Multiple distributions found for package optimum. Picked distribution: optimum
[2026-07-09 23:19:49-INFO]: Found 77539 target latent files
Set CUDA_VISIBLE_DEVICES to 0
[2026-07-09 23:19:49-INFO]: Image Num 77539, steps per epoch: 77539
[2026-07-09 23:19:55-INFO]: Model size: 0.471B
[2026-07-09 23:19:55-INFO]: Loading checkpoint: ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2850000.pth
[2026-07-09 23:19:59-INFO]: EMA model loaded
[2026-07-09 23:19:59-INFO]: Successfully loaded checkpoint from step 2850000
[2026-07-09 23:19:59-INFO]: Resumed from step 2850000
[2026-07-09 23:19:59-INFO]: Gradient Accumulation Steps: 1
[2026-07-09 23:19:59-INFO]: Effective Batch Size: 1
[2026-07-09 23:19:59-INFO]: Start training loop (single GPU, Symbiosis)
[2026-07-09 23:20:01-WARNING]: Abnormal loss skipped at step 2850003: 0.9877
[2026-07-09 23:20:02-WARNING]: Abnormal loss skipped at step 2850006: 0.9001
[2026-07-09 23:20:02-INFO]: epoch 0-step 2850010 loss: 0.403336 (accumulated 1 forwards)
[2026-07-09 23:20:03-WARNING]: Abnormal loss skipped at step 2850011: 0.9313
[2026-07-09 23:20:04-WARNING]: Abnormal loss skipped at step 2850016: 0.8554
[2026-07-09 23:20:05-INFO]: epoch 0-step 2850020 loss: 0.669383 (accumulated 1 forwards)
[2026-07-09 23:20:05-WARNING]: Abnormal loss skipped at step 2850021: 0.8017
[2026-07-09 23:20:05-WARNING]: Abnormal loss skipped at step 2850022: 0.9433
[2026-07-09 23:20:06-WARNING]: Abnormal loss skipped at step 2850023: 0.9063
[2026-07-09 23:20:06-WARNING]: Abnormal loss skipped at step 2850025: 0.8152
[2026-07-09 23:20:06-WARNING]: Abnormal loss skipped at step 2850026: 1.0535
[2026-07-09 23:20:06-WARNING]: Abnormal loss skipped at step 2850027: 0.9234
[2026-07-09 23:20:07-INFO]: epoch 0-step 2850030 loss: 0.694699 (accumulated 1 forwards)
Multiple distributions found for package optimum. Picked distribution: optimum
[2026-07-09 23:21:27-INFO]: Found 77539 target latent files
Set CUDA_VISIBLE_DEVICES to 0
[2026-07-09 23:21:27-INFO]: Image Num 77539, steps per epoch: 77539
[2026-07-09 23:21:33-INFO]: Model size: 0.471B
[2026-07-09 23:21:33-INFO]: Loading checkpoint: ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2850000.pth
[2026-07-09 23:21:37-INFO]: EMA model loaded
[2026-07-09 23:21:37-INFO]: Successfully loaded checkpoint from step 2850000
[2026-07-09 23:21:37-INFO]: Resumed from step 2850000
[2026-07-09 23:21:37-INFO]: Gradient Accumulation Steps: 1
[2026-07-09 23:21:37-INFO]: Effective Batch Size: 1
[2026-07-09 23:21:37-INFO]: Start training loop (single GPU, Symbiosis)
[2026-07-09 23:21:40-INFO]: epoch 0-step 2850010 loss: 0.605335 (accumulated 1 forwards)
[2026-07-09 23:21:43-INFO]: epoch 0-step 2850020 loss: 0.735790 (accumulated 1 forwards)
[2026-07-09 23:21:45-INFO]: epoch 0-step 2850030 loss: 0.705630 (accumulated 1 forwards)
[2026-07-09 23:21:47-INFO]: epoch 0-step 2850040 loss: 0.802988 (accumulated 1 forwards)
[2026-07-09 23:21:50-INFO]: epoch 0-step 2850050 loss: 0.418516 (accumulated 1 forwards)
[2026-07-09 23:21:52-INFO]: epoch 0-step 2850060 loss: 0.826379 (accumulated 1 forwards)
