: 1.27
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+ [2025-10-29 18:18:18] (step=0022000) Train Loss: 0.5844, Train Steps/Sec: 1.27
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+ [2025-10-29 18:19:36] (step=0022100) Train Loss: 0.5853, Train Steps/Sec: 1.27
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+ [2025-10-29 18:20:55] (step=0022200) Train Loss: 0.5833, Train Steps/Sec: 1.27
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+ [2025-10-29 18:22:13] (step=0022300) Train Loss: 0.5854, Train Steps/Sec: 1.27
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+ [2025-10-29 18:23:32] (step=0022400) Train Loss: 0.5839, Train Steps/Sec: 1.27
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+ [2025-10-29 18:24:51] (step=0022500) Train Loss: 0.5841, Train Steps/Sec: 1.27
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+ [2025-10-29 18:25:05] Beginning epoch 18...
268
+ [2025-10-29 18:26:12] (step=0022600) Train Loss: 0.5833, Train Steps/Sec: 1.23
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+ [2025-10-29 18:27:31] (step=0022700) Train Loss: 0.5830, Train Steps/Sec: 1.26
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+ [2025-10-29 18:28:50] (step=0022800) Train Loss: 0.5825, Train Steps/Sec: 1.27
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+ [2025-10-29 18:30:09] (step=0022900) Train Loss: 0.5812, Train Steps/Sec: 1.27
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+ [2025-10-29 18:31:27] (step=0023000) Train Loss: 0.5832, Train Steps/Sec: 1.27
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+ [2025-10-29 18:32:46] (step=0023100) Train Loss: 0.5822, Train Steps/Sec: 1.27
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+ [2025-10-29 18:34:04] (step=0023200) Train Loss: 0.5804, Train Steps/Sec: 1.27
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+ [2025-10-29 18:35:23] (step=0023300) Train Loss: 0.5815, Train Steps/Sec: 1.27
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+ [2025-10-29 18:36:41] (step=0023400) Train Loss: 0.5822, Train Steps/Sec: 1.27
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+ [2025-10-29 18:38:00] (step=0023500) Train Loss: 0.5833, Train Steps/Sec: 1.27
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+ [2025-10-29 18:39:19] (step=0023600) Train Loss: 0.5820, Train Steps/Sec: 1.27
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+ [2025-10-29 18:40:37] (step=0023700) Train Loss: 0.5818, Train Steps/Sec: 1.27
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+ [2025-10-29 18:41:32] Beginning epoch 19...
281
+ [2025-10-29 18:41:58] (step=0023800) Train Loss: 0.5823, Train Steps/Sec: 1.23
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+ [2025-10-29 18:43:17] (step=0023900) Train Loss: 0.5812, Train Steps/Sec: 1.27
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+ [2025-10-29 18:44:36] (step=0024000) Train Loss: 0.5816, Train Steps/Sec: 1.27
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+ [2025-10-29 18:45:54] (step=0024100) Train Loss: 0.5800, Train Steps/Sec: 1.27
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+ [2025-10-29 18:47:13] (step=0024200) Train Loss: 0.5797, Train Steps/Sec: 1.27
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+ [2025-10-29 18:48:31] (step=0024300) Train Loss: 0.5801, Train Steps/Sec: 1.27
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+ [2025-10-29 18:49:51] (step=0024400) Train Loss: 0.5810, Train Steps/Sec: 1.26
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+ [2025-10-29 18:51:09] (step=0024500) Train Loss: 0.5802, Train Steps/Sec: 1.27
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+ [2025-10-29 18:52:28] (step=0024600) Train Loss: 0.5798, Train Steps/Sec: 1.27
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+ [2025-10-29 18:53:47] (step=0024700) Train Loss: 0.5803, Train Steps/Sec: 1.27
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+ [2025-10-29 18:55:05] (step=0024800) Train Loss: 0.5800, Train Steps/Sec: 1.27
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+ [2025-10-29 18:56:24] (step=0024900) Train Loss: 0.5788, Train Steps/Sec: 1.27
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+ [2025-10-29 18:57:43] (step=0025000) Train Loss: 0.5789, Train Steps/Sec: 1.27
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+ [2025-10-29 18:58:43] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-spnorm-bf16/checkpoints/0025000.pt
295
+ [2025-10-29 18:58:43] Generating EMA samples...
296
+ [2025-10-29 18:59:11] Generating EMA samples done.
297
+ [2025-10-29 18:59:27] Beginning epoch 20...
298
+ [2025-10-29 19:00:31] (step=0025100) Train Loss: 0.5793, Train Steps/Sec: 0.59
299
+ [2025-10-29 19:01:50] (step=0025200) Train Loss: 0.5766, Train Steps/Sec: 1.27
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+ [2025-10-29 19:03:08] (step=0025300) Train Loss: 0.5788, Train Steps/Sec: 1.27
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+ [2025-10-29 19:04:27] (step=0025400) Train Loss: 0.5795, Train Steps/Sec: 1.27
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+ [2025-10-29 19:05:46] (step=0025500) Train Loss: 0.5779, Train Steps/Sec: 1.27
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+ [2025-10-29 19:07:04] (step=0025600) Train Loss: 0.5776, Train Steps/Sec: 1.27
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+ [2025-10-29 19:08:23] (step=0025700) Train Loss: 0.5783, Train Steps/Sec: 1.27
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+ [2025-10-29 19:09:41] (step=0025800) Train Loss: 0.5790, Train Steps/Sec: 1.27
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+ [2025-10-29 19:11:00] (step=0025900) Train Loss: 0.5788, Train Steps/Sec: 1.27
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+ [2025-10-29 19:12:19] (step=0026000) Train Loss: 0.5791, Train Steps/Sec: 1.27
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+ [2025-10-29 19:13:38] (step=0026100) Train Loss: 0.5794, Train Steps/Sec: 1.26
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+ [2025-10-29 19:14:57] (step=0026200) Train Loss: 0.5787, Train Steps/Sec: 1.27
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+ [2025-10-29 19:15:53] Beginning epoch 21...
