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+ [2025-10-28 00:54:35] Experiment directory created at results/stage2/hfdata/lightningdit-xl-webssl-vit-dino1b-bf16
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+ [2025-10-28 00:56:02] Model Parameters: 1204.40M
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+ [2025-10-28 00:56:07] Dataset contains 1,281,167 images (/scratch/xingjian.leng/data/webssl-vit-dino1b_hfdataset_precentercrop_True_train_bfloat16)
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+ [2025-10-28 00:56:07] Gradient accumulation: steps=1, micro batch=128, per-GPU batch=128, global batch=1024
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+ [2025-10-28 00:56:07] Precision mode: bf16
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+ [2025-10-28 00:56:07] Training configured for 80 epochs, 1251 steps per epoch.
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+ [2025-10-28 00:56:07] 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 00:56:07] Training for 80 epochs...
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+ [2025-10-28 00:56:07] Beginning epoch 0...
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+ [2025-10-28 00:56:16] Generating EMA samples...
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+ [2025-10-28 00:56:47] Generating EMA samples done.
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+ [2025-10-28 00:58:14] (step=0000100) Train Loss: 1.8650, Train Steps/Sec: 0.79
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+ [2025-10-28 00:59:41] (step=0000200) Train Loss: 1.4332, Train Steps/Sec: 1.14
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+ [2025-10-28 01:01:09] (step=0000300) Train Loss: 1.2704, Train Steps/Sec: 1.14
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+ [2025-10-28 01:02:37] (step=0000400) Train Loss: 1.1701, Train Steps/Sec: 1.14
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+ [2025-10-28 01:04:04] (step=0000500) Train Loss: 1.1017, Train Steps/Sec: 1.14
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+ [2025-10-28 01:05:32] (step=0000600) Train Loss: 1.0542, Train Steps/Sec: 1.14
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+ [2025-10-28 01:06:59] (step=0000700) Train Loss: 1.0167, Train Steps/Sec: 1.14
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+ [2025-10-28 01:08:27] (step=0000800) Train Loss: 0.9857, Train Steps/Sec: 1.14
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+ [2025-10-28 01:09:54] (step=0000900) Train Loss: 0.9628, Train Steps/Sec: 1.14
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+ [2025-10-28 01:11:22] (step=0001000) Train Loss: 0.9433, Train Steps/Sec: 1.14
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+ [2025-10-28 01:12:50] (step=0001100) Train Loss: 0.9262, Train Steps/Sec: 1.14
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+ [2025-10-28 01:14:17] (step=0001200) Train Loss: 0.9127, Train Steps/Sec: 1.14
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+ [2025-10-28 01:15:02] Beginning epoch 1...
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+ [2025-10-28 01:15:49] (step=0001300) Train Loss: 0.8995, Train Steps/Sec: 1.09
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+ [2025-10-28 01:17:16] (step=0001400) Train Loss: 0.8878, Train Steps/Sec: 1.14
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+ [2025-10-28 01:18:44] (step=0001500) Train Loss: 0.8767, Train Steps/Sec: 1.14
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+ [2025-10-28 01:20:11] (step=0001600) Train Loss: 0.8681, Train Steps/Sec: 1.14
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+ [2025-10-28 01:21:39] (step=0001700) Train Loss: 0.8616, Train Steps/Sec: 1.14
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+ [2025-10-28 01:23:07] (step=0001800) Train Loss: 0.8519, Train Steps/Sec: 1.14
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+ [2025-10-28 01:24:34] (step=0001900) Train Loss: 0.8458, Train Steps/Sec: 1.14
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+ [2025-10-28 01:26:02] (step=0002000) Train Loss: 0.8396, Train Steps/Sec: 1.14
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+ [2025-10-28 01:27:29] (step=0002100) Train Loss: 0.8349, Train Steps/Sec: 1.14
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+ [2025-10-28 01:28:57] (step=0002200) Train Loss: 0.8286, Train Steps/Sec: 1.14
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+ [2025-10-28 01:30:24] (step=0002300) Train Loss: 0.8241, Train Steps/Sec: 1.14
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+ [2025-10-28 01:31:52] (step=0002400) Train Loss: 0.8183, Train Steps/Sec: 1.14
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+ [2025-10-28 01:33:20] (step=0002500) Train Loss: 0.8138, Train Steps/Sec: 1.14
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+ [2025-10-28 01:33:22] Beginning epoch 2...
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+ [2025-10-28 01:34:51] (step=0002600) Train Loss: 0.8101, Train Steps/Sec: 1.10
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+ [2025-10-28 01:36:19] (step=0002700) Train Loss: 0.8047, Train Steps/Sec: 1.14
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+ [2025-10-28 01:37:46] (step=0002800) Train Loss: 0.8011, Train Steps/Sec: 1.14
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+ [2025-10-28 01:39:14] (step=0002900) Train Loss: 0.7983, Train Steps/Sec: 1.14
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+ [2025-10-28 01:40:41] (step=0003000) Train Loss: 0.7951, Train Steps/Sec: 1.14
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+ [2025-10-28 01:42:09] (step=0003100) Train Loss: 0.7912, Train Steps/Sec: 1.14
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+ [2025-10-28 01:43:36] (step=0003200) Train Loss: 0.7895, Train Steps/Sec: 1.14
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+ [2025-10-28 01:45:04] (step=0003300) Train Loss: 0.7854, Train Steps/Sec: 1.14
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+ [2025-10-28 01:46:31] (step=0003400) Train Loss: 0.7838, Train Steps/Sec: 1.14
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+ [2025-10-28 01:47:59] (step=0003500) Train Loss: 0.7801, Train Steps/Sec: 1.14
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+ [2025-10-28 01:49:27] (step=0003600) Train Loss: 0.7766, Train Steps/Sec: 1.14
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+ [2025-10-28 01:50:54] (step=0003700) Train Loss: 0.7751, Train Steps/Sec: 1.14
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+ [2025-10-28 01:51:41] Beginning epoch 3...
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+ [2025-10-28 01:52:26] (step=0003800) Train Loss: 0.7709, Train Steps/Sec: 1.09
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+ [2025-10-28 01:53:54] (step=0003900) Train Loss: 0.7720, Train Steps/Sec: 1.14
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+ [2025-10-28 01:55:22] (step=0004000) Train Loss: 0.7659, Train Steps/Sec: 1.14
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+ [2025-10-28 01:56:49] (step=0004100) Train Loss: 0.7659, Train Steps/Sec: 1.14
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+ [2025-10-28 01:58:17] (step=0004200) Train Loss: 0.7626, Train Steps/Sec: 1.14
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+ [2025-10-28 01:59:44] (step=0004300) Train Loss: 0.7621, Train Steps/Sec: 1.14
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+ [2025-10-28 02:01:12] (step=0004400) Train Loss: 0.7586, Train Steps/Sec: 1.14
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+ [2025-10-28 02:02:40] (step=0004500) Train Loss: 0.7576, Train Steps/Sec: 1.14
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+ [2025-10-28 02:04:07] (step=0004600) Train Loss: 0.7556, Train Steps/Sec: 1.14
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+ [2025-10-28 02:05:35] (step=0004700) Train Loss: 0.7546, Train Steps/Sec: 1.14
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+ [2025-10-28 02:07:02] (step=0004800) Train Loss: 0.7536, Train Steps/Sec: 1.14
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+ [2025-10-28 02:08:30] (step=0004900) Train Loss: 0.7496, Train Steps/Sec: 1.14
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+ [2025-10-28 02:09:57] (step=0005000) Train Loss: 0.7498, Train Steps/Sec: 1.14
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+ [2025-10-28 02:10:02] Beginning epoch 4...
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+ [2025-10-28 02:11:29] (step=0005100) Train Loss: 0.7469, Train Steps/Sec: 1.10
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+ [2025-10-28 02:12:56] (step=0005200) Train Loss: 0.7474, Train Steps/Sec: 1.14
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+ [2025-10-28 02:14:24] (step=0005300) Train Loss: 0.7450, Train Steps/Sec: 1.14
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+ [2025-10-28 02:15:52] (step=0005400) Train Loss: 0.7436, Train Steps/Sec: 1.14
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+ [2025-10-28 02:17:19] (step=0005500) Train Loss: 0.7431, Train Steps/Sec: 1.14
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+ [2025-10-28 02:18:47] (step=0005600) Train Loss: 0.7402, Train Steps/Sec: 1.14
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+ [2025-10-28 02:20:14] (step=0005700) Train Loss: 0.7395, Train Steps/Sec: 1.14
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+ [2025-10-28 02:21:42] (step=0005800) Train Loss: 0.7372, Train Steps/Sec: 1.14
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+ [2025-10-28 02:23:10] (step=0005900) Train Loss: 0.7359, Train Steps/Sec: 1.14
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+ [2025-10-28 02:24:37] (step=0006000) Train Loss: 0.7356, Train Steps/Sec: 1.14
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+ [2025-10-28 02:26:05] (step=0006100) Train Loss: 0.7356, Train Steps/Sec: 1.14
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+ [2025-10-28 02:27:32] (step=0006200) Train Loss: 0.7340, Train Steps/Sec: 1.14
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+ [2025-10-28 02:28:21] Beginning epoch 5...
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+ [2025-10-28 02:29:03] (step=0006300) Train Loss: 0.7323, Train Steps/Sec: 1.10
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+ [2025-10-28 02:30:31] (step=0006400) Train Loss: 0.7316, Train Steps/Sec: 1.14
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+ [2025-10-28 02:31:58] (step=0006500) Train Loss: 0.7307, Train Steps/Sec: 1.14
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+ [2025-10-28 02:33:26] (step=0006600) Train Loss: 0.7289, Train Steps/Sec: 1.14
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+ [2025-10-28 02:34:54] (step=0006700) Train Loss: 0.7281, Train Steps/Sec: 1.14
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+ [2025-10-28 02:36:21] (step=0006800) Train Loss: 0.7273, Train Steps/Sec: 1.14
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+ [2025-10-28 02:37:49] (step=0006900) Train Loss: 0.7287, Train Steps/Sec: 1.14
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+ [2025-10-28 02:39:17] (step=0007000) Train Loss: 0.7247, Train Steps/Sec: 1.14
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+ [2025-10-28 02:40:44] (step=0007100) Train Loss: 0.7239, Train Steps/Sec: 1.14
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+ [2025-10-28 02:42:12] (step=0007200) Train Loss: 0.7247, Train Steps/Sec: 1.14
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+ [2025-10-28 02:43:39] (step=0007300) Train Loss: 0.7229, Train Steps/Sec: 1.14
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+ [2025-10-28 02:45:07] (step=0007400) Train Loss: 0.7230, Train Steps/Sec: 1.14
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+ [2025-10-28 02:46:34] (step=0007500) Train Loss: 0.7208, Train Steps/Sec: 1.14
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+ [2025-10-28 02:46:40] Beginning epoch 6...
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+ [2025-10-28 02:48:06] (step=0007600) Train Loss: 0.7198, Train Steps/Sec: 1.10
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+ [2025-10-28 02:49:33] (step=0007700) Train Loss: 0.7192, Train Steps/Sec: 1.14
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+ [2025-10-28 02:51:01] (step=0007800) Train Loss: 0.7179, Train Steps/Sec: 1.14
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+ [2025-10-28 02:52:29] (step=0007900) Train Loss: 0.7182, Train Steps/Sec: 1.14
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+ [2025-10-28 02:53:56] (step=0008000) Train Loss: 0.7179, Train Steps/Sec: 1.14
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+ [2025-10-28 02:55:24] (step=0008100) Train Loss: 0.7180, Train Steps/Sec: 1.14
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+ [2025-10-28 02:56:51] (step=0008200) Train Loss: 0.7156, Train Steps/Sec: 1.14
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+ [2025-10-28 02:58:19] (step=0008300) Train Loss: 0.7146, Train Steps/Sec: 1.14
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+ [2025-10-28 02:59:46] (step=0008400) Train Loss: 0.7139, Train Steps/Sec: 1.14
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+ [2025-10-28 03:01:14] (step=0008500) Train Loss: 0.7128, Train Steps/Sec: 1.14
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+ [2025-10-28 03:02:42] (step=0008600) Train Loss: 0.7124, Train Steps/Sec: 1.14
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+ [2025-10-28 03:04:10] (step=0008700) Train Loss: 0.7123, Train Steps/Sec: 1.14
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+ [2025-10-28 03:05:00] Beginning epoch 7...
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+ [2025-10-28 03:05:40] (step=0008800) Train Loss: 0.7116, Train Steps/Sec: 1.10
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+ [2025-10-28 03:07:08] (step=0008900) Train Loss: 0.7107, Train Steps/Sec: 1.14
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+ [2025-10-28 03:08:36] (step=0009000) Train Loss: 0.7097, Train Steps/Sec: 1.14
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+ [2025-10-28 03:10:03] (step=0009100) Train Loss: 0.7108, Train Steps/Sec: 1.14
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+ [2025-10-28 03:11:31] (step=0009200) Train Loss: 0.7091, Train Steps/Sec: 1.14
112
+ [2025-10-28 03:12:58] (step=0009300) Train Loss: 0.7086, Train Steps/Sec: 1.14
113
+ [2025-10-28 03:14:26] (step=0009400) Train Loss: 0.7088, Train Steps/Sec: 1.14
114
+ [2025-10-28 03:15:53] (step=0009500) Train Loss: 0.7064, Train Steps/Sec: 1.14
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+ [2025-10-28 03:17:21] (step=0009600) Train Loss: 0.7071, Train Steps/Sec: 1.14
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+ [2025-10-28 03:18:49] (step=0009700) Train Loss: 0.7076, Train Steps/Sec: 1.14
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+ [2025-10-28 03:20:16] (step=0009800) Train Loss: 0.7076, Train Steps/Sec: 1.14
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+ [2025-10-28 03:21:44] (step=0009900) Train Loss: 0.7046, Train Steps/Sec: 1.14
119
+ [2025-10-28 03:23:11] (step=0010000) Train Loss: 0.7029, Train Steps/Sec: 1.14
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+ [2025-10-28 03:23:19] Beginning epoch 8...
121
+ [2025-10-28 03:24:42] (step=0010100) Train Loss: 0.7039, Train Steps/Sec: 1.10
122
+ [2025-10-28 03:26:10] (step=0010200) Train Loss: 0.7030, Train Steps/Sec: 1.14
123
+ [2025-10-28 03:27:38] (step=0010300) Train Loss: 0.7047, Train Steps/Sec: 1.14
124
+ [2025-10-28 03:29:06] (step=0010400) Train Loss: 0.7037, Train Steps/Sec: 1.13
125
+ [2025-10-28 03:30:33] (step=0010500) Train Loss: 0.7026, Train Steps/Sec: 1.14
126
+ [2025-10-28 03:32:01] (step=0010600) Train Loss: 0.7029, Train Steps/Sec: 1.14
127
+ [2025-10-28 03:33:28] (step=0010700) Train Loss: 0.7017, Train Steps/Sec: 1.14
128
+ [2025-10-28 03:34:56] (step=0010800) Train Loss: 0.7000, Train Steps/Sec: 1.14
129
+ [2025-10-28 03:36:23] (step=0010900) Train Loss: 0.7016, Train Steps/Sec: 1.14
130
+ [2025-10-28 03:37:51] (step=0011000) Train Loss: 0.7024, Train Steps/Sec: 1.14
131
+ [2025-10-28 03:39:19] (step=0011100) Train Loss: 0.6992, Train Steps/Sec: 1.14
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+ [2025-10-28 03:40:46] (step=0011200) Train Loss: 0.6994, Train Steps/Sec: 1.14
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+ [2025-10-28 03:41:39] Beginning epoch 9...