[2026-07-09 23:21:54-INFO]: epoch 0-step 2850070 loss: 0.630274 (accumulated 1 forwards)
[2026-07-09 23:21:56-INFO]: epoch 0-step 2850080 loss: 0.777455 (accumulated 1 forwards)
[2026-07-09 23:21:59-INFO]: epoch 0-step 2850090 loss: 0.307366 (accumulated 1 forwards)
[2026-07-09 23:22:01-INFO]: epoch 0-step 2850100 loss: 0.496776 (accumulated 1 forwards)
[2026-07-09 23:22:03-INFO]: epoch 0-step 2850110 loss: 0.559018 (accumulated 1 forwards)
[2026-07-09 23:22:06-INFO]: epoch 0-step 2850120 loss: 0.630785 (accumulated 1 forwards)
[2026-07-09 23:22:08-INFO]: epoch 0-step 2850130 loss: 0.868380 (accumulated 1 forwards)
[2026-07-09 23:22:10-INFO]: epoch 0-step 2850140 loss: 0.389605 (accumulated 1 forwards)
[2026-07-09 23:22:12-INFO]: epoch 0-step 2850150 loss: 0.871568 (accumulated 1 forwards)
[2026-07-09 23:22:15-INFO]: epoch 0-step 2850160 loss: 0.893016 (accumulated 1 forwards)
[2026-07-09 23:22:17-INFO]: epoch 0-step 2850170 loss: 0.776400 (accumulated 1 forwards)
[2026-07-09 23:22:19-INFO]: epoch 0-step 2850180 loss: 0.938013 (accumulated 1 forwards)
[2026-07-09 23:22:21-INFO]: epoch 0-step 2850190 loss: 0.486453 (accumulated 1 forwards)
[2026-07-09 23:22:24-INFO]: epoch 0-step 2850200 loss: 0.981067 (accumulated 1 forwards)
[2026-07-09 23:22:26-INFO]: epoch 0-step 2850210 loss: 1.033741 (accumulated 1 forwards)
[2026-07-09 23:22:28-INFO]: epoch 0-step 2850220 loss: 0.820033 (accumulated 1 forwards)
[2026-07-09 23:22:30-INFO]: epoch 0-step 2850230 loss: 0.420432 (accumulated 1 forwards)
[2026-07-09 23:22:32-INFO]: epoch 0-step 2850240 loss: 0.522842 (accumulated 1 forwards)
[2026-07-09 23:22:35-INFO]: epoch 0-step 2850250 loss: 1.000804 (accumulated 1 forwards)
[2026-07-09 23:22:37-INFO]: epoch 0-step 2850260 loss: 0.653976 (accumulated 1 forwards)
[2026-07-09 23:22:39-INFO]: epoch 0-step 2850270 loss: 0.664723 (accumulated 1 forwards)
[2026-07-09 23:22:41-INFO]: epoch 0-step 2850280 loss: 0.663410 (accumulated 1 forwards)
Multiple distributions found for package optimum. Picked distribution: optimum
[2026-07-09 23:22:58-INFO]: Found 77539 target latent files
Set CUDA_VISIBLE_DEVICES to 0
[2026-07-09 23:22:58-INFO]: Image Num 77539, steps per epoch: 1212
[2026-07-09 23:23:04-INFO]: Model size: 0.471B
[2026-07-09 23:23:04-INFO]: Loading checkpoint: ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2850000.pth
[2026-07-09 23:23:09-INFO]: EMA model loaded
[2026-07-09 23:23:09-INFO]: Successfully loaded checkpoint from step 2850000
[2026-07-09 23:23:09-INFO]: Resumed from step 2850000
[2026-07-09 23:23:09-INFO]: Gradient Accumulation Steps: 1
[2026-07-09 23:23:09-INFO]: Effective Batch Size: 64
[2026-07-09 23:23:09-INFO]: Start training loop (single GPU, Symbiosis)
[2026-07-09 23:23:18-INFO]: epoch 0-step 2850010 loss: 0.694917 (accumulated 1 forwards)
[2026-07-09 23:23:27-INFO]: epoch 0-step 2850020 loss: 0.667323 (accumulated 1 forwards)
[2026-07-09 23:23:35-INFO]: epoch 0-step 2850030 loss: 0.696580 (accumulated 1 forwards)
[2026-07-09 23:23:44-INFO]: epoch 0-step 2850040 loss: 0.677258 (accumulated 1 forwards)