311
+ [2025-10-29 19:16:18] (step=0026300) Train Loss: 0.5768, Train Steps/Sec: 1.23
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+ [2025-10-29 19:17:36] (step=0026400) Train Loss: 0.5771, Train Steps/Sec: 1.27
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+ [2025-10-29 19:18:55] (step=0026500) Train Loss: 0.5755, Train Steps/Sec: 1.27
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+ [2025-10-29 19:20:13] (step=0026600) Train Loss: 0.5769, Train Steps/Sec: 1.27
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+ [2025-10-29 19:21:32] (step=0026700) Train Loss: 0.5780, Train Steps/Sec: 1.27
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+ [2025-10-29 19:22:51] (step=0026800) Train Loss: 0.5764, Train Steps/Sec: 1.27
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+ [2025-10-29 19:24:09] (step=0026900) Train Loss: 0.5764, Train Steps/Sec: 1.27
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+ [2025-10-29 19:25:28] (step=0027000) Train Loss: 0.5769, Train Steps/Sec: 1.27
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+ [2025-10-29 19:26:46] (step=0027100) Train Loss: 0.5775, Train Steps/Sec: 1.27
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+ [2025-10-29 19:28:05] (step=0027200) Train Loss: 0.5760, Train Steps/Sec: 1.27
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+ [2025-10-29 19:29:23] (step=0027300) Train Loss: 0.5761, Train Steps/Sec: 1.27
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+ [2025-10-29 19:30:42] (step=0027400) Train Loss: 0.5759, Train Steps/Sec: 1.27
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+ [2025-10-29 19:32:00] (step=0027500) Train Loss: 0.5753, Train Steps/Sec: 1.27
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+ [2025-10-29 19:32:18] Beginning epoch 22...
325
+ [2025-10-29 19:33:22] (step=0027600) Train Loss: 0.5752, Train Steps/Sec: 1.23
326
+ [2025-10-29 19:34:41] (step=0027700) Train Loss: 0.5747, Train Steps/Sec: 1.26
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+ [2025-10-29 19:36:00] (step=0027800) Train Loss: 0.5764, Train Steps/Sec: 1.27
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+ [2025-10-29 19:37:18] (step=0027900) Train Loss: 0.5748, Train Steps/Sec: 1.27
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+ [2025-10-29 19:38:37] (step=0028000) Train Loss: 0.5743, Train Steps/Sec: 1.27
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+ [2025-10-29 19:39:55] (step=0028100) Train Loss: 0.5769, Train Steps/Sec: 1.27
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+ [2025-10-29 19:41:14] (step=0028200) Train Loss: 0.5751, Train Steps/Sec: 1.27
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+ [2025-10-29 19:42:32] (step=0028300) Train Loss: 0.5754, Train Steps/Sec: 1.27
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+ [2025-10-29 19:43:51] (step=0028400) Train Loss: 0.5752, Train Steps/Sec: 1.27
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+ [2025-10-29 19:45:09] (step=0028500) Train Loss: 0.5757, Train Steps/Sec: 1.27
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+ [2025-10-29 19:46:28] (step=0028600) Train Loss: 0.5729, Train Steps/Sec: 1.27
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+ [2025-10-29 19:47:46] (step=0028700) Train Loss: 0.5738, Train Steps/Sec: 1.27
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+ [2025-10-29 19:48:44] Beginning epoch 23...
338
+ [2025-10-29 19:49:08] (step=0028800) Train Loss: 0.5750, Train Steps/Sec: 1.23
339
+ [2025-10-29 19:50:26] (step=0028900) Train Loss: 0.5731, Train Steps/Sec: 1.27
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+ [2025-10-29 19:51:45] (step=0029000) Train Loss: 0.5739, Train Steps/Sec: 1.27
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+ [2025-10-29 19:53:03] (step=0029100) Train Loss: 0.5726, Train Steps/Sec: 1.27
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+ [2025-10-29 19:54:22] (step=0029200) Train Loss: 0.5737, Train Steps/Sec: 1.27
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+ [2025-10-29 19:55:40] (step=0029300) Train Loss: 0.5735, Train Steps/Sec: 1.27
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+ [2025-10-29 19:57:00] (step=0029400) Train Loss: 0.5738, Train Steps/Sec: 1.26
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+ [2025-10-29 19:58:19] (step=0029500) Train Loss: 0.5740, Train Steps/Sec: 1.27
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+ [2025-10-29 19:59:37] (step=0029600) Train Loss: 0.5730, Train Steps/Sec: 1.27
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+ [2025-10-29 20:00:56] (step=0029700) Train Loss: 0.5737, Train Steps/Sec: 1.27
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+ [2025-10-29 20:02:14] (step=0029800) Train Loss: 0.5730, Train Steps/Sec: 1.27
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+ [2025-10-29 20:03:33] (step=0029900) Train Loss: 0.5726, Train Steps/Sec: 1.27
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+ [2025-10-29 20:04:51] (step=0030000) Train Loss: 0.5730, Train Steps/Sec: 1.27
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+ [2025-10-29 20:05:11] Beginning epoch 24...
352
+ [2025-10-29 20:06:13] (step=0030100) Train Loss: 0.5729, Train Steps/Sec: 1.23
353
+ [2025-10-29 20:07:31] (step=0030200) Train Loss: 0.5721, Train Steps/Sec: 1.27
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+ [2025-10-29 20:08:50] (step=0030300) Train Loss: 0.5727, Train Steps/Sec: 1.27
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+ [2025-10-29 20:10:08] (step=0030400) Train Loss: 0.5718, Train Steps/Sec: 1.27
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+ [2025-10-29 20:14:43] (step=0030500) Train Loss: 0.5708, Train Steps/Sec: 1.28
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+ [2025-10-29 20:16:01] (step=0030600) Train Loss: 0.5726, Train Steps/Sec: 1.27
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+ [2025-10-29 20:17:20] (step=0030700) Train Loss: 0.5718, Train Steps/Sec: 1.27
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+ [2025-10-29 20:18:38] (step=0030800) Train Loss: 0.5713, Train Steps/Sec: 1.27
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+ [2025-10-29 20:19:57] (step=0030900) Train Loss: 0.5720, Train Steps/Sec: 1.27
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+ [2025-10-29 20:21:15] (step=0031000) Train Loss: 0.5709, Train Steps/Sec: 1.27
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+ [2025-10-29 20:22:35] (step=0031100) Train Loss: 0.5720, Train Steps/Sec: 1.26
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+ [2025-10-29 20:23:53] (step=0031200) Train Loss: 0.5733, Train Steps/Sec: 1.27
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+ [2025-10-29 20:24:53] Beginning epoch 25...