134
+ [2025-10-28 03:42:18] (step=0011300) Train Loss: 0.6995, Train Steps/Sec: 1.09
135
+ [2025-10-28 03:43:46] (step=0011400) Train Loss: 0.6988, Train Steps/Sec: 1.14
136
+ [2025-10-28 03:45:13] (step=0011500) Train Loss: 0.6972, Train Steps/Sec: 1.14
137
+ [2025-10-28 03:46:41] (step=0011600) Train Loss: 0.6962, Train Steps/Sec: 1.14
138
+ [2025-10-28 03:48:08] (step=0011700) Train Loss: 0.6992, Train Steps/Sec: 1.14
139
+ [2025-10-28 03:49:36] (step=0011800) Train Loss: 0.6959, Train Steps/Sec: 1.14
140
+ [2025-10-28 03:51:04] (step=0011900) Train Loss: 0.6956, Train Steps/Sec: 1.14
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+ [2025-10-28 03:52:31] (step=0012000) Train Loss: 0.6963, Train Steps/Sec: 1.14
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+ [2025-10-28 03:53:59] (step=0012100) Train Loss: 0.6942, Train Steps/Sec: 1.14
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+ [2025-10-28 03:55:27] (step=0012200) Train Loss: 0.6954, Train Steps/Sec: 1.14
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+ [2025-10-28 03:56:54] (step=0012300) Train Loss: 0.6968, Train Steps/Sec: 1.14
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+ [2025-10-28 03:58:22] (step=0012400) Train Loss: 0.6948, Train Steps/Sec: 1.14
146
+ [2025-10-28 03:59:50] (step=0012500) Train Loss: 0.6942, Train Steps/Sec: 1.14
147
+ [2025-10-28 03:59:59] Beginning epoch 10...
148
+ [2025-10-28 04:01:21] (step=0012600) Train Loss: 0.6930, Train Steps/Sec: 1.10
149
+ [2025-10-28 04:02:48] (step=0012700) Train Loss: 0.6941, Train Steps/Sec: 1.14
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+ [2025-10-28 04:04:16] (step=0012800) Train Loss: 0.6941, Train Steps/Sec: 1.14
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+ [2025-10-28 04:05:44] (step=0012900) Train Loss: 0.6912, Train Steps/Sec: 1.14
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+ [2025-10-28 04:07:12] (step=0013000) Train Loss: 0.6924, Train Steps/Sec: 1.13
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+ [2025-10-28 04:08:39] (step=0013100) Train Loss: 0.6898, Train Steps/Sec: 1.14
154
+ [2025-10-28 04:10:07] (step=0013200) Train Loss: 0.6915, Train Steps/Sec: 1.14
155
+ [2025-10-28 04:11:35] (step=0013300) Train Loss: 0.6908, Train Steps/Sec: 1.14
156
+ [2025-10-28 04:13:02] (step=0013400) Train Loss: 0.6916, Train Steps/Sec: 1.14
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+ [2025-10-28 04:14:30] (step=0013500) Train Loss: 0.6907, Train Steps/Sec: 1.14
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+ [2025-10-28 04:15:58] (step=0013600) Train Loss: 0.6927, Train Steps/Sec: 1.14
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+ [2025-10-28 04:17:25] (step=0013700) Train Loss: 0.6879, Train Steps/Sec: 1.14
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+ [2025-10-28 04:18:19] Beginning epoch 11...
161
+ [2025-10-28 04:18:57] (step=0013800) Train Loss: 0.6904, Train Steps/Sec: 1.09
162
+ [2025-10-28 04:20:25] (step=0013900) Train Loss: 0.6899, Train Steps/Sec: 1.14
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+ [2025-10-28 04:21:52] (step=0014000) Train Loss: 0.6902, Train Steps/Sec: 1.14
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+ [2025-10-28 04:23:20] (step=0014100) Train Loss: 0.6870, Train Steps/Sec: 1.14
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+ [2025-10-28 04:24:48] (step=0014200) Train Loss: 0.6888, Train Steps/Sec: 1.14
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+ [2025-10-28 04:26:15] (step=0014300) Train Loss: 0.6879, Train Steps/Sec: 1.14
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+ [2025-10-28 04:27:43] (step=0014400) Train Loss: 0.6882, Train Steps/Sec: 1.14
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+ [2025-10-28 04:29:10] (step=0014500) Train Loss: 0.6870, Train Steps/Sec: 1.14
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+ [2025-10-28 04:30:38] (step=0014600) Train Loss: 0.6855, Train Steps/Sec: 1.14
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+ [2025-10-28 04:32:05] (step=0014700) Train Loss: 0.6858, Train Steps/Sec: 1.14
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+ [2025-10-28 04:33:33] (step=0014800) Train Loss: 0.6862, Train Steps/Sec: 1.14
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+ [2025-10-28 04:35:01] (step=0014900) Train Loss: 0.6850, Train Steps/Sec: 1.14
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+ [2025-10-28 04:36:28] (step=0015000) Train Loss: 0.6864, Train Steps/Sec: 1.14
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+ [2025-10-28 04:36:40] Beginning epoch 12...
175
+ [2025-10-28 04:38:00] (step=0015100) Train Loss: 0.6858, Train Steps/Sec: 1.10
176
+ [2025-10-28 04:39:27] (step=0015200) Train Loss: 0.6844, Train Steps/Sec: 1.14
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+ [2025-10-28 04:40:55] (step=0015300) Train Loss: 0.6835, Train Steps/Sec: 1.14
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+ [2025-10-28 04:42:23] (step=0015400) Train Loss: 0.6847, Train Steps/Sec: 1.14
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+ [2025-10-28 04:43:50] (step=0015500) Train Loss: 0.6840, Train Steps/Sec: 1.14
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+ [2025-10-28 04:45:18] (step=0015600) Train Loss: 0.6829, Train Steps/Sec: 1.14
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+ [2025-10-28 04:46:46] (step=0015700) Train Loss: 0.6828, Train Steps/Sec: 1.14
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+ [2025-10-28 04:48:13] (step=0015800) Train Loss: 0.6846, Train Steps/Sec: 1.14
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+ [2025-10-28 04:49:41] (step=0015900) Train Loss: 0.6832, Train Steps/Sec: 1.14
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+ [2025-10-28 04:51:09] (step=0016000) Train Loss: 0.6822, Train Steps/Sec: 1.14
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+ [2025-10-28 04:52:36] (step=0016100) Train Loss: 0.6830, Train Steps/Sec: 1.14
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+ [2025-10-28 04:54:04] (step=0016200) Train Loss: 0.6834, Train Steps/Sec: 1.14
187
+ [2025-10-28 04:55:00] Beginning epoch 13...
188
+ [2025-10-28 04:55:35] (step=0016300) Train Loss: 0.6835, Train Steps/Sec: 1.10
189
+ [2025-10-28 04:57:02] (step=0016400) Train Loss: 0.6819, Train Steps/Sec: 1.14
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+ [2025-10-28 04:58:31] (step=0016500) Train Loss: 0.6819, Train Steps/Sec: 1.13
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+ [2025-10-28 04:59:58] (step=0016600) Train Loss: 0.6810, Train Steps/Sec: 1.14
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+ [2025-10-28 05:01:26] (step=0016700) Train Loss: 0.6806, Train Steps/Sec: 1.14
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+ [2025-10-28 05:02:53] (step=0016800) Train Loss: 0.6810, Train Steps/Sec: 1.14
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+ [2025-10-28 05:04:21] (step=0016900) Train Loss: 0.6795, Train Steps/Sec: 1.14
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+ [2025-10-28 05:05:49] (step=0017000) Train Loss: 0.6808, Train Steps/Sec: 1.14
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+ [2025-10-28 05:07:16] (step=0017100) Train Loss: 0.6787, Train Steps/Sec: 1.14
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+ [2025-10-28 05:08:44] (step=0017200) Train Loss: 0.6808, Train Steps/Sec: 1.14
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+ [2025-10-28 05:10:12] (step=0017300) Train Loss: 0.6811, Train Steps/Sec: 1.14
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+ [2025-10-28 05:11:39] (step=0017400) Train Loss: 0.6794, Train Steps/Sec: 1.14
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+ [2025-10-28 05:13:07] (step=0017500) Train Loss: 0.6795, Train Steps/Sec: 1.14
201
+ [2025-10-28 05:13:20] Beginning epoch 14...
202
+ [2025-10-28 05:14:38] (step=0017600) Train Loss: 0.6783, Train Steps/Sec: 1.09
203
+ [2025-10-28 05:16:06] (step=0017700) Train Loss: 0.6768, Train Steps/Sec: 1.14
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+ [2025-10-28 05:17:34] (step=0017800) Train Loss: 0.6788, Train Steps/Sec: 1.14
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+ [2025-10-28 05:19:01] (step=0017900) Train Loss: 0.6782, Train Steps/Sec: 1.14
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+ [2025-10-28 05:20:29] (step=0018000) Train Loss: 0.6769, Train Steps/Sec: 1.14
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+ [2025-10-28 05:21:56] (step=0018100) Train Loss: 0.6786, Train Steps/Sec: 1.14
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+ [2025-10-28 05:23:25] (step=0018200) Train Loss: 0.6787, Train Steps/Sec: 1.14
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+ [2025-10-28 05:24:52] (step=0018300) Train Loss: 0.6796, Train Steps/Sec: 1.14
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+ [2025-10-28 05:26:20] (step=0018400) Train Loss: 0.6758, Train Steps/Sec: 1.14
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+ [2025-10-28 05:27:47] (step=0018500) Train Loss: 0.6778, Train Steps/Sec: 1.14
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+ [2025-10-28 05:29:15] (step=0018600) Train Loss: 0.6778, Train Steps/Sec: 1.14
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+ [2025-10-28 05:30:42] (step=0018700) Train Loss: 0.6769, Train Steps/Sec: 1.14
214
+ [2025-10-28 05:31:40] Beginning epoch 15...
215
+ [2025-10-28 05:32:14] (step=0018800) Train Loss: 0.6769, Train Steps/Sec: 1.10
216
+ [2025-10-28 05:33:41] (step=0018900) Train Loss: 0.6757, Train Steps/Sec: 1.14
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+ [2025-10-28 05:35:09] (step=0019000) Train Loss: 0.6752, Train Steps/Sec: 1.14
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+ [2025-10-28 05:36:37] (step=0019100) Train Loss: 0.6783, Train Steps/Sec: 1.13
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+ [2025-10-28 05:38:05] (step=0019200) Train Loss: 0.6775, Train Steps/Sec: 1.14
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+ [2025-10-28 05:39:32] (step=0019300) Train Loss: 0.6753, Train Steps/Sec: 1.14
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+ [2025-10-28 05:41:00] (step=0019400) Train Loss: 0.6782, Train Steps/Sec: 1.14
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+ [2025-10-28 05:42:27] (step=0019500) Train Loss: 0.6769, Train Steps/Sec: 1.14
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+ [2025-10-28 05:43:55] (step=0019600) Train Loss: 0.6744, Train Steps/Sec: 1.14
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+ [2025-10-28 05:45:22] (step=0019700) Train Loss: 0.6732, Train Steps/Sec: 1.14
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+ [2025-10-28 05:46:50] (step=0019800) Train Loss: 0.6745, Train Steps/Sec: 1.14
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+ [2025-10-28 05:48:18] (step=0019900) Train Loss: 0.6746, Train Steps/Sec: 1.14
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+ [2025-10-28 05:49:45] (step=0020000) Train Loss: 0.6749, Train Steps/Sec: 1.14
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+ [2025-10-28 05:50:00] Beginning epoch 16...
229
+ [2025-10-28 05:51:17] (step=0020100) Train Loss: 0.6721, Train Steps/Sec: 1.10
230
+ [2025-10-28 05:52:44] (step=0020200) Train Loss: 0.6750, Train Steps/Sec: 1.14
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+ [2025-10-28 05:54:12] (step=0020300) Train Loss: 0.6753, Train Steps/Sec: 1.14
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+ [2025-10-28 05:55:40] (step=0020400) Train Loss: 0.6731, Train Steps/Sec: 1.14
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+ [2025-10-28 05:57:07] (step=0020500) Train Loss: 0.6722, Train Steps/Sec: 1.14
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+ [2025-10-28 05:58:35] (step=0020600) Train Loss: 0.6735, Train Steps/Sec: 1.14
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+ [2025-10-28 06:00:02] (step=0020700) Train Loss: 0.6735, Train Steps/Sec: 1.14
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+ [2025-10-28 06:01:30] (step=0020800) Train Loss: 0.6754, Train Steps/Sec: 1.13
237
+ [2025-10-28 06:02:58] (step=0020900) Train Loss: 0.6726, Train Steps/Sec: 1.14
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+ [2025-10-28 06:04:25] (step=0021000) Train Loss: 0.6717, Train Steps/Sec: 1.14
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+ [2025-10-28 06:05:53] (step=0021100) Train Loss: 0.6714, Train Steps/Sec: 1.14
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+ [2025-10-28 06:07:21] (step=0021200) Train Loss: 0.6725, Train Steps/Sec: 1.14
241
+ [2025-10-28 06:08:20] Beginning epoch 17...
242
+ [2025-10-28 06:08:52] (step=0021300) Train Loss: 0.6742, Train Steps/Sec: 1.10
243
+ [2025-10-28 06:10:19] (step=0021400) Train Loss: 0.6708, Train Steps/Sec: 1.14
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+ [2025-10-28 06:11:47] (step=0021500) Train Loss: 0.6720, Train Steps/Sec: 1.14
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+ [2025-10-28 06:13:15] (step=0021600) Train Loss: 0.6714, Train Steps/Sec: 1.14
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+ [2025-10-28 06:14:43] (step=0021700) Train Loss: 0.6727, Train Steps/Sec: 1.14
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+ [2025-10-28 06:16:10] (step=0021800) Train Loss: 0.6711, Train Steps/Sec: 1.14
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+ [2025-10-28 06:17:38] (step=0021900) Train Loss: 0.6704, Train Steps/Sec: 1.14
249
+ [2025-10-28 06:19:06] (step=0022000) Train Loss: 0.6699, Train Steps/Sec: 1.14
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+ [2025-10-28 06:20:33] (step=0022100) Train Loss: 0.6708, Train Steps/Sec: 1.14
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+ [2025-10-28 06:22:01] (step=0022200) Train Loss: 0.6704, Train Steps/Sec: 1.14
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+ [2025-10-28 06:23:28] (step=0022300) Train Loss: 0.6694, Train Steps/Sec: 1.14
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+ [2025-10-28 06:24:56] (step=0022400) Train Loss: 0.6698, Train Steps/Sec: 1.14
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+ [2025-10-28 06:26:24] (step=0022500) Train Loss: 0.6693, Train Steps/Sec: 1.14
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+ [2025-10-28 06:26:40] Beginning epoch 18...