[2026-07-09 23:23:53-INFO]: epoch 0-step 2850050 loss: 0.650744 (accumulated 1 forwards)
[2026-07-09 23:24:01-INFO]: epoch 0-step 2850060 loss: 0.666706 (accumulated 1 forwards)
[2026-07-09 23:24:10-INFO]: epoch 0-step 2850070 loss: 0.623068 (accumulated 1 forwards)
[2026-07-09 23:24:19-INFO]: epoch 0-step 2850080 loss: 0.675088 (accumulated 1 forwards)
[2026-07-09 23:24:27-INFO]: epoch 0-step 2850090 loss: 0.710211 (accumulated 1 forwards)
[2026-07-09 23:24:36-INFO]: epoch 0-step 2850100 loss: 0.669952 (accumulated 1 forwards)
[2026-07-09 23:24:45-INFO]: epoch 0-step 2850110 loss: 0.695657 (accumulated 1 forwards)
[2026-07-09 23:24:53-INFO]: epoch 0-step 2850120 loss: 0.635836 (accumulated 1 forwards)
[2026-07-09 23:25:02-INFO]: epoch 0-step 2850130 loss: 0.691430 (accumulated 1 forwards)
[2026-07-09 23:25:11-INFO]: epoch 0-step 2850140 loss: 0.628232 (accumulated 1 forwards)
Multiple distributions found for package optimum. Picked distribution: optimum
[2026-07-09 23:25:48-INFO]: Found 77539 target latent files
Set CUDA_VISIBLE_DEVICES to 0
[2026-07-09 23:25:48-INFO]: Image Num 77539, steps per epoch: 1212
[2026-07-09 23:25:54-INFO]: Model size: 0.471B
[2026-07-09 23:25:54-INFO]: Loading checkpoint: ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2850000.pth
[2026-07-09 23:25:59-INFO]: EMA model loaded
[2026-07-09 23:25:59-INFO]: Successfully loaded checkpoint from step 2850000
[2026-07-09 23:25:59-INFO]: Resumed from step 2850000
[2026-07-09 23:25:59-INFO]: Gradient Accumulation Steps: 1
[2026-07-09 23:25:59-INFO]: Effective Batch Size: 64
[2026-07-09 23:25:59-INFO]: Start training loop (single GPU, Symbiosis)
Multiple distributions found for package optimum. Picked distribution: optimum
[2026-07-09 23:26:42-INFO]: Found 77539 target latent files
Set CUDA_VISIBLE_DEVICES to 0
[2026-07-09 23:26:42-INFO]: Image Num 77539, steps per epoch: 1212
[2026-07-09 23:26:48-INFO]: Model size: 0.471B
[2026-07-09 23:26:48-INFO]: Loading checkpoint: ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2850000.pth
[2026-07-09 23:26:53-INFO]: EMA model loaded
[2026-07-09 23:26:53-INFO]: Successfully loaded checkpoint from step 2850000
[2026-07-09 23:26:53-INFO]: Resumed from step 2850000
[2026-07-09 23:26:53-INFO]: Gradient Accumulation Steps: 1
[2026-07-09 23:26:53-INFO]: Effective Batch Size: 64
[2026-07-09 23:26:53-INFO]: Start training loop (single GPU, Symbiosis)
[2026-07-09 23:27:02-INFO]: epoch 0-step 2850010 loss: 0.713188 (accumulated 1 forwards)
[2026-07-09 23:27:11-INFO]: epoch 0-step 2850020 loss: 0.704570 (accumulated 1 forwards)
[2026-07-09 23:27:19-INFO]: epoch 0-step 2850030 loss: 0.633966 (accumulated 1 forwards)
[2026-07-09 23:27:28-INFO]: epoch 0-step 2850040 loss: 0.684981 (accumulated 1 forwards)
[2026-07-09 23:27:37-INFO]: epoch 0-step 2850050 loss: 0.691841 (accumulated 1 forwards)
[2026-07-09 23:27:45-INFO]: epoch 0-step 2850060 loss: 0.654759 (accumulated 1 forwards)
[2026-07-09 23:27:54-INFO]: epoch 0-step 2850070 loss: 0.682245 (accumulated 1 forwards)
[2026-07-09 23:28:03-INFO]: epoch 0-step 2850080 loss: 0.646253 (accumulated 1 forwards)