365
+ [2025-10-29 20:25:14] (step=0031300) Train Loss: 0.5713, Train Steps/Sec: 1.24
366
+ [2025-10-29 20:26:33] (step=0031400) Train Loss: 0.5715, Train Steps/Sec: 1.27
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+ [2025-10-29 20:27:51] (step=0031500) Train Loss: 0.5690, Train Steps/Sec: 1.27
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+ [2025-10-29 20:29:10] (step=0031600) Train Loss: 0.5711, Train Steps/Sec: 1.27
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+ [2025-10-29 20:30:28] (step=0031700) Train Loss: 0.5704, Train Steps/Sec: 1.27
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+ [2025-10-29 20:31:47] (step=0031800) Train Loss: 0.5707, Train Steps/Sec: 1.27
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+ [2025-10-29 20:33:06] (step=0031900) Train Loss: 0.5703, Train Steps/Sec: 1.27
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+ [2025-10-29 20:34:24] (step=0032000) Train Loss: 0.5691, Train Steps/Sec: 1.27
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+ [2025-10-29 20:35:43] (step=0032100) Train Loss: 0.5702, Train Steps/Sec: 1.27
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+ [2025-10-29 20:37:01] (step=0032200) Train Loss: 0.5706, Train Steps/Sec: 1.27
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+ [2025-10-29 20:38:20] (step=0032300) Train Loss: 0.5687, Train Steps/Sec: 1.27
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+ [2025-10-29 20:39:38] (step=0032400) Train Loss: 0.5693, Train Steps/Sec: 1.27
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+ [2025-10-29 20:40:57] (step=0032500) Train Loss: 0.5700, Train Steps/Sec: 1.27
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+ [2025-10-29 20:41:18] Beginning epoch 26...
379
+ [2025-10-29 20:42:18] (step=0032600) Train Loss: 0.5710, Train Steps/Sec: 1.23
380
+ [2025-10-29 20:43:37] (step=0032700) Train Loss: 0.5708, Train Steps/Sec: 1.26
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+ [2025-10-29 20:44:56] (step=0032800) Train Loss: 0.5694, Train Steps/Sec: 1.27
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+ [2025-10-29 20:46:15] (step=0032900) Train Loss: 0.5691, Train Steps/Sec: 1.27
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+ [2025-10-29 20:47:33] (step=0033000) Train Loss: 0.5678, Train Steps/Sec: 1.27
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+ [2025-10-29 20:48:52] (step=0033100) Train Loss: 0.5697, Train Steps/Sec: 1.27
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+ [2025-10-29 20:50:10] (step=0033200) Train Loss: 0.5689, Train Steps/Sec: 1.27
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+ [2025-10-29 20:51:29] (step=0033300) Train Loss: 0.5720, Train Steps/Sec: 1.27
387
+ [2025-10-29 20:52:48] (step=0033400) Train Loss: 0.5688, Train Steps/Sec: 1.27
388
+ [2025-10-29 20:54:06] (step=0033500) Train Loss: 0.5693, Train Steps/Sec: 1.27
389
+ [2025-10-29 20:55:25] (step=0033600) Train Loss: 0.5699, Train Steps/Sec: 1.27
390
+ [2025-10-29 20:56:43] (step=0033700) Train Loss: 0.5686, Train Steps/Sec: 1.27
391
+ [2025-10-29 20:57:44] Beginning epoch 27...
392
+ [2025-10-29 20:58:05] (step=0033800) Train Loss: 0.5679, Train Steps/Sec: 1.23
393
+ [2025-10-29 20:59:23] (step=0033900) Train Loss: 0.5676, Train Steps/Sec: 1.27
394
+ [2025-10-29 21:00:42] (step=0034000) Train Loss: 0.5683, Train Steps/Sec: 1.27
395
+ [2025-10-29 21:02:00] (step=0034100) Train Loss: 0.5681, Train Steps/Sec: 1.27
396
+ [2025-10-29 21:03:19] (step=0034200) Train Loss: 0.5674, Train Steps/Sec: 1.27
397
+ [2025-10-29 21:04:37] (step=0034300) Train Loss: 0.5681, Train Steps/Sec: 1.27
398
+ [2025-10-29 21:05:57] (step=0034400) Train Loss: 0.5669, Train Steps/Sec: 1.26
399
+ [2025-10-29 21:07:16] (step=0034500) Train Loss: 0.5668, Train Steps/Sec: 1.27
400
+ [2025-10-29 21:08:34] (step=0034600) Train Loss: 0.5661, Train Steps/Sec: 1.27
401
+ [2025-10-29 21:09:53] (step=0034700) Train Loss: 0.5670, Train Steps/Sec: 1.27
402
+ [2025-10-29 21:11:11] (step=0034800) Train Loss: 0.5679, Train Steps/Sec: 1.27
403
+ [2025-10-29 21:12:30] (step=0034900) Train Loss: 0.5666, Train Steps/Sec: 1.27
404
+ [2025-10-29 21:13:48] (step=0035000) Train Loss: 0.5660, Train Steps/Sec: 1.27
405
+ [2025-10-29 21:14:11] Beginning epoch 28...
406
+ [2025-10-29 21:15:09] (step=0035100) Train Loss: 0.5662, Train Steps/Sec: 1.23
407
+ [2025-10-29 21:16:28] (step=0035200) Train Loss: 0.5682, Train Steps/Sec: 1.27
408
+ [2025-10-29 21:17:47] (step=0035300) Train Loss: 0.5681, Train Steps/Sec: 1.27
409
+ [2025-10-29 21:19:05] (step=0035400) Train Loss: 0.5685, Train Steps/Sec: 1.27
410
+ [2025-10-29 21:20:24] (step=0035500) Train Loss: 0.5663, Train Steps/Sec: 1.27
411
+ [2025-10-29 21:21:42] (step=0035600) Train Loss: 0.5653, Train Steps/Sec: 1.27
412
+ [2025-10-29 21:23:01] (step=0035700) Train Loss: 0.5668, Train Steps/Sec: 1.27
413
+ [2025-10-29 21:24:19] (step=0035800) Train Loss: 0.5664, Train Steps/Sec: 1.27
414
+ [2025-10-29 21:25:38] (step=0035900) Train Loss: 0.5675, Train Steps/Sec: 1.27
415
+ [2025-10-29 21:26:56] (step=0036000) Train Loss: 0.5672, Train Steps/Sec: 1.27
416
+ [2025-10-29 21:28:16] (step=0036100) Train Loss: 0.5654, Train Steps/Sec: 1.26
417
+ [2025-10-29 21:29:34] (step=0036200) Train Loss: 0.5663, Train Steps/Sec: 1.27
418
+ [2025-10-29 21:30:37] Beginning epoch 29...