256
+ [2025-10-28 06:27:55] (step=0022600) Train Loss: 0.6705, Train Steps/Sec: 1.10
257
+ [2025-10-28 06:29:22] (step=0022700) Train Loss: 0.6694, Train Steps/Sec: 1.14
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+ [2025-10-28 06:30:50] (step=0022800) Train Loss: 0.6692, Train Steps/Sec: 1.14
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+ [2025-10-28 06:32:18] (step=0022900) Train Loss: 0.6706, Train Steps/Sec: 1.14
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+ [2025-10-28 06:33:45] (step=0023000) Train Loss: 0.6696, Train Steps/Sec: 1.14
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+ [2025-10-28 06:35:13] (step=0023100) Train Loss: 0.6681, Train Steps/Sec: 1.14
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+ [2025-10-28 06:36:40] (step=0023200) Train Loss: 0.6689, Train Steps/Sec: 1.14
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+ [2025-10-28 06:38:08] (step=0023300) Train Loss: 0.6685, Train Steps/Sec: 1.14
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+ [2025-10-28 06:39:36] (step=0023400) Train Loss: 0.6678, Train Steps/Sec: 1.13
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+ [2025-10-28 06:41:04] (step=0023500) Train Loss: 0.6682, Train Steps/Sec: 1.14
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+ [2025-10-28 06:42:32] (step=0023600) Train Loss: 0.6690, Train Steps/Sec: 1.14
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+ [2025-10-28 06:43:59] (step=0023700) Train Loss: 0.6692, Train Steps/Sec: 1.14
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+ [2025-10-28 06:45:00] Beginning epoch 19...
269
+ [2025-10-28 06:45:30] (step=0023800) Train Loss: 0.6671, Train Steps/Sec: 1.10
270
+ [2025-10-28 06:46:58] (step=0023900) Train Loss: 0.6689, Train Steps/Sec: 1.14
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+ [2025-10-28 06:48:25] (step=0024000) Train Loss: 0.6666, Train Steps/Sec: 1.14
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+ [2025-10-28 06:49:53] (step=0024100) Train Loss: 0.6664, Train Steps/Sec: 1.14
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+ [2025-10-28 06:51:21] (step=0024200) Train Loss: 0.6678, Train Steps/Sec: 1.14
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+ [2025-10-28 06:52:49] (step=0024300) Train Loss: 0.6657, Train Steps/Sec: 1.14
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+ [2025-10-28 06:54:16] (step=0024400) Train Loss: 0.6680, Train Steps/Sec: 1.14
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+ [2025-10-28 06:55:44] (step=0024500) Train Loss: 0.6661, Train Steps/Sec: 1.14
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+ [2025-10-28 06:57:11] (step=0024600) Train Loss: 0.6675, Train Steps/Sec: 1.14
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+ [2025-10-28 06:58:39] (step=0024700) Train Loss: 0.6662, Train Steps/Sec: 1.14
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+ [2025-10-28 07:00:07] (step=0024800) Train Loss: 0.6681, Train Steps/Sec: 1.14
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+ [2025-10-28 07:01:34] (step=0024900) Train Loss: 0.6671, Train Steps/Sec: 1.14
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+ [2025-10-28 07:03:02] (step=0025000) Train Loss: 0.6666, Train Steps/Sec: 1.14
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+ [2025-10-28 07:03:55] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-webssl-vit-dino1b-bf16/checkpoints/0025000.pt
283
+ [2025-10-28 07:03:55] Generating EMA samples...
284
+ [2025-10-28 07:04:23] Generating EMA samples done.
285
+ [2025-10-28 07:04:41] Beginning epoch 20...
286
+ [2025-10-28 07:05:54] (step=0025100) Train Loss: 0.6684, Train Steps/Sec: 0.58
287
+ [2025-10-28 07:07:21] (step=0025200) Train Loss: 0.6644, Train Steps/Sec: 1.14
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+ [2025-10-28 07:08:49] (step=0025300) Train Loss: 0.6669, Train Steps/Sec: 1.14
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+ [2025-10-28 07:10:16] (step=0025400) Train Loss: 0.6670, Train Steps/Sec: 1.14
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+ [2025-10-28 07:11:44] (step=0025500) Train Loss: 0.6673, Train Steps/Sec: 1.14
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+ [2025-10-28 07:13:11] (step=0025600) Train Loss: 0.6659, Train Steps/Sec: 1.14
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+ [2025-10-28 07:14:39] (step=0025700) Train Loss: 0.6641, Train Steps/Sec: 1.14
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+ [2025-10-28 07:16:06] (step=0025800) Train Loss: 0.6654, Train Steps/Sec: 1.14
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+ [2025-10-28 07:17:34] (step=0025900) Train Loss: 0.6625, Train Steps/Sec: 1.14
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+ [2025-10-28 07:19:02] (step=0026000) Train Loss: 0.6656, Train Steps/Sec: 1.14
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+ [2025-10-28 07:20:30] (step=0026100) Train Loss: 0.6664, Train Steps/Sec: 1.14
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+ [2025-10-28 07:21:57] (step=0026200) Train Loss: 0.6655, Train Steps/Sec: 1.14
298
+ [2025-10-28 07:23:00] Beginning epoch 21...
299
+ [2025-10-28 07:23:28] (step=0026300) Train Loss: 0.6629, Train Steps/Sec: 1.10
300
+ [2025-10-28 07:24:56] (step=0026400) Train Loss: 0.6640, Train Steps/Sec: 1.14
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+ [2025-10-28 07:26:23] (step=0026500) Train Loss: 0.6625, Train Steps/Sec: 1.14
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+ [2025-10-28 07:27:51] (step=0026600) Train Loss: 0.6653, Train Steps/Sec: 1.14
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+ [2025-10-28 07:29:18] (step=0026700) Train Loss: 0.6628, Train Steps/Sec: 1.14
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+ [2025-10-28 07:30:46] (step=0026800) Train Loss: 0.6636, Train Steps/Sec: 1.14
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+ [2025-10-28 07:32:14] (step=0026900) Train Loss: 0.6648, Train Steps/Sec: 1.14
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+ [2025-10-28 07:33:42] (step=0027000) Train Loss: 0.6637, Train Steps/Sec: 1.14
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+ [2025-10-28 07:35:09] (step=0027100) Train Loss: 0.6628, Train Steps/Sec: 1.14
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+ [2025-10-28 07:36:37] (step=0027200) Train Loss: 0.6630, Train Steps/Sec: 1.14
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+ [2025-10-28 07:38:04] (step=0027300) Train Loss: 0.6619, Train Steps/Sec: 1.14
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+ [2025-10-28 07:39:32] (step=0027400) Train Loss: 0.6648, Train Steps/Sec: 1.14
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+ [2025-10-28 07:40:59] (step=0027500) Train Loss: 0.6626, Train Steps/Sec: 1.14
312
+ [2025-10-28 07:41:19] Beginning epoch 22...
313
+ [2025-10-28 07:42:30] (step=0027600) Train Loss: 0.6620, Train Steps/Sec: 1.10
314
+ [2025-10-28 07:43:59] (step=0027700) Train Loss: 0.6624, Train Steps/Sec: 1.13
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+ [2025-10-28 07:45:26] (step=0027800) Train Loss: 0.6613, Train Steps/Sec: 1.14
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+ [2025-10-28 07:46:54] (step=0027900) Train Loss: 0.6623, Train Steps/Sec: 1.14
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+ [2025-10-28 07:48:22] (step=0028000) Train Loss: 0.6624, Train Steps/Sec: 1.14
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+ [2025-10-28 07:49:49] (step=0028100) Train Loss: 0.6617, Train Steps/Sec: 1.14
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+ [2025-10-28 07:51:17] (step=0028200) Train Loss: 0.6637, Train Steps/Sec: 1.14
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+ [2025-10-28 07:52:44] (step=0028300) Train Loss: 0.6630, Train Steps/Sec: 1.14
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+ [2025-10-28 07:54:12] (step=0028400) Train Loss: 0.6631, Train Steps/Sec: 1.14
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+ [2025-10-28 07:55:39] (step=0028500) Train Loss: 0.6634, Train Steps/Sec: 1.14
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+ [2025-10-28 07:57:07] (step=0028600) Train Loss: 0.6614, Train Steps/Sec: 1.14
324
+ [2025-10-28 07:58:35] (step=0028700) Train Loss: 0.6612, Train Steps/Sec: 1.14
325
+ [2025-10-28 07:59:40] Beginning epoch 23...
326
+ [2025-10-28 08:00:06] (step=0028800) Train Loss: 0.6619, Train Steps/Sec: 1.09
327
+ [2025-10-28 08:01:34] (step=0028900) Train Loss: 0.6607, Train Steps/Sec: 1.14
328
+ [2025-10-28 08:03:02] (step=0029000) Train Loss: 0.6596, Train Steps/Sec: 1.14
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+ [2025-10-28 08:04:29] (step=0029100) Train Loss: 0.6601, Train Steps/Sec: 1.14
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+ [2025-10-28 08:05:57] (step=0029200) Train Loss: 0.6604, Train Steps/Sec: 1.14
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+ [2025-10-28 08:07:24] (step=0029300) Train Loss: 0.6595, Train Steps/Sec: 1.14
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+ [2025-10-28 08:08:53] (step=0029400) Train Loss: 0.6584, Train Steps/Sec: 1.13
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+ [2025-10-28 08:10:20] (step=0029500) Train Loss: 0.6624, Train Steps/Sec: 1.14
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+ [2025-10-28 08:11:48] (step=0029600) Train Loss: 0.6604, Train Steps/Sec: 1.14
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+ [2025-10-28 08:13:15] (step=0029700) Train Loss: 0.6608, Train Steps/Sec: 1.14
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+ [2025-10-28 08:14:43] (step=0029800) Train Loss: 0.6610, Train Steps/Sec: 1.14
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+ [2025-10-28 08:16:11] (step=0029900) Train Loss: 0.6612, Train Steps/Sec: 1.14
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+ [2025-10-28 08:17:38] (step=0030000) Train Loss: 0.6614, Train Steps/Sec: 1.14
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+ [2025-10-28 08:18:00] Beginning epoch 24...
340
+ [2025-10-28 08:19:10] (step=0030100) Train Loss: 0.6618, Train Steps/Sec: 1.09
341
+ [2025-10-28 08:20:37] (step=0030200) Train Loss: 0.6604, Train Steps/Sec: 1.14
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+ [2025-10-28 08:22:05] (step=0030300) Train Loss: 0.6584, Train Steps/Sec: 1.13
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+ [2025-10-28 08:23:33] (step=0030400) Train Loss: 0.6599, Train Steps/Sec: 1.14
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+ [2025-10-28 08:25:01] (step=0030500) Train Loss: 0.6599, Train Steps/Sec: 1.14
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+ [2025-10-28 08:26:28] (step=0030600) Train Loss: 0.6602, Train Steps/Sec: 1.14
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+ [2025-10-28 08:27:56] (step=0030700) Train Loss: 0.6597, Train Steps/Sec: 1.14
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+ [2025-10-28 08:29:23] (step=0030800) Train Loss: 0.6602, Train Steps/Sec: 1.14
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+ [2025-10-28 08:30:51] (step=0030900) Train Loss: 0.6607, Train Steps/Sec: 1.14
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+ [2025-10-28 08:32:19] (step=0031000) Train Loss: 0.6579, Train Steps/Sec: 1.14
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+ [2025-10-28 08:33:46] (step=0031100) Train Loss: 0.6601, Train Steps/Sec: 1.14
351
+ [2025-10-28 08:35:14] (step=0031200) Train Loss: 0.6597, Train Steps/Sec: 1.14
352
+ [2025-10-28 08:36:20] Beginning epoch 25...
353
+ [2025-10-28 08:36:45] (step=0031300) Train Loss: 0.6592, Train Steps/Sec: 1.10
354
+ [2025-10-28 08:38:13] (step=0031400) Train Loss: 0.6585, Train Steps/Sec: 1.14
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+ [2025-10-28 08:39:40] (step=0031500) Train Loss: 0.6587, Train Steps/Sec: 1.14
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+ [2025-10-28 08:41:08] (step=0031600) Train Loss: 0.6584, Train Steps/Sec: 1.14
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+ [2025-10-28 08:42:35] (step=0031700) Train Loss: 0.6596, Train Steps/Sec: 1.14
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+ [2025-10-28 08:44:03] (step=0031800) Train Loss: 0.6589, Train Steps/Sec: 1.14
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+ [2025-10-28 08:45:31] (step=0031900) Train Loss: 0.6585, Train Steps/Sec: 1.14
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+ [2025-10-28 08:46:59] (step=0032000) Train Loss: 0.6579, Train Steps/Sec: 1.13
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+ [2025-10-28 08:48:27] (step=0032100) Train Loss: 0.6603, Train Steps/Sec: 1.14
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+ [2025-10-28 08:49:54] (step=0032200) Train Loss: 0.6583, Train Steps/Sec: 1.14
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+ [2025-10-28 08:51:22] (step=0032300) Train Loss: 0.6572, Train Steps/Sec: 1.14
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+ [2025-10-28 08:52:49] (step=0032400) Train Loss: 0.6584, Train Steps/Sec: 1.14
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+ [2025-10-28 08:54:17] (step=0032500) Train Loss: 0.6576, Train Steps/Sec: 1.14
366
+ [2025-10-28 08:54:40] Beginning epoch 26...
367
+ [2025-10-28 08:55:49] (step=0032600) Train Loss: 0.6584, Train Steps/Sec: 1.08
368
+ [2025-10-28 08:57:17] (step=0032700) Train Loss: 0.6568, Train Steps/Sec: 1.14
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+ [2025-10-28 08:58:44] (step=0032800) Train Loss: 0.6550, Train Steps/Sec: 1.14
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+ [2025-10-28 09:00:13] (step=0032900) Train Loss: 0.6557, Train Steps/Sec: 1.13
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+ [2025-10-28 09:01:40] (step=0033000) Train Loss: 0.6574, Train Steps/Sec: 1.14
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+ [2025-10-28 09:03:08] (step=0033100) Train Loss: 0.6572, Train Steps/Sec: 1.14
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+ [2025-10-28 09:04:35] (step=0033200) Train Loss: 0.6560, Train Steps/Sec: 1.14
374
+ [2025-10-28 09:06:03] (step=0033300) Train Loss: 0.6584, Train Steps/Sec: 1.14
375
+ [2025-10-28 09:07:30] (step=0033400) Train Loss: 0.6571, Train Steps/Sec: 1.14
376
+ [2025-10-28 09:08:58] (step=0033500) Train Loss: 0.6573, Train Steps/Sec: 1.14
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+ [2025-10-28 09:10:25] (step=0033600) Train Loss: 0.6557, Train Steps/Sec: 1.14
378
+ [2025-10-28 09:11:53] (step=0033700) Train Loss: 0.6567, Train Steps/Sec: 1.14
379
+ [2025-10-28 09:13:02] Beginning epoch 27...