[2026-07-09 23:28:11-INFO]: epoch 0-step 2850090 loss: 0.702282 (accumulated 1 forwards)
[2026-07-09 23:28:20-INFO]: epoch 0-step 2850100 loss: 0.669090 (accumulated 1 forwards)
[2026-07-09 23:28:29-INFO]: epoch 0-step 2850110 loss: 0.685975 (accumulated 1 forwards)
[2026-07-09 23:28:37-INFO]: epoch 0-step 2850120 loss: 0.734544 (accumulated 1 forwards)
[2026-07-09 23:28:46-INFO]: epoch 0-step 2850130 loss: 0.652961 (accumulated 1 forwards)
[2026-07-09 23:28:55-INFO]: epoch 0-step 2850140 loss: 0.649427 (accumulated 1 forwards)
[2026-07-09 23:29:03-INFO]: epoch 0-step 2850150 loss: 0.636058 (accumulated 1 forwards)
[2026-07-09 23:29:12-INFO]: epoch 0-step 2850160 loss: 0.719843 (accumulated 1 forwards)
[2026-07-09 23:29:21-INFO]: epoch 0-step 2850170 loss: 0.691441 (accumulated 1 forwards)
[2026-07-09 23:29:30-INFO]: epoch 0-step 2850180 loss: 0.705777 (accumulated 1 forwards)
[2026-07-09 23:29:38-INFO]: epoch 0-step 2850190 loss: 0.700146 (accumulated 1 forwards)
[2026-07-09 23:29:47-INFO]: epoch 0-step 2850200 loss: 0.660260 (accumulated 1 forwards)
[2026-07-09 23:29:56-INFO]: epoch 0-step 2850210 loss: 0.667914 (accumulated 1 forwards)
[2026-07-09 23:30:04-INFO]: epoch 0-step 2850220 loss: 0.674776 (accumulated 1 forwards)
[2026-07-09 23:30:13-INFO]: epoch 0-step 2850230 loss: 0.677675 (accumulated 1 forwards)
[2026-07-09 23:30:22-INFO]: epoch 0-step 2850240 loss: 0.660327 (accumulated 1 forwards)
[2026-07-09 23:30:30-INFO]: epoch 0-step 2850250 loss: 0.669427 (accumulated 1 forwards)
[2026-07-09 23:30:39-INFO]: epoch 0-step 2850260 loss: 0.689802 (accumulated 1 forwards)
[2026-07-09 23:30:48-INFO]: epoch 0-step 2850270 loss: 0.695846 (accumulated 1 forwards)
[2026-07-09 23:30:56-INFO]: epoch 0-step 2850280 loss: 0.630290 (accumulated 1 forwards)
[2026-07-09 23:31:05-INFO]: epoch 0-step 2850290 loss: 0.694081 (accumulated 1 forwards)
[2026-07-09 23:31:14-INFO]: epoch 0-step 2850300 loss: 0.685268 (accumulated 1 forwards)
[2026-07-09 23:31:23-INFO]: epoch 0-step 2850310 loss: 0.668732 (accumulated 1 forwards)
[2026-07-09 23:31:31-INFO]: epoch 0-step 2850320 loss: 0.674441 (accumulated 1 forwards)
[2026-07-09 23:31:40-INFO]: epoch 0-step 2850330 loss: 0.611869 (accumulated 1 forwards)
[2026-07-09 23:31:49-INFO]: epoch 0-step 2850340 loss: 0.656515 (accumulated 1 forwards)
[2026-07-09 23:31:57-INFO]: epoch 0-step 2850350 loss: 0.674467 (accumulated 1 forwards)
[2026-07-09 23:32:06-INFO]: epoch 0-step 2850360 loss: 0.690718 (accumulated 1 forwards)
[2026-07-09 23:32:15-INFO]: epoch 0-step 2850370 loss: 0.673711 (accumulated 1 forwards)
[2026-07-09 23:32:24-INFO]: epoch 0-step 2850380 loss: 0.674262 (accumulated 1 forwards)
[2026-07-09 23:32:33-INFO]: epoch 0-step 2850390 loss: 0.693611 (accumulated 1 forwards)
[2026-07-09 23:32:41-INFO]: epoch 0-step 2850400 loss: 0.707833 (accumulated 1 forwards)
[2026-07-09 23:32:50-INFO]: epoch 0-step 2850410 loss: 0.653050 (accumulated 1 forwards)
[2026-07-09 23:32:59-INFO]: epoch 0-step 2850420 loss: 0.656698 (accumulated 1 forwards)
[2026-07-09 23:33:07-INFO]: epoch 0-step 2850430 loss: 0.684828 (accumulated 1 forwards)