419
+ [2025-10-29 21:30:56] (step=0036300) Train Loss: 0.5656, Train Steps/Sec: 1.23
420
+ [2025-10-29 21:32:14] (step=0036400) Train Loss: 0.5656, Train Steps/Sec: 1.27
421
+ [2025-10-29 21:33:33] (step=0036500) Train Loss: 0.5658, Train Steps/Sec: 1.27
422
+ [2025-10-29 21:34:51] (step=0036600) Train Loss: 0.5646, Train Steps/Sec: 1.27
423
+ [2025-10-29 21:36:10] (step=0036700) Train Loss: 0.5657, Train Steps/Sec: 1.27
424
+ [2025-10-29 21:37:28] (step=0036800) Train Loss: 0.5649, Train Steps/Sec: 1.27
425
+ [2025-10-29 21:38:47] (step=0036900) Train Loss: 0.5652, Train Steps/Sec: 1.27
426
+ [2025-10-29 21:40:05] (step=0037000) Train Loss: 0.5665, Train Steps/Sec: 1.27
427
+ [2025-10-29 21:41:24] (step=0037100) Train Loss: 0.5667, Train Steps/Sec: 1.27
428
+ [2025-10-29 21:42:42] (step=0037200) Train Loss: 0.5650, Train Steps/Sec: 1.27
429
+ [2025-10-29 21:44:01] (step=0037300) Train Loss: 0.5648, Train Steps/Sec: 1.27
430
+ [2025-10-29 21:45:20] (step=0037400) Train Loss: 0.5650, Train Steps/Sec: 1.27
431
+ [2025-10-29 21:46:38] (step=0037500) Train Loss: 0.5648, Train Steps/Sec: 1.27
432
+ [2025-10-29 21:47:02] Beginning epoch 30...
433
+ [2025-10-29 21:47:59] (step=0037600) Train Loss: 0.5632, Train Steps/Sec: 1.23
434
+ [2025-10-29 21:49:18] (step=0037700) Train Loss: 0.5648, Train Steps/Sec: 1.27
435
+ [2025-10-29 21:50:37] (step=0037800) Train Loss: 0.5628, Train Steps/Sec: 1.26
436
+ [2025-10-29 21:51:56] (step=0037900) Train Loss: 0.5638, Train Steps/Sec: 1.27
437
+ [2025-10-29 21:53:14] (step=0038000) Train Loss: 0.5648, Train Steps/Sec: 1.27
438
+ [2025-10-29 21:54:33] (step=0038100) Train Loss: 0.5648, Train Steps/Sec: 1.27
439
+ [2025-10-29 21:55:51] (step=0038200) Train Loss: 0.5647, Train Steps/Sec: 1.27
440
+ [2025-10-29 21:57:10] (step=0038300) Train Loss: 0.5643, Train Steps/Sec: 1.27
441
+ [2025-10-29 21:58:29] (step=0038400) Train Loss: 0.5638, Train Steps/Sec: 1.27
442
+ [2025-10-29 21:59:47] (step=0038500) Train Loss: 0.5635, Train Steps/Sec: 1.27
443
+ [2025-10-29 22:01:06] (step=0038600) Train Loss: 0.5629, Train Steps/Sec: 1.27
444
+ [2025-10-29 22:02:24] (step=0038700) Train Loss: 0.5638, Train Steps/Sec: 1.27
445
+ [2025-10-29 22:03:28] Beginning epoch 31...
446
+ [2025-10-29 22:03:45] (step=0038800) Train Loss: 0.5626, Train Steps/Sec: 1.23
447
+ [2025-10-29 22:05:04] (step=0038900) Train Loss: 0.5634, Train Steps/Sec: 1.27
448
+ [2025-10-29 22:06:22] (step=0039000) Train Loss: 0.5640, Train Steps/Sec: 1.27
449
+ [2025-10-29 22:07:41] (step=0039100) Train Loss: 0.5624, Train Steps/Sec: 1.27
450
+ [2025-10-29 22:08:59] (step=0039200) Train Loss: 0.5638, Train Steps/Sec: 1.27
451
+ [2025-10-29 22:10:18] (step=0039300) Train Loss: 0.5631, Train Steps/Sec: 1.27
452
+ [2025-10-29 22:11:37] (step=0039400) Train Loss: 0.5616, Train Steps/Sec: 1.26
453
+ [2025-10-29 22:12:56] (step=0039500) Train Loss: 0.5623, Train Steps/Sec: 1.27
454
+ [2025-10-29 22:14:14] (step=0039600) Train Loss: 0.5631, Train Steps/Sec: 1.27
455
+ [2025-10-29 22:15:33] (step=0039700) Train Loss: 0.5633, Train Steps/Sec: 1.27
456
+ [2025-10-29 22:16:52] (step=0039800) Train Loss: 0.5619, Train Steps/Sec: 1.27
457
+ [2025-10-29 22:18:10] (step=0039900) Train Loss: 0.5627, Train Steps/Sec: 1.27
458
+ [2025-10-29 22:19:29] (step=0040000) Train Loss: 0.5614, Train Steps/Sec: 1.27
459
+ [2025-10-29 22:19:54] Beginning epoch 32...