380
+ [2025-10-28 09:13:25] (step=0033800) Train Loss: 0.6573, Train Steps/Sec: 1.09
381
+ [2025-10-28 09:14:53] (step=0033900) Train Loss: 0.6580, Train Steps/Sec: 1.14
382
+ [2025-10-28 09:16:20] (step=0034000) Train Loss: 0.6565, Train Steps/Sec: 1.14
383
+ [2025-10-28 09:17:48] (step=0034100) Train Loss: 0.6572, Train Steps/Sec: 1.14
384
+ [2025-10-28 09:19:15] (step=0034200) Train Loss: 0.6555, Train Steps/Sec: 1.14
385
+ [2025-10-28 09:20:43] (step=0034300) Train Loss: 0.6576, Train Steps/Sec: 1.14
386
+ [2025-10-28 09:22:11] (step=0034400) Train Loss: 0.6561, Train Steps/Sec: 1.14
387
+ [2025-10-28 09:23:38] (step=0034500) Train Loss: 0.6561, Train Steps/Sec: 1.14
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+ [2025-10-28 09:25:06] (step=0034600) Train Loss: 0.6568, Train Steps/Sec: 1.13
389
+ [2025-10-28 09:26:34] (step=0034700) Train Loss: 0.6564, Train Steps/Sec: 1.14
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+ [2025-10-28 09:28:01] (step=0034800) Train Loss: 0.6559, Train Steps/Sec: 1.14
391
+ [2025-10-28 09:29:29] (step=0034900) Train Loss: 0.6542, Train Steps/Sec: 1.14
392
+ [2025-10-28 09:30:56] (step=0035000) Train Loss: 0.6554, Train Steps/Sec: 1.14
393
+ [2025-10-28 09:31:22] Beginning epoch 28...
394
+ [2025-10-28 09:32:27] (step=0035100) Train Loss: 0.6555, Train Steps/Sec: 1.10
395
+ [2025-10-28 09:33:55] (step=0035200) Train Loss: 0.6552, Train Steps/Sec: 1.14
396
+ [2025-10-28 09:35:23] (step=0035300) Train Loss: 0.6559, Train Steps/Sec: 1.14
397
+ [2025-10-28 09:36:50] (step=0035400) Train Loss: 0.6546, Train Steps/Sec: 1.14
398
+ [2025-10-28 09:38:18] (step=0035500) Train Loss: 0.6535, Train Steps/Sec: 1.13
399
+ [2025-10-28 09:39:46] (step=0035600) Train Loss: 0.6567, Train Steps/Sec: 1.14
400
+ [2025-10-28 09:41:13] (step=0035700) Train Loss: 0.6549, Train Steps/Sec: 1.14
401
+ [2025-10-28 09:42:41] (step=0035800) Train Loss: 0.6556, Train Steps/Sec: 1.14
402
+ [2025-10-28 09:44:09] (step=0035900) Train Loss: 0.6548, Train Steps/Sec: 1.14
403
+ [2025-10-28 09:45:36] (step=0036000) Train Loss: 0.6550, Train Steps/Sec: 1.14
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+ [2025-10-28 09:47:04] (step=0036100) Train Loss: 0.6562, Train Steps/Sec: 1.14
405
+ [2025-10-28 09:48:31] (step=0036200) Train Loss: 0.6574, Train Steps/Sec: 1.14
406
+ [2025-10-28 09:49:41] Beginning epoch 29...
407
+ [2025-10-28 09:50:03] (step=0036300) Train Loss: 0.6539, Train Steps/Sec: 1.09
408
+ [2025-10-28 09:51:31] (step=0036400) Train Loss: 0.6548, Train Steps/Sec: 1.14
409
+ [2025-10-28 09:52:58] (step=0036500) Train Loss: 0.6545, Train Steps/Sec: 1.14
410
+ [2025-10-28 09:54:26] (step=0036600) Train Loss: 0.6524, Train Steps/Sec: 1.14
411
+ [2025-10-28 09:55:53] (step=0036700) Train Loss: 0.6542, Train Steps/Sec: 1.14
412
+ [2025-10-28 09:57:21] (step=0036800) Train Loss: 0.6531, Train Steps/Sec: 1.14
413
+ [2025-10-28 09:58:48] (step=0036900) Train Loss: 0.6545, Train Steps/Sec: 1.14
414
+ [2025-10-28 10:00:16] (step=0037000) Train Loss: 0.6560, Train Steps/Sec: 1.14
415
+ [2025-10-28 10:01:44] (step=0037100) Train Loss: 0.6541, Train Steps/Sec: 1.14
416
+ [2025-10-28 10:03:11] (step=0037200) Train Loss: 0.6525, Train Steps/Sec: 1.14
417
+ [2025-10-28 10:04:39] (step=0037300) Train Loss: 0.6529, Train Steps/Sec: 1.14
418
+ [2025-10-28 10:06:06] (step=0037400) Train Loss: 0.6539, Train Steps/Sec: 1.14
419
+ [2025-10-28 10:07:34] (step=0037500) Train Loss: 0.6538, Train Steps/Sec: 1.14
420
+ [2025-10-28 10:08:01] Beginning epoch 30...
421
+ [2025-10-28 10:09:05] (step=0037600) Train Loss: 0.6531, Train Steps/Sec: 1.10
422
+ [2025-10-28 10:10:33] (step=0037700) Train Loss: 0.6516, Train Steps/Sec: 1.14
423
+ [2025-10-28 10:12:00] (step=0037800) Train Loss: 0.6520, Train Steps/Sec: 1.14
424
+ [2025-10-28 10:13:28] (step=0037900) Train Loss: 0.6534, Train Steps/Sec: 1.14
425
+ [2025-10-28 10:14:56] (step=0038000) Train Loss: 0.6524, Train Steps/Sec: 1.14
426
+ [2025-10-28 10:16:24] (step=0038100) Train Loss: 0.6521, Train Steps/Sec: 1.13
427
+ [2025-10-28 10:17:51] (step=0038200) Train Loss: 0.6530, Train Steps/Sec: 1.14
428
+ [2025-10-28 10:19:19] (step=0038300) Train Loss: 0.6538, Train Steps/Sec: 1.14
429
+ [2025-10-28 10:20:46] (step=0038400) Train Loss: 0.6536, Train Steps/Sec: 1.14
430
+ [2025-10-28 10:22:14] (step=0038500) Train Loss: 0.6530, Train Steps/Sec: 1.14
431
+ [2025-10-28 10:23:41] (step=0038600) Train Loss: 0.6529, Train Steps/Sec: 1.14
432
+ [2025-10-28 10:25:09] (step=0038700) Train Loss: 0.6528, Train Steps/Sec: 1.14
433
+ [2025-10-28 10:26:21] Beginning epoch 31...
434
+ [2025-10-28 10:26:40] (step=0038800) Train Loss: 0.6533, Train Steps/Sec: 1.09
435
+ [2025-10-28 10:28:09] (step=0038900) Train Loss: 0.6507, Train Steps/Sec: 1.13
436
+ [2025-10-28 10:29:36] (step=0039000) Train Loss: 0.6521, Train Steps/Sec: 1.14
437
+ [2025-10-28 10:31:04] (step=0039100) Train Loss: 0.6518, Train Steps/Sec: 1.14
438
+ [2025-10-28 10:32:32] (step=0039200) Train Loss: 0.6520, Train Steps/Sec: 1.14
439
+ [2025-10-28 10:33:59] (step=0039300) Train Loss: 0.6524, Train Steps/Sec: 1.14
440
+ [2025-10-28 10:35:27] (step=0039400) Train Loss: 0.6531, Train Steps/Sec: 1.14
441
+ [2025-10-28 10:36:54] (step=0039500) Train Loss: 0.6519, Train Steps/Sec: 1.14
442
+ [2025-10-28 10:38:22] (step=0039600) Train Loss: 0.6536, Train Steps/Sec: 1.14
443
+ [2025-10-28 10:39:49] (step=0039700) Train Loss: 0.6509, Train Steps/Sec: 1.14
444
+ [2025-10-28 10:41:17] (step=0039800) Train Loss: 0.6519, Train Steps/Sec: 1.14
445
+ [2025-10-28 10:42:45] (step=0039900) Train Loss: 0.6514, Train Steps/Sec: 1.14
446
+ [2025-10-28 10:44:12] (step=0040000) Train Loss: 0.6511, Train Steps/Sec: 1.14
447
+ [2025-10-28 10:44:41] Beginning epoch 32...
448
+ [2025-10-28 10:45:43] (step=0040100) Train Loss: 0.6513, Train Steps/Sec: 1.10
449
+ [2025-10-28 10:47:11] (step=0040200) Train Loss: 0.6516, Train Steps/Sec: 1.14
450
+ [2025-10-28 10:48:38] (step=0040300) Train Loss: 0.6502, Train Steps/Sec: 1.14
451
+ [2025-10-28 10:50:06] (step=0040400) Train Loss: 0.6527, Train Steps/Sec: 1.14
452
+ [2025-10-28 10:51:34] (step=0040500) Train Loss: 0.6536, Train Steps/Sec: 1.14
453
+ [2025-10-28 10:53:01] (step=0040600) Train Loss: 0.6534, Train Steps/Sec: 1.14
454
+ [2025-10-28 10:54:29] (step=0040700) Train Loss: 0.6509, Train Steps/Sec: 1.13
455
+ [2025-10-28 10:55:57] (step=0040800) Train Loss: 0.6524, Train Steps/Sec: 1.14
456
+ [2025-10-28 10:57:25] (step=0040900) Train Loss: 0.6518, Train Steps/Sec: 1.14
457
+ [2025-10-28 10:58:52] (step=0041000) Train Loss: 0.6506, Train Steps/Sec: 1.14
458
+ [2025-10-28 11:00:20] (step=0041100) Train Loss: 0.6497, Train Steps/Sec: 1.14
459
+ [2025-10-28 11:01:47] (step=0041200) Train Loss: 0.6520, Train Steps/Sec: 1.14
460
+ [2025-10-28 11:03:00] Beginning epoch 33...
461
+ [2025-10-28 11:03:18] (step=0041300) Train Loss: 0.6531, Train Steps/Sec: 1.10
462
+ [2025-10-28 11:04:45] (step=0041400) Train Loss: 0.6514, Train Steps/Sec: 1.14
463
+ [2025-10-28 11:06:13] (step=0041500) Train Loss: 0.6503, Train Steps/Sec: 1.14
464
+ [2025-10-28 11:07:41] (step=0041600) Train Loss: 0.6497, Train Steps/Sec: 1.14
465
+ [2025-10-28 11:09:08] (step=0041700) Train Loss: 0.6501, Train Steps/Sec: 1.14
466
+ [2025-10-28 11:10:36] (step=0041800) Train Loss: 0.6514, Train Steps/Sec: 1.14
467
+ [2025-10-28 11:12:03] (step=0041900) Train Loss: 0.6511, Train Steps/Sec: 1.14
468
+ [2025-10-28 11:13:31] (step=0042000) Train Loss: 0.6513, Train Steps/Sec: 1.14
469
+ [2025-10-28 11:14:58] (step=0042100) Train Loss: 0.6502, Train Steps/Sec: 1.14
470
+ [2025-10-28 11:16:26] (step=0042200) Train Loss: 0.6501, Train Steps/Sec: 1.14
471
+ [2025-10-28 11:17:53] (step=0042300) Train Loss: 0.6502, Train Steps/Sec: 1.14
472
+ [2025-10-28 11:19:22] (step=0042400) Train Loss: 0.6499, Train Steps/Sec: 1.14
473
+ [2025-10-28 11:20:49] (step=0042500) Train Loss: 0.6506, Train Steps/Sec: 1.14
474
+ [2025-10-28 11:21:20] Beginning epoch 34...
475
+ [2025-10-28 11:22:20] (step=0042600) Train Loss: 0.6503, Train Steps/Sec: 1.10
476
+ [2025-10-28 11:23:47] (step=0042700) Train Loss: 0.6494, Train Steps/Sec: 1.14
477
+ [2025-10-28 11:25:15] (step=0042800) Train Loss: 0.6503, Train Steps/Sec: 1.14
478
+ [2025-10-28 11:26:43] (step=0042900) Train Loss: 0.6483, Train Steps/Sec: 1.14
479
+ [2025-10-28 11:28:10] (step=0043000) Train Loss: 0.6501, Train Steps/Sec: 1.14
480
+ [2025-10-28 11:29:38] (step=0043100) Train Loss: 0.6489, Train Steps/Sec: 1.14
481
+ [2025-10-28 11:31:05] (step=0043200) Train Loss: 0.6482, Train Steps/Sec: 1.14
482
+ [2025-10-28 11:32:33] (step=0043300) Train Loss: 0.6489, Train Steps/Sec: 1.14
483
+ [2025-10-28 11:34:01] (step=0043400) Train Loss: 0.6489, Train Steps/Sec: 1.14
484
+ [2025-10-28 11:35:28] (step=0043500) Train Loss: 0.6472, Train Steps/Sec: 1.14
485
+ [2025-10-28 11:36:56] (step=0043600) Train Loss: 0.6495, Train Steps/Sec: 1.14
486
+ [2025-10-28 11:38:23] (step=0043700) Train Loss: 0.6480, Train Steps/Sec: 1.14
487
+ [2025-10-28 11:39:38] Beginning epoch 35...
488
+ [2025-10-28 11:39:55] (step=0043800) Train Loss: 0.6483, Train Steps/Sec: 1.10
489
+ [2025-10-28 11:41:22] (step=0043900) Train Loss: 0.6479, Train Steps/Sec: 1.14
490
+ [2025-10-28 11:42:50] (step=0044000) Train Loss: 0.6495, Train Steps/Sec: 1.14
491
+ [2025-10-28 11:44:18] (step=0044100) Train Loss: 0.6496, Train Steps/Sec: 1.13
492
+ [2025-10-28 11:45:46] (step=0044200) Train Loss: 0.6495, Train Steps/Sec: 1.14
493
+ [2025-10-28 11:47:13] (step=0044300) Train Loss: 0.6484, Train Steps/Sec: 1.14
494
+ [2025-10-28 11:48:41] (step=0044400) Train Loss: 0.6465, Train Steps/Sec: 1.14
495
+ [2025-10-28 11:50:08] (step=0044500) Train Loss: 0.6493, Train Steps/Sec: 1.14
496
+ [2025-10-28 11:51:36] (step=0044600) Train Loss: 0.6508, Train Steps/Sec: 1.14
497
+ [2025-10-28 11:53:04] (step=0044700) Train Loss: 0.6502, Train Steps/Sec: 1.14
498
+ [2025-10-28 11:54:31] (step=0044800) Train Loss: 0.6492, Train Steps/Sec: 1.14
499
+ [2025-10-28 11:55:59] (step=0044900) Train Loss: 0.6479, Train Steps/Sec: 1.14
500
+ [2025-10-28 11:57:27] (step=0045000) Train Loss: 0.6484, Train Steps/Sec: 1.14
501
+ [2025-10-28 11:57:59] Beginning epoch 36...