[2026-07-09 23:33:16-INFO]: epoch 0-step 2850440 loss: 0.700313 (accumulated 1 forwards)
[2026-07-09 23:33:25-INFO]: epoch 0-step 2850450 loss: 0.691239 (accumulated 1 forwards)
[2026-07-09 23:33:33-INFO]: epoch 0-step 2850460 loss: 0.642098 (accumulated 1 forwards)
[2026-07-09 23:33:42-INFO]: epoch 0-step 2850470 loss: 0.703851 (accumulated 1 forwards)
[2026-07-09 23:33:51-INFO]: epoch 0-step 2850480 loss: 0.693704 (accumulated 1 forwards)
[2026-07-09 23:34:00-INFO]: epoch 0-step 2850490 loss: 0.703746 (accumulated 1 forwards)
[2026-07-09 23:34:08-INFO]: epoch 0-step 2850500 loss: 0.677758 (accumulated 1 forwards)
[2026-07-09 23:34:17-INFO]: epoch 0-step 2850510 loss: 0.681933 (accumulated 1 forwards)
[2026-07-09 23:34:26-INFO]: epoch 0-step 2850520 loss: 0.718844 (accumulated 1 forwards)
[2026-07-09 23:34:35-INFO]: epoch 0-step 2850530 loss: 0.677314 (accumulated 1 forwards)
[2026-07-09 23:34:43-INFO]: epoch 0-step 2850540 loss: 0.623621 (accumulated 1 forwards)
[2026-07-09 23:34:52-INFO]: epoch 0-step 2850550 loss: 0.679685 (accumulated 1 forwards)
[2026-07-09 23:35:01-INFO]: epoch 0-step 2850560 loss: 0.673747 (accumulated 1 forwards)
[2026-07-09 23:35:09-INFO]: epoch 0-step 2850570 loss: 0.653247 (accumulated 1 forwards)
[2026-07-09 23:35:18-INFO]: epoch 0-step 2850580 loss: 0.705556 (accumulated 1 forwards)
[2026-07-09 23:35:27-INFO]: epoch 0-step 2850590 loss: 0.678944 (accumulated 1 forwards)
[2026-07-09 23:35:35-INFO]: epoch 0-step 2850600 loss: 0.651916 (accumulated 1 forwards)
[2026-07-09 23:35:44-INFO]: epoch 0-step 2850610 loss: 0.677593 (accumulated 1 forwards)
[2026-07-09 23:35:53-INFO]: epoch 0-step 2850620 loss: 0.687827 (accumulated 1 forwards)
[2026-07-09 23:36:02-INFO]: epoch 0-step 2850630 loss: 0.645463 (accumulated 1 forwards)
[2026-07-09 23:36:10-INFO]: epoch 0-step 2850640 loss: 0.631469 (accumulated 1 forwards)
[2026-07-09 23:36:19-INFO]: epoch 0-step 2850650 loss: 0.679902 (accumulated 1 forwards)
[2026-07-09 23:36:28-INFO]: epoch 0-step 2850660 loss: 0.675725 (accumulated 1 forwards)
[2026-07-09 23:36:36-INFO]: epoch 0-step 2850670 loss: 0.677878 (accumulated 1 forwards)
[2026-07-09 23:36:45-INFO]: epoch 0-step 2850680 loss: 0.687418 (accumulated 1 forwards)
[2026-07-09 23:36:54-INFO]: epoch 0-step 2850690 loss: 0.659089 (accumulated 1 forwards)
[2026-07-09 23:37:03-INFO]: epoch 0-step 2850700 loss: 0.662343 (accumulated 1 forwards)
[2026-07-09 23:37:11-INFO]: epoch 0-step 2850710 loss: 0.681441 (accumulated 1 forwards)
[2026-07-09 23:37:20-INFO]: epoch 0-step 2850720 loss: 0.647209 (accumulated 1 forwards)
[2026-07-09 23:37:29-INFO]: epoch 0-step 2850730 loss: 0.664078 (accumulated 1 forwards)
[2026-07-09 23:37:37-INFO]: epoch 0-step 2850740 loss: 0.647848 (accumulated 1 forwards)
[2026-07-09 23:37:46-INFO]: epoch 0-step 2850750 loss: 0.677736 (accumulated 1 forwards)
[2026-07-09 23:37:55-INFO]: epoch 0-step 2850760 loss: 0.601223 (accumulated 1 forwards)
[2026-07-09 23:38:03-INFO]: epoch 0-step 2850770 loss: 0.677925 (accumulated 1 forwards)