460
+ [2025-10-29 22:20:50] (step=0040100) Train Loss: 0.5611, Train Steps/Sec: 1.23
461
+ [2025-10-29 22:22:08] (step=0040200) Train Loss: 0.5612, Train Steps/Sec: 1.27
462
+ [2025-10-29 22:23:27] (step=0040300) Train Loss: 0.5601, Train Steps/Sec: 1.27
463
+ [2025-10-29 22:24:45] (step=0040400) Train Loss: 0.5613, Train Steps/Sec: 1.27
464
+ [2025-10-29 22:26:04] (step=0040500) Train Loss: 0.5617, Train Steps/Sec: 1.27
465
+ [2025-10-29 22:27:23] (step=0040600) Train Loss: 0.5616, Train Steps/Sec: 1.27
466
+ [2025-10-29 22:28:41] (step=0040700) Train Loss: 0.5624, Train Steps/Sec: 1.27
467
+ [2025-10-29 22:30:00] (step=0040800) Train Loss: 0.5605, Train Steps/Sec: 1.27
468
+ [2025-10-29 22:31:18] (step=0040900) Train Loss: 0.5616, Train Steps/Sec: 1.27
469
+ [2025-10-29 22:32:37] (step=0041000) Train Loss: 0.5616, Train Steps/Sec: 1.27
470
+ [2025-10-29 22:33:56] (step=0041100) Train Loss: 0.5604, Train Steps/Sec: 1.26
471
+ [2025-10-29 22:35:15] (step=0041200) Train Loss: 0.5624, Train Steps/Sec: 1.27
472
+ [2025-10-29 22:36:20] Beginning epoch 33...
473
+ [2025-10-29 22:36:36] (step=0041300) Train Loss: 0.5611, Train Steps/Sec: 1.23
474
+ [2025-10-29 22:37:54] (step=0041400) Train Loss: 0.5602, Train Steps/Sec: 1.27
475
+ [2025-10-29 22:39:13] (step=0041500) Train Loss: 0.5621, Train Steps/Sec: 1.27
476
+ [2025-10-29 22:40:32] (step=0041600) Train Loss: 0.5604, Train Steps/Sec: 1.27
477
+ [2025-10-29 22:41:50] (step=0041700) Train Loss: 0.5620, Train Steps/Sec: 1.27
478
+ [2025-10-29 22:43:09] (step=0041800) Train Loss: 0.5616, Train Steps/Sec: 1.27
479
+ [2025-10-29 22:44:27] (step=0041900) Train Loss: 0.5609, Train Steps/Sec: 1.27
480
+ [2025-10-29 22:45:46] (step=0042000) Train Loss: 0.5607, Train Steps/Sec: 1.27
481
+ [2025-10-29 22:47:04] (step=0042100) Train Loss: 0.5609, Train Steps/Sec: 1.27
482
+ [2025-10-29 22:48:23] (step=0042200) Train Loss: 0.5617, Train Steps/Sec: 1.27
483
+ [2025-10-29 22:49:41] (step=0042300) Train Loss: 0.5609, Train Steps/Sec: 1.27
484
+ [2025-10-29 22:51:00] (step=0042400) Train Loss: 0.5610, Train Steps/Sec: 1.27
485
+ [2025-10-29 22:52:19] (step=0042500) Train Loss: 0.5621, Train Steps/Sec: 1.27
486
+ [2025-10-29 22:52:46] Beginning epoch 34...
487
+ [2025-10-29 22:53:40] (step=0042600) Train Loss: 0.5610, Train Steps/Sec: 1.23
488
+ [2025-10-29 22:54:58] (step=0042700) Train Loss: 0.5593, Train Steps/Sec: 1.27
489
+ [2025-10-29 22:56:18] (step=0042800) Train Loss: 0.5603, Train Steps/Sec: 1.26
490
+ [2025-10-29 22:57:36] (step=0042900) Train Loss: 0.5606, Train Steps/Sec: 1.27
491
+ [2025-10-29 22:58:55] (step=0043000) Train Loss: 0.5601, Train Steps/Sec: 1.27
492
+ [2025-10-29 23:00:13] (step=0043100) Train Loss: 0.5600, Train Steps/Sec: 1.27
493
+ [2025-10-29 23:01:32] (step=0043200) Train Loss: 0.5606, Train Steps/Sec: 1.27
494
+ [2025-10-29 23:02:51] (step=0043300) Train Loss: 0.5602, Train Steps/Sec: 1.27
495
+ [2025-10-29 23:04:09] (step=0043400) Train Loss: 0.5611, Train Steps/Sec: 1.27
496
+ [2025-10-29 23:05:28] (step=0043500) Train Loss: 0.5614, Train Steps/Sec: 1.27
497
+ [2025-10-29 23:06:46] (step=0043600) Train Loss: 0.5601, Train Steps/Sec: 1.27
498
+ [2025-10-29 23:08:05] (step=0043700) Train Loss: 0.5592, Train Steps/Sec: 1.27
499
+ [2025-10-29 23:09:12] Beginning epoch 35...
500
+ [2025-10-29 23:09:26] (step=0043800) Train Loss: 0.5602, Train Steps/Sec: 1.23
501
+ [2025-10-29 23:10:45] (step=0043900) Train Loss: 0.5592, Train Steps/Sec: 1.27
502
+ [2025-10-29 23:12:03] (step=0044000) Train Loss: 0.5596, Train Steps/Sec: 1.27
503
+ [2025-10-29 23:13:22] (step=0044100) Train Loss: 0.5598, Train Steps/Sec: 1.27
504
+ [2025-10-29 23:14:40] (step=0044200) Train Loss: 0.5607, Train Steps/Sec: 1.27
505
+ [2025-10-29 23:15:59] (step=0044300) Train Loss: 0.5595, Train Steps/Sec: 1.27
506
+ [2025-10-29 23:17:17] (step=0044400) Train Loss: 0.5590, Train Steps/Sec: 1.27
507
+ [2025-10-29 23:18:37] (step=0044500) Train Loss: 0.5598, Train Steps/Sec: 1.26
508
+ [2025-10-29 23:19:55] (step=0044600) Train Loss: 0.5575, Train Steps/Sec: 1.27
509
+ [2025-10-29 23:21:14] (step=0044700) Train Loss: 0.5601, Train Steps/Sec: 1.27
510
+ [2025-10-29 23:22:33] (step=0044800) Train Loss: 0.5618, Train Steps/Sec: 1.27
511
+ [2025-10-29 23:23:51] (step=0044900) Train Loss: 0.5593, Train Steps/Sec: 1.27
512
+ [2025-10-29 23:25:10] (step=0045000) Train Loss: 0.5609, Train Steps/Sec: 1.27
513
+ [2025-10-29 23:25:38] Beginning epoch 36...