502
+ [2025-10-28 11:58:58] (step=0045100) Train Loss: 0.6464, Train Steps/Sec: 1.09
503
+ [2025-10-28 12:00:26] (step=0045200) Train Loss: 0.6466, Train Steps/Sec: 1.14
504
+ [2025-10-28 12:01:53] (step=0045300) Train Loss: 0.6492, Train Steps/Sec: 1.14
505
+ [2025-10-28 12:03:21] (step=0045400) Train Loss: 0.6487, Train Steps/Sec: 1.14
506
+ [2025-10-28 12:04:49] (step=0045500) Train Loss: 0.6494, Train Steps/Sec: 1.14
507
+ [2025-10-28 12:06:16] (step=0045600) Train Loss: 0.6471, Train Steps/Sec: 1.14
508
+ [2025-10-28 12:07:44] (step=0045700) Train Loss: 0.6469, Train Steps/Sec: 1.14
509
+ [2025-10-28 12:09:12] (step=0045800) Train Loss: 0.6489, Train Steps/Sec: 1.14
510
+ [2025-10-28 12:10:39] (step=0045900) Train Loss: 0.6485, Train Steps/Sec: 1.14
511
+ [2025-10-28 12:12:07] (step=0046000) Train Loss: 0.6467, Train Steps/Sec: 1.14
512
+ [2025-10-28 12:13:35] (step=0046100) Train Loss: 0.6478, Train Steps/Sec: 1.14
513
+ [2025-10-28 12:15:02] (step=0046200) Train Loss: 0.6473, Train Steps/Sec: 1.14
514
+ [2025-10-28 12:16:19] Beginning epoch 37...
515
+ [2025-10-28 12:16:33] (step=0046300) Train Loss: 0.6461, Train Steps/Sec: 1.10
516
+ [2025-10-28 12:18:01] (step=0046400) Train Loss: 0.6466, Train Steps/Sec: 1.14
517
+ [2025-10-28 12:19:28] (step=0046500) Train Loss: 0.6498, Train Steps/Sec: 1.14
518
+ [2025-10-28 12:20:56] (step=0046600) Train Loss: 0.6465, Train Steps/Sec: 1.14
519
+ [2025-10-28 12:22:24] (step=0046700) Train Loss: 0.6467, Train Steps/Sec: 1.13
520
+ [2025-10-28 12:23:52] (step=0046800) Train Loss: 0.6451, Train Steps/Sec: 1.14
521
+ [2025-10-28 12:25:19] (step=0046900) Train Loss: 0.6497, Train Steps/Sec: 1.14
522
+ [2025-10-28 12:26:47] (step=0047000) Train Loss: 0.6466, Train Steps/Sec: 1.14
523
+ [2025-10-28 12:28:14] (step=0047100) Train Loss: 0.6476, Train Steps/Sec: 1.14
524
+ [2025-10-28 12:29:42] (step=0047200) Train Loss: 0.6469, Train Steps/Sec: 1.14
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+ [2025-10-28 12:31:09] (step=0047300) Train Loss: 0.6467, Train Steps/Sec: 1.14
526
+ [2025-10-28 12:32:37] (step=0047400) Train Loss: 0.6462, Train Steps/Sec: 1.14
527
+ [2025-10-28 12:34:04] (step=0047500) Train Loss: 0.6443, Train Steps/Sec: 1.14
528
+ [2025-10-28 12:34:38] Beginning epoch 38...
529
+ [2025-10-28 12:35:36] (step=0047600) Train Loss: 0.6473, Train Steps/Sec: 1.09
530
+ [2025-10-28 12:37:03] (step=0047700) Train Loss: 0.6472, Train Steps/Sec: 1.14
531
+ [2025-10-28 12:38:31] (step=0047800) Train Loss: 0.6465, Train Steps/Sec: 1.14
532
+ [2025-10-28 12:39:58] (step=0047900) Train Loss: 0.6471, Train Steps/Sec: 1.14
533
+ [2025-10-28 12:41:26] (step=0048000) Train Loss: 0.6448, Train Steps/Sec: 1.14
534
+ [2025-10-28 12:42:53] (step=0048100) Train Loss: 0.6468, Train Steps/Sec: 1.14
535
+ [2025-10-28 12:44:21] (step=0048200) Train Loss: 0.6488, Train Steps/Sec: 1.14
536
+ [2025-10-28 12:45:48] (step=0048300) Train Loss: 0.6456, Train Steps/Sec: 1.14
537
+ [2025-10-28 12:47:16] (step=0048400) Train Loss: 0.6475, Train Steps/Sec: 1.14
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+ [2025-10-28 12:48:44] (step=0048500) Train Loss: 0.6476, Train Steps/Sec: 1.14
539
+ [2025-10-28 12:50:12] (step=0048600) Train Loss: 0.6442, Train Steps/Sec: 1.14
540
+ [2025-10-28 12:51:39] (step=0048700) Train Loss: 0.6468, Train Steps/Sec: 1.14
541
+ [2025-10-28 12:52:58] Beginning epoch 39...
542
+ [2025-10-28 12:53:11] (step=0048800) Train Loss: 0.6455, Train Steps/Sec: 1.09
543
+ [2025-10-28 12:54:38] (step=0048900) Train Loss: 0.6497, Train Steps/Sec: 1.14
544
+ [2025-10-28 12:56:06] (step=0049000) Train Loss: 0.6471, Train Steps/Sec: 1.14
545
+ [2025-10-28 12:57:33] (step=0049100) Train Loss: 0.6460, Train Steps/Sec: 1.14
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+ [2025-10-28 12:59:01] (step=0049200) Train Loss: 0.6470, Train Steps/Sec: 1.14
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+ [2025-10-28 13:00:29] (step=0049300) Train Loss: 0.6464, Train Steps/Sec: 1.14
548
+ [2025-10-28 13:01:57] (step=0049400) Train Loss: 0.6471, Train Steps/Sec: 1.14
549
+ [2025-10-28 13:03:24] (step=0049500) Train Loss: 0.6456, Train Steps/Sec: 1.14
550
+ [2025-10-28 13:04:52] (step=0049600) Train Loss: 0.6453, Train Steps/Sec: 1.14
551
+ [2025-10-28 13:06:19] (step=0049700) Train Loss: 0.6467, Train Steps/Sec: 1.14
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+ [2025-10-28 13:07:47] (step=0049800) Train Loss: 0.6446, Train Steps/Sec: 1.14
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+ [2025-10-28 13:09:14] (step=0049900) Train Loss: 0.6451, Train Steps/Sec: 1.14
554
+ [2025-10-28 13:10:42] (step=0050000) Train Loss: 0.6450, Train Steps/Sec: 1.14
555
+ [2025-10-28 13:11:35] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-webssl-vit-dino1b-bf16/checkpoints/0050000.pt
556
+ [2025-10-28 13:11:35] Generating EMA samples...
557
+ [2025-10-28 13:12:03] Generating EMA samples done.
558
+ [2025-10-28 13:12:39] Beginning epoch 40...
559
+ [2025-10-28 13:13:34] (step=0050100) Train Loss: 0.6451, Train Steps/Sec: 0.58
560
+ [2025-10-28 13:15:03] (step=0050200) Train Loss: 0.6463, Train Steps/Sec: 1.13
561
+ [2025-10-28 13:16:30] (step=0050300) Train Loss: 0.6447, Train Steps/Sec: 1.14
562
+ [2025-10-28 13:17:58] (step=0050400) Train Loss: 0.6453, Train Steps/Sec: 1.14
563
+ [2025-10-28 13:19:25] (step=0050500) Train Loss: 0.6438, Train Steps/Sec: 1.14
564
+ [2025-10-28 13:20:53] (step=0050600) Train Loss: 0.6454, Train Steps/Sec: 1.14
565
+ [2025-10-28 13:22:20] (step=0050700) Train Loss: 0.6480, Train Steps/Sec: 1.14
566
+ [2025-10-28 13:23:48] (step=0050800) Train Loss: 0.6472, Train Steps/Sec: 1.14
567
+ [2025-10-28 13:25:15] (step=0050900) Train Loss: 0.6451, Train Steps/Sec: 1.14
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+ [2025-10-28 13:26:43] (step=0051000) Train Loss: 0.6451, Train Steps/Sec: 1.14
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+ [2025-10-28 13:28:11] (step=0051100) Train Loss: 0.6443, Train Steps/Sec: 1.14
570
+ [2025-10-28 13:29:38] (step=0051200) Train Loss: 0.6427, Train Steps/Sec: 1.14
571
+ [2025-10-28 13:30:59] Beginning epoch 41...
572
+ [2025-10-28 13:31:10] (step=0051300) Train Loss: 0.6437, Train Steps/Sec: 1.10
573
+ [2025-10-28 13:32:37] (step=0051400) Train Loss: 0.6465, Train Steps/Sec: 1.14
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+ [2025-10-28 13:34:05] (step=0051500) Train Loss: 0.6450, Train Steps/Sec: 1.14
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+ [2025-10-28 13:35:32] (step=0051600) Train Loss: 0.6431, Train Steps/Sec: 1.14
576
+ [2025-10-28 13:37:00] (step=0051700) Train Loss: 0.6418, Train Steps/Sec: 1.14
577
+ [2025-10-28 13:38:28] (step=0051800) Train Loss: 0.6439, Train Steps/Sec: 1.14
578
+ [2025-10-28 13:39:56] (step=0051900) Train Loss: 0.6426, Train Steps/Sec: 1.13
579
+ [2025-10-28 13:41:24] (step=0052000) Train Loss: 0.6431, Train Steps/Sec: 1.14
580
+ [2025-10-28 13:42:51] (step=0052100) Train Loss: 0.6462, Train Steps/Sec: 1.14
581
+ [2025-10-28 13:44:19] (step=0052200) Train Loss: 0.6441, Train Steps/Sec: 1.14
582
+ [2025-10-28 13:45:46] (step=0052300) Train Loss: 0.6433, Train Steps/Sec: 1.14
583
+ [2025-10-28 13:47:14] (step=0052400) Train Loss: 0.6449, Train Steps/Sec: 1.14
584
+ [2025-10-28 13:48:41] (step=0052500) Train Loss: 0.6434, Train Steps/Sec: 1.14
585
+ [2025-10-28 13:49:19] Beginning epoch 42...
586
+ [2025-10-28 13:50:13] (step=0052600) Train Loss: 0.6432, Train Steps/Sec: 1.09
587
+ [2025-10-28 13:51:41] (step=0052700) Train Loss: 0.6451, Train Steps/Sec: 1.14
588
+ [2025-10-28 13:53:09] (step=0052800) Train Loss: 0.6449, Train Steps/Sec: 1.14
589
+ [2025-10-28 13:54:36] (step=0052900) Train Loss: 0.6456, Train Steps/Sec: 1.14
590
+ [2025-10-28 13:56:04] (step=0053000) Train Loss: 0.6434, Train Steps/Sec: 1.14
591
+ [2025-10-28 13:57:31] (step=0053100) Train Loss: 0.6421, Train Steps/Sec: 1.14
592
+ [2025-10-28 13:58:59] (step=0053200) Train Loss: 0.6440, Train Steps/Sec: 1.14
593
+ [2025-10-28 14:00:26] (step=0053300) Train Loss: 0.6448, Train Steps/Sec: 1.14
594
+ [2025-10-28 14:01:54] (step=0053400) Train Loss: 0.6438, Train Steps/Sec: 1.14
595
+ [2025-10-28 14:03:22] (step=0053500) Train Loss: 0.6433, Train Steps/Sec: 1.14
596
+ [2025-10-28 14:04:49] (step=0053600) Train Loss: 0.6434, Train Steps/Sec: 1.14
597
+ [2025-10-28 14:06:17] (step=0053700) Train Loss: 0.6434, Train Steps/Sec: 1.14
598
+ [2025-10-28 14:07:39] Beginning epoch 43...
599
+ [2025-10-28 14:07:48] (step=0053800) Train Loss: 0.6437, Train Steps/Sec: 1.10
600
+ [2025-10-28 14:09:15] (step=0053900) Train Loss: 0.6444, Train Steps/Sec: 1.14
601
+ [2025-10-28 14:10:43] (step=0054000) Train Loss: 0.6434, Train Steps/Sec: 1.14
602
+ [2025-10-28 14:12:11] (step=0054100) Train Loss: 0.6430, Train Steps/Sec: 1.14
603
+ [2025-10-28 14:13:38] (step=0054200) Train Loss: 0.6435, Train Steps/Sec: 1.14
604
+ [2025-10-28 14:15:06] (step=0054300) Train Loss: 0.6428, Train Steps/Sec: 1.14
605
+ [2025-10-28 14:16:33] (step=0054400) Train Loss: 0.6422, Train Steps/Sec: 1.14
606
+ [2025-10-28 14:18:02] (step=0054500) Train Loss: 0.6421, Train Steps/Sec: 1.13
607
+ [2025-10-28 14:19:29] (step=0054600) Train Loss: 0.6448, Train Steps/Sec: 1.14
608
+ [2025-10-28 14:20:57] (step=0054700) Train Loss: 0.6424, Train Steps/Sec: 1.14
609
+ [2025-10-28 14:22:24] (step=0054800) Train Loss: 0.6440, Train Steps/Sec: 1.14
610
+ [2025-10-28 14:23:52] (step=0054900) Train Loss: 0.6434, Train Steps/Sec: 1.14
611
+ [2025-10-28 14:25:19] (step=0055000) Train Loss: 0.6429, Train Steps/Sec: 1.14
612
+ [2025-10-28 14:25:58] Beginning epoch 44...
613
+ [2025-10-28 14:26:50] (step=0055100) Train Loss: 0.6434, Train Steps/Sec: 1.10
614
+ [2025-10-28 14:28:18] (step=0055200) Train Loss: 0.6418, Train Steps/Sec: 1.14
615
+ [2025-10-28 14:29:46] (step=0055300) Train Loss: 0.6421, Train Steps/Sec: 1.14
616
+ [2025-10-28 14:31:14] (step=0055400) Train Loss: 0.6430, Train Steps/Sec: 1.14
617
+ [2025-10-28 14:32:41] (step=0055500) Train Loss: 0.6427, Train Steps/Sec: 1.14
618
+ [2025-10-28 14:34:09] (step=0055600) Train Loss: 0.6428, Train Steps/Sec: 1.14
619
+ [2025-10-28 14:35:36] (step=0055700) Train Loss: 0.6416, Train Steps/Sec: 1.14
620
+ [2025-10-28 14:37:04] (step=0055800) Train Loss: 0.6420, Train Steps/Sec: 1.14
621
+ [2025-10-28 14:38:31] (step=0055900) Train Loss: 0.6435, Train Steps/Sec: 1.14
622
+ [2025-10-28 14:39:59] (step=0056000) Train Loss: 0.6444, Train Steps/Sec: 1.14
623
+ [2025-10-28 14:41:26] (step=0056100) Train Loss: 0.6411, Train Steps/Sec: 1.14
624
+ [2025-10-28 14:42:55] (step=0056200) Train Loss: 0.6446, Train Steps/Sec: 1.14
625
+ [2025-10-28 14:44:18] Beginning epoch 45...