[2026-07-09 23:38:12-INFO]: epoch 0-step 2850780 loss: 0.662565 (accumulated 1 forwards)
[2026-07-09 23:38:21-INFO]: epoch 0-step 2850790 loss: 0.679183 (accumulated 1 forwards)
[2026-07-09 23:38:30-INFO]: epoch 0-step 2850800 loss: 0.680473 (accumulated 1 forwards)
[2026-07-09 23:38:38-INFO]: epoch 0-step 2850810 loss: 0.658567 (accumulated 1 forwards)
[2026-07-09 23:38:47-INFO]: epoch 0-step 2850820 loss: 0.658047 (accumulated 1 forwards)
[2026-07-09 23:38:56-INFO]: epoch 0-step 2850830 loss: 0.689277 (accumulated 1 forwards)
[2026-07-09 23:39:04-INFO]: epoch 0-step 2850840 loss: 0.700831 (accumulated 1 forwards)
[2026-07-09 23:39:13-INFO]: epoch 0-step 2850850 loss: 0.671967 (accumulated 1 forwards)
[2026-07-09 23:39:22-INFO]: epoch 0-step 2850860 loss: 0.687738 (accumulated 1 forwards)
[2026-07-09 23:39:30-INFO]: epoch 0-step 2850870 loss: 0.657041 (accumulated 1 forwards)
[2026-07-09 23:39:39-INFO]: epoch 0-step 2850880 loss: 0.675531 (accumulated 1 forwards)
[2026-07-09 23:39:48-INFO]: epoch 0-step 2850890 loss: 0.662693 (accumulated 1 forwards)
[2026-07-09 23:39:56-INFO]: epoch 0-step 2850900 loss: 0.668912 (accumulated 1 forwards)
[2026-07-09 23:40:05-INFO]: epoch 0-step 2850910 loss: 0.667831 (accumulated 1 forwards)
[2026-07-09 23:40:14-INFO]: epoch 0-step 2850920 loss: 0.679928 (accumulated 1 forwards)
[2026-07-09 23:40:22-INFO]: epoch 0-step 2850930 loss: 0.656911 (accumulated 1 forwards)
[2026-07-09 23:40:31-INFO]: epoch 0-step 2850940 loss: 0.638508 (accumulated 1 forwards)
[2026-07-09 23:40:40-INFO]: epoch 0-step 2850950 loss: 0.680083 (accumulated 1 forwards)
[2026-07-09 23:40:48-INFO]: epoch 0-step 2850960 loss: 0.678730 (accumulated 1 forwards)
[2026-07-09 23:40:57-INFO]: epoch 0-step 2850970 loss: 0.645813 (accumulated 1 forwards)
[2026-07-09 23:41:06-INFO]: epoch 0-step 2850980 loss: 0.681090 (accumulated 1 forwards)
[2026-07-09 23:41:14-INFO]: epoch 0-step 2850990 loss: 0.649869 (accumulated 1 forwards)
[2026-07-09 23:41:23-INFO]: epoch 0-step 2851000 loss: 0.701333 (accumulated 1 forwards)
[2026-07-09 23:41:32-INFO]: epoch 0-step 2851010 loss: 0.661959 (accumulated 1 forwards)
[2026-07-09 23:41:41-INFO]: epoch 0-step 2851020 loss: 0.665250 (accumulated 1 forwards)
[2026-07-09 23:41:50-INFO]: epoch 0-step 2851030 loss: 0.663760 (accumulated 1 forwards)
[2026-07-09 23:41:58-INFO]: epoch 0-step 2851040 loss: 0.698233 (accumulated 1 forwards)
[2026-07-09 23:42:07-INFO]: epoch 0-step 2851050 loss: 0.692435 (accumulated 1 forwards)
[2026-07-09 23:42:16-INFO]: epoch 0-step 2851060 loss: 0.666651 (accumulated 1 forwards)
[2026-07-09 23:42:24-INFO]: epoch 0-step 2851070 loss: 0.706742 (accumulated 1 forwards)
[2026-07-09 23:42:33-INFO]: epoch 0-step 2851080 loss: 0.659218 (accumulated 1 forwards)
[2026-07-09 23:42:42-INFO]: epoch 0-step 2851090 loss: 0.683168 (accumulated 1 forwards)
[2026-07-09 23:42:50-INFO]: epoch 0-step 2851100 loss: 0.625269 (accumulated 1 forwards)
[2026-07-09 23:42:59-INFO]: epoch 0-step 2851110 loss: 0.682269 (accumulated 1 forwards)
[2026-07-09 23:43:08-INFO]: epoch 0-step 2851120 loss: 0.657013 (accumulated 1 forwards)