514
+ [2025-10-29 23:26:31] (step=0045100) Train Loss: 0.5593, Train Steps/Sec: 1.23
515
+ [2025-10-29 23:27:49] (step=0045200) Train Loss: 0.5578, Train Steps/Sec: 1.27
516
+ [2025-10-29 23:29:08] (step=0045300) Train Loss: 0.5587, Train Steps/Sec: 1.27
517
+ [2025-10-29 23:30:27] (step=0045400) Train Loss: 0.5585, Train Steps/Sec: 1.27
518
+ [2025-10-29 23:31:45] (step=0045500) Train Loss: 0.5586, Train Steps/Sec: 1.27
519
+ [2025-10-29 23:33:04] (step=0045600) Train Loss: 0.5587, Train Steps/Sec: 1.27
520
+ [2025-10-29 23:34:22] (step=0045700) Train Loss: 0.5599, Train Steps/Sec: 1.27
521
+ [2025-10-29 23:35:41] (step=0045800) Train Loss: 0.5591, Train Steps/Sec: 1.27
522
+ [2025-10-29 23:36:59] (step=0045900) Train Loss: 0.5579, Train Steps/Sec: 1.27
523
+ [2025-10-29 23:38:18] (step=0046000) Train Loss: 0.5576, Train Steps/Sec: 1.27
524
+ [2025-10-29 23:39:37] (step=0046100) Train Loss: 0.5586, Train Steps/Sec: 1.26
525
+ [2025-10-29 23:40:56] (step=0046200) Train Loss: 0.5579, Train Steps/Sec: 1.26
526
+ [2025-10-29 23:42:05] Beginning epoch 37...
527
+ [2025-10-29 23:42:18] (step=0046300) Train Loss: 0.5582, Train Steps/Sec: 1.23
528
+ [2025-10-29 23:43:36] (step=0046400) Train Loss: 0.5580, Train Steps/Sec: 1.27
529
+ [2025-10-29 23:44:55] (step=0046500) Train Loss: 0.5573, Train Steps/Sec: 1.27
530
+ [2025-10-29 23:46:13] (step=0046600) Train Loss: 0.5577, Train Steps/Sec: 1.27
531
+ [2025-10-29 23:47:32] (step=0046700) Train Loss: 0.5577, Train Steps/Sec: 1.27
532
+ [2025-10-29 23:48:51] (step=0046800) Train Loss: 0.5576, Train Steps/Sec: 1.27
533
+ [2025-10-29 23:50:09] (step=0046900) Train Loss: 0.5568, Train Steps/Sec: 1.27
534
+ [2025-10-29 23:51:28] (step=0047000) Train Loss: 0.5571, Train Steps/Sec: 1.27
535
+ [2025-10-29 23:52:46] (step=0047100) Train Loss: 0.5577, Train Steps/Sec: 1.27
536
+ [2025-10-29 23:54:05] (step=0047200) Train Loss: 0.5573, Train Steps/Sec: 1.27
537
+ [2025-10-29 23:55:23] (step=0047300) Train Loss: 0.5589, Train Steps/Sec: 1.27
538
+ [2025-10-29 23:56:42] (step=0047400) Train Loss: 0.5582, Train Steps/Sec: 1.27
539
+ [2025-10-29 23:58:01] (step=0047500) Train Loss: 0.5589, Train Steps/Sec: 1.27
540
+ [2025-10-29 23:58:31] Beginning epoch 38...
541
+ [2025-10-29 23:59:22] (step=0047600) Train Loss: 0.5562, Train Steps/Sec: 1.23
542
+ [2025-10-30 00:00:41] (step=0047700) Train Loss: 0.5575, Train Steps/Sec: 1.27
543
+ [2025-10-30 00:02:00] (step=0047800) Train Loss: 0.5583, Train Steps/Sec: 1.26
544
+ [2025-10-30 00:03:19] (step=0047900) Train Loss: 0.5586, Train Steps/Sec: 1.27
545
+ [2025-10-30 00:04:37] (step=0048000) Train Loss: 0.5560, Train Steps/Sec: 1.27
546
+ [2025-10-30 00:05:56] (step=0048100) Train Loss: 0.5583, Train Steps/Sec: 1.27
547
+ [2025-10-30 00:07:15] (step=0048200) Train Loss: 0.5574, Train Steps/Sec: 1.27
548
+ [2025-10-30 00:08:33] (step=0048300) Train Loss: 0.5575, Train Steps/Sec: 1.27
549
+ [2025-10-30 00:09:52] (step=0048400) Train Loss: 0.5569, Train Steps/Sec: 1.27
550
+ [2025-10-30 00:11:10] (step=0048500) Train Loss: 0.5589, Train Steps/Sec: 1.27
551
+ [2025-10-30 00:12:29] (step=0048600) Train Loss: 0.5562, Train Steps/Sec: 1.27
552
+ [2025-10-30 00:13:48] (step=0048700) Train Loss: 0.5557, Train Steps/Sec: 1.27
553
+ [2025-10-30 00:14:58] Beginning epoch 39...
554
+ [2025-10-30 00:15:09] (step=0048800) Train Loss: 0.5565, Train Steps/Sec: 1.23
555
+ [2025-10-30 00:16:28] (step=0048900) Train Loss: 0.5553, Train Steps/Sec: 1.27
556
+ [2025-10-30 00:17:46] (step=0049000) Train Loss: 0.5556, Train Steps/Sec: 1.27
557
+ [2025-10-30 00:19:05] (step=0049100) Train Loss: 0.5564, Train Steps/Sec: 1.27
558
+ [2025-10-30 00:20:23] (step=0049200) Train Loss: 0.5570, Train Steps/Sec: 1.27
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+ [2025-10-30 00:21:42] (step=0049300) Train Loss: 0.5565, Train Steps/Sec: 1.27
560
+ [2025-10-30 00:23:01] (step=0049400) Train Loss: 0.5540, Train Steps/Sec: 1.27
561
+ [2025-10-30 00:24:20] (step=0049500) Train Loss: 0.5555, Train Steps/Sec: 1.26
562
+ [2025-10-30 00:25:39] (step=0049600) Train Loss: 0.5554, Train Steps/Sec: 1.27
563
+ [2025-10-30 00:26:57] (step=0049700) Train Loss: 0.5553, Train Steps/Sec: 1.27
564
+ [2025-10-30 00:28:16] (step=0049800) Train Loss: 0.5569, Train Steps/Sec: 1.27
565
+ [2025-10-30 00:29:34] (step=0049900) Train Loss: 0.5559, Train Steps/Sec: 1.27
566
+ [2025-10-30 00:30:53] (step=0050000) Train Loss: 0.5557, Train Steps/Sec: 1.27
567
+ [2025-10-30 00:31:54] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-dinov2-vit-s-spnorm-bf16/checkpoints/0050000.pt
568
+ [2025-10-30 00:31:54] Generating EMA samples...