626
+ [2025-10-28 14:44:26] (step=0056300) Train Loss: 0.6435, Train Steps/Sec: 1.10
627
+ [2025-10-28 14:45:53] (step=0056400) Train Loss: 0.6405, Train Steps/Sec: 1.14
628
+ [2025-10-28 14:47:21] (step=0056500) Train Loss: 0.6419, Train Steps/Sec: 1.14
629
+ [2025-10-28 14:48:48] (step=0056600) Train Loss: 0.6424, Train Steps/Sec: 1.14
630
+ [2025-10-28 14:50:16] (step=0056700) Train Loss: 0.6414, Train Steps/Sec: 1.14
631
+ [2025-10-28 14:51:43] (step=0056800) Train Loss: 0.6405, Train Steps/Sec: 1.14
632
+ [2025-10-28 14:53:11] (step=0056900) Train Loss: 0.6425, Train Steps/Sec: 1.14
633
+ [2025-10-28 14:54:38] (step=0057000) Train Loss: 0.6412, Train Steps/Sec: 1.14
634
+ [2025-10-28 14:56:06] (step=0057100) Train Loss: 0.6404, Train Steps/Sec: 1.14
635
+ [2025-10-28 14:57:34] (step=0057200) Train Loss: 0.6420, Train Steps/Sec: 1.14
636
+ [2025-10-28 14:59:02] (step=0057300) Train Loss: 0.6416, Train Steps/Sec: 1.14
637
+ [2025-10-28 15:00:29] (step=0057400) Train Loss: 0.6412, Train Steps/Sec: 1.14
638
+ [2025-10-28 15:01:57] (step=0057500) Train Loss: 0.6406, Train Steps/Sec: 1.14
639
+ [2025-10-28 15:02:38] Beginning epoch 46...
640
+ [2025-10-28 15:03:28] (step=0057600) Train Loss: 0.6391, Train Steps/Sec: 1.09
641
+ [2025-10-28 15:04:56] (step=0057700) Train Loss: 0.6434, Train Steps/Sec: 1.14
642
+ [2025-10-28 15:06:23] (step=0057800) Train Loss: 0.6411, Train Steps/Sec: 1.14
643
+ [2025-10-28 15:07:52] (step=0057900) Train Loss: 0.6414, Train Steps/Sec: 1.13
644
+ [2025-10-28 15:09:19] (step=0058000) Train Loss: 0.6410, Train Steps/Sec: 1.14
645
+ [2025-10-28 15:10:47] (step=0058100) Train Loss: 0.6411, Train Steps/Sec: 1.14
646
+ [2025-10-28 15:12:14] (step=0058200) Train Loss: 0.6404, Train Steps/Sec: 1.14
647
+ [2025-10-28 15:13:42] (step=0058300) Train Loss: 0.6419, Train Steps/Sec: 1.14
648
+ [2025-10-28 15:15:09] (step=0058400) Train Loss: 0.6411, Train Steps/Sec: 1.14
649
+ [2025-10-28 15:16:37] (step=0058500) Train Loss: 0.6406, Train Steps/Sec: 1.14
650
+ [2025-10-28 15:18:04] (step=0058600) Train Loss: 0.6402, Train Steps/Sec: 1.14
651
+ [2025-10-28 15:19:32] (step=0058700) Train Loss: 0.6414, Train Steps/Sec: 1.14
652
+ [2025-10-28 15:20:58] Beginning epoch 47...
653
+ [2025-10-28 15:21:03] (step=0058800) Train Loss: 0.6428, Train Steps/Sec: 1.10
654
+ [2025-10-28 15:22:31] (step=0058900) Train Loss: 0.6409, Train Steps/Sec: 1.14
655
+ [2025-10-28 15:23:58] (step=0059000) Train Loss: 0.6394, Train Steps/Sec: 1.14
656
+ [2025-10-28 15:25:26] (step=0059100) Train Loss: 0.6390, Train Steps/Sec: 1.14
657
+ [2025-10-28 15:26:53] (step=0059200) Train Loss: 0.6404, Train Steps/Sec: 1.14
658
+ [2025-10-28 15:28:21] (step=0059300) Train Loss: 0.6398, Train Steps/Sec: 1.14
659
+ [2025-10-28 15:29:49] (step=0059400) Train Loss: 0.6411, Train Steps/Sec: 1.14
660
+ [2025-10-28 15:31:16] (step=0059500) Train Loss: 0.6417, Train Steps/Sec: 1.14
661
+ [2025-10-28 15:32:44] (step=0059600) Train Loss: 0.6400, Train Steps/Sec: 1.14
662
+ [2025-10-28 15:34:12] (step=0059700) Train Loss: 0.6412, Train Steps/Sec: 1.13
663
+ [2025-10-28 15:35:40] (step=0059800) Train Loss: 0.6401, Train Steps/Sec: 1.14
664
+ [2025-10-28 15:37:07] (step=0059900) Train Loss: 0.6402, Train Steps/Sec: 1.14
665
+ [2025-10-28 15:38:35] (step=0060000) Train Loss: 0.6407, Train Steps/Sec: 1.14
666
+ [2025-10-28 15:39:18] Beginning epoch 48...
667
+ [2025-10-28 15:40:07] (step=0060100) Train Loss: 0.6412, Train Steps/Sec: 1.09
668
+ [2025-10-28 15:41:34] (step=0060200) Train Loss: 0.6403, Train Steps/Sec: 1.14
669
+ [2025-10-28 15:43:02] (step=0060300) Train Loss: 0.6401, Train Steps/Sec: 1.14
670
+ [2025-10-28 15:44:29] (step=0060400) Train Loss: 0.6410, Train Steps/Sec: 1.14
671
+ [2025-10-28 15:45:58] (step=0060500) Train Loss: 0.6400, Train Steps/Sec: 1.14
672
+ [2025-10-28 15:47:25] (step=0060600) Train Loss: 0.6412, Train Steps/Sec: 1.14
673
+ [2025-10-28 15:48:53] (step=0060700) Train Loss: 0.6398, Train Steps/Sec: 1.14
674
+ [2025-10-28 15:50:20] (step=0060800) Train Loss: 0.6408, Train Steps/Sec: 1.14
675
+ [2025-10-28 15:51:48] (step=0060900) Train Loss: 0.6403, Train Steps/Sec: 1.14
676
+ [2025-10-28 15:53:15] (step=0061000) Train Loss: 0.6387, Train Steps/Sec: 1.14
677
+ [2025-10-28 15:54:43] (step=0061100) Train Loss: 0.6395, Train Steps/Sec: 1.14
678
+ [2025-10-28 15:56:10] (step=0061200) Train Loss: 0.6400, Train Steps/Sec: 1.14
679
+ [2025-10-28 15:57:38] Beginning epoch 49...
680
+ [2025-10-28 15:57:41] (step=0061300) Train Loss: 0.6420, Train Steps/Sec: 1.10
681
+ [2025-10-28 15:59:10] (step=0061400) Train Loss: 0.6379, Train Steps/Sec: 1.14
682
+ [2025-10-28 16:00:37] (step=0061500) Train Loss: 0.6387, Train Steps/Sec: 1.14
683
+ [2025-10-28 16:02:05] (step=0061600) Train Loss: 0.6418, Train Steps/Sec: 1.14
684
+ [2025-10-28 16:03:32] (step=0061700) Train Loss: 0.6410, Train Steps/Sec: 1.14
685
+ [2025-10-28 16:05:00] (step=0061800) Train Loss: 0.6417, Train Steps/Sec: 1.14
686
+ [2025-10-28 16:06:27] (step=0061900) Train Loss: 0.6398, Train Steps/Sec: 1.14
687
+ [2025-10-28 16:07:55] (step=0062000) Train Loss: 0.6414, Train Steps/Sec: 1.14
688
+ [2025-10-28 16:09:22] (step=0062100) Train Loss: 0.6382, Train Steps/Sec: 1.14
689
+ [2025-10-28 16:10:50] (step=0062200) Train Loss: 0.6408, Train Steps/Sec: 1.14
690
+ [2025-10-28 16:12:18] (step=0062300) Train Loss: 0.6409, Train Steps/Sec: 1.14
691
+ [2025-10-28 16:13:45] (step=0062400) Train Loss: 0.6405, Train Steps/Sec: 1.14
692
+ [2025-10-28 16:15:13] (step=0062500) Train Loss: 0.6419, Train Steps/Sec: 1.14
693
+ [2025-10-28 16:15:57] Beginning epoch 50...
694
+ [2025-10-28 16:16:44] (step=0062600) Train Loss: 0.6368, Train Steps/Sec: 1.10
695
+ [2025-10-28 16:18:11] (step=0062700) Train Loss: 0.6386, Train Steps/Sec: 1.14
696
+ [2025-10-28 16:19:39] (step=0062800) Train Loss: 0.6402, Train Steps/Sec: 1.14
697
+ [2025-10-28 16:21:06] (step=0062900) Train Loss: 0.6402, Train Steps/Sec: 1.14
698
+ [2025-10-28 16:22:34] (step=0063000) Train Loss: 0.6400, Train Steps/Sec: 1.14
699
+ [2025-10-28 16:24:02] (step=0063100) Train Loss: 0.6387, Train Steps/Sec: 1.13
700
+ [2025-10-28 16:25:30] (step=0063200) Train Loss: 0.6396, Train Steps/Sec: 1.14
701
+ [2025-10-28 16:26:57] (step=0063300) Train Loss: 0.6411, Train Steps/Sec: 1.14
702
+ [2025-10-28 16:28:25] (step=0063400) Train Loss: 0.6401, Train Steps/Sec: 1.14
703
+ [2025-10-28 16:29:52] (step=0063500) Train Loss: 0.6363, Train Steps/Sec: 1.14
704
+ [2025-10-28 16:31:20] (step=0063600) Train Loss: 0.6392, Train Steps/Sec: 1.14
705
+ [2025-10-28 16:32:47] (step=0063700) Train Loss: 0.6396, Train Steps/Sec: 1.14
706
+ [2025-10-28 16:34:15] (step=0063800) Train Loss: 0.6386, Train Steps/Sec: 1.14
707
+ [2025-10-28 16:34:16] Beginning epoch 51...
708
+ [2025-10-28 16:35:46] (step=0063900) Train Loss: 0.6370, Train Steps/Sec: 1.10
709
+ [2025-10-28 16:37:14] (step=0064000) Train Loss: 0.6410, Train Steps/Sec: 1.14
710
+ [2025-10-28 16:38:42] (step=0064100) Train Loss: 0.6384, Train Steps/Sec: 1.14
711
+ [2025-10-28 16:40:09] (step=0064200) Train Loss: 0.6400, Train Steps/Sec: 1.14
712
+ [2025-10-28 16:41:37] (step=0064300) Train Loss: 0.6396, Train Steps/Sec: 1.14
713
+ [2025-10-28 16:43:05] (step=0064400) Train Loss: 0.6382, Train Steps/Sec: 1.14
714
+ [2025-10-28 16:44:32] (step=0064500) Train Loss: 0.6395, Train Steps/Sec: 1.14
715
+ [2025-10-28 16:46:00] (step=0064600) Train Loss: 0.6395, Train Steps/Sec: 1.14
716
+ [2025-10-28 16:47:27] (step=0064700) Train Loss: 0.6378, Train Steps/Sec: 1.14
717
+ [2025-10-28 16:48:55] (step=0064800) Train Loss: 0.6379, Train Steps/Sec: 1.14
718
+ [2025-10-28 16:50:23] (step=0064900) Train Loss: 0.6388, Train Steps/Sec: 1.14
719
+ [2025-10-28 16:51:50] (step=0065000) Train Loss: 0.6369, Train Steps/Sec: 1.14
720
+ [2025-10-28 16:52:36] Beginning epoch 52...
721
+ [2025-10-28 16:53:21] (step=0065100) Train Loss: 0.6374, Train Steps/Sec: 1.10
722
+ [2025-10-28 16:54:49] (step=0065200) Train Loss: 0.6385, Train Steps/Sec: 1.14
723
+ [2025-10-28 16:56:16] (step=0065300) Train Loss: 0.6398, Train Steps/Sec: 1.14
724
+ [2025-10-28 16:57:44] (step=0065400) Train Loss: 0.6399, Train Steps/Sec: 1.14
725
+ [2025-10-28 16:59:11] (step=0065500) Train Loss: 0.6405, Train Steps/Sec: 1.14
726
+ [2025-10-28 17:00:39] (step=0065600) Train Loss: 0.6391, Train Steps/Sec: 1.14
727
+ [2025-10-28 17:02:07] (step=0065700) Train Loss: 0.6358, Train Steps/Sec: 1.13
728
+ [2025-10-28 17:03:35] (step=0065800) Train Loss: 0.6380, Train Steps/Sec: 1.14
729
+ [2025-10-28 17:05:02] (step=0065900) Train Loss: 0.6402, Train Steps/Sec: 1.14
730
+ [2025-10-28 17:06:30] (step=0066000) Train Loss: 0.6378, Train Steps/Sec: 1.14
731
+ [2025-10-28 17:07:58] (step=0066100) Train Loss: 0.6404, Train Steps/Sec: 1.14
732
+ [2025-10-28 17:09:25] (step=0066200) Train Loss: 0.6383, Train Steps/Sec: 1.14
733
+ [2025-10-28 17:10:53] (step=0066300) Train Loss: 0.6389, Train Steps/Sec: 1.14
734
+ [2025-10-28 17:10:56] Beginning epoch 53...
735
+ [2025-10-28 17:12:23] (step=0066400) Train Loss: 0.6378, Train Steps/Sec: 1.10
736
+ [2025-10-28 17:13:51] (step=0066500) Train Loss: 0.6374, Train Steps/Sec: 1.14
737
+ [2025-10-28 17:15:19] (step=0066600) Train Loss: 0.6364, Train Steps/Sec: 1.13
738
+ [2025-10-28 17:16:47] (step=0066700) Train Loss: 0.6378, Train Steps/Sec: 1.14
739
+ [2025-10-28 17:18:15] (step=0066800) Train Loss: 0.6390, Train Steps/Sec: 1.14
740
+ [2025-10-28 17:19:42] (step=0066900) Train Loss: 0.6385, Train Steps/Sec: 1.14
741
+ [2025-10-28 17:21:10] (step=0067000) Train Loss: 0.6387, Train Steps/Sec: 1.14
742
+ [2025-10-28 17:22:37] (step=0067100) Train Loss: 0.6403, Train Steps/Sec: 1.14
743
+ [2025-10-28 17:24:05] (step=0067200) Train Loss: 0.6389, Train Steps/Sec: 1.14
744
+ [2025-10-28 17:25:32] (step=0067300) Train Loss: 0.6391, Train Steps/Sec: 1.14
745
+ [2025-10-28 17:27:00] (step=0067400) Train Loss: 0.6350, Train Steps/Sec: 1.14
746
+ [2025-10-28 17:28:28] (step=0067500) Train Loss: 0.6399, Train Steps/Sec: 1.14
747
+ [2025-10-28 17:29:16] Beginning epoch 54...