[2026-07-09 23:43:16-INFO]: epoch 0-step 2851130 loss: 0.671570 (accumulated 1 forwards)
[2026-07-09 23:43:25-INFO]: epoch 0-step 2851140 loss: 0.672832 (accumulated 1 forwards)
[2026-07-09 23:43:34-INFO]: epoch 0-step 2851150 loss: 0.671817 (accumulated 1 forwards)
[2026-07-09 23:43:42-INFO]: epoch 0-step 2851160 loss: 0.659801 (accumulated 1 forwards)
[2026-07-09 23:43:51-INFO]: epoch 0-step 2851170 loss: 0.615923 (accumulated 1 forwards)
[2026-07-09 23:44:00-INFO]: epoch 0-step 2851180 loss: 0.696709 (accumulated 1 forwards)
[2026-07-09 23:44:08-INFO]: epoch 0-step 2851190 loss: 0.673054 (accumulated 1 forwards)
[2026-07-09 23:44:17-INFO]: epoch 0-step 2851200 loss: 0.704690 (accumulated 1 forwards)
[2026-07-09 23:44:26-INFO]: epoch 0-step 2851210 loss: 0.653251 (accumulated 1 forwards)
[2026-07-09 23:44:27-INFO]: Reload dataloader
[2026-07-09 23:44:34-INFO]: epoch 1-step 2851220 loss: 0.649584 (accumulated 1 forwards)
[2026-07-09 23:44:43-INFO]: epoch 1-step 2851230 loss: 0.701414 (accumulated 1 forwards)
[2026-07-09 23:44:52-INFO]: epoch 1-step 2851240 loss: 0.642353 (accumulated 1 forwards)
[2026-07-09 23:45:00-INFO]: epoch 1-step 2851250 loss: 0.686894 (accumulated 1 forwards)
[2026-07-09 23:45:09-INFO]: epoch 1-step 2851260 loss: 0.657154 (accumulated 1 forwards)
[2026-07-09 23:45:18-INFO]: epoch 1-step 2851270 loss: 0.671660 (accumulated 1 forwards)
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[2026-07-10 00:02:00-INFO]: Reload dataloader
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[2026-07-10 00:37:07-INFO]: Reload dataloader
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[2026-07-10 01:12:12-INFO]: Reload dataloader
[2026-07-10 01:12:19-INFO]: epoch 6-step 2857280 loss: 0.680106 (accumulated 1 forwards)
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[2026-07-10 01:29:46-INFO]: Reload dataloader
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[2026-07-10 01:47:18-INFO]: Reload dataloader
[2026-07-10 01:47:22-INFO]: epoch 8-step 2859700 loss: 0.663814 (accumulated 1 forwards)
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[2026-07-10 01:51:43-INFO]: epoch 8-step 2860000 loss: 0.664214 (accumulated 1 forwards)
[2026-07-10 01:51:47-INFO]: Checkpoint saved at ProMoE_B/ProMoE_TC_B/stage3/checkpoints/ckpt_step_2860000.pth
[2026-07-10 01:51:56-INFO]: epoch 8-step 2860010 loss: 0.656287 (accumulated 1 forwards)
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[2026-07-10 02:04:56-INFO]: Reload dataloader
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[2026-07-10 02:22:29-INFO]: Reload dataloader
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[2026-07-10 02:40:01-INFO]: Reload dataloader
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[2026-07-10 03:15:25-INFO]: Reload dataloader
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[2026-07-10 03:33:14-INFO]: Reload dataloader
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[2026-07-10 03:51:10-INFO]: Reload dataloader
[2026-07-10 03:51:19-INFO]: epoch 15-step 2868190 loss: 1.286911 (accumulated 1 forwards)