569
+ [2025-10-30 00:32:22] Generating EMA samples done.
570
+ [2025-10-30 00:32:54] Beginning epoch 40...
571
+ [2025-10-30 00:33:43] (step=0050100) Train Loss: 0.5554, Train Steps/Sec: 0.59
572
+ [2025-10-30 00:35:02] (step=0050200) Train Loss: 0.5542, Train Steps/Sec: 1.27
573
+ [2025-10-30 00:36:20] (step=0050300) Train Loss: 0.5547, Train Steps/Sec: 1.27
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+ [2025-10-30 00:37:39] (step=0050400) Train Loss: 0.5555, Train Steps/Sec: 1.27
575
+ [2025-10-30 00:38:58] (step=0050500) Train Loss: 0.5542, Train Steps/Sec: 1.27
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+ [2025-10-30 00:40:16] (step=0050600) Train Loss: 0.5550, Train Steps/Sec: 1.27
577
+ [2025-10-30 00:41:35] (step=0050700) Train Loss: 0.5563, Train Steps/Sec: 1.27
578
+ [2025-10-30 00:42:53] (step=0050800) Train Loss: 0.5549, Train Steps/Sec: 1.27
579
+ [2025-10-30 00:44:12] (step=0050900) Train Loss: 0.5554, Train Steps/Sec: 1.27
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+ [2025-10-30 00:45:30] (step=0051000) Train Loss: 0.5565, Train Steps/Sec: 1.27
581
+ [2025-10-30 00:46:49] (step=0051100) Train Loss: 0.5551, Train Steps/Sec: 1.27
582
+ [2025-10-30 00:48:08] (step=0051200) Train Loss: 0.5549, Train Steps/Sec: 1.27
583
+ [2025-10-30 00:49:20] Beginning epoch 41...
584
+ [2025-10-30 00:49:30] (step=0051300) Train Loss: 0.5543, Train Steps/Sec: 1.23
585
+ [2025-10-30 00:50:48] (step=0051400) Train Loss: 0.5545, Train Steps/Sec: 1.27
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+ [2025-10-30 00:52:07] (step=0051500) Train Loss: 0.5550, Train Steps/Sec: 1.27
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+ [2025-10-30 00:53:26] (step=0051600) Train Loss: 0.5536, Train Steps/Sec: 1.27
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+ [2025-10-30 00:54:44] (step=0051700) Train Loss: 0.5542, Train Steps/Sec: 1.27
589
+ [2025-10-30 00:56:03] (step=0051800) Train Loss: 0.5543, Train Steps/Sec: 1.27
590
+ [2025-10-30 00:57:21] (step=0051900) Train Loss: 0.5536, Train Steps/Sec: 1.27
591
+ [2025-10-30 00:58:40] (step=0052000) Train Loss: 0.5537, Train Steps/Sec: 1.27
592
+ [2025-10-30 00:59:59] (step=0052100) Train Loss: 0.5524, Train Steps/Sec: 1.27
593
+ [2025-10-30 01:01:17] (step=0052200) Train Loss: 0.5534, Train Steps/Sec: 1.27
594
+ [2025-10-30 01:02:36] (step=0052300) Train Loss: 0.5524, Train Steps/Sec: 1.27
595
+ [2025-10-30 01:03:54] (step=0052400) Train Loss: 0.5544, Train Steps/Sec: 1.27
596
+ [2025-10-30 01:05:13] (step=0052500) Train Loss: 0.5549, Train Steps/Sec: 1.27
597
+ [2025-10-30 01:05:46] Beginning epoch 42...
598
+ [2025-10-30 01:06:34] (step=0052600) Train Loss: 0.5545, Train Steps/Sec: 1.23
599
+ [2025-10-30 01:07:53] (step=0052700) Train Loss: 0.5526, Train Steps/Sec: 1.27
600
+ [2025-10-30 01:09:12] (step=0052800) Train Loss: 0.5530, Train Steps/Sec: 1.26
601
+ [2025-10-30 01:10:31] (step=0052900) Train Loss: 0.5539, Train Steps/Sec: 1.27
602
+ [2025-10-30 01:11:50] (step=0053000) Train Loss: 0.5540, Train Steps/Sec: 1.27
603
+ [2025-10-30 01:13:08] (step=0053100) Train Loss: 0.5537, Train Steps/Sec: 1.27
604
+ [2025-10-30 01:14:27] (step=0053200) Train Loss: 0.5532, Train Steps/Sec: 1.27
605
+ [2025-10-30 01:15:46] (step=0053300) Train Loss: 0.5539, Train Steps/Sec: 1.27
606
+ [2025-10-30 01:17:04] (step=0053400) Train Loss: 0.5526, Train Steps/Sec: 1.27
607
+ [2025-10-30 01:18:23] (step=0053500) Train Loss: 0.5530, Train Steps/Sec: 1.27
608
+ [2025-10-30 01:19:41] (step=0053600) Train Loss: 0.5539, Train Steps/Sec: 1.27
609
+ [2025-10-30 01:21:00] (step=0053700) Train Loss: 0.5523, Train Steps/Sec: 1.27
610
+ [2025-10-30 01:22:13] Beginning epoch 43...