748
+ [2025-10-28 17:29:59] (step=0067600) Train Loss: 0.6393, Train Steps/Sec: 1.10
749
+ [2025-10-28 17:31:27] (step=0067700) Train Loss: 0.6375, Train Steps/Sec: 1.14
750
+ [2025-10-28 17:32:54] (step=0067800) Train Loss: 0.6396, Train Steps/Sec: 1.14
751
+ [2025-10-28 17:34:22] (step=0067900) Train Loss: 0.6367, Train Steps/Sec: 1.14
752
+ [2025-10-28 17:35:49] (step=0068000) Train Loss: 0.6387, Train Steps/Sec: 1.14
753
+ [2025-10-28 17:37:17] (step=0068100) Train Loss: 0.6381, Train Steps/Sec: 1.14
754
+ [2025-10-28 17:38:44] (step=0068200) Train Loss: 0.6390, Train Steps/Sec: 1.14
755
+ [2025-10-28 17:40:13] (step=0068300) Train Loss: 0.6373, Train Steps/Sec: 1.13
756
+ [2025-10-28 17:41:40] (step=0068400) Train Loss: 0.6367, Train Steps/Sec: 1.14
757
+ [2025-10-28 17:43:08] (step=0068500) Train Loss: 0.6364, Train Steps/Sec: 1.14
758
+ [2025-10-28 17:44:35] (step=0068600) Train Loss: 0.6362, Train Steps/Sec: 1.14
759
+ [2025-10-28 17:46:03] (step=0068700) Train Loss: 0.6383, Train Steps/Sec: 1.14
760
+ [2025-10-28 17:47:30] (step=0068800) Train Loss: 0.6381, Train Steps/Sec: 1.14
761
+ [2025-10-28 17:47:36] Beginning epoch 55...
762
+ [2025-10-28 17:49:01] (step=0068900) Train Loss: 0.6367, Train Steps/Sec: 1.10
763
+ [2025-10-28 17:50:29] (step=0069000) Train Loss: 0.6364, Train Steps/Sec: 1.14
764
+ [2025-10-28 17:51:57] (step=0069100) Train Loss: 0.6363, Train Steps/Sec: 1.14
765
+ [2025-10-28 17:53:25] (step=0069200) Train Loss: 0.6368, Train Steps/Sec: 1.14
766
+ [2025-10-28 17:54:52] (step=0069300) Train Loss: 0.6368, Train Steps/Sec: 1.14
767
+ [2025-10-28 17:56:20] (step=0069400) Train Loss: 0.6377, Train Steps/Sec: 1.14
768
+ [2025-10-28 17:57:47] (step=0069500) Train Loss: 0.6362, Train Steps/Sec: 1.14
769
+ [2025-10-28 17:59:15] (step=0069600) Train Loss: 0.6395, Train Steps/Sec: 1.14
770
+ [2025-10-28 18:00:42] (step=0069700) Train Loss: 0.6371, Train Steps/Sec: 1.14
771
+ [2025-10-28 18:02:10] (step=0069800) Train Loss: 0.6366, Train Steps/Sec: 1.14
772
+ [2025-10-28 18:03:37] (step=0069900) Train Loss: 0.6374, Train Steps/Sec: 1.14
773
+ [2025-10-28 18:05:05] (step=0070000) Train Loss: 0.6385, Train Steps/Sec: 1.14
774
+ [2025-10-28 18:05:55] Beginning epoch 56...
775
+ [2025-10-28 18:06:36] (step=0070100) Train Loss: 0.6334, Train Steps/Sec: 1.10
776
+ [2025-10-28 18:08:04] (step=0070200) Train Loss: 0.6377, Train Steps/Sec: 1.14
777
+ [2025-10-28 18:09:32] (step=0070300) Train Loss: 0.6376, Train Steps/Sec: 1.14
778
+ [2025-10-28 18:10:59] (step=0070400) Train Loss: 0.6353, Train Steps/Sec: 1.14
779
+ [2025-10-28 18:12:27] (step=0070500) Train Loss: 0.6382, Train Steps/Sec: 1.14
780
+ [2025-10-28 18:13:54] (step=0070600) Train Loss: 0.6358, Train Steps/Sec: 1.14
781
+ [2025-10-28 18:15:22] (step=0070700) Train Loss: 0.6371, Train Steps/Sec: 1.14
782
+ [2025-10-28 18:16:49] (step=0070800) Train Loss: 0.6366, Train Steps/Sec: 1.14
783
+ [2025-10-28 18:18:17] (step=0070900) Train Loss: 0.6378, Train Steps/Sec: 1.13
784
+ [2025-10-28 18:19:45] (step=0071000) Train Loss: 0.6364, Train Steps/Sec: 1.14
785
+ [2025-10-28 18:21:12] (step=0071100) Train Loss: 0.6380, Train Steps/Sec: 1.14
786
+ [2025-10-28 18:22:40] (step=0071200) Train Loss: 0.6381, Train Steps/Sec: 1.14
787
+ [2025-10-28 18:24:08] (step=0071300) Train Loss: 0.6381, Train Steps/Sec: 1.14
788
+ [2025-10-28 18:24:14] Beginning epoch 57...
789
+ [2025-10-28 18:25:39] (step=0071400) Train Loss: 0.6356, Train Steps/Sec: 1.10
790
+ [2025-10-28 18:27:07] (step=0071500) Train Loss: 0.6349, Train Steps/Sec: 1.14
791
+ [2025-10-28 18:28:34] (step=0071600) Train Loss: 0.6366, Train Steps/Sec: 1.14
792
+ [2025-10-28 18:30:02] (step=0071700) Train Loss: 0.6380, Train Steps/Sec: 1.14
793
+ [2025-10-28 18:31:30] (step=0071800) Train Loss: 0.6384, Train Steps/Sec: 1.14
794
+ [2025-10-28 18:32:58] (step=0071900) Train Loss: 0.6355, Train Steps/Sec: 1.14
795
+ [2025-10-28 18:34:25] (step=0072000) Train Loss: 0.6348, Train Steps/Sec: 1.14
796
+ [2025-10-28 18:35:53] (step=0072100) Train Loss: 0.6349, Train Steps/Sec: 1.14
797
+ [2025-10-28 18:37:20] (step=0072200) Train Loss: 0.6357, Train Steps/Sec: 1.14
798
+ [2025-10-28 18:38:48] (step=0072300) Train Loss: 0.6363, Train Steps/Sec: 1.14
799
+ [2025-10-28 18:40:15] (step=0072400) Train Loss: 0.6366, Train Steps/Sec: 1.14
800
+ [2025-10-28 18:41:43] (step=0072500) Train Loss: 0.6361, Train Steps/Sec: 1.14
801
+ [2025-10-28 18:42:34] Beginning epoch 58...
802
+ [2025-10-28 18:43:14] (step=0072600) Train Loss: 0.6372, Train Steps/Sec: 1.10
803
+ [2025-10-28 18:44:41] (step=0072700) Train Loss: 0.6373, Train Steps/Sec: 1.14
804
+ [2025-10-28 18:46:09] (step=0072800) Train Loss: 0.6355, Train Steps/Sec: 1.14
805
+ [2025-10-28 18:47:36] (step=0072900) Train Loss: 0.6374, Train Steps/Sec: 1.14
806
+ [2025-10-28 18:49:04] (step=0073000) Train Loss: 0.6358, Train Steps/Sec: 1.14
807
+ [2025-10-28 18:50:32] (step=0073100) Train Loss: 0.6367, Train Steps/Sec: 1.14
808
+ [2025-10-28 18:51:59] (step=0073200) Train Loss: 0.6346, Train Steps/Sec: 1.14
809
+ [2025-10-28 18:53:27] (step=0073300) Train Loss: 0.6348, Train Steps/Sec: 1.14
810
+ [2025-10-28 18:54:54] (step=0073400) Train Loss: 0.6365, Train Steps/Sec: 1.14
811
+ [2025-10-28 18:56:22] (step=0073500) Train Loss: 0.6352, Train Steps/Sec: 1.14
812
+ [2025-10-28 18:57:50] (step=0073600) Train Loss: 0.6356, Train Steps/Sec: 1.14
813
+ [2025-10-28 18:59:17] (step=0073700) Train Loss: 0.6364, Train Steps/Sec: 1.14
814
+ [2025-10-28 19:00:45] (step=0073800) Train Loss: 0.6352, Train Steps/Sec: 1.14
815
+ [2025-10-28 19:00:53] Beginning epoch 59...
816
+ [2025-10-28 19:02:16] (step=0073900) Train Loss: 0.6355, Train Steps/Sec: 1.10
817
+ [2025-10-28 19:03:44] (step=0074000) Train Loss: 0.6365, Train Steps/Sec: 1.14
818
+ [2025-10-28 19:05:11] (step=0074100) Train Loss: 0.6363, Train Steps/Sec: 1.14
819
+ [2025-10-28 19:06:39] (step=0074200) Train Loss: 0.6343, Train Steps/Sec: 1.14
820
+ [2025-10-28 19:08:07] (step=0074300) Train Loss: 0.6368, Train Steps/Sec: 1.14
821
+ [2025-10-28 19:09:34] (step=0074400) Train Loss: 0.6346, Train Steps/Sec: 1.14
822
+ [2025-10-28 19:11:02] (step=0074500) Train Loss: 0.6355, Train Steps/Sec: 1.14
823
+ [2025-10-28 19:12:29] (step=0074600) Train Loss: 0.6368, Train Steps/Sec: 1.14
824
+ [2025-10-28 19:13:57] (step=0074700) Train Loss: 0.6344, Train Steps/Sec: 1.14
825
+ [2025-10-28 19:15:24] (step=0074800) Train Loss: 0.6348, Train Steps/Sec: 1.14
826
+ [2025-10-28 19:16:52] (step=0074900) Train Loss: 0.6338, Train Steps/Sec: 1.14
827
+ [2025-10-28 19:18:20] (step=0075000) Train Loss: 0.6361, Train Steps/Sec: 1.14
828
+ [2025-10-28 19:19:12] Saved checkpoint to results/stage2/hfdata/lightningdit-xl-webssl-vit-dino1b-bf16/checkpoints/0075000.pt
829
+ [2025-10-28 19:19:12] Generating EMA samples...
830
+ [2025-10-28 19:19:40] Generating EMA samples done.
831
+ [2025-10-28 19:20:33] Beginning epoch 60...
832
+ [2025-10-28 19:21:11] (step=0075100) Train Loss: 0.6355, Train Steps/Sec: 0.58
833
+ [2025-10-28 19:22:39] (step=0075200) Train Loss: 0.6335, Train Steps/Sec: 1.13
834
+ [2025-10-28 19:24:07] (step=0075300) Train Loss: 0.6338, Train Steps/Sec: 1.14
835
+ [2025-10-28 19:25:34] (step=0075400) Train Loss: 0.6349, Train Steps/Sec: 1.14
836
+ [2025-10-28 19:27:02] (step=0075500) Train Loss: 0.6340, Train Steps/Sec: 1.14
837
+ [2025-10-28 19:28:29] (step=0075600) Train Loss: 0.6361, Train Steps/Sec: 1.14
838
+ [2025-10-28 19:29:57] (step=0075700) Train Loss: 0.6371, Train Steps/Sec: 1.14
839
+ [2025-10-28 19:31:24] (step=0075800) Train Loss: 0.6355, Train Steps/Sec: 1.14
840
+ [2025-10-28 19:32:52] (step=0075900) Train Loss: 0.6370, Train Steps/Sec: 1.14
841
+ [2025-10-28 19:34:20] (step=0076000) Train Loss: 0.6340, Train Steps/Sec: 1.14
842
+ [2025-10-28 19:35:48] (step=0076100) Train Loss: 0.6362, Train Steps/Sec: 1.14
843
+ [2025-10-28 19:37:15] (step=0076200) Train Loss: 0.6345, Train Steps/Sec: 1.14
844
+ [2025-10-28 19:38:43] (step=0076300) Train Loss: 0.6361, Train Steps/Sec: 1.14
845
+ [2025-10-28 19:38:53] Beginning epoch 61...
846
+ [2025-10-28 19:40:14] (step=0076400) Train Loss: 0.6364, Train Steps/Sec: 1.10
847
+ [2025-10-28 19:41:41] (step=0076500) Train Loss: 0.6341, Train Steps/Sec: 1.14
848
+ [2025-10-28 19:43:09] (step=0076600) Train Loss: 0.6372, Train Steps/Sec: 1.14
849
+ [2025-10-28 19:44:37] (step=0076700) Train Loss: 0.6340, Train Steps/Sec: 1.14
850
+ [2025-10-28 19:46:04] (step=0076800) Train Loss: 0.6355, Train Steps/Sec: 1.14
851
+ [2025-10-28 19:47:32] (step=0076900) Train Loss: 0.6350, Train Steps/Sec: 1.14
852
+ [2025-10-28 19:49:00] (step=0077000) Train Loss: 0.6346, Train Steps/Sec: 1.14
853
+ [2025-10-28 19:50:27] (step=0077100) Train Loss: 0.6357, Train Steps/Sec: 1.14
854
+ [2025-10-28 19:51:55] (step=0077200) Train Loss: 0.6348, Train Steps/Sec: 1.14
855
+ [2025-10-28 19:53:22] (step=0077300) Train Loss: 0.6355, Train Steps/Sec: 1.14
856
+ [2025-10-28 19:54:50] (step=0077400) Train Loss: 0.6346, Train Steps/Sec: 1.14
857
+ [2025-10-28 19:56:17] (step=0077500) Train Loss: 0.6349, Train Steps/Sec: 1.14
858
+ [2025-10-28 19:57:12] Beginning epoch 62...
859
+ [2025-10-28 19:57:48] (step=0077600) Train Loss: 0.6352, Train Steps/Sec: 1.10
860
+ [2025-10-28 19:59:16] (step=0077700) Train Loss: 0.6342, Train Steps/Sec: 1.14
861
+ [2025-10-28 20:00:45] (step=0077800) Train Loss: 0.6327, Train Steps/Sec: 1.13
862
+ [2025-10-28 20:02:12] (step=0077900) Train Loss: 0.6327, Train Steps/Sec: 1.14
863
+ [2025-10-28 20:03:40] (step=0078000) Train Loss: 0.6337, Train Steps/Sec: 1.14
864
+ [2025-10-28 20:05:07] (step=0078100) Train Loss: 0.6361, Train Steps/Sec: 1.14
865
+ [2025-10-28 20:06:35] (step=0078200) Train Loss: 0.6346, Train Steps/Sec: 1.14
866
+ [2025-10-28 20:08:02] (step=0078300) Train Loss: 0.6349, Train Steps/Sec: 1.14
867
+ [2025-10-28 20:09:30] (step=0078400) Train Loss: 0.6350, Train Steps/Sec: 1.14
868
+ [2025-10-28 20:10:57] (step=0078500) Train Loss: 0.6356, Train Steps/Sec: 1.14
869
+ [2025-10-28 20:12:25] (step=0078600) Train Loss: 0.6325, Train Steps/Sec: 1.14
870
+ [2025-10-28 20:13:53] (step=0078700) Train Loss: 0.6345, Train Steps/Sec: 1.14
871
+ [2025-10-28 20:15:20] (step=0078800) Train Loss: 0.6362, Train Steps/Sec: 1.14
872
+ [2025-10-28 20:15:32] Beginning epoch 63...
873
+ [2025-10-28 20:16:51] (step=0078900) Train Loss: 0.6338, Train Steps/Sec: 1.10
874
+ [2025-10-28 20:18:19] (step=0079000) Train Loss: 0.6350, Train Steps/Sec: 1.14
875
+ [2025-10-28 20:19:46] (step=0079100) Train Loss: 0.6352, Train Steps/Sec: 1.14
876
+ [2025-10-28 20:21:14] (step=0079200) Train Loss: 0.6343, Train Steps/Sec: 1.14
877
+ [2025-10-28 20:22:41] (step=0079300) Train Loss: 0.6358, Train Steps/Sec: 1.14
878
+ [2025-10-28 20:24:09] (step=0079400) Train Loss: 0.6348, Train Steps/Sec: 1.14
879
+ [2025-10-28 20:25:37] (step=0079500) Train Loss: 0.6350, Train Steps/Sec: 1.13
880
+ [2025-10-28 20:27:05] (step=0079600) Train Loss: 0.6358, Train Steps/Sec: 1.14
881
+ [2025-10-28 20:28:32] (step=0079700) Train Loss: 0.6335, Train Steps/Sec: 1.14
882
+ [2025-10-28 20:30:00] (step=0079800) Train Loss: 0.6324, Train Steps/Sec: 1.14
883
+ [2025-10-28 20:31:27] (step=0079900) Train Loss: 0.6347, Train Steps/Sec: 1.14
884
+ [2025-10-28 20:32:55] (step=0080000) Train Loss: 0.6331, Train Steps/Sec: 1.14
885
+ [2025-10-28 20:33:51] Beginning epoch 64...
886
+ [2025-10-28 20:34:26] (step=0080100) Train Loss: 0.6364, Train Steps/Sec: 1.10
887
+ [2025-10-28 20:35:54] (step=0080200) Train Loss: 0.6356, Train Steps/Sec: 1.14
888
+ [2025-10-28 20:37:21] (step=0080300) Train Loss: 0.6342, Train Steps/Sec: 1.14
889
+ [2025-10-28 20:38:50] (step=0080400) Train Loss: 0.6334, Train Steps/Sec: 1.13
890
+ [2025-10-28 20:40:17] (step=0080500) Train Loss: 0.6352, Train Steps/Sec: 1.14
891
+ [2025-10-28 20:41:45] (step=0080600) Train Loss: 0.6337, Train Steps/Sec: 1.14
892
+ [2025-10-28 20:43:12] (step=0080700) Train Loss: 0.6347, Train Steps/Sec: 1.14
893
+ [2025-10-28 20:44:40] (step=0080800) Train Loss: 0.6343, Train Steps/Sec: 1.14
894
+ [2025-10-28 20:46:07] (step=0080900) Train Loss: 0.6329, Train Steps/Sec: 1.14
895
+ [2025-10-28 20:47:35] (step=0081000) Train Loss: 0.6340, Train Steps/Sec: 1.14
896
+ [2025-10-28 20:49:02] (step=0081100) Train Loss: 0.6358, Train Steps/Sec: 1.14
897
+ [2025-10-28 20:50:30] (step=0081200) Train Loss: 0.6338, Train Steps/Sec: 1.14
898
+ [2025-10-28 20:51:58] (step=0081300) Train Loss: 0.6337, Train Steps/Sec: 1.14
899
+ [2025-10-28 20:52:12] Beginning epoch 65...
900
+ [2025-10-28 20:53:29] (step=0081400) Train Loss: 0.6368, Train Steps/Sec: 1.10
901
+ [2025-10-28 20:54:56] (step=0081500) Train Loss: 0.6319, Train Steps/Sec: 1.14
902
+ [2025-10-28 20:56:24] (step=0081600) Train Loss: 0.6320, Train Steps/Sec: 1.14
903
+ [2025-10-28 20:57:52] (step=0081700) Train Loss: 0.6322, Train Steps/Sec: 1.14
904
+ [2025-10-28 20:59:19] (step=0081800) Train Loss: 0.6351, Train Steps/Sec: 1.14
905
+ [2025-10-28 21:00:47] (step=0081900) Train Loss: 0.6341, Train Steps/Sec: 1.14
906
+ [2025-10-28 21:02:14] (step=0082000) Train Loss: 0.6341, Train Steps/Sec: 1.14
907
+ [2025-10-28 21:03:43] (step=0082100) Train Loss: 0.6328, Train Steps/Sec: 1.13
908
+ [2025-10-28 21:05:10] (step=0082200) Train Loss: 0.6331, Train Steps/Sec: 1.14
909
+ [2025-10-28 21:06:38] (step=0082300) Train Loss: 0.6355, Train Steps/Sec: 1.14
910
+ [2025-10-28 21:08:05] (step=0082400) Train Loss: 0.6346, Train Steps/Sec: 1.14
911
+ [2025-10-28 21:09:33] (step=0082500) Train Loss: 0.6351, Train Steps/Sec: 1.14
912
+ [2025-10-28 21:10:32] Beginning epoch 66...
913
+ [2025-10-28 21:11:04] (step=0082600) Train Loss: 0.6323, Train Steps/Sec: 1.10
914
+ [2025-10-28 21:12:32] (step=0082700) Train Loss: 0.6336, Train Steps/Sec: 1.14
915
+ [2025-10-28 21:13:59] (step=0082800) Train Loss: 0.6355, Train Steps/Sec: 1.14
916
+ [2025-10-28 21:15:27] (step=0082900) Train Loss: 0.6333, Train Steps/Sec: 1.14
917
+ [2025-10-28 21:16:55] (step=0083000) Train Loss: 0.6325, Train Steps/Sec: 1.14
918
+ [2025-10-28 21:18:23] (step=0083100) Train Loss: 0.6333, Train Steps/Sec: 1.14
919
+ [2025-10-28 21:19:50] (step=0083200) Train Loss: 0.6327, Train Steps/Sec: 1.14
920
+ [2025-10-28 21:21:18] (step=0083300) Train Loss: 0.6362, Train Steps/Sec: 1.14
921
+ [2025-10-28 21:22:46] (step=0083400) Train Loss: 0.6320, Train Steps/Sec: 1.14
922
+ [2025-10-28 21:24:13] (step=0083500) Train Loss: 0.6339, Train Steps/Sec: 1.14
923
+ [2025-10-28 21:25:41] (step=0083600) Train Loss: 0.6330, Train Steps/Sec: 1.14
924
+ [2025-10-28 21:27:08] (step=0083700) Train Loss: 0.6335, Train Steps/Sec: 1.14
925
+ [2025-10-28 21:28:36] (step=0083800) Train Loss: 0.6331, Train Steps/Sec: 1.14
926
+ [2025-10-28 21:28:52] Beginning epoch 67...
927
+ [2025-10-28 21:30:07] (step=0083900) Train Loss: 0.6328, Train Steps/Sec: 1.10
928
+ [2025-10-28 21:31:35] (step=0084000) Train Loss: 0.6324, Train Steps/Sec: 1.14
929
+ [2025-10-28 21:33:03] (step=0084100) Train Loss: 0.6334, Train Steps/Sec: 1.14
930
+ [2025-10-28 21:34:30] (step=0084200) Train Loss: 0.6336, Train Steps/Sec: 1.14
931
+ [2025-10-28 21:35:58] (step=0084300) Train Loss: 0.6349, Train Steps/Sec: 1.14
932
+ [2025-10-28 21:37:25] (step=0084400) Train Loss: 0.6342, Train Steps/Sec: 1.14
933
+ [2025-10-28 21:38:53] (step=0084500) Train Loss: 0.6336, Train Steps/Sec: 1.14
934
+ [2025-10-28 21:40:20] (step=0084600) Train Loss: 0.6337, Train Steps/Sec: 1.14
935
+ [2025-10-28 21:41:48] (step=0084700) Train Loss: 0.6352, Train Steps/Sec: 1.13
936
+ [2025-10-28 21:43:16] (step=0084800) Train Loss: 0.6328, Train Steps/Sec: 1.14
937
+ [2025-10-28 21:44:44] (step=0084900) Train Loss: 0.6341, Train Steps/Sec: 1.14
938
+ [2025-10-28 21:46:11] (step=0085000) Train Loss: 0.6332, Train Steps/Sec: 1.14
939
+ [2025-10-28 21:47:11] Beginning epoch 68...
940
+ [2025-10-28 21:47:43] (step=0085100) Train Loss: 0.6332, Train Steps/Sec: 1.08
941
+ [2025-10-28 21:49:11] (step=0085200) Train Loss: 0.6322, Train Steps/Sec: 1.14
942
+ [2025-10-28 21:50:38] (step=0085300) Train Loss: 0.6327, Train Steps/Sec: 1.14
943
+ [2025-10-28 21:52:06] (step=0085400) Train Loss: 0.6340, Train Steps/Sec: 1.14
944
+ [2025-10-28 21:53:34] (step=0085500) Train Loss: 0.6335, Train Steps/Sec: 1.14
945
+ [2025-10-28 21:55:02] (step=0085600) Train Loss: 0.6330, Train Steps/Sec: 1.14
946
+ [2025-10-28 21:56:30] (step=0085700) Train Loss: 0.6338, Train Steps/Sec: 1.14
947
+ [2025-10-28 21:57:57] (step=0085800) Train Loss: 0.6332, Train Steps/Sec: 1.14
948
+ [2025-10-28 21:59:25] (step=0085900) Train Loss: 0.6326, Train Steps/Sec: 1.14
949
+ [2025-10-28 22:00:52] (step=0086000) Train Loss: 0.6347, Train Steps/Sec: 1.14
950
+ [2025-10-28 22:02:20] (step=0086100) Train Loss: 0.6320, Train Steps/Sec: 1.14
951
+ [2025-10-28 22:03:47] (step=0086200) Train Loss: 0.6326, Train Steps/Sec: 1.14
952
+ [2025-10-28 22:05:15] (step=0086300) Train Loss: 0.6327, Train Steps/Sec: 1.14
953
+ [2025-10-28 22:05:32] Beginning epoch 69...
954
+ [2025-10-28 22:06:47] (step=0086400) Train Loss: 0.6327, Train Steps/Sec: 1.09
955
+ [2025-10-28 22:08:14] (step=0086500) Train Loss: 0.6328, Train Steps/Sec: 1.14
956
+ [2025-10-28 22:09:42] (step=0086600) Train Loss: 0.6333, Train Steps/Sec: 1.14
957
+ [2025-10-28 22:11:09] (step=0086700) Train Loss: 0.6350, Train Steps/Sec: 1.14
958
+ [2025-10-28 22:12:37] (step=0086800) Train Loss: 0.6331, Train Steps/Sec: 1.14
959
+ [2025-10-28 22:14:05] (step=0086900) Train Loss: 0.6334, Train Steps/Sec: 1.14
960
+ [2025-10-28 22:15:32] (step=0087000) Train Loss: 0.6343, Train Steps/Sec: 1.14
961
+ [2025-10-28 22:17:00] (step=0087100) Train Loss: 0.6324, Train Steps/Sec: 1.14
962
+ [2025-10-28 22:18:27] (step=0087200) Train Loss: 0.6336, Train Steps/Sec: 1.14
963
+ [2025-10-28 22:19:55] (step=0087300) Train Loss: 0.6328, Train Steps/Sec: 1.14
964
+ [2025-10-28 22:21:23] (step=0087400) Train Loss: 0.6353, Train Steps/Sec: 1.14
965
+ [2025-10-28 22:22:50] (step=0087500) Train Loss: 0.6330, Train Steps/Sec: 1.14
966
+ [2025-10-28 22:23:52] Beginning epoch 70...
967
+ [2025-10-28 22:24:21] (step=0087600) Train Loss: 0.6338, Train Steps/Sec: 1.10
968
+ [2025-10-28 22:25:49] (step=0087700) Train Loss: 0.6326, Train Steps/Sec: 1.14
969
+ [2025-10-28 22:27:16] (step=0087800) Train Loss: 0.6347, Train Steps/Sec: 1.14
970
+ [2025-10-28 22:28:44] (step=0087900) Train Loss: 0.6334, Train Steps/Sec: 1.14
971
+ [2025-10-28 22:30:11] (step=0088000) Train Loss: 0.6323, Train Steps/Sec: 1.14
972
+ [2025-10-28 22:31:39] (step=0088100) Train Loss: 0.6312, Train Steps/Sec: 1.14
973
+ [2025-10-28 22:33:07] (step=0088200) Train Loss: 0.6315, Train Steps/Sec: 1.14
974
+ [2025-10-28 22:34:35] (step=0088300) Train Loss: 0.6341, Train Steps/Sec: 1.14
975
+ [2025-10-28 22:36:02] (step=0088400) Train Loss: 0.6346, Train Steps/Sec: 1.14
976
+ [2025-10-28 22:37:30] (step=0088500) Train Loss: 0.6313, Train Steps/Sec: 1.14
977
+ [2025-10-28 22:38:57] (step=0088600) Train Loss: 0.6318, Train Steps/Sec: 1.14
978
+ [2025-10-28 22:40:25] (step=0088700) Train Loss: 0.6327, Train Steps/Sec: 1.14
979
+ [2025-10-28 22:41:52] (step=0088800) Train Loss: 0.6344, Train Steps/Sec: 1.14
980
+ [2025-10-28 22:42:12] Beginning epoch 71...
981
+ [2025-10-28 22:43:24] (step=0088900) Train Loss: 0.6300, Train Steps/Sec: 1.10
982
+ [2025-10-28 22:44:52] (step=0089000) Train Loss: 0.6332, Train Steps/Sec: 1.14
983
+ [2025-10-28 22:46:19] (step=0089100) Train Loss: 0.6340, Train Steps/Sec: 1.14
984
+ [2025-10-28 22:47:47] (step=0089200) Train Loss: 0.6321, Train Steps/Sec: 1.14
985
+ [2025-10-28 22:49:14] (step=0089300) Train Loss: 0.6328, Train Steps/Sec: 1.14
986
+ [2025-10-28 22:50:42] (step=0089400) Train Loss: 0.6317, Train Steps/Sec: 1.14
987
+ [2025-10-28 22:52:09] (step=0089500) Train Loss: 0.6327, Train Steps/Sec: 1.14
988
+ [2025-10-28 22:53:37] (step=0089600) Train Loss: 0.6341, Train Steps/Sec: 1.14
989
+ [2025-10-28 22:55:05] (step=0089700) Train Loss: 0.6329, Train Steps/Sec: 1.14