611
+ [2025-10-30 01:22:21] (step=0053800) Train Loss: 0.5538, Train Steps/Sec: 1.23
612
+ [2025-10-30 01:23:40] (step=0053900) Train Loss: 0.5535, Train Steps/Sec: 1.27
613
+ [2025-10-30 01:24:58] (step=0054000) Train Loss: 0.5528, Train Steps/Sec: 1.27
614
+ [2025-10-30 01:26:17] (step=0054100) Train Loss: 0.5527, Train Steps/Sec: 1.27
615
+ [2025-10-30 01:27:36] (step=0054200) Train Loss: 0.5513, Train Steps/Sec: 1.27
616
+ [2025-10-30 01:28:54] (step=0054300) Train Loss: 0.5520, Train Steps/Sec: 1.27
617
+ [2025-10-30 01:30:13] (step=0054400) Train Loss: 0.5527, Train Steps/Sec: 1.27
618
+ [2025-10-30 01:31:32] (step=0054500) Train Loss: 0.5535, Train Steps/Sec: 1.26
619
+ [2025-10-30 01:32:51] (step=0054600) Train Loss: 0.5529, Train Steps/Sec: 1.27
620
+ [2025-10-30 01:34:10] (step=0054700) Train Loss: 0.5508, Train Steps/Sec: 1.27
621
+ [2025-10-30 01:35:28] (step=0054800) Train Loss: 0.5533, Train Steps/Sec: 1.27
622
+ [2025-10-30 01:36:47] (step=0054900) Train Loss: 0.5522, Train Steps/Sec: 1.27
623
+ [2025-10-30 01:38:05] (step=0055000) Train Loss: 0.5530, Train Steps/Sec: 1.27
624
+ [2025-10-30 01:38:40] Beginning epoch 44...
625
+ [2025-10-30 01:39:27] (step=0055100) Train Loss: 0.5534, Train Steps/Sec: 1.23
626
+ [2025-10-30 01:40:45] (step=0055200) Train Loss: 0.5533, Train Steps/Sec: 1.27
627
+ [2025-10-30 01:42:04] (step=0055300) Train Loss: 0.5523, Train Steps/Sec: 1.27
628
+ [2025-10-30 01:43:22] (step=0055400) Train Loss: 0.5528, Train Steps/Sec: 1.27
629
+ [2025-10-30 01:44:41] (step=0055500) Train Loss: 0.5511, Train Steps/Sec: 1.27
630
+ [2025-10-30 01:46:00] (step=0055600) Train Loss: 0.5527, Train Steps/Sec: 1.27
631
+ [2025-10-30 01:47:18] (step=0055700) Train Loss: 0.5527, Train Steps/Sec: 1.27
632
+ [2025-10-30 01:48:37] (step=0055800) Train Loss: 0.5528, Train Steps/Sec: 1.27
633
+ [2025-10-30 01:49:55] (step=0055900) Train Loss: 0.5517, Train Steps/Sec: 1.27
634
+ [2025-10-30 01:51:14] (step=0056000) Train Loss: 0.5541, Train Steps/Sec: 1.27
635
+ [2025-10-30 01:52:33] (step=0056100) Train Loss: 0.5516, Train Steps/Sec: 1.27
636
+ [2025-10-30 01:53:52] (step=0056200) Train Loss: 0.5554, Train Steps/Sec: 1.26
637
+ [2025-10-30 01:55:07] Beginning epoch 45...
638
+ [2025-10-30 01:55:14] (step=0056300) Train Loss: 0.5581, Train Steps/Sec: 1.23
639
+ [2025-10-30 01:56:32] (step=0056400) Train Loss: 0.5602, Train Steps/Sec: 1.27
640
+ [2025-10-30 01:57:51] (step=0056500) Train Loss: 0.5575, Train Steps/Sec: 1.27
641
+ [2025-10-30 01:59:09] (step=0056600) Train Loss: 0.5592, Train Steps/Sec: 1.27
642
+ [2025-10-30 02:00:28] (step=0056700) Train Loss: 0.5689, Train Steps/Sec: 1.27
643
+ [2025-10-30 02:01:46] (step=0056800) Train Loss: 1.4227, Train Steps/Sec: 1.27
644
+ [2025-10-30 02:03:05] (step=0056900) Train Loss: 2.0115, Train Steps/Sec: 1.27
645
+ [2025-10-30 02:04:24] (step=0057000) Train Loss: 1.9414, Train Steps/Sec: 1.27
646
+ [2025-10-30 02:05:42] (step=0057100) Train Loss: 1.6740, Train Steps/Sec: 1.27
647
+ [2025-10-30 02:07:01] (step=0057200) Train Loss: 1.6082, Train Steps/Sec: 1.27
648
+ [2025-10-30 02:08:19] (step=0057300) Train Loss: 1.3177, Train Steps/Sec: 1.27
649
+ [2025-10-30 02:09:38] (step=0057400) Train Loss: 0.7391, Train Steps/Sec: 1.27
650
+ [2025-10-30 02:10:56] (step=0057500) Train Loss: 0.6675, Train Steps/Sec: 1.27
651
+ [2025-10-30 02:11:33] Beginning epoch 46...
652
+ [2025-10-30 02:12:18] (step=0057600) Train Loss: 0.6626, Train Steps/Sec: 1.22
653
+ [2025-10-30 02:13:37] (step=0057700) Train Loss: 0.6753, Train Steps/Sec: 1.27
654
+ [2025-10-30 02:14:56] (step=0057800) Train Loss: 0.6694, Train Steps/Sec: 1.27
655
+ [2025-10-30 02:16:14] (step=0057900) Train Loss: 0.6624, Train Steps/Sec: 1.27
656
+ [2025-10-30 02:17:33] (step=0058000) Train Loss: 0.6798, Train Steps/Sec: 1.27
657
+ [2025-10-30 02:18:51] (step=0058100) Train Loss: 0.6752, Train Steps/Sec: 1.27
658
+ [2025-10-30 02:20:10] (step=0058200) Train Loss: 0.7096, Train Steps/Sec: 1.27
659
+ [2025-10-30 02:21:28] (step=0058300) Train Loss: 0.7234, Train Steps/Sec: 1.27
660
+ [2025-10-30 02:22:47] (step=0058400) Train Loss: 0.7318, Train Steps/Sec: 1.27
661
+ [2025-10-30 02:24:05] (step=0058500) Train Loss: 0.7374, Train Steps/Sec: 1.27
662
+ [2025-10-30 02:25:24] (step=0058600) Train Loss: 0.6907, Train Steps/Sec: 1.27
663
+ [2025-10-30 02:26:42] (step=0058700) Train Loss: 0.6444, Train Steps/Sec: 1.27
664
+ [2025-10-30 02:27:59] Beginning epoch 47...
665
+ [2025-10-30 02:28:04] (step=0058800) Train Loss: 0.6353, Train Steps/Sec: 1.23
666
+ [2025-10-30 02:29:22] (step=0058900) Train Loss: 0.6586, Train Steps/Sec: 1.28
667
+ [2025-10-30 02:30:41] (step=0059000) Train Loss: 0.6600, Train Steps/Sec: 1.27